diff --git a/docs/404.html b/docs/404.html deleted file mode 100644 index bff792b..0000000 --- a/docs/404.html +++ /dev/null @@ -1,121 +0,0 @@ - - - - - - - -Page not found (404) • flocker - - - - - - - - - - - -
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- - -Content not found. Please use links in the navbar. - -
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- - - - - - - - diff --git a/docs/LICENSE-text.html b/docs/LICENSE-text.html deleted file mode 100644 index 13f9d7d..0000000 --- a/docs/LICENSE-text.html +++ /dev/null @@ -1,95 +0,0 @@ - -License • flocker - - -
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- - - -
-
- - -
YEAR: 2021
-COPYRIGHT HOLDER: Jacob B. Socolar & Simon C. Mills
-
- -
- - - -
- - - -
- - - - - - - - diff --git a/docs/LICENSE.html b/docs/LICENSE.html deleted file mode 100644 index 235f33f..0000000 --- a/docs/LICENSE.html +++ /dev/null @@ -1,101 +0,0 @@ - -NA • flocker - - -
-
- - - -
-
- - - -

BSD 3-Clause License

-

Copyright (c) 2021, Jacob B. Socolar & Simon C. Mills All rights reserved.

-

Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:

-
  1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.

  2. -
  3. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.

  4. -
  5. Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission.

  6. -

THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS “AS IS” AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

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- - - - - - - - diff --git a/docs/articles/augmented_models.html b/docs/articles/augmented_models.html deleted file mode 100644 index c9084f9..0000000 --- a/docs/articles/augmented_models.html +++ /dev/null @@ -1,570 +0,0 @@ - - - - - - - -Data-augmented models in flocker • flocker - - - - - - - - - - - - -
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When modeling multiple ecologically comparable species -simultaneously, occupancy models often assume conditional -exchangeability across species and fit species-specific terms as random -effects. Data-augmented multi-species models leverage this -exchangeability assumption to estimate the number and prevalence of -never-detected species within the study region. To do so, the dataset is -augmented with a large number of pseudospecies with all-zero detection -histories, each species (both the observed species and the augmented -pseudospecies) is ascribed a common parameter \(\omega\) giving the Bernoulli probability -that a given (pseudo)species occurs in the study area, and -random-effects exchangeability assumptions are assumed to hold for all -species-specific modeled terms (i.e. intercepts and slopes for occupancy -and detection).

-

For a data-augmented multi-species model, we marginalize over the -occupancy status of a closure-unit as for a single-season model yielding -the unit-wise likelihood \(\mathcal{L}_i\), and we additionally -marginalize over the availability of each (pseudo)species, yielding the -species-wise likelihood \[ \mathcal{N}_s = - \begin{cases} - B(1 | \omega)\prod\limits_{i \textrm{ in } I_s}{\mathcal{L}_i} -& \text{if $r_s = 1$} \\ - B(0 | \omega) + B(1 | \omega)\prod\limits_{i \textrm{ in } -I_s}{\mathcal{L}_i}& \text{if $r_s = 0$} - \end{cases} -\] where \(s\) indexes the -species, \(\omega\) is the fitted -availability probability of a species, \(I_s\) is the set of all closure-unit -indices \(i\) pertaining to species -\(s\), \(r_s\) is an indicator that takes the value -\(1\) if there is at least one positive -detection of the (pseudo)species in the entire dataset and \(0\) otherwise.

-

Fitting the data-augmented model in requires passing the observed -data as a three-dimensional array with sites along the first dimension, -visits along the second, and species along the third. Additionally, we -must supply the n_aug argument to -make_flocker_data(), specifying how many all-zero -pseudospecies to augment the data with.

-
#> Formatting data for a single-season multispecies occupancy model with data augmentation for never-observed species. For details, see make_flocker_data_augmented.  All warnings and error messages should be interpreted in the context of make_flocker_data_augmented
-#> formatting rep indices
-#> 
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-#> Compiling Stan program...
-#> Start sampling
-

Here, the random effect of species is specified using the special -grouping keyword ff_species (names beginning with -ff_ are reserved in flocker and are not -allowed as names for user-supplied covariates).

-
-summary(fm)
-#>  Family: occupancy_augmented 
-#>   Links: mu = identity; occ = identity; Omega = identity 
-#> Formula: ff_y | vint(ff_n_unit, ff_n_rep, ff_Q, ff_n_sp, ff_superQ, ff_species, ff_rep_index1, ff_rep_index2, ff_rep_index3, ff_rep_index4) ~ uc1 + ec1 + (1 + uc1 + ec1 | ff_species) 
-#>          occ ~ (1 | ff_species)
-#>          Omega ~ 1
-#>    Data: data (Number of observations: 25600) 
-#>   Draws: 4 chains, each with iter = 2000; warmup = 1000; thin = 1;
-#>          total post-warmup draws = 4000
-#> 
-#> Group-Level Effects: 
-#> ~ff_species (Number of levels: 128) 
-#>                    Estimate Est.Error l-95% CI u-95% CI Rhat Bulk_ESS Tail_ESS
-#> sd(Intercept)          1.61      0.27     1.16     2.23 1.01     1073     1777
-#> sd(uc1)                0.26      0.11     0.07     0.50 1.00     1474     1401
-#> sd(ec1)                0.39      0.09     0.23     0.59 1.00     2359     2859
-#> sd(occ_Intercept)      1.59      0.32     1.12     2.37 1.00     1047     1405
-#> cor(Intercept,uc1)     0.75      0.21     0.17     0.97 1.00     2662     2649
-#> cor(Intercept,ec1)     0.57      0.19     0.13     0.87 1.00     2733     2620
-#> cor(uc1,ec1)           0.59      0.25    -0.00     0.94 1.01     1069     1910
-#> 
-#> Population-Level Effects: 
-#>                 Estimate Est.Error l-95% CI u-95% CI Rhat Bulk_ESS Tail_ESS
-#> Intercept           0.46      0.32    -0.23     1.04 1.01      440      884
-#> occ_Intercept       0.25      0.35    -0.46     0.89 1.01      601      726
-#> Omega_Intercept    -1.26      0.22    -1.71    -0.85 1.00     7233     2740
-#> uc1                 0.01      0.08    -0.15     0.15 1.00     1035     1347
-#> ec1                 0.07      0.09    -0.12     0.25 1.00     1023     2294
-#> 
-#> Draws were sampled using sampling(NUTS). For each parameter, Bulk_ESS
-#> and Tail_ESS are effective sample size measures, and Rhat is the potential
-#> scale reduction factor on split chains (at convergence, Rhat = 1).
-

flocker enables users to fit data-augmented models using -arbitrary brms formulas for the occupancy and detection -components. However, we caution that continuous covariates in the -occupancy sub-model can lead to pitfalls in interpretation. A seemingly -straightforward application, for example, might be to ask how many -species are present along an elevational gradient, fitting -species-specific quadratic elevation-occupancy relationships. In our -experience, a data-augmented model that includes quadratic elevation -terms will place an arbitrarily large number of pseudo-species along the -gradient, but will do so by placing pseudospecies’ estimated elevational -ranges entirely outside the range covered by the sampling effort (Socolar -et al 2022). The model is in effect trying to estimate how many -species occur in a landscape with elevations ranging from negative to -positive infinity. This extrapolation is unprincipled, most obviously -because it does not account for hard limits imposed by the physical -termina of the gradient (valley floor and mountain peak). Thus, although -flocker provides functionality to fit continuous covariates -in the occupancy term, we recommend extreme caution in interpreting -patterns estimated for never-observed species.

-
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- - - - -
- - - - - - - - diff --git a/docs/articles/flocker_tutorial.html b/docs/articles/flocker_tutorial.html deleted file mode 100644 index 7893397..0000000 --- a/docs/articles/flocker_tutorial.html +++ /dev/null @@ -1,987 +0,0 @@ - - - - - - - -Fitting occupancy models with flocker • flocker - - - - - - - - - - - - -
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-

flocker is an R package for fitting occupancy models -that incorportate sophisticated effects structures using simple -formula-based syntax. flocker is built on R package -brms, which in turn is a front-end for -Stan.

-

This vignette is intended as a companion to Socolar & Mills 2023 -(INSERT LINK), where we provide details of the models and -post-processing functionality available in flocker in -greater detail. Here, we provide illustrative R code for several types -of model, demonstrating data simulation, model fitting, and model -post-processing. We also showcase the brms syntax that -flocker can use to fit a variety of sophisticated effect -structures.

-
-

Terms and definitions -

-

Socolar & Mills (2023) introduce several terms that figure -importantly in this vignette, including:

-
    -
  • closure-unit: The groupings of observations over -which closure -is assumed. In single-species models, a closure-unit corresponds to a -“site” or “point”. In multi-species models, a closure-unit is a -species-site combination. In dynamic (multi-season) models, a -closure-unit is a site-season combination (or species-site-season in a -multi-species dynamic model).

  • -
  • rep-constant, rep-varying: We -refer to models that assume constant detection probabilities across -repeat visits within closure-units as rep-constant models, as -contrasted with rep-varying models that incorporate -event-specific detection covariates. It turns out that rep-constant -models enable a more efficient parametrization of the likelihood than -rep-varying models.

  • -
  • unit covariates, event -covariates: We refer to any covariate that does not vary across -sampling events within closure-units as a “unit covariate”. This -includes covariates that are intrinsically properties of single -closure-units (e.g. the elevations of sites in a single-species model), -covariates that are intrinsically properties of groups of closure units -(e.g.  elevations of sites in a multi-species model), and covariates -that are intrinsically properties of sampling events but happen to be -constant within all closure-units (e.g. observer in a sampling design -where every site is visited by exactly one observer). We refer to any -covariate that varies across sampling events within covariates as an -“event covariate”. Note that while unit covariates may appear in either -the occupancy or the detection formula, event covariates are restricted -to the detection formula. Models that incorporate event covariates are -rep-varying (see above); those that do not are -rep-constant.

  • -
-
-
-

Installation and feedback -

-

Installation -instructions are available here. To request features or report bugs -(much appreciated!), please open an issue on -GitHub.

-

To make flocker and brms functions globally -available within an R session run:

-
#> Loading required package: Rcpp
-#> Loading 'brms' package (version 2.20.5). Useful instructions
-#> can be found by typing help('brms'). A more detailed introduction
-#> to the package is available through vignette('brms_overview').
-#> 
-#> Attaching package: 'brms'
-#> The following object is masked from 'package:stats':
-#> 
-#>     ar
-
-
-

Data simulation -

-

General purpose data simulation is provided via -simulate_flocker_data(), which by default will simulate a -dataset with 30 species sampled at 50 sites using four replicate surveys -(i.e. a single-season multi-species dataset). Non-default arguments will -simulate example data for other likelihoods, including multi-season and -data-augmented occupancy models.

- -

The simulated data d are in list form, with elements for -the detection/non-detection observations d$obs, unit -covariates d$unit_covs, and event covariates -d$event_covs. d$obs is a matrix where rows are -species-site combinations, columns are replicate visits, and entries are -1 (detection), 0 (nondetection), or -NA (no visit). d$unit_covs is a dataframe -containing covariates that vary across the rows of obs (i.e. by -closure-unit) but not across the columns within any given row (i.e. do -not vary across replicate visits). event_covs is a named -list of matrices, with each matrix having the same dimensions as the -observation matrix. Each list element corresponds to a covariate that -varies across the columns of d$obs (i.e.  varies between -replicate visits).

-
-
-

Data formatting -

-

flock(), the main function in flocker for -fitting occupancy models, expects a highly specific data format. The -function make_flocker_data() formats data for use with -flock() automatically. For single-season models, -make_flocker_data() takes as input a matrix or dataframe of -detection/non-detection data. Rows represent closure-units, columns -represent repeated sampling events within closure-units, and entries -must be 0 (nondetection), 1 (detection), or -NA (no corresponding sampling event). The data must be -formatted so that all NAs are trailing within their rows. -For example, if some units were sampled four times and other three -times, the three sampling events must be treated as events 1, 2, and 3 -(with the fourth event NA) rather than as events 1, 3, and -4 (with the second event NA) or any other combination.

-

Many occupancy models also include covariates that influence -occupancy or detection probabilities. Unit covariates (see Terms and -definitions above) can be passed to -make_flocker_data() as a dataframe with the same number of -rows as the observation matrix and data in the same order as the rows of -the observation matrix. Columns are covariates, and we recommend using -informative column names. Event covariates (see Terms and -definitions above) can be passed as a named list of matrices whose -elements [i, j] are the covariate values for the sampling -event represented by the corresponding position of the observation -matrix. Again, we recommend using informative names for the list -elements. If the corresponding observation is NA, then the -value of the event covariate does not matter.

-

To pass data to flocker, we first pass the output from -simulate_flocker_data() to -make_flocker_data(), which will repackage data and apply -the necessary formatting:

-
-fd_rep_varying <- make_flocker_data(
-  obs = d$obs, 
-  unit_covs = d$unit_covs, 
-  event_covs = d$event_covs
-  )
-#> Formatting data for a single-season occupancy model. For details, see make_flocker_data_static. All warnings and error messages should be interpreted in the context of make_flocker_data_static
-

The function make_flocker_data() outputs an object of -class flocker_data that we can pass to flocker’s model -fitting function flock(). Note that this is the general -workflow users will need to follow with real data. Alternative inputs to -make_flocker_data() and flock() enable the -user to readily fit multi-season models as well as multi-species models -with data augmentation (see below).

-
-
-

Model fitting -

-
-

The single-season rep-varying model -

-

To fit a model, in this case a single-season multi-species occupancy -model, we use the function flock(). By supplying different -arguments to this function, all flavors of occupancy model available in -flocker can be fitted. Formulas for the different -distributional parameters in the model (occupancy, detection, -colonization, extinction, and autologistic terms as applicable) are -provided as one-sided formulas to the relevant arguments of -flock() (f_occ, f_det, -f_col, f_ex, and f_auto as -applicable).

-
-rep_varying <- flock(
-  f_occ = ~ uc1 + (1 + uc1 | species),
-  f_det = ~ uc1 + ec1 + (1 + uc1 + ec1 | species),
-  flocker_data = fd_rep_varying,
-  cores = 4,
-  silent = 2,
-  refresh = 0
-  )
-

Arguments supplied to flock() define formulas using -brms syntax for the occupancy (f_occ) and -detection (f_det) components, and also provide the -formatted data. At this stage, the full flexibility and power of -brms formula syntax are available to the user (see -following sections for some examples). rep_varying is a -brmsfit object from package brms and also a -flockerfit object from package flocker. -Post-processing functions from brms will typically not work -with this object and are instead replaced by flocker -equivalents.

-
-
-

The single-season rep-constant model -

-

make_flocker_data() will automatically format the data -for a rep-constant model when event_covs = NULL and the -desired model is a single-season model without data augmentation. To -take advantage of the efficiency gains and post-processing functionality -of the rep-constant model, it is necessary to supply -event_covs = NULL to make_flocker_data() at -the moment of data formatting; it is insufficient to omit event -covariates from the detection formula supplied to flock() -after formatting the data for a rep-varying model.

-
-fd_rep_constant <- make_flocker_data(
-  obs = d$obs, 
-  unit_covs = d$unit_covs
-  )
-#> Formatting data for a single-season occupancy model. For details, see make_flocker_data_static. All warnings and error messages should be interpreted in the context of make_flocker_data_static
-rep_constant <- flock(
-  f_occ = ~ uc1 + (1 + uc1 | species),
-  f_det = ~ uc1 + (1 + uc1 | species),
-  flocker_data = fd_rep_constant,
-  save_pars = save_pars(all = TRUE), # for loo with moment matching
-  silent = 2,
-  refresh = 0,
-  cores = 4
-  )
-

Note that within-chain parallelization is available (uniquely so) for -the rep-constant mode:

-
-rep_constant <- flock(
-  f_occ = ~ uc1 + (1 + uc1 | species),
-  f_det = ~ uc1 + (1 + uc1 | species),
-  flocker_data = fd_rep_constant,
-  silent = 2,
-  refresh = 0,
-  chains = 2,
-  cores = 2,
-  threads = 2
-  )
-
-
-

Multi-season models -

-

Here we provide code examples to complement the companion publication -INSERT LINK. For a more complete vignette on multi-season models in -flocker, see the multiseason -models vignette.

-

First, we simulate some data that are valid for use with multi-season -models. Here, we will simulate data for three seasons with one unit -covariate and one event covariate. The data will be simulated under a -colonization-extinction model with explicit inits, but we will be able -to fit other models (autologistic, equilibrium inits) to the same data -(note that simulate_flocker_data() can also simulate -directly from these other model types).

-
-multi_data <- simulate_flocker_data(
-  n_season = 3,
-  n_pt = 300,
-  n_sp = 1,
-  multiseason = "colex", 
-  multi_init = "explicit",
-  seed = 1
-  )
-
-fd_multi <- make_flocker_data(
-  multi_data$obs, 
-  multi_data$unit_covs, 
-  multi_data$event_covs, 
-  type = "multi",
-  quiet = TRUE
-  )
-

Below, we fit the colonization-extinction model with an explicit -model for occupancy in the first timestep. Depending on hardware, -fitting this model might take several minutes.

-
-multi_colex <- flock(
-  f_occ = ~ uc1,
-  f_det = ~ uc1 + ec1,
-  f_col = ~ uc1,
-  f_ex = ~ uc1,
-  flocker_data = fd_multi,
-  multiseason = "colex",
-  multi_init = "explicit",
-  cores = 4,
-  silent = 2,
-  refresh = 0
-)
-

Here is the colonization-extinction model using equilibrium occupancy -probabilities in the first timestep:

-
-multi_colex_eq <- flock(
-  f_det = ~ uc1 + ec1,
-  f_col = ~ uc1,
-  f_ex = ~ uc1,
-  flocker_data = fd_multi,
-  multiseason = "colex",
-  multi_init = "equilibrium",
-  cores = 4,
-  silent = 2,
-  refresh = 0
-  )
-

Here is the autologistic model with explicit occupancy probabilities -in the first timestep. To reflect the stereotypical autologistic model -with a constant logit-scale offset separating colonization and -persistence probabilities, we use the formula f_auto = ~ 1, -but it is fine to relax this constraint and use, -e.g. f_auto = ~ uc1.

-
-multi_auto <- flock(
-  f_occ = ~ uc1,
-  f_det = ~ uc1 + ec1,
-  f_col = ~ uc1,
-  f_auto = ~ 1,
-  flocker_data = fd_multi,
-  multiseason = "autologistic",
-  multi_init = "explicit",
-  cores = 4,
-  silent = 2,
-  refresh = 0
-  )
-

And the autologistic model with equilibrium occupancy probabilities -in the first timestep:

-
-multi_auto_eq <- flock(
-  f_det = ~ uc1 + ec1,
-  f_col = ~ uc1,
-  f_auto = ~ 1,
-  flocker_data = fd_multi,
-  multiseason = "autologistic",
-  multi_init = "equilibrium",
-  cores = 4,
-  silent = 2,
-  refresh = 0
-)
-
-
-

Data-augmented multi-species models -

-

Here we provide code examples to complement the companion publication -INSERT LINK. For a more complete unified vignette on data-augmented -models in flocker, see the data-augmented -models vignette.

-

Fitting the data-augmented model in flocker requires -passing the observed data as a three-dimensional array with sites along -the first dimension, visits along the second, and species along the -third. Additionally, we must supply the n_aug argument to -make_flocker_data(), specifying how many all-zero -pseudospecies to augment the data with.

-
-augmented_data <- simulate_flocker_data(
-    augmented = TRUE
-    )
-fd_augmented <- make_flocker_data(
-  augmented_data$obs, augmented_data$unit_covs, augmented_data$event_covs,
-  type = "augmented", n_aug = 100,
-  quiet = TRUE
-  )
-augmented <- flock(
-  f_occ = ~ (1 | ff_species),
-  f_det = ~ uc1 + ec1 + (1 + uc1 + ec1 | ff_species),
-  augmented = TRUE,
-  flocker_data = fd_augmented,
-  cores = 4,
-  silent = 2,
-  refresh = 0
-  )
-

Here, the random effect of species is specified using the special -grouping keyword ff_species (names beginning with -ff_ are reserved in flocker and are not -allowed as names for user-supplied covariates).

-
-
-
-

Post-processing -

-

flocker provides functions for four main types of -bespoke post-processing for occupancy models. -fitted_flocker()

-

get_Z() provides the posterior distribution for the -latent occupancy state. predict_flocker() provides -posterior predictions at the observed points (e.g. for use in posterior -predictive checking) or for new data. loo_flocker() and -loo_compare_flocker() both provide functionality for model -comparison. See below for details on all four types of post-processing. -Both posterior predictions and model comparison rely on subtle aspects -of the occupancy model likelihood that we explain in more detail in the -companion paper INSERT LINK and here.

-
-

brms-native post-processing -

-

All post-processing functions from brms work on -single-season rep-constant models, but do not work on any other model -types. For example:

-
-predictions_rep_constant <- brms::posterior_predict(rep_constant)
-loo_rep_constant <- brms::loo(rep_constant, moment_match = TRUE)
-brms::conditional_effects(rep_constant)
-

The following functions work on all model types available in -flocker.

-
-
-

Fitted values -

-

Fitted values for any of the distributional parameter (one or more of -occupancy, detection, colonization, extinction, autologistic, and/or -Omega, the fitted probability that a given (pseudo)species occurrs in -the metacommunity) are available via fitted_flocker. For -example:

-
-fitted_flocker(rep_constant)
-fitted_flocker(rep_varying)
-fitted_flocker(multi_colex)
-fitted_flocker(augmented)
-
-
-

The posterior occupancy state -

-

The function get_Z() returns the posterior distribution -of occupancy probabilities across the closure-units. The shape of the -output depends on the class of model, and is an array in the shape of -the first visit in obs as passed to -make_flocker_data, with posterior iterations stacked along -the final dimension. Thus, for a single-season rep-varying model, the -output is a matrix where rows are posterior iterations, columns are -closure-units, and values are draws from the posterior distribution of -occupancy probabilities:

-
-get_Z(rep_varying)
-

For all model types, get_Z() accepts an optional -new_data argument. Leaving the default -new_data = NULL supplies the posterior for the true -occupancy state at the locations of the data used to fit the model. -Otherwise, the posterior is computed over the new data. For -single-season models, new_data can be supplied as a -dataframe of unit covariate values or as a flocker_data -object. For multi-season models, only a flocker_data object -is allowed. Note that if predictions are desired at sites without -observations, it is acceptable to pass an array of dummy observations -(e.g. all zeros) to make_flocker_data() and then to set -history_condition = FALSE in the call to -get_Z().

-

get_Z() accepts several additional arguments that -control the way that posterior is obtained and the values returned. See -the companion paper INSERT LINK and ?get_Z for details.

-
-
-

Posterior prediction -

-

The function predict_flocker() provides posterior -predictions. By default, predictions are provided for the covariate data -to which the model were fit, but predictions to new data are also -possible via the new_data argument. The output differs by -model type. For single-season rep-constant models, the return is a -matrix where rows are iterations, columns are units, and values are the -number of detections. For single-season rep-varying models, the return -is an array whose first dimension is units, second dimension is sampling -events, third dimension is iterations, and values are 1, -0, or NA, representing detection, -nondetection, and no corresponding sampling event. For example:

-
-predict_flocker(rep_varying)
-

predict_flocker() accepts several additional arguments -that control the way that posterior is obtained and the values of -returned. See the companion paper INSERT LINK and -?predict_flocker for details.

-
-
-

Model comparison -

-

The most straightforward way to compare models fit with -flocker is the function loo_compare_flocker(). -This function takes a list of flocker_fit objects as its argument and -returns a model comparison table based on the difference in the expected -log predictive density (elpd) between models. This table is a -compare.loo object from loo::loo_compare(). -The “leave-one-out” holdouts consist of entire closure-units -(single-season models), series (multi-season models), or species -(augmented models), not single sampling events (see the companion paper -INSERT LINK and here for -details of why).

-

loo_compare_flocker() accepts as input a list of -flockerfit objects and outputs a model comparison table. -For example, we can compare the rep-constant and rep-varying models that -we fit to the same initial data. Recall that the data were simulated -with event-covariate effects on detection, and as expected the -rep-varying model performs best. Note that we ensure that these -comparisons between rep-constant and rep-varying models are valid by -omitting the binomial coefficient when computing the log-likelihood for -the rep-constant model.

-
-loo_compare_flocker(
-  list(rep_constant, rep_varying)
-)
-#> Warning: Some Pareto k diagnostic values are slightly high. See help('pareto-k-diagnostic') for details.
-
-#> Warning: Some Pareto k diagnostic values are slightly high. See help('pareto-k-diagnostic') for details.
-#>        elpd_diff se_diff
-#> model2    0.0       0.0 
-#> model1 -155.9      17.9
-

Likewise, we can compare the four flavors of multi-season model that -we fit above. Recall that the data were simulated under -colonization-extinction dynamics (rather than autologistic) and under -explicit initial occupancy probabilities (rather than equilibrium). As -expected, the multi_colex model performs best:

-
-loo_compare_flocker(
-  list(multi_colex, multi_colex_eq, multi_auto, multi_auto_eq)
-)
-#>        elpd_diff se_diff
-#> model1   0.0       0.0  
-#> model2 -17.1       5.9  
-#> model3 -53.2      10.1  
-#> model4 -65.0      10.3
-

Flocker also provides the function loo_flocker() to -return a table of elpd_loo, p_loo, and -looic estimates from loo::loo() or -brms::loo() (the latter for single-season rep-constant -models only).

-
-
-
-

-brms tips and tricks -

-

Mastering advanced occupancy modeling via flocker is -mostly a matter of mastering the syntax available in brms. -Here are some useful pieces of syntax:

-
-

Priors -

-

Priors can be implemented as they would with any brms -model. Priors can be specified using set_prior(), with -priors specified for groups of parameters (via class) or -individual parameters (via coef). The priors used for a -particular model can be retrieved using -brms::prior_summary(), and the names of the parameters and -their default priors can be displayed prior to model fitting using -get_flocker_prior() which is a drop-in replacement for -brms::get_prior().

-
-get_flocker_prior(
-  f_occ = ~ uc1 + (1 + uc1 | species),
-  f_det = ~ uc1 + ec1 + (1 + uc1 + ec1 | species),
-  flocker_data = fd_rep_varying
-  )
-#>                 prior     class      coef   group resp dpar nlpar lb ub
-#>                (flat)         b                                        
-#>                (flat)         b       ec1                              
-#>                (flat)         b       uc1                              
-#>                lkj(1)       cor                                        
-#>                lkj(1)       cor           species                      
-#>  student_t(3, 0, 2.5) Intercept                                        
-#>  student_t(3, 0, 2.5)        sd                                    0   
-#>  student_t(3, 0, 2.5)        sd           species                  0   
-#>  student_t(3, 0, 2.5)        sd       ec1 species                  0   
-#>  student_t(3, 0, 2.5)        sd Intercept species                  0   
-#>  student_t(3, 0, 2.5)        sd       uc1 species                  0   
-#>                (flat)         b                         occ            
-#>                (flat)         b       uc1               occ            
-#>                (flat) Intercept                         occ            
-#>  student_t(3, 0, 2.5)        sd                         occ        0   
-#>  student_t(3, 0, 2.5)        sd           species       occ        0   
-#>  student_t(3, 0, 2.5)        sd Intercept species       occ        0   
-#>  student_t(3, 0, 2.5)        sd       uc1 species       occ        0   
-#>        source
-#>       default
-#>  (vectorized)
-#>  (vectorized)
-#>       default
-#>  (vectorized)
-#>       default
-#>       default
-#>  (vectorized)
-#>  (vectorized)
-#>  (vectorized)
-#>  (vectorized)
-#>       default
-#>  (vectorized)
-#>       default
-#>       default
-#>  (vectorized)
-#>  (vectorized)
-#>  (vectorized)
-brms::prior_summary(rep_varying)
-#>                 prior     class      coef   group resp dpar nlpar lb ub
-#>                (flat)         b                                        
-#>                (flat)         b       ec1                              
-#>                (flat)         b       uc1                              
-#>                (flat)         b                         occ            
-#>                (flat)         b       uc1               occ            
-#>  student_t(3, 0, 2.5) Intercept                                        
-#>                (flat) Intercept                         occ            
-#>  lkj_corr_cholesky(1)         L                                        
-#>  lkj_corr_cholesky(1)         L           species                      
-#>  student_t(3, 0, 2.5)        sd                                    0   
-#>  student_t(3, 0, 2.5)        sd                         occ        0   
-#>  student_t(3, 0, 2.5)        sd           species                  0   
-#>  student_t(3, 0, 2.5)        sd       ec1 species                  0   
-#>  student_t(3, 0, 2.5)        sd Intercept species                  0   
-#>  student_t(3, 0, 2.5)        sd       uc1 species                  0   
-#>  student_t(3, 0, 2.5)        sd           species       occ        0   
-#>  student_t(3, 0, 2.5)        sd Intercept species       occ        0   
-#>  student_t(3, 0, 2.5)        sd       uc1 species       occ        0   
-#>        source
-#>       default
-#>  (vectorized)
-#>  (vectorized)
-#>       default
-#>  (vectorized)
-#>       default
-#>       default
-#>       default
-#>  (vectorized)
-#>       default
-#>       default
-#>  (vectorized)
-#>  (vectorized)
-#>  (vectorized)
-#>  (vectorized)
-#>  (vectorized)
-#>  (vectorized)
-#>  (vectorized)
-

Note that if there are parameters shared between both the occupancy -and detection model formulas, e.g. 

-
-get_flocker_prior(
-  f_occ = ~ uc1 + (1|species), 
-  f_det = ~ uc1 + ec2 + (1|species), 
-  flocker_data = fd_rep_varying
-  )
-

then there will be two entries for each of the shared parameters in -the prior table (uc1 in this example). Specifying a priors -for parameters in formulas other than detection can be done with -reference to the dpar column, e.g.:

-
-user_prior <- c(brms::set_prior("normal(0, 1)", coef = "uc1"), 
-                brms::set_prior("normal(0, 3)", coef = "uc1", dpar = "occ"))
-

where the uc1 parameter in the occupancy component is -specified by the addition of the dpar argument, and the -uc1 parameter in the detection component is specified -without reference to dpar.

-

For more on priors in brms, see -?brms::set_prior.

-

Users should understand the implications of the default -brms behavior to internally center the design matrix, which -affects the prior on the intercept gets set (see -?brms::set_prior). Here is an example, based on a -single-season rep-varying model, wherein we set a logistic prior on the -value of the intercepts (flat on the probability scale) when all -predictors are held at their means and a moderately regularizing prior -on the coefficients:

-
-rep_varying_prior1 <- flock(
-  f_occ = ~ uc1,
-  f_det = ~ ec1,
-  flocker_data = fd_rep_varying,
-  prior = 
-    brms::set_prior("logistic(0,1)", class = "Intercept") +
-    brms::set_prior("logistic(0,1)", class = "Intercept", dpar = "occ") +
-    brms::set_prior("normal(0,2)", class = "b") +
-    brms::set_prior("normal(0,2)", class = "b", dpar = "occ"),
-  cores = 4,
-  silent = 2,
-  refresh = 0
-  )
-brms::prior_summary(rep_varying_prior1)
-#>          prior     class coef group resp dpar nlpar lb ub       source
-#>    normal(0,2)         b                                          user
-#>    normal(0,2)         b  ec1                             (vectorized)
-#>    normal(0,2)         b                  occ                     user
-#>    normal(0,2)         b  uc1             occ             (vectorized)
-#>  logistic(0,1) Intercept                                          user
-#>  logistic(0,1) Intercept                  occ                     user
-

Here is an example where we set informative priors on the intercepts -when all covariates are fixed to zero and the same moderately -regularizing prior on the coefficients:

-
-rep_varying_prior2 <- flock(
-  f_occ = ~ 0 + Intercept + uc1,
-  f_det = ~ 0 + Intercept + ec1,
-  flocker_data = fd_rep_varying,
-  prior = 
-    brms::set_prior("normal(0,2)", class = "b") +
-    brms::set_prior("normal(0,2)", class = "b", dpar = "occ") +
-    brms::set_prior("normal(1, 1)", class = "b", coef = "Intercept") +
-    brms::set_prior("normal(-1, 1)", class = "b", coef = "Intercept", dpar = "occ"),
-  cores = 4,
-  silent = 2,
-  refresh = 0
-  )
-brms::prior_summary(rep_varying_prior2)
-#>          prior class      coef group resp dpar nlpar lb ub       source
-#>    normal(0,2)     b                                               user
-#>    normal(0,2)     b       ec1                             (vectorized)
-#>   normal(1, 1)     b Intercept                                     user
-#>    normal(0,2)     b                       occ                     user
-#>  normal(-1, 1)     b Intercept             occ                     user
-#>    normal(0,2)     b       uc1             occ             (vectorized)
-
-
-

Model formulas -

-

Simple formulas follow the same syntax as R’s lm() -function. For example:

-
-mod1 <- flock(
-  f_occ = ~ uc1 + (1|species), 
-  f_det = ~ 1, 
-  flocker_data = fd_rep_constant
-  )
-
-
-

Random effects -

-

Simple random effects follow lme4 syntax, including -advanced lme4 syntax like || for uncorrelated -effects and / and : for expansion of multiple -grouping terms. Here’s a simple example:

-
-mod2 <- flock(
-  f_occ = ~ uc1 + (1|species), 
-  f_det = ~ 1, 
-  flocker_data = fd_rep_constant
-  )
-

When a model includes multiple random effects with the same grouping -term, by default they are modeled as correlated within the -occupancy or detection formulas, but as uncorrelated between -formulas. For example, the code below estimates a single correlation for -the intercept and slope in the occupancy sub-model.

-
-mod3 <- flock(
-  f_occ = ~ uc1 + (1 + uc1 | species), 
-  f_det = ~ ec1 + (1 | species), 
-  flocker_data = fd_rep_varying
-  )
-

However, this assumption can easily be relaxed using the -|<ID>| syntax from brms. The -<ID> is an arbitrary character string representing a -group of terms to model as correlated. The below code, for example, -models correlated intercepts in the occupancy and detection sub-models, -and correlated effects of sc1 on occupancy and -vc1 on detection, but no correlations between the -intercepts and the slopes in either sub-model:

-
-mod4 <- flock(
-  f_occ = ~ uc1 + (1 |g1| species) + (0 + uc1 |g2| species), 
-  f_det = ~ ec1 + (1 |g1| species) + (0 + ec1 |g2| species), 
-  flocker_data = fd_rep_varying
-  )
-

For more on brms syntax for random effects syntax, see -the documentation -here.

-
-
-

Nonlinear models -

-

Via brms, flocker supports Gaussian -processes of arbitrary dimensionality (brms::gp()) as well -as mgcv syntax for thin-plate regression splines -(brms::s()) and tensor product smooths -(brms::t2()), and brms syntax for monotonic -effects of ordinal factors via brms::mo() (see -here). For example:

-
-mod5 <- flock(
-  f_occ = ~ s(uc1), 
-  f_det = ~ t2(uc1, ec1), 
-  flocker_data = fd_rep_varying
-  )
-
-mod6 <- flock(
-  f_occ = ~ 1, 
-  f_det = ~ gp(uc1, ec1), 
-  flocker_data = fd_rep_varying
-  )
-

In addition, brms provides the ability to estimate -models wherein the predictors (e.g. for occupancy and detection) are -parametric nonlinear functions whose parameters have their own -covariate-based linear predictors. For more details and an example, see -the nonlinear -models vignette.

-
-
-

Phylogenetic models -

-

Phylogenetic effects can be included by providing a covariance matrix -as a data2 argument and using the brms::gr() -function to link species identities in flocker_data with -the supplied covariance matrix. Note that phylogenetic effects can be -included in either the occupancy component, the detection component, or -both! In our experience, it can be computationally tractable to include -multiple phylogenetic effects within a single occupancy model (see Mills et al. 2022).

-
-# simulate an example phylogeny
-phylogeny <- ape::rtree(30, tip.label = paste0("sp_", 1:30))
-
-# calculate covariance matrix
-A <- ape::vcv.phylo(phylogeny)
-
-mod8 <- flock(
-  f_occ = ~ 1 + (1|gr(species, cov = A)), 
-  f_det = ~  1 + ec1 + (1|species), 
-  flocker_data = fd_rep_varying, 
-  data2 = list(A = A)
-  )
-
-mod9 <- flock(
-  f_occ = ~ 1 + (1|gr(species, cov = A)), 
-  f_det = ~  1 + ec1 + (1|gr(species, cov = A)), 
-  flocker_data = fd_rep_varying, 
-  data2 = list(A = A)
-  )
-

See -here for further details about specifying phylogenetic effects in -brms.

-
-
-

Spatial and autoregressive structures -

-

In addition to spatial Gaussian processes, brms provides -a variety of autoregressive structures, both one-dimensional (see -brms::ar(), brms::arma()) and two-dimensional -(see brms::car(), brms::sar(). See -here for details about conditional autoregressive (CAR) models in -brms, and note that flock() accepts a -data2 argument that it can pass to brms as -necessary.

-

Our principle caution for users is that these autoregressive -structures might lead to degenerate models when applied at the visit -level (in detection formulas) or at the closure-unit level (in -occupancy, colonization, extinction, or autologistic formulas) because -observation-level random effects are often degenerate in regressions -with Bernoulli responses. Thus we recommend applying autoregressive -terms to groupings of multiple visits (detection formula) or multiple -closure-units (other formulas). However, we note that -flocker does provide a well-identified -one-dimensional first-order autoregressive structure for occupancy -across closure-units in a single-season model. This is achieved by -co-opting the autologistic parameterization of the multi-season model -and applying it instead to closure-units arranged along a -one-dimensional spatial transect, yielding a one-dimensional analog of a -spatial autologistic occupancy model.

-

A second caution is to remind users that in multi-species models, -users will likely want to fit separate spatial terms by species (Doser -et al 2022). For Gaussian processes, this can be achieved via the -by argument to brms::gp(). For some -conditional autoregressive structures (those that allow disconnected -islands), this can be achieved by passing a block-diagonal adjacency -matrix wherein species are disconnected components.

-

We note that gaussian process priors for spatially varying -coefficients are readily achieved via the nonlinear formula syntax of -brms. For more details and an example, see the nonlinear -models vignette.

-
-
-

Measurement error in covariates -

-

See -here for relevant brms documentation.

-
-
-
-

Additional fitting arguments -

-

flock will pass any relevant parameters forward to -brms::brm(), giving the user important control over the -algorithmic details of how the model is fit. See ?brms::brm -for details. To speed up the execution, we recommend supplying the -argument backend = "cmdstanr". This requires the cmdstanr -package and a working installation of cmdstan; see here for instructions to -get started and further details.

-
-
- - - -
- - - - -
- - - - - - - - diff --git a/docs/articles/index.html b/docs/articles/index.html deleted file mode 100644 index 089f363..0000000 --- a/docs/articles/index.html +++ /dev/null @@ -1,98 +0,0 @@ - -Articles • flocker - - -
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- - - -
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- - -
- - - - - - - - diff --git a/docs/articles/multiseason_models.html b/docs/articles/multiseason_models.html deleted file mode 100644 index 4263d10..0000000 --- a/docs/articles/multiseason_models.html +++ /dev/null @@ -1,390 +0,0 @@ - - - - - - - -Multiseason models in flocker • flocker - - - - - - - - - - - - -
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- - - - -
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- - - - -

-

Multiseason occupancy models, also called dynamic occupancy models, -are models that assume closure over -units that are linked by explicit colonization and extinction -processes.1 That is, sites are surveyed over a series -of more than one timestep,2 closure is assumed to hold within (but not -across) timesteps, and the latent occupancy state is linked across -timesteps within a site via models of local colonization and extinction -processes. Following the terminology introduced here, -we will refer to the units over which closure is assumed as -closure-units or just plain units. Groups of units -that are linked by colonization-extinction dynamics (i.e. units -representing different timesteps within a site) are series.

-
-

Multiseason models as HMMs -

-

In flocker, we implement these models using a hidden -markov model (HMM) approach to dealing with the unobserved occupancy -state in each separate series. Calling our approach a HMM doesn’t -fundamentally change the model; it serves mainly to highlight the -connection between multiseason occupancy models and well-developed -techniques for efficiently computing the likelihood for a series.3 The HMM -conceptualizes the latent occupancy state as a Markov-like process (the -process need not be strictly Markovian, because the transition -probabilities can vary by timestep), where the transition probabilities -between the two possible states (occupied or unoccupied) are a -colonization probabilility \(\mathcal{C}\), an extinction probability -\(\mathcal{E}\), and their complements -\(1 - \mathcal{C}\) and \(1 - \mathcal{E}\). The complement of the -extinction probability turns out to be particularly important; we call -it the persistence probability \(\mathcal{P} = 1 - \mathcal{E}\).

-

To specify the HMM, we need a model for the \(\mathcal{C}\), a model for \(\mathcal{E}\), and a model for the initial -occupancy probability \(\mathcal{O}\) -in the first timestep. We also need a model for the probability of -observing the data in any particular timestep conditional on the true -occupancy state in that timestep (in the HMM literature, this -probability is referred to as an emission probability).

-
-

Emission probabilities -

-

Emission probabilities are just fancy HMM terminology for -the most familiar part of multiseason occupancy model. They are the -probability of observing the data within a unit given the latent -occupancy state, and they depend only on the detection sub-model, which -is no different from a single-season detection sub-model. In -flocker, we assume that the logit-scale detection -probabilities vary according to a suite of covariates that can vary -across all levels of organization, including down to the visit level. -This is exactly the same way that flocker treats the -detection sub-model in a single-season model.

-
-
-

Colonization and extinction -

-

In “colonization-extinction” models, logit colonization probabilities -\(\mathcal{C}\) and logit extinction -probabilities \(\mathcal{E}\) are both -assumed to vary according to separate predictors based on covariates -that may vary across timesteps within series but never across visits -within closure-units.

-

In “autologistic” models, the occupancy probability in timestep \(t + 1\) is assumed to depend on a suite of -site characteristics plus a term that depends on the latent true -occupancy state at time \(t\). Some -treatments write the autologistic model in terms of an “occupancy -probability” that depends on covariates plus the “autologistic term” -that gets added on the logit scale when the site was previously -occupied. However, it is easier to understand this model in terms of its -colonization and extinction probabilities. In fact, the so-called -“occupancy probability” mentioned above is actually a colonization -probability, because it reflects the probability of occupancy -conditional on non-occupancy during the previous timestep. The -logit-scale sum of the colonization probability and the autologistic -term gives the probability of persistence \(\mathcal{P}\).

-

Thus, the autologistic model differs from the colonization-extinction -model in that it assumes that colonization and extinction probabilities -are related to one another via an offset that relates colonization to -persistence. If the offset is modeled as constant, then we can think of -this model as ascribing a “suitability” to each site that defines the -position of a pair of probabilities \(\mathcal{C}\) and \(\mathcal{P}\) that differ by a constant on -the logit scale. In practice, \(\mathcal{P}\) is almost always larger than -\(\mathcal{C}\), and so the offset is -positive.

-

In addition to the standard autologistic model that treats the offset -as a constant, flocker also affords the flexibility to -model the offset via its own covariate-based predictor, which -reintroduces flexibility in the relationship between \(\mathcal{P}\) and \(\mathcal{C}\), but tends to retain the idea -that these probabilities ought to be related to one another and ought to -tend to move in tandem.

-
-
-

Initial occupancy -

-

Most examples of multiseason occupancy models in the literature -include an explicit model for the initial occupancy probability \(\mathcal{O}\) via its own covariate-based -predictor, which is analogous to the occupancy predictor in a -single-season model. Thus, a colonization-extinction model would contain -predictors for detection, colonization, extinction, and initial -occupancy; an autologistic model would contain linear predictors for -detection, colonization, the colonization-persistence offset (often -modeled as a constant), and initial occupancy. flocker can -fit either model.

-

Borrowing from the HMM literature, flocker also comes -with optional functionality to handle \(\mathcal{O}\) differently. Any pair of -time-invariant colonization and extinction probabilities defines an -equilibrium proportion of sites that are occupied. If colonization and -extinction remain constant for a long time prior to the first timestep, -the initial occupancy probability should simply be this equilibrium -frequency, eliminating the need to parameterize and fit initial -occupancy separately from colonization and extinction. -flocker is equipped to fit models without any separate -predictor for initial occupancy, and instead to begin with the -equilibrium frequencies implied by the coloniziation and extinction -probabilities modeled for the first timestep. Note that this approach is -sometimes valid even if the colonization and extinction probabilities -begin to vary during the timeseries being modeled, as long as they are -invariant for a substantial period up to and including the first year -modeled. As a concrete example, consider a study system that begins in -an equilibrium condition, but in which some sites burn in a forest fire -partway through the study. If the impact of the burn on colonization and -extinction probabilities is modeled adequately, then the modeled -probabilites prior to the burn will reflect the equilibrium colonization -and extinction probabilities in the pre-burn state. It is for this -reason that, when using equilibrium frequencies as initial occupancy -probabilities, flocker always computes the equilibrium -based on the probabilites modeled for the first timestep.

-

As an aside, we somewhat regularly encounter confusion that conflates -initial occupancy probabilities \(\mathcal{O}\) with colonization -probabilities \(\mathcal{C}\). This -confusion apparently arises from the notion that the autologistic model -consists of a single-season occupancy model plus an autologistic term, -which leads people to incorrectly surmise that the linear predictor -without the autologistic term gives an occupancy probability. It does -not; it gives a colonization probability, which is typically much lower. -Any modeling exercise that enforces equality between initial occupancy -probabilities and subsequent colonization probabilities should be viewed -skeptically.

-
-
-
-

Examples -

-

Let’s simulate some data that is valid for use with multiseason -models. Here, we will simulate data for three seasons with one unit -covariate and one event covariate. The data will be simulated under a -colonization-extinction model with explicit inits, but we will be able -to fit other models (autologistic, equilibrium inits) to the same -data.4

-
-library(flocker)
-multi_data <- simulate_flocker_data(
-  n_season = 3,
-  n_pt = 300,
-  n_sp = 1,
-  multiseason = "colex", 
-  multi_init = "explicit",
-  seed = 1
-  )
-
-fd <- make_flocker_data(
-  multi_data$obs, 
-  multi_data$unit_covs, 
-  multi_data$event_covs, 
-  type = "multi",
-  quiet = TRUE
-  )
-

Here’s the colonization-extinction model with an explicit model for -occupancy in the first timestep. Depending on hardware, fitting this -model might take 1-5 minutes.

-
-multi_colex <- flock(
-  f_occ = ~ uc1,
-  f_det = ~ uc1 + ec1,
-  f_col = ~ uc1,
-  f_ex = ~ uc1,
-  flocker_data = fd,
-  multiseason = "colex",
-  multi_init = "explicit",
-  backend = "cmdstanr",
-  cores = 4
-)
-

Here’s the colonization-extinction model using equilibrium occupancy -probabilities in the first timestep:

-
-multi_colex_eq <- flock(
-  f_det = ~ uc1 + ec1,
-  f_col = ~ uc1,
-  f_ex = ~ uc1,
-  flocker_data = fd,
-  multiseason = "colex",
-  multi_init = "equilibrium",
-  backend = "cmdstanr",
-  cores = 4
-)
-

Here’s the autologistic model with explicit occupancy probabilities -in the first timestep. To reflect the stereotypical autologistic model -with a constant logit-scale offset separating colonization and -persistence probabilities, we use the formula f_auto = ~ 1, -but it is fine to relax this constraint and use, -e.g. f_auto = ~ uc1.

-
-multi_auto <- flock(
-  f_occ = ~ uc1,
-  f_det = ~ uc1 + ec1,
-  f_col = ~ uc1,
-  f_auto = ~ 1,
-  flocker_data = fd,
-  multiseason = "autologistic",
-  multi_init = "explicit",
-  backend = "cmdstanr",
-  cores = 4
-)
-

And finally the autologistic model with equilibrium occupancy -probabilities in the first timestep:

-
-multi_auto_eq <- flock(
-  f_det = ~ uc1 + ec1,
-  f_col = ~ uc1,
-  f_auto = ~ 1,
-  flocker_data = fd,
-  multiseason = "autologistic",
-  multi_init = "equilibrium",
-  backend = "cmdstanr",
-  cores = 4
-)
-

We can reconstruct the occupancy probabilities at every unit using -the get_Z function:

-
-Z <- get_Z(multi_colex_eq)
-

We can generate posterior predictions:

-
-pp <- predict_flocker(multi_colex_eq)
-

We can compare the fit of these various models using approximate -leave-one-out cross-validation, where the holdouts consist of entire -series (leave-one-series-out cross-validation).

-
-loo_out <- loo_compare_flocker(
-  list(multi_colex, multi_colex_eq, multi_auto, multi_auto_eq)
-)
-loo_out
-

See the main tutorial vignette for an example of the resulting output -(this vignette does not actual run the models to save on compuational -resources.)

-
-
-
-
    -
  1. As we will see, this is true even of multiseason models -with autologistic occupancy dynamics↩︎

  2. -
  3. It’s fine if some sites are surveyed for just one -timestep, but at least some sites are surveyed for multiple timesteps.↩︎

  4. -
  5. For the curious, we use the forward algorithm to compute -the likelihood, and the forward-backward algorithm to compute unit-wise -posterior distributions for the latent occupancy state, and the -forward-filtering-backward-sampling algorithm to draw valid posterior -samples for the sequence of latent states↩︎

  6. -
  7. note that simulate_flocker_data() can also -simulate directly from these other model types.↩︎

  8. -
-
-
- - - -
- - - - -
- - - - - - - - diff --git a/docs/articles/nonlinear_models.html b/docs/articles/nonlinear_models.html deleted file mode 100644 index 99decac..0000000 --- a/docs/articles/nonlinear_models.html +++ /dev/null @@ -1,374 +0,0 @@ - - - - - - - -Nonlinear models in flocker • flocker - - - - - - - - - - - - -
-
- - - - -
-
- - - - -

-

Here we show how we can use flocker to fit nonlinear -occupancy models via brms. In most occupancy models, -occupancy and detection probabilties are modeled as logit-linear -combinations of covariates. In some models (e.g. those with splines or -Gaussian processes), probabilities are modeled as the sum of more -flexibile functions of covariates. These are straightforward to fit in -flocker using the brms functions -s(), t2(), and gp(); see the flocker -tutorial vignette for details.

-

This vignette focuses on more complicated nonlinear models that -require the use of special nonlinear brms formulas. We -showcase two models. The first fits a parameteric nonlinear predictor. -The second fits a model with a spatially varying coefficient that is -given a gaussian process prior.

-
-

Parameteric nonlinear predictor -

-

In this scenario, we consider a model where the response is a -specific nonlinear parametric function whose parameters are fitted and -might or might not depend on covariates. Suppose for example that an -expanding population of a territorial species undergoes logistic growth, -and also that some unknown proportion of territories are unsuitable due -to an unobserved factor, such that occupancy asymptotes at some -probability less than one. Thus, occupancy probability changes through -time as \(\frac{L}{1 + -e^{-k(t-t_0)}}\), where \(L\) is -the asymptote, \(k\) is a growth rate, -\(t\) is time, and \(t_0\) is the timing of the inflection -point. At multiple discrete times, we randomly sample several sites to -survey, and survey each of those sites over several repeat visits.

-
-library(flocker); library(brms)
-set.seed(3)
-
-L <- 0.5
-k <- .1
-t0 <- -5
-t <- seq(-15, 15, 1)
-n_site_per_time <- 30
-n_visit <- 3
-det_prob <- .3
-
-data <- data.frame(
-  t = rep(t, n_site_per_time)
-)
-
-data$psi <- L/(1 + exp(-k*(t - t0)))
-data$Z <- rbinom(nrow(data), 1, data$psi)
-data$v1 <- data$Z * rbinom(nrow(data), 1, det_prob)
-data$v2 <- data$Z * rbinom(nrow(data), 1, det_prob)
-data$v3 <- data$Z * rbinom(nrow(data), 1, det_prob)
-
-fd <- make_flocker_data(
-  obs = as.matrix(data[,c("v1", "v2", "v3")]),
-  unit_covs = data.frame(t = data[,c("t")]),
-  event_covs <- list(dummy = matrix(rnorm(n_visit*nrow(data)), ncol = 3))
-)
-

We wish to fit an occupancy model that recovers the unknown -parameters \(L\), \(k\), and \(t_0\). We can achieve this using the -nonlinear formula syntax provided by brms via -flocker.

-

flocker will always assume that the occupancy formula is -provided on the logit scale. Thus, we need to convert our nonlinear -function giving the occupancy probability to a function giving the logit -occupancy probability. A bit of simplification via Wolfram Alpha and we -arrive at \(\log(\frac{L}{1 + e^{-k(t - t_0)} -- L})\). We then write a brms formula representing -occupancy via this function. To specify a formula wherein a -distributional parameter (occ in this case, referring to -occupancy) is nonlinear we need to use brms::set_nl() -rather than merely providing the nl = TRUE argument to -brms::bf().

-

flocker’s main fitting function flock() -accepts brmsformula inputs to its f_det -argument. When supplying a brmsformula to -f_det (rather than the typical one-sided detection -formula), the following behaviors are triggered:

-
    -
  • Several input checks are turned off. For example, -flocker no longer checks to ensure that event covariates -are absent from the occupancy formula. flocker also no -longer explicitly checks that formulas are provided for all of the -required distributional terms for a given family (detection, occupancy, -colonization, extinction, and autologistic terms, depending on the -family).

  • -
  • All inputs to f_occ, f_col, -f_ex, f_auto are silently ignored. It is -obligatory to pass the entire formula for all distributional parameters -as a single brmsformula object. This means in turn that the -user must be familiar with flocker’s internal naming -conventions for all of the relevant distributional parameters -(det and one or more of occ, -colo, ex, autologistic, -Omega). If fitting a data-augmented model, it will be -requried to pass the Omega ~ 1 formula within the -brmsformula (When passing the traditional one-sided formula -to f_det, flocker includes the formula for -Omega internally and automatically).

  • -
  • Nonlinear formulas that involve data that are required to be -positive might fail! Internally, some irrelevant data positions get -filled with -99, but these positions might still get -evaluated by the nonlinear formula, even though they make no -contribution to the likelihood.

  • -
-

With all of that said, we can go ahead and fit this model!

-
-fit <- flock(f_det = brms::bf(
-                 det ~ 1 + dummy,
-                 occ ~ log(L/(1 + exp(-k*(t - t0)) - L)),
-                 L ~ 1,
-                 k ~ 1,
-                 t0 ~ 1
-               ) +
-               brms::set_nl(dpar = "occ"),
-             prior = 
-               c(
-                 prior(normal(0, 5), nlpar = "t0"),
-                 prior(normal(0, 1), nlpar = "k"), 
-                 prior(beta(1, 1), nlpar = "L", lb = 0, ub = 1)
-                ),
-             flocker_data = fd, 
-             control = list(adapt_delta = 0.9),
-             cores = 4)
-
-summary(fit)
-#>  Family: occupancy_single 
-#>   Links: mu = identity; occ = identity 
-#> Formula: ff_y | vint(ff_n_unit, ff_n_rep, ff_Q, ff_rep_index1, ff_rep_index2, ff_rep_index3) ~ 1 + dummy 
-#>          occ ~ log(L/(1 + exp(-k * (t - t0)) - L))
-#>          L ~ 1
-#>          k ~ 1
-#>          t0 ~ 1
-#>    Data: data (Number of observations: 2790) 
-#>   Draws: 4 chains, each with iter = 2000; warmup = 1000; thin = 1;
-#>          total post-warmup draws = 4000
-#> 
-#> Population-Level Effects: 
-#>              Estimate Est.Error l-95% CI u-95% CI Rhat Bulk_ESS Tail_ESS
-#> Intercept       -0.90      0.13    -1.17    -0.66 1.00     2455     2297
-#> L_Intercept      0.51      0.10     0.37     0.75 1.00     1249     1281
-#> k_Intercept      0.19      0.08     0.07     0.38 1.00     1176     1905
-#> t0_Intercept    -5.82      3.51   -10.60     3.12 1.00     1170     1384
-#> dummy           -0.00      0.08    -0.15     0.14 1.00     2794     2315
-#> 
-#> Draws were sampled using sampling(NUTS). For each parameter, Bulk_ESS
-#> and Tail_ESS are effective sample size measures, and Rhat is the potential
-#> scale reduction factor on split chains (at convergence, Rhat = 1).
-

It works!

-

Note that if desired, we could fit more complicated formulas than -~ 1 for any of the nonlinear parameters. For more see the -brms -nonlinear model vignette.

-
-
-

Spatially varying coefficients via a Gaussian process -

-

The gp() function in brms includes a -Gaussian process of arbitary dimension in the linear predictor. We can -use the nonlinear formula syntax to tell brms to include a -Gaussian process prior on a coefficient as well.

-

First we simulate some data wherein the logit of the occupancy -probability depends on a covariate, and the slope of the dependency is -modeled via a two-dimensional spatial Gaussian process:

-
-set.seed(1)
-n <- 2000 # sample size
-lscale <- 0.3 # square root of l of the gaussian kernel
-sigma_gp <- 1 # sigma of the gaussian kernel
-intercept <- 0 # occupancy logit-intercept
-det_intercept <- -1 # detection logit-intercept
-n_visit <- 4
-
-# covariate data for the model
-gp_data <- data.frame(
-  x = rnorm(n), 
-  y = rnorm(n),
-  covariate = rnorm(n)
-  )
-
-# get distance matrix
-dist.mat <- as.matrix(
-  stats::dist(gp_data[,c("x", "y")])
-  )
-
-# get covariance matrix
-cov.mat <- sigma_gp^2 * exp(- (dist.mat^2)/(2*lscale^2))
-
-# simulate occupancy data
-gp_data$coef <- mgcv::rmvn(1, rep(0, n), cov.mat)
-gp_data$lp <- intercept + gp_data$coef * gp_data$covariate
-gp_data$psi <- boot::inv.logit(gp_data$lp)
-gp_data$Z <- rbinom(n, 1, gp_data$psi)
-
-# simulate visit data
-obs <- matrix(nrow = n, ncol = n_visit)
-for(j in 1:n_visit){
-  obs[,j] <- gp_data$Z * rbinom(n, 1, boot::inv.logit(det_intercept))
-}
-

And here’s how we can fit this model in flocker! It -turns out that we need quite a lot of data points to constrain the -standard deviation of the Gaussian process, and so we use a Hilbert -space approximate Gaussian process for computational efficiency.

-
-fd2 <- make_flocker_data(obs = obs, unit_covs = gp_data[, c("x", "y", "covariate")])
-svc_mod <- flock(
-  f_det = brms::bf(
-                 det ~ 1,
-                 occ ~ occint + g * covariate,
-                 occint ~ 1,
-                 g ~ 0 + gp(x, y, scale = FALSE, k = 20, c = 1.25)
-               ) +
-               brms::set_nl(dpar = "occ"),
-  flocker_data = fd2,
-  cores = 4
-)
-
-summary(svc_mod)
-#>  Family: occupancy_single_C 
-#>   Links: mu = identity; occ = identity 
-#> Formula: ff_n_suc | vint(ff_n_trial) ~ 1 
-#>          occ ~ occint + g * covariate
-#>          occint ~ 1
-#>          g ~ 0 + gp(x, y, scale = FALSE, k = 20, c = 1.25)
-#>    Data: data (Number of observations: 2000) 
-#>   Draws: 4 chains, each with iter = 2000; warmup = 1000; thin = 1;
-#>          total post-warmup draws = 4000
-#> 
-#> Gaussian Process Terms: 
-#>                Estimate Est.Error l-95% CI u-95% CI Rhat Bulk_ESS Tail_ESS
-#> sdgp(g_gpxy)       1.63      0.75     0.71     3.59 1.00     2822     3271
-#> lscale(g_gpxy)     0.23      0.11     0.08     0.49 1.00     3879     3383
-#> 
-#> Population-Level Effects: 
-#>                  Estimate Est.Error l-95% CI u-95% CI Rhat Bulk_ESS Tail_ESS
-#> Intercept           -1.04      0.06    -1.15    -0.93 1.00     5341     3409
-#> occint_Intercept     0.09      0.09    -0.08     0.27 1.00     5737     3330
-#> 
-#> Draws were sampled using sampling(NUTS). For each parameter, Bulk_ESS
-#> and Tail_ESS are effective sample size measures, and Rhat is the potential
-#> scale reduction factor on split chains (at convergence, Rhat = 1).
-

Again, it worked!

-
-
- - - -
- - - - -
- - - - - - - - diff --git a/docs/authors.html b/docs/authors.html deleted file mode 100644 index 2ab6c0a..0000000 --- a/docs/authors.html +++ /dev/null @@ -1,122 +0,0 @@ - -Authors and Citation • flocker - - -
-
- - - -
-
-
- - - -
  • -

    Jacob B. Socolar. Author, maintainer. -

    -
  • -
  • -

    Simon C. Mills. Author. -

    -
  • -
  • -

    Paul-Christian Bürkner. Contributor. -

    -
  • -
-
-
-

Citation

- Source: DESCRIPTION -
-
- - -

Socolar J, Mills S (2023). -flocker: Flexible Occupancy Estimation in R. -R package version 0.2-0, https://github.com/jsocolar/flocker. -

-
@Manual{,
-  title = {flocker: Flexible Occupancy Estimation in R},
-  author = {Jacob B. Socolar and Simon C. Mills},
-  year = {2023},
-  note = {R package version 0.2-0},
-  url = {https://github.com/jsocolar/flocker},
-}
- -
- -
- - - -
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- } // else use the current $context - - $context.append($newNav); - - $prevNav = $newNav; - }); - }, - - parseOps: function(arg) { - var opts; - if (arg.jquery) { - opts = { - $nav: arg - }; - } else { - opts = arg; - } - opts.$scope = opts.$scope || $(document.body); - return opts; - } - }, - - // accepts a jQuery object, or an options object - init: function(opts) { - opts = this.helpers.parseOps(opts); - - // ensure that the data attribute is in place for styling - opts.$nav.attr('data-toggle', 'toc'); - - var $topContext = this.helpers.createChildNavList(opts.$nav); - var topLevel = this.helpers.getTopLevel(opts.$scope); - var $headings = this.helpers.getHeadings(opts.$scope, topLevel); - this.helpers.populateNav($topContext, topLevel, $headings); - } - }; - - $(function() { - $('nav[data-toggle="toc"]').each(function(i, el) { - var $nav = $(el); - Toc.init($nav); - }); - }); -})(); diff --git a/docs/docsearch.css b/docs/docsearch.css deleted file mode 100644 index e5f1fe1..0000000 --- a/docs/docsearch.css +++ /dev/null @@ -1,148 +0,0 @@ -/* Docsearch -------------------------------------------------------------- */ -/* - Source: https://github.com/algolia/docsearch/ - License: MIT -*/ - -.algolia-autocomplete { - display: block; 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- $("#search-input").focus(); - } - }); - - $(document).ready(function() { - // do keyword highlighting - /* modified from https://jsfiddle.net/julmot/bL6bb5oo/ */ - var mark = function() { - - var referrer = document.URL ; - var paramKey = "q" ; - - if (referrer.indexOf("?") !== -1) { - var qs = referrer.substr(referrer.indexOf('?') + 1); - var qs_noanchor = qs.split('#')[0]; - var qsa = qs_noanchor.split('&'); - var keyword = ""; - - for (var i = 0; i < qsa.length; i++) { - var currentParam = qsa[i].split('='); - - if (currentParam.length !== 2) { - continue; - } - - if (currentParam[0] == paramKey) { - keyword = decodeURIComponent(currentParam[1].replace(/\+/g, "%20")); - } - } - - if (keyword !== "") { - $(".contents").unmark({ - done: function() { - $(".contents").mark(keyword); - } - }); - } - } - }; - - mark(); - }); -}); - -/* Search term highlighting ------------------------------*/ - -function matchedWords(hit) { - var words = []; - - var hierarchy = hit._highlightResult.hierarchy; - // loop to fetch from lvl0, lvl1, etc. - for (var idx in hierarchy) { - words = words.concat(hierarchy[idx].matchedWords); - } - - var content = hit._highlightResult.content; - if (content) { - words = words.concat(content.matchedWords); - } - - // return unique words - var words_uniq = [...new Set(words)]; - return words_uniq; -} - -function updateHitURL(hit) { - - var words = matchedWords(hit); - var url = ""; - - if (hit.anchor) { - url = hit.url_without_anchor + '?q=' + escape(words.join(" ")) + '#' + hit.anchor; - } else { - url = hit.url + '?q=' + escape(words.join(" ")); - } - - return url; -} diff --git a/docs/index.html b/docs/index.html deleted file mode 100644 index b47d4b9..0000000 --- a/docs/index.html +++ /dev/null @@ -1,200 +0,0 @@ - - - - - - - -Flexible Occupancy Estimation in R • flocker - - - - - - - - - - - - -
    -
    - - - - -
    -
    - -

    flocker logo

    -
    - - - -

    The flocker R package enables users to fit flexible occupancy models using the extended lme4 formula syntax provided by R package brms. Also included are functions to format data for occupancy modeling and functions for model post-processing, including posterior predictions, the posterior distribution of the latent true occupancy state, and model comparison. flocker is under active development: development priorities include better integrated functionality for posterior predictive checking and full cross-validation.

    -

    Compared to existing R packages for fitting occupancy models, flocker is substantially more flexible in the variety of models that can be fit, and contains advanced functionality for model comparison and checking.

    -
    -

    Getting started -

    -

    To get started, check out our tutorial vignette, available here. For installation instructions, see below.

    -
    -
    -

    Installation -

    -

    Install flocker in R with

    -
    # install.packages("remotes")
    -remotes::install_github("jsocolar/flocker")
    -

    flocker requires a working version of either rstan or cmdstan, which are interfaces to Stan, a state-of-the-art the probabilistic programming language. We recommend using cmdstan if possible. To do so, first install R package cmdstanr with

    -
    install.packages("cmdstanr", repos = c("https://mc-stan.org/r-packages/", getOption("repos")))
    -

    You must additionally install cmdstan itself. We strongly recommend using cmdstanr to manage the cmdstan installation:

    -
    cmdstanr::install_cmdstan()
    -

    Both rstan and cmdstan require a working C++ toolchain, which has posed occasional complications for Stan users. See here for rstan focused advice on installing the toolchain, and see here for cmdstan focused advice. If you encounter toolchain issues that you are unable to troubleshoot, ask for help at https://discourse.mc-stan.org/.

    -
    -
    -

    Bugs, features, contributions -

    -

    To request a feature or report a bug (much appreciated!) please open an issue at the GitHub repository. To contribute to flocker (very much appreciated!) have a look at existing open issues, or open a new issue to discuss.

    -
    -
    -

    Citing flocker -

    -

    Please cite flocker as: * Socolar, J.B. & Mills, S.C. (2023). “flocker: flexible occupancy estimation in R.” R package version XXX, <URL: https://github.com/jsocolar/flocker/>.

    -

    Additionally, please consider citing Stan and R package brms.

    -
    -
    - -
    - - -
    - - -
    - -
    -

    -

    Site built with pkgdown 2.0.7.

    -
    - -
    -
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- - var nav_path = paths(links[i].pathname); - - var length = prefix_length(nav_path, cur_path); - if (length > max_length) { - max_length = length; - pos = i; - } - } - - // Add class to parent
  • , and enclosing
  • if in dropdown - if (pos >= 0) { - var menu_anchor = $(links[pos]); - menu_anchor.parent().addClass("active"); - menu_anchor.closest("li.dropdown").addClass("active"); - } - }); - - function paths(pathname) { - var pieces = pathname.split("/"); - pieces.shift(); // always starts with / - - var end = pieces[pieces.length - 1]; - if (end === "index.html" || end === "") - pieces.pop(); - return(pieces); - } - - // Returns -1 if not found - function prefix_length(needle, haystack) { - if (needle.length > haystack.length) - return(-1); - - // Special case for length-0 haystack, since for loop won't run - if (haystack.length === 0) { - return(needle.length === 0 ? 0 : -1); - } - - for (var i = 0; i < haystack.length; i++) { - if (needle[i] != haystack[i]) - return(i); - } - - return(haystack.length); - } - - /* Clipboard --------------------------*/ - - function changeTooltipMessage(element, msg) { - var tooltipOriginalTitle=element.getAttribute('data-original-title'); - element.setAttribute('data-original-title', msg); - $(element).tooltip('show'); - element.setAttribute('data-original-title', tooltipOriginalTitle); - } - - if(ClipboardJS.isSupported()) { - $(document).ready(function() { - var copyButton = ""; - - $("div.sourceCode").addClass("hasCopyButton"); - - // Insert copy buttons: - $(copyButton).prependTo(".hasCopyButton"); - - // Initialize tooltips: - $('.btn-copy-ex').tooltip({container: 'body'}); - - // Initialize clipboard: - var clipboardBtnCopies = new ClipboardJS('[data-clipboard-copy]', { - text: function(trigger) { - return trigger.parentNode.textContent.replace(/\n#>[^\n]*/g, ""); - } - }); - - clipboardBtnCopies.on('success', function(e) { - changeTooltipMessage(e.trigger, 'Copied!'); - e.clearSelection(); - }); - - clipboardBtnCopies.on('error', function() { - changeTooltipMessage(e.trigger,'Press Ctrl+C or Command+C to copy'); - }); - }); - } -})(window.jQuery || window.$) diff --git a/docs/pkgdown.yml b/docs/pkgdown.yml deleted file mode 100644 index 7ffd3b2..0000000 --- a/docs/pkgdown.yml +++ /dev/null @@ -1,10 +0,0 @@ -pandoc: 3.1.1 -pkgdown: 2.0.7 -pkgdown_sha: ~ -articles: - augmented_models: augmented_models.html - flocker_tutorial: flocker_tutorial.html - multiseason_models: multiseason_models.html - nonlinear_models: nonlinear_models.html -last_built: 2023-10-18T14:05Z - diff --git a/docs/reference/Rplot001.png b/docs/reference/Rplot001.png deleted file mode 100644 index 17a3580..0000000 Binary files a/docs/reference/Rplot001.png and /dev/null differ diff --git a/docs/reference/Z_from_emission.html b/docs/reference/Z_from_emission.html deleted file mode 100644 index 65e178c..0000000 --- a/docs/reference/Z_from_emission.html +++ /dev/null @@ -1,119 +0,0 @@ - -get Z given emission likelihoods and state probability — Z_from_emission • flocker - - -
    -
    - - - -
    -
    - - -
    -

    get Z given emission likelihoods and state probability

    -
    - -
    -
    Z_from_emission(el0, el1, psi_unconditional)
    -
    - -
    -

    Arguments

    -
    el0
    -

    emission likelihood given state 0

    - - -
    el1
    -

    emission likelihood given state 1

    - - -
    psi_unconditional
    -

    occupancy probability not conditioned on observation

    - -
    -
    -

    Value

    - - -

    occupancy probability conditioned on observation

    -
    - -
    - -
    - - -
    - -
    -

    Site built with pkgdown 2.0.7.

    -
    - -
    - - - - - - - - diff --git a/docs/reference/backward_algorithm.html b/docs/reference/backward_algorithm.html deleted file mode 100644 index f6f3de2..0000000 --- a/docs/reference/backward_algorithm.html +++ /dev/null @@ -1,123 +0,0 @@ - -Backward algorithm — backward_algorithm • flocker - - -
    -
    - - - -
    -
    - - -
    -

    Backward algorithm

    -
    - -
    -
    backward_algorithm(el0, el1, colo, ex)
    -
    - -
    -

    Arguments

    -
    el0
    -

    the emission probabilities given non-occupancy

    - - -
    el1
    -

    the emission probabilities given occupancy

    - - -
    colo
    -

    a vector giving the colonization probs

    - - -
    ex
    -

    a vector giving the extinction probs

    - -
    -
    -

    Value

    - - -

    an n x 2 matrix giving the backward probabilities

    -
    - -
    - -
    - - -
    - -
    -

    Site built with pkgdown 2.0.7.

    -
    - -
    - - - - - - - - diff --git a/docs/reference/emission_likelihood.html b/docs/reference/emission_likelihood.html deleted file mode 100644 index 9136494..0000000 --- a/docs/reference/emission_likelihood.html +++ /dev/null @@ -1,119 +0,0 @@ - -Get emission likelihoods given observations and detection probabilities — emission_likelihood • flocker - - -
    -
    - - - -
    -
    - - -
    -

    Get emission likelihoods given observations and detection probabilities

    -
    - -
    -
    emission_likelihood(state, obs, det)
    -
    - -
    -

    Arguments

    -
    state
    -

    Compute the emission likelihood for absence (0) or presence (1)

    - - -
    obs
    -

    A matrix of observation histories. Rows are units, columns are visits.

    - - -
    det
    -

    A matrix of detection probabilities

    - -
    -
    -

    Value

    - - -

    a vector of emission likelihoods (one per row)

    -
    - -
    - -
    - - -
    - -
    -

    Site built with pkgdown 2.0.7.

    -
    - -
    - - - - - - - - diff --git a/docs/reference/example_flocker_data.html b/docs/reference/example_flocker_data.html deleted file mode 100644 index 919cef4..0000000 --- a/docs/reference/example_flocker_data.html +++ /dev/null @@ -1,122 +0,0 @@ - -Example flocker data — example_flocker_data • flocker - - -
    -
    - - - -
    -
    - - -
    -

    Example data to be formatted for use in a single-season occupancy model

    -
    - -
    -
    example_flocker_data
    -
    - -
    -

    Format

    -

    ## `example_flocker_data` -A list with elements appropriate to pass to make_flocker_data:

    obs
    -

    A detection/nondetection matrix. Rows are units and colums are - visits

    - -
    unit_covs
    -

    A data.frame of four unit covs. `uc1` and `uc2` are - numeric; `grp` and `species` are categorical. Every level of `species` is - present for every value of `uc1` and `uc2`, as would be the case in a - typical multispecies model

    - -
    event_covs
    -

    A named list of two matrices, each representing a numeric - covariate that varies by visit but not by species

    - - -
    -
    -

    Source

    -

    data-raw/example_flocker_data.R

    -
    - -
    - -
    - - -
    - -
    -

    Site built with pkgdown 2.0.7.

    -
    - -
    - - - - - - - - diff --git a/docs/reference/example_flocker_model_aug.html b/docs/reference/example_flocker_model_aug.html deleted file mode 100644 index 689b969..0000000 --- a/docs/reference/example_flocker_model_aug.html +++ /dev/null @@ -1,108 +0,0 @@ - -Example data-augmented flocker model — example_flocker_model_aug • flocker - - -
    -
    - - - -
    -
    - - -
    -

    A fitted data-augmented occupancy model from flocker

    -
    - -
    -
    example_flocker_model_aug
    -
    - -
    -

    Format

    -

    ## `example_flocker_model_aug` -A flocker_fit and brmsfit object

    -
    -
    -

    Source

    -

    data-raw/example_flocker_model.R

    -
    - -
    - -
    - - -
    - -
    -

    Site built with pkgdown 2.0.7.

    -
    - -
    - - - - - - - - diff --git a/docs/reference/example_flocker_model_multi_auto_eq.html b/docs/reference/example_flocker_model_multi_auto_eq.html deleted file mode 100644 index 893d13e..0000000 --- a/docs/reference/example_flocker_model_multi_auto_eq.html +++ /dev/null @@ -1,112 +0,0 @@ - -Example multi-season flocker model (autologistic equilibrium) — example_flocker_model_multi_auto_eq • flocker - - -
    -
    - - - -
    -
    - - -
    -

    A fitted multi-season occupancy model from flocker. -One species 200 point, six season, four rep, missing seasons, missing reps. -autologistic parameterization with equilibrium init.

    -
    - -
    -
    example_flocker_model_multi_auto_eq
    -
    - -
    -

    Format

    -

    ## `example_flocker_model_multi_auto_eq` -A flocker_fit and brmsfit object

    -
    -
    -

    Source

    -

    data-raw/example_flocker_model.R

    -
    - -
    - -
    - - -
    - -
    -

    Site built with pkgdown 2.0.7.

    -
    - -
    - - - - - - - - diff --git a/docs/reference/example_flocker_model_multi_auto_ex.html b/docs/reference/example_flocker_model_multi_auto_ex.html deleted file mode 100644 index 105b1b7..0000000 --- a/docs/reference/example_flocker_model_multi_auto_ex.html +++ /dev/null @@ -1,112 +0,0 @@ - -Example multi-season flocker model (autologistic explicit) — example_flocker_model_multi_auto_ex • flocker - - -
    -
    - - - -
    -
    - - -
    -

    A fitted multi-season occupancy model from flocker. -One species 200 point, six season, four rep, missing seasons, missing reps. -autologistic parameterization with explicit init.

    -
    - -
    -
    example_flocker_model_multi_auto_ex
    -
    - -
    -

    Format

    -

    ## `example_flocker_model_multi_auto_ex` -A flocker_fit and brmsfit object

    -
    -
    -

    Source

    -

    data-raw/example_flocker_model.R

    -
    - -
    - -
    - - -
    - -
    -

    Site built with pkgdown 2.0.7.

    -
    - -
    - - - - - - - - diff --git a/docs/reference/example_flocker_model_multi_colex_eq.html b/docs/reference/example_flocker_model_multi_colex_eq.html deleted file mode 100644 index e13bc33..0000000 --- a/docs/reference/example_flocker_model_multi_colex_eq.html +++ /dev/null @@ -1,112 +0,0 @@ - -Example multi-season flocker model (colex equilibirum) — example_flocker_model_multi_colex_eq • flocker - - -
    -
    - - - -
    -
    - - -
    -

    A fitted multi-season occupancy model from flocker. -One species 200 point, six season, four rep, missing seasons, missing reps. -colex parameterization with equilibrium init.

    -
    - -
    -
    example_flocker_model_multi_colex_eq
    -
    - -
    -

    Format

    -

    ## `example_flocker_model_multi_colex_eq` -A flocker_fit and brmsfit object

    -
    -
    -

    Source

    -

    data-raw/example_flocker_model.R

    -
    - -
    - -
    - - -
    - -
    -

    Site built with pkgdown 2.0.7.

    -
    - -
    - - - - - - - - diff --git a/docs/reference/example_flocker_model_multi_colex_ex.html b/docs/reference/example_flocker_model_multi_colex_ex.html deleted file mode 100644 index 1d38a1d..0000000 --- a/docs/reference/example_flocker_model_multi_colex_ex.html +++ /dev/null @@ -1,112 +0,0 @@ - -Example multi-season flocker model (colex explicit) — example_flocker_model_multi_colex_ex • flocker - - -
    -
    - - - -
    -
    - - -
    -

    A fitted multi-season occupancy model from flocker. -One species 200 point, six season, four rep, missing seasons, missing reps. -colex parameterization with explicit init.

    -
    - -
    -
    example_flocker_model_multi_colex_ex
    -
    - -
    -

    Format

    -

    ## `example_flocker_model_multi_colex_ex` -A flocker_fit and brmsfit object

    -
    -
    -

    Source

    -

    data-raw/example_flocker_model.R

    -
    - -
    - -
    - - -
    - -
    -

    Site built with pkgdown 2.0.7.

    -
    - -
    - - - - - - - - diff --git a/docs/reference/example_flocker_model_single.html b/docs/reference/example_flocker_model_single.html deleted file mode 100644 index b27dff0..0000000 --- a/docs/reference/example_flocker_model_single.html +++ /dev/null @@ -1,108 +0,0 @@ - -Example single-season flocker model — example_flocker_model_single • flocker - - -
    -
    - - - -
    -
    - - -
    -

    A fitted single-season occupancy model from flocker

    -
    - -
    -
    example_flocker_model_single
    -
    - -
    -

    Format

    -

    ## `example_flocker_model_single` -A flocker_fit and brmsfit object

    -
    -
    -

    Source

    -

    data-raw/example_flocker_model.R

    -
    - -
    - -
    - - -
    - -
    -

    Site built with pkgdown 2.0.7.

    -
    - -
    - - - - - - - - diff --git a/docs/reference/example_flocker_model_single_C.html b/docs/reference/example_flocker_model_single_C.html deleted file mode 100644 index 0a38f3d..0000000 --- a/docs/reference/example_flocker_model_single_C.html +++ /dev/null @@ -1,108 +0,0 @@ - -Example single-season rep-constant flocker model — example_flocker_model_single_C • flocker - - -
    -
    - - - -
    -
    - - -
    -

    A fitted single-season rep-constant occupancy model from flocker

    -
    - -
    -
    example_flocker_model_single_C
    -
    - -
    -

    Format

    -

    ## `example_flocker_model_single_C` -A flocker_fit and brmsfit object

    -
    -
    -

    Source

    -

    data-raw/example_flocker_model.R

    -
    - -
    - -
    - - -
    - -
    -

    Site built with pkgdown 2.0.7.

    -
    - -
    - - - - - - - - diff --git a/docs/reference/expand_array_3D.html b/docs/reference/expand_array_3D.html deleted file mode 100644 index da1eb4a..0000000 --- a/docs/reference/expand_array_3D.html +++ /dev/null @@ -1,111 +0,0 @@ - -convert array to long matrix format — expand_array_3D • flocker - - -
    -
    - - - -
    -
    - - -
    -

    convert array to long matrix format

    -
    - -
    -
    expand_array_3D(a)
    -
    - -
    -

    Arguments

    -
    a
    -

    3D array to expand

    - -
    -
    -

    Value

    - - -

    matrix

    -
    - -
    - -
    - - -
    - -
    -

    Site built with pkgdown 2.0.7.

    -
    - -
    - - - - - - - - diff --git a/docs/reference/expand_matrix.html b/docs/reference/expand_matrix.html deleted file mode 100644 index a5a406f..0000000 --- a/docs/reference/expand_matrix.html +++ /dev/null @@ -1,111 +0,0 @@ - -convert matrix-like object to long vector format — expand_matrix • flocker - - -
    -
    - - - -
    -
    - - -
    -

    convert matrix-like object to long vector format

    -
    - -
    -
    expand_matrix(m)
    -
    - -
    -

    Arguments

    -
    m
    -

    matrix-like object to expand

    - -
    -
    -

    Value

    - - -

    vector

    -
    - -
    - -
    - - -
    - -
    -

    Site built with pkgdown 2.0.7.

    -
    - -
    - - - - - - - - diff --git a/docs/reference/extended_binomial_rng.html b/docs/reference/extended_binomial_rng.html deleted file mode 100644 index 0ad9c8b..0000000 --- a/docs/reference/extended_binomial_rng.html +++ /dev/null @@ -1,120 +0,0 @@ - -extended binomial RNG — extended_binomial_rng • flocker - - -
    -
    - - - -
    -
    - - -
    -

    extended binomial RNG

    -
    - -
    -
    extended_binomial_rng(p, s)
    -
    - -
    -

    Arguments

    -
    p
    -

    binomial probability

    - - -
    s
    -

    number of successes

    - -
    -
    -

    Value

    - - -

    a sample representing a possible number of trials

    -
    -
    -

    Details

    -

    random samples `y` from the distribution proportional to - binomial_pmf(y | n, s)

    -
    - -
    - -
    - - -
    - -
    -

    Site built with pkgdown 2.0.7.

    -
    - -
    - - - - - - - - diff --git a/docs/reference/fdtl.html b/docs/reference/fdtl.html deleted file mode 100644 index 22bedcc..0000000 --- a/docs/reference/fdtl.html +++ /dev/null @@ -1,106 +0,0 @@ - -flocker data type lookup — fdtl • flocker - - -
    -
    - - - -
    -
    - - -
    -

    flocker data type lookup

    -
    - -
    -
    fdtl()
    -
    - -
    -

    Value

    - - -

    dataframe giving lookup table for data input types, data output types - and model types

    -
    - -
    - -
    - - -
    - -
    -

    Site built with pkgdown 2.0.7.

    -
    - -
    - - - - - - - - diff --git a/docs/reference/figures/flocker.png b/docs/reference/figures/flocker.png deleted file mode 100644 index a6e50d5..0000000 Binary files a/docs/reference/figures/flocker.png and /dev/null differ diff --git a/docs/reference/figures/flocker_sticker.png b/docs/reference/figures/flocker_sticker.png deleted file mode 100644 index 3e73d88..0000000 Binary files a/docs/reference/figures/flocker_sticker.png and /dev/null differ diff --git a/docs/reference/figures/make_sticker.R b/docs/reference/figures/make_sticker.R deleted file mode 100644 index d9a2934..0000000 --- a/docs/reference/figures/make_sticker.R +++ /dev/null @@ -1,8 +0,0 @@ -img <- magick::image_read(paste0(this.path::this.dir(), "/flocker.png")) - -plot(img) -st <- hexSticker::sticker(img, package = "flocker", p_color = "gray95", - s_width = 1, s_height = 1, s_x = 1, p_y = 1.42, - h_color = "dodgerblue3", h_fill = "dodgerblue2", - filename=paste0(this.path::this.dir(), "flocker_sticker.png")) -plot(st) diff --git a/docs/reference/fitted_flocker.html b/docs/reference/fitted_flocker.html deleted file mode 100644 index 604876f..0000000 --- a/docs/reference/fitted_flocker.html +++ /dev/null @@ -1,5638 +0,0 @@ - -Posterior predictive distributions for modeled probabilities — fitted_flocker • flocker - - -
    -
    - - - -
    -
    - - -
    -

    Get expected values of the posterior predictive distribution for the modeled -probabilities (occupancy, detection, colonization, extinction, autologistic).

    -
    - -
    -
    fitted_flocker(
    -  flocker_fit,
    -  components = c("occ", "det", "col", "ex", "auto", "Omega"),
    -  new_data = NULL,
    -  unit_level = FALSE,
    -  summarise = FALSE,
    -  CI = c(0.05, 0.95),
    -  draw_ids = NULL,
    -  response = TRUE,
    -  re_formula = NULL,
    -  allow_new_levels = FALSE,
    -  sample_new_levels = "uncertainty"
    -)
    -
    - -
    -

    Arguments

    -
    flocker_fit
    -

    A flocker_fit object.

    - - -
    components
    -

    a character vector specifying one or more of "occ", -"det", "col", "ex", "auto", and "Omega" for which to obtain fitted values.

    - - -
    new_data
    -

    Optional new data at which to evaluate occupancy predictions. -New data can be passed as a flocker_data object produced by -make_flocker_data or as a dataframe with one row per desired -predicton. If `NULL` (the default) expected values are generated for the -original data as formatted by make_flocker_data.

    - - -
    unit_level
    -

    Logical; defaults to FALSE. Relevant only when `new_data` -is not a dataframe (i.e. it is `NULL` or a flocker_data object), and useful -only for multiseason models with missing seasons. If FALSE, returns in the -shape of the observation matrix/array with NAs for missing visits. If -TRUE, returns in the shape of the first visit, and returns values for all -units that are not part of a trailing block of never-visited units, -including never-visited units that are part of series with subsequent -visits.

    - - -
    summarise
    -

    if TRUE, return the expected value and upper and lower bound -of the credible interval, otherwise return posterior draws.

    - - -
    CI
    -

    A vector of length 2 specifying the upper and lower bounds of the -credible interval.

    - - -
    draw_ids
    -

    Vector of indices of the posterior draws to be -used. If `NULL` (the default) all draws are used in their native order.

    - - -
    response
    -

    Should results be returned on the response or logit scale? -Defaults to `TRUE`, i.e. response scale. However, the autologistic -parameter is not interpretable as a probability and is always returned -on the logit scale regardless of the value of `response`

    - - -
    re_formula
    -

    formula containing group-level effects to be considered in -the prediction. If `NULL` (default), include all group-level effects; if -NA, include no group-level effects.

    - - -
    allow_new_levels
    -

    allow new levels for random effect terms in `new_data`? -Will error if set to `FALSE` and new levels are provided in `new_data`.

    - - -
    sample_new_levels
    -

    If new_data is provided and contains random effect -levels not present in the original data, how should predictions be -handled? Passed directly to `brms::prepare_predictions`, which see.

    - -
    -
    -

    Value

    - - -

    A list of sets of expected values (one per component). If `new_data` - is a dataframe, each element contains one row per row of `new_data`. - Otherwise, returns in the shape of the observation matrix/array used - to format the flocker_data (but see `unit_level` parameter for further - details).

    -
    -
    -

    Details

    -

    The probabilities returned are conditional probabilties (e.g. detection -conditional on occupancy, colonization conditional on previous -non-occupancy, etc). These probabilities are not conditioned on the -observed histories (e.g. the occupancy probability is not fixed to one -at sites with a detection; it is estimated only based on the covariates).

    -
    - -
    -

    Examples

    -
    fitted_flocker(
    -  example_flocker_model_single, 
    -  summarise = TRUE, 
    -  draw_ids = 1:10
    -)
    -#> $linpred_occ
    -#> , , mean
    -#> 
    -#>             visit_1    visit_2    visit_3    visit_4
    -#> site_1   0.30506014 0.30506014 0.30506014 0.30506014
    -#> site_2   0.25214314 0.25214314 0.25214314 0.25214314
    -#> site_3   0.27880227 0.27880227 0.27880227 0.27880227
    -#> site_4   0.25791155 0.25791155 0.25791155 0.25791155
    -#> site_5   0.29628128 0.29628128 0.29628128 0.29628128
    -#> site_6   0.25909364 0.25909364 0.25909364 0.25909364
    -#> site_7   0.26196866 0.26196866 0.26196866 0.26196866
    -#> site_8   0.27550033 0.27550033 0.27550033 0.27550033
    -#> site_9   0.27487547 0.27487547 0.27487547 0.27487547
    -#> site_10  0.22613233 0.22613233 0.22613233 0.22613233
    -#> site_11  0.26935507 0.26935507 0.26935507 0.26935507
    -#> site_12  0.27228569 0.27228569 0.27228569 0.27228569
    -#> site_13  0.26874439 0.26874439 0.26874439 0.26874439
    -#> site_14  0.26664029 0.26664029 0.26664029 0.26664029
    -#> site_15  0.26262186 0.26262186 0.26262186 0.26262186
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    -#> , , Q95
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    -#> site_845 0.31030156 0.31030156 0.31030156 0.31030156
    -#> site_846 0.23723542 0.23723542 0.23723542 0.23723542
    -#> site_847 0.22769021 0.22769021 0.22769021 0.22769021
    -#> site_848 0.27954436 0.27954436 0.27954436 0.27954436
    -#> site_849 0.25321681 0.25321681 0.25321681 0.25321681
    -#> site_850 0.17945926 0.17945926 0.17945926 0.17945926
    -#> site_851 0.24071268 0.24071268 0.24071268 0.24071268
    -#> site_852 0.25004453 0.25004453 0.25004453 0.25004453
    -#> site_853 0.22837733 0.22837733 0.22837733 0.22837733
    -#> site_854 0.29852125 0.29852125 0.29852125 0.29852125
    -#> site_855 0.22151672 0.22151672 0.22151672 0.22151672
    -#> site_856 0.21018754 0.21018754 0.21018754 0.21018754
    -#> site_857 0.23843733 0.23843733 0.23843733 0.23843733
    -#> site_858 0.26729870 0.26729870 0.26729870 0.26729870
    -#> site_859 0.26206498 0.26206498 0.26206498 0.26206498
    -#> site_860 0.22787169 0.22787169 0.22787169 0.22787169
    -#> site_861 0.15766324 0.15766324 0.15766324 0.15766324
    -#> site_862 0.26193265 0.26193265 0.26193265 0.26193265
    -#> site_863 0.19030905 0.19030905 0.19030905 0.19030905
    -#> site_864 0.31710373 0.31710373 0.31710373 0.31710373
    -#> site_865 0.17201610 0.17201610 0.17201610 0.17201610
    -#> site_866 0.16562187 0.16562187 0.16562187 0.16562187
    -#> site_867 0.30869994 0.30869994 0.30869994 0.30869994
    -#> site_868 0.26205279 0.26205279 0.26205279 0.26205279
    -#> site_869 0.27119492 0.27119492 0.27119492 0.27119492
    -#> site_870 0.23544696 0.23544696 0.23544696 0.23544696
    -#> site_871 0.72774895 0.72774895 0.72774895 0.72774895
    -#> site_872 0.76026444 0.76026444 0.76026444 0.76026444
    -#> site_873 0.78550099 0.78550099 0.78550099 0.78550099
    -#> site_874 0.79776818 0.79776818 0.79776818 0.79776818
    -#> site_875 0.75806990 0.75806990 0.75806990 0.75806990
    -#> site_876 0.78105396 0.78105396 0.78105396 0.78105396
    -#> site_877 0.80197882 0.80197882 0.80197882 0.80197882
    -#> site_878 0.78819423 0.78819423 0.78819423 0.78819423
    -#> site_879 0.73627522 0.73627522 0.73627522 0.73627522
    -#> site_880 0.85090266 0.85090266 0.85090266 0.85090266
    -#> site_881 0.77184434 0.77184434 0.77184434 0.77184434
    -#> site_882 0.80615258 0.80615258 0.80615258 0.80615258
    -#> site_883 0.76564175 0.76564175 0.76564175 0.76564175
    -#> site_884 0.81169210 0.81169210 0.81169210 0.81169210
    -#> site_885 0.76358417 0.76358417 0.76358417 0.76358417
    -#> site_886 0.76822422 0.76822422 0.76822422 0.76822422
    -#> site_887 0.75383213 0.75383213 0.75383213 0.75383213
    -#> site_888 0.87078662 0.87078662 0.87078662 0.87078662
    -#> site_889 0.76717122 0.76717122 0.76717122 0.76717122
    -#> site_890 0.77504476 0.77504476 0.77504476 0.77504476
    -#> site_891 0.86001378 0.86001378 0.86001378 0.86001378
    -#> site_892 0.78415766 0.78415766 0.78415766 0.78415766
    -#> site_893 0.75020019 0.75020019 0.75020019 0.75020019
    -#> site_894 0.79145116 0.79145116 0.79145116 0.79145116
    -#> site_895 0.81242341 0.81242341 0.81242341 0.81242341
    -#> site_896 0.80434574 0.80434574 0.80434574 0.80434574
    -#> site_897 0.74851139 0.74851139 0.74851139 0.74851139
    -#> site_898 0.74848321 0.74848321 0.74848321 0.74848321
    -#> site_899 0.77334290 0.77334290 0.77334290 0.77334290
    -#> site_900 0.78528679 0.78528679 0.78528679 0.78528679
    -#> 
    -#> 
    -#> $linpred_det
    -#> , , mean
    -#> 
    -#>            visit_1    visit_2    visit_3   visit_4
    -#> site_1   0.4203014 0.63416438 0.25865238 0.3886053
    -#> site_2   0.4163406 0.62105821 0.25730148 0.3854787
    -#> site_3   0.4546375 0.65379665 0.29120076 0.4236528
    -#> site_4   0.3371438 0.53364543 0.20115036 0.3097778
    -#> site_5   0.5732667 0.74245516 0.40884510 0.5441400
    -#> site_6   0.3335865 0.53770624 0.19479247 0.3054522
    -#> site_7   0.3385041 0.53298977 0.20304481 0.3113321
    -#> site_8   0.2841800 0.48887421 0.15866383 0.2578255
    -#> site_9   0.3214210 0.53242446 0.18131499 0.2926380
    -#> site_10  0.5201576 0.70780621 0.34902197 0.4889351
    -#> site_11  0.4376287 0.63433650 0.27961777 0.4074920
    -#> site_12  0.3511914 0.56072946 0.20542606 0.3218247
    -#> site_13  0.3796956 0.58611745 0.22730544 0.3495920
    -#> site_14  0.5081645 0.70137156 0.33311967 0.4760938
    -#> site_15  0.5580858 0.72769212 0.39767151 0.5294072
    -#> site_16  0.2995705 0.51032910 0.16701915 0.2718959
    -#> site_17  0.4721510 0.66007060 0.30906538 0.4419473
    -#> site_18  0.3405669 0.54651217 0.19672393 0.3115792
    -#> site_19  0.4289668 0.62249166 0.27594746 0.3996348
    -#> site_20  0.3373476 0.53887897 0.19615361 0.3089328
    -#> site_21  0.3746457 0.58097932 0.22378806 0.3447492
    -#> site_22  0.3945609 0.61394175 0.22975843 0.3619734
    -#> site_23  0.5048083 0.69509417 0.33547981 0.4736998
    -#> site_24  0.3034228 0.51818125 0.16759447 0.2750124
    -#> site_25  0.3321087 0.54264870 0.18976562 0.3030958
    -#> site_26  0.4192417 0.62291064 0.26061311 0.3885333
    -#> site_27  0.4238904 0.63582025 0.25806023 0.3917486
    -#> site_28  0.3248971 0.52831938 0.18731167 0.2969313
    -#> site_29  0.4609404 0.65949460 0.29594385 0.4297779
    -#> site_30  0.3013508 0.51471975 0.16641027 0.2731600
    -#> site_31  0.4590499 0.26581181 0.38217713 0.2345144
    -#> site_32  0.4654659 0.27350340 0.39025910 0.2416089
    -#> site_33  0.4788452 0.28683296 0.40422839 0.2543055
    -#> site_34  0.3885359 0.21807068 0.31955779 0.1914213
    -#> site_35  0.5994049 0.40783996 0.52956327 0.3710933
    -#> site_36  0.3776890 0.20604915 0.30753025 0.1797529
    -#> site_37  0.3847473 0.21846857 0.31761669 0.1922481
    -#> site_38  0.3338146 0.17294666 0.26611322 0.1497118
    -#> site_39  0.3662926 0.19293553 0.29475386 0.1670242
    -#> site_40  0.5434776 0.34364129 0.46846951 0.3075775
    -#> site_41  0.4636038 0.27746740 0.39095006 0.2461429
    -#> site_42  0.3988298 0.21798382 0.32535780 0.1900019
    -#> site_43  0.4195342 0.23558671 0.34596880 0.2062538
    -#> site_44  0.5461625 0.34113567 0.46941133 0.3040561
    -#> site_45  0.5805878 0.39216718 0.51117418 0.3566446
    -#> site_46  0.3447152 0.17832279 0.27497525 0.1541513
    -#> site_47  0.5144813 0.32101066 0.44158221 0.2862944
    -#> site_48  0.3894045 0.21154010 0.31727987 0.1839828
    -#> site_49  0.4637039 0.28193344 0.39277187 0.2512678
    -#> site_50  0.3706350 0.20045841 0.30125444 0.1743580
    -#> site_51  0.4179119 0.23544198 0.34488206 0.2063489
    -#> site_52  0.4374455 0.23940874 0.35823976 0.2080789
    -#> site_53  0.5255951 0.32791773 0.45073948 0.2927264
    -#> site_54  0.3419660 0.17443600 0.27151640 0.1503215
    -#> site_55  0.3728827 0.19798976 0.30095766 0.1716364
    -#> site_56  0.4567388 0.26754902 0.38232250 0.2362880
    -#> site_57  0.4668975 0.26851880 0.38898375 0.2357809
    -#> site_58  0.3786244 0.20548456 0.30799894 0.1788958
    -#> site_59  0.4921365 0.29766515 0.41708351 0.2643183
    -#> site_60  0.3493039 0.17928821 0.27813969 0.1546012
    -#> site_61  0.3161091 0.26997105 0.34431201 0.2748776
    -#> site_62  0.3826162 0.33112419 0.41312187 0.3366926
    -#> site_63  0.2763486 0.23377453 0.30250561 0.2382867
    -#> site_64  0.3467497 0.29688449 0.37669750 0.3022344
    -#> site_65  0.4131535 0.36325889 0.44230790 0.3686994
    -#> site_66  0.2951597 0.24942892 0.32311411 0.2542867
    -#> site_67  0.3255784 0.28160356 0.35200740 0.2863258
    -#> site_68  0.2900592 0.24425329 0.31843878 0.2490839
    -#> site_69  0.2757724 0.23080803 0.30356869 0.2355538
    -#> site_70  0.3289489 0.28286499 0.35663321 0.2878120
    -#> site_71  0.2785120 0.23646045 0.30428533 0.2409241
    -#> site_72  0.3156721 0.26653221 0.34569562 0.2717529
    -#> site_73  0.3003075 0.25480344 0.32801891 0.2596487
    -#> site_74  0.3995754 0.34736564 0.43024589 0.3530390
    -#> site_75  0.3749044 0.32809766 0.40268691 0.3331572
    -#> site_76  0.2633261 0.21907379 0.29098214 0.2237159
    -#> site_77  0.4043276 0.35403316 0.43366337 0.3595268
    -#> site_78  0.3220453 0.27372818 0.35132924 0.2788861
    -#> site_79  0.3275818 0.28335840 0.35421172 0.2881013
    -#> site_80  0.2365338 0.19720514 0.26109746 0.2013336
    -#> site_81  0.3139931 0.26760125 0.34215397 0.2725511
    -#> site_82  0.3072966 0.25926008 0.33668958 0.2643600
    -#> site_83  0.2997944 0.25514580 0.32698687 0.2599013
    -#> site_84  0.2299355 0.19044220 0.25482736 0.1945669
    -#> site_85  0.2628220 0.21885428 0.29017021 0.2234782
    -#> site_86  0.3183612 0.27209534 0.34642629 0.2770344
    -#> site_87  0.3395597 0.28971737 0.36961083 0.2950548
    -#> site_88  0.3438314 0.29351707 0.37414553 0.2989066
    -#> site_89  0.3174669 0.27086266 0.34571641 0.2758387
    -#> site_90  0.2749042 0.22872138 0.30362398 0.2335776
    -#> site_91  0.5929049 0.35093611 0.34719734 0.2452455
    -#> site_92  0.6034293 0.36916091 0.36538374 0.2605966
    -#> site_93  0.5934182 0.36164572 0.35794375 0.2553649
    -#> site_94  0.5314351 0.30573965 0.30233637 0.2105372
    -#> site_95  0.7001319 0.49070507 0.48692803 0.3754185
    -#> site_96  0.5164664 0.28681972 0.28344901 0.1936519
    -#> site_97  0.5180305 0.30139594 0.29813791 0.2098833
    -#> site_98  0.4832447 0.25234936 0.24915200 0.1661018
    -#> site_99  0.5076702 0.27353645 0.27014812 0.1808226
    -#> site_100 0.6511914 0.42348891 0.41959245 0.3082765
    -#> site_101 0.5785456 0.35176178 0.34817325 0.2489332
    -#> site_102 0.5438358 0.30444182 0.30086855 0.2052544
    -#> site_103 0.5519482 0.31851826 0.31493865 0.2179158
    -#> site_104 0.6674485 0.43638222 0.43236125 0.3166897
    -#> site_105 0.6799634 0.46901265 0.46529482 0.3567342
    -#> site_106 0.4893587 0.25551041 0.25224956 0.1674622
    -#> site_107 0.6377544 0.41551124 0.41170130 0.3021442
    -#> site_108 0.5325724 0.29895516 0.29544556 0.2012722
    -#> site_109 0.5840251 0.36270508 0.35917546 0.2610487
    -#> site_110 0.4958452 0.27209106 0.26881604 0.1818498
    -#> site_111 0.5527545 0.32084078 0.31728354 0.2207019
    -#> site_112 0.5777615 0.32877866 0.32493112 0.2210526
    -#> site_113 0.6335248 0.40395198 0.40011310 0.2913541
    -#> site_114 0.4794843 0.24639408 0.24316912 0.1598050
    -#> site_115 0.5110800 0.27590863 0.27250243 0.1826174
    -#> site_116 0.5846928 0.35178856 0.34811151 0.2468810
    -#> site_117 0.6029133 0.36021461 0.35634316 0.2496294
    -#> site_118 0.5273970 0.29508725 0.29163514 0.1992115
    -#> site_119 0.6118788 0.38001518 0.37623582 0.2706010
    -#> site_120 0.4973172 0.25980630 0.25645999 0.1693722
    -#> site_121 0.5373609 0.40599146 0.47980000 0.1661825
    -#> site_122 0.5533091 0.42625963 0.49837684 0.1786198
    -#> site_123 0.5389906 0.41335093 0.48440521 0.1723171
    -#> site_124 0.4819656 0.35919640 0.42780276 0.1424855
    -#> site_125 0.6557222 0.54250540 0.60830044 0.2741727
    -#> site_126 0.4635092 0.33869964 0.40801303 0.1278170
    -#> site_127 0.4692020 0.35183173 0.41730270 0.1434648
    -#> site_128 0.4293783 0.30356567 0.37254146 0.1083522
    -#> site_129 0.4530691 0.32579531 0.39629885 0.1168978
    -#> site_130 0.6002263 0.47685032 0.54775198 0.2134321
    -#> site_131 0.5252416 0.40238736 0.47169078 0.1689539
    -#> site_132 0.4897820 0.35946017 0.43215732 0.1348961
    -#> site_133 0.4985257 0.37186234 0.44291234 0.1443738
    -#> site_134 0.6188626 0.49383614 0.56600419 0.2192080
    -#> site_135 0.6338135 0.51955653 0.58559483 0.2593034
    -#> site_136 0.4337360 0.30649104 0.37636525 0.1080258
    -#> site_137 0.5911665 0.47106772 0.54005801 0.2101840
    -#> site_138 0.4803259 0.35332248 0.42426301 0.1321810
    -#> site_139 0.5338793 0.41404038 0.48177548 0.1820181
    -#> site_140 0.4420358 0.32066615 0.38800010 0.1178762
    -#> site_141 0.5002519 0.37444534 0.44500858 0.1474971
    -#> site_142 0.5214294 0.38610710 0.46225202 0.1435730
    -#> site_143 0.5808178 0.45635962 0.52746603 0.1994232
    -#> site_144 0.4223680 0.29573731 0.36517600 0.1015965
    -#> site_145 0.4555475 0.32770183 0.39851380 0.1177139
    -#> site_146 0.5319628 0.40565051 0.47694623 0.1673538
    -#> site_147 0.5491742 0.41748160 0.49204282 0.1665493
    -#> site_148 0.4761633 0.34975133 0.42017176 0.1319292
    -#> site_149 0.5594746 0.43377251 0.50522043 0.1846327
    -#> site_150 0.4417452 0.31237270 0.38364415 0.1086242
    -#> site_151 0.3309179 0.28928375 0.43848126 0.5672192
    -#> site_152 0.4040636 0.35795941 0.51530543 0.6352763
    -#> site_153 0.2852393 0.24708657 0.38485000 0.5061905
    -#> site_154 0.3711823 0.32587769 0.48296128 0.6069679
    -#> site_155 0.4244367 0.38046379 0.52869773 0.6393111
    -#> site_156 0.3147773 0.27308016 0.42138028 0.5461781
    -#> site_157 0.3455904 0.30593840 0.44449200 0.5585077
    -#> site_158 0.3130007 0.27073695 0.42396628 0.5579485
    -#> site_159 0.2941827 0.25294429 0.40209520 0.5322136
    -#> site_160 0.3380322 0.29728468 0.43997477 0.5573715
    -#> site_161 0.2882744 0.25053095 0.38638814 0.5055608
    -#> site_162 0.3368780 0.29202951 0.45139880 0.5841234
    -#> site_163 0.3169279 0.27577829 0.42183259 0.5447180
    -#> site_164 0.4160838 0.36989883 0.52622022 0.6435033
    -#> site_165 0.3839686 0.34269517 0.48496528 0.5973373
    -#> site_166 0.2823664 0.24141594 0.39176782 0.5271825
    -#> site_167 0.4225747 0.37827227 0.52746863 0.6400097
    -#> site_168 0.3439688 0.30009660 0.45440763 0.5808709
    -#> site_169 0.3415600 0.30197580 0.44091623 0.5560348
    -#> site_170 0.2490753 0.21318867 0.34542799 0.4672292
    -#> site_171 0.3316713 0.28968087 0.43817084 0.5620938
    -#> site_172 0.3243938 0.28091745 0.43614446 0.5676340
    -#> site_173 0.3074665 0.26772170 0.40963627 0.5313754
    -#> site_174 0.2447200 0.20839585 0.34377273 0.4711076
    -#> site_175 0.2795504 0.23920726 0.38639760 0.5172436
    -#> site_176 0.3333475 0.29169357 0.43910480 0.5625125
    -#> site_177 0.3570609 0.31223032 0.46928710 0.5969914
    -#> site_178 0.3694210 0.32365057 0.48310507 0.6104242
    -#> site_179 0.3295631 0.28777434 0.43560660 0.5589818
    -#> site_180 0.2953698 0.25268733 0.40792574 0.5437346
    -#> site_181 0.2492777 0.28928894 0.62131394 0.3675217
    -#> site_182 0.2756263 0.31817395 0.64279645 0.3992323
    -#> site_183 0.2467576 0.28637749 0.60564669 0.3630896
    -#> site_184 0.2283300 0.26617510 0.58271363 0.3404822
    -#> site_185 0.3691839 0.41461305 0.71299284 0.4963315
    -#> site_186 0.2043370 0.24032872 0.55815851 0.3122940
    -#> site_187 0.2252716 0.26090290 0.55970609 0.3304816
    -#> site_188 0.1817539 0.21551405 0.53822296 0.2847965
    -#> site_189 0.1909881 0.22645850 0.54884800 0.2982361
    -#> site_190 0.2981235 0.34190763 0.66029213 0.4238934
    -#> site_191 0.2428865 0.28137079 0.59358981 0.3559050
    -#> site_192 0.2172031 0.25573155 0.58893690 0.3324468
    -#> site_193 0.2243362 0.26264671 0.58358959 0.3379703
    -#> site_194 0.3214841 0.36810281 0.69157130 0.4540517
    -#> site_195 0.3456626 0.38942593 0.68974900 0.4693889
    -#> site_196 0.1777435 0.21147524 0.53510460 0.2808602
    -#> site_197 0.3122321 0.35687141 0.66832388 0.4388255
    -#> site_198 0.2160976 0.25415516 0.57840664 0.3294762
    -#> site_199 0.2641908 0.30306672 0.60856244 0.3774444
    -#> site_200 0.1835275 0.21709521 0.52285347 0.2849100
    -#> site_201 0.2303086 0.26874785 0.58819637 0.3440131
    -#> site_202 0.2282313 0.26898402 0.61051627 0.3495467
    -#> site_203 0.2786813 0.32109100 0.64159908 0.4014305
    -#> site_204 0.1650555 0.19726895 0.51389046 0.2641184
    -#> site_205 0.1890554 0.22441148 0.54822538 0.2961404
    -#> site_206 0.2508356 0.29083156 0.61219919 0.3682351
    -#> site_207 0.2573398 0.29980957 0.63501838 0.3817344
    -#> site_208 0.2187924 0.25681120 0.58176649 0.3320106
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    -#> 
    -#> , , Q5
    -#> 
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    -#> , , Q95
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    -#> site_845 0.7867739 0.8330834 0.5793494 0.8467800
    -#> site_846 0.4757580 0.5518246 0.2614457 0.5774631
    -#> site_847 0.4442233 0.5142308 0.2423235 0.5378814
    -#> site_848 0.4691427 0.5456514 0.2516735 0.5711949
    -#> site_849 0.4466790 0.5210602 0.2353585 0.5461324
    -#> site_850 0.7494902 0.8032214 0.5210816 0.8192759
    -#> site_851 0.6639540 0.7263254 0.4309469 0.7456992
    -#> site_852 0.5962287 0.6666520 0.3539172 0.6889930
    -#> site_853 0.5790849 0.6532755 0.3331300 0.6769842
    -#> site_854 0.6722229 0.7374333 0.4257458 0.7574827
    -#> site_855 0.8237622 0.8626321 0.6419367 0.8740410
    -#> site_856 0.4898152 0.5620340 0.2733653 0.5861075
    -#> site_857 0.7474577 0.8002218 0.5263533 0.8160757
    -#> site_858 0.4793266 0.5638630 0.2360346 0.5918289
    -#> site_859 0.6132138 0.6791887 0.3896230 0.7001213
    -#> site_860 0.5368577 0.6140473 0.2953603 0.6392263
    -#> site_861 0.4715085 0.5536336 0.2478670 0.5810123
    -#> site_862 0.5409239 0.6315064 0.2594618 0.6604470
    -#> site_863 0.7322808 0.7882642 0.5014106 0.8051223
    -#> site_864 0.5051358 0.5800670 0.2747334 0.6046997
    -#> site_865 0.4888640 0.5637175 0.2688472 0.5890883
    -#> site_866 0.6280317 0.6926917 0.3977928 0.7130834
    -#> site_867 0.6167061 0.6878480 0.3664812 0.7101943
    -#> site_868 0.4944050 0.5717641 0.2660574 0.5972600
    -#> site_869 0.6541520 0.7162042 0.4259560 0.7359128
    -#> site_870 0.4427018 0.5172739 0.2314648 0.5424856
    -#> site_871 0.7316059 0.4206630 0.6271993 0.7292653
    -#> site_872 0.7214191 0.3580689 0.5946840 0.7186033
    -#> site_873 0.6541655 0.3219341 0.5334072 0.6513549
    -#> site_874 0.7228041 0.3875573 0.5974076 0.7199266
    -#> site_875 0.7746642 0.4628159 0.6659983 0.7723157
    -#> site_876 0.6601405 0.3122370 0.5269193 0.6567751
    -#> site_877 0.6939865 0.3755737 0.5814064 0.6914173
    -#> site_878 0.6836369 0.3607311 0.5677984 0.6809689
    -#> site_879 0.6558217 0.2989510 0.5249461 0.6527882
    -#> site_880 0.7489500 0.3886689 0.6306058 0.7463743
    -#> site_881 0.6426225 0.2985804 0.5154904 0.6396511
    -#> site_882 0.6760897 0.3121651 0.5428570 0.6728804
    -#> site_883 0.6711204 0.3149552 0.5343770 0.6679847
    -#> site_884 0.7765283 0.4270387 0.6669000 0.7741889
    -#> site_885 0.7244320 0.4273235 0.6072429 0.7218195
    -#> site_886 0.6248900 0.3024369 0.5055663 0.6220754
    -#> site_887 0.8371909 0.5270020 0.7510486 0.8354262
    -#> site_888 0.6950048 0.3411424 0.5715970 0.6922204
    -#> site_889 0.7137928 0.4146795 0.6015132 0.7112535
    -#> site_890 0.6150032 0.2673579 0.4832610 0.6116381
    -#> site_891 0.6658537 0.3393292 0.5487944 0.6631441
    -#> site_892 0.6530012 0.3153120 0.5296535 0.6501308
    -#> site_893 0.6841620 0.3456436 0.5645264 0.6814260
    -#> site_894 0.6305940 0.2802819 0.4977169 0.6274510
    -#> site_895 0.5963458 0.2489455 0.4572490 0.5927308
    -#> site_896 0.6794087 0.3579212 0.5658246 0.6767957
    -#> site_897 0.7636265 0.4167604 0.6521463 0.7612142
    -#> site_898 0.7521189 0.4126226 0.6417375 0.7497060
    -#> site_899 0.6578301 0.3113439 0.5289458 0.6548501
    -#> site_900 0.6409140 0.2753906 0.4958105 0.6374827
    -#> 
    -#> 
    -
    -
    -
    -
    - -
    - - -
    - -
    -

    Site built with pkgdown 2.0.7.

    -
    - -
    - - - - - - - - diff --git a/docs/reference/flock.html b/docs/reference/flock.html deleted file mode 100644 index 3f5b3bd..0000000 --- a/docs/reference/flock.html +++ /dev/null @@ -1,211 +0,0 @@ - -Fit an occupancy model — flock • flocker - - -
    -
    - - - -
    -
    - - -
    -

    Fit an occupancy model

    -
    - -
    -
    flock(
    -  f_occ = NULL,
    -  f_det,
    -  flocker_data,
    -  data2 = NULL,
    -  multiseason = NULL,
    -  f_col = NULL,
    -  f_ex = NULL,
    -  multi_init = NULL,
    -  f_auto = NULL,
    -  augmented = FALSE,
    -  threads = NULL,
    -  ...
    -)
    -
    - -
    -

    Arguments

    -
    f_occ
    -

    A brms-type model formula for occupancy. If provided, must begin -with "~".

    - - -
    f_det
    -

    A brms-type model formula for detection. Must begin with "~". -OR, a brmsformula object including formulas for all of the relevant -distributional parameters in the desired model (det and at least one of occ, -colo, ex, autologistic, and Omega). The $formula element of the -brmsformula must be the detection formula, beginning with det ~. -This latter option unadvisable except when necessary (e.g. when a nonlinear -formula is desired), as input checking is less thorough.

    - - -
    flocker_data
    -

    data, generally the output of make_flocker_data().

    - - -
    data2
    -

    additional data (e.g. a covariance matrix for a phylogenetic -effect)

    - - -
    multiseason
    -

    Must be NULL (the default) or one of "colex" or -"autologistic". If NULL, data must be formatted for a single-season model. -Otherwise, the data must be formatted for a multiseason model. If "colex", a -colonization-extinction model will be fit, and `f_col` and `f_ex` must be -specified. If "autologistic", an autologistic model will be fit, and `f_col` -and `f_ex` must both be NULL.

    - - -
    f_col
    -

    A brms-type model formula for colonization in -colonization-extinction dynamic models. If provided, must begin with "~".

    - - -
    f_ex
    -

    A brms-type model formula for extinction probabilities in -colonization-extinction dynamic models. If provided, must begin with "~".

    - - -
    multi_init
    -

    Must be NULL unless the model is a dynamic (multiseason) -model, in which case must be either "explicit" or "equilibrium". -If "explicit", then `f_occ` must be provided to model occupancy -probabilities in the first timestep. If "equilibrium", then `f_occ` must be -`NULL` and the initial occupancy probabilities are assumed to be the -(possibly site-specific) equilibrium probabilities from the colonization- -extinction dynamics.

    - - -
    f_auto
    -

    Relevant only for autologistic models. A brms-type model -formula for the autologistic offset parameter (theta). If provided, must -begin with "~".

    - - -
    augmented
    -

    Logical. Must be TRUE if data are formatted for a -data-augmented multi-species model, and FALSE otherwise.

    - - -
    threads
    -

    NULL or positive integer. If integer, the number of threads -to use per chain in within chain parallelization. Currently available only -with single-season rep-constant models, and must be set to NULL otherwise.

    - - -
    ...
    -

    additional arguments passed to brms::brm()

    - -
    -
    -

    Value

    - - -

    a brmsfit containing the fitted occupancy model.

    -
    - -
    -

    Examples

    -
    if (FALSE) {
    -fd <- make_flocker_data(
    - example_flocker_data$obs, 
    - example_flocker_data$unit_covs,
    - example_flocker_data$event_covs
    -)
    -flock(f_occ = ~ uc1 + s(uc2) + (1|grp),
    -          f_det = ~ uc1 + ec1 + s(ec2) + (1|grp),
    -          flocker_data = fd,
    -          refresh = 50, chains = 1, warmup = 5, iter = 200,
    -          adapt_engaged = F, step_size = .05, max_treedepth = 5, seed = 123,
    -          backend = "cmdstanr")
    -}
    -
    -
    -
    - -
    - - -
    - -
    -

    Site built with pkgdown 2.0.7.

    -
    - -
    - - - - - - - - diff --git a/docs/reference/flock_.html b/docs/reference/flock_.html deleted file mode 100644 index 6255f47..0000000 --- a/docs/reference/flock_.html +++ /dev/null @@ -1,197 +0,0 @@ - -Fit an occupancy model, or generate Stan code/data for a model, or get the prior -for a model — flock_ • flocker - - -
    -
    - - - -
    -
    - - -
    -

    Fit an occupancy model, or generate Stan code/data for a model, or get the prior -for a model

    -
    - -
    -
    flock_(
    -  output,
    -  f_occ,
    -  f_det,
    -  flocker_data,
    -  data2 = NULL,
    -  multiseason = NULL,
    -  f_col = NULL,
    -  f_ex = NULL,
    -  multi_init = NULL,
    -  f_auto = NULL,
    -  augmented = FALSE,
    -  threads = NULL,
    -  ...
    -)
    -
    - -
    -

    Arguments

    -
    output
    -

    "model" for model fitting, "code" for stancode, "data" for standata, -"prior" for get_prior output

    - - -
    f_occ
    -

    A brms-type model formula for occupancy. If provided, must begin -with "~".

    - - -
    f_det
    -

    A brms-type model formula for detection. Must begin with "~".

    - - -
    flocker_data
    -

    data, generally the output of make_flocker_data().

    - - -
    data2
    -

    additional data (e.g. a covariance matrix for a phylogenetic -effect)

    - - -
    multiseason
    -

    Must be NULL (the default) or one of "colex" or -"autologistic". If NULL, data must be formatted for a single-season model. -Otherwise, the data must be formatted for a multiseason model. If "colex", a -colonization-extinction model will be fit, and `f_col` and `f_ex` must be -specified. If "autologistic", an autologistic model will be fit, and `f_col` -and `f_ex` must both be NULL.

    - - -
    f_col
    -

    A brms-type model formula for colonization in -colonization-extinction dynamic models. If provided, must begin with "~".

    - - -
    f_ex
    -

    A brms-type model formula for extinction probabilities in -colonization-extinction dynamic models. If provided, must begin with "~".

    - - -
    multi_init
    -

    Must be NULL unless the model is a dynamic (multiseason) -model, in which case must be either "explicit" or "equilibrium". -If "explicit", then `f_occ` must be provided to model occupancy -probabilities in the first timestep. If "equilibrium", then `f_occ` must be -`NULL` and the initial occupancy probabilities are assumed to be the -(possibly site-specific) equilibrium probabilities from the colonization- -extinction dynamics.

    - - -
    f_auto
    -

    A brms-type model formula for the autologistic offset -parameter (theta). If provided, must begin with "~".

    - - -
    augmented
    -

    Logical. Must be TRUE if data are formatted for a -data-augmented multi-species model, and FALSE otherwise.

    - - -
    threads
    -

    NULL or positive integer. If integer, the number of threads -to use per chain in within chain parallelization.

    - - -
    ...
    -

    additional arguments passed to brms::brm()

    - -
    -
    -

    Value

    - - -

    stan code for brms model or a brmsfit containing the fitted occupancy model.

    -
    - -
    - -
    - - -
    - -
    -

    Site built with pkgdown 2.0.7.

    -
    - -
    - - - - - - - - diff --git a/docs/reference/flocker_col_names.html b/docs/reference/flocker_col_names.html deleted file mode 100644 index 97174dc..0000000 --- a/docs/reference/flocker_col_names.html +++ /dev/null @@ -1,116 +0,0 @@ - -column names created in flocker — flocker_col_names • flocker - - -
    -
    - - - -
    -
    - - -
    -

    column names created in flocker

    -
    - -
    -
    flocker_col_names(n_rep = NULL, n_year = NULL)
    -
    - -
    -

    Arguments

    -
    n_rep
    -

    max number of repeat visits

    - - -
    n_year
    -

    max length of hmm series in dynamic models

    - -
    -
    -

    Value

    - - -

    character vector of column names created internally by - make_flocker_data

    -
    - -
    - -
    - - -
    - -
    -

    Site built with pkgdown 2.0.7.

    -
    - -
    - - - - - - - - diff --git a/docs/reference/flocker_data_input_types.html b/docs/reference/flocker_data_input_types.html deleted file mode 100644 index a9517fe..0000000 --- a/docs/reference/flocker_data_input_types.html +++ /dev/null @@ -1,105 +0,0 @@ - -Options for the type argument to make_flocker_data. — flocker_data_input_types • flocker - - -
    -
    - - - -
    -
    - - -
    -

    Options for the type argument to make_flocker_data.

    -
    - -
    -
    flocker_data_input_types()
    -
    - -
    -

    Value

    - - -

    character vector of possible inputs

    -
    - -
    - -
    - - -
    - -
    -

    Site built with pkgdown 2.0.7.

    -
    - -
    - - - - - - - - diff --git a/docs/reference/flocker_data_output_types.html b/docs/reference/flocker_data_output_types.html deleted file mode 100644 index c1bf19b..0000000 --- a/docs/reference/flocker_data_output_types.html +++ /dev/null @@ -1,105 +0,0 @@ - -Data types that can be returned by make_flocker_data. — flocker_data_output_types • flocker - - -
    -
    - - - -
    -
    - - -
    -

    Data types that can be returned by make_flocker_data.

    -
    - -
    -
    flocker_data_output_types()
    -
    - -
    -

    Value

    - - -

    character vector of data output types

    -
    - -
    - -
    - - -
    - -
    -

    Site built with pkgdown 2.0.7.

    -
    - -
    - - - - - - - - diff --git a/docs/reference/flocker_fit_code_util.html b/docs/reference/flocker_fit_code_util.html deleted file mode 100644 index 107d93a..0000000 --- a/docs/reference/flocker_fit_code_util.html +++ /dev/null @@ -1,148 +0,0 @@ - -Either fit a flocker model or output stancode or output standata — flocker_fit_code_util • flocker - - -
    -
    - - - -
    -
    - - -
    -

    Either fit a flocker model or output stancode or output standata

    -
    - -
    -
    flocker_fit_code_util(
    -  output,
    -  f_use,
    -  data,
    -  data2,
    -  family,
    -  stanvars,
    -  threads = NULL,
    -  ...
    -)
    -
    - -
    -

    Arguments

    -
    output
    -

    one of "model", "code", "data", or "prior"

    - - -
    f_use
    -

    brms formula

    - - -
    data
    -

    brms data

    - - -
    data2
    -

    brms data2

    - - -
    family
    -

    brms family

    - - -
    stanvars
    -

    brms stanvars

    - - -
    threads
    -

    brms threads

    - - -
    ...
    -

    brms ...

    - -
    -
    -

    Value

    - - -

    output of brms::brm or brms::make_stancode or brms::make_standata

    -
    - -
    - -
    - - -
    - -
    -

    Site built with pkgdown 2.0.7.

    -
    - -
    - - - - - - - - diff --git a/docs/reference/flocker_model_types.html b/docs/reference/flocker_model_types.html deleted file mode 100644 index 1435c3c..0000000 --- a/docs/reference/flocker_model_types.html +++ /dev/null @@ -1,105 +0,0 @@ - -Model types in flocker as outputted by `flock` — flocker_model_types • flocker - - -
    -
    - - - -
    -
    - - -
    -

    Model types in flocker as outputted by `flock`

    -
    - -
    -
    flocker_model_types()
    -
    - -
    -

    Value

    - - -

    character vector of types

    -
    - -
    - -
    - - -
    - -
    -

    Site built with pkgdown 2.0.7.

    -
    - -
    - - - - - - - - diff --git a/docs/reference/flocker_reserved.html b/docs/reference/flocker_reserved.html deleted file mode 100644 index a1010f0..0000000 --- a/docs/reference/flocker_reserved.html +++ /dev/null @@ -1,105 +0,0 @@ - -Reserved names in flocker — flocker_reserved • flocker - - -
    -
    - - - -
    -
    - - -
    -

    Reserved names in flocker

    -
    - -
    -
    flocker_reserved()
    -
    - -
    -

    Value

    - - -

    character vector of regexes matching reserved variable names

    -
    - -
    - -
    - - -
    - -
    -

    Site built with pkgdown 2.0.7.

    -
    - -
    - - - - - - - - diff --git a/docs/reference/flocker_stancode.html b/docs/reference/flocker_stancode.html deleted file mode 100644 index 7ee54db..0000000 --- a/docs/reference/flocker_stancode.html +++ /dev/null @@ -1,205 +0,0 @@ - -Generate stan code for an occupancy model — flocker_stancode • flocker - - -
    -
    - - - -
    -
    - - -
    -

    Generate stan code for an occupancy model

    -
    - -
    -
    flocker_stancode(
    -  f_occ = NULL,
    -  f_det,
    -  flocker_data,
    -  data2 = NULL,
    -  multiseason = NULL,
    -  f_col = NULL,
    -  f_ex = NULL,
    -  multi_init = NULL,
    -  f_auto = NULL,
    -  augmented = FALSE,
    -  threads = NULL,
    -  ...
    -)
    -
    - -
    -

    Arguments

    -
    f_occ
    -

    A brms-type model formula for occupancy. If provided, must begin -with "~".

    - - -
    f_det
    -

    A brms-type model formula for detection. Must begin with "~". -OR, a brmsformula object including formulas for all of the relevant -distributional parameters in the desired model (det and at least one of occ, -colo, ex, autologistic, and Omega). The $formula element of the -brmsformula must be the detection formula, beginning with det ~. -This latter option unadvisable except when necessary (e.g. when a nonlinear -formula is desired), as input checking is less thorough.

    - - -
    flocker_data
    -

    data, generally the output of make_flocker_data().

    - - -
    data2
    -

    additional data (e.g. a covariance matrix for a phylogenetic -effect)

    - - -
    multiseason
    -

    Must be NULL (the default) or one of "colex" or -"autologistic". If NULL, data must be formatted for a single-season model. -Otherwise, the data must be formatted for a multiseason model. If "colex", a -colonization-extinction model will be fit, and `f_col` and `f_ex` must be -specified. If "autologistic", an autologistic model will be fit, and `f_col` -and `f_ex` must both be NULL.

    - - -
    f_col
    -

    A brms-type model formula for colonization in -colonization-extinction dynamic models. If provided, must begin with "~".

    - - -
    f_ex
    -

    A brms-type model formula for extinction probabilities in -colonization-extinction dynamic models. If provided, must begin with "~".

    - - -
    multi_init
    -

    Must be NULL unless the model is a dynamic (multiseason) -model, in which case must be either "explicit" or "equilibrium". -If "explicit", then `f_occ` must be provided to model occupancy -probabilities in the first timestep. If "equilibrium", then `f_occ` must be -`NULL` and the initial occupancy probabilities are assumed to be the -(possibly site-specific) equilibrium probabilities from the colonization- -extinction dynamics.

    - - -
    f_auto
    -

    Relevant only for autologistic models. A brms-type model -formula for the autologistic offset parameter (theta). If provided, must -begin with "~".

    - - -
    augmented
    -

    Logical. Must be TRUE if data are formatted for a -data-augmented multi-species model, and FALSE otherwise.

    - - -
    threads
    -

    NULL or positive integer. If integer, the number of threads -to use per chain in within chain parallelization. Currently available only -with single-season rep-constant models, and must be set to NULL otherwise.

    - - -
    ...
    -

    additional arguments passed to brms::brm()

    - -
    - -
    -

    Examples

    -
    if (FALSE) {
    -fd <- make_flocker_data(
    - example_flocker_data$obs, 
    - example_flocker_data$unit_covs,
    - example_flocker_data$event_covs
    -)
    -flocker_stancode(f_occ = ~ uc1 + s(uc2) + (1|grp),
    -          f_det = ~ uc1 + ec1 + s(ec2) + (1|grp),
    -          flocker_data = fd,
    -          refresh = 50, chains = 1, warmup = 5, iter = 200,
    -          adapt_engaged = F, step_size = .05, max_treedepth = 5, seed = 123,
    -          backend = "cmdstanr")
    -}
    -
    -
    -
    - -
    - - -
    - -
    -

    Site built with pkgdown 2.0.7.

    -
    - -
    - - - - - - - - diff --git a/docs/reference/flocker_standata.html b/docs/reference/flocker_standata.html deleted file mode 100644 index 294923c..0000000 --- a/docs/reference/flocker_standata.html +++ /dev/null @@ -1,205 +0,0 @@ - -Generate stan data for an occupancy model — flocker_standata • flocker - - -
    -
    - - - -
    -
    - - -
    -

    Generate stan data for an occupancy model

    -
    - -
    -
    flocker_standata(
    -  f_occ = NULL,
    -  f_det,
    -  flocker_data,
    -  data2 = NULL,
    -  multiseason = NULL,
    -  f_col = NULL,
    -  f_ex = NULL,
    -  multi_init = NULL,
    -  f_auto = NULL,
    -  augmented = FALSE,
    -  threads = NULL,
    -  ...
    -)
    -
    - -
    -

    Arguments

    -
    f_occ
    -

    A brms-type model formula for occupancy. If provided, must begin -with "~".

    - - -
    f_det
    -

    A brms-type model formula for detection. Must begin with "~". -OR, a brmsformula object including formulas for all of the relevant -distributional parameters in the desired model (det and at least one of occ, -colo, ex, autologistic, and Omega). The $formula element of the -brmsformula must be the detection formula, beginning with det ~. -This latter option unadvisable except when necessary (e.g. when a nonlinear -formula is desired), as input checking is less thorough.

    - - -
    flocker_data
    -

    data, generally the output of make_flocker_data().

    - - -
    data2
    -

    additional data (e.g. a covariance matrix for a phylogenetic -effect)

    - - -
    multiseason
    -

    Must be NULL (the default) or one of "colex" or -"autologistic". If NULL, data must be formatted for a single-season model. -Otherwise, the data must be formatted for a multiseason model. If "colex", a -colonization-extinction model will be fit, and `f_col` and `f_ex` must be -specified. If "autologistic", an autologistic model will be fit, and `f_col` -and `f_ex` must both be NULL.

    - - -
    f_col
    -

    A brms-type model formula for colonization in -colonization-extinction dynamic models. If provided, must begin with "~".

    - - -
    f_ex
    -

    A brms-type model formula for extinction probabilities in -colonization-extinction dynamic models. If provided, must begin with "~".

    - - -
    multi_init
    -

    Must be NULL unless the model is a dynamic (multiseason) -model, in which case must be either "explicit" or "equilibrium". -If "explicit", then `f_occ` must be provided to model occupancy -probabilities in the first timestep. If "equilibrium", then `f_occ` must be -`NULL` and the initial occupancy probabilities are assumed to be the -(possibly site-specific) equilibrium probabilities from the colonization- -extinction dynamics.

    - - -
    f_auto
    -

    Relevant only for autologistic models. A brms-type model -formula for the autologistic offset parameter (theta). If provided, must -begin with "~".

    - - -
    augmented
    -

    Logical. Must be TRUE if data are formatted for a -data-augmented multi-species model, and FALSE otherwise.

    - - -
    threads
    -

    NULL or positive integer. If integer, the number of threads -to use per chain in within chain parallelization. Currently available only -with single-season rep-constant models, and must be set to NULL otherwise.

    - - -
    ...
    -

    additional arguments passed to brms::brm()

    - -
    - -
    -

    Examples

    -
    if (FALSE) {
    -fd <- make_flocker_data(
    - example_flocker_data$obs, 
    - example_flocker_data$unit_covs,
    - example_flocker_data$event_covs
    -)
    -flocker_standata(f_occ = ~ uc1 + s(uc2) + (1|grp),
    -          f_det = ~ uc1 + ec1 + s(ec2) + (1|grp),
    -          flocker_data = fd,
    -          refresh = 50, chains = 1, warmup = 5, iter = 200,
    -          adapt_engaged = F, step_size = .05, max_treedepth = 5, seed = 123,
    -          backend = "cmdstanr")
    -}
    -
    -
    -
    - -
    - - -
    - -
    -

    Site built with pkgdown 2.0.7.

    -
    - -
    - - - - - - - - diff --git a/docs/reference/formula_error.html b/docs/reference/formula_error.html deleted file mode 100644 index db21a28..0000000 --- a/docs/reference/formula_error.html +++ /dev/null @@ -1,111 +0,0 @@ - -Create error message for formula with incorrect syntax — formula_error • flocker - - -
    -
    - - - -
    -
    - - -
    -

    Create error message for formula with incorrect syntax

    -
    - -
    -
    formula_error(form)
    -
    - -
    -

    Arguments

    -
    form
    -

    string giving name of formula

    - -
    -
    -

    Value

    - - -

    string giving text of error

    -
    - -
    - -
    - - -
    - -
    -

    Site built with pkgdown 2.0.7.

    -
    - -
    - - - - - - - - diff --git a/docs/reference/forward_algorithm.html b/docs/reference/forward_algorithm.html deleted file mode 100644 index b47ed69..0000000 --- a/docs/reference/forward_algorithm.html +++ /dev/null @@ -1,128 +0,0 @@ - -Forward algorithm — forward_algorithm • flocker - - -
    -
    - - - -
    -
    - - -
    -

    Forward algorithm

    -
    - -
    -
    forward_algorithm(el0, el1, init, colo, ex)
    -
    - -
    -

    Arguments

    -
    el0
    -

    the emission probabilities given non-occupancy

    - - -
    el1
    -

    the emission probabilities given occupancy

    - - -
    init
    -

    the initial occupancy probability

    - - -
    colo
    -

    a vector giving the colonization probs

    - - -
    ex
    -

    a vector giving the extinction probs

    - -
    -
    -

    Value

    - - -

    an n x 2 matrix giving the forward probabilities associated with - non-occupancy (first column) and occupancy (second column)

    -
    - -
    - -
    - - -
    - -
    -

    Site built with pkgdown 2.0.7.

    -
    - -
    - - - - - - - - diff --git a/docs/reference/forward_backward_algorithm.html b/docs/reference/forward_backward_algorithm.html deleted file mode 100644 index b7adcf0..0000000 --- a/docs/reference/forward_backward_algorithm.html +++ /dev/null @@ -1,127 +0,0 @@ - -forward backward algorithm — forward_backward_algorithm • flocker - - -
    -
    - - - -
    -
    - - -
    -

    forward backward algorithm

    -
    - -
    -
    forward_backward_algorithm(el0, el1, init, colo, ex)
    -
    - -
    -

    Arguments

    -
    el0
    -

    the emission probabilities given non-occupancy

    - - -
    el1
    -

    the emission probabilities given occupancy

    - - -
    init
    -

    the initial occupancy probability

    - - -
    colo
    -

    a vector giving the colonization probs

    - - -
    ex
    -

    a vector giving the extinction probs

    - -
    -
    -

    Value

    - - -

    a vector of posterior Z probabilities

    -
    - -
    - -
    - - -
    - -
    -

    Site built with pkgdown 2.0.7.

    -
    - -
    - - - - - - - - diff --git a/docs/reference/forward_backward_sampling.html b/docs/reference/forward_backward_sampling.html deleted file mode 100644 index b9d7dee..0000000 --- a/docs/reference/forward_backward_sampling.html +++ /dev/null @@ -1,121 +0,0 @@ - -Forward filtering backward sampling algorithm — forward_backward_sampling • flocker - - -
    -
    - - - -
    -
    - - -
    -

    Forward filtering backward sampling algorithm

    -
    - -
    -
    forward_backward_sampling(el0, el1, init, colo, ex)
    -
    - -
    -

    Arguments

    -
    el0
    -

    the emission probabilities given non-occupancy

    - - -
    el1
    -

    the emission probabilities given occupancy

    - - -
    init
    -

    the initial occupancy probability

    - - -
    colo
    -

    a vector giving the colonization probs

    - - -
    ex
    -

    a vector giving the extinction probs

    - -
    - -
    - -
    - - -
    - -
    -

    Site built with pkgdown 2.0.7.

    -
    - -
    - - - - - - - - diff --git a/docs/reference/forward_sim.html b/docs/reference/forward_sim.html deleted file mode 100644 index 6483a91..0000000 --- a/docs/reference/forward_sim.html +++ /dev/null @@ -1,124 +0,0 @@ - -Forward simulation for a dynamic model — forward_sim • flocker - - -
    -
    - - - -
    -
    - - -
    -

    Forward simulation for a dynamic model

    -
    - -
    -
    forward_sim(init, colo, ex, sample = FALSE)
    -
    - -
    -

    Arguments

    -
    init
    -

    initial occupancy probability

    - - -
    colo
    -

    vector of colonization probabilities

    - - -
    ex
    -

    vector of extinction probabilities

    - - -
    sample
    -

    Should the return be posterior probabilities of occupancy (FALSE), -valid posterior predictive samples (TRUE)

    - -
    -
    -

    Value

    - - -

    vector of occupancy probabilities or posterior predictive samples

    -
    - -
    - -
    - - -
    - -
    -

    Site built with pkgdown 2.0.7.

    -
    - -
    - - - - - - - - diff --git a/docs/reference/get_Z.html b/docs/reference/get_Z.html deleted file mode 100644 index 5b59b87..0000000 --- a/docs/reference/get_Z.html +++ /dev/null @@ -1,165 +0,0 @@ - -Get posterior distribution of the Z matrix — get_Z • flocker - - -
    -
    - - - -
    -
    - - -
    -

    Get posterior distribution of the Z matrix

    -
    - -
    -
    get_Z(
    -  flocker_fit,
    -  draw_ids = NULL,
    -  history_condition = TRUE,
    -  sample = FALSE,
    -  new_data = NULL,
    -  allow_new_levels = FALSE,
    -  sample_new_levels = "uncertainty"
    -)
    -
    - -
    -

    Arguments

    -
    flocker_fit
    -

    A flocker_fit object

    - - -
    draw_ids
    -

    Vector of indices of the posterior draws to be -used. If `NULL` (the default) all draws are used in their native order.

    - - -
    history_condition
    -

    Should the posterior distribution for Z directly -condition on the observed detection history (`TRUE`) or not (`FALSE`)? -For example, at sites with at least one detection, the true occupancy -state conditioned on the history is one with absolute certainty. Without -directly conditioning on the history, the occupancy state is controlled -by the posterior distribution for the occupancy probability psi.

    - - -
    sample
    -

    Should the return be posterior probabilities of occupancy (FALSE), -or bernoulli samples from those probabilities (TRUE)

    - - -
    new_data
    -

    Optional new data at which to predict the Z matrix. Can be -the output of `make_flocker_data` or the `unit_covs` input to -`make_flocker_data` provided that `history_condition` is `FALSE` and the -occupancy model is for a single season.

    - - -
    allow_new_levels
    -

    allow new levels for random effect terms in `new_data`? -Will error if set to `FALSE` and new levels are provided in `new_data`.

    - - -
    sample_new_levels
    -

    If `new_data` is provided and contains random effect -levels not present in the original data, how should predictions be -handled? Passed directly to `brms::prepare_predictions`, which see.

    - -
    -
    -

    Value

    - - -

    The posterior Z matrix in the shape of the first visit in `obs` as - passed to make_flocker_data, with posterior iterations stacked along the - final dimension

    -
    - -
    -

    Examples

    -
    if (FALSE) {
    -get_Z(example_flocker_model_single)
    -}
    -
    -
    -
    - -
    - - -
    - -
    -

    Site built with pkgdown 2.0.7.

    -
    - -
    - - - - - - - - diff --git a/docs/reference/get_Z_augmented.html b/docs/reference/get_Z_augmented.html deleted file mode 100644 index ea6a91f..0000000 --- a/docs/reference/get_Z_augmented.html +++ /dev/null @@ -1,124 +0,0 @@ - -get Z matrix for data-augmented model — get_Z_augmented • flocker - - -
    -
    - - - -
    -
    - - -
    -

    get Z matrix for data-augmented model

    -
    - -
    -
    get_Z_augmented(lps, sample, history_condition, obs = NULL)
    -
    - -
    -

    Arguments

    -
    lps
    -

    the linear predictors from the model

    - - -
    sample
    -

    logical: return fitted probabilities or bernoulli samples

    - - -
    history_condition
    -

    logical: condition on the observed history?

    - - -
    obs
    -

    if history_condition is true, the observed histories

    - -
    -
    -

    Value

    - - -

    an array of fitted Z probabilities or sampled Z values. Rows are - units and columns are posterior iterations.

    -
    - -
    - -
    - - -
    - -
    -

    Site built with pkgdown 2.0.7.

    -
    - -
    - - - - - - - - diff --git a/docs/reference/get_Z_dynamic.html b/docs/reference/get_Z_dynamic.html deleted file mode 100644 index 827de4d..0000000 --- a/docs/reference/get_Z_dynamic.html +++ /dev/null @@ -1,156 +0,0 @@ - -get Z matrix for dynamic model — get_Z_dynamic • flocker - - -
    -
    - - - -
    -
    - - -
    -

    get Z matrix for dynamic model

    -
    - -
    -
    get_Z_dynamic(
    -  init,
    -  colo,
    -  ex,
    -  history_condition,
    -  sample,
    -  obs = NULL,
    -  det = NULL
    -)
    -
    - -
    -

    Arguments

    -
    init
    -

    matrix of initial occupancy probabilities (rows are sites and -columns are draws)

    - - -
    colo
    -

    array of colonization probabilities (rows are sites, columns are -timesteps, slices are draws)

    - - -
    ex
    -

    array of extinction probabilities (rows are sites, columns are -timesteps, slices are draws)

    - - -
    history_condition
    -

    should we condition on the observed history

    - - -
    sample
    -

    Should the return be posterior probabilities of occupancy (FALSE), -valid posterior predictive samples (TRUE).

    - - -
    obs
    -

    Array of observations. Must be NULL if history_condition -is FALSE. Rows are sites, columns are visits, and slices are timesteps.

    - - -
    det
    -

    Array of detection probabilities. Ignored (and defaults to NULL) if -history_condition is FALSE. Rows are sites, columns are visits, slices -are timesteps, and slice_2s are draws.

    - -
    -
    -

    Value

    - - -

    an array of occupancy probabilities or Z samples. Rows are sites, - columns are timesteps, and slices are draws.

    -
    -
    -

    Details

    -

    History-conditioning is via the forward-backward algorithm (forward- - filtering-backward-sampling when sample is TRUE)

    -
    - -
    - -
    - - -
    - -
    -

    Site built with pkgdown 2.0.7.

    -
    - -
    - - - - - - - - diff --git a/docs/reference/get_Z_single.html b/docs/reference/get_Z_single.html deleted file mode 100644 index 6e891b3..0000000 --- a/docs/reference/get_Z_single.html +++ /dev/null @@ -1,124 +0,0 @@ - -get Z matrix for single-season model — get_Z_single • flocker - - -
    -
    - - - -
    -
    - - -
    -

    get Z matrix for single-season model

    -
    - -
    -
    get_Z_single(lps, sample, history_condition, obs = NULL)
    -
    - -
    -

    Arguments

    -
    lps
    -

    the linear predictors from the model

    - - -
    sample
    -

    logical: return fitted probabilities or bernoulli samples

    - - -
    history_condition
    -

    logical: condition on the observed history?

    - - -
    obs
    -

    if history_condition is true, the observed histories

    - -
    -
    -

    Value

    - - -

    a matrix of fitted Z probabilities or sampled Z values. Rows are - units and columns are posterior iterations.

    -
    - -
    - -
    - - -
    - -
    -

    Site built with pkgdown 2.0.7.

    -
    - -
    - - - - - - - - diff --git a/docs/reference/get_Z_single_C.html b/docs/reference/get_Z_single_C.html deleted file mode 100644 index adbdef0..0000000 --- a/docs/reference/get_Z_single_C.html +++ /dev/null @@ -1,124 +0,0 @@ - -get Z matrix for single-season rep-constant model — get_Z_single_C • flocker - - -
    -
    - - - -
    -
    - - -
    -

    get Z matrix for single-season rep-constant model

    -
    - -
    -
    get_Z_single_C(lps, sample, history_condition, obs = NULL)
    -
    - -
    -

    Arguments

    -
    lps
    -

    the linear predictors from the model

    - - -
    sample
    -

    logical: return fitted probabilities or bernoulli samples

    - - -
    history_condition
    -

    logical: condition on the observed history?

    - - -
    obs
    -

    if history_condition is true, the observed histories

    - -
    -
    -

    Value

    - - -

    a matrix of fitted Z probabilities or sampled Z values. Rows are - units and columns are posterior iterations.

    -
    - -
    - -
    - - -
    - -
    -

    Site built with pkgdown 2.0.7.

    -
    - -
    - - - - - - - - diff --git a/docs/reference/get_flocker_prior.html b/docs/reference/get_flocker_prior.html deleted file mode 100644 index 58d4e53..0000000 --- a/docs/reference/get_flocker_prior.html +++ /dev/null @@ -1,212 +0,0 @@ - -Get prior for occupancy model — get_flocker_prior • flocker - - -
    -
    - - - -
    -
    - - -
    -

    Get prior for occupancy model

    -
    - -
    -
    get_flocker_prior(
    -  f_occ = NULL,
    -  f_det,
    -  flocker_data,
    -  data2 = NULL,
    -  multiseason = NULL,
    -  f_col = NULL,
    -  f_ex = NULL,
    -  multi_init = NULL,
    -  f_auto = NULL,
    -  augmented = FALSE,
    -  threads = NULL,
    -  ...
    -)
    -
    - -
    -

    Arguments

    -
    f_occ
    -

    A brms-type model formula for occupancy. If provided, must begin -with "~".

    - - -
    f_det
    -

    A brms-type model formula for detection. Must begin with "~". -OR, a brmsformula object including formulas for all of the relevant -distributional parameters in the desired model (det and at least one of occ, -colo, ex, autologistic, and Omega). The $formula element of the -brmsformula must be the detection formula, beginning with det ~. -This latter option unadvisable except when necessary (e.g. when a nonlinear -formula is desired), as input checking is less thorough.

    - - -
    flocker_data
    -

    data, generally the output of make_flocker_data().

    - - -
    data2
    -

    additional data (e.g. a covariance matrix for a phylogenetic -effect)

    - - -
    multiseason
    -

    Must be NULL (the default) or one of "colex" or -"autologistic". If NULL, data must be formatted for a single-season model. -Otherwise, the data must be formatted for a multiseason model. If "colex", a -colonization-extinction model will be fit, and `f_col` and `f_ex` must be -specified. If "autologistic", an autologistic model will be fit, and `f_col` -and `f_ex` must both be NULL.

    - - -
    f_col
    -

    A brms-type model formula for colonization in -colonization-extinction dynamic models. If provided, must begin with "~".

    - - -
    f_ex
    -

    A brms-type model formula for extinction probabilities in -colonization-extinction dynamic models. If provided, must begin with "~".

    - - -
    multi_init
    -

    Must be NULL unless the model is a dynamic (multiseason) -model, in which case must be either "explicit" or "equilibrium". -If "explicit", then `f_occ` must be provided to model occupancy -probabilities in the first timestep. If "equilibrium", then `f_occ` must be -`NULL` and the initial occupancy probabilities are assumed to be the -(possibly site-specific) equilibrium probabilities from the colonization- -extinction dynamics.

    - - -
    f_auto
    -

    Relevant only for autologistic models. A brms-type model -formula for the autologistic offset parameter (theta). If provided, must -begin with "~".

    - - -
    augmented
    -

    Logical. Must be TRUE if data are formatted for a -data-augmented multi-species model, and FALSE otherwise.

    - - -
    threads
    -

    NULL or positive integer. If integer, the number of threads -to use per chain in within chain parallelization. Currently available only -with single-season rep-constant models, and must be set to NULL otherwise.

    - - -
    ...
    -

    additional arguments passed to brms::brm()

    - -
    -
    -

    Value

    - - -

    A dataframe summarizing the parameters on which priors can - be specified and giving the default priors for those parameters. - See ?brms::get_prior for further details.

    -
    - -
    -

    Examples

    -
    if (FALSE) {
    -fd <- make_flocker_data(
    - example_flocker_data$obs, 
    - example_flocker_data$unit_covs,
    - example_flocker_data$event_covs
    -)
    -get_flocker_prior(
    - f_occ = ~ uc1 + + (1|grp),
    - f_det = ~ uc1 + ec1 + (1|grp),
    - flocker_data = fd
    -)
    -}
    -
    -
    -
    - -
    - - -
    - -
    -

    Site built with pkgdown 2.0.7.

    -
    - -
    - - - - - - - - diff --git a/docs/reference/get_positions.html b/docs/reference/get_positions.html deleted file mode 100644 index 2dd4427..0000000 --- a/docs/reference/get_positions.html +++ /dev/null @@ -1,131 +0,0 @@ - -Get a matrix/array of row numbers from flocker_data$data in the shape of obs — get_positions • flocker - - -
    -
    - - - -
    -
    - - -
    -

    Get a matrix/array of row numbers from flocker_data$data in the shape of obs

    -
    - -
    -
    get_positions(data_object, unit_level = FALSE)
    -
    - -
    -

    Arguments

    -
    data_object
    -

    a flocker_fit object or a flocker_data object

    - - -
    unit_level
    -

    logical. If `FALSE`, returns values associated with each visit -in the shape of obs, with NAs for visits that did not occur. -If `TRUE`, returns values associated with each unit in the shape of -the slice of obs corresponding to the first visit. This is relevant in -multiseason models, where it is possible to have units (i.e. timesteps) -that are part of the timeseries and have linear predictors for colonization -etc, but that received no visits. These units are dropped from the -formatted data if they are trailing (at the end of the series) but must be -included otherwise. If `TRUE`, the return will have NAs for the trailing -units that are dropped, but will have row-numbers representing the rows -giving the unit covariates for the never-visited units if the timesteps are -not trailing.

    - -
    -
    -

    Value

    - - -

    a matrix/array of the same shape as the observations passed to - `make_flocker_data` (for an augmented model, in the shape of the augmented - data created after augmentation) where each element gives the row number in - flocker_data$data where the corresponding element resides. If the data - were formatted for a data-augmented model, the returned array will have - extra slices for all of the augmented species.

    -
    - -
    - -
    - - -
    - -
    -

    Site built with pkgdown 2.0.7.

    -
    - -
    - - - - - - - - diff --git a/docs/reference/index.html b/docs/reference/index.html deleted file mode 100644 index 5ca72e8..0000000 --- a/docs/reference/index.html +++ /dev/null @@ -1,531 +0,0 @@ - -Function reference • flocker - - -
    -
    - - - -
    -
    - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -

    All functions

    -

    -
    -

    Z_from_emission()

    -

    get Z given emission likelihoods and state probability

    -

    backward_algorithm()

    -

    Backward algorithm

    -

    emission_likelihood()

    -

    Get emission likelihoods given observations and detection probabilities

    -

    example_flocker_data

    -

    Example flocker data

    -

    example_flocker_model_aug

    -

    Example data-augmented flocker model

    -

    example_flocker_model_multi_auto_eq

    -

    Example multi-season flocker model (autologistic equilibrium)

    -

    example_flocker_model_multi_auto_ex

    -

    Example multi-season flocker model (autologistic explicit)

    -

    example_flocker_model_multi_colex_eq

    -

    Example multi-season flocker model (colex equilibirum)

    -

    example_flocker_model_multi_colex_ex

    -

    Example multi-season flocker model (colex explicit)

    -

    example_flocker_model_single

    -

    Example single-season flocker model

    -

    example_flocker_model_single_C

    -

    Example single-season rep-constant flocker model

    -

    expand_array_3D()

    -

    convert array to long matrix format

    -

    expand_matrix()

    -

    convert matrix-like object to long vector format

    -

    extended_binomial_rng()

    -

    extended binomial RNG

    -

    fdtl()

    -

    flocker data type lookup

    -

    fitted_flocker()

    -

    Posterior predictive distributions for modeled probabilities

    -

    flock()

    -

    Fit an occupancy model

    -

    flock_()

    -

    Fit an occupancy model, or generate Stan code/data for a model, or get the prior -for a model

    -

    flocker_col_names()

    -

    column names created in flocker

    -

    flocker_data_input_types()

    -

    Options for the type argument to make_flocker_data.

    -

    flocker_data_output_types()

    -

    Data types that can be returned by make_flocker_data.

    -

    flocker_fit_code_util()

    -

    Either fit a flocker model or output stancode or output standata

    -

    flocker_model_types()

    -

    Model types in flocker as outputted by `flock`

    -

    flocker_reserved()

    -

    Reserved names in flocker

    -

    flocker_stancode()

    -

    Generate stan code for an occupancy model

    -

    flocker_standata()

    -

    Generate stan data for an occupancy model

    -

    formula_error()

    -

    Create error message for formula with incorrect syntax

    -

    forward_algorithm()

    -

    Forward algorithm

    -

    forward_backward_algorithm()

    -

    forward backward algorithm

    -

    forward_backward_sampling()

    -

    Forward filtering backward sampling algorithm

    -

    forward_sim()

    -

    Forward simulation for a dynamic model

    -

    get_Z()

    -

    Get posterior distribution of the Z matrix

    -

    get_Z_augmented()

    -

    get Z matrix for data-augmented model

    -

    get_Z_dynamic()

    -

    get Z matrix for dynamic model

    -

    get_Z_single()

    -

    get Z matrix for single-season model

    -

    get_Z_single_C()

    -

    get Z matrix for single-season rep-constant model

    -

    get_flocker_prior()

    -

    Get prior for occupancy model

    -

    get_positions()

    -

    Get a matrix/array of row numbers from flocker_data$data in the shape of obs

    -

    is_flocker_data()

    -

    check that object is a flocker data object

    -

    is_flocker_fit()

    -

    Test whether an object is of class flocker_fit

    -

    is_flocker_formula()

    -

    check that object is a valid flocker formula

    -

    is_formula()

    -

    check that object is a formula

    -

    is_named_list()

    -

    check that object is a named list with no duplicate names

    -

    is_one_logical()

    -

    check if an object is a single logical value

    -

    is_one_pos_int()

    -

    check if an object is a single integer (or integerish) > m

    -

    log1m_inv_logit()

    -

    Numerically stable log one-minus inverse logit

    -

    log_inv_logit()

    -

    Numerically stable log inverse logit

    -

    log_lik_dynamic()

    -

    log_lik_dynamic

    -

    log_lik_flocker()

    -

    Compute unit-wise or series-wise log-likelihood matrix for a flocker_fit object

    -

    log_lik_occupancy_single_C()

    -

    A log-likelihood function for the rep-constant occupancy model, sufficient for -brms::loo(vc_fit) to work.

    -

    loo_compare_flocker()

    -

    LOO comparisons for flocker models.

    -

    loo_flocker()

    -

    Compute loo for flocker_fit objects

    -

    loo_flocker_onefit()

    -

    Compute loo for a single flocker_fit object

    -

    make_colex_likelihoods()

    -

    Create Stan code for transition log-likelihoods in colex model. -These likelihoods ignore disallowed possibilities (detections on unoccupied -units); such possibilities are excluded via the control flow in the -implementation of the forward algorithm.

    -

    make_emission_1()

    -

    Create Stan code for the emission log-likelihood given that the true state - equals one in a rep-varying model.

    -

    make_emission_1_C()

    -

    Create Stan code for the emission log-likelihood given that the true state - equals one in a rep-constant model.

    -

    make_flocker_data()

    -

    Format data for occupancy model with flock().

    -

    make_flocker_data_augmented()

    -

    #' Format data for data-augmented occupancy model, to be passed to - flock().

    -

    make_flocker_data_dynamic()

    -

    Format data for dynamic (multi-season) occupancy model, to be passed to - flock().

    -

    make_flocker_data_static()

    -

    Format data for single-season occupancy model, to be passed to - flock().

    -

    make_forward_colex()

    -

    Create Stan code for forward_colex function, an implementation of the - forward algorithm for use in colex models.

    -

    make_occupancy_augmented_lpmf()

    -

    Create Stan code for likelihood function occupancy_augmented_lpmf for -rep-varying model.

    -

    make_occupancy_multi_autologistic_eq_lpmf()

    -

    Create Stan code for likelihood function occupancy_multi_autologistic_eq_lpmf.

    -

    make_occupancy_multi_autologistic_lpmf()

    -

    Create Stan code for likelihood function occupancy_multi_autologistic_lpmf.

    -

    make_occupancy_multi_colex_eq_lpmf()

    -

    Create Stan code for likelihood function occupancy_multi_colex_eq_lpmf.

    -

    make_occupancy_multi_colex_lpmf()

    -

    Create Stan code for likelihood function occupancy_multi_colex_lpmf.

    -

    make_occupancy_single_C_lpmf()

    -

    Create Stan code for likelihood function occupancy_single_C_lpmf. -The purpose of defining this custom family, rather than using brms's zero-inflated -binomial, is to ensure that the occupancy parameters are interpretable with -values of 1 in the marginalized state reflecting occupancy rather than non- -occupancy.

    -

    make_occupancy_single_lpmf()

    -

    Create Stan code for likelihood function occupancy_single_lpmf.

    -

    make_occupancy_single_partial_sum()

    -

    Create Stan code for likelihood function occupancy_single_lpmf.

    -

    max_position_not_na()

    -

    get largest index in a vector that is not NA

    -

    multi_init_types()

    -

    possible values for the `multi_init` parameter if not NULL

    -

    multi_types()

    -

    flocker_data_output_types valid for use with colex models

    -

    new_array()

    -

    create a new array with the dimensions of an old array

    -

    new_matrix()

    -

    create a new matrix with the dimensions of an old matrix

    -

    nslice()

    -

    Get third dimension of a 3D array

    -

    occupancy_augmented()

    -

    Define the rep-varying augmented occupancy family

    -

    occupancy_multi_autologistic()

    -

    Define the autologistic family

    -

    occupancy_multi_autologistic_eq()

    -

    Define the autologistic_eq family

    -

    occupancy_multi_colex()

    -

    Define the colonization-extinction family

    -

    occupancy_multi_colex_eq()

    -

    Define the colonization-extinction equilibrium family

    -

    occupancy_single()

    -

    Define the rep-varying occupancy family

    -

    occupancy_single_C()

    -

    Define the rep-constant occupancy family

    -

    occupancy_single_C_lpmf()

    -

    An R implementation of the rep constant lpmf without the binomial coefficient.

    -

    occupancy_single_C_lpmf_with_coef()

    -

    An R implementation of occupancy_C_lpmf including the binomial coefficient. -Not currently in use.

    -

    occupancy_single_threaded()

    -

    Define the rep-varying occupancy family with threading

    -

    params_by_type

    -

    A list of distributional parameters by model type

    -

    predict_flocker()

    -

    Get posterior predictions from a flocker model

    -

    remove_rownames()

    -

    remove rownames

    -

    rep_constant_types()

    -

    flocker_data_output_types that yield rep-constant models

    -

    reshape_fun()

    -

    reshape a matrix of values into a stack of arrays via get_positions

    -

    sfd()

    -

    util for creating example data

    -

    shared_elements()

    -

    get shared elements between two vectors

    -

    simulate_flocker_data()

    -

    Simulate data for use with make_flocker_data() and downstream -functions.

    -

    stack_matrix()

    -

    rbind a matrix or dataframe to itself n times

    -

    summarise_fun()

    -

    summarize matrix of linear predictors to its mean and CI

    -

    threading_types()

    -

    flocker_data_output_types valid for use with threading

    -

    type_flocker_fit()

    -

    Extract lik_type from object of class flocker_fit

    -

    validate_flock_params()

    -

    Check validity of params passed to `flock`

    -

    validate_param_combos_augmented()

    -

    Check validity of params passed to `flock` if `type` is `augmented`

    -

    validate_param_combos_multi()

    -

    Check validity of params passed to `flock` if `type` is `multi`

    -

    validate_param_combos_single()

    -

    Check validity of params passed to `flock` if `type` is `single`

    -

    validate_param_combos_single_C()

    -

    Check validity of params passed to `flock` if `type` is `single_C`

    -

    validate_param_combos_single_generic()

    -

    Check validity of some params passed to flock if `type` is `single` or `single_C`

    -

    validate_params_individually()

    -

    Check individual validity of params passed to `flock`

    -

    validate_unit_formula_variables()

    -

    Check that no event covariates are used in unit formulas

    - - -
    - - -
    - -
    -

    Site built with pkgdown 2.0.7.

    -
    - -
    - - - - - - - - diff --git a/docs/reference/is_flocker_data.html b/docs/reference/is_flocker_data.html deleted file mode 100644 index 887a13d..0000000 --- a/docs/reference/is_flocker_data.html +++ /dev/null @@ -1,111 +0,0 @@ - -check that object is a flocker data object — is_flocker_data • flocker - - -
    -
    - - - -
    -
    - - -
    -

    check that object is a flocker data object

    -
    - -
    -
    is_flocker_data(x)
    -
    - -
    -

    Arguments

    -
    x
    -

    object to test

    - -
    -
    -

    Value

    - - -

    logical; TRUE if x is a flocker data object

    -
    - -
    - -
    - - -
    - -
    -

    Site built with pkgdown 2.0.7.

    -
    - -
    - - - - - - - - diff --git a/docs/reference/is_flocker_fit.html b/docs/reference/is_flocker_fit.html deleted file mode 100644 index dca688f..0000000 --- a/docs/reference/is_flocker_fit.html +++ /dev/null @@ -1,111 +0,0 @@ - -Test whether an object is of class flocker_fit — is_flocker_fit • flocker - - -
    -
    - - - -
    -
    - - -
    -

    Test whether an object is of class flocker_fit

    -
    - -
    -
    is_flocker_fit(x)
    -
    - -
    -

    Arguments

    -
    x
    -

    object to be tested

    - -
    -
    -

    Value

    - - -

    logical

    -
    - -
    - -
    - - -
    - -
    -

    Site built with pkgdown 2.0.7.

    -
    - -
    - - - - - - - - diff --git a/docs/reference/is_flocker_formula.html b/docs/reference/is_flocker_formula.html deleted file mode 100644 index 64d35c9..0000000 --- a/docs/reference/is_flocker_formula.html +++ /dev/null @@ -1,111 +0,0 @@ - -check that object is a valid flocker formula — is_flocker_formula • flocker - - -
    -
    - - - -
    -
    - - -
    -

    check that object is a valid flocker formula

    -
    - -
    -
    is_flocker_formula(x)
    -
    - -
    -

    Arguments

    -
    x
    -

    object to test

    - -
    -
    -

    Value

    - - -

    logical; TRUE if x is a valid flocker formula

    -
    - -
    - -
    - - -
    - -
    -

    Site built with pkgdown 2.0.7.

    -
    - -
    - - - - - - - - diff --git a/docs/reference/is_formula.html b/docs/reference/is_formula.html deleted file mode 100644 index 175a230..0000000 --- a/docs/reference/is_formula.html +++ /dev/null @@ -1,111 +0,0 @@ - -check that object is a formula — is_formula • flocker - - -
    -
    - - - -
    -
    - - -
    -

    check that object is a formula

    -
    - -
    -
    is_formula(x)
    -
    - -
    -

    Arguments

    -
    x
    -

    object to test

    - -
    -
    -

    Value

    - - -

    logical; TRUE if x is a formula

    -
    - -
    - -
    - - -
    - -
    -

    Site built with pkgdown 2.0.7.

    -
    - -
    - - - - - - - - diff --git a/docs/reference/is_named_list.html b/docs/reference/is_named_list.html deleted file mode 100644 index b59f164..0000000 --- a/docs/reference/is_named_list.html +++ /dev/null @@ -1,111 +0,0 @@ - -check that object is a named list with no duplicate names — is_named_list • flocker - - -
    -
    - - - -
    -
    - - -
    -

    check that object is a named list with no duplicate names

    -
    - -
    -
    is_named_list(x)
    -
    - -
    -

    Arguments

    -
    x
    -

    object to test

    - -
    -
    -

    Value

    - - -

    logical; TRUE if x is a named list with no duplicate names

    -
    - -
    - -
    - - -
    - -
    -

    Site built with pkgdown 2.0.7.

    -
    - -
    - - - - - - - - diff --git a/docs/reference/is_one_logical.html b/docs/reference/is_one_logical.html deleted file mode 100644 index aca0c32..0000000 --- a/docs/reference/is_one_logical.html +++ /dev/null @@ -1,111 +0,0 @@ - -check if an object is a single logical value — is_one_logical • flocker - - -
    -
    - - - -
    -
    - - -
    -

    check if an object is a single logical value

    -
    - -
    -
    is_one_logical(x)
    -
    - -
    -

    Arguments

    -
    x
    -

    object to test

    - -
    -
    -

    Value

    - - -

    logical; TRUE if x is a single logical value

    -
    - -
    - -
    - - -
    - -
    -

    Site built with pkgdown 2.0.7.

    -
    - -
    - - - - - - - - diff --git a/docs/reference/is_one_pos_int.html b/docs/reference/is_one_pos_int.html deleted file mode 100644 index 6bec9bd..0000000 --- a/docs/reference/is_one_pos_int.html +++ /dev/null @@ -1,115 +0,0 @@ - -check if an object is a single integer (or integerish) > m — is_one_pos_int • flocker - - -
    -
    - - - -
    -
    - - -
    -

    check if an object is a single integer (or integerish) > m

    -
    - -
    -
    is_one_pos_int(x, m = 0)
    -
    - -
    -

    Arguments

    -
    x
    -

    object to test

    - - -
    m
    -

    minimum value for x

    - -
    -
    -

    Value

    - - -

    logical; TRUE if x is a single positive integer

    -
    - -
    - -
    - - -
    - -
    -

    Site built with pkgdown 2.0.7.

    -
    - -
    - - - - - - - - diff --git a/docs/reference/log1m_inv_logit.html b/docs/reference/log1m_inv_logit.html deleted file mode 100644 index e2c074e..0000000 --- a/docs/reference/log1m_inv_logit.html +++ /dev/null @@ -1,117 +0,0 @@ - -Numerically stable log one-minus inverse logit — log1m_inv_logit • flocker - - -
    -
    - - - -
    -
    - - -
    -

    Numerically stable log one-minus inverse logit

    -
    - -
    -
    log1m_inv_logit(x)
    -
    - -
    -

    Arguments

    -
    x
    -

    real number or vector of reals

    - -
    -
    -

    Value

    - - -

    the logarithm of one minus the inverse logit of x

    -
    - -
    -

    Examples

    -
    log1m_inv_logit(0)
    -#> [1] -0.6931472
    -
    -
    -
    - -
    - - -
    - -
    -

    Site built with pkgdown 2.0.7.

    -
    - -
    - - - - - - - - diff --git a/docs/reference/log_inv_logit.html b/docs/reference/log_inv_logit.html deleted file mode 100644 index c579a01..0000000 --- a/docs/reference/log_inv_logit.html +++ /dev/null @@ -1,117 +0,0 @@ - -Numerically stable log inverse logit — log_inv_logit • flocker - - -
    -
    - - - -
    -
    - - -
    -

    Numerically stable log inverse logit

    -
    - -
    -
    log_inv_logit(x)
    -
    - -
    -

    Arguments

    -
    x
    -

    real number or vector of reals

    - -
    -
    -

    Value

    - - -

    the logarithm of the inverse logit of x

    -
    - -
    -

    Examples

    -
    log_inv_logit(0)
    -#> [1] -0.6931472
    -
    -
    -
    - -
    - - -
    - -
    -

    Site built with pkgdown 2.0.7.

    -
    - -
    - - - - - - - - diff --git a/docs/reference/log_lik_dynamic.html b/docs/reference/log_lik_dynamic.html deleted file mode 100644 index 80704d7..0000000 --- a/docs/reference/log_lik_dynamic.html +++ /dev/null @@ -1,133 +0,0 @@ - -log_lik_dynamic — log_lik_dynamic • flocker - - -
    -
    - - - -
    -
    - - -
    -

    log_lik_dynamic

    -
    - -
    -
    log_lik_dynamic(init, colo, ex, obs, det)
    -
    - -
    -

    Arguments

    -
    init
    -

    matrix of initial occupancy probabilities (rows are series and -columns are draws)

    - - -
    colo
    -

    array of colonization probabilities (rows are series, columns are -timesteps, slices are draws)

    - - -
    ex
    -

    array of extinction probabilities (rows are series, columns are -timesteps, slices are draws)

    - - -
    obs
    -

    Array of observations. Rows are series, columns are visits, and -slices are timesteps.

    - - -
    det
    -

    Array of detection probabilities. Rows are series, columns are -visits, slices are timesteps, and slice_2s are draws.

    - -
    -
    -

    Value

    - - -

    A log-likelihood matrix. Rows are sites, - columns are draws.

    -
    - -
    - -
    - - -
    - -
    -

    Site built with pkgdown 2.0.7.

    -
    - -
    - - - - - - - - diff --git a/docs/reference/log_lik_flocker.html b/docs/reference/log_lik_flocker.html deleted file mode 100644 index 6c6fb92..0000000 --- a/docs/reference/log_lik_flocker.html +++ /dev/null @@ -1,131 +0,0 @@ - -Compute unit-wise or series-wise log-likelihood matrix for a flocker_fit object — log_lik_flocker • flocker - - -
    -
    - - - -
    -
    - - -
    -

    Compute unit-wise or series-wise log-likelihood matrix for a flocker_fit object

    -
    - -
    -
    log_lik_flocker(flocker_fit, draw_ids = NULL)
    -
    - -
    -

    Arguments

    -
    flocker_fit
    -

    A flocker_fit object

    - - -
    draw_ids
    -

    the draw ids to compute log-likelihoods for. Defaults to using the full posterior.

    - -
    -
    -

    Value

    - - -

    A posterior log-likelihood matrix, where iterations are rows and - units, series, or species are columns.

    -
    -
    -

    Details

    -

    In single-season models, rows are units (e.g. points or - species-points; suitable for leave-one-unit-out CV). In multiseason models, - rows are series (i.e. points or species-points, suitable for - leave-one-series-out CV). In augmented models, rows are species (suitable - for leave-one-species-out CV).

    -
    - -
    -

    Examples

    -
    if (FALSE) {
    -log_lik_flocker(example_flocker_model_single)
    -}
    -
    -
    -
    - -
    - - -
    - -
    -

    Site built with pkgdown 2.0.7.

    -
    - -
    - - - - - - - - diff --git a/docs/reference/log_lik_occupancy_single_C.html b/docs/reference/log_lik_occupancy_single_C.html deleted file mode 100644 index 22a6fa8..0000000 --- a/docs/reference/log_lik_occupancy_single_C.html +++ /dev/null @@ -1,122 +0,0 @@ - -A log-likelihood function for the rep-constant occupancy model, sufficient for -brms::loo(vc_fit) to work. — log_lik_occupancy_single_C • flocker - - -
    -
    - - - -
    -
    - - -
    -

    A log-likelihood function for the rep-constant occupancy model, sufficient for -brms::loo(vc_fit) to work.

    -
    - -
    -
    log_lik_occupancy_single_C(i, prep)
    -
    - -
    -

    Arguments

    -
    i
    -

    Posterior iteration

    - - -
    prep
    -

    Output of brms::prepare_predictions. See brms custom families -vignette at -https://cran.r-project.org/web/packages/brms/vignettes/brms_customfamilies.html

    - -
    -
    -

    Value

    - - -

    The log-likelihood for observation i

    -
    - -
    - -
    - - -
    - -
    -

    Site built with pkgdown 2.0.7.

    -
    - -
    - - - - - - - - diff --git a/docs/reference/loo_compare_flocker.html b/docs/reference/loo_compare_flocker.html deleted file mode 100644 index 46a4831..0000000 --- a/docs/reference/loo_compare_flocker.html +++ /dev/null @@ -1,122 +0,0 @@ - -LOO comparisons for flocker models. — loo_compare_flocker • flocker - - -
    -
    - - - -
    -
    - - -
    -

    LOO comparisons for flocker models.

    -
    - -
    -
    loo_compare_flocker(model_list, model_names = NULL, thin = NULL)
    -
    - -
    -

    Arguments

    -
    model_list
    -

    a list of flocker_fit objects.

    - - -
    model_names
    -

    An optional vector of names for the models.

    - - -
    thin
    -

    specify the amount of thinning required. 1 or NULL results in no -thinning, 2 retains every other value, 3 every third, etc.

    - -
    - -
    -

    Examples

    -
    if (FALSE) {
    -ml <- rep(list(example_flocker_model_single), 3)
    -loo_compare_flocker(ml)
    -}
    -
    -
    -
    - -
    - - -
    - -
    -

    Site built with pkgdown 2.0.7.

    -
    - -
    - - - - - - - - diff --git a/docs/reference/loo_flocker.html b/docs/reference/loo_flocker.html deleted file mode 100644 index 3fa0996..0000000 --- a/docs/reference/loo_flocker.html +++ /dev/null @@ -1,122 +0,0 @@ - -Compute loo for flocker_fit objects — loo_flocker • flocker - - -
    -
    - - - -
    -
    - - -
    -

    Compute loo for flocker_fit objects

    -
    - -
    -
    loo_flocker(x, thin = NULL)
    -
    - -
    -

    Arguments

    -
    x
    -

    a flocker_fit object or a list of flocker_fit objects

    - - -
    thin
    -

    specify the amount of thinning required. 1 or NULL implies no thinning, 2 implies every other value, 3 every third, etc.

    - -
    -
    -

    Value

    - - -

    a loo object or a list of loo objects

    -
    - -
    -

    Examples

    -
    if (FALSE) {
    -loo_flocker(example_flocker_model_single)
    -}
    -
    -
    -
    - -
    - - -
    - -
    -

    Site built with pkgdown 2.0.7.

    -
    - -
    - - - - - - - - diff --git a/docs/reference/loo_flocker_onefit.html b/docs/reference/loo_flocker_onefit.html deleted file mode 100644 index a421224..0000000 --- a/docs/reference/loo_flocker_onefit.html +++ /dev/null @@ -1,115 +0,0 @@ - -Compute loo for a single flocker_fit object — loo_flocker_onefit • flocker - - -
    -
    - - - -
    -
    - - -
    -

    Compute loo for a single flocker_fit object

    -
    - -
    -
    loo_flocker_onefit(x, thin = NULL)
    -
    - -
    -

    Arguments

    -
    x
    -

    a flocker_fit object

    - - -
    thin
    -

    specify the amount of thinning required. 1 or NULL implies no thinning, 2 implies every other value, 3 every third, etc.

    - -
    -
    -

    Value

    - - -

    a loo object

    -
    - -
    - -
    - - -
    - -
    -

    Site built with pkgdown 2.0.7.

    -
    - -
    - - - - - - - - diff --git a/docs/reference/make_colex_likelihoods.html b/docs/reference/make_colex_likelihoods.html deleted file mode 100644 index af24736..0000000 --- a/docs/reference/make_colex_likelihoods.html +++ /dev/null @@ -1,121 +0,0 @@ - -Create Stan code for transition log-likelihoods in colex model. -These likelihoods ignore disallowed possibilities (detections on unoccupied -units); such possibilities are excluded via the control flow in the -implementation of the forward algorithm. — make_colex_likelihoods • flocker - - -
    -
    - - - -
    -
    - - -
    -

    Create Stan code for transition log-likelihoods in colex model. -These likelihoods ignore disallowed possibilities (detections on unoccupied -units); such possibilities are excluded via the control flow in the -implementation of the forward algorithm.

    -
    - -
    -
    make_colex_likelihoods()
    -
    - -
    -

    Value

    - - -

    Character string of Stan code corresponding to likelihoods for the - possible transitions in a colex model

    -
    - -
    - -
    - - -
    - -
    -

    Site built with pkgdown 2.0.7.

    -
    - -
    - - - - - - - - diff --git a/docs/reference/make_emission_1.html b/docs/reference/make_emission_1.html deleted file mode 100644 index ea503d3..0000000 --- a/docs/reference/make_emission_1.html +++ /dev/null @@ -1,110 +0,0 @@ - -Create Stan code for the emission log-likelihood given that the true state - equals one in a rep-varying model. — make_emission_1 • flocker - - -
    -
    - - - -
    -
    - - -
    -

    Create Stan code for the emission log-likelihood given that the true state - equals one in a rep-varying model.

    -
    - -
    -
    make_emission_1()
    -
    - -
    -

    Value

    - - -

    Character string of Stan code corresponding to emission_1

    -
    - -
    - -
    - - -
    - -
    -

    Site built with pkgdown 2.0.7.

    -
    - -
    - - - - - - - - diff --git a/docs/reference/make_emission_1_C.html b/docs/reference/make_emission_1_C.html deleted file mode 100644 index 261b21e..0000000 --- a/docs/reference/make_emission_1_C.html +++ /dev/null @@ -1,110 +0,0 @@ - -Create Stan code for the emission log-likelihood given that the true state - equals one in a rep-constant model. — make_emission_1_C • flocker - - -
    -
    - - - -
    -
    - - -
    -

    Create Stan code for the emission log-likelihood given that the true state - equals one in a rep-constant model.

    -
    - -
    -
    make_emission_1_C()
    -
    - -
    -

    Value

    - - -

    Character string of Stan code corresponding to emission_1

    -
    - -
    - -
    - - -
    - -
    -

    Site built with pkgdown 2.0.7.

    -
    - -
    - - - - - - - - diff --git a/docs/reference/make_flocker_data.html b/docs/reference/make_flocker_data.html deleted file mode 100644 index 34d48b1..0000000 --- a/docs/reference/make_flocker_data.html +++ /dev/null @@ -1,10997 +0,0 @@ - -Format data for occupancy model with flock(). — make_flocker_data • flocker - - -
    -
    - - - -
    -
    - - -
    -

    Format data for occupancy model with flock().

    -
    - -
    -
    make_flocker_data(
    -  obs,
    -  unit_covs = NULL,
    -  event_covs = NULL,
    -  type = "single",
    -  n_aug = NULL,
    -  quiet = FALSE
    -)
    -
    - -
    -

    Arguments

    -
    obs
    -

    If type = "single", an I x J matrix-like object where -closure is assumed across rows and columns are repeated sampling events. - If type = "multi", an I x J x K array where rows are sites or -species-sites, columns are repeated sampling events, and slices along the -third dimension are seasons. Allowable values are 1 (detection), 0 (no -detection), and NA (no sampling event). - If type = "augmented", an L x J x K array where rows L are sites, -columns J are repeat sampling events, and slices K are species. - The data must be packed so that, for a given unit (site, site-species, -site-timestep, site-species-timestep) all realized visits come before any -missing visits (NAs are trailing within their rows).

    - - -
    unit_covs
    -

    If type = "single" a dataframe of covariates for each -closure-unit that are constant across repeated sampling events within units. - If type = "multi", a list of such dataframes, one per timestep. All -dataframes must have identical column names and types, and all -dataframes must have I rows. - If type = "augmented", a dataframe of covariates for each site that -are constant across repeated sampling events within sites (no dependence on -species is allowed).

    - - -
    event_covs
    -

    If type = "single", a named list of I x J matrices, -each one corresponding to a covariate that varies across repeated sampling -events within closure-units. - If type = "multi", a named list of I x J x K arrays, each one -corresponding to a covariate that varies across repeated sampling events -within closure-units. - If type = "augmented", a named list of L x J matrices, each one -corresponding to a covariate that varies across repeated sampling events -within sites (no dependence on species is allowed).

    - - -
    type
    -

    The type of occupancy model desired. Options are: -"single" for a single_season model, -"multi" for a multi-season (dynamic) model, or -"augmented" for a single-season multi-species model with -data-augmentation for never-observed pseudospecies.

    - - -
    n_aug
    -

    Number of pseudo-species to augment. Only applicable if -type = "augmented".

    - - -
    quiet
    -

    Hide progress bars and informational messages?

    - -
    -
    -

    Value

    - - -

    A flocker_data list that can be passed as data to flock().

    -
    - -
    -

    Examples

    -
    make_flocker_data(
    - example_flocker_data$obs,
    - example_flocker_data$unit_covs,
    - example_flocker_data$event_covs
    -)
    -#> Formatting data for a single-season occupancy model. For details, see make_flocker_data_static. All warnings and error messages should be interpreted in the context of make_flocker_data_static
    -#> $data
    -#>       ff_y         uc1         uc2 grp species          ec1         ec2
    -#> 1        0 -0.56047565  0.42646422   7    sp_1  0.321519971 -0.96540472
    -#> 2        0 -0.56047565  0.42646422   3    sp_2  0.321519971 -0.96540472
    -#> 3        0 -0.56047565  0.42646422  15    sp_3  0.321519971 -0.96540472
    -#> 4        0 -0.56047565  0.42646422   5    sp_4  0.321519971 -0.96540472
    -#> 5        1 -0.56047565  0.42646422   8    sp_5  0.321519971 -0.96540472
    -#> 6        0 -0.56047565  0.42646422  19    sp_6  0.321519971 -0.96540472
    -#> 7        0 -0.56047565  0.42646422  10    sp_7  0.321519971 -0.96540472
    -#> 8        0 -0.56047565  0.42646422  18    sp_8  0.321519971 -0.96540472
    -#> 9        0 -0.56047565  0.42646422  10    sp_9  0.321519971 -0.96540472
    -#> 10       0 -0.56047565  0.42646422  12   sp_10  0.321519971 -0.96540472
    -#> 11       1 -0.56047565  0.42646422   2   sp_11  0.321519971 -0.96540472
    -#> 12       0 -0.56047565  0.42646422  10   sp_12  0.321519971 -0.96540472
    -#> 13       0 -0.56047565  0.42646422  12   sp_13  0.321519971 -0.96540472
    -#> 14       0 -0.56047565  0.42646422  20   sp_14  0.321519971 -0.96540472
    -#> 15       0 -0.56047565  0.42646422  14   sp_15  0.321519971 -0.96540472
    -#> 16       0 -0.56047565  0.42646422  17   sp_16  0.321519971 -0.96540472
    -#> 17       1 -0.56047565  0.42646422  14   sp_17  0.321519971 -0.96540472
    -#> 18       0 -0.56047565  0.42646422   3   sp_18  0.321519971 -0.96540472
    -#> 19       0 -0.56047565  0.42646422   8   sp_19  0.321519971 -0.96540472
    -#> 20       1 -0.56047565  0.42646422  14   sp_20  0.321519971 -0.96540472
    -#> 21       0 -0.56047565  0.42646422  19   sp_21  0.321519971 -0.96540472
    -#> 22       0 -0.56047565  0.42646422  15   sp_22  0.321519971 -0.96540472
    -#> 23       0 -0.56047565  0.42646422  17   sp_23  0.321519971 -0.96540472
    -#> 24       0 -0.56047565  0.42646422  11   sp_24  0.321519971 -0.96540472
    -#> 25       0 -0.56047565  0.42646422   7   sp_25  0.321519971 -0.96540472
    -#> 26       0 -0.56047565  0.42646422  15   sp_26  0.321519971 -0.96540472
    -#> 27       1 -0.56047565  0.42646422   6   sp_27  0.321519971 -0.96540472
    -#> 28       0 -0.56047565  0.42646422  14   sp_28  0.321519971 -0.96540472
    -#> 29       0 -0.56047565  0.42646422   7   sp_29  0.321519971 -0.96540472
    -#> 30       0 -0.56047565  0.42646422  10   sp_30  0.321519971 -0.96540472
    -#> 121      0 -0.23017749 -0.29507148   5    sp_1  0.545146877 -1.18355753
    -#> 122      0 -0.23017749 -0.29507148   6    sp_2  0.545146877 -1.18355753
    -#> 123      0 -0.23017749 -0.29507148  16    sp_3  0.545146877 -1.18355753
    -#> 124      0 -0.23017749 -0.29507148  11    sp_4  0.545146877 -1.18355753
    -#> 125      0 -0.23017749 -0.29507148   4    sp_5  0.545146877 -1.18355753
    -#> 126      1 -0.23017749 -0.29507148  12    sp_6  0.545146877 -1.18355753
    -#> 127      0 -0.23017749 -0.29507148  14    sp_7  0.545146877 -1.18355753
    -#> 128      0 -0.23017749 -0.29507148  19    sp_8  0.545146877 -1.18355753
    -#> 129      0 -0.23017749 -0.29507148   7    sp_9  0.545146877 -1.18355753
    -#> 130      0 -0.23017749 -0.29507148   9   sp_10  0.545146877 -1.18355753
    -#> 131      1 -0.23017749 -0.29507148   7   sp_11  0.545146877 -1.18355753
    -#> 132      0 -0.23017749 -0.29507148   2   sp_12  0.545146877 -1.18355753
    -#> 133      0 -0.23017749 -0.29507148  16   sp_13  0.545146877 -1.18355753
    -#> 134      0 -0.23017749 -0.29507148  13   sp_14  0.545146877 -1.18355753
    -#> 135      0 -0.23017749 -0.29507148  19   sp_15  0.545146877 -1.18355753
    -#> 136      1 -0.23017749 -0.29507148  20   sp_16  0.545146877 -1.18355753
    -#> 137      0 -0.23017749 -0.29507148  15   sp_17  0.545146877 -1.18355753
    -#> 138      0 -0.23017749 -0.29507148   7   sp_18  0.545146877 -1.18355753
    -#> 139      1 -0.23017749 -0.29507148   4   sp_19  0.545146877 -1.18355753
    -#> 140      0 -0.23017749 -0.29507148   1   sp_20  0.545146877 -1.18355753
    -#> 141      0 -0.23017749 -0.29507148   8   sp_21  0.545146877 -1.18355753
    -#> 142      1 -0.23017749 -0.29507148  20   sp_22  0.545146877 -1.18355753
    -#> 143      1 -0.23017749 -0.29507148  16   sp_23  0.545146877 -1.18355753
    -#> 144      0 -0.23017749 -0.29507148  11   sp_24  0.545146877 -1.18355753
    -#> 145      0 -0.23017749 -0.29507148  16   sp_25  0.545146877 -1.18355753
    -#> 146      0 -0.23017749 -0.29507148  20   sp_26  0.545146877 -1.18355753
    -#> 147      0 -0.23017749 -0.29507148   8   sp_27  0.545146877 -1.18355753
    -#> 148      0 -0.23017749 -0.29507148   3   sp_28  0.545146877 -1.18355753
    -#> 149      1 -0.23017749 -0.29507148   4   sp_29  0.545146877 -1.18355753
    -#> 150      0 -0.23017749 -0.29507148  20   sp_30  0.545146877 -1.18355753
    -#> 241      0  1.55870831  0.89512566  12    sp_1 -0.636097623  0.76339802
    -#> 242      1  1.55870831  0.89512566  17    sp_2 -0.636097623  0.76339802
    -#> 243      0  1.55870831  0.89512566  10    sp_3 -0.636097623  0.76339802
    -#> 244      0  1.55870831  0.89512566  20    sp_4 -0.636097623  0.76339802
    -#> 245      1  1.55870831  0.89512566  11    sp_5 -0.636097623  0.76339802
    -#> 246      0  1.55870831  0.89512566   8    sp_6 -0.636097623  0.76339802
    -#> 247      0  1.55870831  0.89512566  14    sp_7 -0.636097623  0.76339802
    -#> 248      0  1.55870831  0.89512566  13    sp_8 -0.636097623  0.76339802
    -#> 249      0  1.55870831  0.89512566   2    sp_9 -0.636097623  0.76339802
    -#> 250      1  1.55870831  0.89512566  11   sp_10 -0.636097623  0.76339802
    -#> 251      0  1.55870831  0.89512566  13   sp_11 -0.636097623  0.76339802
    -#> 252      0  1.55870831  0.89512566  14   sp_12 -0.636097623  0.76339802
    -#> 253      0  1.55870831  0.89512566   6   sp_13 -0.636097623  0.76339802
    -#> 254      0  1.55870831  0.89512566   8   sp_14 -0.636097623  0.76339802
    -#> 255      1  1.55870831  0.89512566  12   sp_15 -0.636097623  0.76339802
    -#> 256      0  1.55870831  0.89512566   4   sp_16 -0.636097623  0.76339802
    -#> 257      0  1.55870831  0.89512566  13   sp_17 -0.636097623  0.76339802
    -#> 258      0  1.55870831  0.89512566  14   sp_18 -0.636097623  0.76339802
    -#> 259      0  1.55870831  0.89512566  16   sp_19 -0.636097623  0.76339802
    -#> 260      0  1.55870831  0.89512566   1   sp_20 -0.636097623  0.76339802
    -#> 261      0  1.55870831  0.89512566   8   sp_21 -0.636097623  0.76339802
    -#> 262      0  1.55870831  0.89512566   8   sp_22 -0.636097623  0.76339802
    -#> 263      0  1.55870831  0.89512566  10   sp_23 -0.636097623  0.76339802
    -#> 264      0  1.55870831  0.89512566   8   sp_24 -0.636097623  0.76339802
    -#> 265      0  1.55870831  0.89512566  18   sp_25 -0.636097623  0.76339802
    -#> 266      0  1.55870831  0.89512566   9   sp_26 -0.636097623  0.76339802
    -#> 267      0  1.55870831  0.89512566   7   sp_27 -0.636097623  0.76339802
    -#> 268      0  1.55870831  0.89512566   7   sp_28 -0.636097623  0.76339802
    -#> 269      0  1.55870831  0.89512566  10   sp_29 -0.636097623  0.76339802
    -#> 270      1  1.55870831  0.89512566  11   sp_30 -0.636097623  0.76339802
    -#> 361      0  0.07050839  0.87813349   1    sp_1  1.376384123 -0.18537799
    -#> 362      0  0.07050839  0.87813349  19    sp_2  1.376384123 -0.18537799
    -#> 363      0  0.07050839  0.87813349  10    sp_3  1.376384123 -0.18537799
    -#> 364      0  0.07050839  0.87813349  13    sp_4  1.376384123 -0.18537799
    -#> 365      1  0.07050839  0.87813349  11    sp_5  1.376384123 -0.18537799
    -#> 366      0  0.07050839  0.87813349  11    sp_6  1.376384123 -0.18537799
    -#> 367      0  0.07050839  0.87813349  20    sp_7  1.376384123 -0.18537799
    -#> 368      0  0.07050839  0.87813349   7    sp_8  1.376384123 -0.18537799
    -#> 369      0  0.07050839  0.87813349  20    sp_9  1.376384123 -0.18537799
    -#> 370      0  0.07050839  0.87813349   9   sp_10  1.376384123 -0.18537799
    -#> 371      0  0.07050839  0.87813349   9   sp_11  1.376384123 -0.18537799
    -#> 372      0  0.07050839  0.87813349   5   sp_12  1.376384123 -0.18537799
    -#> 373      0  0.07050839  0.87813349  14   sp_13  1.376384123 -0.18537799
    -#> 374      0  0.07050839  0.87813349  14   sp_14  1.376384123 -0.18537799
    -#> 375      0  0.07050839  0.87813349   6   sp_15  1.376384123 -0.18537799
    -#> 376      0  0.07050839  0.87813349   1   sp_16  1.376384123 -0.18537799
    -#> 377      1  0.07050839  0.87813349  10   sp_17  1.376384123 -0.18537799
    -#> 378      1  0.07050839  0.87813349  17   sp_18  1.376384123 -0.18537799
    -#> 379      1  0.07050839  0.87813349  17   sp_19  1.376384123 -0.18537799
    -#> 380      0  0.07050839  0.87813349   7   sp_20  1.376384123 -0.18537799
    -#> 381      0  0.07050839  0.87813349   9   sp_21  1.376384123 -0.18537799
    -#> 382      0  0.07050839  0.87813349  20   sp_22  1.376384123 -0.18537799
    -#> 383      0  0.07050839  0.87813349   6   sp_23  1.376384123 -0.18537799
    -#> 384      0  0.07050839  0.87813349  18   sp_24  1.376384123 -0.18537799
    -#> 385      0  0.07050839  0.87813349  17   sp_25  1.376384123 -0.18537799
    -#> 386      0  0.07050839  0.87813349   5   sp_26  1.376384123 -0.18537799
    -#> 387      1  0.07050839  0.87813349  20   sp_27  1.376384123 -0.18537799
    -#> 388      0  0.07050839  0.87813349   3   sp_28  1.376384123 -0.18537799
    -#> 389      0  0.07050839  0.87813349  14   sp_29  1.376384123 -0.18537799
    -#> 390      0  0.07050839  0.87813349   1   sp_30  1.376384123 -0.18537799
    -#> 481      0  0.12928774  0.82158108   2    sp_1  1.012519248 -0.07935506
    -#> 482      0  0.12928774  0.82158108   4    sp_2  1.012519248 -0.07935506
    -#> 483      0  0.12928774  0.82158108  10    sp_3  1.012519248 -0.07935506
    -#> 484      0  0.12928774  0.82158108   1    sp_4  1.012519248 -0.07935506
    -#> 485      0  0.12928774  0.82158108   5    sp_5  1.012519248 -0.07935506
    -#> 486      0  0.12928774  0.82158108   8    sp_6  1.012519248 -0.07935506
    -#> 487      0  0.12928774  0.82158108  13    sp_7  1.012519248 -0.07935506
    -#> 488      0  0.12928774  0.82158108  18    sp_8  1.012519248 -0.07935506
    -#> 489      1  0.12928774  0.82158108  10    sp_9  1.012519248 -0.07935506
    -#> 490      0  0.12928774  0.82158108   6   sp_10  1.012519248 -0.07935506
    -#> 491      0  0.12928774  0.82158108   7   sp_11  1.012519248 -0.07935506
    -#> 492      0  0.12928774  0.82158108   9   sp_12  1.012519248 -0.07935506
    -#> 493      0  0.12928774  0.82158108  16   sp_13  1.012519248 -0.07935506
    -#> 494      1  0.12928774  0.82158108  17   sp_14  1.012519248 -0.07935506
    -#> 495      0  0.12928774  0.82158108  13   sp_15  1.012519248 -0.07935506
    -#> 496      0  0.12928774  0.82158108   8   sp_16  1.012519248 -0.07935506
    -#> 497      0  0.12928774  0.82158108   7   sp_17  1.012519248 -0.07935506
    -#> 498      0  0.12928774  0.82158108  20   sp_18  1.012519248 -0.07935506
    -#> 499      0  0.12928774  0.82158108  18   sp_19  1.012519248 -0.07935506
    -#> 500      0  0.12928774  0.82158108  17   sp_20  1.012519248 -0.07935506
    -#> 501      0  0.12928774  0.82158108   1   sp_21  1.012519248 -0.07935506
    -#> 502      0  0.12928774  0.82158108   2   sp_22  1.012519248 -0.07935506
    -#> 503      0  0.12928774  0.82158108  17   sp_23  1.012519248 -0.07935506
    -#> 504      0  0.12928774  0.82158108   2   sp_24  1.012519248 -0.07935506
    -#> 505      0  0.12928774  0.82158108  13   sp_25  1.012519248 -0.07935506
    -#> 506      0  0.12928774  0.82158108  17   sp_26  1.012519248 -0.07935506
    -#> 507      0  0.12928774  0.82158108   3   sp_27  1.012519248 -0.07935506
    -#> 508      0  0.12928774  0.82158108  18   sp_28  1.012519248 -0.07935506
    -#> 509      0  0.12928774  0.82158108   2   sp_29  1.012519248 -0.07935506
    -#> 510      0  0.12928774  0.82158108   5   sp_30  1.012519248 -0.07935506
    -#> 601      1  1.71506499  0.68864025  12    sp_1 -0.539895140  0.70220997
    -#> 602      0  1.71506499  0.68864025  13    sp_2 -0.539895140  0.70220997
    -#> 603      0  1.71506499  0.68864025  10    sp_3 -0.539895140  0.70220997
    -#> 604      1  1.71506499  0.68864025   6    sp_4 -0.539895140  0.70220997
    -#> 605      0  1.71506499  0.68864025  10    sp_5 -0.539895140  0.70220997
    -#> 606      0  1.71506499  0.68864025  10    sp_6 -0.539895140  0.70220997
    -#> 607      1  1.71506499  0.68864025   6    sp_7 -0.539895140  0.70220997
    -#> 608      0  1.71506499  0.68864025  16    sp_8 -0.539895140  0.70220997
    -#> 609      0  1.71506499  0.68864025  16    sp_9 -0.539895140  0.70220997
    -#> 610      0  1.71506499  0.68864025   3   sp_10 -0.539895140  0.70220997
    -#> 611      0  1.71506499  0.68864025   4   sp_11 -0.539895140  0.70220997
    -#> 612      0  1.71506499  0.68864025   3   sp_12 -0.539895140  0.70220997
    -#> 613      0  1.71506499  0.68864025   3   sp_13 -0.539895140  0.70220997
    -#> 614      0  1.71506499  0.68864025  16   sp_14 -0.539895140  0.70220997
    -#> 615      0  1.71506499  0.68864025   2   sp_15 -0.539895140  0.70220997
    -#> 616      1  1.71506499  0.68864025  15   sp_16 -0.539895140  0.70220997
    -#> 617      0  1.71506499  0.68864025   3   sp_17 -0.539895140  0.70220997
    -#> 618      0  1.71506499  0.68864025   9   sp_18 -0.539895140  0.70220997
    -#> 619      0  1.71506499  0.68864025   7   sp_19 -0.539895140  0.70220997
    -#> 620      0  1.71506499  0.68864025   9   sp_20 -0.539895140  0.70220997
    -#> 621      0  1.71506499  0.68864025   4   sp_21 -0.539895140  0.70220997
    -#> 622      0  1.71506499  0.68864025   2   sp_22 -0.539895140  0.70220997
    -#> 623      0  1.71506499  0.68864025  12   sp_23 -0.539895140  0.70220997
    -#> 624      0  1.71506499  0.68864025   9   sp_24 -0.539895140  0.70220997
    -#> 625      0  1.71506499  0.68864025  11   sp_25 -0.539895140  0.70220997
    -#> 626      0  1.71506499  0.68864025   7   sp_26 -0.539895140  0.70220997
    -#> 627      0  1.71506499  0.68864025  13   sp_27 -0.539895140  0.70220997
    -#> 628      0  1.71506499  0.68864025   5   sp_28 -0.539895140  0.70220997
    -#> 629      0  1.71506499  0.68864025  11   sp_29 -0.539895140  0.70220997
    -#> 630      0  1.71506499  0.68864025   1   sp_30 -0.539895140  0.70220997
    -#> 721      0  0.46091621  0.55391765  19    sp_1 -1.072417884  1.02610781
    -#> 722      0  0.46091621  0.55391765  12    sp_2 -1.072417884  1.02610781
    -#> 723      0  0.46091621  0.55391765   2    sp_3 -1.072417884  1.02610781
    -#> 724      1  0.46091621  0.55391765  17    sp_4 -1.072417884  1.02610781
    -#> 725      0  0.46091621  0.55391765  12    sp_5 -1.072417884  1.02610781
    -#> 726      0  0.46091621  0.55391765   3    sp_6 -1.072417884  1.02610781
    -#> 727      0  0.46091621  0.55391765  18    sp_7 -1.072417884  1.02610781
    -#> 728      0  0.46091621  0.55391765  15    sp_8 -1.072417884  1.02610781
    -#> 729      0  0.46091621  0.55391765   3    sp_9 -1.072417884  1.02610781
    -#> 730      0  0.46091621  0.55391765  19   sp_10 -1.072417884  1.02610781
    -#> 731      0  0.46091621  0.55391765  18   sp_11 -1.072417884  1.02610781
    -#> 732      0  0.46091621  0.55391765  17   sp_12 -1.072417884  1.02610781
    -#> 733      0  0.46091621  0.55391765   6   sp_13 -1.072417884  1.02610781
    -#> 734      0  0.46091621  0.55391765  10   sp_14 -1.072417884  1.02610781
    -#> 735      0  0.46091621  0.55391765   8   sp_15 -1.072417884  1.02610781
    -#> 736      0  0.46091621  0.55391765  10   sp_16 -1.072417884  1.02610781
    -#> 737      0  0.46091621  0.55391765  13   sp_17 -1.072417884  1.02610781
    -#> 738      0  0.46091621  0.55391765  20   sp_18 -1.072417884  1.02610781
    -#> 739      0  0.46091621  0.55391765   6   sp_19 -1.072417884  1.02610781
    -#> 740      0  0.46091621  0.55391765  20   sp_20 -1.072417884  1.02610781
    -#> 741      0  0.46091621  0.55391765  20   sp_21 -1.072417884  1.02610781
    -#> 742      0  0.46091621  0.55391765   9   sp_22 -1.072417884  1.02610781
    -#> 743      0  0.46091621  0.55391765  16   sp_23 -1.072417884  1.02610781
    -#> 744      0  0.46091621  0.55391765   8   sp_24 -1.072417884  1.02610781
    -#> 745      0  0.46091621  0.55391765   7   sp_25 -1.072417884  1.02610781
    -#> 746      0  0.46091621  0.55391765  10   sp_26 -1.072417884  1.02610781
    -#> 747      0  0.46091621  0.55391765  17   sp_27 -1.072417884  1.02610781
    -#> 748      0  0.46091621  0.55391765  18   sp_28 -1.072417884  1.02610781
    -#> 749      0  0.46091621  0.55391765   8   sp_29 -1.072417884  1.02610781
    -#> 750      0  0.46091621  0.55391765  19   sp_30 -1.072417884  1.02610781
    -#> 841      1 -1.26506123 -0.06191171  10    sp_1  0.428912684 -0.90487124
    -#> 842      0 -1.26506123 -0.06191171  11    sp_2  0.428912684 -0.90487124
    -#> 843      0 -1.26506123 -0.06191171  17    sp_3  0.428912684 -0.90487124
    -#> 844      0 -1.26506123 -0.06191171  12    sp_4  0.428912684 -0.90487124
    -#> 845      0 -1.26506123 -0.06191171   2    sp_5  0.428912684 -0.90487124
    -#> 846      0 -1.26506123 -0.06191171  19    sp_6  0.428912684 -0.90487124
    -#> 847      0 -1.26506123 -0.06191171  13    sp_7  0.428912684 -0.90487124
    -#> 848      0 -1.26506123 -0.06191171  13    sp_8  0.428912684 -0.90487124
    -#> 849      0 -1.26506123 -0.06191171  19    sp_9  0.428912684 -0.90487124
    -#> 850      1 -1.26506123 -0.06191171  10   sp_10  0.428912684 -0.90487124
    -#> 851      0 -1.26506123 -0.06191171  16   sp_11  0.428912684 -0.90487124
    -#> 852      1 -1.26506123 -0.06191171   5   sp_12  0.428912684 -0.90487124
    -#> 853      0 -1.26506123 -0.06191171   4   sp_13  0.428912684 -0.90487124
    -#> 854      0 -1.26506123 -0.06191171  18   sp_14  0.428912684 -0.90487124
    -#> 855      0 -1.26506123 -0.06191171   1   sp_15  0.428912684 -0.90487124
    -#> 856      0 -1.26506123 -0.06191171  16   sp_16  0.428912684 -0.90487124
    -#> 857      0 -1.26506123 -0.06191171  17   sp_17  0.428912684 -0.90487124
    -#> 858      0 -1.26506123 -0.06191171  12   sp_18  0.428912684 -0.90487124
    -#> 859      0 -1.26506123 -0.06191171   2   sp_19  0.428912684 -0.90487124
    -#> 860      0 -1.26506123 -0.06191171  18   sp_20  0.428912684 -0.90487124
    -#> 861      0 -1.26506123 -0.06191171  12   sp_21  0.428912684 -0.90487124
    -#> 862      0 -1.26506123 -0.06191171  15   sp_22  0.428912684 -0.90487124
    -#> 863      0 -1.26506123 -0.06191171  19   sp_23  0.428912684 -0.90487124
    -#> 864      1 -1.26506123 -0.06191171   6   sp_24  0.428912684 -0.90487124
    -#> 865      0 -1.26506123 -0.06191171  16   sp_25  0.428912684 -0.90487124
    -#> 866      0 -1.26506123 -0.06191171  15   sp_26  0.428912684 -0.90487124
    -#> 867      0 -1.26506123 -0.06191171  19   sp_27  0.428912684 -0.90487124
    -#> 868      0 -1.26506123 -0.06191171   3   sp_28  0.428912684 -0.90487124
    -#> 869      0 -1.26506123 -0.06191171  14   sp_29  0.428912684 -0.90487124
    -#> 870      0 -1.26506123 -0.06191171   1   sp_30  0.428912684 -0.90487124
    -#> 961      1 -0.68685285 -0.30596266   1    sp_1 -0.482457898 -2.17554647
    -#> 962      0 -0.68685285 -0.30596266  16    sp_2 -0.482457898 -2.17554647
    -#> 963      0 -0.68685285 -0.30596266  11    sp_3 -0.482457898 -2.17554647
    -#> 964      1 -0.68685285 -0.30596266   4    sp_4 -0.482457898 -2.17554647
    -#> 965      1 -0.68685285 -0.30596266  12    sp_5 -0.482457898 -2.17554647
    -#> 966      1 -0.68685285 -0.30596266  13    sp_6 -0.482457898 -2.17554647
    -#> 967      0 -0.68685285 -0.30596266  10    sp_7 -0.482457898 -2.17554647
    -#> 968      0 -0.68685285 -0.30596266  10    sp_8 -0.482457898 -2.17554647
    -#> 969      0 -0.68685285 -0.30596266   7    sp_9 -0.482457898 -2.17554647
    -#> 970      0 -0.68685285 -0.30596266  18   sp_10 -0.482457898 -2.17554647
    -#> 971      0 -0.68685285 -0.30596266  17   sp_11 -0.482457898 -2.17554647
    -#> 972      1 -0.68685285 -0.30596266  20   sp_12 -0.482457898 -2.17554647
    -#> 973      1 -0.68685285 -0.30596266   9   sp_13 -0.482457898 -2.17554647
    -#> 974      1 -0.68685285 -0.30596266  11   sp_14 -0.482457898 -2.17554647
    -#> 975      1 -0.68685285 -0.30596266  12   sp_15 -0.482457898 -2.17554647
    -#> 976      0 -0.68685285 -0.30596266   8   sp_16 -0.482457898 -2.17554647
    -#> 977      0 -0.68685285 -0.30596266  18   sp_17 -0.482457898 -2.17554647
    -#> 978      0 -0.68685285 -0.30596266   5   sp_18 -0.482457898 -2.17554647
    -#> 979      0 -0.68685285 -0.30596266  18   sp_19 -0.482457898 -2.17554647
    -#> 980      0 -0.68685285 -0.30596266   6   sp_20 -0.482457898 -2.17554647
    -#> 981      0 -0.68685285 -0.30596266  10   sp_21 -0.482457898 -2.17554647
    -#> 982      0 -0.68685285 -0.30596266   9   sp_22 -0.482457898 -2.17554647
    -#> 983      1 -0.68685285 -0.30596266  11   sp_23 -0.482457898 -2.17554647
    -#> 984      0 -0.68685285 -0.30596266   6   sp_24 -0.482457898 -2.17554647
    -#> 985      0 -0.68685285 -0.30596266  12   sp_25 -0.482457898 -2.17554647
    -#> 986      0 -0.68685285 -0.30596266  19   sp_26 -0.482457898 -2.17554647
    -#> 987      0 -0.68685285 -0.30596266   4   sp_27 -0.482457898 -2.17554647
    -#> 988      0 -0.68685285 -0.30596266   3   sp_28 -0.482457898 -2.17554647
    -#> 989      0 -0.68685285 -0.30596266  14   sp_29 -0.482457898 -2.17554647
    -#> 990      1 -0.68685285 -0.30596266   8   sp_30 -0.482457898 -2.17554647
    -#> 1081     0 -0.44566197 -0.38047100   6    sp_1 -0.090646571  0.82760513
    -#> 1082     0 -0.44566197 -0.38047100   4    sp_2 -0.090646571  0.82760513
    -#> 1083     1 -0.44566197 -0.38047100  10    sp_3 -0.090646571  0.82760513
    -#> 1084     0 -0.44566197 -0.38047100  16    sp_4 -0.090646571  0.82760513
    -#> 1085     0 -0.44566197 -0.38047100  16    sp_5 -0.090646571  0.82760513
    -#> 1086     0 -0.44566197 -0.38047100  20    sp_6 -0.090646571  0.82760513
    -#> 1087     0 -0.44566197 -0.38047100  10    sp_7 -0.090646571  0.82760513
    -#> 1088     0 -0.44566197 -0.38047100   6    sp_8 -0.090646571  0.82760513
    -#> 1089     0 -0.44566197 -0.38047100  19    sp_9 -0.090646571  0.82760513
    -#> 1090     0 -0.44566197 -0.38047100   4   sp_10 -0.090646571  0.82760513
    -#> 1091     0 -0.44566197 -0.38047100   9   sp_11 -0.090646571  0.82760513
    -#> 1092     0 -0.44566197 -0.38047100   4   sp_12 -0.090646571  0.82760513
    -#> 1093     0 -0.44566197 -0.38047100  15   sp_13 -0.090646571  0.82760513
    -#> 1094     0 -0.44566197 -0.38047100  20   sp_14 -0.090646571  0.82760513
    -#> 1095     0 -0.44566197 -0.38047100  17   sp_15 -0.090646571  0.82760513
    -#> 1096     0 -0.44566197 -0.38047100   7   sp_16 -0.090646571  0.82760513
    -#> 1097     0 -0.44566197 -0.38047100  15   sp_17 -0.090646571  0.82760513
    -#> 1098     0 -0.44566197 -0.38047100   5   sp_18 -0.090646571  0.82760513
    -#> 1099     0 -0.44566197 -0.38047100  14   sp_19 -0.090646571  0.82760513
    -#> 1100     0 -0.44566197 -0.38047100  15   sp_20 -0.090646571  0.82760513
    -#> 1101     1 -0.44566197 -0.38047100  15   sp_21 -0.090646571  0.82760513
    -#> 1102     0 -0.44566197 -0.38047100  16   sp_22 -0.090646571  0.82760513
    -#> 1103     0 -0.44566197 -0.38047100  19   sp_23 -0.090646571  0.82760513
    -#> 1104     0 -0.44566197 -0.38047100   8   sp_24 -0.090646571  0.82760513
    -#> 1105     0 -0.44566197 -0.38047100   5   sp_25 -0.090646571  0.82760513
    -#> 1106     0 -0.44566197 -0.38047100   7   sp_26 -0.090646571  0.82760513
    -#> 1107     0 -0.44566197 -0.38047100  20   sp_27 -0.090646571  0.82760513
    -#> 1108     0 -0.44566197 -0.38047100  16   sp_28 -0.090646571  0.82760513
    -#> 1109     0 -0.44566197 -0.38047100  16   sp_29 -0.090646571  0.82760513
    -#> 1110     0 -0.44566197 -0.38047100   9   sp_30 -0.090646571  0.82760513
    -#> 1201     1  1.22408180 -0.69470698  11    sp_1  0.791847550 -1.27168186
    -#> 1202     1  1.22408180 -0.69470698  11    sp_2  0.791847550 -1.27168186
    -#> 1203     1  1.22408180 -0.69470698  19    sp_3  0.791847550 -1.27168186
    -#> 1204     1  1.22408180 -0.69470698  10    sp_4  0.791847550 -1.27168186
    -#> 1205     0  1.22408180 -0.69470698   2    sp_5  0.791847550 -1.27168186
    -#> 1206     0  1.22408180 -0.69470698   6    sp_6  0.791847550 -1.27168186
    -#> 1207     0  1.22408180 -0.69470698  20    sp_7  0.791847550 -1.27168186
    -#> 1208     0  1.22408180 -0.69470698  14    sp_8  0.791847550 -1.27168186
    -#> 1209     0  1.22408180 -0.69470698  14    sp_9  0.791847550 -1.27168186
    -#> 1210     1  1.22408180 -0.69470698   6   sp_10  0.791847550 -1.27168186
    -#> 1211     0  1.22408180 -0.69470698  18   sp_11  0.791847550 -1.27168186
    -#> 1212     0  1.22408180 -0.69470698   2   sp_12  0.791847550 -1.27168186
    -#> 1213     1  1.22408180 -0.69470698   8   sp_13  0.791847550 -1.27168186
    -#> 1214     1  1.22408180 -0.69470698  11   sp_14  0.791847550 -1.27168186
    -#> 1215     1  1.22408180 -0.69470698   7   sp_15  0.791847550 -1.27168186
    -#> 1216     1  1.22408180 -0.69470698  19   sp_16  0.791847550 -1.27168186
    -#> 1217     0  1.22408180 -0.69470698   8   sp_17  0.791847550 -1.27168186
    -#> 1218     1  1.22408180 -0.69470698  10   sp_18  0.791847550 -1.27168186
    -#> 1219     1  1.22408180 -0.69470698   5   sp_19  0.791847550 -1.27168186
    -#> 1220     1  1.22408180 -0.69470698  17   sp_20  0.791847550 -1.27168186
    -#> 1221     1  1.22408180 -0.69470698   6   sp_21  0.791847550 -1.27168186
    -#> 1222     1  1.22408180 -0.69470698   8   sp_22  0.791847550 -1.27168186
    -#> 1223     0  1.22408180 -0.69470698  20   sp_23  0.791847550 -1.27168186
    -#> 1224     1  1.22408180 -0.69470698   6   sp_24  0.791847550 -1.27168186
    -#> 1225     1  1.22408180 -0.69470698  15   sp_25  0.791847550 -1.27168186
    -#> 1226     0  1.22408180 -0.69470698  17   sp_26  0.791847550 -1.27168186
    -#> 1227     0  1.22408180 -0.69470698   3   sp_27  0.791847550 -1.27168186
    -#> 1228     0  1.22408180 -0.69470698  15   sp_28  0.791847550 -1.27168186
    -#> 1229     1  1.22408180 -0.69470698  20   sp_29  0.791847550 -1.27168186
    -#> 1230     1  1.22408180 -0.69470698   1   sp_30  0.791847550 -1.27168186
    -#> 1321     0  0.35981383 -0.20791728   5    sp_1  0.068754653  0.07194716
    -#> 1322     0  0.35981383 -0.20791728  11    sp_2  0.068754653  0.07194716
    -#> 1323     0  0.35981383 -0.20791728  15    sp_3  0.068754653  0.07194716
    -#> 1324     0  0.35981383 -0.20791728  20    sp_4  0.068754653  0.07194716
    -#> 1325     0  0.35981383 -0.20791728   2    sp_5  0.068754653  0.07194716
    -#> 1326     0  0.35981383 -0.20791728  16    sp_6  0.068754653  0.07194716
    -#> 1327     0  0.35981383 -0.20791728  19    sp_7  0.068754653  0.07194716
    -#> 1328     0  0.35981383 -0.20791728  10    sp_8  0.068754653  0.07194716
    -#> 1329     0  0.35981383 -0.20791728  19    sp_9  0.068754653  0.07194716
    -#> 1330     1  0.35981383 -0.20791728  17   sp_10  0.068754653  0.07194716
    -#> 1331     0  0.35981383 -0.20791728   7   sp_11  0.068754653  0.07194716
    -#> 1332     0  0.35981383 -0.20791728   6   sp_12  0.068754653  0.07194716
    -#> 1333     0  0.35981383 -0.20791728  12   sp_13  0.068754653  0.07194716
    -#> 1334     0  0.35981383 -0.20791728   4   sp_14  0.068754653  0.07194716
    -#> 1335     0  0.35981383 -0.20791728  19   sp_15  0.068754653  0.07194716
    -#> 1336     1  0.35981383 -0.20791728   2   sp_16  0.068754653  0.07194716
    -#> 1337     0  0.35981383 -0.20791728   4   sp_17  0.068754653  0.07194716
    -#> 1338     0  0.35981383 -0.20791728  11   sp_18  0.068754653  0.07194716
    -#> 1339     0  0.35981383 -0.20791728   1   sp_19  0.068754653  0.07194716
    -#> 1340     0  0.35981383 -0.20791728  19   sp_20  0.068754653  0.07194716
    -#> 1341     1  0.35981383 -0.20791728  18   sp_21  0.068754653  0.07194716
    -#> 1342     0  0.35981383 -0.20791728  16   sp_22  0.068754653  0.07194716
    -#> 1343     0  0.35981383 -0.20791728   3   sp_23  0.068754653  0.07194716
    -#> 1344     0  0.35981383 -0.20791728   1   sp_24  0.068754653  0.07194716
    -#> 1345     1  0.35981383 -0.20791728   2   sp_25  0.068754653  0.07194716
    -#> 1346     0  0.35981383 -0.20791728   2   sp_26  0.068754653  0.07194716
    -#> 1347     0  0.35981383 -0.20791728   8   sp_27  0.068754653  0.07194716
    -#> 1348     0  0.35981383 -0.20791728  20   sp_28  0.068754653  0.07194716
    -#> 1349     0  0.35981383 -0.20791728  14   sp_29  0.068754653  0.07194716
    -#> 1350     0  0.35981383 -0.20791728  13   sp_30  0.068754653  0.07194716
    -#> 1441     0  0.40077145 -1.26539635   7    sp_1 -0.613966444 -1.18393872
    -#> 1442     0  0.40077145 -1.26539635   8    sp_2 -0.613966444 -1.18393872
    -#> 1443     1  0.40077145 -1.26539635   3    sp_3 -0.613966444 -1.18393872
    -#> 1444     0  0.40077145 -1.26539635  16    sp_4 -0.613966444 -1.18393872
    -#> 1445     1  0.40077145 -1.26539635   1    sp_5 -0.613966444 -1.18393872
    -#> 1446     1  0.40077145 -1.26539635  12    sp_6 -0.613966444 -1.18393872
    -#> 1447     0  0.40077145 -1.26539635  18    sp_7 -0.613966444 -1.18393872
    -#> 1448     0  0.40077145 -1.26539635  14    sp_8 -0.613966444 -1.18393872
    -#> 1449     0  0.40077145 -1.26539635   8    sp_9 -0.613966444 -1.18393872
    -#> 1450     1  0.40077145 -1.26539635   5   sp_10 -0.613966444 -1.18393872
    -#> 1451     0  0.40077145 -1.26539635  17   sp_11 -0.613966444 -1.18393872
    -#> 1452     1  0.40077145 -1.26539635  11   sp_12 -0.613966444 -1.18393872
    -#> 1453     0  0.40077145 -1.26539635   4   sp_13 -0.613966444 -1.18393872
    -#> 1454     1  0.40077145 -1.26539635  13   sp_14 -0.613966444 -1.18393872
    -#> 1455     1  0.40077145 -1.26539635   8   sp_15 -0.613966444 -1.18393872
    -#> 1456     1  0.40077145 -1.26539635  15   sp_16 -0.613966444 -1.18393872
    -#> 1457     1  0.40077145 -1.26539635   4   sp_17 -0.613966444 -1.18393872
    -#> 1458     0  0.40077145 -1.26539635  13   sp_18 -0.613966444 -1.18393872
    -#> 1459     1  0.40077145 -1.26539635   3   sp_19 -0.613966444 -1.18393872
    -#> 1460     0  0.40077145 -1.26539635   7   sp_20 -0.613966444 -1.18393872
    -#> 1461     1  0.40077145 -1.26539635   1   sp_21 -0.613966444 -1.18393872
    -#> 1462     0  0.40077145 -1.26539635   6   sp_22 -0.613966444 -1.18393872
    -#> 1463     1  0.40077145 -1.26539635  13   sp_23 -0.613966444 -1.18393872
    -#> 1464     1  0.40077145 -1.26539635  17   sp_24 -0.613966444 -1.18393872
    -#> 1465     0  0.40077145 -1.26539635   6   sp_25 -0.613966444 -1.18393872
    -#> 1466     1  0.40077145 -1.26539635  10   sp_26 -0.613966444 -1.18393872
    -#> 1467     0  0.40077145 -1.26539635  13   sp_27 -0.613966444 -1.18393872
    -#> 1468     0  0.40077145 -1.26539635   6   sp_28 -0.613966444 -1.18393872
    -#> 1469     0  0.40077145 -1.26539635   9   sp_29 -0.613966444 -1.18393872
    -#> 1470     0  0.40077145 -1.26539635   8   sp_30 -0.613966444 -1.18393872
    -#> 1561     0  0.11068272  2.16895597   1    sp_1 -0.714181239  0.13138207
    -#> 1562     1  0.11068272  2.16895597  16    sp_2 -0.714181239  0.13138207
    -#> 1563     0  0.11068272  2.16895597   2    sp_3 -0.714181239  0.13138207
    -#> 1564     0  0.11068272  2.16895597   8    sp_4 -0.714181239  0.13138207
    -#> 1565     0  0.11068272  2.16895597  14    sp_5 -0.714181239  0.13138207
    -#> 1566     0  0.11068272  2.16895597  12    sp_6 -0.714181239  0.13138207
    -#> 1567     0  0.11068272  2.16895597   8    sp_7 -0.714181239  0.13138207
    -#> 1568     0  0.11068272  2.16895597   9    sp_8 -0.714181239  0.13138207
    -#> 1569     0  0.11068272  2.16895597   8    sp_9 -0.714181239  0.13138207
    -#> 1570     0  0.11068272  2.16895597   9   sp_10 -0.714181239  0.13138207
    -#> 1571     0  0.11068272  2.16895597  20   sp_11 -0.714181239  0.13138207
    -#> 1572     0  0.11068272  2.16895597   1   sp_12 -0.714181239  0.13138207
    -#> 1573     0  0.11068272  2.16895597   3   sp_13 -0.714181239  0.13138207
    -#> 1574     0  0.11068272  2.16895597   8   sp_14 -0.714181239  0.13138207
    -#> 1575     0  0.11068272  2.16895597   2   sp_15 -0.714181239  0.13138207
    -#> 1576     0  0.11068272  2.16895597   1   sp_16 -0.714181239  0.13138207
    -#> 1577     0  0.11068272  2.16895597   9   sp_17 -0.714181239  0.13138207
    -#> 1578     0  0.11068272  2.16895597   7   sp_18 -0.714181239  0.13138207
    -#> 1579     0  0.11068272  2.16895597  13   sp_19 -0.714181239  0.13138207
    -#> 1580     0  0.11068272  2.16895597  20   sp_20 -0.714181239  0.13138207
    -#> 1581     0  0.11068272  2.16895597  14   sp_21 -0.714181239  0.13138207
    -#> 1582     0  0.11068272  2.16895597  16   sp_22 -0.714181239  0.13138207
    -#> 1583     0  0.11068272  2.16895597   7   sp_23 -0.714181239  0.13138207
    -#> 1584     0  0.11068272  2.16895597   4   sp_24 -0.714181239  0.13138207
    -#> 1585     0  0.11068272  2.16895597  13   sp_25 -0.714181239  0.13138207
    -#> 1586     0  0.11068272  2.16895597  12   sp_26 -0.714181239  0.13138207
    -#> 1587     0  0.11068272  2.16895597  13   sp_27 -0.714181239  0.13138207
    -#> 1588     0  0.11068272  2.16895597  20   sp_28 -0.714181239  0.13138207
    -#> 1589     0  0.11068272  2.16895597  10   sp_29 -0.714181239  0.13138207
    -#> 1590     0  0.11068272  2.16895597   9   sp_30 -0.714181239  0.13138207
    -#> 1681     0 -0.55584113  1.20796200  12    sp_1  0.324249513 -0.14985243
    -#> 1682     0 -0.55584113  1.20796200   8    sp_2  0.324249513 -0.14985243
    -#> 1683     0 -0.55584113  1.20796200   7    sp_3  0.324249513 -0.14985243
    -#> 1684     0 -0.55584113  1.20796200  15    sp_4  0.324249513 -0.14985243
    -#> 1685     0 -0.55584113  1.20796200  19    sp_5  0.324249513 -0.14985243
    -#> 1686     0 -0.55584113  1.20796200  17    sp_6  0.324249513 -0.14985243
    -#> 1687     0 -0.55584113  1.20796200  11    sp_7  0.324249513 -0.14985243
    -#> 1688     0 -0.55584113  1.20796200   7    sp_8  0.324249513 -0.14985243
    -#> 1689     0 -0.55584113  1.20796200  19    sp_9  0.324249513 -0.14985243
    -#> 1690     0 -0.55584113  1.20796200   3   sp_10  0.324249513 -0.14985243
    -#> 1691     0 -0.55584113  1.20796200   6   sp_11  0.324249513 -0.14985243
    -#> 1692     0 -0.55584113  1.20796200   7   sp_12  0.324249513 -0.14985243
    -#> 1693     0 -0.55584113  1.20796200   4   sp_13  0.324249513 -0.14985243
    -#> 1694     1 -0.55584113  1.20796200  10   sp_14  0.324249513 -0.14985243
    -#> 1695     0 -0.55584113  1.20796200  17   sp_15  0.324249513 -0.14985243
    -#> 1696     0 -0.55584113  1.20796200  16   sp_16  0.324249513 -0.14985243
    -#> 1697     0 -0.55584113  1.20796200   8   sp_17  0.324249513 -0.14985243
    -#> 1698     0 -0.55584113  1.20796200   3   sp_18  0.324249513 -0.14985243
    -#> 1699     0 -0.55584113  1.20796200  12   sp_19  0.324249513 -0.14985243
    -#> 1700     0 -0.55584113  1.20796200  14   sp_20  0.324249513 -0.14985243
    -#> 1701     0 -0.55584113  1.20796200   5   sp_21  0.324249513 -0.14985243
    -#> 1702     0 -0.55584113  1.20796200  14   sp_22  0.324249513 -0.14985243
    -#> 1703     0 -0.55584113  1.20796200   6   sp_23  0.324249513 -0.14985243
    -#> 1704     0 -0.55584113  1.20796200   9   sp_24  0.324249513 -0.14985243
    -#> 1705     0 -0.55584113  1.20796200   1   sp_25  0.324249513 -0.14985243
    -#> 1706     0 -0.55584113  1.20796200  20   sp_26  0.324249513 -0.14985243
    -#> 1707     0 -0.55584113  1.20796200  14   sp_27  0.324249513 -0.14985243
    -#> 1708     0 -0.55584113  1.20796200  19   sp_28  0.324249513 -0.14985243
    -#> 1709     0 -0.55584113  1.20796200   5   sp_29  0.324249513 -0.14985243
    -#> 1710     0 -0.55584113  1.20796200   2   sp_30  0.324249513 -0.14985243
    -#> 1801     0  1.78691314 -1.12310858   1    sp_1  0.343282350  1.41604345
    -#> 1802     0  1.78691314 -1.12310858  20    sp_2  0.343282350  1.41604345
    -#> 1803     0  1.78691314 -1.12310858   4    sp_3  0.343282350  1.41604345
    -#> 1804     0  1.78691314 -1.12310858  11    sp_4  0.343282350  1.41604345
    -#> 1805     1  1.78691314 -1.12310858   5    sp_5  0.343282350  1.41604345
    -#> 1806     0  1.78691314 -1.12310858   4    sp_6  0.343282350  1.41604345
    -#> 1807     0  1.78691314 -1.12310858  19    sp_7  0.343282350  1.41604345
    -#> 1808     0  1.78691314 -1.12310858   3    sp_8  0.343282350  1.41604345
    -#> 1809     0  1.78691314 -1.12310858   1    sp_9  0.343282350  1.41604345
    -#> 1810     0  1.78691314 -1.12310858   7   sp_10  0.343282350  1.41604345
    -#> 1811     1  1.78691314 -1.12310858   5   sp_11  0.343282350  1.41604345
    -#> 1812     0  1.78691314 -1.12310858   9   sp_12  0.343282350  1.41604345
    -#> 1813     0  1.78691314 -1.12310858  17   sp_13  0.343282350  1.41604345
    -#> 1814     1  1.78691314 -1.12310858   5   sp_14  0.343282350  1.41604345
    -#> 1815     0  1.78691314 -1.12310858  12   sp_15  0.343282350  1.41604345
    -#> 1816     0  1.78691314 -1.12310858   2   sp_16  0.343282350  1.41604345
    -#> 1817     1  1.78691314 -1.12310858  18   sp_17  0.343282350  1.41604345
    -#> 1818     0  1.78691314 -1.12310858   4   sp_18  0.343282350  1.41604345
    -#> 1819     1  1.78691314 -1.12310858  10   sp_19  0.343282350  1.41604345
    -#> 1820     0  1.78691314 -1.12310858  15   sp_20  0.343282350  1.41604345
    -#> 1821     0  1.78691314 -1.12310858   8   sp_21  0.343282350  1.41604345
    -#> 1822     0  1.78691314 -1.12310858   1   sp_22  0.343282350  1.41604345
    -#> 1823     0  1.78691314 -1.12310858  11   sp_23  0.343282350  1.41604345
    -#> 1824     0  1.78691314 -1.12310858   5   sp_24  0.343282350  1.41604345
    -#> 1825     1  1.78691314 -1.12310858  11   sp_25  0.343282350  1.41604345
    -#> 1826     1  1.78691314 -1.12310858  15   sp_26  0.343282350  1.41604345
    -#> 1827     0  1.78691314 -1.12310858  15   sp_27  0.343282350  1.41604345
    -#> 1828     1  1.78691314 -1.12310858  10   sp_28  0.343282350  1.41604345
    -#> 1829     0  1.78691314 -1.12310858  15   sp_29  0.343282350  1.41604345
    -#> 1830     0  1.78691314 -1.12310858  15   sp_30  0.343282350  1.41604345
    -#> 1921     0  0.49785048 -0.40288484  20    sp_1 -0.439619408 -0.09657875
    -#> 1922     0  0.49785048 -0.40288484  12    sp_2 -0.439619408 -0.09657875
    -#> 1923     0  0.49785048 -0.40288484   9    sp_3 -0.439619408 -0.09657875
    -#> 1924     0  0.49785048 -0.40288484   4    sp_4 -0.439619408 -0.09657875
    -#> 1925     0  0.49785048 -0.40288484   3    sp_5 -0.439619408 -0.09657875
    -#> 1926     0  0.49785048 -0.40288484   7    sp_6 -0.439619408 -0.09657875
    -#> 1927     0  0.49785048 -0.40288484   4    sp_7 -0.439619408 -0.09657875
    -#> 1928     0  0.49785048 -0.40288484   8    sp_8 -0.439619408 -0.09657875
    -#> 1929     0  0.49785048 -0.40288484   5    sp_9 -0.439619408 -0.09657875
    -#> 1930     0  0.49785048 -0.40288484   6   sp_10 -0.439619408 -0.09657875
    -#> 1931     1  0.49785048 -0.40288484   4   sp_11 -0.439619408 -0.09657875
    -#> 1932     1  0.49785048 -0.40288484   3   sp_12 -0.439619408 -0.09657875
    -#> 1933     0  0.49785048 -0.40288484  11   sp_13 -0.439619408 -0.09657875
    -#> 1934     0  0.49785048 -0.40288484  10   sp_14 -0.439619408 -0.09657875
    -#> 1935     0  0.49785048 -0.40288484   5   sp_15 -0.439619408 -0.09657875
    -#> 1936     0  0.49785048 -0.40288484  11   sp_16 -0.439619408 -0.09657875
    -#> 1937     0  0.49785048 -0.40288484  10   sp_17 -0.439619408 -0.09657875
    -#> 1938     1  0.49785048 -0.40288484  15   sp_18 -0.439619408 -0.09657875
    -#> 1939     1  0.49785048 -0.40288484  19   sp_19 -0.439619408 -0.09657875
    -#> 1940     0  0.49785048 -0.40288484  10   sp_20 -0.439619408 -0.09657875
    -#> 1941     0  0.49785048 -0.40288484  13   sp_21 -0.439619408 -0.09657875
    -#> 1942     0  0.49785048 -0.40288484   3   sp_22 -0.439619408 -0.09657875
    -#> 1943     0  0.49785048 -0.40288484  18   sp_23 -0.439619408 -0.09657875
    -#> 1944     0  0.49785048 -0.40288484  10   sp_24 -0.439619408 -0.09657875
    -#> 1945     0  0.49785048 -0.40288484   8   sp_25 -0.439619408 -0.09657875
    -#> 1946     1  0.49785048 -0.40288484  12   sp_26 -0.439619408 -0.09657875
    -#> 1947     0  0.49785048 -0.40288484  10   sp_27 -0.439619408 -0.09657875
    -#> 1948     0  0.49785048 -0.40288484   7   sp_28 -0.439619408 -0.09657875
    -#> 1949     0  0.49785048 -0.40288484   7   sp_29 -0.439619408 -0.09657875
    -#> 1950     0  0.49785048 -0.40288484   6   sp_30 -0.439619408 -0.09657875
    -#> 2041     0 -1.96661716 -0.46665535  17    sp_1  0.345096720 -0.55778849
    -#> 2042     0 -1.96661716 -0.46665535  20    sp_2  0.345096720 -0.55778849
    -#> 2043     0 -1.96661716 -0.46665535   1    sp_3  0.345096720 -0.55778849
    -#> 2044     0 -1.96661716 -0.46665535   5    sp_4  0.345096720 -0.55778849
    -#> 2045     0 -1.96661716 -0.46665535  10    sp_5  0.345096720 -0.55778849
    -#> 2046     0 -1.96661716 -0.46665535  13    sp_6  0.345096720 -0.55778849
    -#> 2047     0 -1.96661716 -0.46665535  10    sp_7  0.345096720 -0.55778849
    -#> 2048     0 -1.96661716 -0.46665535   2    sp_8  0.345096720 -0.55778849
    -#> 2049     1 -1.96661716 -0.46665535  15    sp_9  0.345096720 -0.55778849
    -#> 2050     0 -1.96661716 -0.46665535  15   sp_10  0.345096720 -0.55778849
    -#> 2051     0 -1.96661716 -0.46665535   8   sp_11  0.345096720 -0.55778849
    -#> 2052     0 -1.96661716 -0.46665535   3   sp_12  0.345096720 -0.55778849
    -#> 2053     0 -1.96661716 -0.46665535   2   sp_13  0.345096720 -0.55778849
    -#> 2054     0 -1.96661716 -0.46665535   6   sp_14  0.345096720 -0.55778849
    -#> 2055     0 -1.96661716 -0.46665535  14   sp_15  0.345096720 -0.55778849
    -#> 2056     0 -1.96661716 -0.46665535  15   sp_16  0.345096720 -0.55778849
    -#> 2057     0 -1.96661716 -0.46665535  19   sp_17  0.345096720 -0.55778849
    -#> 2058     0 -1.96661716 -0.46665535   9   sp_18  0.345096720 -0.55778849
    -#> 2059     0 -1.96661716 -0.46665535  15   sp_19  0.345096720 -0.55778849
    -#> 2060     0 -1.96661716 -0.46665535  16   sp_20  0.345096720 -0.55778849
    -#> 2061     0 -1.96661716 -0.46665535   8   sp_21  0.345096720 -0.55778849
    -#> 2062     0 -1.96661716 -0.46665535   9   sp_22  0.345096720 -0.55778849
    -#> 2063     0 -1.96661716 -0.46665535  16   sp_23  0.345096720 -0.55778849
    -#> 2064     0 -1.96661716 -0.46665535   9   sp_24  0.345096720 -0.55778849
    -#> 2065     0 -1.96661716 -0.46665535   2   sp_25  0.345096720 -0.55778849
    -#> 2066     0 -1.96661716 -0.46665535   9   sp_26  0.345096720 -0.55778849
    -#> 2067     0 -1.96661716 -0.46665535  11   sp_27  0.345096720 -0.55778849
    -#> 2068     0 -1.96661716 -0.46665535  11   sp_28  0.345096720 -0.55778849
    -#> 2069     0 -1.96661716 -0.46665535   4   sp_29  0.345096720 -0.55778849
    -#> 2070     0 -1.96661716 -0.46665535   7   sp_30  0.345096720 -0.55778849
    -#> 2161     0  0.70135590  0.77996512  18    sp_1 -0.919759738 -0.31845834
    -#> 2162     0  0.70135590  0.77996512  11    sp_2 -0.919759738 -0.31845834
    -#> 2163     0  0.70135590  0.77996512   1    sp_3 -0.919759738 -0.31845834
    -#> 2164     0  0.70135590  0.77996512  11    sp_4 -0.919759738 -0.31845834
    -#> 2165     0  0.70135590  0.77996512   6    sp_5 -0.919759738 -0.31845834
    -#> 2166     0  0.70135590  0.77996512  10    sp_6 -0.919759738 -0.31845834
    -#> 2167     0  0.70135590  0.77996512  18    sp_7 -0.919759738 -0.31845834
    -#> 2168     0  0.70135590  0.77996512   3    sp_8 -0.919759738 -0.31845834
    -#> 2169     0  0.70135590  0.77996512   3    sp_9 -0.919759738 -0.31845834
    -#> 2170     0  0.70135590  0.77996512   2   sp_10 -0.919759738 -0.31845834
    -#> 2171     1  0.70135590  0.77996512   8   sp_11 -0.919759738 -0.31845834
    -#> 2172     0  0.70135590  0.77996512  13   sp_12 -0.919759738 -0.31845834
    -#> 2173     0  0.70135590  0.77996512   8   sp_13 -0.919759738 -0.31845834
    -#> 2174     1  0.70135590  0.77996512   2   sp_14 -0.919759738 -0.31845834
    -#> 2175     0  0.70135590  0.77996512   6   sp_15 -0.919759738 -0.31845834
    -#> 2176     0  0.70135590  0.77996512  17   sp_16 -0.919759738 -0.31845834
    -#> 2177     0  0.70135590  0.77996512  14   sp_17 -0.919759738 -0.31845834
    -#> 2178     0  0.70135590  0.77996512   7   sp_18 -0.919759738 -0.31845834
    -#> 2179     0  0.70135590  0.77996512  13   sp_19 -0.919759738 -0.31845834
    -#> 2180     0  0.70135590  0.77996512   8   sp_20 -0.919759738 -0.31845834
    -#> 2181     0  0.70135590  0.77996512   6   sp_21 -0.919759738 -0.31845834
    -#> 2182     0  0.70135590  0.77996512  11   sp_22 -0.919759738 -0.31845834
    -#> 2183     0  0.70135590  0.77996512  10   sp_23 -0.919759738 -0.31845834
    -#> 2184     0  0.70135590  0.77996512  17   sp_24 -0.919759738 -0.31845834
    -#> 2185     0  0.70135590  0.77996512   7   sp_25 -0.919759738 -0.31845834
    -#> 2186     0  0.70135590  0.77996512  12   sp_26 -0.919759738 -0.31845834
    -#> 2187     0  0.70135590  0.77996512  19   sp_27 -0.919759738 -0.31845834
    -#> 2188     0  0.70135590  0.77996512  17   sp_28 -0.919759738 -0.31845834
    -#> 2189     0  0.70135590  0.77996512   8   sp_29 -0.919759738 -0.31845834
    -#> 2190     0  0.70135590  0.77996512  15   sp_30 -0.919759738 -0.31845834
    -#> 2281     1 -0.47279141 -0.08336907  14    sp_1  1.783110817 -0.22054191
    -#> 2282     0 -0.47279141 -0.08336907  14    sp_2  1.783110817 -0.22054191
    -#> 2283     0 -0.47279141 -0.08336907  17    sp_3  1.783110817 -0.22054191
    -#> 2284     1 -0.47279141 -0.08336907   1    sp_4  1.783110817 -0.22054191
    -#> 2285     0 -0.47279141 -0.08336907  18    sp_5  1.783110817 -0.22054191
    -#> 2286     0 -0.47279141 -0.08336907  18    sp_6  1.783110817 -0.22054191
    -#> 2287     0 -0.47279141 -0.08336907  20    sp_7  1.783110817 -0.22054191
    -#> 2288     0 -0.47279141 -0.08336907  10    sp_8  1.783110817 -0.22054191
    -#> 2289     1 -0.47279141 -0.08336907  10    sp_9  1.783110817 -0.22054191
    -#> 2290     0 -0.47279141 -0.08336907   9   sp_10  1.783110817 -0.22054191
    -#> 2291     1 -0.47279141 -0.08336907  19   sp_11  1.783110817 -0.22054191
    -#> 2292     0 -0.47279141 -0.08336907  18   sp_12  1.783110817 -0.22054191
    -#> 2293     0 -0.47279141 -0.08336907  18   sp_13  1.783110817 -0.22054191
    -#> 2294     1 -0.47279141 -0.08336907  12   sp_14  1.783110817 -0.22054191
    -#> 2295     1 -0.47279141 -0.08336907  12   sp_15  1.783110817 -0.22054191
    -#> 2296     0 -0.47279141 -0.08336907   4   sp_16  1.783110817 -0.22054191
    -#> 2297     0 -0.47279141 -0.08336907  20   sp_17  1.783110817 -0.22054191
    -#> 2298     1 -0.47279141 -0.08336907  10   sp_18  1.783110817 -0.22054191
    -#> 2299     0 -0.47279141 -0.08336907   5   sp_19  1.783110817 -0.22054191
    -#> 2300     1 -0.47279141 -0.08336907   2   sp_20  1.783110817 -0.22054191
    -#> 2301     0 -0.47279141 -0.08336907  18   sp_21  1.783110817 -0.22054191
    -#> 2302     1 -0.47279141 -0.08336907  12   sp_22  1.783110817 -0.22054191
    -#> 2303     0 -0.47279141 -0.08336907  13   sp_23  1.783110817 -0.22054191
    -#> 2304     0 -0.47279141 -0.08336907  11   sp_24  1.783110817 -0.22054191
    -#> 2305     0 -0.47279141 -0.08336907  19   sp_25  1.783110817 -0.22054191
    -#> 2306     0 -0.47279141 -0.08336907   6   sp_26  1.783110817 -0.22054191
    -#> 2307     0 -0.47279141 -0.08336907  18   sp_27  1.783110817 -0.22054191
    -#> 2308     0 -0.47279141 -0.08336907  10   sp_28  1.783110817 -0.22054191
    -#> 2309     0 -0.47279141 -0.08336907   9   sp_29  1.783110817 -0.22054191
    -#> 2310     0 -0.47279141 -0.08336907   3   sp_30  1.783110817 -0.22054191
    -#> 2401     0 -1.06782371  0.25331851  19    sp_1 -1.421711896 -0.57964814
    -#> 2402     0 -1.06782371  0.25331851   8    sp_2 -1.421711896 -0.57964814
    -#> 2403     0 -1.06782371  0.25331851  13    sp_3 -1.421711896 -0.57964814
    -#> 2404     0 -1.06782371  0.25331851   1    sp_4 -1.421711896 -0.57964814
    -#> 2405     0 -1.06782371  0.25331851   2    sp_5 -1.421711896 -0.57964814
    -#> 2406     0 -1.06782371  0.25331851  11    sp_6 -1.421711896 -0.57964814
    -#> 2407     0 -1.06782371  0.25331851  16    sp_7 -1.421711896 -0.57964814
    -#> 2408     0 -1.06782371  0.25331851   5    sp_8 -1.421711896 -0.57964814
    -#> 2409     0 -1.06782371  0.25331851   4    sp_9 -1.421711896 -0.57964814
    -#> 2410     0 -1.06782371  0.25331851   3   sp_10 -1.421711896 -0.57964814
    -#> 2411     0 -1.06782371  0.25331851  15   sp_11 -1.421711896 -0.57964814
    -#> 2412     0 -1.06782371  0.25331851  10   sp_12 -1.421711896 -0.57964814
    -#> 2413     0 -1.06782371  0.25331851   7   sp_13 -1.421711896 -0.57964814
    -#> 2414     0 -1.06782371  0.25331851   7   sp_14 -1.421711896 -0.57964814
    -#> 2415     0 -1.06782371  0.25331851   2   sp_15 -1.421711896 -0.57964814
    -#> 2416     0 -1.06782371  0.25331851  18   sp_16 -1.421711896 -0.57964814
    -#> 2417     0 -1.06782371  0.25331851  18   sp_17 -1.421711896 -0.57964814
    -#> 2418     0 -1.06782371  0.25331851   3   sp_18 -1.421711896 -0.57964814
    -#> 2419     0 -1.06782371  0.25331851   8   sp_19 -1.421711896 -0.57964814
    -#> 2420     0 -1.06782371  0.25331851  14   sp_20 -1.421711896 -0.57964814
    -#> 2421     0 -1.06782371  0.25331851   9   sp_21 -1.421711896 -0.57964814
    -#> 2422     0 -1.06782371  0.25331851  15   sp_22 -1.421711896 -0.57964814
    -#> 2423     0 -1.06782371  0.25331851  17   sp_23 -1.421711896 -0.57964814
    -#> 2424     0 -1.06782371  0.25331851   7   sp_24 -1.421711896 -0.57964814
    -#> 2425     0 -1.06782371  0.25331851   8   sp_25 -1.421711896 -0.57964814
    -#> 2426     0 -1.06782371  0.25331851   1   sp_26 -1.421711896 -0.57964814
    -#> 2427     0 -1.06782371  0.25331851   9   sp_27 -1.421711896 -0.57964814
    -#> 2428     0 -1.06782371  0.25331851   3   sp_28 -1.421711896 -0.57964814
    -#> 2429     1 -1.06782371  0.25331851   2   sp_29 -1.421711896 -0.57964814
    -#> 2430     0 -1.06782371  0.25331851  11   sp_30 -1.421711896 -0.57964814
    -#> 2521     1 -0.21797491 -0.02854676   4    sp_1  1.642183362  0.18891799
    -#> 2522     0 -0.21797491 -0.02854676   8    sp_2  1.642183362  0.18891799
    -#> 2523     0 -0.21797491 -0.02854676  20    sp_3  1.642183362  0.18891799
    -#> 2524     1 -0.21797491 -0.02854676  11    sp_4  1.642183362  0.18891799
    -#> 2525     0 -0.21797491 -0.02854676  18    sp_5  1.642183362  0.18891799
    -#> 2526     0 -0.21797491 -0.02854676  14    sp_6  1.642183362  0.18891799
    -#> 2527     0 -0.21797491 -0.02854676   3    sp_7  1.642183362  0.18891799
    -#> 2528     0 -0.21797491 -0.02854676   3    sp_8  1.642183362  0.18891799
    -#> 2529     0 -0.21797491 -0.02854676  14    sp_9  1.642183362  0.18891799
    -#> 2530     0 -0.21797491 -0.02854676   7   sp_10  1.642183362  0.18891799
    -#> 2531     0 -0.21797491 -0.02854676  15   sp_11  1.642183362  0.18891799
    -#> 2532     0 -0.21797491 -0.02854676   8   sp_12  1.642183362  0.18891799
    -#> 2533     0 -0.21797491 -0.02854676   1   sp_13  1.642183362  0.18891799
    -#> 2534     0 -0.21797491 -0.02854676   5   sp_14  1.642183362  0.18891799
    -#> 2535     1 -0.21797491 -0.02854676  17   sp_15  1.642183362  0.18891799
    -#> 2536     0 -0.21797491 -0.02854676   6   sp_16  1.642183362  0.18891799
    -#> 2537     0 -0.21797491 -0.02854676  10   sp_17  1.642183362  0.18891799
    -#> 2538     1 -0.21797491 -0.02854676  12   sp_18  1.642183362  0.18891799
    -#> 2539     0 -0.21797491 -0.02854676   8   sp_19  1.642183362  0.18891799
    -#> 2540     0 -0.21797491 -0.02854676  16   sp_20  1.642183362  0.18891799
    -#> 2541     0 -0.21797491 -0.02854676   7   sp_21  1.642183362  0.18891799
    -#> 2542     0 -0.21797491 -0.02854676   7   sp_22  1.642183362  0.18891799
    -#> 2543     0 -0.21797491 -0.02854676   1   sp_23  1.642183362  0.18891799
    -#> 2544     0 -0.21797491 -0.02854676  11   sp_24  1.642183362  0.18891799
    -#> 2545     0 -0.21797491 -0.02854676   3   sp_25  1.642183362  0.18891799
    -#> 2546     0 -0.21797491 -0.02854676  17   sp_26  1.642183362  0.18891799
    -#> 2547     0 -0.21797491 -0.02854676  20   sp_27  1.642183362  0.18891799
    -#> 2548     1 -0.21797491 -0.02854676   3   sp_28  1.642183362  0.18891799
    -#> 2549     0 -0.21797491 -0.02854676  14   sp_29  1.642183362  0.18891799
    -#> 2550     0 -0.21797491 -0.02854676   5   sp_30  1.642183362  0.18891799
    -#> 2641     0 -1.02600445 -0.04287046  18    sp_1  0.124236888 -0.35126512
    -#> 2642     0 -1.02600445 -0.04287046   8    sp_2  0.124236888 -0.35126512
    -#> 2643     0 -1.02600445 -0.04287046  20    sp_3  0.124236888 -0.35126512
    -#> 2644     0 -1.02600445 -0.04287046  10    sp_4  0.124236888 -0.35126512
    -#> 2645     1 -1.02600445 -0.04287046  18    sp_5  0.124236888 -0.35126512
    -#> 2646     0 -1.02600445 -0.04287046  17    sp_6  0.124236888 -0.35126512
    -#> 2647     0 -1.02600445 -0.04287046   9    sp_7  0.124236888 -0.35126512
    -#> 2648     0 -1.02600445 -0.04287046   3    sp_8  0.124236888 -0.35126512
    -#> 2649     0 -1.02600445 -0.04287046   5    sp_9  0.124236888 -0.35126512
    -#> 2650     0 -1.02600445 -0.04287046  16   sp_10  0.124236888 -0.35126512
    -#> 2651     0 -1.02600445 -0.04287046  20   sp_11  0.124236888 -0.35126512
    -#> 2652     0 -1.02600445 -0.04287046   3   sp_12  0.124236888 -0.35126512
    -#> 2653     0 -1.02600445 -0.04287046   3   sp_13  0.124236888 -0.35126512
    -#> 2654     0 -1.02600445 -0.04287046  13   sp_14  0.124236888 -0.35126512
    -#> 2655     0 -1.02600445 -0.04287046   4   sp_15  0.124236888 -0.35126512
    -#> 2656     0 -1.02600445 -0.04287046  15   sp_16  0.124236888 -0.35126512
    -#> 2657     0 -1.02600445 -0.04287046  19   sp_17  0.124236888 -0.35126512
    -#> 2658     0 -1.02600445 -0.04287046  13   sp_18  0.124236888 -0.35126512
    -#> 2659     1 -1.02600445 -0.04287046  12   sp_19  0.124236888 -0.35126512
    -#> 2660     0 -1.02600445 -0.04287046  20   sp_20  0.124236888 -0.35126512
    -#> 2661     0 -1.02600445 -0.04287046  13   sp_21  0.124236888 -0.35126512
    -#> 2662     0 -1.02600445 -0.04287046  13   sp_22  0.124236888 -0.35126512
    -#> 2663     0 -1.02600445 -0.04287046   3   sp_23  0.124236888 -0.35126512
    -#> 2664     0 -1.02600445 -0.04287046  20   sp_24  0.124236888 -0.35126512
    -#> 2665     0 -1.02600445 -0.04287046   5   sp_25  0.124236888 -0.35126512
    -#> 2666     0 -1.02600445 -0.04287046  13   sp_26  0.124236888 -0.35126512
    -#> 2667     1 -1.02600445 -0.04287046  12   sp_27  0.124236888 -0.35126512
    -#> 2668     0 -1.02600445 -0.04287046   8   sp_28  0.124236888 -0.35126512
    -#> 2669     0 -1.02600445 -0.04287046   6   sp_29  0.124236888 -0.35126512
    -#> 2670     0 -1.02600445 -0.04287046  16   sp_30  0.124236888 -0.35126512
    -#> 2761     0 -0.72889123  1.36860228  11    sp_1  0.001123313 -0.24455126
    -#> 2762     0 -0.72889123  1.36860228  12    sp_2  0.001123313 -0.24455126
    -#> 2763     0 -0.72889123  1.36860228  16    sp_3  0.001123313 -0.24455126
    -#> 2764     0 -0.72889123  1.36860228  15    sp_4  0.001123313 -0.24455126
    -#> 2765     0 -0.72889123  1.36860228   1    sp_5  0.001123313 -0.24455126
    -#> 2766     0 -0.72889123  1.36860228  12    sp_6  0.001123313 -0.24455126
    -#> 2767     0 -0.72889123  1.36860228  10    sp_7  0.001123313 -0.24455126
    -#> 2768     0 -0.72889123  1.36860228  10    sp_8  0.001123313 -0.24455126
    -#> 2769     0 -0.72889123  1.36860228   4    sp_9  0.001123313 -0.24455126
    -#> 2770     0 -0.72889123  1.36860228   9   sp_10  0.001123313 -0.24455126
    -#> 2771     0 -0.72889123  1.36860228  20   sp_11  0.001123313 -0.24455126
    -#> 2772     0 -0.72889123  1.36860228   5   sp_12  0.001123313 -0.24455126
    -#> 2773     0 -0.72889123  1.36860228   9   sp_13  0.001123313 -0.24455126
    -#> 2774     0 -0.72889123  1.36860228  19   sp_14  0.001123313 -0.24455126
    -#> 2775     0 -0.72889123  1.36860228   3   sp_15  0.001123313 -0.24455126
    -#> 2776     0 -0.72889123  1.36860228   2   sp_16  0.001123313 -0.24455126
    -#> 2777     0 -0.72889123  1.36860228  12   sp_17  0.001123313 -0.24455126
    -#> 2778     0 -0.72889123  1.36860228  15   sp_18  0.001123313 -0.24455126
    -#> 2779     0 -0.72889123  1.36860228  17   sp_19  0.001123313 -0.24455126
    -#> 2780     0 -0.72889123  1.36860228   3   sp_20  0.001123313 -0.24455126
    -#> 2781     0 -0.72889123  1.36860228   7   sp_21  0.001123313 -0.24455126
    -#> 2782     0 -0.72889123  1.36860228  13   sp_22  0.001123313 -0.24455126
    -#> 2783     0 -0.72889123  1.36860228  14   sp_23  0.001123313 -0.24455126
    -#> 2784     0 -0.72889123  1.36860228   2   sp_24  0.001123313 -0.24455126
    -#> 2785     0 -0.72889123  1.36860228   9   sp_25  0.001123313 -0.24455126
    -#> 2786     0 -0.72889123  1.36860228  15   sp_26  0.001123313 -0.24455126
    -#> 2787     0 -0.72889123  1.36860228   1   sp_27  0.001123313 -0.24455126
    -#> 2788     0 -0.72889123  1.36860228  10   sp_28  0.001123313 -0.24455126
    -#> 2789     0 -0.72889123  1.36860228   9   sp_29  0.001123313 -0.24455126
    -#> 2790     0 -0.72889123  1.36860228   9   sp_30  0.001123313 -0.24455126
    -#> 2881     0 -0.62503927 -0.22577099   7    sp_1 -1.328975923  1.09479379
    -#> 2882     0 -0.62503927 -0.22577099  18    sp_2 -1.328975923  1.09479379
    -#> 2883     1 -0.62503927 -0.22577099  12    sp_3 -1.328975923  1.09479379
    -#> 2884     0 -0.62503927 -0.22577099   6    sp_4 -1.328975923  1.09479379
    -#> 2885     0 -0.62503927 -0.22577099   7    sp_5 -1.328975923  1.09479379
    -#> 2886     0 -0.62503927 -0.22577099  16    sp_6 -1.328975923  1.09479379
    -#> 2887     0 -0.62503927 -0.22577099  16    sp_7 -1.328975923  1.09479379
    -#> 2888     0 -0.62503927 -0.22577099   2    sp_8 -1.328975923  1.09479379
    -#> 2889     0 -0.62503927 -0.22577099   2    sp_9 -1.328975923  1.09479379
    -#> 2890     0 -0.62503927 -0.22577099  14   sp_10 -1.328975923  1.09479379
    -#> 2891     0 -0.62503927 -0.22577099   7   sp_11 -1.328975923  1.09479379
    -#> 2892     0 -0.62503927 -0.22577099   6   sp_12 -1.328975923  1.09479379
    -#> 2893     0 -0.62503927 -0.22577099   4   sp_13 -1.328975923  1.09479379
    -#> 2894     0 -0.62503927 -0.22577099   3   sp_14 -1.328975923  1.09479379
    -#> 2895     0 -0.62503927 -0.22577099  14   sp_15 -1.328975923  1.09479379
    -#> 2896     0 -0.62503927 -0.22577099  19   sp_16 -1.328975923  1.09479379
    -#> 2897     0 -0.62503927 -0.22577099  14   sp_17 -1.328975923  1.09479379
    -#> 2898     0 -0.62503927 -0.22577099  16   sp_18 -1.328975923  1.09479379
    -#> 2899     0 -0.62503927 -0.22577099  10   sp_19 -1.328975923  1.09479379
    -#> 2900     0 -0.62503927 -0.22577099  12   sp_20 -1.328975923  1.09479379
    -#> 2901     0 -0.62503927 -0.22577099  18   sp_21 -1.328975923  1.09479379
    -#> 2902     0 -0.62503927 -0.22577099   3   sp_22 -1.328975923  1.09479379
    -#> 2903     0 -0.62503927 -0.22577099   1   sp_23 -1.328975923  1.09479379
    -#> 2904     0 -0.62503927 -0.22577099  12   sp_24 -1.328975923  1.09479379
    -#> 2905     0 -0.62503927 -0.22577099  17   sp_25 -1.328975923  1.09479379
    -#> 2906     0 -0.62503927 -0.22577099   1   sp_26 -1.328975923  1.09479379
    -#> 2907     0 -0.62503927 -0.22577099   4   sp_27 -1.328975923  1.09479379
    -#> 2908     0 -0.62503927 -0.22577099  19   sp_28 -1.328975923  1.09479379
    -#> 2909     0 -0.62503927 -0.22577099  13   sp_29 -1.328975923  1.09479379
    -#> 2910     0 -0.62503927 -0.22577099  18   sp_30 -1.328975923  1.09479379
    -#> 3001     0 -1.68669331  1.51647060  15    sp_1  0.779726615 -1.51078277
    -#> 3002     0 -1.68669331  1.51647060  13    sp_2  0.779726615 -1.51078277
    -#> 3003     0 -1.68669331  1.51647060  14    sp_3  0.779726615 -1.51078277
    -#> 3004     0 -1.68669331  1.51647060  18    sp_4  0.779726615 -1.51078277
    -#> 3005     0 -1.68669331  1.51647060  12    sp_5  0.779726615 -1.51078277
    -#> 3006     0 -1.68669331  1.51647060  18    sp_6  0.779726615 -1.51078277
    -#> 3007     0 -1.68669331  1.51647060   7    sp_7  0.779726615 -1.51078277
    -#> 3008     0 -1.68669331  1.51647060   4    sp_8  0.779726615 -1.51078277
    -#> 3009     0 -1.68669331  1.51647060   4    sp_9  0.779726615 -1.51078277
    -#> 3010     0 -1.68669331  1.51647060   3   sp_10  0.779726615 -1.51078277
    -#> 3011     0 -1.68669331  1.51647060  11   sp_11  0.779726615 -1.51078277
    -#> 3012     0 -1.68669331  1.51647060  19   sp_12  0.779726615 -1.51078277
    -#> 3013     0 -1.68669331  1.51647060  16   sp_13  0.779726615 -1.51078277
    -#> 3014     0 -1.68669331  1.51647060  15   sp_14  0.779726615 -1.51078277
    -#> 3015     0 -1.68669331  1.51647060  11   sp_15  0.779726615 -1.51078277
    -#> 3016     0 -1.68669331  1.51647060   6   sp_16  0.779726615 -1.51078277
    -#> 3017     0 -1.68669331  1.51647060   5   sp_17  0.779726615 -1.51078277
    -#> 3018     0 -1.68669331  1.51647060   2   sp_18  0.779726615 -1.51078277
    -#> 3019     0 -1.68669331  1.51647060  17   sp_19  0.779726615 -1.51078277
    -#> 3020     0 -1.68669331  1.51647060   5   sp_20  0.779726615 -1.51078277
    -#> 3021     0 -1.68669331  1.51647060  19   sp_21  0.779726615 -1.51078277
    -#> 3022     0 -1.68669331  1.51647060  15   sp_22  0.779726615 -1.51078277
    -#> 3023     0 -1.68669331  1.51647060  19   sp_23  0.779726615 -1.51078277
    -#> 3024     0 -1.68669331  1.51647060   3   sp_24  0.779726615 -1.51078277
    -#> 3025     0 -1.68669331  1.51647060  15   sp_25  0.779726615 -1.51078277
    -#> 3026     0 -1.68669331  1.51647060   3   sp_26  0.779726615 -1.51078277
    -#> 3027     0 -1.68669331  1.51647060   2   sp_27  0.779726615 -1.51078277
    -#> 3028     0 -1.68669331  1.51647060   5   sp_28  0.779726615 -1.51078277
    -#> 3029     0 -1.68669331  1.51647060   5   sp_29  0.779726615 -1.51078277
    -#> 3030     0 -1.68669331  1.51647060   7   sp_30  0.779726615 -1.51078277
    -#> 3121     1  0.83778704 -1.54875280   2    sp_1  1.290447486 -0.49645077
    -#> 3122     1  0.83778704 -1.54875280  16    sp_2  1.290447486 -0.49645077
    -#> 3123     1  0.83778704 -1.54875280   8    sp_3  1.290447486 -0.49645077
    -#> 3124     0  0.83778704 -1.54875280  18    sp_4  1.290447486 -0.49645077
    -#> 3125     1  0.83778704 -1.54875280  19    sp_5  1.290447486 -0.49645077
    -#> 3126     0  0.83778704 -1.54875280   9    sp_6  1.290447486 -0.49645077
    -#> 3127     1  0.83778704 -1.54875280  19    sp_7  1.290447486 -0.49645077
    -#> 3128     1  0.83778704 -1.54875280  14    sp_8  1.290447486 -0.49645077
    -#> 3129     1  0.83778704 -1.54875280  19    sp_9  1.290447486 -0.49645077
    -#> 3130     0  0.83778704 -1.54875280   5   sp_10  1.290447486 -0.49645077
    -#> 3131     0  0.83778704 -1.54875280  13   sp_11  1.290447486 -0.49645077
    -#> 3132     0  0.83778704 -1.54875280  16   sp_12  1.290447486 -0.49645077
    -#> 3133     0  0.83778704 -1.54875280   7   sp_13  1.290447486 -0.49645077
    -#> 3134     0  0.83778704 -1.54875280   8   sp_14  1.290447486 -0.49645077
    -#> 3135     0  0.83778704 -1.54875280  16   sp_15  1.290447486 -0.49645077
    -#> 3136     0  0.83778704 -1.54875280  15   sp_16  1.290447486 -0.49645077
    -#> 3137     1  0.83778704 -1.54875280  20   sp_17  1.290447486 -0.49645077
    -#> 3138     0  0.83778704 -1.54875280   3   sp_18  1.290447486 -0.49645077
    -#> 3139     1  0.83778704 -1.54875280  17   sp_19  1.290447486 -0.49645077
    -#> 3140     1  0.83778704 -1.54875280   7   sp_20  1.290447486 -0.49645077
    -#> 3141     0  0.83778704 -1.54875280  13   sp_21  1.290447486 -0.49645077
    -#> 3142     1  0.83778704 -1.54875280   3   sp_22  1.290447486 -0.49645077
    -#> 3143     0  0.83778704 -1.54875280  13   sp_23  1.290447486 -0.49645077
    -#> 3144     1  0.83778704 -1.54875280  14   sp_24  1.290447486 -0.49645077
    -#> 3145     0  0.83778704 -1.54875280   4   sp_25  1.290447486 -0.49645077
    -#> 3146     0  0.83778704 -1.54875280  16   sp_26  1.290447486 -0.49645077
    -#> 3147     1  0.83778704 -1.54875280   9   sp_27  1.290447486 -0.49645077
    -#> 3148     0  0.83778704 -1.54875280  16   sp_28  1.290447486 -0.49645077
    -#> 3149     0  0.83778704 -1.54875280   9   sp_29  1.290447486 -0.49645077
    -#> 3150     1  0.83778704 -1.54875280   5   sp_30  1.290447486 -0.49645077
    -#> 3241     0  0.15337312  0.58461375  14    sp_1 -1.020567780  0.61989576
    -#> 3242     0  0.15337312  0.58461375  12    sp_2 -1.020567780  0.61989576
    -#> 3243     0  0.15337312  0.58461375  14    sp_3 -1.020567780  0.61989576
    -#> 3244     0  0.15337312  0.58461375  13    sp_4 -1.020567780  0.61989576
    -#> 3245     1  0.15337312  0.58461375  20    sp_5 -1.020567780  0.61989576
    -#> 3246     0  0.15337312  0.58461375  15    sp_6 -1.020567780  0.61989576
    -#> 3247     0  0.15337312  0.58461375   8    sp_7 -1.020567780  0.61989576
    -#> 3248     0  0.15337312  0.58461375  13    sp_8 -1.020567780  0.61989576
    -#> 3249     1  0.15337312  0.58461375   7    sp_9 -1.020567780  0.61989576
    -#> 3250     0  0.15337312  0.58461375   5   sp_10 -1.020567780  0.61989576
    -#> 3251     0  0.15337312  0.58461375   8   sp_11 -1.020567780  0.61989576
    -#> 3252     0  0.15337312  0.58461375  15   sp_12 -1.020567780  0.61989576
    -#> 3253     0  0.15337312  0.58461375  14   sp_13 -1.020567780  0.61989576
    -#> 3254     1  0.15337312  0.58461375  16   sp_14 -1.020567780  0.61989576
    -#> 3255     0  0.15337312  0.58461375   1   sp_15 -1.020567780  0.61989576
    -#> 3256     0  0.15337312  0.58461375  14   sp_16 -1.020567780  0.61989576
    -#> 3257     0  0.15337312  0.58461375  17   sp_17 -1.020567780  0.61989576
    -#> 3258     0  0.15337312  0.58461375   7   sp_18 -1.020567780  0.61989576
    -#> 3259     0  0.15337312  0.58461375   7   sp_19 -1.020567780  0.61989576
    -#> 3260     0  0.15337312  0.58461375  13   sp_20 -1.020567780  0.61989576
    -#> 3261     0  0.15337312  0.58461375  15   sp_21 -1.020567780  0.61989576
    -#> 3262     1  0.15337312  0.58461375  12   sp_22 -1.020567780  0.61989576
    -#> 3263     0  0.15337312  0.58461375  14   sp_23 -1.020567780  0.61989576
    -#> 3264     0  0.15337312  0.58461375  19   sp_24 -1.020567780  0.61989576
    -#> 3265     0  0.15337312  0.58461375  19   sp_25 -1.020567780  0.61989576
    -#> 3266     0  0.15337312  0.58461375  17   sp_26 -1.020567780  0.61989576
    -#> 3267     0  0.15337312  0.58461375   9   sp_27 -1.020567780  0.61989576
    -#> 3268     0  0.15337312  0.58461375  13   sp_28 -1.020567780  0.61989576
    -#> 3269     0  0.15337312  0.58461375  14   sp_29 -1.020567780  0.61989576
    -#> 3270     0  0.15337312  0.58461375   6   sp_30 -1.020567780  0.61989576
    -#> 3361     0 -1.13813694  0.12385424   1    sp_1  0.704704540  2.00602552
    -#> 3362     0 -1.13813694  0.12385424  16    sp_2  0.704704540  2.00602552
    -#> 3363     0 -1.13813694  0.12385424   8    sp_3  0.704704540  2.00602552
    -#> 3364     0 -1.13813694  0.12385424   5    sp_4  0.704704540  2.00602552
    -#> 3365     0 -1.13813694  0.12385424  10    sp_5  0.704704540  2.00602552
    -#> 3366     0 -1.13813694  0.12385424   9    sp_6  0.704704540  2.00602552
    -#> 3367     0 -1.13813694  0.12385424   5    sp_7  0.704704540  2.00602552
    -#> 3368     0 -1.13813694  0.12385424  14    sp_8  0.704704540  2.00602552
    -#> 3369     0 -1.13813694  0.12385424  19    sp_9  0.704704540  2.00602552
    -#> 3370     0 -1.13813694  0.12385424   1   sp_10  0.704704540  2.00602552
    -#> 3371     0 -1.13813694  0.12385424  16   sp_11  0.704704540  2.00602552
    -#> 3372     0 -1.13813694  0.12385424   6   sp_12  0.704704540  2.00602552
    -#> 3373     0 -1.13813694  0.12385424  20   sp_13  0.704704540  2.00602552
    -#> 3374     0 -1.13813694  0.12385424   8   sp_14  0.704704540  2.00602552
    -#> 3375     0 -1.13813694  0.12385424  14   sp_15  0.704704540  2.00602552
    -#> 3376     0 -1.13813694  0.12385424  14   sp_16  0.704704540  2.00602552
    -#> 3377     0 -1.13813694  0.12385424   8   sp_17  0.704704540  2.00602552
    -#> 3378     0 -1.13813694  0.12385424  11   sp_18  0.704704540  2.00602552
    -#> 3379     0 -1.13813694  0.12385424  20   sp_19  0.704704540  2.00602552
    -#> 3380     0 -1.13813694  0.12385424   5   sp_20  0.704704540  2.00602552
    -#> 3381     0 -1.13813694  0.12385424  14   sp_21  0.704704540  2.00602552
    -#> 3382     0 -1.13813694  0.12385424   1   sp_22  0.704704540  2.00602552
    -#> 3383     0 -1.13813694  0.12385424   1   sp_23  0.704704540  2.00602552
    -#> 3384     0 -1.13813694  0.12385424   5   sp_24  0.704704540  2.00602552
    -#> 3385     0 -1.13813694  0.12385424   3   sp_25  0.704704540  2.00602552
    -#> 3386     0 -1.13813694  0.12385424   4   sp_26  0.704704540  2.00602552
    -#> 3387     0 -1.13813694  0.12385424   3   sp_27  0.704704540  2.00602552
    -#> 3388     0 -1.13813694  0.12385424  14   sp_28  0.704704540  2.00602552
    -#> 3389     0 -1.13813694  0.12385424  18   sp_29  0.704704540  2.00602552
    -#> 3390     0 -1.13813694  0.12385424  10   sp_30  0.704704540  2.00602552
    -#> 3481     1  1.25381492  0.21594157  12    sp_1  1.328751933  0.21194168
    -#> 3482     1  1.25381492  0.21594157  16    sp_2  1.328751933  0.21194168
    -#> 3483     0  1.25381492  0.21594157   3    sp_3  1.328751933  0.21194168
    -#> 3484     0  1.25381492  0.21594157  12    sp_4  1.328751933  0.21194168
    -#> 3485     0  1.25381492  0.21594157   5    sp_5  1.328751933  0.21194168
    -#> 3486     0  1.25381492  0.21594157  13    sp_6  1.328751933  0.21194168
    -#> 3487     0  1.25381492  0.21594157   8    sp_7  1.328751933  0.21194168
    -#> 3488     1  1.25381492  0.21594157  17    sp_8  1.328751933  0.21194168
    -#> 3489     0  1.25381492  0.21594157   5    sp_9  1.328751933  0.21194168
    -#> 3490     0  1.25381492  0.21594157  19   sp_10  1.328751933  0.21194168
    -#> 3491     0  1.25381492  0.21594157   6   sp_11  1.328751933  0.21194168
    -#> 3492     1  1.25381492  0.21594157   2   sp_12  1.328751933  0.21194168
    -#> 3493     1  1.25381492  0.21594157  17   sp_13  1.328751933  0.21194168
    -#> 3494     1  1.25381492  0.21594157  17   sp_14  1.328751933  0.21194168
    -#> 3495     0  1.25381492  0.21594157   8   sp_15  1.328751933  0.21194168
    -#> 3496     0  1.25381492  0.21594157  19   sp_16  1.328751933  0.21194168
    -#> 3497     1  1.25381492  0.21594157  18   sp_17  1.328751933  0.21194168
    -#> 3498     0  1.25381492  0.21594157  19   sp_18  1.328751933  0.21194168
    -#> 3499     1  1.25381492  0.21594157   5   sp_19  1.328751933  0.21194168
    -#> 3500     0  1.25381492  0.21594157  14   sp_20  1.328751933  0.21194168
    -#> 3501     1  1.25381492  0.21594157  12   sp_21  1.328751933  0.21194168
    -#> 3502     0  1.25381492  0.21594157   1   sp_22  1.328751933  0.21194168
    -#> 3503     1  1.25381492  0.21594157  16   sp_23  1.328751933  0.21194168
    -#> 3504     0  1.25381492  0.21594157  18   sp_24  1.328751933  0.21194168
    -#> 3505     1  1.25381492  0.21594157  20   sp_25  1.328751933  0.21194168
    -#> 3506     0  1.25381492  0.21594157   7   sp_26  1.328751933  0.21194168
    -#> 3507     1  1.25381492  0.21594157   5   sp_27  1.328751933  0.21194168
    -#> 3508     0  1.25381492  0.21594157  10   sp_28  1.328751933  0.21194168
    -#> 3509     0  1.25381492  0.21594157   4   sp_29  1.328751933  0.21194168
    -#> 3510     0  1.25381492  0.21594157   8   sp_30  1.328751933  0.21194168
    -#> 110      1 -0.56047565  0.42646422   7    sp_1  1.716649095 -2.35167507
    -#> 210      0 -0.56047565  0.42646422   3    sp_2  1.716649095 -2.35167507
    -#> 31       0 -0.56047565  0.42646422  15    sp_3  1.716649095 -2.35167507
    -#> 41       0 -0.56047565  0.42646422   5    sp_4  1.716649095 -2.35167507
    -#> 51       1 -0.56047565  0.42646422   8    sp_5  1.716649095 -2.35167507
    -#> 61       0 -0.56047565  0.42646422  19    sp_6  1.716649095 -2.35167507
    -#> 71       0 -0.56047565  0.42646422  10    sp_7  1.716649095 -2.35167507
    -#> 81       0 -0.56047565  0.42646422  18    sp_8  1.716649095 -2.35167507
    -#> 91       0 -0.56047565  0.42646422  10    sp_9  1.716649095 -2.35167507
    -#> 101      0 -0.56047565  0.42646422  12   sp_10  1.716649095 -2.35167507
    -#> 111      1 -0.56047565  0.42646422   2   sp_11  1.716649095 -2.35167507
    -#> 1231     0 -0.56047565  0.42646422  10   sp_12  1.716649095 -2.35167507
    -#> 1310     1 -0.56047565  0.42646422  12   sp_13  1.716649095 -2.35167507
    -#> 1410     0 -0.56047565  0.42646422  20   sp_14  1.716649095 -2.35167507
    -#> 151      0 -0.56047565  0.42646422  14   sp_15  1.716649095 -2.35167507
    -#> 161      0 -0.56047565  0.42646422  17   sp_16  1.716649095 -2.35167507
    -#> 171      1 -0.56047565  0.42646422  14   sp_17  1.716649095 -2.35167507
    -#> 181      0 -0.56047565  0.42646422   3   sp_18  1.716649095 -2.35167507
    -#> 191      0 -0.56047565  0.42646422   8   sp_19  1.716649095 -2.35167507
    -#> 201      1 -0.56047565  0.42646422  14   sp_20  1.716649095 -2.35167507
    -#> 211      0 -0.56047565  0.42646422  19   sp_21  1.716649095 -2.35167507
    -#> 221      0 -0.56047565  0.42646422  15   sp_22  1.716649095 -2.35167507
    -#> 231      0 -0.56047565  0.42646422  17   sp_23  1.716649095 -2.35167507
    -#> 2431     1 -0.56047565  0.42646422  11   sp_24  1.716649095 -2.35167507
    -#> 2510     0 -0.56047565  0.42646422   7   sp_25  1.716649095 -2.35167507
    -#> 2610     0 -0.56047565  0.42646422  15   sp_26  1.716649095 -2.35167507
    -#> 271      1 -0.56047565  0.42646422   6   sp_27  1.716649095 -2.35167507
    -#> 281      0 -0.56047565  0.42646422  14   sp_28  1.716649095 -2.35167507
    -#> 291      0 -0.56047565  0.42646422   7   sp_29  1.716649095 -2.35167507
    -#> 301      0 -0.56047565  0.42646422  10   sp_30  1.716649095 -2.35167507
    -#> 12110    0 -0.23017749 -0.29507148   5    sp_1 -0.859586190  1.32733753
    -#> 12210    0 -0.23017749 -0.29507148   6    sp_2 -0.859586190  1.32733753
    -#> 1232     0 -0.23017749 -0.29507148  16    sp_3 -0.859586190  1.32733753
    -#> 1241     0 -0.23017749 -0.29507148  11    sp_4 -0.859586190  1.32733753
    -#> 1251     0 -0.23017749 -0.29507148   4    sp_5 -0.859586190  1.32733753
    -#> 1261     0 -0.23017749 -0.29507148  12    sp_6 -0.859586190  1.32733753
    -#> 1271     0 -0.23017749 -0.29507148  14    sp_7 -0.859586190  1.32733753
    -#> 1281     0 -0.23017749 -0.29507148  19    sp_8 -0.859586190  1.32733753
    -#> 1291     0 -0.23017749 -0.29507148   7    sp_9 -0.859586190  1.32733753
    -#> 1301     0 -0.23017749 -0.29507148   9   sp_10 -0.859586190  1.32733753
    -#> 1311     0 -0.23017749 -0.29507148   7   sp_11 -0.859586190  1.32733753
    -#> 13210    0 -0.23017749 -0.29507148   2   sp_12 -0.859586190  1.32733753
    -#> 13310    0 -0.23017749 -0.29507148  16   sp_13 -0.859586190  1.32733753
    -#> 13410    0 -0.23017749 -0.29507148  13   sp_14 -0.859586190  1.32733753
    -#> 1351     0 -0.23017749 -0.29507148  19   sp_15 -0.859586190  1.32733753
    -#> 1361     0 -0.23017749 -0.29507148  20   sp_16 -0.859586190  1.32733753
    -#> 1371     0 -0.23017749 -0.29507148  15   sp_17 -0.859586190  1.32733753
    -#> 1381     0 -0.23017749 -0.29507148   7   sp_18 -0.859586190  1.32733753
    -#> 1391     0 -0.23017749 -0.29507148   4   sp_19 -0.859586190  1.32733753
    -#> 1401     0 -0.23017749 -0.29507148   1   sp_20 -0.859586190  1.32733753
    -#> 1411     0 -0.23017749 -0.29507148   8   sp_21 -0.859586190  1.32733753
    -#> 1421     0 -0.23017749 -0.29507148  20   sp_22 -0.859586190  1.32733753
    -#> 1431     0 -0.23017749 -0.29507148  16   sp_23 -0.859586190  1.32733753
    -#> 14410    0 -0.23017749 -0.29507148  11   sp_24 -0.859586190  1.32733753
    -#> 14510    0 -0.23017749 -0.29507148  16   sp_25 -0.859586190  1.32733753
    -#> 14610    0 -0.23017749 -0.29507148  20   sp_26 -0.859586190  1.32733753
    -#> 1471     0 -0.23017749 -0.29507148   8   sp_27 -0.859586190  1.32733753
    -#> 1481     0 -0.23017749 -0.29507148   3   sp_28 -0.859586190  1.32733753
    -#> 1491     0 -0.23017749 -0.29507148   4   sp_29 -0.859586190  1.32733753
    -#> 1501     0 -0.23017749 -0.29507148  20   sp_30 -0.859586190  1.32733753
    -#> 24110    0  1.55870831  0.89512566  12    sp_1 -1.013550294 -0.08577912
    -#> 24210    1  1.55870831  0.89512566  17    sp_2 -1.013550294 -0.08577912
    -#> 2432     0  1.55870831  0.89512566  10    sp_3 -1.013550294 -0.08577912
    -#> 2441     1  1.55870831  0.89512566  20    sp_4 -1.013550294 -0.08577912
    -#> 2451     0  1.55870831  0.89512566  11    sp_5 -1.013550294 -0.08577912
    -#> 2461     0  1.55870831  0.89512566   8    sp_6 -1.013550294 -0.08577912
    -#> 2471     0  1.55870831  0.89512566  14    sp_7 -1.013550294 -0.08577912
    -#> 2481     0  1.55870831  0.89512566  13    sp_8 -1.013550294 -0.08577912
    -#> 2491     0  1.55870831  0.89512566   2    sp_9 -1.013550294 -0.08577912
    -#> 2501     1  1.55870831  0.89512566  11   sp_10 -1.013550294 -0.08577912
    -#> 2511     0  1.55870831  0.89512566  13   sp_11 -1.013550294 -0.08577912
    -#> 25210    0  1.55870831  0.89512566  14   sp_12 -1.013550294 -0.08577912
    -#> 25310    0  1.55870831  0.89512566   6   sp_13 -1.013550294 -0.08577912
    -#> 25410    0  1.55870831  0.89512566   8   sp_14 -1.013550294 -0.08577912
    -#> 2551     0  1.55870831  0.89512566  12   sp_15 -1.013550294 -0.08577912
    -#> 2561     1  1.55870831  0.89512566   4   sp_16 -1.013550294 -0.08577912
    -#> 2571     0  1.55870831  0.89512566  13   sp_17 -1.013550294 -0.08577912
    -#> 2581     0  1.55870831  0.89512566  14   sp_18 -1.013550294 -0.08577912
    -#> 2591     0  1.55870831  0.89512566  16   sp_19 -1.013550294 -0.08577912
    -#> 2601     0  1.55870831  0.89512566   1   sp_20 -1.013550294 -0.08577912
    -#> 2611     0  1.55870831  0.89512566   8   sp_21 -1.013550294 -0.08577912
    -#> 2621     0  1.55870831  0.89512566   8   sp_22 -1.013550294 -0.08577912
    -#> 2631     0  1.55870831  0.89512566  10   sp_23 -1.013550294 -0.08577912
    -#> 26410    0  1.55870831  0.89512566   8   sp_24 -1.013550294 -0.08577912
    -#> 26510    0  1.55870831  0.89512566  18   sp_25 -1.013550294 -0.08577912
    -#> 26610    0  1.55870831  0.89512566   9   sp_26 -1.013550294 -0.08577912
    -#> 2671     0  1.55870831  0.89512566   7   sp_27 -1.013550294 -0.08577912
    -#> 2681     0  1.55870831  0.89512566   7   sp_28 -1.013550294 -0.08577912
    -#> 2691     1  1.55870831  0.89512566  10   sp_29 -1.013550294 -0.08577912
    -#> 2701     0  1.55870831  0.89512566  11   sp_30 -1.013550294 -0.08577912
    -#> 3611     0  0.07050839  0.87813349   1    sp_1 -0.220246237 -0.08670636
    -#> 3621     0  0.07050839  0.87813349  19    sp_2 -0.220246237 -0.08670636
    -#> 3631     0  0.07050839  0.87813349  10    sp_3 -0.220246237 -0.08670636
    -#> 3641     0  0.07050839  0.87813349  13    sp_4 -0.220246237 -0.08670636
    -#> 3651     1  0.07050839  0.87813349  11    sp_5 -0.220246237 -0.08670636
    -#> 3661     0  0.07050839  0.87813349  11    sp_6 -0.220246237 -0.08670636
    -#> 3671     0  0.07050839  0.87813349  20    sp_7 -0.220246237 -0.08670636
    -#> 3681     0  0.07050839  0.87813349   7    sp_8 -0.220246237 -0.08670636
    -#> 3691     0  0.07050839  0.87813349  20    sp_9 -0.220246237 -0.08670636
    -#> 3701     0  0.07050839  0.87813349   9   sp_10 -0.220246237 -0.08670636
    -#> 3711     0  0.07050839  0.87813349   9   sp_11 -0.220246237 -0.08670636
    -#> 3721     0  0.07050839  0.87813349   5   sp_12 -0.220246237 -0.08670636
    -#> 3731     0  0.07050839  0.87813349  14   sp_13 -0.220246237 -0.08670636
    -#> 3741     0  0.07050839  0.87813349  14   sp_14 -0.220246237 -0.08670636
    -#> 3751     0  0.07050839  0.87813349   6   sp_15 -0.220246237 -0.08670636
    -#> 3761     0  0.07050839  0.87813349   1   sp_16 -0.220246237 -0.08670636
    -#> 3771     1  0.07050839  0.87813349  10   sp_17 -0.220246237 -0.08670636
    -#> 3781     0  0.07050839  0.87813349  17   sp_18 -0.220246237 -0.08670636
    -#> 3791     1  0.07050839  0.87813349  17   sp_19 -0.220246237 -0.08670636
    -#> 3801     0  0.07050839  0.87813349   7   sp_20 -0.220246237 -0.08670636
    -#> 3811     0  0.07050839  0.87813349   9   sp_21 -0.220246237 -0.08670636
    -#> 3821     0  0.07050839  0.87813349  20   sp_22 -0.220246237 -0.08670636
    -#> 3831     0  0.07050839  0.87813349   6   sp_23 -0.220246237 -0.08670636
    -#> 3841     0  0.07050839  0.87813349  18   sp_24 -0.220246237 -0.08670636
    -#> 3851     0  0.07050839  0.87813349  17   sp_25 -0.220246237 -0.08670636
    -#> 3861     0  0.07050839  0.87813349   5   sp_26 -0.220246237 -0.08670636
    -#> 3871     0  0.07050839  0.87813349  20   sp_27 -0.220246237 -0.08670636
    -#> 3881     0  0.07050839  0.87813349   3   sp_28 -0.220246237 -0.08670636
    -#> 3891     0  0.07050839  0.87813349  14   sp_29 -0.220246237 -0.08670636
    -#> 3901     0  0.07050839  0.87813349   1   sp_30 -0.220246237 -0.08670636
    -#> 4811     0  0.12928774  0.82158108   2    sp_1  0.158823107 -0.25053832
    -#> 4821     0  0.12928774  0.82158108   4    sp_2  0.158823107 -0.25053832
    -#> 4831     0  0.12928774  0.82158108  10    sp_3  0.158823107 -0.25053832
    -#> 4841     0  0.12928774  0.82158108   1    sp_4  0.158823107 -0.25053832
    -#> 4851     0  0.12928774  0.82158108   5    sp_5  0.158823107 -0.25053832
    -#> 4861     0  0.12928774  0.82158108   8    sp_6  0.158823107 -0.25053832
    -#> 4871     0  0.12928774  0.82158108  13    sp_7  0.158823107 -0.25053832
    -#> 4881     0  0.12928774  0.82158108  18    sp_8  0.158823107 -0.25053832
    -#> 4891     1  0.12928774  0.82158108  10    sp_9  0.158823107 -0.25053832
    -#> 4901     0  0.12928774  0.82158108   6   sp_10  0.158823107 -0.25053832
    -#> 4911     0  0.12928774  0.82158108   7   sp_11  0.158823107 -0.25053832
    -#> 4921     0  0.12928774  0.82158108   9   sp_12  0.158823107 -0.25053832
    -#> 4931     0  0.12928774  0.82158108  16   sp_13  0.158823107 -0.25053832
    -#> 4941     1  0.12928774  0.82158108  17   sp_14  0.158823107 -0.25053832
    -#> 4951     0  0.12928774  0.82158108  13   sp_15  0.158823107 -0.25053832
    -#> 4961     0  0.12928774  0.82158108   8   sp_16  0.158823107 -0.25053832
    -#> 4971     0  0.12928774  0.82158108   7   sp_17  0.158823107 -0.25053832
    -#> 4981     0  0.12928774  0.82158108  20   sp_18  0.158823107 -0.25053832
    -#> 4991     0  0.12928774  0.82158108  18   sp_19  0.158823107 -0.25053832
    -#> 5001     0  0.12928774  0.82158108  17   sp_20  0.158823107 -0.25053832
    -#> 5011     0  0.12928774  0.82158108   1   sp_21  0.158823107 -0.25053832
    -#> 5021     0  0.12928774  0.82158108   2   sp_22  0.158823107 -0.25053832
    -#> 5031     0  0.12928774  0.82158108  17   sp_23  0.158823107 -0.25053832
    -#> 5041     0  0.12928774  0.82158108   2   sp_24  0.158823107 -0.25053832
    -#> 5051     0  0.12928774  0.82158108  13   sp_25  0.158823107 -0.25053832
    -#> 5061     0  0.12928774  0.82158108  17   sp_26  0.158823107 -0.25053832
    -#> 5071     0  0.12928774  0.82158108   3   sp_27  0.158823107 -0.25053832
    -#> 5081     0  0.12928774  0.82158108  18   sp_28  0.158823107 -0.25053832
    -#> 5091     1  0.12928774  0.82158108   2   sp_29  0.158823107 -0.25053832
    -#> 5101     0  0.12928774  0.82158108   5   sp_30  0.158823107 -0.25053832
    -#> 6011     0  1.71506499  0.68864025  12    sp_1 -0.869274055  0.39534471
    -#> 6021     0  1.71506499  0.68864025  13    sp_2 -0.869274055  0.39534471
    -#> 6031     0  1.71506499  0.68864025  10    sp_3 -0.869274055  0.39534471
    -#> 6041     0  1.71506499  0.68864025   6    sp_4 -0.869274055  0.39534471
    -#> 6051     0  1.71506499  0.68864025  10    sp_5 -0.869274055  0.39534471
    -#> 6061     0  1.71506499  0.68864025  10    sp_6 -0.869274055  0.39534471
    -#> 6071     0  1.71506499  0.68864025   6    sp_7 -0.869274055  0.39534471
    -#> 6081     1  1.71506499  0.68864025  16    sp_8 -0.869274055  0.39534471
    -#> 6091     0  1.71506499  0.68864025  16    sp_9 -0.869274055  0.39534471
    -#> 6101     1  1.71506499  0.68864025   3   sp_10 -0.869274055  0.39534471
    -#> 6111     0  1.71506499  0.68864025   4   sp_11 -0.869274055  0.39534471
    -#> 6121     0  1.71506499  0.68864025   3   sp_12 -0.869274055  0.39534471
    -#> 6131     0  1.71506499  0.68864025   3   sp_13 -0.869274055  0.39534471
    -#> 6141     0  1.71506499  0.68864025  16   sp_14 -0.869274055  0.39534471
    -#> 6151     1  1.71506499  0.68864025   2   sp_15 -0.869274055  0.39534471
    -#> 6161     0  1.71506499  0.68864025  15   sp_16 -0.869274055  0.39534471
    -#> 6171     0  1.71506499  0.68864025   3   sp_17 -0.869274055  0.39534471
    -#> 6181     0  1.71506499  0.68864025   9   sp_18 -0.869274055  0.39534471
    -#> 6191     0  1.71506499  0.68864025   7   sp_19 -0.869274055  0.39534471
    -#> 6201     0  1.71506499  0.68864025   9   sp_20 -0.869274055  0.39534471
    -#> 6211     0  1.71506499  0.68864025   4   sp_21 -0.869274055  0.39534471
    -#> 6221     0  1.71506499  0.68864025   2   sp_22 -0.869274055  0.39534471
    -#> 6231     0  1.71506499  0.68864025  12   sp_23 -0.869274055  0.39534471
    -#> 6241     0  1.71506499  0.68864025   9   sp_24 -0.869274055  0.39534471
    -#> 6251     0  1.71506499  0.68864025  11   sp_25 -0.869274055  0.39534471
    -#> 6261     0  1.71506499  0.68864025   7   sp_26 -0.869274055  0.39534471
    -#> 6271     0  1.71506499  0.68864025  13   sp_27 -0.869274055  0.39534471
    -#> 6281     1  1.71506499  0.68864025   5   sp_28 -0.869274055  0.39534471
    -#> 6291     0  1.71506499  0.68864025  11   sp_29 -0.869274055  0.39534471
    -#> 6301     0  1.71506499  0.68864025   1   sp_30 -0.869274055  0.39534471
    -#> 7211     0  0.46091621  0.55391765  19    sp_1 -0.730637689  1.23693746
    -#> 7221     1  0.46091621  0.55391765  12    sp_2 -0.730637689  1.23693746
    -#> 7231     0  0.46091621  0.55391765   2    sp_3 -0.730637689  1.23693746
    -#> 7241     1  0.46091621  0.55391765  17    sp_4 -0.730637689  1.23693746
    -#> 7251     0  0.46091621  0.55391765  12    sp_5 -0.730637689  1.23693746
    -#> 7261     0  0.46091621  0.55391765   3    sp_6 -0.730637689  1.23693746
    -#> 7271     0  0.46091621  0.55391765  18    sp_7 -0.730637689  1.23693746
    -#> 7281     0  0.46091621  0.55391765  15    sp_8 -0.730637689  1.23693746
    -#> 7291     0  0.46091621  0.55391765   3    sp_9 -0.730637689  1.23693746
    -#> 7301     0  0.46091621  0.55391765  19   sp_10 -0.730637689  1.23693746
    -#> 7311     0  0.46091621  0.55391765  18   sp_11 -0.730637689  1.23693746
    -#> 7321     0  0.46091621  0.55391765  17   sp_12 -0.730637689  1.23693746
    -#> 7331     0  0.46091621  0.55391765   6   sp_13 -0.730637689  1.23693746
    -#> 7341     0  0.46091621  0.55391765  10   sp_14 -0.730637689  1.23693746
    -#> 7351     0  0.46091621  0.55391765   8   sp_15 -0.730637689  1.23693746
    -#> 7361     0  0.46091621  0.55391765  10   sp_16 -0.730637689  1.23693746
    -#> 7371     0  0.46091621  0.55391765  13   sp_17 -0.730637689  1.23693746
    -#> 7381     0  0.46091621  0.55391765  20   sp_18 -0.730637689  1.23693746
    -#> 7391     0  0.46091621  0.55391765   6   sp_19 -0.730637689  1.23693746
    -#> 7401     0  0.46091621  0.55391765  20   sp_20 -0.730637689  1.23693746
    -#> 7411     1  0.46091621  0.55391765  20   sp_21 -0.730637689  1.23693746
    -#> 7421     0  0.46091621  0.55391765   9   sp_22 -0.730637689  1.23693746
    -#> 7431     0  0.46091621  0.55391765  16   sp_23 -0.730637689  1.23693746
    -#> 7441     0  0.46091621  0.55391765   8   sp_24 -0.730637689  1.23693746
    -#> 7451     0  0.46091621  0.55391765   7   sp_25 -0.730637689  1.23693746
    -#> 7461     0  0.46091621  0.55391765  10   sp_26 -0.730637689  1.23693746
    -#> 7471     1  0.46091621  0.55391765  17   sp_27 -0.730637689  1.23693746
    -#> 7481     0  0.46091621  0.55391765  18   sp_28 -0.730637689  1.23693746
    -#> 7491     0  0.46091621  0.55391765   8   sp_29 -0.730637689  1.23693746
    -#> 7501     0  0.46091621  0.55391765  19   sp_30 -0.730637689  1.23693746
    -#> 8411     0 -1.26506123 -0.06191171  10    sp_1  1.111633173  0.14385911
    -#> 8421     0 -1.26506123 -0.06191171  11    sp_2  1.111633173  0.14385911
    -#> 8431     0 -1.26506123 -0.06191171  17    sp_3  1.111633173  0.14385911
    -#> 8441     0 -1.26506123 -0.06191171  12    sp_4  1.111633173  0.14385911
    -#> 8451     0 -1.26506123 -0.06191171   2    sp_5  1.111633173  0.14385911
    -#> 8461     0 -1.26506123 -0.06191171  19    sp_6  1.111633173  0.14385911
    -#> 8471     0 -1.26506123 -0.06191171  13    sp_7  1.111633173  0.14385911
    -#> 8481     0 -1.26506123 -0.06191171  13    sp_8  1.111633173  0.14385911
    -#> 8491     0 -1.26506123 -0.06191171  19    sp_9  1.111633173  0.14385911
    -#> 8501     1 -1.26506123 -0.06191171  10   sp_10  1.111633173  0.14385911
    -#> 8511     0 -1.26506123 -0.06191171  16   sp_11  1.111633173  0.14385911
    -#> 8521     0 -1.26506123 -0.06191171   5   sp_12  1.111633173  0.14385911
    -#> 8531     0 -1.26506123 -0.06191171   4   sp_13  1.111633173  0.14385911
    -#> 8541     0 -1.26506123 -0.06191171  18   sp_14  1.111633173  0.14385911
    -#> 8551     0 -1.26506123 -0.06191171   1   sp_15  1.111633173  0.14385911
    -#> 8561     0 -1.26506123 -0.06191171  16   sp_16  1.111633173  0.14385911
    -#> 8571     0 -1.26506123 -0.06191171  17   sp_17  1.111633173  0.14385911
    -#> 8581     0 -1.26506123 -0.06191171  12   sp_18  1.111633173  0.14385911
    -#> 8591     1 -1.26506123 -0.06191171   2   sp_19  1.111633173  0.14385911
    -#> 8601     0 -1.26506123 -0.06191171  18   sp_20  1.111633173  0.14385911
    -#> 8611     0 -1.26506123 -0.06191171  12   sp_21  1.111633173  0.14385911
    -#> 8621     0 -1.26506123 -0.06191171  15   sp_22  1.111633173  0.14385911
    -#> 8631     0 -1.26506123 -0.06191171  19   sp_23  1.111633173  0.14385911
    -#> 8641     0 -1.26506123 -0.06191171   6   sp_24  1.111633173  0.14385911
    -#> 8651     0 -1.26506123 -0.06191171  16   sp_25  1.111633173  0.14385911
    -#> 8661     0 -1.26506123 -0.06191171  15   sp_26  1.111633173  0.14385911
    -#> 8671     0 -1.26506123 -0.06191171  19   sp_27  1.111633173  0.14385911
    -#> 8681     0 -1.26506123 -0.06191171   3   sp_28  1.111633173  0.14385911
    -#> 8691     0 -1.26506123 -0.06191171  14   sp_29  1.111633173  0.14385911
    -#> 8701     0 -1.26506123 -0.06191171   1   sp_30  1.111633173  0.14385911
    -#> 9611     1 -0.68685285 -0.30596266   1    sp_1 -0.166381366 -1.44944857
    -#> 9621     0 -0.68685285 -0.30596266  16    sp_2 -0.166381366 -1.44944857
    -#> 9631     0 -0.68685285 -0.30596266  11    sp_3 -0.166381366 -1.44944857
    -#> 9641     0 -0.68685285 -0.30596266   4    sp_4 -0.166381366 -1.44944857
    -#> 9651     1 -0.68685285 -0.30596266  12    sp_5 -0.166381366 -1.44944857
    -#> 9661     1 -0.68685285 -0.30596266  13    sp_6 -0.166381366 -1.44944857
    -#> 9671     0 -0.68685285 -0.30596266  10    sp_7 -0.166381366 -1.44944857
    -#> 9681     0 -0.68685285 -0.30596266  10    sp_8 -0.166381366 -1.44944857
    -#> 9691     1 -0.68685285 -0.30596266   7    sp_9 -0.166381366 -1.44944857
    -#> 9701     0 -0.68685285 -0.30596266  18   sp_10 -0.166381366 -1.44944857
    -#> 9711     0 -0.68685285 -0.30596266  17   sp_11 -0.166381366 -1.44944857
    -#> 9721     0 -0.68685285 -0.30596266  20   sp_12 -0.166381366 -1.44944857
    -#> 9731     1 -0.68685285 -0.30596266   9   sp_13 -0.166381366 -1.44944857
    -#> 9741     0 -0.68685285 -0.30596266  11   sp_14 -0.166381366 -1.44944857
    -#> 9751     1 -0.68685285 -0.30596266  12   sp_15 -0.166381366 -1.44944857
    -#> 9761     0 -0.68685285 -0.30596266   8   sp_16 -0.166381366 -1.44944857
    -#> 9771     0 -0.68685285 -0.30596266  18   sp_17 -0.166381366 -1.44944857
    -#> 9781     0 -0.68685285 -0.30596266   5   sp_18 -0.166381366 -1.44944857
    -#> 9791     0 -0.68685285 -0.30596266  18   sp_19 -0.166381366 -1.44944857
    -#> 9801     0 -0.68685285 -0.30596266   6   sp_20 -0.166381366 -1.44944857
    -#> 9811     0 -0.68685285 -0.30596266  10   sp_21 -0.166381366 -1.44944857
    -#> 9821     0 -0.68685285 -0.30596266   9   sp_22 -0.166381366 -1.44944857
    -#> 9831     0 -0.68685285 -0.30596266  11   sp_23 -0.166381366 -1.44944857
    -#> 9841     0 -0.68685285 -0.30596266   6   sp_24 -0.166381366 -1.44944857
    -#> 9851     0 -0.68685285 -0.30596266  12   sp_25 -0.166381366 -1.44944857
    -#> 9861     0 -0.68685285 -0.30596266  19   sp_26 -0.166381366 -1.44944857
    -#> 9871     0 -0.68685285 -0.30596266   4   sp_27 -0.166381366 -1.44944857
    -#> 9881     0 -0.68685285 -0.30596266   3   sp_28 -0.166381366 -1.44944857
    -#> 9891     0 -0.68685285 -0.30596266  14   sp_29 -0.166381366 -1.44944857
    -#> 9901     0 -0.68685285 -0.30596266   8   sp_30 -0.166381366 -1.44944857
    -#> 10811    0 -0.44566197 -0.38047100   6    sp_1  0.967695272  0.26986716
    -#> 10821    0 -0.44566197 -0.38047100   4    sp_2  0.967695272  0.26986716
    -#> 10831    1 -0.44566197 -0.38047100  10    sp_3  0.967695272  0.26986716
    -#> 10841    0 -0.44566197 -0.38047100  16    sp_4  0.967695272  0.26986716
    -#> 10851    0 -0.44566197 -0.38047100  16    sp_5  0.967695272  0.26986716
    -#> 10861    0 -0.44566197 -0.38047100  20    sp_6  0.967695272  0.26986716
    -#> 10871    1 -0.44566197 -0.38047100  10    sp_7  0.967695272  0.26986716
    -#> 10881    0 -0.44566197 -0.38047100   6    sp_8  0.967695272  0.26986716
    -#> 10891    0 -0.44566197 -0.38047100  19    sp_9  0.967695272  0.26986716
    -#> 10901    0 -0.44566197 -0.38047100   4   sp_10  0.967695272  0.26986716
    -#> 10911    0 -0.44566197 -0.38047100   9   sp_11  0.967695272  0.26986716
    -#> 10921    0 -0.44566197 -0.38047100   4   sp_12  0.967695272  0.26986716
    -#> 10931    0 -0.44566197 -0.38047100  15   sp_13  0.967695272  0.26986716
    -#> 10941    1 -0.44566197 -0.38047100  20   sp_14  0.967695272  0.26986716
    -#> 10951    0 -0.44566197 -0.38047100  17   sp_15  0.967695272  0.26986716
    -#> 10961    0 -0.44566197 -0.38047100   7   sp_16  0.967695272  0.26986716
    -#> 10971    0 -0.44566197 -0.38047100  15   sp_17  0.967695272  0.26986716
    -#> 10981    0 -0.44566197 -0.38047100   5   sp_18  0.967695272  0.26986716
    -#> 10991    0 -0.44566197 -0.38047100  14   sp_19  0.967695272  0.26986716
    -#> 11001    0 -0.44566197 -0.38047100  15   sp_20  0.967695272  0.26986716
    -#> 11011    1 -0.44566197 -0.38047100  15   sp_21  0.967695272  0.26986716
    -#> 11021    0 -0.44566197 -0.38047100  16   sp_22  0.967695272  0.26986716
    -#> 11031    0 -0.44566197 -0.38047100  19   sp_23  0.967695272  0.26986716
    -#> 11041    0 -0.44566197 -0.38047100   8   sp_24  0.967695272  0.26986716
    -#> 11051    0 -0.44566197 -0.38047100   5   sp_25  0.967695272  0.26986716
    -#> 11061    0 -0.44566197 -0.38047100   7   sp_26  0.967695272  0.26986716
    -#> 11071    0 -0.44566197 -0.38047100  20   sp_27  0.967695272  0.26986716
    -#> 11081    0 -0.44566197 -0.38047100  16   sp_28  0.967695272  0.26986716
    -#> 11091    0 -0.44566197 -0.38047100  16   sp_29  0.967695272  0.26986716
    -#> 11101    0 -0.44566197 -0.38047100   9   sp_30  0.967695272  0.26986716
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    -#> 12021    1  1.22408180 -0.69470698  11    sp_2 -0.498319395  1.33868649
    -#> 12031    0  1.22408180 -0.69470698  19    sp_3 -0.498319395  1.33868649
    -#> 12041    0  1.22408180 -0.69470698  10    sp_4 -0.498319395  1.33868649
    -#> 12051    0  1.22408180 -0.69470698   2    sp_5 -0.498319395  1.33868649
    -#> 12061    0  1.22408180 -0.69470698   6    sp_6 -0.498319395  1.33868649
    -#> 12071    0  1.22408180 -0.69470698  20    sp_7 -0.498319395  1.33868649
    -#> 12081    0  1.22408180 -0.69470698  14    sp_8 -0.498319395  1.33868649
    -#> 12091    0  1.22408180 -0.69470698  14    sp_9 -0.498319395  1.33868649
    -#> 12101    0  1.22408180 -0.69470698   6   sp_10 -0.498319395  1.33868649
    -#> 12111    0  1.22408180 -0.69470698  18   sp_11 -0.498319395  1.33868649
    -#> 12121    0  1.22408180 -0.69470698   2   sp_12 -0.498319395  1.33868649
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    -#> 12141    0  1.22408180 -0.69470698  11   sp_14 -0.498319395  1.33868649
    -#> 12151    0  1.22408180 -0.69470698   7   sp_15 -0.498319395  1.33868649
    -#> 12161    0  1.22408180 -0.69470698  19   sp_16 -0.498319395  1.33868649
    -#> 12171    0  1.22408180 -0.69470698   8   sp_17 -0.498319395  1.33868649
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    -#> 12201    0  1.22408180 -0.69470698  17   sp_20 -0.498319395  1.33868649
    -#> 12211    1  1.22408180 -0.69470698   6   sp_21 -0.498319395  1.33868649
    -#> 12221    0  1.22408180 -0.69470698   8   sp_22 -0.498319395  1.33868649
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    -#> 12251    0  1.22408180 -0.69470698  15   sp_25 -0.498319395  1.33868649
    -#> 12261    1  1.22408180 -0.69470698  17   sp_26 -0.498319395  1.33868649
    -#> 12271    0  1.22408180 -0.69470698   3   sp_27 -0.498319395  1.33868649
    -#> 12281    0  1.22408180 -0.69470698  15   sp_28 -0.498319395  1.33868649
    -#> 12291    1  1.22408180 -0.69470698  20   sp_29 -0.498319395  1.33868649
    -#> 12301    0  1.22408180 -0.69470698   1   sp_30 -0.498319395  1.33868649
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    -#> 13221    1  0.35981383 -0.20791728  11    sp_2  0.926885841  1.61114313
    -#> 13231    0  0.35981383 -0.20791728  15    sp_3  0.926885841  1.61114313
    -#> 13241    0  0.35981383 -0.20791728  20    sp_4  0.926885841  1.61114313
    -#> 13251    0  0.35981383 -0.20791728   2    sp_5  0.926885841  1.61114313
    -#> 13261    0  0.35981383 -0.20791728  16    sp_6  0.926885841  1.61114313
    -#> 13271    0  0.35981383 -0.20791728  19    sp_7  0.926885841  1.61114313
    -#> 13281    0  0.35981383 -0.20791728  10    sp_8  0.926885841  1.61114313
    -#> 13291    0  0.35981383 -0.20791728  19    sp_9  0.926885841  1.61114313
    -#> 13301    0  0.35981383 -0.20791728  17   sp_10  0.926885841  1.61114313
    -#> 13311    0  0.35981383 -0.20791728   7   sp_11  0.926885841  1.61114313
    -#> 13321    0  0.35981383 -0.20791728   6   sp_12  0.926885841  1.61114313
    -#> 13331    0  0.35981383 -0.20791728  12   sp_13  0.926885841  1.61114313
    -#> 13341    0  0.35981383 -0.20791728   4   sp_14  0.926885841  1.61114313
    -#> 13351    0  0.35981383 -0.20791728  19   sp_15  0.926885841  1.61114313
    -#> 13361    0  0.35981383 -0.20791728   2   sp_16  0.926885841  1.61114313
    -#> 13371    0  0.35981383 -0.20791728   4   sp_17  0.926885841  1.61114313
    -#> 13381    1  0.35981383 -0.20791728  11   sp_18  0.926885841  1.61114313
    -#> 13391    0  0.35981383 -0.20791728   1   sp_19  0.926885841  1.61114313
    -#> 13401    0  0.35981383 -0.20791728  19   sp_20  0.926885841  1.61114313
    -#> 13411    1  0.35981383 -0.20791728  18   sp_21  0.926885841  1.61114313
    -#> 13421    0  0.35981383 -0.20791728  16   sp_22  0.926885841  1.61114313
    -#> 13431    1  0.35981383 -0.20791728   3   sp_23  0.926885841  1.61114313
    -#> 13441    0  0.35981383 -0.20791728   1   sp_24  0.926885841  1.61114313
    -#> 13451    0  0.35981383 -0.20791728   2   sp_25  0.926885841  1.61114313
    -#> 13461    0  0.35981383 -0.20791728   2   sp_26  0.926885841  1.61114313
    -#> 13471    0  0.35981383 -0.20791728   8   sp_27  0.926885841  1.61114313
    -#> 13481    0  0.35981383 -0.20791728  20   sp_28  0.926885841  1.61114313
    -#> 13491    0  0.35981383 -0.20791728  14   sp_29  0.926885841  1.61114313
    -#> 13501    0  0.35981383 -0.20791728  13   sp_30  0.926885841  1.61114313
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    -#> 14421    0  0.40077145 -1.26539635   8    sp_2  0.081143100 -0.28723019
    -#> 14431    0  0.40077145 -1.26539635   3    sp_3  0.081143100 -0.28723019
    -#> 14441    0  0.40077145 -1.26539635  16    sp_4  0.081143100 -0.28723019
    -#> 14451    0  0.40077145 -1.26539635   1    sp_5  0.081143100 -0.28723019
    -#> 14461    1  0.40077145 -1.26539635  12    sp_6  0.081143100 -0.28723019
    -#> 14471    1  0.40077145 -1.26539635  18    sp_7  0.081143100 -0.28723019
    -#> 14481    0  0.40077145 -1.26539635  14    sp_8  0.081143100 -0.28723019
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    -#> 14501    1  0.40077145 -1.26539635   5   sp_10  0.081143100 -0.28723019
    -#> 14511    1  0.40077145 -1.26539635  17   sp_11  0.081143100 -0.28723019
    -#> 14521    0  0.40077145 -1.26539635  11   sp_12  0.081143100 -0.28723019
    -#> 14531    0  0.40077145 -1.26539635   4   sp_13  0.081143100 -0.28723019
    -#> 14541    1  0.40077145 -1.26539635  13   sp_14  0.081143100 -0.28723019
    -#> 14551    1  0.40077145 -1.26539635   8   sp_15  0.081143100 -0.28723019
    -#> 14561    0  0.40077145 -1.26539635  15   sp_16  0.081143100 -0.28723019
    -#> 14571    1  0.40077145 -1.26539635   4   sp_17  0.081143100 -0.28723019
    -#> 14581    0  0.40077145 -1.26539635  13   sp_18  0.081143100 -0.28723019
    -#> 14591    0  0.40077145 -1.26539635   3   sp_19  0.081143100 -0.28723019
    -#> 14601    1  0.40077145 -1.26539635   7   sp_20  0.081143100 -0.28723019
    -#> 14611    0  0.40077145 -1.26539635   1   sp_21  0.081143100 -0.28723019
    -#> 14621    0  0.40077145 -1.26539635   6   sp_22  0.081143100 -0.28723019
    -#> 14631    1  0.40077145 -1.26539635  13   sp_23  0.081143100 -0.28723019
    -#> 14641    1  0.40077145 -1.26539635  17   sp_24  0.081143100 -0.28723019
    -#> 14651    0  0.40077145 -1.26539635   6   sp_25  0.081143100 -0.28723019
    -#> 14661    1  0.40077145 -1.26539635  10   sp_26  0.081143100 -0.28723019
    -#> 14671    0  0.40077145 -1.26539635  13   sp_27  0.081143100 -0.28723019
    -#> 14681    0  0.40077145 -1.26539635   6   sp_28  0.081143100 -0.28723019
    -#> 14691    1  0.40077145 -1.26539635   9   sp_29  0.081143100 -0.28723019
    -#> 14701    0  0.40077145 -1.26539635   8   sp_30  0.081143100 -0.28723019
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    -#> 15621    0  0.11068272  2.16895597  16    sp_2 -0.114458510  0.94373342
    -#> 15631    0  0.11068272  2.16895597   2    sp_3 -0.114458510  0.94373342
    -#> 15641    0  0.11068272  2.16895597   8    sp_4 -0.114458510  0.94373342
    -#> 15651    0  0.11068272  2.16895597  14    sp_5 -0.114458510  0.94373342
    -#> 15661    0  0.11068272  2.16895597  12    sp_6 -0.114458510  0.94373342
    -#> 15671    0  0.11068272  2.16895597   8    sp_7 -0.114458510  0.94373342
    -#> 15681    0  0.11068272  2.16895597   9    sp_8 -0.114458510  0.94373342
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    -#> 15701    0  0.11068272  2.16895597   9   sp_10 -0.114458510  0.94373342
    -#> 15711    0  0.11068272  2.16895597  20   sp_11 -0.114458510  0.94373342
    -#> 15721    0  0.11068272  2.16895597   1   sp_12 -0.114458510  0.94373342
    -#> 15731    0  0.11068272  2.16895597   3   sp_13 -0.114458510  0.94373342
    -#> 15741    0  0.11068272  2.16895597   8   sp_14 -0.114458510  0.94373342
    -#> 15751    0  0.11068272  2.16895597   2   sp_15 -0.114458510  0.94373342
    -#> 15761    0  0.11068272  2.16895597   1   sp_16 -0.114458510  0.94373342
    -#> 15771    0  0.11068272  2.16895597   9   sp_17 -0.114458510  0.94373342
    -#> 15781    0  0.11068272  2.16895597   7   sp_18 -0.114458510  0.94373342
    -#> 15791    0  0.11068272  2.16895597  13   sp_19 -0.114458510  0.94373342
    -#> 15801    0  0.11068272  2.16895597  20   sp_20 -0.114458510  0.94373342
    -#> 15811    0  0.11068272  2.16895597  14   sp_21 -0.114458510  0.94373342
    -#> 15821    0  0.11068272  2.16895597  16   sp_22 -0.114458510  0.94373342
    -#> 15831    0  0.11068272  2.16895597   7   sp_23 -0.114458510  0.94373342
    -#> 15841    0  0.11068272  2.16895597   4   sp_24 -0.114458510  0.94373342
    -#> 15851    0  0.11068272  2.16895597  13   sp_25 -0.114458510  0.94373342
    -#> 15861    0  0.11068272  2.16895597  12   sp_26 -0.114458510  0.94373342
    -#> 15871    0  0.11068272  2.16895597  13   sp_27 -0.114458510  0.94373342
    -#> 15881    0  0.11068272  2.16895597  20   sp_28 -0.114458510  0.94373342
    -#> 15891    0  0.11068272  2.16895597  10   sp_29 -0.114458510  0.94373342
    -#> 15901    0  0.11068272  2.16895597   9   sp_30 -0.114458510  0.94373342
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    -#> 16821    0 -0.55584113  1.20796200   8    sp_2 -1.864998020 -1.12347081
    -#> 16831    0 -0.55584113  1.20796200   7    sp_3 -1.864998020 -1.12347081
    -#> 16841    0 -0.55584113  1.20796200  15    sp_4 -1.864998020 -1.12347081
    -#> 16851    0 -0.55584113  1.20796200  19    sp_5 -1.864998020 -1.12347081
    -#> 16861    0 -0.55584113  1.20796200  17    sp_6 -1.864998020 -1.12347081
    -#> 16871    0 -0.55584113  1.20796200  11    sp_7 -1.864998020 -1.12347081
    -#> 16881    0 -0.55584113  1.20796200   7    sp_8 -1.864998020 -1.12347081
    -#> 16891    0 -0.55584113  1.20796200  19    sp_9 -1.864998020 -1.12347081
    -#> 16901    0 -0.55584113  1.20796200   3   sp_10 -1.864998020 -1.12347081
    -#> 16911    0 -0.55584113  1.20796200   6   sp_11 -1.864998020 -1.12347081
    -#> 16921    0 -0.55584113  1.20796200   7   sp_12 -1.864998020 -1.12347081
    -#> 16931    0 -0.55584113  1.20796200   4   sp_13 -1.864998020 -1.12347081
    -#> 16941    1 -0.55584113  1.20796200  10   sp_14 -1.864998020 -1.12347081
    -#> 16951    0 -0.55584113  1.20796200  17   sp_15 -1.864998020 -1.12347081
    -#> 16961    0 -0.55584113  1.20796200  16   sp_16 -1.864998020 -1.12347081
    -#> 16971    0 -0.55584113  1.20796200   8   sp_17 -1.864998020 -1.12347081
    -#> 16981    0 -0.55584113  1.20796200   3   sp_18 -1.864998020 -1.12347081
    -#> 16991    0 -0.55584113  1.20796200  12   sp_19 -1.864998020 -1.12347081
    -#> 17001    0 -0.55584113  1.20796200  14   sp_20 -1.864998020 -1.12347081
    -#> 17011    0 -0.55584113  1.20796200   5   sp_21 -1.864998020 -1.12347081
    -#> 17021    0 -0.55584113  1.20796200  14   sp_22 -1.864998020 -1.12347081
    -#> 17031    0 -0.55584113  1.20796200   6   sp_23 -1.864998020 -1.12347081
    -#> 17041    0 -0.55584113  1.20796200   9   sp_24 -1.864998020 -1.12347081
    -#> 17051    0 -0.55584113  1.20796200   1   sp_25 -1.864998020 -1.12347081
    -#> 17061    0 -0.55584113  1.20796200  20   sp_26 -1.864998020 -1.12347081
    -#> 17071    0 -0.55584113  1.20796200  14   sp_27 -1.864998020 -1.12347081
    -#> 17081    0 -0.55584113  1.20796200  19   sp_28 -1.864998020 -1.12347081
    -#> 17091    0 -0.55584113  1.20796200   5   sp_29 -1.864998020 -1.12347081
    -#> 17101    0 -0.55584113  1.20796200   2   sp_30 -1.864998020 -1.12347081
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    -#> 18031    0  1.78691314 -1.12310858   4    sp_3 -1.421957153  2.26468095
    -#> 18041    0  1.78691314 -1.12310858  11    sp_4 -1.421957153  2.26468095
    -#> 18051    0  1.78691314 -1.12310858   5    sp_5 -1.421957153  2.26468095
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    -#> 18131    0  1.78691314 -1.12310858  17   sp_13 -1.421957153  2.26468095
    -#> 18141    0  1.78691314 -1.12310858   5   sp_14 -1.421957153  2.26468095
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    -#> 18161    0  1.78691314 -1.12310858   2   sp_16 -1.421957153  2.26468095
    -#> 18171    1  1.78691314 -1.12310858  18   sp_17 -1.421957153  2.26468095
    -#> 18181    0  1.78691314 -1.12310858   4   sp_18 -1.421957153  2.26468095
    -#> 18191    1  1.78691314 -1.12310858  10   sp_19 -1.421957153  2.26468095
    -#> 18201    0  1.78691314 -1.12310858  15   sp_20 -1.421957153  2.26468095
    -#> 18211    0  1.78691314 -1.12310858   8   sp_21 -1.421957153  2.26468095
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    -#> 18241    0  1.78691314 -1.12310858   5   sp_24 -1.421957153  2.26468095
    -#> 18251    0  1.78691314 -1.12310858  11   sp_25 -1.421957153  2.26468095
    -#> 18261    0  1.78691314 -1.12310858  15   sp_26 -1.421957153  2.26468095
    -#> 18271    0  1.78691314 -1.12310858  15   sp_27 -1.421957153  2.26468095
    -#> 18281    1  1.78691314 -1.12310858  10   sp_28 -1.421957153  2.26468095
    -#> 18291    0  1.78691314 -1.12310858  15   sp_29 -1.421957153  2.26468095
    -#> 18301    0  1.78691314 -1.12310858  15   sp_30 -1.421957153  2.26468095
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    -#> 21871    0  0.70135590  0.77996512  19   sp_27 -1.066032692  1.17589068
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    -#> 21891    0  0.70135590  0.77996512   8   sp_29 -1.066032692  1.17589068
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    -#> 22971    0 -0.47279141 -0.08336907  20   sp_17  0.163432374 -0.33967076
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    -#> 23011    0 -0.47279141 -0.08336907  18   sp_21  0.163432374 -0.33967076
    -#> 23021    1 -0.47279141 -0.08336907  12   sp_22  0.163432374 -0.33967076
    -#> 23031    0 -0.47279141 -0.08336907  13   sp_23  0.163432374 -0.33967076
    -#> 23041    0 -0.47279141 -0.08336907  11   sp_24  0.163432374 -0.33967076
    -#> 23051    0 -0.47279141 -0.08336907  19   sp_25  0.163432374 -0.33967076
    -#> 23061    0 -0.47279141 -0.08336907   6   sp_26  0.163432374 -0.33967076
    -#> 23071    0 -0.47279141 -0.08336907  18   sp_27  0.163432374 -0.33967076
    -#> 23081    0 -0.47279141 -0.08336907  10   sp_28  0.163432374 -0.33967076
    -#> 23091    0 -0.47279141 -0.08336907   9   sp_29  0.163432374 -0.33967076
    -#> 23101    0 -0.47279141 -0.08336907   3   sp_30  0.163432374 -0.33967076
    -#> 24011    0 -1.06782371  0.25331851  19    sp_1  0.915459490 -0.78713906
    -#> 24021    0 -1.06782371  0.25331851   8    sp_2  0.915459490 -0.78713906
    -#> 24031    0 -1.06782371  0.25331851  13    sp_3  0.915459490 -0.78713906
    -#> 24041    0 -1.06782371  0.25331851   1    sp_4  0.915459490 -0.78713906
    -#> 24051    1 -1.06782371  0.25331851   2    sp_5  0.915459490 -0.78713906
    -#> 24061    0 -1.06782371  0.25331851  11    sp_6  0.915459490 -0.78713906
    -#> 24071    0 -1.06782371  0.25331851  16    sp_7  0.915459490 -0.78713906
    -#> 24081    0 -1.06782371  0.25331851   5    sp_8  0.915459490 -0.78713906
    -#> 24091    0 -1.06782371  0.25331851   4    sp_9  0.915459490 -0.78713906
    -#> 24101    0 -1.06782371  0.25331851   3   sp_10  0.915459490 -0.78713906
    -#> 24111    0 -1.06782371  0.25331851  15   sp_11  0.915459490 -0.78713906
    -#> 24121    0 -1.06782371  0.25331851  10   sp_12  0.915459490 -0.78713906
    -#> 24131    1 -1.06782371  0.25331851   7   sp_13  0.915459490 -0.78713906
    -#> 24141    0 -1.06782371  0.25331851   7   sp_14  0.915459490 -0.78713906
    -#> 24151    0 -1.06782371  0.25331851   2   sp_15  0.915459490 -0.78713906
    -#> 24161    0 -1.06782371  0.25331851  18   sp_16  0.915459490 -0.78713906
    -#> 24171    0 -1.06782371  0.25331851  18   sp_17  0.915459490 -0.78713906
    -#> 24181    0 -1.06782371  0.25331851   3   sp_18  0.915459490 -0.78713906
    -#> 24191    0 -1.06782371  0.25331851   8   sp_19  0.915459490 -0.78713906
    -#> 24201    0 -1.06782371  0.25331851  14   sp_20  0.915459490 -0.78713906
    -#> 24211    0 -1.06782371  0.25331851   9   sp_21  0.915459490 -0.78713906
    -#> 24221    0 -1.06782371  0.25331851  15   sp_22  0.915459490 -0.78713906
    -#> 24231    0 -1.06782371  0.25331851  17   sp_23  0.915459490 -0.78713906
    -#> 24241    1 -1.06782371  0.25331851   7   sp_24  0.915459490 -0.78713906
    -#> 24251    0 -1.06782371  0.25331851   8   sp_25  0.915459490 -0.78713906
    -#> 24261    0 -1.06782371  0.25331851   1   sp_26  0.915459490 -0.78713906
    -#> 24271    0 -1.06782371  0.25331851   9   sp_27  0.915459490 -0.78713906
    -#> 24281    0 -1.06782371  0.25331851   3   sp_28  0.915459490 -0.78713906
    -#> 24291    1 -1.06782371  0.25331851   2   sp_29  0.915459490 -0.78713906
    -#> 24301    0 -1.06782371  0.25331851  11   sp_30  0.915459490 -0.78713906
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    -#> 25221    0 -0.21797491 -0.02854676   8    sp_2 -0.293764363 -0.31146820
    -#> 25231    0 -0.21797491 -0.02854676  20    sp_3 -0.293764363 -0.31146820
    -#> 25241    1 -0.21797491 -0.02854676  11    sp_4 -0.293764363 -0.31146820
    -#> 25251    0 -0.21797491 -0.02854676  18    sp_5 -0.293764363 -0.31146820
    -#> 25261    0 -0.21797491 -0.02854676  14    sp_6 -0.293764363 -0.31146820
    -#> 25271    0 -0.21797491 -0.02854676   3    sp_7 -0.293764363 -0.31146820
    -#> 25281    0 -0.21797491 -0.02854676   3    sp_8 -0.293764363 -0.31146820
    -#> 25291    0 -0.21797491 -0.02854676  14    sp_9 -0.293764363 -0.31146820
    -#> 25301    0 -0.21797491 -0.02854676   7   sp_10 -0.293764363 -0.31146820
    -#> 25311    0 -0.21797491 -0.02854676  15   sp_11 -0.293764363 -0.31146820
    -#> 25321    0 -0.21797491 -0.02854676   8   sp_12 -0.293764363 -0.31146820
    -#> 25331    0 -0.21797491 -0.02854676   1   sp_13 -0.293764363 -0.31146820
    -#> 25341    0 -0.21797491 -0.02854676   5   sp_14 -0.293764363 -0.31146820
    -#> 25351    1 -0.21797491 -0.02854676  17   sp_15 -0.293764363 -0.31146820
    -#> 25361    0 -0.21797491 -0.02854676   6   sp_16 -0.293764363 -0.31146820
    -#> 25371    0 -0.21797491 -0.02854676  10   sp_17 -0.293764363 -0.31146820
    -#> 25381    0 -0.21797491 -0.02854676  12   sp_18 -0.293764363 -0.31146820
    -#> 25391    0 -0.21797491 -0.02854676   8   sp_19 -0.293764363 -0.31146820
    -#> 25401    0 -0.21797491 -0.02854676  16   sp_20 -0.293764363 -0.31146820
    -#> 25411    1 -0.21797491 -0.02854676   7   sp_21 -0.293764363 -0.31146820
    -#> 25421    0 -0.21797491 -0.02854676   7   sp_22 -0.293764363 -0.31146820
    -#> 25431    0 -0.21797491 -0.02854676   1   sp_23 -0.293764363 -0.31146820
    -#> 25441    0 -0.21797491 -0.02854676  11   sp_24 -0.293764363 -0.31146820
    -#> 25451    0 -0.21797491 -0.02854676   3   sp_25 -0.293764363 -0.31146820
    -#> 25461    0 -0.21797491 -0.02854676  17   sp_26 -0.293764363 -0.31146820
    -#> 25471    0 -0.21797491 -0.02854676  20   sp_27 -0.293764363 -0.31146820
    -#> 25481    0 -0.21797491 -0.02854676   3   sp_28 -0.293764363 -0.31146820
    -#> 25491    0 -0.21797491 -0.02854676  14   sp_29 -0.293764363 -0.31146820
    -#> 25501    0 -0.21797491 -0.02854676   5   sp_30 -0.293764363 -0.31146820
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    -#> 26421    0 -1.02600445 -0.04287046   8    sp_2  0.829990553  0.16243481
    -#> 26431    0 -1.02600445 -0.04287046  20    sp_3  0.829990553  0.16243481
    -#> 26441    1 -1.02600445 -0.04287046  10    sp_4  0.829990553  0.16243481
    -#> 26451    1 -1.02600445 -0.04287046  18    sp_5  0.829990553  0.16243481
    -#> 26461    0 -1.02600445 -0.04287046  17    sp_6  0.829990553  0.16243481
    -#> 26471    0 -1.02600445 -0.04287046   9    sp_7  0.829990553  0.16243481
    -#> 26481    0 -1.02600445 -0.04287046   3    sp_8  0.829990553  0.16243481
    -#> 26491    0 -1.02600445 -0.04287046   5    sp_9  0.829990553  0.16243481
    -#> 26501    0 -1.02600445 -0.04287046  16   sp_10  0.829990553  0.16243481
    -#> 26511    0 -1.02600445 -0.04287046  20   sp_11  0.829990553  0.16243481
    -#> 26521    0 -1.02600445 -0.04287046   3   sp_12  0.829990553  0.16243481
    -#> 26531    0 -1.02600445 -0.04287046   3   sp_13  0.829990553  0.16243481
    -#> 26541    0 -1.02600445 -0.04287046  13   sp_14  0.829990553  0.16243481
    -#> 26551    0 -1.02600445 -0.04287046   4   sp_15  0.829990553  0.16243481
    -#> 26561    0 -1.02600445 -0.04287046  15   sp_16  0.829990553  0.16243481
    -#> 26571    0 -1.02600445 -0.04287046  19   sp_17  0.829990553  0.16243481
    -#> 26581    0 -1.02600445 -0.04287046  13   sp_18  0.829990553  0.16243481
    -#> 26591    0 -1.02600445 -0.04287046  12   sp_19  0.829990553  0.16243481
    -#> 26601    0 -1.02600445 -0.04287046  20   sp_20  0.829990553  0.16243481
    -#> 26611    0 -1.02600445 -0.04287046  13   sp_21  0.829990553  0.16243481
    -#> 26621    0 -1.02600445 -0.04287046  13   sp_22  0.829990553  0.16243481
    -#> 26631    0 -1.02600445 -0.04287046   3   sp_23  0.829990553  0.16243481
    -#> 26641    0 -1.02600445 -0.04287046  20   sp_24  0.829990553  0.16243481
    -#> 26651    0 -1.02600445 -0.04287046   5   sp_25  0.829990553  0.16243481
    -#> 26661    0 -1.02600445 -0.04287046  13   sp_26  0.829990553  0.16243481
    -#> 26671    0 -1.02600445 -0.04287046  12   sp_27  0.829990553  0.16243481
    -#> 26681    0 -1.02600445 -0.04287046   8   sp_28  0.829990553  0.16243481
    -#> 26691    0 -1.02600445 -0.04287046   6   sp_29  0.829990553  0.16243481
    -#> 26701    1 -1.02600445 -0.04287046  16   sp_30  0.829990553  0.16243481
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    -#> 27621    0 -0.72889123  1.36860228  12    sp_2 -1.259322145  0.89326994
    -#> 27631    0 -0.72889123  1.36860228  16    sp_3 -1.259322145  0.89326994
    -#> 27641    0 -0.72889123  1.36860228  15    sp_4 -1.259322145  0.89326994
    -#> 27651    0 -0.72889123  1.36860228   1    sp_5 -1.259322145  0.89326994
    -#> 27661    0 -0.72889123  1.36860228  12    sp_6 -1.259322145  0.89326994
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    -#> 27691    0 -0.72889123  1.36860228   4    sp_9 -1.259322145  0.89326994
    -#> 27701    0 -0.72889123  1.36860228   9   sp_10 -1.259322145  0.89326994
    -#> 27711    0 -0.72889123  1.36860228  20   sp_11 -1.259322145  0.89326994
    -#> 27721    0 -0.72889123  1.36860228   5   sp_12 -1.259322145  0.89326994
    -#> 27731    0 -0.72889123  1.36860228   9   sp_13 -1.259322145  0.89326994
    -#> 27741    0 -0.72889123  1.36860228  19   sp_14 -1.259322145  0.89326994
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    -#> 27761    0 -0.72889123  1.36860228   2   sp_16 -1.259322145  0.89326994
    -#> 27771    0 -0.72889123  1.36860228  12   sp_17 -1.259322145  0.89326994
    -#> 27781    0 -0.72889123  1.36860228  15   sp_18 -1.259322145  0.89326994
    -#> 27791    0 -0.72889123  1.36860228  17   sp_19 -1.259322145  0.89326994
    -#> 27801    0 -0.72889123  1.36860228   3   sp_20 -1.259322145  0.89326994
    -#> 27811    0 -0.72889123  1.36860228   7   sp_21 -1.259322145  0.89326994
    -#> 27821    0 -0.72889123  1.36860228  13   sp_22 -1.259322145  0.89326994
    -#> 27831    0 -0.72889123  1.36860228  14   sp_23 -1.259322145  0.89326994
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    -#> 27851    0 -0.72889123  1.36860228   9   sp_25 -1.259322145  0.89326994
    -#> 27861    0 -0.72889123  1.36860228  15   sp_26 -1.259322145  0.89326994
    -#> 27871    0 -0.72889123  1.36860228   1   sp_27 -1.259322145  0.89326994
    -#> 27881    0 -0.72889123  1.36860228  10   sp_28 -1.259322145  0.89326994
    -#> 27891    0 -0.72889123  1.36860228   9   sp_29 -1.259322145  0.89326994
    -#> 27901    0 -0.72889123  1.36860228   9   sp_30 -1.259322145  0.89326994
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    -#> 28831    1 -0.62503927 -0.22577099  12    sp_3  1.003169414 -0.33194685
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    -#> 28851    0 -0.62503927 -0.22577099   7    sp_5  1.003169414 -0.33194685
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    -#> 28901    0 -0.62503927 -0.22577099  14   sp_10  1.003169414 -0.33194685
    -#> 28911    0 -0.62503927 -0.22577099   7   sp_11  1.003169414 -0.33194685
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    -#> 28951    0 -0.62503927 -0.22577099  14   sp_15  1.003169414 -0.33194685
    -#> 28961    0 -0.62503927 -0.22577099  19   sp_16  1.003169414 -0.33194685
    -#> 28971    1 -0.62503927 -0.22577099  14   sp_17  1.003169414 -0.33194685
    -#> 28981    0 -0.62503927 -0.22577099  16   sp_18  1.003169414 -0.33194685
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    -#> 29011    0 -0.62503927 -0.22577099  18   sp_21  1.003169414 -0.33194685
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    -#> 29071    0 -0.62503927 -0.22577099   4   sp_27  1.003169414 -0.33194685
    -#> 29081    0 -0.62503927 -0.22577099  19   sp_28  1.003169414 -0.33194685
    -#> 29091    0 -0.62503927 -0.22577099  13   sp_29  1.003169414 -0.33194685
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    -#> 30281    0 -1.68669331  1.51647060   5   sp_28  0.762974146  0.03164965
    -#> 30291    0 -1.68669331  1.51647060   5   sp_29  0.762974146  0.03164965
    -#> 30301    0 -1.68669331  1.51647060   7   sp_30  0.762974146  0.03164965
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    -#> 31221    0  0.83778704 -1.54875280  16    sp_2 -0.533239399  1.03360032
    -#> 31231    1  0.83778704 -1.54875280   8    sp_3 -0.533239399  1.03360032
    -#> 31241    0  0.83778704 -1.54875280  18    sp_4 -0.533239399  1.03360032
    -#> 31251    0  0.83778704 -1.54875280  19    sp_5 -0.533239399  1.03360032
    -#> 31261    0  0.83778704 -1.54875280   9    sp_6 -0.533239399  1.03360032
    -#> 31271    0  0.83778704 -1.54875280  19    sp_7 -0.533239399  1.03360032
    -#> 31281    0  0.83778704 -1.54875280  14    sp_8 -0.533239399  1.03360032
    -#> 31291    0  0.83778704 -1.54875280  19    sp_9 -0.533239399  1.03360032
    -#> 31301    0  0.83778704 -1.54875280   5   sp_10 -0.533239399  1.03360032
    -#> 31311    0  0.83778704 -1.54875280  13   sp_11 -0.533239399  1.03360032
    -#> 31321    0  0.83778704 -1.54875280  16   sp_12 -0.533239399  1.03360032
    -#> 31331    0  0.83778704 -1.54875280   7   sp_13 -0.533239399  1.03360032
    -#> 31341    0  0.83778704 -1.54875280   8   sp_14 -0.533239399  1.03360032
    -#> 31351    0  0.83778704 -1.54875280  16   sp_15 -0.533239399  1.03360032
    -#> 31361    0  0.83778704 -1.54875280  15   sp_16 -0.533239399  1.03360032
    -#> 31371    0  0.83778704 -1.54875280  20   sp_17 -0.533239399  1.03360032
    -#> 31381    0  0.83778704 -1.54875280   3   sp_18 -0.533239399  1.03360032
    -#> 31391    0  0.83778704 -1.54875280  17   sp_19 -0.533239399  1.03360032
    -#> 31401    0  0.83778704 -1.54875280   7   sp_20 -0.533239399  1.03360032
    -#> 31411    0  0.83778704 -1.54875280  13   sp_21 -0.533239399  1.03360032
    -#> 31421    0  0.83778704 -1.54875280   3   sp_22 -0.533239399  1.03360032
    -#> 31431    0  0.83778704 -1.54875280  13   sp_23 -0.533239399  1.03360032
    -#> 31441    0  0.83778704 -1.54875280  14   sp_24 -0.533239399  1.03360032
    -#> 31451    0  0.83778704 -1.54875280   4   sp_25 -0.533239399  1.03360032
    -#> 31461    0  0.83778704 -1.54875280  16   sp_26 -0.533239399  1.03360032
    -#> 31471    0  0.83778704 -1.54875280   9   sp_27 -0.533239399  1.03360032
    -#> 31481    0  0.83778704 -1.54875280  16   sp_28 -0.533239399  1.03360032
    -#> 31491    0  0.83778704 -1.54875280   9   sp_29 -0.533239399  1.03360032
    -#> 31501    0  0.83778704 -1.54875280   5   sp_30 -0.533239399  1.03360032
    -#> 32411    0  0.15337312  0.58461375  14    sp_1  0.306420867 -0.23808313
    -#> 32421    0  0.15337312  0.58461375  12    sp_2  0.306420867 -0.23808313
    -#> 32431    1  0.15337312  0.58461375  14    sp_3  0.306420867 -0.23808313
    -#> 32441    0  0.15337312  0.58461375  13    sp_4  0.306420867 -0.23808313
    -#> 32451    0  0.15337312  0.58461375  20    sp_5  0.306420867 -0.23808313
    -#> 32461    0  0.15337312  0.58461375  15    sp_6  0.306420867 -0.23808313
    -#> 32471    0  0.15337312  0.58461375   8    sp_7  0.306420867 -0.23808313
    -#> 32481    0  0.15337312  0.58461375  13    sp_8  0.306420867 -0.23808313
    -#> 32491    0  0.15337312  0.58461375   7    sp_9  0.306420867 -0.23808313
    -#> 32501    0  0.15337312  0.58461375   5   sp_10  0.306420867 -0.23808313
    -#> 32511    0  0.15337312  0.58461375   8   sp_11  0.306420867 -0.23808313
    -#> 32521    0  0.15337312  0.58461375  15   sp_12  0.306420867 -0.23808313
    -#> 32531    0  0.15337312  0.58461375  14   sp_13  0.306420867 -0.23808313
    -#> 32541    0  0.15337312  0.58461375  16   sp_14  0.306420867 -0.23808313
    -#> 32551    0  0.15337312  0.58461375   1   sp_15  0.306420867 -0.23808313
    -#> 32561    0  0.15337312  0.58461375  14   sp_16  0.306420867 -0.23808313
    -#> 32571    0  0.15337312  0.58461375  17   sp_17  0.306420867 -0.23808313
    -#> 32581    1  0.15337312  0.58461375   7   sp_18  0.306420867 -0.23808313
    -#> 32591    0  0.15337312  0.58461375   7   sp_19  0.306420867 -0.23808313
    -#> 32601    0  0.15337312  0.58461375  13   sp_20  0.306420867 -0.23808313
    -#> 32611    0  0.15337312  0.58461375  15   sp_21  0.306420867 -0.23808313
    -#> 32621    0  0.15337312  0.58461375  12   sp_22  0.306420867 -0.23808313
    -#> 32631    0  0.15337312  0.58461375  14   sp_23  0.306420867 -0.23808313
    -#> 32641    0  0.15337312  0.58461375  19   sp_24  0.306420867 -0.23808313
    -#> 32651    0  0.15337312  0.58461375  19   sp_25  0.306420867 -0.23808313
    -#> 32661    0  0.15337312  0.58461375  17   sp_26  0.306420867 -0.23808313
    -#> 32671    0  0.15337312  0.58461375   9   sp_27  0.306420867 -0.23808313
    -#> 32681    0  0.15337312  0.58461375  13   sp_28  0.306420867 -0.23808313
    -#> 32691    0  0.15337312  0.58461375  14   sp_29  0.306420867 -0.23808313
    -#> 32701    0  0.15337312  0.58461375   6   sp_30  0.306420867 -0.23808313
    -#> 33611    0 -1.13813694  0.12385424   1    sp_1  1.205383826  0.60383887
    -#> 33621    0 -1.13813694  0.12385424  16    sp_2  1.205383826  0.60383887
    -#> 33631    0 -1.13813694  0.12385424   8    sp_3  1.205383826  0.60383887
    -#> 33641    0 -1.13813694  0.12385424   5    sp_4  1.205383826  0.60383887
    -#> 33651    0 -1.13813694  0.12385424  10    sp_5  1.205383826  0.60383887
    -#> 33661    0 -1.13813694  0.12385424   9    sp_6  1.205383826  0.60383887
    -#> 33671    0 -1.13813694  0.12385424   5    sp_7  1.205383826  0.60383887
    -#> 33681    0 -1.13813694  0.12385424  14    sp_8  1.205383826  0.60383887
    -#> 33691    0 -1.13813694  0.12385424  19    sp_9  1.205383826  0.60383887
    -#> 33701    0 -1.13813694  0.12385424   1   sp_10  1.205383826  0.60383887
    -#> 33711    0 -1.13813694  0.12385424  16   sp_11  1.205383826  0.60383887
    -#> 33721    0 -1.13813694  0.12385424   6   sp_12  1.205383826  0.60383887
    -#> 33731    0 -1.13813694  0.12385424  20   sp_13  1.205383826  0.60383887
    -#> 33741    0 -1.13813694  0.12385424   8   sp_14  1.205383826  0.60383887
    -#> 33751    0 -1.13813694  0.12385424  14   sp_15  1.205383826  0.60383887
    -#> 33761    0 -1.13813694  0.12385424  14   sp_16  1.205383826  0.60383887
    -#> 33771    0 -1.13813694  0.12385424   8   sp_17  1.205383826  0.60383887
    -#> 33781    0 -1.13813694  0.12385424  11   sp_18  1.205383826  0.60383887
    -#> 33791    1 -1.13813694  0.12385424  20   sp_19  1.205383826  0.60383887
    -#> 33801    0 -1.13813694  0.12385424   5   sp_20  1.205383826  0.60383887
    -#> 33811    0 -1.13813694  0.12385424  14   sp_21  1.205383826  0.60383887
    -#> 33821    0 -1.13813694  0.12385424   1   sp_22  1.205383826  0.60383887
    -#> 33831    0 -1.13813694  0.12385424   1   sp_23  1.205383826  0.60383887
    -#> 33841    0 -1.13813694  0.12385424   5   sp_24  1.205383826  0.60383887
    -#> 33851    0 -1.13813694  0.12385424   3   sp_25  1.205383826  0.60383887
    -#> 33861    0 -1.13813694  0.12385424   4   sp_26  1.205383826  0.60383887
    -#> 33871    0 -1.13813694  0.12385424   3   sp_27  1.205383826  0.60383887
    -#> 33881    0 -1.13813694  0.12385424  14   sp_28  1.205383826  0.60383887
    -#> 33891    1 -1.13813694  0.12385424  18   sp_29  1.205383826  0.60383887
    -#> 33901    0 -1.13813694  0.12385424  10   sp_30  1.205383826  0.60383887
    -#> 34811    1  1.25381492  0.21594157  12    sp_1 -1.002725787  0.52440358
    -#> 34821    0  1.25381492  0.21594157  16    sp_2 -1.002725787  0.52440358
    -#> 34831    0  1.25381492  0.21594157   3    sp_3 -1.002725787  0.52440358
    -#> 34841    0  1.25381492  0.21594157  12    sp_4 -1.002725787  0.52440358
    -#> 34851    0  1.25381492  0.21594157   5    sp_5 -1.002725787  0.52440358
    -#> 34861    0  1.25381492  0.21594157  13    sp_6 -1.002725787  0.52440358
    -#> 34871    0  1.25381492  0.21594157   8    sp_7 -1.002725787  0.52440358
    -#> 34881    0  1.25381492  0.21594157  17    sp_8 -1.002725787  0.52440358
    -#> 34891    0  1.25381492  0.21594157   5    sp_9 -1.002725787  0.52440358
    -#> 34901    0  1.25381492  0.21594157  19   sp_10 -1.002725787  0.52440358
    -#> 34911    0  1.25381492  0.21594157   6   sp_11 -1.002725787  0.52440358
    -#> 34921    0  1.25381492  0.21594157   2   sp_12 -1.002725787  0.52440358
    -#> 34931    0  1.25381492  0.21594157  17   sp_13 -1.002725787  0.52440358
    -#> 34941    0  1.25381492  0.21594157  17   sp_14 -1.002725787  0.52440358
    -#> 34951    0  1.25381492  0.21594157   8   sp_15 -1.002725787  0.52440358
    -#> 34961    0  1.25381492  0.21594157  19   sp_16 -1.002725787  0.52440358
    -#> 34971    1  1.25381492  0.21594157  18   sp_17 -1.002725787  0.52440358
    -#> 34981    0  1.25381492  0.21594157  19   sp_18 -1.002725787  0.52440358
    -#> 34991    0  1.25381492  0.21594157   5   sp_19 -1.002725787  0.52440358
    -#> 35001    0  1.25381492  0.21594157  14   sp_20 -1.002725787  0.52440358
    -#> 35011    0  1.25381492  0.21594157  12   sp_21 -1.002725787  0.52440358
    -#> 35021    0  1.25381492  0.21594157   1   sp_22 -1.002725787  0.52440358
    -#> 35031    0  1.25381492  0.21594157  16   sp_23 -1.002725787  0.52440358
    -#> 35041    0  1.25381492  0.21594157  18   sp_24 -1.002725787  0.52440358
    -#> 35051    0  1.25381492  0.21594157  20   sp_25 -1.002725787  0.52440358
    -#> 35061    0  1.25381492  0.21594157   7   sp_26 -1.002725787  0.52440358
    -#> 35071    1  1.25381492  0.21594157   5   sp_27 -1.002725787  0.52440358
    -#> 35081    0  1.25381492  0.21594157  10   sp_28 -1.002725787  0.52440358
    -#> 35091    0  1.25381492  0.21594157   4   sp_29 -1.002725787  0.52440358
    -#> 35101    0  1.25381492  0.21594157   8   sp_30 -1.002725787  0.52440358
    -#> 112      0 -0.56047565  0.42646422   7    sp_1 -0.892245924 -0.63765962
    -#> 212      0 -0.56047565  0.42646422   3    sp_2 -0.892245924 -0.63765962
    -#> 32       0 -0.56047565  0.42646422  15    sp_3 -0.892245924 -0.63765962
    -#> 42       0 -0.56047565  0.42646422   5    sp_4 -0.892245924 -0.63765962
    -#> 52       0 -0.56047565  0.42646422   8    sp_5 -0.892245924 -0.63765962
    -#> 62       0 -0.56047565  0.42646422  19    sp_6 -0.892245924 -0.63765962
    -#> 72       0 -0.56047565  0.42646422  10    sp_7 -0.892245924 -0.63765962
    -#> 82       0 -0.56047565  0.42646422  18    sp_8 -0.892245924 -0.63765962
    -#> 92       0 -0.56047565  0.42646422  10    sp_9 -0.892245924 -0.63765962
    -#> 102      0 -0.56047565  0.42646422  12   sp_10 -0.892245924 -0.63765962
    -#> 113      0 -0.56047565  0.42646422   2   sp_11 -0.892245924 -0.63765962
    -#> 1233     0 -0.56047565  0.42646422  10   sp_12 -0.892245924 -0.63765962
    -#> 1312     1 -0.56047565  0.42646422  12   sp_13 -0.892245924 -0.63765962
    -#> 1412     0 -0.56047565  0.42646422  20   sp_14 -0.892245924 -0.63765962
    -#> 152      0 -0.56047565  0.42646422  14   sp_15 -0.892245924 -0.63765962
    -#> 162      0 -0.56047565  0.42646422  17   sp_16 -0.892245924 -0.63765962
    -#> 172      0 -0.56047565  0.42646422  14   sp_17 -0.892245924 -0.63765962
    -#> 182      0 -0.56047565  0.42646422   3   sp_18 -0.892245924 -0.63765962
    -#> 192      0 -0.56047565  0.42646422   8   sp_19 -0.892245924 -0.63765962
    -#> 202      0 -0.56047565  0.42646422  14   sp_20 -0.892245924 -0.63765962
    -#> 213      0 -0.56047565  0.42646422  19   sp_21 -0.892245924 -0.63765962
    -#> 222      0 -0.56047565  0.42646422  15   sp_22 -0.892245924 -0.63765962
    -#> 232      0 -0.56047565  0.42646422  17   sp_23 -0.892245924 -0.63765962
    -#> 2433     0 -0.56047565  0.42646422  11   sp_24 -0.892245924 -0.63765962
    -#> 2512     0 -0.56047565  0.42646422   7   sp_25 -0.892245924 -0.63765962
    -#> 2612     0 -0.56047565  0.42646422  15   sp_26 -0.892245924 -0.63765962
    -#> 272      0 -0.56047565  0.42646422   6   sp_27 -0.892245924 -0.63765962
    -#> 282      0 -0.56047565  0.42646422  14   sp_28 -0.892245924 -0.63765962
    -#> 292      0 -0.56047565  0.42646422   7   sp_29 -0.892245924 -0.63765962
    -#> 302      0 -0.56047565  0.42646422  10   sp_30 -0.892245924 -0.63765962
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    -#> 12212    0 -0.23017749 -0.29507148   6    sp_2  0.030148911 -0.84353812
    -#> 1234     0 -0.23017749 -0.29507148  16    sp_3  0.030148911 -0.84353812
    -#> 1242     0 -0.23017749 -0.29507148  11    sp_4  0.030148911 -0.84353812
    -#> 1252     0 -0.23017749 -0.29507148   4    sp_5  0.030148911 -0.84353812
    -#> 1262     0 -0.23017749 -0.29507148  12    sp_6  0.030148911 -0.84353812
    -#> 1272     1 -0.23017749 -0.29507148  14    sp_7  0.030148911 -0.84353812
    -#> 1282     0 -0.23017749 -0.29507148  19    sp_8  0.030148911 -0.84353812
    -#> 1292     0 -0.23017749 -0.29507148   7    sp_9  0.030148911 -0.84353812
    -#> 1302     0 -0.23017749 -0.29507148   9   sp_10  0.030148911 -0.84353812
    -#> 1313     0 -0.23017749 -0.29507148   7   sp_11  0.030148911 -0.84353812
    -#> 13212    1 -0.23017749 -0.29507148   2   sp_12  0.030148911 -0.84353812
    -#> 13312    0 -0.23017749 -0.29507148  16   sp_13  0.030148911 -0.84353812
    -#> 13412    0 -0.23017749 -0.29507148  13   sp_14  0.030148911 -0.84353812
    -#> 1352     0 -0.23017749 -0.29507148  19   sp_15  0.030148911 -0.84353812
    -#> 1362     1 -0.23017749 -0.29507148  20   sp_16  0.030148911 -0.84353812
    -#> 1372     0 -0.23017749 -0.29507148  15   sp_17  0.030148911 -0.84353812
    -#> 1382     0 -0.23017749 -0.29507148   7   sp_18  0.030148911 -0.84353812
    -#> 1392     0 -0.23017749 -0.29507148   4   sp_19  0.030148911 -0.84353812
    -#> 1402     0 -0.23017749 -0.29507148   1   sp_20  0.030148911 -0.84353812
    -#> 1413     0 -0.23017749 -0.29507148   8   sp_21  0.030148911 -0.84353812
    -#> 1422     1 -0.23017749 -0.29507148  20   sp_22  0.030148911 -0.84353812
    -#> 1432     1 -0.23017749 -0.29507148  16   sp_23  0.030148911 -0.84353812
    -#> 14412    0 -0.23017749 -0.29507148  11   sp_24  0.030148911 -0.84353812
    -#> 14512    0 -0.23017749 -0.29507148  16   sp_25  0.030148911 -0.84353812
    -#> 14612    0 -0.23017749 -0.29507148  20   sp_26  0.030148911 -0.84353812
    -#> 1472     0 -0.23017749 -0.29507148   8   sp_27  0.030148911 -0.84353812
    -#> 1482     0 -0.23017749 -0.29507148   3   sp_28  0.030148911 -0.84353812
    -#> 1492     0 -0.23017749 -0.29507148   4   sp_29  0.030148911 -0.84353812
    -#> 1502     0 -0.23017749 -0.29507148  20   sp_30  0.030148911 -0.84353812
    -#> 24112    0  1.55870831  0.89512566  12    sp_1 -0.421998576 -0.60935167
    -#> 24212    1  1.55870831  0.89512566  17    sp_2 -0.421998576 -0.60935167
    -#> 2434     0  1.55870831  0.89512566  10    sp_3 -0.421998576 -0.60935167
    -#> 2442     1  1.55870831  0.89512566  20    sp_4 -0.421998576 -0.60935167
    -#> 2452     1  1.55870831  0.89512566  11    sp_5 -0.421998576 -0.60935167
    -#> 2462     1  1.55870831  0.89512566   8    sp_6 -0.421998576 -0.60935167
    -#> 2472     1  1.55870831  0.89512566  14    sp_7 -0.421998576 -0.60935167
    -#> 2482     0  1.55870831  0.89512566  13    sp_8 -0.421998576 -0.60935167
    -#> 2492     1  1.55870831  0.89512566   2    sp_9 -0.421998576 -0.60935167
    -#> 2502     0  1.55870831  0.89512566  11   sp_10 -0.421998576 -0.60935167
    -#> 2513     0  1.55870831  0.89512566  13   sp_11 -0.421998576 -0.60935167
    -#> 25212    1  1.55870831  0.89512566  14   sp_12 -0.421998576 -0.60935167
    -#> 25312    0  1.55870831  0.89512566   6   sp_13 -0.421998576 -0.60935167
    -#> 25412    0  1.55870831  0.89512566   8   sp_14 -0.421998576 -0.60935167
    -#> 2552     1  1.55870831  0.89512566  12   sp_15 -0.421998576 -0.60935167
    -#> 2562     0  1.55870831  0.89512566   4   sp_16 -0.421998576 -0.60935167
    -#> 2572     0  1.55870831  0.89512566  13   sp_17 -0.421998576 -0.60935167
    -#> 2582     0  1.55870831  0.89512566  14   sp_18 -0.421998576 -0.60935167
    -#> 2592     0  1.55870831  0.89512566  16   sp_19 -0.421998576 -0.60935167
    -#> 2602     0  1.55870831  0.89512566   1   sp_20 -0.421998576 -0.60935167
    -#> 2613     0  1.55870831  0.89512566   8   sp_21 -0.421998576 -0.60935167
    -#> 2622     0  1.55870831  0.89512566   8   sp_22 -0.421998576 -0.60935167
    -#> 2632     0  1.55870831  0.89512566  10   sp_23 -0.421998576 -0.60935167
    -#> 26412    0  1.55870831  0.89512566   8   sp_24 -0.421998576 -0.60935167
    -#> 26512    0  1.55870831  0.89512566  18   sp_25 -0.421998576 -0.60935167
    -#> 26612    0  1.55870831  0.89512566   9   sp_26 -0.421998576 -0.60935167
    -#> 2672     1  1.55870831  0.89512566   7   sp_27 -0.421998576 -0.60935167
    -#> 2682     0  1.55870831  0.89512566   7   sp_28 -0.421998576 -0.60935167
    -#> 2692     1  1.55870831  0.89512566  10   sp_29 -0.421998576 -0.60935167
    -#> 2702     0  1.55870831  0.89512566  11   sp_30 -0.421998576 -0.60935167
    -#> 3612     0  0.07050839  0.87813349   1    sp_1 -0.247425100 -1.79048626
    -#> 3622     0  0.07050839  0.87813349  19    sp_2 -0.247425100 -1.79048626
    -#> 3632     0  0.07050839  0.87813349  10    sp_3 -0.247425100 -1.79048626
    -#> 3642     0  0.07050839  0.87813349  13    sp_4 -0.247425100 -1.79048626
    -#> 3652     1  0.07050839  0.87813349  11    sp_5 -0.247425100 -1.79048626
    -#> 3662     0  0.07050839  0.87813349  11    sp_6 -0.247425100 -1.79048626
    -#> 3672     0  0.07050839  0.87813349  20    sp_7 -0.247425100 -1.79048626
    -#> 3682     0  0.07050839  0.87813349   7    sp_8 -0.247425100 -1.79048626
    -#> 3692     0  0.07050839  0.87813349  20    sp_9 -0.247425100 -1.79048626
    -#> 3702     0  0.07050839  0.87813349   9   sp_10 -0.247425100 -1.79048626
    -#> 3712     0  0.07050839  0.87813349   9   sp_11 -0.247425100 -1.79048626
    -#> 3722     0  0.07050839  0.87813349   5   sp_12 -0.247425100 -1.79048626
    -#> 3732     1  0.07050839  0.87813349  14   sp_13 -0.247425100 -1.79048626
    -#> 3742     0  0.07050839  0.87813349  14   sp_14 -0.247425100 -1.79048626
    -#> 3752     0  0.07050839  0.87813349   6   sp_15 -0.247425100 -1.79048626
    -#> 3762     0  0.07050839  0.87813349   1   sp_16 -0.247425100 -1.79048626
    -#> 3772     0  0.07050839  0.87813349  10   sp_17 -0.247425100 -1.79048626
    -#> 3782     1  0.07050839  0.87813349  17   sp_18 -0.247425100 -1.79048626
    -#> 3792     1  0.07050839  0.87813349  17   sp_19 -0.247425100 -1.79048626
    -#> 3802     0  0.07050839  0.87813349   7   sp_20 -0.247425100 -1.79048626
    -#> 3812     0  0.07050839  0.87813349   9   sp_21 -0.247425100 -1.79048626
    -#> 3822     0  0.07050839  0.87813349  20   sp_22 -0.247425100 -1.79048626
    -#> 3832     0  0.07050839  0.87813349   6   sp_23 -0.247425100 -1.79048626
    -#> 3842     0  0.07050839  0.87813349  18   sp_24 -0.247425100 -1.79048626
    -#> 3852     0  0.07050839  0.87813349  17   sp_25 -0.247425100 -1.79048626
    -#> 3862     0  0.07050839  0.87813349   5   sp_26 -0.247425100 -1.79048626
    -#> 3872     1  0.07050839  0.87813349  20   sp_27 -0.247425100 -1.79048626
    -#> 3882     0  0.07050839  0.87813349   3   sp_28 -0.247425100 -1.79048626
    -#> 3892     0  0.07050839  0.87813349  14   sp_29 -0.247425100 -1.79048626
    -#> 3902     0  0.07050839  0.87813349   1   sp_30 -0.247425100 -1.79048626
    -#> 4812     1  0.12928774  0.82158108   2    sp_1  0.644151150 -0.23984666
    -#> 4822     0  0.12928774  0.82158108   4    sp_2  0.644151150 -0.23984666
    -#> 4832     0  0.12928774  0.82158108  10    sp_3  0.644151150 -0.23984666
    -#> 4842     0  0.12928774  0.82158108   1    sp_4  0.644151150 -0.23984666
    -#> 4852     0  0.12928774  0.82158108   5    sp_5  0.644151150 -0.23984666
    -#> 4862     0  0.12928774  0.82158108   8    sp_6  0.644151150 -0.23984666
    -#> 4872     0  0.12928774  0.82158108  13    sp_7  0.644151150 -0.23984666
    -#> 4882     0  0.12928774  0.82158108  18    sp_8  0.644151150 -0.23984666
    -#> 4892     0  0.12928774  0.82158108  10    sp_9  0.644151150 -0.23984666
    -#> 4902     0  0.12928774  0.82158108   6   sp_10  0.644151150 -0.23984666
    -#> 4912     1  0.12928774  0.82158108   7   sp_11  0.644151150 -0.23984666
    -#> 4922     0  0.12928774  0.82158108   9   sp_12  0.644151150 -0.23984666
    -#> 4932     0  0.12928774  0.82158108  16   sp_13  0.644151150 -0.23984666
    -#> 4942     1  0.12928774  0.82158108  17   sp_14  0.644151150 -0.23984666
    -#> 4952     0  0.12928774  0.82158108  13   sp_15  0.644151150 -0.23984666
    -#> 4962     0  0.12928774  0.82158108   8   sp_16  0.644151150 -0.23984666
    -#> 4972     0  0.12928774  0.82158108   7   sp_17  0.644151150 -0.23984666
    -#> 4982     0  0.12928774  0.82158108  20   sp_18  0.644151150 -0.23984666
    -#> 4992     0  0.12928774  0.82158108  18   sp_19  0.644151150 -0.23984666
    -#> 5002     0  0.12928774  0.82158108  17   sp_20  0.644151150 -0.23984666
    -#> 5012     0  0.12928774  0.82158108   1   sp_21  0.644151150 -0.23984666
    -#> 5022     0  0.12928774  0.82158108   2   sp_22  0.644151150 -0.23984666
    -#> 5032     0  0.12928774  0.82158108  17   sp_23  0.644151150 -0.23984666
    -#> 5042     0  0.12928774  0.82158108   2   sp_24  0.644151150 -0.23984666
    -#> 5052     0  0.12928774  0.82158108  13   sp_25  0.644151150 -0.23984666
    -#> 5062     0  0.12928774  0.82158108  17   sp_26  0.644151150 -0.23984666
    -#> 5072     0  0.12928774  0.82158108   3   sp_27  0.644151150 -0.23984666
    -#> 5082     0  0.12928774  0.82158108  18   sp_28  0.644151150 -0.23984666
    -#> 5092     1  0.12928774  0.82158108   2   sp_29  0.644151150 -0.23984666
    -#> 5102     0  0.12928774  0.82158108   5   sp_30  0.644151150 -0.23984666
    -#> 6012     0  1.71506499  0.68864025  12    sp_1  0.218513365  1.48442693
    -#> 6022     0  1.71506499  0.68864025  13    sp_2  0.218513365  1.48442693
    -#> 6032     0  1.71506499  0.68864025  10    sp_3  0.218513365  1.48442693
    -#> 6042     1  1.71506499  0.68864025   6    sp_4  0.218513365  1.48442693
    -#> 6052     0  1.71506499  0.68864025  10    sp_5  0.218513365  1.48442693
    -#> 6062     0  1.71506499  0.68864025  10    sp_6  0.218513365  1.48442693
    -#> 6072     0  1.71506499  0.68864025   6    sp_7  0.218513365  1.48442693
    -#> 6082     0  1.71506499  0.68864025  16    sp_8  0.218513365  1.48442693
    -#> 6092     0  1.71506499  0.68864025  16    sp_9  0.218513365  1.48442693
    -#> 6102     0  1.71506499  0.68864025   3   sp_10  0.218513365  1.48442693
    -#> 6112     0  1.71506499  0.68864025   4   sp_11  0.218513365  1.48442693
    -#> 6122     1  1.71506499  0.68864025   3   sp_12  0.218513365  1.48442693
    -#> 6132     0  1.71506499  0.68864025   3   sp_13  0.218513365  1.48442693
    -#> 6142     0  1.71506499  0.68864025  16   sp_14  0.218513365  1.48442693
    -#> 6152     0  1.71506499  0.68864025   2   sp_15  0.218513365  1.48442693
    -#> 6162     0  1.71506499  0.68864025  15   sp_16  0.218513365  1.48442693
    -#> 6172     0  1.71506499  0.68864025   3   sp_17  0.218513365  1.48442693
    -#> 6182     0  1.71506499  0.68864025   9   sp_18  0.218513365  1.48442693
    -#> 6192     0  1.71506499  0.68864025   7   sp_19  0.218513365  1.48442693
    -#> 6202     0  1.71506499  0.68864025   9   sp_20  0.218513365  1.48442693
    -#> 6212     0  1.71506499  0.68864025   4   sp_21  0.218513365  1.48442693
    -#> 6222     0  1.71506499  0.68864025   2   sp_22  0.218513365  1.48442693
    -#> 6232     0  1.71506499  0.68864025  12   sp_23  0.218513365  1.48442693
    -#> 6242     0  1.71506499  0.68864025   9   sp_24  0.218513365  1.48442693
    -#> 6252     0  1.71506499  0.68864025  11   sp_25  0.218513365  1.48442693
    -#> 6262     0  1.71506499  0.68864025   7   sp_26  0.218513365  1.48442693
    -#> 6272     0  1.71506499  0.68864025  13   sp_27  0.218513365  1.48442693
    -#> 6282     1  1.71506499  0.68864025   5   sp_28  0.218513365  1.48442693
    -#> 6292     0  1.71506499  0.68864025  11   sp_29  0.218513365  1.48442693
    -#> 6302     0  1.71506499  0.68864025   1   sp_30  0.218513365  1.48442693
    -#> 7212     0  0.46091621  0.55391765  19    sp_1  1.524904741  0.66138217
    -#> 7222     1  0.46091621  0.55391765  12    sp_2  1.524904741  0.66138217
    -#> 7232     0  0.46091621  0.55391765   2    sp_3  1.524904741  0.66138217
    -#> 7242     0  0.46091621  0.55391765  17    sp_4  1.524904741  0.66138217
    -#> 7252     1  0.46091621  0.55391765  12    sp_5  1.524904741  0.66138217
    -#> 7262     0  0.46091621  0.55391765   3    sp_6  1.524904741  0.66138217
    -#> 7272     0  0.46091621  0.55391765  18    sp_7  1.524904741  0.66138217
    -#> 7282     0  0.46091621  0.55391765  15    sp_8  1.524904741  0.66138217
    -#> 7292     0  0.46091621  0.55391765   3    sp_9  1.524904741  0.66138217
    -#> 7302     0  0.46091621  0.55391765  19   sp_10  1.524904741  0.66138217
    -#> 7312     0  0.46091621  0.55391765  18   sp_11  1.524904741  0.66138217
    -#> 7322     0  0.46091621  0.55391765  17   sp_12  1.524904741  0.66138217
    -#> 7332     0  0.46091621  0.55391765   6   sp_13  1.524904741  0.66138217
    -#> 7342     0  0.46091621  0.55391765  10   sp_14  1.524904741  0.66138217
    -#> 7352     0  0.46091621  0.55391765   8   sp_15  1.524904741  0.66138217
    -#> 7362     0  0.46091621  0.55391765  10   sp_16  1.524904741  0.66138217
    -#> 7372     0  0.46091621  0.55391765  13   sp_17  1.524904741  0.66138217
    -#> 7382     1  0.46091621  0.55391765  20   sp_18  1.524904741  0.66138217
    -#> 7392     0  0.46091621  0.55391765   6   sp_19  1.524904741  0.66138217
    -#> 7402     0  0.46091621  0.55391765  20   sp_20  1.524904741  0.66138217
    -#> 7412     0  0.46091621  0.55391765  20   sp_21  1.524904741  0.66138217
    -#> 7422     0  0.46091621  0.55391765   9   sp_22  1.524904741  0.66138217
    -#> 7432     1  0.46091621  0.55391765  16   sp_23  1.524904741  0.66138217
    -#> 7442     0  0.46091621  0.55391765   8   sp_24  1.524904741  0.66138217
    -#> 7452     0  0.46091621  0.55391765   7   sp_25  1.524904741  0.66138217
    -#> 7462     0  0.46091621  0.55391765  10   sp_26  1.524904741  0.66138217
    -#> 7472     0  0.46091621  0.55391765  17   sp_27  1.524904741  0.66138217
    -#> 7482     0  0.46091621  0.55391765  18   sp_28  1.524904741  0.66138217
    -#> 7492     0  0.46091621  0.55391765   8   sp_29  1.524904741  0.66138217
    -#> 7502     0  0.46091621  0.55391765  19   sp_30  1.524904741  0.66138217
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    -#> 8422     0 -1.26506123 -0.06191171  11    sp_2 -1.024046710 -0.81527923
    -#> 8432     0 -1.26506123 -0.06191171  17    sp_3 -1.024046710 -0.81527923
    -#> 8442     0 -1.26506123 -0.06191171  12    sp_4 -1.024046710 -0.81527923
    -#> 8452     0 -1.26506123 -0.06191171   2    sp_5 -1.024046710 -0.81527923
    -#> 8462     0 -1.26506123 -0.06191171  19    sp_6 -1.024046710 -0.81527923
    -#> 8472     0 -1.26506123 -0.06191171  13    sp_7 -1.024046710 -0.81527923
    -#> 8482     0 -1.26506123 -0.06191171  13    sp_8 -1.024046710 -0.81527923
    -#> 8492     0 -1.26506123 -0.06191171  19    sp_9 -1.024046710 -0.81527923
    -#> 8502     1 -1.26506123 -0.06191171  10   sp_10 -1.024046710 -0.81527923
    -#> 8512     0 -1.26506123 -0.06191171  16   sp_11 -1.024046710 -0.81527923
    -#> 8522     0 -1.26506123 -0.06191171   5   sp_12 -1.024046710 -0.81527923
    -#> 8532     0 -1.26506123 -0.06191171   4   sp_13 -1.024046710 -0.81527923
    -#> 8542     0 -1.26506123 -0.06191171  18   sp_14 -1.024046710 -0.81527923
    -#> 8552     0 -1.26506123 -0.06191171   1   sp_15 -1.024046710 -0.81527923
    -#> 8562     0 -1.26506123 -0.06191171  16   sp_16 -1.024046710 -0.81527923
    -#> 8572     0 -1.26506123 -0.06191171  17   sp_17 -1.024046710 -0.81527923
    -#> 8582     0 -1.26506123 -0.06191171  12   sp_18 -1.024046710 -0.81527923
    -#> 8592     1 -1.26506123 -0.06191171   2   sp_19 -1.024046710 -0.81527923
    -#> 8602     0 -1.26506123 -0.06191171  18   sp_20 -1.024046710 -0.81527923
    -#> 8612     0 -1.26506123 -0.06191171  12   sp_21 -1.024046710 -0.81527923
    -#> 8622     0 -1.26506123 -0.06191171  15   sp_22 -1.024046710 -0.81527923
    -#> 8632     0 -1.26506123 -0.06191171  19   sp_23 -1.024046710 -0.81527923
    -#> 8642     0 -1.26506123 -0.06191171   6   sp_24 -1.024046710 -0.81527923
    -#> 8652     0 -1.26506123 -0.06191171  16   sp_25 -1.024046710 -0.81527923
    -#> 8662     0 -1.26506123 -0.06191171  15   sp_26 -1.024046710 -0.81527923
    -#> 8672     0 -1.26506123 -0.06191171  19   sp_27 -1.024046710 -0.81527923
    -#> 8682     0 -1.26506123 -0.06191171   3   sp_28 -1.024046710 -0.81527923
    -#> 8692     0 -1.26506123 -0.06191171  14   sp_29 -1.024046710 -0.81527923
    -#> 8702     0 -1.26506123 -0.06191171   1   sp_30 -1.024046710 -0.81527923
    -#> 9612     0 -0.68685285 -0.30596266   1    sp_1  0.519500645 -0.43573685
    -#> 9622     1 -0.68685285 -0.30596266  16    sp_2  0.519500645 -0.43573685
    -#> 9632     0 -0.68685285 -0.30596266  11    sp_3  0.519500645 -0.43573685
    -#> 9642     0 -0.68685285 -0.30596266   4    sp_4  0.519500645 -0.43573685
    -#> 9652     1 -0.68685285 -0.30596266  12    sp_5  0.519500645 -0.43573685
    -#> 9662     0 -0.68685285 -0.30596266  13    sp_6  0.519500645 -0.43573685
    -#> 9672     0 -0.68685285 -0.30596266  10    sp_7  0.519500645 -0.43573685
    -#> 9682     0 -0.68685285 -0.30596266  10    sp_8  0.519500645 -0.43573685
    -#> 9692     0 -0.68685285 -0.30596266   7    sp_9  0.519500645 -0.43573685
    -#> 9702     0 -0.68685285 -0.30596266  18   sp_10  0.519500645 -0.43573685
    -#> 9712     0 -0.68685285 -0.30596266  17   sp_11  0.519500645 -0.43573685
    -#> 9722     0 -0.68685285 -0.30596266  20   sp_12  0.519500645 -0.43573685
    -#> 9732     0 -0.68685285 -0.30596266   9   sp_13  0.519500645 -0.43573685
    -#> 9742     1 -0.68685285 -0.30596266  11   sp_14  0.519500645 -0.43573685
    -#> 9752     1 -0.68685285 -0.30596266  12   sp_15  0.519500645 -0.43573685
    -#> 9762     0 -0.68685285 -0.30596266   8   sp_16  0.519500645 -0.43573685
    -#> 9772     0 -0.68685285 -0.30596266  18   sp_17  0.519500645 -0.43573685
    -#> 9782     0 -0.68685285 -0.30596266   5   sp_18  0.519500645 -0.43573685
    -#> 9792     0 -0.68685285 -0.30596266  18   sp_19  0.519500645 -0.43573685
    -#> 9802     0 -0.68685285 -0.30596266   6   sp_20  0.519500645 -0.43573685
    -#> 9812     0 -0.68685285 -0.30596266  10   sp_21  0.519500645 -0.43573685
    -#> 9822     0 -0.68685285 -0.30596266   9   sp_22  0.519500645 -0.43573685
    -#> 9832     0 -0.68685285 -0.30596266  11   sp_23  0.519500645 -0.43573685
    -#> 9842     0 -0.68685285 -0.30596266   6   sp_24  0.519500645 -0.43573685
    -#> 9852     0 -0.68685285 -0.30596266  12   sp_25  0.519500645 -0.43573685
    -#> 9862     0 -0.68685285 -0.30596266  19   sp_26  0.519500645 -0.43573685
    -#> 9872     0 -0.68685285 -0.30596266   4   sp_27  0.519500645 -0.43573685
    -#> 9882     0 -0.68685285 -0.30596266   3   sp_28  0.519500645 -0.43573685
    -#> 9892     0 -0.68685285 -0.30596266  14   sp_29  0.519500645 -0.43573685
    -#> 9902     0 -0.68685285 -0.30596266   8   sp_30  0.519500645 -0.43573685
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    -#> 10832    0 -0.44566197 -0.38047100  10    sp_3  0.024742072  0.73153658
    -#> 10842    0 -0.44566197 -0.38047100  16    sp_4  0.024742072  0.73153658
    -#> 10852    0 -0.44566197 -0.38047100  16    sp_5  0.024742072  0.73153658
    -#> 10862    0 -0.44566197 -0.38047100  20    sp_6  0.024742072  0.73153658
    -#> 10872    1 -0.44566197 -0.38047100  10    sp_7  0.024742072  0.73153658
    -#> 10882    0 -0.44566197 -0.38047100   6    sp_8  0.024742072  0.73153658
    -#> 10892    0 -0.44566197 -0.38047100  19    sp_9  0.024742072  0.73153658
    -#> 10902    0 -0.44566197 -0.38047100   4   sp_10  0.024742072  0.73153658
    -#> 10912    0 -0.44566197 -0.38047100   9   sp_11  0.024742072  0.73153658
    -#> 10922    0 -0.44566197 -0.38047100   4   sp_12  0.024742072  0.73153658
    -#> 10932    0 -0.44566197 -0.38047100  15   sp_13  0.024742072  0.73153658
    -#> 10942    0 -0.44566197 -0.38047100  20   sp_14  0.024742072  0.73153658
    -#> 10952    1 -0.44566197 -0.38047100  17   sp_15  0.024742072  0.73153658
    -#> 10962    0 -0.44566197 -0.38047100   7   sp_16  0.024742072  0.73153658
    -#> 10972    0 -0.44566197 -0.38047100  15   sp_17  0.024742072  0.73153658
    -#> 10982    0 -0.44566197 -0.38047100   5   sp_18  0.024742072  0.73153658
    -#> 10992    1 -0.44566197 -0.38047100  14   sp_19  0.024742072  0.73153658
    -#> 11002    0 -0.44566197 -0.38047100  15   sp_20  0.024742072  0.73153658
    -#> 11012    0 -0.44566197 -0.38047100  15   sp_21  0.024742072  0.73153658
    -#> 11022    0 -0.44566197 -0.38047100  16   sp_22  0.024742072  0.73153658
    -#> 11032    0 -0.44566197 -0.38047100  19   sp_23  0.024742072  0.73153658
    -#> 11042    0 -0.44566197 -0.38047100   8   sp_24  0.024742072  0.73153658
    -#> 11052    0 -0.44566197 -0.38047100   5   sp_25  0.024742072  0.73153658
    -#> 11062    0 -0.44566197 -0.38047100   7   sp_26  0.024742072  0.73153658
    -#> 11072    1 -0.44566197 -0.38047100  20   sp_27  0.024742072  0.73153658
    -#> 11082    0 -0.44566197 -0.38047100  16   sp_28  0.024742072  0.73153658
    -#> 11092    0 -0.44566197 -0.38047100  16   sp_29  0.024742072  0.73153658
    -#> 11102    0 -0.44566197 -0.38047100   9   sp_30  0.024742072  0.73153658
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    -#> 12032    0  1.22408180 -0.69470698  19    sp_3 -0.970649504  1.50473579
    -#> 12042    0  1.22408180 -0.69470698  10    sp_4 -0.970649504  1.50473579
    -#> 12052    0  1.22408180 -0.69470698   2    sp_5 -0.970649504  1.50473579
    -#> 12062    0  1.22408180 -0.69470698   6    sp_6 -0.970649504  1.50473579
    -#> 12072    0  1.22408180 -0.69470698  20    sp_7 -0.970649504  1.50473579
    -#> 12082    0  1.22408180 -0.69470698  14    sp_8 -0.970649504  1.50473579
    -#> 12092    0  1.22408180 -0.69470698  14    sp_9 -0.970649504  1.50473579
    -#> 12102    0  1.22408180 -0.69470698   6   sp_10 -0.970649504  1.50473579
    -#> 12113    0  1.22408180 -0.69470698  18   sp_11 -0.970649504  1.50473579
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    -#> 12142    0  1.22408180 -0.69470698  11   sp_14 -0.970649504  1.50473579
    -#> 12152    0  1.22408180 -0.69470698   7   sp_15 -0.970649504  1.50473579
    -#> 12162    0  1.22408180 -0.69470698  19   sp_16 -0.970649504  1.50473579
    -#> 12172    0  1.22408180 -0.69470698   8   sp_17 -0.970649504  1.50473579
    -#> 12182    0  1.22408180 -0.69470698  10   sp_18 -0.970649504  1.50473579
    -#> 12192    0  1.22408180 -0.69470698   5   sp_19 -0.970649504  1.50473579
    -#> 12202    0  1.22408180 -0.69470698  17   sp_20 -0.970649504  1.50473579
    -#> 12213    0  1.22408180 -0.69470698   6   sp_21 -0.970649504  1.50473579
    -#> 12222    0  1.22408180 -0.69470698   8   sp_22 -0.970649504  1.50473579
    -#> 12232    0  1.22408180 -0.69470698  20   sp_23 -0.970649504  1.50473579
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    -#> 12252    0  1.22408180 -0.69470698  15   sp_25 -0.970649504  1.50473579
    -#> 12262    0  1.22408180 -0.69470698  17   sp_26 -0.970649504  1.50473579
    -#> 12272    1  1.22408180 -0.69470698   3   sp_27 -0.970649504  1.50473579
    -#> 12282    0  1.22408180 -0.69470698  15   sp_28 -0.970649504  1.50473579
    -#> 12292    0  1.22408180 -0.69470698  20   sp_29 -0.970649504  1.50473579
    -#> 12302    0  1.22408180 -0.69470698   1   sp_30 -0.970649504  1.50473579
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    -#> 18072    1  1.78691314 -1.12310858  19    sp_7  0.292763360 -0.62291708
    -#> 18082    0  1.78691314 -1.12310858   3    sp_8  0.292763360 -0.62291708
    -#> 18092    0  1.78691314 -1.12310858   1    sp_9  0.292763360 -0.62291708
    -#> 18102    1  1.78691314 -1.12310858   7   sp_10  0.292763360 -0.62291708
    -#> 18112    1  1.78691314 -1.12310858   5   sp_11  0.292763360 -0.62291708
    -#> 18122    1  1.78691314 -1.12310858   9   sp_12  0.292763360 -0.62291708
    -#> 18132    1  1.78691314 -1.12310858  17   sp_13  0.292763360 -0.62291708
    -#> 18142    1  1.78691314 -1.12310858   5   sp_14  0.292763360 -0.62291708
    -#> 18152    1  1.78691314 -1.12310858  12   sp_15  0.292763360 -0.62291708
    -#> 18162    1  1.78691314 -1.12310858   2   sp_16  0.292763360 -0.62291708
    -#> 18172    1  1.78691314 -1.12310858  18   sp_17  0.292763360 -0.62291708
    -#> 18182    1  1.78691314 -1.12310858   4   sp_18  0.292763360 -0.62291708
    -#> 18192    1  1.78691314 -1.12310858  10   sp_19  0.292763360 -0.62291708
    -#> 18202    0  1.78691314 -1.12310858  15   sp_20  0.292763360 -0.62291708
    -#> 18212    1  1.78691314 -1.12310858   8   sp_21  0.292763360 -0.62291708
    -#> 18222    1  1.78691314 -1.12310858   1   sp_22  0.292763360 -0.62291708
    -#> 18232    1  1.78691314 -1.12310858  11   sp_23  0.292763360 -0.62291708
    -#> 18242    1  1.78691314 -1.12310858   5   sp_24  0.292763360 -0.62291708
    -#> 18252    1  1.78691314 -1.12310858  11   sp_25  0.292763360 -0.62291708
    -#> 18262    1  1.78691314 -1.12310858  15   sp_26  0.292763360 -0.62291708
    -#> 18272    0  1.78691314 -1.12310858  15   sp_27  0.292763360 -0.62291708
    -#> 18282    1  1.78691314 -1.12310858  10   sp_28  0.292763360 -0.62291708
    -#> 18292    0  1.78691314 -1.12310858  15   sp_29  0.292763360 -0.62291708
    -#> 18302    1  1.78691314 -1.12310858  15   sp_30  0.292763360 -0.62291708
    -#> 19212    1  0.49785048 -0.40288484  20    sp_1 -0.097909392  1.70873840
    -#> 19222    1  0.49785048 -0.40288484  12    sp_2 -0.097909392  1.70873840
    -#> 19232    0  0.49785048 -0.40288484   9    sp_3 -0.097909392  1.70873840
    -#> 19242    0  0.49785048 -0.40288484   4    sp_4 -0.097909392  1.70873840
    -#> 19252    0  0.49785048 -0.40288484   3    sp_5 -0.097909392  1.70873840
    -#> 19262    0  0.49785048 -0.40288484   7    sp_6 -0.097909392  1.70873840
    -#> 19272    0  0.49785048 -0.40288484   4    sp_7 -0.097909392  1.70873840
    -#> 19282    0  0.49785048 -0.40288484   8    sp_8 -0.097909392  1.70873840
    -#> 19292    0  0.49785048 -0.40288484   5    sp_9 -0.097909392  1.70873840
    -#> 19302    0  0.49785048 -0.40288484   6   sp_10 -0.097909392  1.70873840
    -#> 19312    0  0.49785048 -0.40288484   4   sp_11 -0.097909392  1.70873840
    -#> 19322    1  0.49785048 -0.40288484   3   sp_12 -0.097909392  1.70873840
    -#> 19332    0  0.49785048 -0.40288484  11   sp_13 -0.097909392  1.70873840
    -#> 19342    0  0.49785048 -0.40288484  10   sp_14 -0.097909392  1.70873840
    -#> 19352    0  0.49785048 -0.40288484   5   sp_15 -0.097909392  1.70873840
    -#> 19362    0  0.49785048 -0.40288484  11   sp_16 -0.097909392  1.70873840
    -#> 19372    0  0.49785048 -0.40288484  10   sp_17 -0.097909392  1.70873840
    -#> 19382    0  0.49785048 -0.40288484  15   sp_18 -0.097909392  1.70873840
    -#> 19392    0  0.49785048 -0.40288484  19   sp_19 -0.097909392  1.70873840
    -#> 19402    0  0.49785048 -0.40288484  10   sp_20 -0.097909392  1.70873840
    -#> 19412    0  0.49785048 -0.40288484  13   sp_21 -0.097909392  1.70873840
    -#> 19422    0  0.49785048 -0.40288484   3   sp_22 -0.097909392  1.70873840
    -#> 19432    0  0.49785048 -0.40288484  18   sp_23 -0.097909392  1.70873840
    -#> 19442    0  0.49785048 -0.40288484  10   sp_24 -0.097909392  1.70873840
    -#> 19452    0  0.49785048 -0.40288484   8   sp_25 -0.097909392  1.70873840
    -#> 19462    1  0.49785048 -0.40288484  12   sp_26 -0.097909392  1.70873840
    -#> 19472    0  0.49785048 -0.40288484  10   sp_27 -0.097909392  1.70873840
    -#> 19482    0  0.49785048 -0.40288484   7   sp_28 -0.097909392  1.70873840
    -#> 19492    0  0.49785048 -0.40288484   7   sp_29 -0.097909392  1.70873840
    -#> 19502    0  0.49785048 -0.40288484   6   sp_30 -0.097909392  1.70873840
    -#> 20412    0 -1.96661716 -0.46665535  17    sp_1  1.597746035  0.50850841
    -#> 20422    0 -1.96661716 -0.46665535  20    sp_2  1.597746035  0.50850841
    -#> 20432    0 -1.96661716 -0.46665535   1    sp_3  1.597746035  0.50850841
    -#> 20442    0 -1.96661716 -0.46665535   5    sp_4  1.597746035  0.50850841
    -#> 20452    0 -1.96661716 -0.46665535  10    sp_5  1.597746035  0.50850841
    -#> 20462    0 -1.96661716 -0.46665535  13    sp_6  1.597746035  0.50850841
    -#> 20472    1 -1.96661716 -0.46665535  10    sp_7  1.597746035  0.50850841
    -#> 20482    0 -1.96661716 -0.46665535   2    sp_8  1.597746035  0.50850841
    -#> 20492    0 -1.96661716 -0.46665535  15    sp_9  1.597746035  0.50850841
    -#> 20502    0 -1.96661716 -0.46665535  15   sp_10  1.597746035  0.50850841
    -#> 20512    0 -1.96661716 -0.46665535   8   sp_11  1.597746035  0.50850841
    -#> 20522    0 -1.96661716 -0.46665535   3   sp_12  1.597746035  0.50850841
    -#> 20532    0 -1.96661716 -0.46665535   2   sp_13  1.597746035  0.50850841
    -#> 20542    0 -1.96661716 -0.46665535   6   sp_14  1.597746035  0.50850841
    -#> 20552    0 -1.96661716 -0.46665535  14   sp_15  1.597746035  0.50850841
    -#> 20562    0 -1.96661716 -0.46665535  15   sp_16  1.597746035  0.50850841
    -#> 20572    0 -1.96661716 -0.46665535  19   sp_17  1.597746035  0.50850841
    -#> 20582    0 -1.96661716 -0.46665535   9   sp_18  1.597746035  0.50850841
    -#> 20592    0 -1.96661716 -0.46665535  15   sp_19  1.597746035  0.50850841
    -#> 20602    0 -1.96661716 -0.46665535  16   sp_20  1.597746035  0.50850841
    -#> 20612    0 -1.96661716 -0.46665535   8   sp_21  1.597746035  0.50850841
    -#> 20622    0 -1.96661716 -0.46665535   9   sp_22  1.597746035  0.50850841
    -#> 20632    0 -1.96661716 -0.46665535  16   sp_23  1.597746035  0.50850841
    -#> 20642    0 -1.96661716 -0.46665535   9   sp_24  1.597746035  0.50850841
    -#> 20652    0 -1.96661716 -0.46665535   2   sp_25  1.597746035  0.50850841
    -#> 20662    0 -1.96661716 -0.46665535   9   sp_26  1.597746035  0.50850841
    -#> 20672    0 -1.96661716 -0.46665535  11   sp_27  1.597746035  0.50850841
    -#> 20682    0 -1.96661716 -0.46665535  11   sp_28  1.597746035  0.50850841
    -#> 20692    0 -1.96661716 -0.46665535   4   sp_29  1.597746035  0.50850841
    -#> 20702    0 -1.96661716 -0.46665535   7   sp_30  1.597746035  0.50850841
    -#> 21612    0  0.70135590  0.77996512  18    sp_1 -0.925654688  0.27650993
    -#> 21622    0  0.70135590  0.77996512  11    sp_2 -0.925654688  0.27650993
    -#> 21632    0  0.70135590  0.77996512   1    sp_3 -0.925654688  0.27650993
    -#> 21642    0  0.70135590  0.77996512  11    sp_4 -0.925654688  0.27650993
    -#> 21652    0  0.70135590  0.77996512   6    sp_5 -0.925654688  0.27650993
    -#> 21662    0  0.70135590  0.77996512  10    sp_6 -0.925654688  0.27650993
    -#> 21672    0  0.70135590  0.77996512  18    sp_7 -0.925654688  0.27650993
    -#> 21682    0  0.70135590  0.77996512   3    sp_8 -0.925654688  0.27650993
    -#> 21692    0  0.70135590  0.77996512   3    sp_9 -0.925654688  0.27650993
    -#> 21702    1  0.70135590  0.77996512   2   sp_10 -0.925654688  0.27650993
    -#> 21712    0  0.70135590  0.77996512   8   sp_11 -0.925654688  0.27650993
    -#> 21722    0  0.70135590  0.77996512  13   sp_12 -0.925654688  0.27650993
    -#> 21732    0  0.70135590  0.77996512   8   sp_13 -0.925654688  0.27650993
    -#> 21742    0  0.70135590  0.77996512   2   sp_14 -0.925654688  0.27650993
    -#> 21752    0  0.70135590  0.77996512   6   sp_15 -0.925654688  0.27650993
    -#> 21762    0  0.70135590  0.77996512  17   sp_16 -0.925654688  0.27650993
    -#> 21772    0  0.70135590  0.77996512  14   sp_17 -0.925654688  0.27650993
    -#> 21782    0  0.70135590  0.77996512   7   sp_18 -0.925654688  0.27650993
    -#> 21792    0  0.70135590  0.77996512  13   sp_19 -0.925654688  0.27650993
    -#> 21802    0  0.70135590  0.77996512   8   sp_20 -0.925654688  0.27650993
    -#> 21812    0  0.70135590  0.77996512   6   sp_21 -0.925654688  0.27650993
    -#> 21822    0  0.70135590  0.77996512  11   sp_22 -0.925654688  0.27650993
    -#> 21832    0  0.70135590  0.77996512  10   sp_23 -0.925654688  0.27650993
    -#> 21842    0  0.70135590  0.77996512  17   sp_24 -0.925654688  0.27650993
    -#> 21852    0  0.70135590  0.77996512   7   sp_25 -0.925654688  0.27650993
    -#> 21862    0  0.70135590  0.77996512  12   sp_26 -0.925654688  0.27650993
    -#> 21872    0  0.70135590  0.77996512  19   sp_27 -0.925654688  0.27650993
    -#> 21882    0  0.70135590  0.77996512  17   sp_28 -0.925654688  0.27650993
    -#> 21892    0  0.70135590  0.77996512   8   sp_29 -0.925654688  0.27650993
    -#> 21902    0  0.70135590  0.77996512  15   sp_30 -0.925654688  0.27650993
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    -#> 22822    0 -0.47279141 -0.08336907  14    sp_2  0.840684900  1.39791523
    -#> 22832    0 -0.47279141 -0.08336907  17    sp_3  0.840684900  1.39791523
    -#> 22842    0 -0.47279141 -0.08336907   1    sp_4  0.840684900  1.39791523
    -#> 22852    0 -0.47279141 -0.08336907  18    sp_5  0.840684900  1.39791523
    -#> 22862    0 -0.47279141 -0.08336907  18    sp_6  0.840684900  1.39791523
    -#> 22872    1 -0.47279141 -0.08336907  20    sp_7  0.840684900  1.39791523
    -#> 22882    0 -0.47279141 -0.08336907  10    sp_8  0.840684900  1.39791523
    -#> 22892    0 -0.47279141 -0.08336907  10    sp_9  0.840684900  1.39791523
    -#> 22902    0 -0.47279141 -0.08336907   9   sp_10  0.840684900  1.39791523
    -#> 22912    0 -0.47279141 -0.08336907  19   sp_11  0.840684900  1.39791523
    -#> 22922    0 -0.47279141 -0.08336907  18   sp_12  0.840684900  1.39791523
    -#> 22932    0 -0.47279141 -0.08336907  18   sp_13  0.840684900  1.39791523
    -#> 22942    0 -0.47279141 -0.08336907  12   sp_14  0.840684900  1.39791523
    -#> 22952    0 -0.47279141 -0.08336907  12   sp_15  0.840684900  1.39791523
    -#> 22962    0 -0.47279141 -0.08336907   4   sp_16  0.840684900  1.39791523
    -#> 22972    0 -0.47279141 -0.08336907  20   sp_17  0.840684900  1.39791523
    -#> 22982    0 -0.47279141 -0.08336907  10   sp_18  0.840684900  1.39791523
    -#> 22992    0 -0.47279141 -0.08336907   5   sp_19  0.840684900  1.39791523
    -#> 23002    1 -0.47279141 -0.08336907   2   sp_20  0.840684900  1.39791523
    -#> 23012    0 -0.47279141 -0.08336907  18   sp_21  0.840684900  1.39791523
    -#> 23022    1 -0.47279141 -0.08336907  12   sp_22  0.840684900  1.39791523
    -#> 23032    0 -0.47279141 -0.08336907  13   sp_23  0.840684900  1.39791523
    -#> 23042    0 -0.47279141 -0.08336907  11   sp_24  0.840684900  1.39791523
    -#> 23052    0 -0.47279141 -0.08336907  19   sp_25  0.840684900  1.39791523
    -#> 23062    0 -0.47279141 -0.08336907   6   sp_26  0.840684900  1.39791523
    -#> 23072    0 -0.47279141 -0.08336907  18   sp_27  0.840684900  1.39791523
    -#> 23082    0 -0.47279141 -0.08336907  10   sp_28  0.840684900  1.39791523
    -#> 23092    0 -0.47279141 -0.08336907   9   sp_29  0.840684900  1.39791523
    -#> 23102    0 -0.47279141 -0.08336907   3   sp_30  0.840684900  1.39791523
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    -#> 24022    0 -1.06782371  0.25331851   8    sp_2 -0.641055073 -1.70788764
    -#> 24032    0 -1.06782371  0.25331851  13    sp_3 -0.641055073 -1.70788764
    -#> 24042    0 -1.06782371  0.25331851   1    sp_4 -0.641055073 -1.70788764
    -#> 24052    1 -1.06782371  0.25331851   2    sp_5 -0.641055073 -1.70788764
    -#> 24062    1 -1.06782371  0.25331851  11    sp_6 -0.641055073 -1.70788764
    -#> 24072    0 -1.06782371  0.25331851  16    sp_7 -0.641055073 -1.70788764
    -#> 24082    0 -1.06782371  0.25331851   5    sp_8 -0.641055073 -1.70788764
    -#> 24092    0 -1.06782371  0.25331851   4    sp_9 -0.641055073 -1.70788764
    -#> 24102    0 -1.06782371  0.25331851   3   sp_10 -0.641055073 -1.70788764
    -#> 24113    0 -1.06782371  0.25331851  15   sp_11 -0.641055073 -1.70788764
    -#> 24122    0 -1.06782371  0.25331851  10   sp_12 -0.641055073 -1.70788764
    -#> 24132    0 -1.06782371  0.25331851   7   sp_13 -0.641055073 -1.70788764
    -#> 24142    0 -1.06782371  0.25331851   7   sp_14 -0.641055073 -1.70788764
    -#> 24152    0 -1.06782371  0.25331851   2   sp_15 -0.641055073 -1.70788764
    -#> 24162    0 -1.06782371  0.25331851  18   sp_16 -0.641055073 -1.70788764
    -#> 24172    0 -1.06782371  0.25331851  18   sp_17 -0.641055073 -1.70788764
    -#> 24182    0 -1.06782371  0.25331851   3   sp_18 -0.641055073 -1.70788764
    -#> 24192    0 -1.06782371  0.25331851   8   sp_19 -0.641055073 -1.70788764
    -#> 24202    0 -1.06782371  0.25331851  14   sp_20 -0.641055073 -1.70788764
    -#> 24213    0 -1.06782371  0.25331851   9   sp_21 -0.641055073 -1.70788764
    -#> 24222    0 -1.06782371  0.25331851  15   sp_22 -0.641055073 -1.70788764
    -#> 24232    0 -1.06782371  0.25331851  17   sp_23 -0.641055073 -1.70788764
    -#> 24242    0 -1.06782371  0.25331851   7   sp_24 -0.641055073 -1.70788764
    -#> 24252    0 -1.06782371  0.25331851   8   sp_25 -0.641055073 -1.70788764
    -#> 24262    0 -1.06782371  0.25331851   1   sp_26 -0.641055073 -1.70788764
    -#> 24272    0 -1.06782371  0.25331851   9   sp_27 -0.641055073 -1.70788764
    -#> 24282    0 -1.06782371  0.25331851   3   sp_28 -0.641055073 -1.70788764
    -#> 24292    0 -1.06782371  0.25331851   2   sp_29 -0.641055073 -1.70788764
    -#> 24302    0 -1.06782371  0.25331851  11   sp_30 -0.641055073 -1.70788764
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    -#> 25222    0 -0.21797491 -0.02854676   8    sp_2 -1.458915620  1.04822440
    -#> 25232    0 -0.21797491 -0.02854676  20    sp_3 -1.458915620  1.04822440
    -#> 25242    0 -0.21797491 -0.02854676  11    sp_4 -1.458915620  1.04822440
    -#> 25252    0 -0.21797491 -0.02854676  18    sp_5 -1.458915620  1.04822440
    -#> 25262    0 -0.21797491 -0.02854676  14    sp_6 -1.458915620  1.04822440
    -#> 25272    0 -0.21797491 -0.02854676   3    sp_7 -1.458915620  1.04822440
    -#> 25282    0 -0.21797491 -0.02854676   3    sp_8 -1.458915620  1.04822440
    -#> 25292    0 -0.21797491 -0.02854676  14    sp_9 -1.458915620  1.04822440
    -#> 25302    0 -0.21797491 -0.02854676   7   sp_10 -1.458915620  1.04822440
    -#> 25313    0 -0.21797491 -0.02854676  15   sp_11 -1.458915620  1.04822440
    -#> 25322    0 -0.21797491 -0.02854676   8   sp_12 -1.458915620  1.04822440
    -#> 25332    0 -0.21797491 -0.02854676   1   sp_13 -1.458915620  1.04822440
    -#> 25342    0 -0.21797491 -0.02854676   5   sp_14 -1.458915620  1.04822440
    -#> 25352    0 -0.21797491 -0.02854676  17   sp_15 -1.458915620  1.04822440
    -#> 25362    0 -0.21797491 -0.02854676   6   sp_16 -1.458915620  1.04822440
    -#> 25372    0 -0.21797491 -0.02854676  10   sp_17 -1.458915620  1.04822440
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    -#> 25392    0 -0.21797491 -0.02854676   8   sp_19 -1.458915620  1.04822440
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    -#> 32692    0  0.15337312  0.58461375  14   sp_29 -0.603832898  0.15166108
    -#> 32702    0  0.15337312  0.58461375   6   sp_30 -0.603832898  0.15166108
    -#> 33612    0 -1.13813694  0.12385424   1    sp_1 -0.922031005 -0.57269753
    -#> 33622    0 -1.13813694  0.12385424  16    sp_2 -0.922031005 -0.57269753
    -#> 33632    0 -1.13813694  0.12385424   8    sp_3 -0.922031005 -0.57269753
    -#> 33642    0 -1.13813694  0.12385424   5    sp_4 -0.922031005 -0.57269753
    -#> 33652    0 -1.13813694  0.12385424  10    sp_5 -0.922031005 -0.57269753
    -#> 33662    0 -1.13813694  0.12385424   9    sp_6 -0.922031005 -0.57269753
    -#> 33672    0 -1.13813694  0.12385424   5    sp_7 -0.922031005 -0.57269753
    -#> 33682    0 -1.13813694  0.12385424  14    sp_8 -0.922031005 -0.57269753
    -#> 33692    0 -1.13813694  0.12385424  19    sp_9 -0.922031005 -0.57269753
    -#> 33702    0 -1.13813694  0.12385424   1   sp_10 -0.922031005 -0.57269753
    -#> 33712    0 -1.13813694  0.12385424  16   sp_11 -0.922031005 -0.57269753
    -#> 33722    0 -1.13813694  0.12385424   6   sp_12 -0.922031005 -0.57269753
    -#> 33732    0 -1.13813694  0.12385424  20   sp_13 -0.922031005 -0.57269753
    -#> 33742    0 -1.13813694  0.12385424   8   sp_14 -0.922031005 -0.57269753
    -#> 33752    0 -1.13813694  0.12385424  14   sp_15 -0.922031005 -0.57269753
    -#> 33762    0 -1.13813694  0.12385424  14   sp_16 -0.922031005 -0.57269753
    -#> 33772    0 -1.13813694  0.12385424   8   sp_17 -0.922031005 -0.57269753
    -#> 33782    0 -1.13813694  0.12385424  11   sp_18 -0.922031005 -0.57269753
    -#> 33792    0 -1.13813694  0.12385424  20   sp_19 -0.922031005 -0.57269753
    -#> 33802    0 -1.13813694  0.12385424   5   sp_20 -0.922031005 -0.57269753
    -#> 33812    0 -1.13813694  0.12385424  14   sp_21 -0.922031005 -0.57269753
    -#> 33822    0 -1.13813694  0.12385424   1   sp_22 -0.922031005 -0.57269753
    -#> 33832    0 -1.13813694  0.12385424   1   sp_23 -0.922031005 -0.57269753
    -#> 33842    0 -1.13813694  0.12385424   5   sp_24 -0.922031005 -0.57269753
    -#> 33852    0 -1.13813694  0.12385424   3   sp_25 -0.922031005 -0.57269753
    -#> 33862    0 -1.13813694  0.12385424   4   sp_26 -0.922031005 -0.57269753
    -#> 33872    0 -1.13813694  0.12385424   3   sp_27 -0.922031005 -0.57269753
    -#> 33882    0 -1.13813694  0.12385424  14   sp_28 -0.922031005 -0.57269753
    -#> 33892    1 -1.13813694  0.12385424  18   sp_29 -0.922031005 -0.57269753
    -#> 33902    0 -1.13813694  0.12385424  10   sp_30 -0.922031005 -0.57269753
    -#> 34812    1  1.25381492  0.21594157  12    sp_1  0.479910722  0.32978651
    -#> 34822    0  1.25381492  0.21594157  16    sp_2  0.479910722  0.32978651
    -#> 34832    0  1.25381492  0.21594157   3    sp_3  0.479910722  0.32978651
    -#> 34842    0  1.25381492  0.21594157  12    sp_4  0.479910722  0.32978651
    -#> 34852    0  1.25381492  0.21594157   5    sp_5  0.479910722  0.32978651
    -#> 34862    0  1.25381492  0.21594157  13    sp_6  0.479910722  0.32978651
    -#> 34872    0  1.25381492  0.21594157   8    sp_7  0.479910722  0.32978651
    -#> 34882    1  1.25381492  0.21594157  17    sp_8  0.479910722  0.32978651
    -#> 34892    1  1.25381492  0.21594157   5    sp_9  0.479910722  0.32978651
    -#> 34902    0  1.25381492  0.21594157  19   sp_10  0.479910722  0.32978651
    -#> 34912    0  1.25381492  0.21594157   6   sp_11  0.479910722  0.32978651
    -#> 34922    0  1.25381492  0.21594157   2   sp_12  0.479910722  0.32978651
    -#> 34932    0  1.25381492  0.21594157  17   sp_13  0.479910722  0.32978651
    -#> 34942    1  1.25381492  0.21594157  17   sp_14  0.479910722  0.32978651
    -#> 34952    1  1.25381492  0.21594157   8   sp_15  0.479910722  0.32978651
    -#> 34962    0  1.25381492  0.21594157  19   sp_16  0.479910722  0.32978651
    -#> 34972    1  1.25381492  0.21594157  18   sp_17  0.479910722  0.32978651
    -#> 34982    0  1.25381492  0.21594157  19   sp_18  0.479910722  0.32978651
    -#> 34992    0  1.25381492  0.21594157   5   sp_19  0.479910722  0.32978651
    -#> 35002    0  1.25381492  0.21594157  14   sp_20  0.479910722  0.32978651
    -#> 35012    1  1.25381492  0.21594157  12   sp_21  0.479910722  0.32978651
    -#> 35022    0  1.25381492  0.21594157   1   sp_22  0.479910722  0.32978651
    -#> 35032    1  1.25381492  0.21594157  16   sp_23  0.479910722  0.32978651
    -#> 35042    0  1.25381492  0.21594157  18   sp_24  0.479910722  0.32978651
    -#> 35052    0  1.25381492  0.21594157  20   sp_25  0.479910722  0.32978651
    -#> 35062    0  1.25381492  0.21594157   7   sp_26  0.479910722  0.32978651
    -#> 35072    1  1.25381492  0.21594157   5   sp_27  0.479910722  0.32978651
    -#> 35082    0  1.25381492  0.21594157  10   sp_28  0.479910722  0.32978651
    -#> 35092    0  1.25381492  0.21594157   4   sp_29  0.479910722  0.32978651
    -#> 35102    0  1.25381492  0.21594157   8   sp_30  0.479910722  0.32978651
    -#> 114      0 -0.56047565  0.42646422   7    sp_1  0.105881568 -0.26338952
    -#> 214      0 -0.56047565  0.42646422   3    sp_2  0.105881568 -0.26338952
    -#> 33       0 -0.56047565  0.42646422  15    sp_3  0.105881568 -0.26338952
    -#> 43       0 -0.56047565  0.42646422   5    sp_4  0.105881568 -0.26338952
    -#> 53       0 -0.56047565  0.42646422   8    sp_5  0.105881568 -0.26338952
    -#> 63       0 -0.56047565  0.42646422  19    sp_6  0.105881568 -0.26338952
    -#> 73       0 -0.56047565  0.42646422  10    sp_7  0.105881568 -0.26338952
    -#> 83       0 -0.56047565  0.42646422  18    sp_8  0.105881568 -0.26338952
    -#> 93       0 -0.56047565  0.42646422  10    sp_9  0.105881568 -0.26338952
    -#> 103      0 -0.56047565  0.42646422  12   sp_10  0.105881568 -0.26338952
    -#> 115      0 -0.56047565  0.42646422   2   sp_11  0.105881568 -0.26338952
    -#> 1235     0 -0.56047565  0.42646422  10   sp_12  0.105881568 -0.26338952
    -#> 1314     0 -0.56047565  0.42646422  12   sp_13  0.105881568 -0.26338952
    -#> 1414     0 -0.56047565  0.42646422  20   sp_14  0.105881568 -0.26338952
    -#> 153      0 -0.56047565  0.42646422  14   sp_15  0.105881568 -0.26338952
    -#> 163      0 -0.56047565  0.42646422  17   sp_16  0.105881568 -0.26338952
    -#> 173      0 -0.56047565  0.42646422  14   sp_17  0.105881568 -0.26338952
    -#> 183      0 -0.56047565  0.42646422   3   sp_18  0.105881568 -0.26338952
    -#> 193      0 -0.56047565  0.42646422   8   sp_19  0.105881568 -0.26338952
    -#> 203      0 -0.56047565  0.42646422  14   sp_20  0.105881568 -0.26338952
    -#> 215      0 -0.56047565  0.42646422  19   sp_21  0.105881568 -0.26338952
    -#> 223      0 -0.56047565  0.42646422  15   sp_22  0.105881568 -0.26338952
    -#> 233      0 -0.56047565  0.42646422  17   sp_23  0.105881568 -0.26338952
    -#> 2435     0 -0.56047565  0.42646422  11   sp_24  0.105881568 -0.26338952
    -#> 2514     0 -0.56047565  0.42646422   7   sp_25  0.105881568 -0.26338952
    -#> 2614     0 -0.56047565  0.42646422  15   sp_26  0.105881568 -0.26338952
    -#> 273      1 -0.56047565  0.42646422   6   sp_27  0.105881568 -0.26338952
    -#> 283      0 -0.56047565  0.42646422  14   sp_28  0.105881568 -0.26338952
    -#> 293      0 -0.56047565  0.42646422   7   sp_29  0.105881568 -0.26338952
    -#> 303      0 -0.56047565  0.42646422  10   sp_30  0.105881568 -0.26338952
    -#> 12114    0 -0.23017749 -0.29507148   5    sp_1 -1.140377953  0.61794489
    -#> 12214    0 -0.23017749 -0.29507148   6    sp_2 -1.140377953  0.61794489
    -#> 1236     0 -0.23017749 -0.29507148  16    sp_3 -1.140377953  0.61794489
    -#> 1243     0 -0.23017749 -0.29507148  11    sp_4 -1.140377953  0.61794489
    -#> 1253     0 -0.23017749 -0.29507148   4    sp_5 -1.140377953  0.61794489
    -#> 1263     0 -0.23017749 -0.29507148  12    sp_6 -1.140377953  0.61794489
    -#> 1273     0 -0.23017749 -0.29507148  14    sp_7 -1.140377953  0.61794489
    -#> 1283     0 -0.23017749 -0.29507148  19    sp_8 -1.140377953  0.61794489
    -#> 1293     0 -0.23017749 -0.29507148   7    sp_9 -1.140377953  0.61794489
    -#> 1303     0 -0.23017749 -0.29507148   9   sp_10 -1.140377953  0.61794489
    -#> 1315     0 -0.23017749 -0.29507148   7   sp_11 -1.140377953  0.61794489
    -#> 13214    0 -0.23017749 -0.29507148   2   sp_12 -1.140377953  0.61794489
    -#> 13314    0 -0.23017749 -0.29507148  16   sp_13 -1.140377953  0.61794489
    -#> 13414    0 -0.23017749 -0.29507148  13   sp_14 -1.140377953  0.61794489
    -#> 1353     0 -0.23017749 -0.29507148  19   sp_15 -1.140377953  0.61794489
    -#> 1363     0 -0.23017749 -0.29507148  20   sp_16 -1.140377953  0.61794489
    -#> 1373     0 -0.23017749 -0.29507148  15   sp_17 -1.140377953  0.61794489
    -#> 1383     1 -0.23017749 -0.29507148   7   sp_18 -1.140377953  0.61794489
    -#> 1393     0 -0.23017749 -0.29507148   4   sp_19 -1.140377953  0.61794489
    -#> 1403     0 -0.23017749 -0.29507148   1   sp_20 -1.140377953  0.61794489
    -#> 1415     0 -0.23017749 -0.29507148   8   sp_21 -1.140377953  0.61794489
    -#> 1423     1 -0.23017749 -0.29507148  20   sp_22 -1.140377953  0.61794489
    -#> 1433     0 -0.23017749 -0.29507148  16   sp_23 -1.140377953  0.61794489
    -#> 14414    0 -0.23017749 -0.29507148  11   sp_24 -1.140377953  0.61794489
    -#> 14514    0 -0.23017749 -0.29507148  16   sp_25 -1.140377953  0.61794489
    -#> 14614    0 -0.23017749 -0.29507148  20   sp_26 -1.140377953  0.61794489
    -#> 1473     0 -0.23017749 -0.29507148   8   sp_27 -1.140377953  0.61794489
    -#> 1483     0 -0.23017749 -0.29507148   3   sp_28 -1.140377953  0.61794489
    -#> 1493     0 -0.23017749 -0.29507148   4   sp_29 -1.140377953  0.61794489
    -#> 1503     0 -0.23017749 -0.29507148  20   sp_30 -1.140377953  0.61794489
    -#> 24114    0  1.55870831  0.89512566  12    sp_1 -0.971485822 -0.16289598
    -#> 24214    1  1.55870831  0.89512566  17    sp_2 -0.971485822 -0.16289598
    -#> 2436     0  1.55870831  0.89512566  10    sp_3 -0.971485822 -0.16289598
    -#> 2443     0  1.55870831  0.89512566  20    sp_4 -0.971485822 -0.16289598
    -#> 2453     1  1.55870831  0.89512566  11    sp_5 -0.971485822 -0.16289598
    -#> 2463     0  1.55870831  0.89512566   8    sp_6 -0.971485822 -0.16289598
    -#> 2473     1  1.55870831  0.89512566  14    sp_7 -0.971485822 -0.16289598
    -#> 2483     0  1.55870831  0.89512566  13    sp_8 -0.971485822 -0.16289598
    -#> 2493     0  1.55870831  0.89512566   2    sp_9 -0.971485822 -0.16289598
    -#> 2503     0  1.55870831  0.89512566  11   sp_10 -0.971485822 -0.16289598
    -#> 2515     0  1.55870831  0.89512566  13   sp_11 -0.971485822 -0.16289598
    -#> 25214    0  1.55870831  0.89512566  14   sp_12 -0.971485822 -0.16289598
    -#> 25314    0  1.55870831  0.89512566   6   sp_13 -0.971485822 -0.16289598
    -#> 25414    0  1.55870831  0.89512566   8   sp_14 -0.971485822 -0.16289598
    -#> 2553     1  1.55870831  0.89512566  12   sp_15 -0.971485822 -0.16289598
    -#> 2563     0  1.55870831  0.89512566   4   sp_16 -0.971485822 -0.16289598
    -#> 2573     0  1.55870831  0.89512566  13   sp_17 -0.971485822 -0.16289598
    -#> 2583     0  1.55870831  0.89512566  14   sp_18 -0.971485822 -0.16289598
    -#> 2593     0  1.55870831  0.89512566  16   sp_19 -0.971485822 -0.16289598
    -#> 2603     0  1.55870831  0.89512566   1   sp_20 -0.971485822 -0.16289598
    -#> 2615     1  1.55870831  0.89512566   8   sp_21 -0.971485822 -0.16289598
    -#> 2623     0  1.55870831  0.89512566   8   sp_22 -0.971485822 -0.16289598
    -#> 2633     0  1.55870831  0.89512566  10   sp_23 -0.971485822 -0.16289598
    -#> 26414    0  1.55870831  0.89512566   8   sp_24 -0.971485822 -0.16289598
    -#> 26514    0  1.55870831  0.89512566  18   sp_25 -0.971485822 -0.16289598
    -#> 26614    0  1.55870831  0.89512566   9   sp_26 -0.971485822 -0.16289598
    -#> 2673     0  1.55870831  0.89512566   7   sp_27 -0.971485822 -0.16289598
    -#> 2683     0  1.55870831  0.89512566   7   sp_28 -0.971485822 -0.16289598
    -#> 2693     0  1.55870831  0.89512566  10   sp_29 -0.971485822 -0.16289598
    -#> 2703     1  1.55870831  0.89512566  11   sp_30 -0.971485822 -0.16289598
    -#> 3613     0  0.07050839  0.87813349   1    sp_1 -1.069651815 -0.50832407
    -#> 3623     0  0.07050839  0.87813349  19    sp_2 -1.069651815 -0.50832407
    -#> 3633     0  0.07050839  0.87813349  10    sp_3 -1.069651815 -0.50832407
    -#> 3643     0  0.07050839  0.87813349  13    sp_4 -1.069651815 -0.50832407
    -#> 3653     1  0.07050839  0.87813349  11    sp_5 -1.069651815 -0.50832407
    -#> 3663     0  0.07050839  0.87813349  11    sp_6 -1.069651815 -0.50832407
    -#> 3673     0  0.07050839  0.87813349  20    sp_7 -1.069651815 -0.50832407
    -#> 3683     0  0.07050839  0.87813349   7    sp_8 -1.069651815 -0.50832407
    -#> 3693     0  0.07050839  0.87813349  20    sp_9 -1.069651815 -0.50832407
    -#> 3703     0  0.07050839  0.87813349   9   sp_10 -1.069651815 -0.50832407
    -#> 3713     0  0.07050839  0.87813349   9   sp_11 -1.069651815 -0.50832407
    -#> 3723     0  0.07050839  0.87813349   5   sp_12 -1.069651815 -0.50832407
    -#> 3733     1  0.07050839  0.87813349  14   sp_13 -1.069651815 -0.50832407
    -#> 3743     0  0.07050839  0.87813349  14   sp_14 -1.069651815 -0.50832407
    -#> 3753     0  0.07050839  0.87813349   6   sp_15 -1.069651815 -0.50832407
    -#> 3763     0  0.07050839  0.87813349   1   sp_16 -1.069651815 -0.50832407
    -#> 3773     1  0.07050839  0.87813349  10   sp_17 -1.069651815 -0.50832407
    -#> 3783     1  0.07050839  0.87813349  17   sp_18 -1.069651815 -0.50832407
    -#> 3793     0  0.07050839  0.87813349  17   sp_19 -1.069651815 -0.50832407
    -#> 3803     0  0.07050839  0.87813349   7   sp_20 -1.069651815 -0.50832407
    -#> 3813     0  0.07050839  0.87813349   9   sp_21 -1.069651815 -0.50832407
    -#> 3823     0  0.07050839  0.87813349  20   sp_22 -1.069651815 -0.50832407
    -#> 3833     0  0.07050839  0.87813349   6   sp_23 -1.069651815 -0.50832407
    -#> 3843     0  0.07050839  0.87813349  18   sp_24 -1.069651815 -0.50832407
    -#> 3853     0  0.07050839  0.87813349  17   sp_25 -1.069651815 -0.50832407
    -#> 3863     0  0.07050839  0.87813349   5   sp_26 -1.069651815 -0.50832407
    -#> 3873     1  0.07050839  0.87813349  20   sp_27 -1.069651815 -0.50832407
    -#> 3883     0  0.07050839  0.87813349   3   sp_28 -1.069651815 -0.50832407
    -#> 3893     0  0.07050839  0.87813349  14   sp_29 -1.069651815 -0.50832407
    -#> 3903     0  0.07050839  0.87813349   1   sp_30 -1.069651815 -0.50832407
    -#> 4813     0  0.12928774  0.82158108   2    sp_1 -1.902177022  0.33140152
    -#> 4823     0  0.12928774  0.82158108   4    sp_2 -1.902177022  0.33140152
    -#> 4833     0  0.12928774  0.82158108  10    sp_3 -1.902177022  0.33140152
    -#> 4843     0  0.12928774  0.82158108   1    sp_4 -1.902177022  0.33140152
    -#> 4853     0  0.12928774  0.82158108   5    sp_5 -1.902177022  0.33140152
    -#> 4863     0  0.12928774  0.82158108   8    sp_6 -1.902177022  0.33140152
    -#> 4873     0  0.12928774  0.82158108  13    sp_7 -1.902177022  0.33140152
    -#> 4883     0  0.12928774  0.82158108  18    sp_8 -1.902177022  0.33140152
    -#> 4893     0  0.12928774  0.82158108  10    sp_9 -1.902177022  0.33140152
    -#> 4903     0  0.12928774  0.82158108   6   sp_10 -1.902177022  0.33140152
    -#> 4913     0  0.12928774  0.82158108   7   sp_11 -1.902177022  0.33140152
    -#> 4923     0  0.12928774  0.82158108   9   sp_12 -1.902177022  0.33140152
    -#> 4933     0  0.12928774  0.82158108  16   sp_13 -1.902177022  0.33140152
    -#> 4943     1  0.12928774  0.82158108  17   sp_14 -1.902177022  0.33140152
    -#> 4953     0  0.12928774  0.82158108  13   sp_15 -1.902177022  0.33140152
    -#> 4963     0  0.12928774  0.82158108   8   sp_16 -1.902177022  0.33140152
    -#> 4973     0  0.12928774  0.82158108   7   sp_17 -1.902177022  0.33140152
    -#> 4983     0  0.12928774  0.82158108  20   sp_18 -1.902177022  0.33140152
    -#> 4993     0  0.12928774  0.82158108  18   sp_19 -1.902177022  0.33140152
    -#> 5003     0  0.12928774  0.82158108  17   sp_20 -1.902177022  0.33140152
    -#> 5013     0  0.12928774  0.82158108   1   sp_21 -1.902177022  0.33140152
    -#> 5023     0  0.12928774  0.82158108   2   sp_22 -1.902177022  0.33140152
    -#> 5033     0  0.12928774  0.82158108  17   sp_23 -1.902177022  0.33140152
    -#> 5043     0  0.12928774  0.82158108   2   sp_24 -1.902177022  0.33140152
    -#> 5053     0  0.12928774  0.82158108  13   sp_25 -1.902177022  0.33140152
    -#> 5063     0  0.12928774  0.82158108  17   sp_26 -1.902177022  0.33140152
    -#> 5073     0  0.12928774  0.82158108   3   sp_27 -1.902177022  0.33140152
    -#> 5083     0  0.12928774  0.82158108  18   sp_28 -1.902177022  0.33140152
    -#> 5093     0  0.12928774  0.82158108   2   sp_29 -1.902177022  0.33140152
    -#> 5103     0  0.12928774  0.82158108   5   sp_30 -1.902177022  0.33140152
    -#> 6013     1  1.71506499  0.68864025  12    sp_1  1.053866739  0.57437773
    -#> 6023     0  1.71506499  0.68864025  13    sp_2  1.053866739  0.57437773
    -#> 6033     0  1.71506499  0.68864025  10    sp_3  1.053866739  0.57437773
    -#> 6043     1  1.71506499  0.68864025   6    sp_4  1.053866739  0.57437773
    -#> 6053     0  1.71506499  0.68864025  10    sp_5  1.053866739  0.57437773
    -#> 6063     0  1.71506499  0.68864025  10    sp_6  1.053866739  0.57437773
    -#> 6073     0  1.71506499  0.68864025   6    sp_7  1.053866739  0.57437773
    -#> 6083     0  1.71506499  0.68864025  16    sp_8  1.053866739  0.57437773
    -#> 6093     0  1.71506499  0.68864025  16    sp_9  1.053866739  0.57437773
    -#> 6103     0  1.71506499  0.68864025   3   sp_10  1.053866739  0.57437773
    -#> 6113     0  1.71506499  0.68864025   4   sp_11  1.053866739  0.57437773
    -#> 6123     1  1.71506499  0.68864025   3   sp_12  1.053866739  0.57437773
    -#> 6133     0  1.71506499  0.68864025   3   sp_13  1.053866739  0.57437773
    -#> 6143     0  1.71506499  0.68864025  16   sp_14  1.053866739  0.57437773
    -#> 6153     0  1.71506499  0.68864025   2   sp_15  1.053866739  0.57437773
    -#> 6163     0  1.71506499  0.68864025  15   sp_16  1.053866739  0.57437773
    -#> 6173     0  1.71506499  0.68864025   3   sp_17  1.053866739  0.57437773
    -#> 6183     0  1.71506499  0.68864025   9   sp_18  1.053866739  0.57437773
    -#> 6193     0  1.71506499  0.68864025   7   sp_19  1.053866739  0.57437773
    -#> 6203     0  1.71506499  0.68864025   9   sp_20  1.053866739  0.57437773
    -#> 6213     0  1.71506499  0.68864025   4   sp_21  1.053866739  0.57437773
    -#> 6223     1  1.71506499  0.68864025   2   sp_22  1.053866739  0.57437773
    -#> 6233     0  1.71506499  0.68864025  12   sp_23  1.053866739  0.57437773
    -#> 6243     0  1.71506499  0.68864025   9   sp_24  1.053866739  0.57437773
    -#> 6253     0  1.71506499  0.68864025  11   sp_25  1.053866739  0.57437773
    -#> 6263     0  1.71506499  0.68864025   7   sp_26  1.053866739  0.57437773
    -#> 6273     0  1.71506499  0.68864025  13   sp_27  1.053866739  0.57437773
    -#> 6283     1  1.71506499  0.68864025   5   sp_28  1.053866739  0.57437773
    -#> 6293     0  1.71506499  0.68864025  11   sp_29  1.053866739  0.57437773
    -#> 6303     0  1.71506499  0.68864025   1   sp_30  1.053866739  0.57437773
    -#> 7213     0  0.46091621  0.55391765  19    sp_1 -0.139730368  0.53331433
    -#> 7223     0  0.46091621  0.55391765  12    sp_2 -0.139730368  0.53331433
    -#> 7233     0  0.46091621  0.55391765   2    sp_3 -0.139730368  0.53331433
    -#> 7243     1  0.46091621  0.55391765  17    sp_4 -0.139730368  0.53331433
    -#> 7253     1  0.46091621  0.55391765  12    sp_5 -0.139730368  0.53331433
    -#> 7263     0  0.46091621  0.55391765   3    sp_6 -0.139730368  0.53331433
    -#> 7273     0  0.46091621  0.55391765  18    sp_7 -0.139730368  0.53331433
    -#> 7283     0  0.46091621  0.55391765  15    sp_8 -0.139730368  0.53331433
    -#> 7293     0  0.46091621  0.55391765   3    sp_9 -0.139730368  0.53331433
    -#> 7303     0  0.46091621  0.55391765  19   sp_10 -0.139730368  0.53331433
    -#> 7313     0  0.46091621  0.55391765  18   sp_11 -0.139730368  0.53331433
    -#> 7323     0  0.46091621  0.55391765  17   sp_12 -0.139730368  0.53331433
    -#> 7333     0  0.46091621  0.55391765   6   sp_13 -0.139730368  0.53331433
    -#> 7343     0  0.46091621  0.55391765  10   sp_14 -0.139730368  0.53331433
    -#> 7353     0  0.46091621  0.55391765   8   sp_15 -0.139730368  0.53331433
    -#> 7363     0  0.46091621  0.55391765  10   sp_16 -0.139730368  0.53331433
    -#> 7373     0  0.46091621  0.55391765  13   sp_17 -0.139730368  0.53331433
    -#> 7383     1  0.46091621  0.55391765  20   sp_18 -0.139730368  0.53331433
    -#> 7393     0  0.46091621  0.55391765   6   sp_19 -0.139730368  0.53331433
    -#> 7403     0  0.46091621  0.55391765  20   sp_20 -0.139730368  0.53331433
    -#> 7413     0  0.46091621  0.55391765  20   sp_21 -0.139730368  0.53331433
    -#> 7423     0  0.46091621  0.55391765   9   sp_22 -0.139730368  0.53331433
    -#> 7433     0  0.46091621  0.55391765  16   sp_23 -0.139730368  0.53331433
    -#> 7443     0  0.46091621  0.55391765   8   sp_24 -0.139730368  0.53331433
    -#> 7453     0  0.46091621  0.55391765   7   sp_25 -0.139730368  0.53331433
    -#> 7463     0  0.46091621  0.55391765  10   sp_26 -0.139730368  0.53331433
    -#> 7473     1  0.46091621  0.55391765  17   sp_27 -0.139730368  0.53331433
    -#> 7483     0  0.46091621  0.55391765  18   sp_28 -0.139730368  0.53331433
    -#> 7493     0  0.46091621  0.55391765   8   sp_29 -0.139730368  0.53331433
    -#> 7503     0  0.46091621  0.55391765  19   sp_30 -0.139730368  0.53331433
    -#> 8413     1 -1.26506123 -0.06191171  10    sp_1 -0.380597979  0.24837592
    -#> 8423     0 -1.26506123 -0.06191171  11    sp_2 -0.380597979  0.24837592
    -#> 8433     0 -1.26506123 -0.06191171  17    sp_3 -0.380597979  0.24837592
    -#> 8443     0 -1.26506123 -0.06191171  12    sp_4 -0.380597979  0.24837592
    -#> 8453     0 -1.26506123 -0.06191171   2    sp_5 -0.380597979  0.24837592
    -#> 8463     0 -1.26506123 -0.06191171  19    sp_6 -0.380597979  0.24837592
    -#> 8473     0 -1.26506123 -0.06191171  13    sp_7 -0.380597979  0.24837592
    -#> 8483     0 -1.26506123 -0.06191171  13    sp_8 -0.380597979  0.24837592
    -#> 8493     0 -1.26506123 -0.06191171  19    sp_9 -0.380597979  0.24837592
    -#> 8503     1 -1.26506123 -0.06191171  10   sp_10 -0.380597979  0.24837592
    -#> 8513     0 -1.26506123 -0.06191171  16   sp_11 -0.380597979  0.24837592
    -#> 8523     0 -1.26506123 -0.06191171   5   sp_12 -0.380597979  0.24837592
    -#> 8533     0 -1.26506123 -0.06191171   4   sp_13 -0.380597979  0.24837592
    -#> 8543     0 -1.26506123 -0.06191171  18   sp_14 -0.380597979  0.24837592
    -#> 8553     0 -1.26506123 -0.06191171   1   sp_15 -0.380597979  0.24837592
    -#> 8563     0 -1.26506123 -0.06191171  16   sp_16 -0.380597979  0.24837592
    -#> 8573     0 -1.26506123 -0.06191171  17   sp_17 -0.380597979  0.24837592
    -#> 8583     0 -1.26506123 -0.06191171  12   sp_18 -0.380597979  0.24837592
    -#> 8593     0 -1.26506123 -0.06191171   2   sp_19 -0.380597979  0.24837592
    -#> 8603     0 -1.26506123 -0.06191171  18   sp_20 -0.380597979  0.24837592
    -#> 8613     0 -1.26506123 -0.06191171  12   sp_21 -0.380597979  0.24837592
    -#> 8623     0 -1.26506123 -0.06191171  15   sp_22 -0.380597979  0.24837592
    -#> 8633     0 -1.26506123 -0.06191171  19   sp_23 -0.380597979  0.24837592
    -#> 8643     0 -1.26506123 -0.06191171   6   sp_24 -0.380597979  0.24837592
    -#> 8653     0 -1.26506123 -0.06191171  16   sp_25 -0.380597979  0.24837592
    -#> 8663     0 -1.26506123 -0.06191171  15   sp_26 -0.380597979  0.24837592
    -#> 8673     0 -1.26506123 -0.06191171  19   sp_27 -0.380597979  0.24837592
    -#> 8683     0 -1.26506123 -0.06191171   3   sp_28 -0.380597979  0.24837592
    -#> 8693     0 -1.26506123 -0.06191171  14   sp_29 -0.380597979  0.24837592
    -#> 8703     0 -1.26506123 -0.06191171   1   sp_30 -0.380597979  0.24837592
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    -#> 9623     0 -0.68685285 -0.30596266  16    sp_2  1.476197464 -0.71800879
    -#> 9633     0 -0.68685285 -0.30596266  11    sp_3  1.476197464 -0.71800879
    -#> 9643     1 -0.68685285 -0.30596266   4    sp_4  1.476197464 -0.71800879
    -#> 9653     0 -0.68685285 -0.30596266  12    sp_5  1.476197464 -0.71800879
    -#> 9663     1 -0.68685285 -0.30596266  13    sp_6  1.476197464 -0.71800879
    -#> 9673     0 -0.68685285 -0.30596266  10    sp_7  1.476197464 -0.71800879
    -#> 9683     0 -0.68685285 -0.30596266  10    sp_8  1.476197464 -0.71800879
    -#> 9693     0 -0.68685285 -0.30596266   7    sp_9  1.476197464 -0.71800879
    -#> 9703     0 -0.68685285 -0.30596266  18   sp_10  1.476197464 -0.71800879
    -#> 9713     0 -0.68685285 -0.30596266  17   sp_11  1.476197464 -0.71800879
    -#> 9723     1 -0.68685285 -0.30596266  20   sp_12  1.476197464 -0.71800879
    -#> 9733     1 -0.68685285 -0.30596266   9   sp_13  1.476197464 -0.71800879
    -#> 9743     0 -0.68685285 -0.30596266  11   sp_14  1.476197464 -0.71800879
    -#> 9753     1 -0.68685285 -0.30596266  12   sp_15  1.476197464 -0.71800879
    -#> 9763     0 -0.68685285 -0.30596266   8   sp_16  1.476197464 -0.71800879
    -#> 9773     0 -0.68685285 -0.30596266  18   sp_17  1.476197464 -0.71800879
    -#> 9783     0 -0.68685285 -0.30596266   5   sp_18  1.476197464 -0.71800879
    -#> 9793     0 -0.68685285 -0.30596266  18   sp_19  1.476197464 -0.71800879
    -#> 9803     0 -0.68685285 -0.30596266   6   sp_20  1.476197464 -0.71800879
    -#> 9813     0 -0.68685285 -0.30596266  10   sp_21  1.476197464 -0.71800879
    -#> 9823     0 -0.68685285 -0.30596266   9   sp_22  1.476197464 -0.71800879
    -#> 9833     1 -0.68685285 -0.30596266  11   sp_23  1.476197464 -0.71800879
    -#> 9843     0 -0.68685285 -0.30596266   6   sp_24  1.476197464 -0.71800879
    -#> 9853     0 -0.68685285 -0.30596266  12   sp_25  1.476197464 -0.71800879
    -#> 9863     0 -0.68685285 -0.30596266  19   sp_26  1.476197464 -0.71800879
    -#> 9873     0 -0.68685285 -0.30596266   4   sp_27  1.476197464 -0.71800879
    -#> 9883     0 -0.68685285 -0.30596266   3   sp_28  1.476197464 -0.71800879
    -#> 9893     0 -0.68685285 -0.30596266  14   sp_29  1.476197464 -0.71800879
    -#> 9903     0 -0.68685285 -0.30596266   8   sp_30  1.476197464 -0.71800879
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    -#> 10833    1 -0.44566197 -0.38047100  10    sp_3  0.610727338 -1.32709228
    -#> 10843    0 -0.44566197 -0.38047100  16    sp_4  0.610727338 -1.32709228
    -#> 10853    0 -0.44566197 -0.38047100  16    sp_5  0.610727338 -1.32709228
    -#> 10863    1 -0.44566197 -0.38047100  20    sp_6  0.610727338 -1.32709228
    -#> 10873    1 -0.44566197 -0.38047100  10    sp_7  0.610727338 -1.32709228
    -#> 10883    0 -0.44566197 -0.38047100   6    sp_8  0.610727338 -1.32709228
    -#> 10893    0 -0.44566197 -0.38047100  19    sp_9  0.610727338 -1.32709228
    -#> 10903    0 -0.44566197 -0.38047100   4   sp_10  0.610727338 -1.32709228
    -#> 10913    0 -0.44566197 -0.38047100   9   sp_11  0.610727338 -1.32709228
    -#> 10923    0 -0.44566197 -0.38047100   4   sp_12  0.610727338 -1.32709228
    -#> 10933    0 -0.44566197 -0.38047100  15   sp_13  0.610727338 -1.32709228
    -#> 10943    1 -0.44566197 -0.38047100  20   sp_14  0.610727338 -1.32709228
    -#> 10953    1 -0.44566197 -0.38047100  17   sp_15  0.610727338 -1.32709228
    -#> 10963    0 -0.44566197 -0.38047100   7   sp_16  0.610727338 -1.32709228
    -#> 10973    1 -0.44566197 -0.38047100  15   sp_17  0.610727338 -1.32709228
    -#> 10983    0 -0.44566197 -0.38047100   5   sp_18  0.610727338 -1.32709228
    -#> 10993    1 -0.44566197 -0.38047100  14   sp_19  0.610727338 -1.32709228
    -#> 11003    0 -0.44566197 -0.38047100  15   sp_20  0.610727338 -1.32709228
    -#> 11013    0 -0.44566197 -0.38047100  15   sp_21  0.610727338 -1.32709228
    -#> 11023    1 -0.44566197 -0.38047100  16   sp_22  0.610727338 -1.32709228
    -#> 11033    0 -0.44566197 -0.38047100  19   sp_23  0.610727338 -1.32709228
    -#> 11043    1 -0.44566197 -0.38047100   8   sp_24  0.610727338 -1.32709228
    -#> 11053    0 -0.44566197 -0.38047100   5   sp_25  0.610727338 -1.32709228
    -#> 11063    0 -0.44566197 -0.38047100   7   sp_26  0.610727338 -1.32709228
    -#> 11073    1 -0.44566197 -0.38047100  20   sp_27  0.610727338 -1.32709228
    -#> 11083    0 -0.44566197 -0.38047100  16   sp_28  0.610727338 -1.32709228
    -#> 11093    0 -0.44566197 -0.38047100  16   sp_29  0.610727338 -1.32709228
    -#> 11103    0 -0.44566197 -0.38047100   9   sp_30  0.610727338 -1.32709228
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    -#> 12033    0  1.22408180 -0.69470698  19    sp_3  1.556856957  1.59533274
    -#> 12043    1  1.22408180 -0.69470698  10    sp_4  1.556856957  1.59533274
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    -#> 12083    0  1.22408180 -0.69470698  14    sp_8  1.556856957  1.59533274
    -#> 12093    0  1.22408180 -0.69470698  14    sp_9  1.556856957  1.59533274
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    -#> 12115    0  1.22408180 -0.69470698  18   sp_11  1.556856957  1.59533274
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    -#> 12133    0  1.22408180 -0.69470698   8   sp_13  1.556856957  1.59533274
    -#> 12143    0  1.22408180 -0.69470698  11   sp_14  1.556856957  1.59533274
    -#> 12153    0  1.22408180 -0.69470698   7   sp_15  1.556856957  1.59533274
    -#> 12163    0  1.22408180 -0.69470698  19   sp_16  1.556856957  1.59533274
    -#> 12173    0  1.22408180 -0.69470698   8   sp_17  1.556856957  1.59533274
    -#> 12183    1  1.22408180 -0.69470698  10   sp_18  1.556856957  1.59533274
    -#> 12193    0  1.22408180 -0.69470698   5   sp_19  1.556856957  1.59533274
    -#> 12203    0  1.22408180 -0.69470698  17   sp_20  1.556856957  1.59533274
    -#> 12215    0  1.22408180 -0.69470698   6   sp_21  1.556856957  1.59533274
    -#> 12223    0  1.22408180 -0.69470698   8   sp_22  1.556856957  1.59533274
    -#> 12233    1  1.22408180 -0.69470698  20   sp_23  1.556856957  1.59533274
    -#> 12243    0  1.22408180 -0.69470698   6   sp_24  1.556856957  1.59533274
    -#> 12253    0  1.22408180 -0.69470698  15   sp_25  1.556856957  1.59533274
    -#> 12263    0  1.22408180 -0.69470698  17   sp_26  1.556856957  1.59533274
    -#> 12273    0  1.22408180 -0.69470698   3   sp_27  1.556856957  1.59533274
    -#> 12283    0  1.22408180 -0.69470698  15   sp_28  1.556856957  1.59533274
    -#> 12293    1  1.22408180 -0.69470698  20   sp_29  1.556856957  1.59533274
    -#> 12303    0  1.22408180 -0.69470698   1   sp_30  1.556856957  1.59533274
    -#> 13215    0  0.35981383 -0.20791728   5    sp_1  2.279082282  0.43278793
    -#> 13223    1  0.35981383 -0.20791728  11    sp_2  2.279082282  0.43278793
    -#> 13233    0  0.35981383 -0.20791728  15    sp_3  2.279082282  0.43278793
    -#> 13243    0  0.35981383 -0.20791728  20    sp_4  2.279082282  0.43278793
    -#> 13253    1  0.35981383 -0.20791728   2    sp_5  2.279082282  0.43278793
    -#> 13263    0  0.35981383 -0.20791728  16    sp_6  2.279082282  0.43278793
    -#> 13273    0  0.35981383 -0.20791728  19    sp_7  2.279082282  0.43278793
    -#> 13283    0  0.35981383 -0.20791728  10    sp_8  2.279082282  0.43278793
    -#> 13293    0  0.35981383 -0.20791728  19    sp_9  2.279082282  0.43278793
    -#> 13303    1  0.35981383 -0.20791728  17   sp_10  2.279082282  0.43278793
    -#> 13315    0  0.35981383 -0.20791728   7   sp_11  2.279082282  0.43278793
    -#> 13323    1  0.35981383 -0.20791728   6   sp_12  2.279082282  0.43278793
    -#> 13333    0  0.35981383 -0.20791728  12   sp_13  2.279082282  0.43278793
    -#> 13343    1  0.35981383 -0.20791728   4   sp_14  2.279082282  0.43278793
    -#> 13353    0  0.35981383 -0.20791728  19   sp_15  2.279082282  0.43278793
    -#> 13363    1  0.35981383 -0.20791728   2   sp_16  2.279082282  0.43278793
    -#> 13373    0  0.35981383 -0.20791728   4   sp_17  2.279082282  0.43278793
    -#> 13383    0  0.35981383 -0.20791728  11   sp_18  2.279082282  0.43278793
    -#> 13393    0  0.35981383 -0.20791728   1   sp_19  2.279082282  0.43278793
    -#> 13403    0  0.35981383 -0.20791728  19   sp_20  2.279082282  0.43278793
    -#> 13415    1  0.35981383 -0.20791728  18   sp_21  2.279082282  0.43278793
    -#> 13423    0  0.35981383 -0.20791728  16   sp_22  2.279082282  0.43278793
    -#> 13433    1  0.35981383 -0.20791728   3   sp_23  2.279082282  0.43278793
    -#> 13443    0  0.35981383 -0.20791728   1   sp_24  2.279082282  0.43278793
    -#> 13453    1  0.35981383 -0.20791728   2   sp_25  2.279082282  0.43278793
    -#> 13463    1  0.35981383 -0.20791728   2   sp_26  2.279082282  0.43278793
    -#> 13473    0  0.35981383 -0.20791728   8   sp_27  2.279082282  0.43278793
    -#> 13483    1  0.35981383 -0.20791728  20   sp_28  2.279082282  0.43278793
    -#> 13493    0  0.35981383 -0.20791728  14   sp_29  2.279082282  0.43278793
    -#> 13503    0  0.35981383 -0.20791728  13   sp_30  2.279082282  0.43278793
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    -#> 14423    0  0.40077145 -1.26539635   8    sp_2 -0.471806570 -1.08949913
    -#> 14433    0  0.40077145 -1.26539635   3    sp_3 -0.471806570 -1.08949913
    -#> 14443    0  0.40077145 -1.26539635  16    sp_4 -0.471806570 -1.08949913
    -#> 14453    0  0.40077145 -1.26539635   1    sp_5 -0.471806570 -1.08949913
    -#> 14463    0  0.40077145 -1.26539635  12    sp_6 -0.471806570 -1.08949913
    -#> 14473    1  0.40077145 -1.26539635  18    sp_7 -0.471806570 -1.08949913
    -#> 14483    0  0.40077145 -1.26539635  14    sp_8 -0.471806570 -1.08949913
    -#> 14493    0  0.40077145 -1.26539635   8    sp_9 -0.471806570 -1.08949913
    -#> 14503    0  0.40077145 -1.26539635   5   sp_10 -0.471806570 -1.08949913
    -#> 14515    1  0.40077145 -1.26539635  17   sp_11 -0.471806570 -1.08949913
    -#> 14523    1  0.40077145 -1.26539635  11   sp_12 -0.471806570 -1.08949913
    -#> 14533    1  0.40077145 -1.26539635   4   sp_13 -0.471806570 -1.08949913
    -#> 14543    1  0.40077145 -1.26539635  13   sp_14 -0.471806570 -1.08949913
    -#> 14553    1  0.40077145 -1.26539635   8   sp_15 -0.471806570 -1.08949913
    -#> 14563    0  0.40077145 -1.26539635  15   sp_16 -0.471806570 -1.08949913
    -#> 14573    0  0.40077145 -1.26539635   4   sp_17 -0.471806570 -1.08949913
    -#> 14583    0  0.40077145 -1.26539635  13   sp_18 -0.471806570 -1.08949913
    -#> 14593    1  0.40077145 -1.26539635   3   sp_19 -0.471806570 -1.08949913
    -#> 14603    0  0.40077145 -1.26539635   7   sp_20 -0.471806570 -1.08949913
    -#> 14615    0  0.40077145 -1.26539635   1   sp_21 -0.471806570 -1.08949913
    -#> 14623    0  0.40077145 -1.26539635   6   sp_22 -0.471806570 -1.08949913
    -#> 14633    1  0.40077145 -1.26539635  13   sp_23 -0.471806570 -1.08949913
    -#> 14643    1  0.40077145 -1.26539635  17   sp_24 -0.471806570 -1.08949913
    -#> 14653    0  0.40077145 -1.26539635   6   sp_25 -0.471806570 -1.08949913
    -#> 14663    1  0.40077145 -1.26539635  10   sp_26 -0.471806570 -1.08949913
    -#> 14673    0  0.40077145 -1.26539635  13   sp_27 -0.471806570 -1.08949913
    -#> 14683    0  0.40077145 -1.26539635   6   sp_28 -0.471806570 -1.08949913
    -#> 14693    1  0.40077145 -1.26539635   9   sp_29 -0.471806570 -1.08949913
    -#> 14703    0  0.40077145 -1.26539635   8   sp_30 -0.471806570 -1.08949913
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    -#> 15623    0  0.11068272  2.16895597  16    sp_2  0.212686484 -1.31798554
    -#> 15633    0  0.11068272  2.16895597   2    sp_3  0.212686484 -1.31798554
    -#> 15643    0  0.11068272  2.16895597   8    sp_4  0.212686484 -1.31798554
    -#> 15653    0  0.11068272  2.16895597  14    sp_5  0.212686484 -1.31798554
    -#> 15663    0  0.11068272  2.16895597  12    sp_6  0.212686484 -1.31798554
    -#> 15673    0  0.11068272  2.16895597   8    sp_7  0.212686484 -1.31798554
    -#> 15683    0  0.11068272  2.16895597   9    sp_8  0.212686484 -1.31798554
    -#> 15693    0  0.11068272  2.16895597   8    sp_9  0.212686484 -1.31798554
    -#> 15703    0  0.11068272  2.16895597   9   sp_10  0.212686484 -1.31798554
    -#> 15713    0  0.11068272  2.16895597  20   sp_11  0.212686484 -1.31798554
    -#> 15723    0  0.11068272  2.16895597   1   sp_12  0.212686484 -1.31798554
    -#> 15733    0  0.11068272  2.16895597   3   sp_13  0.212686484 -1.31798554
    -#> 15743    0  0.11068272  2.16895597   8   sp_14  0.212686484 -1.31798554
    -#> 15753    0  0.11068272  2.16895597   2   sp_15  0.212686484 -1.31798554
    -#> 15763    0  0.11068272  2.16895597   1   sp_16  0.212686484 -1.31798554
    -#> 15773    0  0.11068272  2.16895597   9   sp_17  0.212686484 -1.31798554
    -#> 15783    1  0.11068272  2.16895597   7   sp_18  0.212686484 -1.31798554
    -#> 15793    0  0.11068272  2.16895597  13   sp_19  0.212686484 -1.31798554
    -#> 15803    0  0.11068272  2.16895597  20   sp_20  0.212686484 -1.31798554
    -#> 15813    0  0.11068272  2.16895597  14   sp_21  0.212686484 -1.31798554
    -#> 15823    0  0.11068272  2.16895597  16   sp_22  0.212686484 -1.31798554
    -#> 15833    1  0.11068272  2.16895597   7   sp_23  0.212686484 -1.31798554
    -#> 15843    0  0.11068272  2.16895597   4   sp_24  0.212686484 -1.31798554
    -#> 15853    0  0.11068272  2.16895597  13   sp_25  0.212686484 -1.31798554
    -#> 15863    0  0.11068272  2.16895597  12   sp_26  0.212686484 -1.31798554
    -#> 15873    0  0.11068272  2.16895597  13   sp_27  0.212686484 -1.31798554
    -#> 15883    0  0.11068272  2.16895597  20   sp_28  0.212686484 -1.31798554
    -#> 15893    0  0.11068272  2.16895597  10   sp_29  0.212686484 -1.31798554
    -#> 15903    0  0.11068272  2.16895597   9   sp_30  0.212686484 -1.31798554
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    -#> 16823    0 -0.55584113  1.20796200   8    sp_2  2.666263607 -0.34159485
    -#> 16833    0 -0.55584113  1.20796200   7    sp_3  2.666263607 -0.34159485
    -#> 16843    1 -0.55584113  1.20796200  15    sp_4  2.666263607 -0.34159485
    -#> 16853    0 -0.55584113  1.20796200  19    sp_5  2.666263607 -0.34159485
    -#> 16863    0 -0.55584113  1.20796200  17    sp_6  2.666263607 -0.34159485
    -#> 16873    0 -0.55584113  1.20796200  11    sp_7  2.666263607 -0.34159485
    -#> 16883    0 -0.55584113  1.20796200   7    sp_8  2.666263607 -0.34159485
    -#> 16893    0 -0.55584113  1.20796200  19    sp_9  2.666263607 -0.34159485
    -#> 16903    0 -0.55584113  1.20796200   3   sp_10  2.666263607 -0.34159485
    -#> 16913    0 -0.55584113  1.20796200   6   sp_11  2.666263607 -0.34159485
    -#> 16923    1 -0.55584113  1.20796200   7   sp_12  2.666263607 -0.34159485
    -#> 16933    0 -0.55584113  1.20796200   4   sp_13  2.666263607 -0.34159485
    -#> 16943    1 -0.55584113  1.20796200  10   sp_14  2.666263607 -0.34159485
    -#> 16953    0 -0.55584113  1.20796200  17   sp_15  2.666263607 -0.34159485
    -#> 16963    0 -0.55584113  1.20796200  16   sp_16  2.666263607 -0.34159485
    -#> 16973    0 -0.55584113  1.20796200   8   sp_17  2.666263607 -0.34159485
    -#> 16983    0 -0.55584113  1.20796200   3   sp_18  2.666263607 -0.34159485
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    -#> 17003    0 -0.55584113  1.20796200  14   sp_20  2.666263607 -0.34159485
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    -#> 17033    0 -0.55584113  1.20796200   6   sp_23  2.666263607 -0.34159485
    -#> 17043    0 -0.55584113  1.20796200   9   sp_24  2.666263607 -0.34159485
    -#> 17053    0 -0.55584113  1.20796200   1   sp_25  2.666263607 -0.34159485
    -#> 17063    0 -0.55584113  1.20796200  20   sp_26  2.666263607 -0.34159485
    -#> 17073    0 -0.55584113  1.20796200  14   sp_27  2.666263607 -0.34159485
    -#> 17083    0 -0.55584113  1.20796200  19   sp_28  2.666263607 -0.34159485
    -#> 17093    0 -0.55584113  1.20796200   5   sp_29  2.666263607 -0.34159485
    -#> 17103    0 -0.55584113  1.20796200   2   sp_30  2.666263607 -0.34159485
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    -#> 18033    0  1.78691314 -1.12310858   4    sp_3  0.902094706 -0.29755526
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    -#> 18203    1  1.78691314 -1.12310858  15   sp_20  0.902094706 -0.29755526
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    -#> 18273    0  1.78691314 -1.12310858  15   sp_27  0.902094706 -0.29755526
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    -#> 18303    0  1.78691314 -1.12310858  15   sp_30  0.902094706 -0.29755526
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    -#> 19413    0  0.49785048 -0.40288484  13   sp_21  2.186407733  0.08851264
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    -#> 19443    0  0.49785048 -0.40288484  10   sp_24  2.186407733  0.08851264
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    -#> 19473    0  0.49785048 -0.40288484  10   sp_27  2.186407733  0.08851264
    -#> 19483    0  0.49785048 -0.40288484   7   sp_28  2.186407733  0.08851264
    -#> 19493    0  0.49785048 -0.40288484   7   sp_29  2.186407733  0.08851264
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    -#> 20643    0 -1.96661716 -0.46665535   9   sp_24  0.595320049  1.09064461
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    -#> 27803    0 -0.72889123  1.36860228   3   sp_20 -0.403005062 -0.85646918
    -#> 27813    0 -0.72889123  1.36860228   7   sp_21 -0.403005062 -0.85646918
    -#> 27823    0 -0.72889123  1.36860228  13   sp_22 -0.403005062 -0.85646918
    -#> 27833    0 -0.72889123  1.36860228  14   sp_23 -0.403005062 -0.85646918
    -#> 27843    0 -0.72889123  1.36860228   2   sp_24 -0.403005062 -0.85646918
    -#> 27853    0 -0.72889123  1.36860228   9   sp_25 -0.403005062 -0.85646918
    -#> 27863    0 -0.72889123  1.36860228  15   sp_26 -0.403005062 -0.85646918
    -#> 27873    0 -0.72889123  1.36860228   1   sp_27 -0.403005062 -0.85646918
    -#> 27883    0 -0.72889123  1.36860228  10   sp_28 -0.403005062 -0.85646918
    -#> 27893    0 -0.72889123  1.36860228   9   sp_29 -0.403005062 -0.85646918
    -#> 27903    0 -0.72889123  1.36860228   9   sp_30 -0.403005062 -0.85646918
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    -#> 28823    0 -0.62503927 -0.22577099  18    sp_2  1.324704070  1.10392464
    -#> 28833    0 -0.62503927 -0.22577099  12    sp_3  1.324704070  1.10392464
    -#> 28843    0 -0.62503927 -0.22577099   6    sp_4  1.324704070  1.10392464
    -#> 28853    0 -0.62503927 -0.22577099   7    sp_5  1.324704070  1.10392464
    -#> 28863    0 -0.62503927 -0.22577099  16    sp_6  1.324704070  1.10392464
    -#> 28873    0 -0.62503927 -0.22577099  16    sp_7  1.324704070  1.10392464
    -#> 28883    0 -0.62503927 -0.22577099   2    sp_8  1.324704070  1.10392464
    -#> 28893    0 -0.62503927 -0.22577099   2    sp_9  1.324704070  1.10392464
    -#> 28903    0 -0.62503927 -0.22577099  14   sp_10  1.324704070  1.10392464
    -#> 28913    0 -0.62503927 -0.22577099   7   sp_11  1.324704070  1.10392464
    -#> 28923    0 -0.62503927 -0.22577099   6   sp_12  1.324704070  1.10392464
    -#> 28933    0 -0.62503927 -0.22577099   4   sp_13  1.324704070  1.10392464
    -#> 28943    0 -0.62503927 -0.22577099   3   sp_14  1.324704070  1.10392464
    -#> 28953    0 -0.62503927 -0.22577099  14   sp_15  1.324704070  1.10392464
    -#> 28963    0 -0.62503927 -0.22577099  19   sp_16  1.324704070  1.10392464
    -#> 28973    0 -0.62503927 -0.22577099  14   sp_17  1.324704070  1.10392464
    -#> 28983    0 -0.62503927 -0.22577099  16   sp_18  1.324704070  1.10392464
    -#> 28993    0 -0.62503927 -0.22577099  10   sp_19  1.324704070  1.10392464
    -#> 29003    0 -0.62503927 -0.22577099  12   sp_20  1.324704070  1.10392464
    -#> 29013    0 -0.62503927 -0.22577099  18   sp_21  1.324704070  1.10392464
    -#> 29023    0 -0.62503927 -0.22577099   3   sp_22  1.324704070  1.10392464
    -#> 29033    0 -0.62503927 -0.22577099   1   sp_23  1.324704070  1.10392464
    -#> 29043    0 -0.62503927 -0.22577099  12   sp_24  1.324704070  1.10392464
    -#> 29053    0 -0.62503927 -0.22577099  17   sp_25  1.324704070  1.10392464
    -#> 29063    0 -0.62503927 -0.22577099   1   sp_26  1.324704070  1.10392464
    -#> 29073    0 -0.62503927 -0.22577099   4   sp_27  1.324704070  1.10392464
    -#> 29083    0 -0.62503927 -0.22577099  19   sp_28  1.324704070  1.10392464
    -#> 29093    0 -0.62503927 -0.22577099  13   sp_29  1.324704070  1.10392464
    -#> 29103    0 -0.62503927 -0.22577099  18   sp_30  1.324704070  1.10392464
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    -#> 30023    0 -1.68669331  1.51647060  13    sp_2 -0.531131309  0.78017265
    -#> 30033    0 -1.68669331  1.51647060  14    sp_3 -0.531131309  0.78017265
    -#> 30043    0 -1.68669331  1.51647060  18    sp_4 -0.531131309  0.78017265
    -#> 30053    0 -1.68669331  1.51647060  12    sp_5 -0.531131309  0.78017265
    -#> 30063    0 -1.68669331  1.51647060  18    sp_6 -0.531131309  0.78017265
    -#> 30073    0 -1.68669331  1.51647060   7    sp_7 -0.531131309  0.78017265
    -#> 30083    0 -1.68669331  1.51647060   4    sp_8 -0.531131309  0.78017265
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    -#> 30103    0 -1.68669331  1.51647060   3   sp_10 -0.531131309  0.78017265
    -#> 30113    0 -1.68669331  1.51647060  11   sp_11 -0.531131309  0.78017265
    -#> 30123    0 -1.68669331  1.51647060  19   sp_12 -0.531131309  0.78017265
    -#> 30133    0 -1.68669331  1.51647060  16   sp_13 -0.531131309  0.78017265
    -#> 30143    0 -1.68669331  1.51647060  15   sp_14 -0.531131309  0.78017265
    -#> 30153    0 -1.68669331  1.51647060  11   sp_15 -0.531131309  0.78017265
    -#> 30163    0 -1.68669331  1.51647060   6   sp_16 -0.531131309  0.78017265
    -#> 30173    0 -1.68669331  1.51647060   5   sp_17 -0.531131309  0.78017265
    -#> 30183    0 -1.68669331  1.51647060   2   sp_18 -0.531131309  0.78017265
    -#> 30193    0 -1.68669331  1.51647060  17   sp_19 -0.531131309  0.78017265
    -#> 30203    0 -1.68669331  1.51647060   5   sp_20 -0.531131309  0.78017265
    -#> 30213    0 -1.68669331  1.51647060  19   sp_21 -0.531131309  0.78017265
    -#> 30223    0 -1.68669331  1.51647060  15   sp_22 -0.531131309  0.78017265
    -#> 30233    0 -1.68669331  1.51647060  19   sp_23 -0.531131309  0.78017265
    -#> 30243    0 -1.68669331  1.51647060   3   sp_24 -0.531131309  0.78017265
    -#> 30253    0 -1.68669331  1.51647060  15   sp_25 -0.531131309  0.78017265
    -#> 30263    0 -1.68669331  1.51647060   3   sp_26 -0.531131309  0.78017265
    -#> 30273    1 -1.68669331  1.51647060   2   sp_27 -0.531131309  0.78017265
    -#> 30283    0 -1.68669331  1.51647060   5   sp_28 -0.531131309  0.78017265
    -#> 30293    0 -1.68669331  1.51647060   5   sp_29 -0.531131309  0.78017265
    -#> 30303    0 -1.68669331  1.51647060   7   sp_30 -0.531131309  0.78017265
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    -#> 31223    1  0.83778704 -1.54875280  16    sp_2  0.167775141 -1.40425215
    -#> 31233    0  0.83778704 -1.54875280   8    sp_3  0.167775141 -1.40425215
    -#> 31243    0  0.83778704 -1.54875280  18    sp_4  0.167775141 -1.40425215
    -#> 31253    1  0.83778704 -1.54875280  19    sp_5  0.167775141 -1.40425215
    -#> 31263    1  0.83778704 -1.54875280   9    sp_6  0.167775141 -1.40425215
    -#> 31273    1  0.83778704 -1.54875280  19    sp_7  0.167775141 -1.40425215
    -#> 31283    0  0.83778704 -1.54875280  14    sp_8  0.167775141 -1.40425215
    -#> 31293    1  0.83778704 -1.54875280  19    sp_9  0.167775141 -1.40425215
    -#> 31303    0  0.83778704 -1.54875280   5   sp_10  0.167775141 -1.40425215
    -#> 31313    1  0.83778704 -1.54875280  13   sp_11  0.167775141 -1.40425215
    -#> 31323    0  0.83778704 -1.54875280  16   sp_12  0.167775141 -1.40425215
    -#> 31333    0  0.83778704 -1.54875280   7   sp_13  0.167775141 -1.40425215
    -#> 31343    1  0.83778704 -1.54875280   8   sp_14  0.167775141 -1.40425215
    -#> 31353    1  0.83778704 -1.54875280  16   sp_15  0.167775141 -1.40425215
    -#> 31363    0  0.83778704 -1.54875280  15   sp_16  0.167775141 -1.40425215
    -#> 31373    1  0.83778704 -1.54875280  20   sp_17  0.167775141 -1.40425215
    -#> 31383    0  0.83778704 -1.54875280   3   sp_18  0.167775141 -1.40425215
    -#> 31393    1  0.83778704 -1.54875280  17   sp_19  0.167775141 -1.40425215
    -#> 31403    0  0.83778704 -1.54875280   7   sp_20  0.167775141 -1.40425215
    -#> 31413    0  0.83778704 -1.54875280  13   sp_21  0.167775141 -1.40425215
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    -#> 31433    0  0.83778704 -1.54875280  13   sp_23  0.167775141 -1.40425215
    -#> 31443    0  0.83778704 -1.54875280  14   sp_24  0.167775141 -1.40425215
    -#> 31453    1  0.83778704 -1.54875280   4   sp_25  0.167775141 -1.40425215
    -#> 31463    0  0.83778704 -1.54875280  16   sp_26  0.167775141 -1.40425215
    -#> 31473    0  0.83778704 -1.54875280   9   sp_27  0.167775141 -1.40425215
    -#> 31483    0  0.83778704 -1.54875280  16   sp_28  0.167775141 -1.40425215
    -#> 31493    0  0.83778704 -1.54875280   9   sp_29  0.167775141 -1.40425215
    -#> 31503    1  0.83778704 -1.54875280   5   sp_30  0.167775141 -1.40425215
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    -#> 32633    0  0.15337312  0.58461375  14   sp_23 -1.253938223 -0.88156275
    -#> 32643    0  0.15337312  0.58461375  19   sp_24 -1.253938223 -0.88156275
    -#> 32653    0  0.15337312  0.58461375  19   sp_25 -1.253938223 -0.88156275
    -#> 32663    0  0.15337312  0.58461375  17   sp_26 -1.253938223 -0.88156275
    -#> 32673    0  0.15337312  0.58461375   9   sp_27 -1.253938223 -0.88156275
    -#> 32683    0  0.15337312  0.58461375  13   sp_28 -1.253938223 -0.88156275
    -#> 32693    0  0.15337312  0.58461375  14   sp_29 -1.253938223 -0.88156275
    -#> 32703    0  0.15337312  0.58461375   6   sp_30 -1.253938223 -0.88156275
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    -#> 33633    0 -1.13813694  0.12385424   8    sp_3  1.374599253 -0.17239352
    -#> 33643    0 -1.13813694  0.12385424   5    sp_4  1.374599253 -0.17239352
    -#> 33653    0 -1.13813694  0.12385424  10    sp_5  1.374599253 -0.17239352
    -#> 33663    0 -1.13813694  0.12385424   9    sp_6  1.374599253 -0.17239352
    -#> 33673    0 -1.13813694  0.12385424   5    sp_7  1.374599253 -0.17239352
    -#> 33683    0 -1.13813694  0.12385424  14    sp_8  1.374599253 -0.17239352
    -#> 33693    0 -1.13813694  0.12385424  19    sp_9  1.374599253 -0.17239352
    -#> 33703    0 -1.13813694  0.12385424   1   sp_10  1.374599253 -0.17239352
    -#> 33713    0 -1.13813694  0.12385424  16   sp_11  1.374599253 -0.17239352
    -#> 33723    0 -1.13813694  0.12385424   6   sp_12  1.374599253 -0.17239352
    -#> 33733    1 -1.13813694  0.12385424  20   sp_13  1.374599253 -0.17239352
    -#> 33743    0 -1.13813694  0.12385424   8   sp_14  1.374599253 -0.17239352
    -#> 33753    0 -1.13813694  0.12385424  14   sp_15  1.374599253 -0.17239352
    -#> 33763    0 -1.13813694  0.12385424  14   sp_16  1.374599253 -0.17239352
    -#> 33773    0 -1.13813694  0.12385424   8   sp_17  1.374599253 -0.17239352
    -#> 33783    0 -1.13813694  0.12385424  11   sp_18  1.374599253 -0.17239352
    -#> 33793    0 -1.13813694  0.12385424  20   sp_19  1.374599253 -0.17239352
    -#> 33803    0 -1.13813694  0.12385424   5   sp_20  1.374599253 -0.17239352
    -#> 33813    0 -1.13813694  0.12385424  14   sp_21  1.374599253 -0.17239352
    -#> 33823    0 -1.13813694  0.12385424   1   sp_22  1.374599253 -0.17239352
    -#> 33833    0 -1.13813694  0.12385424   1   sp_23  1.374599253 -0.17239352
    -#> 33843    0 -1.13813694  0.12385424   5   sp_24  1.374599253 -0.17239352
    -#> 33853    0 -1.13813694  0.12385424   3   sp_25  1.374599253 -0.17239352
    -#> 33863    0 -1.13813694  0.12385424   4   sp_26  1.374599253 -0.17239352
    -#> 33873    0 -1.13813694  0.12385424   3   sp_27  1.374599253 -0.17239352
    -#> 33883    1 -1.13813694  0.12385424  14   sp_28  1.374599253 -0.17239352
    -#> 33893    0 -1.13813694  0.12385424  18   sp_29  1.374599253 -0.17239352
    -#> 33903    0 -1.13813694  0.12385424  10   sp_30  1.374599253 -0.17239352
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    -#> 34833    0  1.25381492  0.21594157   3    sp_3  1.307855946 -0.88732783
    -#> 34843    1  1.25381492  0.21594157  12    sp_4  1.307855946 -0.88732783
    -#> 34853    1  1.25381492  0.21594157   5    sp_5  1.307855946 -0.88732783
    -#> 34863    1  1.25381492  0.21594157  13    sp_6  1.307855946 -0.88732783
    -#> 34873    1  1.25381492  0.21594157   8    sp_7  1.307855946 -0.88732783
    -#> 34883    1  1.25381492  0.21594157  17    sp_8  1.307855946 -0.88732783
    -#> 34893    1  1.25381492  0.21594157   5    sp_9  1.307855946 -0.88732783
    -#> 34903    0  1.25381492  0.21594157  19   sp_10  1.307855946 -0.88732783
    -#> 34913    1  1.25381492  0.21594157   6   sp_11  1.307855946 -0.88732783
    -#> 34923    1  1.25381492  0.21594157   2   sp_12  1.307855946 -0.88732783
    -#> 34933    1  1.25381492  0.21594157  17   sp_13  1.307855946 -0.88732783
    -#> 34943    1  1.25381492  0.21594157  17   sp_14  1.307855946 -0.88732783
    -#> 34953    1  1.25381492  0.21594157   8   sp_15  1.307855946 -0.88732783
    -#> 34963    0  1.25381492  0.21594157  19   sp_16  1.307855946 -0.88732783
    -#> 34973    1  1.25381492  0.21594157  18   sp_17  1.307855946 -0.88732783
    -#> 34983    0  1.25381492  0.21594157  19   sp_18  1.307855946 -0.88732783
    -#> 34993    1  1.25381492  0.21594157   5   sp_19  1.307855946 -0.88732783
    -#> 35003    0  1.25381492  0.21594157  14   sp_20  1.307855946 -0.88732783
    -#> 35013    1  1.25381492  0.21594157  12   sp_21  1.307855946 -0.88732783
    -#> 35023    0  1.25381492  0.21594157   1   sp_22  1.307855946 -0.88732783
    -#> 35033    1  1.25381492  0.21594157  16   sp_23  1.307855946 -0.88732783
    -#> 35043    0  1.25381492  0.21594157  18   sp_24  1.307855946 -0.88732783
    -#> 35053    1  1.25381492  0.21594157  20   sp_25  1.307855946 -0.88732783
    -#> 35063    1  1.25381492  0.21594157   7   sp_26  1.307855946 -0.88732783
    -#> 35073    1  1.25381492  0.21594157   5   sp_27  1.307855946 -0.88732783
    -#> 35083    0  1.25381492  0.21594157  10   sp_28  1.307855946 -0.88732783
    -#> 35093    1  1.25381492  0.21594157   4   sp_29  1.307855946 -0.88732783
    -#> 35103    1  1.25381492  0.21594157   8   sp_30  1.307855946 -0.88732783
    -#>       ff_n_unit ff_n_rep ff_Q ff_unit ff_rep_index1 ff_rep_index2 ff_rep_index3
    -#> 1           900        4    1       1             1           901          1801
    -#> 2           -99        4    0       2             2           902          1802
    -#> 3           -99        4    0       3             3           903          1803
    -#> 4           -99        4    0       4             4           904          1804
    -#> 5           -99        4    1       5             5           905          1805
    -#> 6           -99        4    0       6             6           906          1806
    -#> 7           -99        4    0       7             7           907          1807
    -#> 8           -99        4    0       8             8           908          1808
    -#> 9           -99        4    0       9             9           909          1809
    -#> 10          -99        4    0      10            10           910          1810
    -#> 11          -99        4    1      11            11           911          1811
    -#> 12          -99        4    0      12            12           912          1812
    -#> 13          -99        4    1      13            13           913          1813
    -#> 14          -99        4    0      14            14           914          1814
    -#> 15          -99        4    0      15            15           915          1815
    -#> 16          -99        4    0      16            16           916          1816
    -#> 17          -99        4    1      17            17           917          1817
    -#> 18          -99        4    0      18            18           918          1818
    -#> 19          -99        4    0      19            19           919          1819
    -#> 20          -99        4    1      20            20           920          1820
    -#> 21          -99        4    0      21            21           921          1821
    -#> 22          -99        4    0      22            22           922          1822
    -#> 23          -99        4    0      23            23           923          1823
    -#> 24          -99        4    1      24            24           924          1824
    -#> 25          -99        4    0      25            25           925          1825
    -#> 26          -99        4    0      26            26           926          1826
    -#> 27          -99        4    1      27            27           927          1827
    -#> 28          -99        4    0      28            28           928          1828
    -#> 29          -99        4    0      29            29           929          1829
    -#> 30          -99        4    0      30            30           930          1830
    -#> 121         -99        4    0      31            31           931          1831
    -#> 122         -99        4    0      32            32           932          1832
    -#> 123         -99        4    0      33            33           933          1833
    -#> 124         -99        4    0      34            34           934          1834
    -#> 125         -99        4    0      35            35           935          1835
    -#> 126         -99        4    1      36            36           936          1836
    -#> 127         -99        4    1      37            37           937          1837
    -#> 128         -99        4    0      38            38           938          1838
    -#> 129         -99        4    0      39            39           939          1839
    -#> 130         -99        4    0      40            40           940          1840
    -#> 131         -99        4    1      41            41           941          1841
    -#> 132         -99        4    1      42            42           942          1842
    -#> 133         -99        4    0      43            43           943          1843
    -#> 134         -99        4    0      44            44           944          1844
    -#> 135         -99        4    0      45            45           945          1845
    -#> 136         -99        4    1      46            46           946          1846
    -#> 137         -99        4    0      47            47           947          1847
    -#> 138         -99        4    1      48            48           948          1848
    -#> 139         -99        4    1      49            49           949          1849
    -#> 140         -99        4    0      50            50           950          1850
    -#> 141         -99        4    0      51            51           951          1851
    -#> 142         -99        4    1      52            52           952          1852
    -#> 143         -99        4    1      53            53           953          1853
    -#> 144         -99        4    0      54            54           954          1854
    -#> 145         -99        4    0      55            55           955          1855
    -#> 146         -99        4    0      56            56           956          1856
    -#> 147         -99        4    0      57            57           957          1857
    -#> 148         -99        4    0      58            58           958          1858
    -#> 149         -99        4    1      59            59           959          1859
    -#> 150         -99        4    0      60            60           960          1860
    -#> 241         -99        4    0      61            61           961          1861
    -#> 242         -99        4    1      62            62           962          1862
    -#> 243         -99        4    0      63            63           963          1863
    -#> 244         -99        4    1      64            64           964          1864
    -#> 245         -99        4    1      65            65           965          1865
    -#> 246         -99        4    1      66            66           966          1866
    -#> 247         -99        4    1      67            67           967          1867
    -#> 248         -99        4    0      68            68           968          1868
    -#> 249         -99        4    1      69            69           969          1869
    -#> 250         -99        4    1      70            70           970          1870
    -#> 251         -99        4    0      71            71           971          1871
    -#> 252         -99        4    1      72            72           972          1872
    -#> 253         -99        4    0      73            73           973          1873
    -#> 254         -99        4    0      74            74           974          1874
    -#> 255         -99        4    1      75            75           975          1875
    -#> 256         -99        4    1      76            76           976          1876
    -#> 257         -99        4    0      77            77           977          1877
    -#> 258         -99        4    0      78            78           978          1878
    -#> 259         -99        4    0      79            79           979          1879
    -#> 260         -99        4    0      80            80           980          1880
    -#> 261         -99        4    1      81            81           981          1881
    -#> 262         -99        4    0      82            82           982          1882
    -#> 263         -99        4    0      83            83           983          1883
    -#> 264         -99        4    0      84            84           984          1884
    -#> 265         -99        4    0      85            85           985          1885
    -#> 266         -99        4    0      86            86           986          1886
    -#> 267         -99        4    1      87            87           987          1887
    -#> 268         -99        4    0      88            88           988          1888
    -#> 269         -99        4    1      89            89           989          1889
    -#> 270         -99        4    1      90            90           990          1890
    -#> 361         -99        4    0      91            91           991          1891
    -#> 362         -99        4    0      92            92           992          1892
    -#> 363         -99        4    0      93            93           993          1893
    -#> 364         -99        4    0      94            94           994          1894
    -#> 365         -99        4    1      95            95           995          1895
    -#> 366         -99        4    0      96            96           996          1896
    -#> 367         -99        4    0      97            97           997          1897
    -#> 368         -99        4    0      98            98           998          1898
    -#> 369         -99        4    0      99            99           999          1899
    -#> 370         -99        4    0     100           100          1000          1900
    -#> 371         -99        4    0     101           101          1001          1901
    -#> 372         -99        4    0     102           102          1002          1902
    -#> 373         -99        4    1     103           103          1003          1903
    -#> 374         -99        4    0     104           104          1004          1904
    -#> 375         -99        4    0     105           105          1005          1905
    -#> 376         -99        4    0     106           106          1006          1906
    -#> 377         -99        4    1     107           107          1007          1907
    -#> 378         -99        4    1     108           108          1008          1908
    -#> 379         -99        4    1     109           109          1009          1909
    -#> 380         -99        4    0     110           110          1010          1910
    -#> 381         -99        4    0     111           111          1011          1911
    -#> 382         -99        4    0     112           112          1012          1912
    -#> 383         -99        4    0     113           113          1013          1913
    -#> 384         -99        4    0     114           114          1014          1914
    -#> 385         -99        4    0     115           115          1015          1915
    -#> 386         -99        4    0     116           116          1016          1916
    -#> 387         -99        4    1     117           117          1017          1917
    -#> 388         -99        4    0     118           118          1018          1918
    -#> 389         -99        4    0     119           119          1019          1919
    -#> 390         -99        4    0     120           120          1020          1920
    -#> 481         -99        4    1     121           121          1021          1921
    -#> 482         -99        4    0     122           122          1022          1922
    -#> 483         -99        4    0     123           123          1023          1923
    -#> 484         -99        4    0     124           124          1024          1924
    -#> 485         -99        4    0     125           125          1025          1925
    -#> 486         -99        4    0     126           126          1026          1926
    -#> 487         -99        4    0     127           127          1027          1927
    -#> 488         -99        4    0     128           128          1028          1928
    -#> 489         -99        4    1     129           129          1029          1929
    -#> 490         -99        4    0     130           130          1030          1930
    -#> 491         -99        4    1     131           131          1031          1931
    -#> 492         -99        4    0     132           132          1032          1932
    -#> 493         -99        4    0     133           133          1033          1933
    -#> 494         -99        4    1     134           134          1034          1934
    -#> 495         -99        4    0     135           135          1035          1935
    -#> 496         -99        4    0     136           136          1036          1936
    -#> 497         -99        4    0     137           137          1037          1937
    -#> 498         -99        4    0     138           138          1038          1938
    -#> 499         -99        4    0     139           139          1039          1939
    -#> 500         -99        4    0     140           140          1040          1940
    -#> 501         -99        4    0     141           141          1041          1941
    -#> 502         -99        4    0     142           142          1042          1942
    -#> 503         -99        4    0     143           143          1043          1943
    -#> 504         -99        4    0     144           144          1044          1944
    -#> 505         -99        4    0     145           145          1045          1945
    -#> 506         -99        4    0     146           146          1046          1946
    -#> 507         -99        4    0     147           147          1047          1947
    -#> 508         -99        4    0     148           148          1048          1948
    -#> 509         -99        4    1     149           149          1049          1949
    -#> 510         -99        4    0     150           150          1050          1950
    -#> 601         -99        4    1     151           151          1051          1951
    -#> 602         -99        4    0     152           152          1052          1952
    -#> 603         -99        4    0     153           153          1053          1953
    -#> 604         -99        4    1     154           154          1054          1954
    -#> 605         -99        4    0     155           155          1055          1955
    -#> 606         -99        4    0     156           156          1056          1956
    -#> 607         -99        4    1     157           157          1057          1957
    -#> 608         -99        4    1     158           158          1058          1958
    -#> 609         -99        4    0     159           159          1059          1959
    -#> 610         -99        4    1     160           160          1060          1960
    -#> 611         -99        4    0     161           161          1061          1961
    -#> 612         -99        4    1     162           162          1062          1962
    -#> 613         -99        4    0     163           163          1063          1963
    -#> 614         -99        4    0     164           164          1064          1964
    -#> 615         -99        4    1     165           165          1065          1965
    -#> 616         -99        4    1     166           166          1066          1966
    -#> 617         -99        4    0     167           167          1067          1967
    -#> 618         -99        4    0     168           168          1068          1968
    -#> 619         -99        4    0     169           169          1069          1969
    -#> 620         -99        4    0     170           170          1070          1970
    -#> 621         -99        4    0     171           171          1071          1971
    -#> 622         -99        4    1     172           172          1072          1972
    -#> 623         -99        4    0     173           173          1073          1973
    -#> 624         -99        4    0     174           174          1074          1974
    -#> 625         -99        4    0     175           175          1075          1975
    -#> 626         -99        4    0     176           176          1076          1976
    -#> 627         -99        4    0     177           177          1077          1977
    -#> 628         -99        4    1     178           178          1078          1978
    -#> 629         -99        4    0     179           179          1079          1979
    -#> 630         -99        4    0     180           180          1080          1980
    -#> 721         -99        4    0     181           181          1081          1981
    -#> 722         -99        4    1     182           182          1082          1982
    -#> 723         -99        4    0     183           183          1083          1983
    -#> 724         -99        4    1     184           184          1084          1984
    -#> 725         -99        4    1     185           185          1085          1985
    -#> 726         -99        4    0     186           186          1086          1986
    -#> 727         -99        4    0     187           187          1087          1987
    -#> 728         -99        4    0     188           188          1088          1988
    -#> 729         -99        4    0     189           189          1089          1989
    -#> 730         -99        4    0     190           190          1090          1990
    -#> 731         -99        4    0     191           191          1091          1991
    -#> 732         -99        4    0     192           192          1092          1992
    -#> 733         -99        4    0     193           193          1093          1993
    -#> 734         -99        4    0     194           194          1094          1994
    -#> 735         -99        4    0     195           195          1095          1995
    -#> 736         -99        4    0     196           196          1096          1996
    -#> 737         -99        4    0     197           197          1097          1997
    -#> 738         -99        4    1     198           198          1098          1998
    -#> 739         -99        4    0     199           199          1099          1999
    -#> 740         -99        4    0     200           200          1100          2000
    -#> 741         -99        4    1     201           201          1101          2001
    -#> 742         -99        4    0     202           202          1102          2002
    -#> 743         -99        4    1     203           203          1103          2003
    -#> 744         -99        4    0     204           204          1104          2004
    -#> 745         -99        4    0     205           205          1105          2005
    -#> 746         -99        4    0     206           206          1106          2006
    -#> 747         -99        4    1     207           207          1107          2007
    -#> 748         -99        4    0     208           208          1108          2008
    -#> 749         -99        4    0     209           209          1109          2009
    -#> 750         -99        4    0     210           210          1110          2010
    -#> 841         -99        4    1     211           211          1111          2011
    -#> 842         -99        4    0     212           212          1112          2012
    -#> 843         -99        4    0     213           213          1113          2013
    -#> 844         -99        4    0     214           214          1114          2014
    -#> 845         -99        4    0     215           215          1115          2015
    -#> 846         -99        4    0     216           216          1116          2016
    -#> 847         -99        4    0     217           217          1117          2017
    -#> 848         -99        4    0     218           218          1118          2018
    -#> 849         -99        4    0     219           219          1119          2019
    -#> 850         -99        4    1     220           220          1120          2020
    -#> 851         -99        4    0     221           221          1121          2021
    -#> 852         -99        4    1     222           222          1122          2022
    -#> 853         -99        4    0     223           223          1123          2023
    -#> 854         -99        4    0     224           224          1124          2024
    -#> 855         -99        4    0     225           225          1125          2025
    -#> 856         -99        4    0     226           226          1126          2026
    -#> 857         -99        4    0     227           227          1127          2027
    -#> 858         -99        4    0     228           228          1128          2028
    -#> 859         -99        4    1     229           229          1129          2029
    -#> 860         -99        4    0     230           230          1130          2030
    -#> 861         -99        4    0     231           231          1131          2031
    -#> 862         -99        4    0     232           232          1132          2032
    -#> 863         -99        4    0     233           233          1133          2033
    -#> 864         -99        4    1     234           234          1134          2034
    -#> 865         -99        4    0     235           235          1135          2035
    -#> 866         -99        4    0     236           236          1136          2036
    -#> 867         -99        4    0     237           237          1137          2037
    -#> 868         -99        4    0     238           238          1138          2038
    -#> 869         -99        4    0     239           239          1139          2039
    -#> 870         -99        4    0     240           240          1140          2040
    -#> 961         -99        4    1     241           241          1141          2041
    -#> 962         -99        4    1     242           242          1142          2042
    -#> 963         -99        4    0     243           243          1143          2043
    -#> 964         -99        4    1     244           244          1144          2044
    -#> 965         -99        4    1     245           245          1145          2045
    -#> 966         -99        4    1     246           246          1146          2046
    -#> 967         -99        4    0     247           247          1147          2047
    -#> 968         -99        4    0     248           248          1148          2048
    -#> 969         -99        4    1     249           249          1149          2049
    -#> 970         -99        4    0     250           250          1150          2050
    -#> 971         -99        4    0     251           251          1151          2051
    -#> 972         -99        4    1     252           252          1152          2052
    -#> 973         -99        4    1     253           253          1153          2053
    -#> 974         -99        4    1     254           254          1154          2054
    -#> 975         -99        4    1     255           255          1155          2055
    -#> 976         -99        4    0     256           256          1156          2056
    -#> 977         -99        4    0     257           257          1157          2057
    -#> 978         -99        4    0     258           258          1158          2058
    -#> 979         -99        4    0     259           259          1159          2059
    -#> 980         -99        4    0     260           260          1160          2060
    -#> 981         -99        4    0     261           261          1161          2061
    -#> 982         -99        4    0     262           262          1162          2062
    -#> 983         -99        4    1     263           263          1163          2063
    -#> 984         -99        4    0     264           264          1164          2064
    -#> 985         -99        4    0     265           265          1165          2065
    -#> 986         -99        4    0     266           266          1166          2066
    -#> 987         -99        4    0     267           267          1167          2067
    -#> 988         -99        4    0     268           268          1168          2068
    -#> 989         -99        4    0     269           269          1169          2069
    -#> 990         -99        4    1     270           270          1170          2070
    -#> 1081        -99        4    0     271           271          1171          2071
    -#> 1082        -99        4    0     272           272          1172          2072
    -#> 1083        -99        4    1     273           273          1173          2073
    -#> 1084        -99        4    0     274           274          1174          2074
    -#> 1085        -99        4    0     275           275          1175          2075
    -#> 1086        -99        4    1     276           276          1176          2076
    -#> 1087        -99        4    1     277           277          1177          2077
    -#> 1088        -99        4    0     278           278          1178          2078
    -#> 1089        -99        4    0     279           279          1179          2079
    -#> 1090        -99        4    0     280           280          1180          2080
    -#> 1091        -99        4    0     281           281          1181          2081
    -#> 1092        -99        4    0     282           282          1182          2082
    -#> 1093        -99        4    0     283           283          1183          2083
    -#> 1094        -99        4    1     284           284          1184          2084
    -#> 1095        -99        4    1     285           285          1185          2085
    -#> 1096        -99        4    0     286           286          1186          2086
    -#> 1097        -99        4    1     287           287          1187          2087
    -#> 1098        -99        4    0     288           288          1188          2088
    -#> 1099        -99        4    1     289           289          1189          2089
    -#> 1100        -99        4    0     290           290          1190          2090
    -#> 1101        -99        4    1     291           291          1191          2091
    -#> 1102        -99        4    1     292           292          1192          2092
    -#> 1103        -99        4    0     293           293          1193          2093
    -#> 1104        -99        4    1     294           294          1194          2094
    -#> 1105        -99        4    0     295           295          1195          2095
    -#> 1106        -99        4    0     296           296          1196          2096
    -#> 1107        -99        4    1     297           297          1197          2097
    -#> 1108        -99        4    0     298           298          1198          2098
    -#> 1109        -99        4    0     299           299          1199          2099
    -#> 1110        -99        4    0     300           300          1200          2100
    -#> 1201        -99        4    1     301           301          1201          2101
    -#> 1202        -99        4    1     302           302          1202          2102
    -#> 1203        -99        4    1     303           303          1203          2103
    -#> 1204        -99        4    1     304           304          1204          2104
    -#> 1205        -99        4    0     305           305          1205          2105
    -#> 1206        -99        4    0     306           306          1206          2106
    -#> 1207        -99        4    1     307           307          1207          2107
    -#> 1208        -99        4    0     308           308          1208          2108
    -#> 1209        -99        4    0     309           309          1209          2109
    -#> 1210        -99        4    1     310           310          1210          2110
    -#> 1211        -99        4    0     311           311          1211          2111
    -#> 1212        -99        4    0     312           312          1212          2112
    -#> 1213        -99        4    1     313           313          1213          2113
    -#> 1214        -99        4    1     314           314          1214          2114
    -#> 1215        -99        4    1     315           315          1215          2115
    -#> 1216        -99        4    1     316           316          1216          2116
    -#> 1217        -99        4    0     317           317          1217          2117
    -#> 1218        -99        4    1     318           318          1218          2118
    -#> 1219        -99        4    1     319           319          1219          2119
    -#> 1220        -99        4    1     320           320          1220          2120
    -#> 1221        -99        4    1     321           321          1221          2121
    -#> 1222        -99        4    1     322           322          1222          2122
    -#> 1223        -99        4    1     323           323          1223          2123
    -#> 1224        -99        4    1     324           324          1224          2124
    -#> 1225        -99        4    1     325           325          1225          2125
    -#> 1226        -99        4    1     326           326          1226          2126
    -#> 1227        -99        4    1     327           327          1227          2127
    -#> 1228        -99        4    0     328           328          1228          2128
    -#> 1229        -99        4    1     329           329          1229          2129
    -#> 1230        -99        4    1     330           330          1230          2130
    -#> 1321        -99        4    0     331           331          1231          2131
    -#> 1322        -99        4    1     332           332          1232          2132
    -#> 1323        -99        4    0     333           333          1233          2133
    -#> 1324        -99        4    0     334           334          1234          2134
    -#> 1325        -99        4    1     335           335          1235          2135
    -#> 1326        -99        4    0     336           336          1236          2136
    -#> 1327        -99        4    0     337           337          1237          2137
    -#> 1328        -99        4    0     338           338          1238          2138
    -#> 1329        -99        4    0     339           339          1239          2139
    -#> 1330        -99        4    1     340           340          1240          2140
    -#> 1331        -99        4    0     341           341          1241          2141
    -#> 1332        -99        4    1     342           342          1242          2142
    -#> 1333        -99        4    0     343           343          1243          2143
    -#> 1334        -99        4    1     344           344          1244          2144
    -#> 1335        -99        4    0     345           345          1245          2145
    -#> 1336        -99        4    1     346           346          1246          2146
    -#> 1337        -99        4    0     347           347          1247          2147
    -#> 1338        -99        4    1     348           348          1248          2148
    -#> 1339        -99        4    1     349           349          1249          2149
    -#> 1340        -99        4    0     350           350          1250          2150
    -#> 1341        -99        4    1     351           351          1251          2151
    -#> 1342        -99        4    0     352           352          1252          2152
    -#> 1343        -99        4    1     353           353          1253          2153
    -#> 1344        -99        4    0     354           354          1254          2154
    -#> 1345        -99        4    1     355           355          1255          2155
    -#> 1346        -99        4    1     356           356          1256          2156
    -#> 1347        -99        4    0     357           357          1257          2157
    -#> 1348        -99        4    1     358           358          1258          2158
    -#> 1349        -99        4    0     359           359          1259          2159
    -#> 1350        -99        4    0     360           360          1260          2160
    -#> 1441        -99        4    1     361           361          1261          2161
    -#> 1442        -99        4    0     362           362          1262          2162
    -#> 1443        -99        4    1     363           363          1263          2163
    -#> 1444        -99        4    0     364           364          1264          2164
    -#> 1445        -99        4    1     365           365          1265          2165
    -#> 1446        -99        4    1     366           366          1266          2166
    -#> 1447        -99        4    1     367           367          1267          2167
    -#> 1448        -99        4    1     368           368          1268          2168
    -#> 1449        -99        4    1     369           369          1269          2169
    -#> 1450        -99        4    1     370           370          1270          2170
    -#> 1451        -99        4    1     371           371          1271          2171
    -#> 1452        -99        4    1     372           372          1272          2172
    -#> 1453        -99        4    1     373           373          1273          2173
    -#> 1454        -99        4    1     374           374          1274          2174
    -#> 1455        -99        4    1     375           375          1275          2175
    -#> 1456        -99        4    1     376           376          1276          2176
    -#> 1457        -99        4    1     377           377          1277          2177
    -#> 1458        -99        4    0     378           378          1278          2178
    -#> 1459        -99        4    1     379           379          1279          2179
    -#> 1460        -99        4    1     380           380          1280          2180
    -#> 1461        -99        4    1     381           381          1281          2181
    -#> 1462        -99        4    0     382           382          1282          2182
    -#> 1463        -99        4    1     383           383          1283          2183
    -#> 1464        -99        4    1     384           384          1284          2184
    -#> 1465        -99        4    0     385           385          1285          2185
    -#> 1466        -99        4    1     386           386          1286          2186
    -#> 1467        -99        4    0     387           387          1287          2187
    -#> 1468        -99        4    0     388           388          1288          2188
    -#> 1469        -99        4    1     389           389          1289          2189
    -#> 1470        -99        4    0     390           390          1290          2190
    -#> 1561        -99        4    0     391           391          1291          2191
    -#> 1562        -99        4    1     392           392          1292          2192
    -#> 1563        -99        4    0     393           393          1293          2193
    -#> 1564        -99        4    0     394           394          1294          2194
    -#> 1565        -99        4    0     395           395          1295          2195
    -#> 1566        -99        4    0     396           396          1296          2196
    -#> 1567        -99        4    0     397           397          1297          2197
    -#> 1568        -99        4    0     398           398          1298          2198
    -#> 1569        -99        4    0     399           399          1299          2199
    -#> 1570        -99        4    0     400           400          1300          2200
    -#> 1571        -99        4    0     401           401          1301          2201
    -#> 1572        -99        4    0     402           402          1302          2202
    -#> 1573        -99        4    0     403           403          1303          2203
    -#> 1574        -99        4    0     404           404          1304          2204
    -#> 1575        -99        4    0     405           405          1305          2205
    -#> 1576        -99        4    0     406           406          1306          2206
    -#> 1577        -99        4    0     407           407          1307          2207
    -#> 1578        -99        4    1     408           408          1308          2208
    -#> 1579        -99        4    0     409           409          1309          2209
    -#> 1580        -99        4    0     410           410          1310          2210
    -#> 1581        -99        4    0     411           411          1311          2211
    -#> 1582        -99        4    0     412           412          1312          2212
    -#> 1583        -99        4    1     413           413          1313          2213
    -#> 1584        -99        4    0     414           414          1314          2214
    -#> 1585        -99        4    0     415           415          1315          2215
    -#> 1586        -99        4    0     416           416          1316          2216
    -#> 1587        -99        4    0     417           417          1317          2217
    -#> 1588        -99        4    0     418           418          1318          2218
    -#> 1589        -99        4    0     419           419          1319          2219
    -#> 1590        -99        4    0     420           420          1320          2220
    -#> 1681        -99        4    0     421           421          1321          2221
    -#> 1682        -99        4    0     422           422          1322          2222
    -#> 1683        -99        4    0     423           423          1323          2223
    -#> 1684        -99        4    1     424           424          1324          2224
    -#> 1685        -99        4    0     425           425          1325          2225
    -#> 1686        -99        4    0     426           426          1326          2226
    -#> 1687        -99        4    0     427           427          1327          2227
    -#> 1688        -99        4    0     428           428          1328          2228
    -#> 1689        -99        4    0     429           429          1329          2229
    -#> 1690        -99        4    0     430           430          1330          2230
    -#> 1691        -99        4    0     431           431          1331          2231
    -#> 1692        -99        4    1     432           432          1332          2232
    -#> 1693        -99        4    0     433           433          1333          2233
    -#> 1694        -99        4    1     434           434          1334          2234
    -#> 1695        -99        4    0     435           435          1335          2235
    -#> 1696        -99        4    0     436           436          1336          2236
    -#> 1697        -99        4    0     437           437          1337          2237
    -#> 1698        -99        4    0     438           438          1338          2238
    -#> 1699        -99        4    0     439           439          1339          2239
    -#> 1700        -99        4    0     440           440          1340          2240
    -#> 1701        -99        4    0     441           441          1341          2241
    -#> 1702        -99        4    0     442           442          1342          2242
    -#> 1703        -99        4    0     443           443          1343          2243
    -#> 1704        -99        4    0     444           444          1344          2244
    -#> 1705        -99        4    0     445           445          1345          2245
    -#> 1706        -99        4    0     446           446          1346          2246
    -#> 1707        -99        4    0     447           447          1347          2247
    -#> 1708        -99        4    0     448           448          1348          2248
    -#> 1709        -99        4    0     449           449          1349          2249
    -#> 1710        -99        4    0     450           450          1350          2250
    -#> 1801        -99        4    0     451           451          1351          2251
    -#> 1802        -99        4    1     452           452          1352          2252
    -#> 1803        -99        4    1     453           453          1353          2253
    -#> 1804        -99        4    1     454           454          1354          2254
    -#> 1805        -99        4    1     455           455          1355          2255
    -#> 1806        -99        4    1     456           456          1356          2256
    -#> 1807        -99        4    1     457           457          1357          2257
    -#> 1808        -99        4    0     458           458          1358          2258
    -#> 1809        -99        4    0     459           459          1359          2259
    -#> 1810        -99        4    1     460           460          1360          2260
    -#> 1811        -99        4    1     461           461          1361          2261
    -#> 1812        -99        4    1     462           462          1362          2262
    -#> 1813        -99        4    1     463           463          1363          2263
    -#> 1814        -99        4    1     464           464          1364          2264
    -#> 1815        -99        4    1     465           465          1365          2265
    -#> 1816        -99        4    1     466           466          1366          2266
    -#> 1817        -99        4    1     467           467          1367          2267
    -#> 1818        -99        4    1     468           468          1368          2268
    -#> 1819        -99        4    1     469           469          1369          2269
    -#> 1820        -99        4    1     470           470          1370          2270
    -#> 1821        -99        4    1     471           471          1371          2271
    -#> 1822        -99        4    1     472           472          1372          2272
    -#> 1823        -99        4    1     473           473          1373          2273
    -#> 1824        -99        4    1     474           474          1374          2274
    -#> 1825        -99        4    1     475           475          1375          2275
    -#> 1826        -99        4    1     476           476          1376          2276
    -#> 1827        -99        4    0     477           477          1377          2277
    -#> 1828        -99        4    1     478           478          1378          2278
    -#> 1829        -99        4    1     479           479          1379          2279
    -#> 1830        -99        4    1     480           480          1380          2280
    -#> 1921        -99        4    1     481           481          1381          2281
    -#> 1922        -99        4    1     482           482          1382          2282
    -#> 1923        -99        4    0     483           483          1383          2283
    -#> 1924        -99        4    0     484           484          1384          2284
    -#> 1925        -99        4    1     485           485          1385          2285
    -#> 1926        -99        4    1     486           486          1386          2286
    -#> 1927        -99        4    1     487           487          1387          2287
    -#> 1928        -99        4    0     488           488          1388          2288
    -#> 1929        -99        4    0     489           489          1389          2289
    -#> 1930        -99        4    1     490           490          1390          2290
    -#> 1931        -99        4    1     491           491          1391          2291
    -#> 1932        -99        4    1     492           492          1392          2292
    -#> 1933        -99        4    1     493           493          1393          2293
    -#> 1934        -99        4    0     494           494          1394          2294
    -#> 1935        -99        4    0     495           495          1395          2295
    -#> 1936        -99        4    1     496           496          1396          2296
    -#> 1937        -99        4    0     497           497          1397          2297
    -#> 1938        -99        4    1     498           498          1398          2298
    -#> 1939        -99        4    1     499           499          1399          2299
    -#> 1940        -99        4    0     500           500          1400          2300
    -#> 1941        -99        4    1     501           501          1401          2301
    -#> 1942        -99        4    1     502           502          1402          2302
    -#> 1943        -99        4    0     503           503          1403          2303
    -#> 1944        -99        4    0     504           504          1404          2304
    -#> 1945        -99        4    1     505           505          1405          2305
    -#> 1946        -99        4    1     506           506          1406          2306
    -#> 1947        -99        4    0     507           507          1407          2307
    -#> 1948        -99        4    0     508           508          1408          2308
    -#> 1949        -99        4    0     509           509          1409          2309
    -#> 1950        -99        4    0     510           510          1410          2310
    -#> 2041        -99        4    0     511           511          1411          2311
    -#> 2042        -99        4    0     512           512          1412          2312
    -#> 2043        -99        4    0     513           513          1413          2313
    -#> 2044        -99        4    0     514           514          1414          2314
    -#> 2045        -99        4    0     515           515          1415          2315
    -#> 2046        -99        4    0     516           516          1416          2316
    -#> 2047        -99        4    1     517           517          1417          2317
    -#> 2048        -99        4    0     518           518          1418          2318
    -#> 2049        -99        4    1     519           519          1419          2319
    -#> 2050        -99        4    0     520           520          1420          2320
    -#> 2051        -99        4    0     521           521          1421          2321
    -#> 2052        -99        4    0     522           522          1422          2322
    -#> 2053        -99        4    0     523           523          1423          2323
    -#> 2054        -99        4    0     524           524          1424          2324
    -#> 2055        -99        4    0     525           525          1425          2325
    -#> 2056        -99        4    0     526           526          1426          2326
    -#> 2057        -99        4    0     527           527          1427          2327
    -#> 2058        -99        4    0     528           528          1428          2328
    -#> 2059        -99        4    0     529           529          1429          2329
    -#> 2060        -99        4    0     530           530          1430          2330
    -#> 2061        -99        4    0     531           531          1431          2331
    -#> 2062        -99        4    0     532           532          1432          2332
    -#> 2063        -99        4    0     533           533          1433          2333
    -#> 2064        -99        4    0     534           534          1434          2334
    -#> 2065        -99        4    0     535           535          1435          2335
    -#> 2066        -99        4    0     536           536          1436          2336
    -#> 2067        -99        4    0     537           537          1437          2337
    -#> 2068        -99        4    0     538           538          1438          2338
    -#> 2069        -99        4    0     539           539          1439          2339
    -#> 2070        -99        4    0     540           540          1440          2340
    -#> 2161        -99        4    0     541           541          1441          2341
    -#> 2162        -99        4    1     542           542          1442          2342
    -#> 2163        -99        4    1     543           543          1443          2343
    -#> 2164        -99        4    1     544           544          1444          2344
    -#> 2165        -99        4    0     545           545          1445          2345
    -#> 2166        -99        4    0     546           546          1446          2346
    -#> 2167        -99        4    0     547           547          1447          2347
    -#> 2168        -99        4    0     548           548          1448          2348
    -#> 2169        -99        4    0     549           549          1449          2349
    -#> 2170        -99        4    1     550           550          1450          2350
    -#> 2171        -99        4    1     551           551          1451          2351
    -#> 2172        -99        4    1     552           552          1452          2352
    -#> 2173        -99        4    0     553           553          1453          2353
    -#> 2174        -99        4    1     554           554          1454          2354
    -#> 2175        -99        4    0     555           555          1455          2355
    -#> 2176        -99        4    0     556           556          1456          2356
    -#> 2177        -99        4    0     557           557          1457          2357
    -#> 2178        -99        4    1     558           558          1458          2358
    -#> 2179        -99        4    0     559           559          1459          2359
    -#> 2180        -99        4    0     560           560          1460          2360
    -#> 2181        -99        4    0     561           561          1461          2361
    -#> 2182        -99        4    1     562           562          1462          2362
    -#> 2183        -99        4    0     563           563          1463          2363
    -#> 2184        -99        4    0     564           564          1464          2364
    -#> 2185        -99        4    0     565           565          1465          2365
    -#> 2186        -99        4    1     566           566          1466          2366
    -#> 2187        -99        4    0     567           567          1467          2367
    -#> 2188        -99        4    0     568           568          1468          2368
    -#> 2189        -99        4    0     569           569          1469          2369
    -#> 2190        -99        4    0     570           570          1470          2370
    -#> 2281        -99        4    1     571           571          1471          2371
    -#> 2282        -99        4    0     572           572          1472          2372
    -#> 2283        -99        4    0     573           573          1473          2373
    -#> 2284        -99        4    1     574           574          1474          2374
    -#> 2285        -99        4    0     575           575          1475          2375
    -#> 2286        -99        4    0     576           576          1476          2376
    -#> 2287        -99        4    1     577           577          1477          2377
    -#> 2288        -99        4    0     578           578          1478          2378
    -#> 2289        -99        4    1     579           579          1479          2379
    -#> 2290        -99        4    0     580           580          1480          2380
    -#> 2291        -99        4    1     581           581          1481          2381
    -#> 2292        -99        4    0     582           582          1482          2382
    -#> 2293        -99        4    0     583           583          1483          2383
    -#> 2294        -99        4    1     584           584          1484          2384
    -#> 2295        -99        4    1     585           585          1485          2385
    -#> 2296        -99        4    0     586           586          1486          2386
    -#> 2297        -99        4    0     587           587          1487          2387
    -#> 2298        -99        4    1     588           588          1488          2388
    -#> 2299        -99        4    0     589           589          1489          2389
    -#> 2300        -99        4    1     590           590          1490          2390
    -#> 2301        -99        4    0     591           591          1491          2391
    -#> 2302        -99        4    1     592           592          1492          2392
    -#> 2303        -99        4    0     593           593          1493          2393
    -#> 2304        -99        4    0     594           594          1494          2394
    -#> 2305        -99        4    0     595           595          1495          2395
    -#> 2306        -99        4    0     596           596          1496          2396
    -#> 2307        -99        4    0     597           597          1497          2397
    -#> 2308        -99        4    0     598           598          1498          2398
    -#> 2309        -99        4    0     599           599          1499          2399
    -#> 2310        -99        4    0     600           600          1500          2400
    -#> 2401        -99        4    0     601           601          1501          2401
    -#> 2402        -99        4    0     602           602          1502          2402
    -#> 2403        -99        4    0     603           603          1503          2403
    -#> 2404        -99        4    0     604           604          1504          2404
    -#> 2405        -99        4    1     605           605          1505          2405
    -#> 2406        -99        4    1     606           606          1506          2406
    -#> 2407        -99        4    0     607           607          1507          2407
    -#> 2408        -99        4    0     608           608          1508          2408
    -#> 2409        -99        4    0     609           609          1509          2409
    -#> 2410        -99        4    0     610           610          1510          2410
    -#> 2411        -99        4    0     611           611          1511          2411
    -#> 2412        -99        4    0     612           612          1512          2412
    -#> 2413        -99        4    1     613           613          1513          2413
    -#> 2414        -99        4    0     614           614          1514          2414
    -#> 2415        -99        4    0     615           615          1515          2415
    -#> 2416        -99        4    0     616           616          1516          2416
    -#> 2417        -99        4    0     617           617          1517          2417
    -#> 2418        -99        4    0     618           618          1518          2418
    -#> 2419        -99        4    0     619           619          1519          2419
    -#> 2420        -99        4    0     620           620          1520          2420
    -#> 2421        -99        4    0     621           621          1521          2421
    -#> 2422        -99        4    0     622           622          1522          2422
    -#> 2423        -99        4    0     623           623          1523          2423
    -#> 2424        -99        4    1     624           624          1524          2424
    -#> 2425        -99        4    0     625           625          1525          2425
    -#> 2426        -99        4    0     626           626          1526          2426
    -#> 2427        -99        4    0     627           627          1527          2427
    -#> 2428        -99        4    0     628           628          1528          2428
    -#> 2429        -99        4    1     629           629          1529          2429
    -#> 2430        -99        4    0     630           630          1530          2430
    -#> 2521        -99        4    1     631           631          1531          2431
    -#> 2522        -99        4    0     632           632          1532          2432
    -#> 2523        -99        4    0     633           633          1533          2433
    -#> 2524        -99        4    1     634           634          1534          2434
    -#> 2525        -99        4    0     635           635          1535          2435
    -#> 2526        -99        4    1     636           636          1536          2436
    -#> 2527        -99        4    0     637           637          1537          2437
    -#> 2528        -99        4    1     638           638          1538          2438
    -#> 2529        -99        4    0     639           639          1539          2439
    -#> 2530        -99        4    0     640           640          1540          2440
    -#> 2531        -99        4    0     641           641          1541          2441
    -#> 2532        -99        4    0     642           642          1542          2442
    -#> 2533        -99        4    0     643           643          1543          2443
    -#> 2534        -99        4    0     644           644          1544          2444
    -#> 2535        -99        4    1     645           645          1545          2445
    -#> 2536        -99        4    0     646           646          1546          2446
    -#> 2537        -99        4    0     647           647          1547          2447
    -#> 2538        -99        4    1     648           648          1548          2448
    -#> 2539        -99        4    0     649           649          1549          2449
    -#> 2540        -99        4    0     650           650          1550          2450
    -#> 2541        -99        4    1     651           651          1551          2451
    -#> 2542        -99        4    0     652           652          1552          2452
    -#> 2543        -99        4    0     653           653          1553          2453
    -#> 2544        -99        4    0     654           654          1554          2454
    -#> 2545        -99        4    0     655           655          1555          2455
    -#> 2546        -99        4    0     656           656          1556          2456
    -#> 2547        -99        4    0     657           657          1557          2457
    -#> 2548        -99        4    1     658           658          1558          2458
    -#> 2549        -99        4    0     659           659          1559          2459
    -#> 2550        -99        4    0     660           660          1560          2460
    -#> 2641        -99        4    0     661           661          1561          2461
    -#> 2642        -99        4    0     662           662          1562          2462
    -#> 2643        -99        4    0     663           663          1563          2463
    -#> 2644        -99        4    1     664           664          1564          2464
    -#> 2645        -99        4    1     665           665          1565          2465
    -#> 2646        -99        4    0     666           666          1566          2466
    -#> 2647        -99        4    0     667           667          1567          2467
    -#> 2648        -99        4    0     668           668          1568          2468
    -#> 2649        -99        4    0     669           669          1569          2469
    -#> 2650        -99        4    0     670           670          1570          2470
    -#> 2651        -99        4    0     671           671          1571          2471
    -#> 2652        -99        4    0     672           672          1572          2472
    -#> 2653        -99        4    0     673           673          1573          2473
    -#> 2654        -99        4    0     674           674          1574          2474
    -#> 2655        -99        4    0     675           675          1575          2475
    -#> 2656        -99        4    0     676           676          1576          2476
    -#> 2657        -99        4    0     677           677          1577          2477
    -#> 2658        -99        4    0     678           678          1578          2478
    -#> 2659        -99        4    1     679           679          1579          2479
    -#> 2660        -99        4    0     680           680          1580          2480
    -#> 2661        -99        4    0     681           681          1581          2481
    -#> 2662        -99        4    0     682           682          1582          2482
    -#> 2663        -99        4    0     683           683          1583          2483
    -#> 2664        -99        4    0     684           684          1584          2484
    -#> 2665        -99        4    0     685           685          1585          2485
    -#> 2666        -99        4    0     686           686          1586          2486
    -#> 2667        -99        4    1     687           687          1587          2487
    -#> 2668        -99        4    0     688           688          1588          2488
    -#> 2669        -99        4    0     689           689          1589          2489
    -#> 2670        -99        4    1     690           690          1590          2490
    -#> 2761        -99        4    0     691           691          1591          2491
    -#> 2762        -99        4    0     692           692          1592          2492
    -#> 2763        -99        4    0     693           693          1593          2493
    -#> 2764        -99        4    0     694           694          1594          2494
    -#> 2765        -99        4    0     695           695          1595          2495
    -#> 2766        -99        4    0     696           696          1596          2496
    -#> 2767        -99        4    0     697           697          1597          2497
    -#> 2768        -99        4    0     698           698          1598          2498
    -#> 2769        -99        4    0     699           699          1599          2499
    -#> 2770        -99        4    0     700           700          1600          2500
    -#> 2771        -99        4    0     701           701          1601          2501
    -#> 2772        -99        4    0     702           702          1602          2502
    -#> 2773        -99        4    0     703           703          1603          2503
    -#> 2774        -99        4    0     704           704          1604          2504
    -#> 2775        -99        4    0     705           705          1605          2505
    -#> 2776        -99        4    0     706           706          1606          2506
    -#> 2777        -99        4    0     707           707          1607          2507
    -#> 2778        -99        4    1     708           708          1608          2508
    -#> 2779        -99        4    0     709           709          1609          2509
    -#> 2780        -99        4    0     710           710          1610          2510
    -#> 2781        -99        4    0     711           711          1611          2511
    -#> 2782        -99        4    0     712           712          1612          2512
    -#> 2783        -99        4    0     713           713          1613          2513
    -#> 2784        -99        4    0     714           714          1614          2514
    -#> 2785        -99        4    0     715           715          1615          2515
    -#> 2786        -99        4    0     716           716          1616          2516
    -#> 2787        -99        4    0     717           717          1617          2517
    -#> 2788        -99        4    0     718           718          1618          2518
    -#> 2789        -99        4    0     719           719          1619          2519
    -#> 2790        -99        4    0     720           720          1620          2520
    -#> 2881        -99        4    0     721           721          1621          2521
    -#> 2882        -99        4    1     722           722          1622          2522
    -#> 2883        -99        4    1     723           723          1623          2523
    -#> 2884        -99        4    0     724           724          1624          2524
    -#> 2885        -99        4    0     725           725          1625          2525
    -#> 2886        -99        4    0     726           726          1626          2526
    -#> 2887        -99        4    0     727           727          1627          2527
    -#> 2888        -99        4    1     728           728          1628          2528
    -#> 2889        -99        4    0     729           729          1629          2529
    -#> 2890        -99        4    0     730           730          1630          2530
    -#> 2891        -99        4    0     731           731          1631          2531
    -#> 2892        -99        4    0     732           732          1632          2532
    -#> 2893        -99        4    0     733           733          1633          2533
    -#> 2894        -99        4    0     734           734          1634          2534
    -#> 2895        -99        4    0     735           735          1635          2535
    -#> 2896        -99        4    0     736           736          1636          2536
    -#> 2897        -99        4    1     737           737          1637          2537
    -#> 2898        -99        4    0     738           738          1638          2538
    -#> 2899        -99        4    0     739           739          1639          2539
    -#> 2900        -99        4    1     740           740          1640          2540
    -#> 2901        -99        4    0     741           741          1641          2541
    -#> 2902        -99        4    0     742           742          1642          2542
    -#> 2903        -99        4    0     743           743          1643          2543
    -#> 2904        -99        4    1     744           744          1644          2544
    -#> 2905        -99        4    0     745           745          1645          2545
    -#> 2906        -99        4    0     746           746          1646          2546
    -#> 2907        -99        4    0     747           747          1647          2547
    -#> 2908        -99        4    0     748           748          1648          2548
    -#> 2909        -99        4    0     749           749          1649          2549
    -#> 2910        -99        4    0     750           750          1650          2550
    -#> 3001        -99        4    1     751           751          1651          2551
    -#> 3002        -99        4    0     752           752          1652          2552
    -#> 3003        -99        4    0     753           753          1653          2553
    -#> 3004        -99        4    0     754           754          1654          2554
    -#> 3005        -99        4    0     755           755          1655          2555
    -#> 3006        -99        4    0     756           756          1656          2556
    -#> 3007        -99        4    0     757           757          1657          2557
    -#> 3008        -99        4    0     758           758          1658          2558
    -#> 3009        -99        4    0     759           759          1659          2559
    -#> 3010        -99        4    0     760           760          1660          2560
    -#> 3011        -99        4    0     761           761          1661          2561
    -#> 3012        -99        4    0     762           762          1662          2562
    -#> 3013        -99        4    0     763           763          1663          2563
    -#> 3014        -99        4    0     764           764          1664          2564
    -#> 3015        -99        4    0     765           765          1665          2565
    -#> 3016        -99        4    0     766           766          1666          2566
    -#> 3017        -99        4    0     767           767          1667          2567
    -#> 3018        -99        4    0     768           768          1668          2568
    -#> 3019        -99        4    0     769           769          1669          2569
    -#> 3020        -99        4    0     770           770          1670          2570
    -#> 3021        -99        4    0     771           771          1671          2571
    -#> 3022        -99        4    0     772           772          1672          2572
    -#> 3023        -99        4    0     773           773          1673          2573
    -#> 3024        -99        4    0     774           774          1674          2574
    -#> 3025        -99        4    0     775           775          1675          2575
    -#> 3026        -99        4    0     776           776          1676          2576
    -#> 3027        -99        4    1     777           777          1677          2577
    -#> 3028        -99        4    0     778           778          1678          2578
    -#> 3029        -99        4    0     779           779          1679          2579
    -#> 3030        -99        4    0     780           780          1680          2580
    -#> 3121        -99        4    1     781           781          1681          2581
    -#> 3122        -99        4    1     782           782          1682          2582
    -#> 3123        -99        4    1     783           783          1683          2583
    -#> 3124        -99        4    0     784           784          1684          2584
    -#> 3125        -99        4    1     785           785          1685          2585
    -#> 3126        -99        4    1     786           786          1686          2586
    -#> 3127        -99        4    1     787           787          1687          2587
    -#> 3128        -99        4    1     788           788          1688          2588
    -#> 3129        -99        4    1     789           789          1689          2589
    -#> 3130        -99        4    0     790           790          1690          2590
    -#> 3131        -99        4    1     791           791          1691          2591
    -#> 3132        -99        4    0     792           792          1692          2592
    -#> 3133        -99        4    0     793           793          1693          2593
    -#> 3134        -99        4    1     794           794          1694          2594
    -#> 3135        -99        4    1     795           795          1695          2595
    -#> 3136        -99        4    0     796           796          1696          2596
    -#> 3137        -99        4    1     797           797          1697          2597
    -#> 3138        -99        4    0     798           798          1698          2598
    -#> 3139        -99        4    1     799           799          1699          2599
    -#> 3140        -99        4    1     800           800          1700          2600
    -#> 3141        -99        4    0     801           801          1701          2601
    -#> 3142        -99        4    1     802           802          1702          2602
    -#> 3143        -99        4    0     803           803          1703          2603
    -#> 3144        -99        4    1     804           804          1704          2604
    -#> 3145        -99        4    1     805           805          1705          2605
    -#> 3146        -99        4    1     806           806          1706          2606
    -#> 3147        -99        4    1     807           807          1707          2607
    -#> 3148        -99        4    0     808           808          1708          2608
    -#> 3149        -99        4    0     809           809          1709          2609
    -#> 3150        -99        4    1     810           810          1710          2610
    -#> 3241        -99        4    0     811           811          1711          2611
    -#> 3242        -99        4    1     812           812          1712          2612
    -#> 3243        -99        4    1     813           813          1713          2613
    -#> 3244        -99        4    0     814           814          1714          2614
    -#> 3245        -99        4    1     815           815          1715          2615
    -#> 3246        -99        4    0     816           816          1716          2616
    -#> 3247        -99        4    1     817           817          1717          2617
    -#> 3248        -99        4    0     818           818          1718          2618
    -#> 3249        -99        4    1     819           819          1719          2619
    -#> 3250        -99        4    0     820           820          1720          2620
    -#> 3251        -99        4    0     821           821          1721          2621
    -#> 3252        -99        4    0     822           822          1722          2622
    -#> 3253        -99        4    0     823           823          1723          2623
    -#> 3254        -99        4    1     824           824          1724          2624
    -#> 3255        -99        4    1     825           825          1725          2625
    -#> 3256        -99        4    0     826           826          1726          2626
    -#> 3257        -99        4    0     827           827          1727          2627
    -#> 3258        -99        4    1     828           828          1728          2628
    -#> 3259        -99        4    0     829           829          1729          2629
    -#> 3260        -99        4    0     830           830          1730          2630
    -#> 3261        -99        4    0     831           831          1731          2631
    -#> 3262        -99        4    1     832           832          1732          2632
    -#> 3263        -99        4    0     833           833          1733          2633
    -#> 3264        -99        4    0     834           834          1734          2634
    -#> 3265        -99        4    0     835           835          1735          2635
    -#> 3266        -99        4    0     836           836          1736          2636
    -#> 3267        -99        4    0     837           837          1737          2637
    -#> 3268        -99        4    0     838           838          1738          2638
    -#> 3269        -99        4    0     839           839          1739          2639
    -#> 3270        -99        4    0     840           840          1740          2640
    -#> 3361        -99        4    0     841           841          1741          2641
    -#> 3362        -99        4    0     842           842          1742          2642
    -#> 3363        -99        4    0     843           843          1743          2643
    -#> 3364        -99        4    0     844           844          1744          2644
    -#> 3365        -99        4    0     845           845          1745          2645
    -#> 3366        -99        4    0     846           846          1746          2646
    -#> 3367        -99        4    0     847           847          1747          2647
    -#> 3368        -99        4    0     848           848          1748          2648
    -#> 3369        -99        4    0     849           849          1749          2649
    -#> 3370        -99        4    0     850           850          1750          2650
    -#> 3371        -99        4    0     851           851          1751          2651
    -#> 3372        -99        4    0     852           852          1752          2652
    -#> 3373        -99        4    1     853           853          1753          2653
    -#> 3374        -99        4    0     854           854          1754          2654
    -#> 3375        -99        4    0     855           855          1755          2655
    -#> 3376        -99        4    0     856           856          1756          2656
    -#> 3377        -99        4    0     857           857          1757          2657
    -#> 3378        -99        4    0     858           858          1758          2658
    -#> 3379        -99        4    1     859           859          1759          2659
    -#> 3380        -99        4    0     860           860          1760          2660
    -#> 3381        -99        4    0     861           861          1761          2661
    -#> 3382        -99        4    0     862           862          1762          2662
    -#> 3383        -99        4    0     863           863          1763          2663
    -#> 3384        -99        4    0     864           864          1764          2664
    -#> 3385        -99        4    0     865           865          1765          2665
    -#> 3386        -99        4    0     866           866          1766          2666
    -#> 3387        -99        4    0     867           867          1767          2667
    -#> 3388        -99        4    1     868           868          1768          2668
    -#> 3389        -99        4    1     869           869          1769          2669
    -#> 3390        -99        4    0     870           870          1770          2670
    -#> 3481        -99        4    1     871           871          1771          2671
    -#> 3482        -99        4    1     872           872          1772          2672
    -#> 3483        -99        4    0     873           873          1773          2673
    -#> 3484        -99        4    1     874           874          1774          2674
    -#> 3485        -99        4    1     875           875          1775          2675
    -#> 3486        -99        4    1     876           876          1776          2676
    -#> 3487        -99        4    1     877           877          1777          2677
    -#> 3488        -99        4    1     878           878          1778          2678
    -#> 3489        -99        4    1     879           879          1779          2679
    -#> 3490        -99        4    0     880           880          1780          2680
    -#> 3491        -99        4    1     881           881          1781          2681
    -#> 3492        -99        4    1     882           882          1782          2682
    -#> 3493        -99        4    1     883           883          1783          2683
    -#> 3494        -99        4    1     884           884          1784          2684
    -#> 3495        -99        4    1     885           885          1785          2685
    -#> 3496        -99        4    0     886           886          1786          2686
    -#> 3497        -99        4    1     887           887          1787          2687
    -#> 3498        -99        4    0     888           888          1788          2688
    -#> 3499        -99        4    1     889           889          1789          2689
    -#> 3500        -99        4    0     890           890          1790          2690
    -#> 3501        -99        4    1     891           891          1791          2691
    -#> 3502        -99        4    0     892           892          1792          2692
    -#> 3503        -99        4    1     893           893          1793          2693
    -#> 3504        -99        4    0     894           894          1794          2694
    -#> 3505        -99        4    1     895           895          1795          2695
    -#> 3506        -99        4    1     896           896          1796          2696
    -#> 3507        -99        4    1     897           897          1797          2697
    -#> 3508        -99        4    0     898           898          1798          2698
    -#> 3509        -99        4    1     899           899          1799          2699
    -#> 3510        -99        4    1     900           900          1800          2700
    -#> 110         900      -99  -99       1           -99           -99           -99
    -#> 210         -99      -99  -99       2           -99           -99           -99
    -#> 31          -99      -99  -99       3           -99           -99           -99
    -#> 41          -99      -99  -99       4           -99           -99           -99
    -#> 51          -99      -99  -99       5           -99           -99           -99
    -#> 61          -99      -99  -99       6           -99           -99           -99
    -#> 71          -99      -99  -99       7           -99           -99           -99
    -#> 81          -99      -99  -99       8           -99           -99           -99
    -#> 91          -99      -99  -99       9           -99           -99           -99
    -#> 101         -99      -99  -99      10           -99           -99           -99
    -#> 111         -99      -99  -99      11           -99           -99           -99
    -#> 1231        -99      -99  -99      12           -99           -99           -99
    -#> 1310        -99      -99  -99      13           -99           -99           -99
    -#> 1410        -99      -99  -99      14           -99           -99           -99
    -#> 151         -99      -99  -99      15           -99           -99           -99
    -#> 161         -99      -99  -99      16           -99           -99           -99
    -#> 171         -99      -99  -99      17           -99           -99           -99
    -#> 181         -99      -99  -99      18           -99           -99           -99
    -#> 191         -99      -99  -99      19           -99           -99           -99
    -#> 201         -99      -99  -99      20           -99           -99           -99
    -#> 211         -99      -99  -99      21           -99           -99           -99
    -#> 221         -99      -99  -99      22           -99           -99           -99
    -#> 231         -99      -99  -99      23           -99           -99           -99
    -#> 2431        -99      -99  -99      24           -99           -99           -99
    -#> 2510        -99      -99  -99      25           -99           -99           -99
    -#> 2610        -99      -99  -99      26           -99           -99           -99
    -#> 271         -99      -99  -99      27           -99           -99           -99
    -#> 281         -99      -99  -99      28           -99           -99           -99
    -#> 291         -99      -99  -99      29           -99           -99           -99
    -#> 301         -99      -99  -99      30           -99           -99           -99
    -#> 12110       -99      -99  -99      31           -99           -99           -99
    -#> 12210       -99      -99  -99      32           -99           -99           -99
    -#> 1232        -99      -99  -99      33           -99           -99           -99
    -#> 1241        -99      -99  -99      34           -99           -99           -99
    -#> 1251        -99      -99  -99      35           -99           -99           -99
    -#> 1261        -99      -99  -99      36           -99           -99           -99
    -#> 1271        -99      -99  -99      37           -99           -99           -99
    -#> 1281        -99      -99  -99      38           -99           -99           -99
    -#> 1291        -99      -99  -99      39           -99           -99           -99
    -#> 1301        -99      -99  -99      40           -99           -99           -99
    -#> 1311        -99      -99  -99      41           -99           -99           -99
    -#> 13210       -99      -99  -99      42           -99           -99           -99
    -#> 13310       -99      -99  -99      43           -99           -99           -99
    -#> 13410       -99      -99  -99      44           -99           -99           -99
    -#> 1351        -99      -99  -99      45           -99           -99           -99
    -#> 1361        -99      -99  -99      46           -99           -99           -99
    -#> 1371        -99      -99  -99      47           -99           -99           -99
    -#> 1381        -99      -99  -99      48           -99           -99           -99
    -#> 1391        -99      -99  -99      49           -99           -99           -99
    -#> 1401        -99      -99  -99      50           -99           -99           -99
    -#> 1411        -99      -99  -99      51           -99           -99           -99
    -#> 1421        -99      -99  -99      52           -99           -99           -99
    -#> 1431        -99      -99  -99      53           -99           -99           -99
    -#> 14410       -99      -99  -99      54           -99           -99           -99
    -#> 14510       -99      -99  -99      55           -99           -99           -99
    -#> 14610       -99      -99  -99      56           -99           -99           -99
    -#> 1471        -99      -99  -99      57           -99           -99           -99
    -#> 1481        -99      -99  -99      58           -99           -99           -99
    -#> 1491        -99      -99  -99      59           -99           -99           -99
    -#> 1501        -99      -99  -99      60           -99           -99           -99
    -#> 24110       -99      -99  -99      61           -99           -99           -99
    -#> 24210       -99      -99  -99      62           -99           -99           -99
    -#> 2432        -99      -99  -99      63           -99           -99           -99
    -#> 2441        -99      -99  -99      64           -99           -99           -99
    -#> 2451        -99      -99  -99      65           -99           -99           -99
    -#> 2461        -99      -99  -99      66           -99           -99           -99
    -#> 2471        -99      -99  -99      67           -99           -99           -99
    -#> 2481        -99      -99  -99      68           -99           -99           -99
    -#> 2491        -99      -99  -99      69           -99           -99           -99
    -#> 2501        -99      -99  -99      70           -99           -99           -99
    -#> 2511        -99      -99  -99      71           -99           -99           -99
    -#> 25210       -99      -99  -99      72           -99           -99           -99
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    -#> 34913       -99      -99  -99     881           -99           -99           -99
    -#> 34923       -99      -99  -99     882           -99           -99           -99
    -#> 34933       -99      -99  -99     883           -99           -99           -99
    -#> 34943       -99      -99  -99     884           -99           -99           -99
    -#> 34953       -99      -99  -99     885           -99           -99           -99
    -#> 34963       -99      -99  -99     886           -99           -99           -99
    -#> 34973       -99      -99  -99     887           -99           -99           -99
    -#> 34983       -99      -99  -99     888           -99           -99           -99
    -#> 34993       -99      -99  -99     889           -99           -99           -99
    -#> 35003       -99      -99  -99     890           -99           -99           -99
    -#> 35013       -99      -99  -99     891           -99           -99           -99
    -#> 35023       -99      -99  -99     892           -99           -99           -99
    -#> 35033       -99      -99  -99     893           -99           -99           -99
    -#> 35043       -99      -99  -99     894           -99           -99           -99
    -#> 35053       -99      -99  -99     895           -99           -99           -99
    -#> 35063       -99      -99  -99     896           -99           -99           -99
    -#> 35073       -99      -99  -99     897           -99           -99           -99
    -#> 35083       -99      -99  -99     898           -99           -99           -99
    -#> 35093       -99      -99  -99     899           -99           -99           -99
    -#> 35103       -99      -99  -99     900           -99           -99           -99
    -#>       ff_rep_index4
    -#> 1              2701
    -#> 2              2702
    -#> 3              2703
    -#> 4              2704
    -#> 5              2705
    -#> 6              2706
    -#> 7              2707
    -#> 8              2708
    -#> 9              2709
    -#> 10             2710
    -#> 11             2711
    -#> 12             2712
    -#> 13             2713
    -#> 14             2714
    -#> 15             2715
    -#> 16             2716
    -#> 17             2717
    -#> 18             2718
    -#> 19             2719
    -#> 20             2720
    -#> 21             2721
    -#> 22             2722
    -#> 23             2723
    -#> 24             2724
    -#> 25             2725
    -#> 26             2726
    -#> 27             2727
    -#> 28             2728
    -#> 29             2729
    -#> 30             2730
    -#> 121            2731
    -#> 122            2732
    -#> 123            2733
    -#> 124            2734
    -#> 125            2735
    -#> 126            2736
    -#> 127            2737
    -#> 128            2738
    -#> 129            2739
    -#> 130            2740
    -#> 131            2741
    -#> 132            2742
    -#> 133            2743
    -#> 134            2744
    -#> 135            2745
    -#> 136            2746
    -#> 137            2747
    -#> 138            2748
    -#> 139            2749
    -#> 140            2750
    -#> 141            2751
    -#> 142            2752
    -#> 143            2753
    -#> 144            2754
    -#> 145            2755
    -#> 146            2756
    -#> 147            2757
    -#> 148            2758
    -#> 149            2759
    -#> 150            2760
    -#> 241            2761
    -#> 242            2762
    -#> 243            2763
    -#> 244            2764
    -#> 245            2765
    -#> 246            2766
    -#> 247            2767
    -#> 248            2768
    -#> 249            2769
    -#> 250            2770
    -#> 251            2771
    -#> 252            2772
    -#> 253            2773
    -#> 254            2774
    -#> 255            2775
    -#> 256            2776
    -#> 257            2777
    -#> 258            2778
    -#> 259            2779
    -#> 260            2780
    -#> 261            2781
    -#> 262            2782
    -#> 263            2783
    -#> 264            2784
    -#> 265            2785
    -#> 266            2786
    -#> 267            2787
    -#> 268            2788
    -#> 269            2789
    -#> 270            2790
    -#> 361            2791
    -#> 362            2792
    -#> 363            2793
    -#> 364            2794
    -#> 365            2795
    -#> 366            2796
    -#> 367            2797
    -#> 368            2798
    -#> 369            2799
    -#> 370            2800
    -#> 371            2801
    -#> 372            2802
    -#> 373            2803
    -#> 374            2804
    -#> 375            2805
    -#> 376            2806
    -#> 377            2807
    -#> 378            2808
    -#> 379            2809
    -#> 380            2810
    -#> 381            2811
    -#> 382            2812
    -#> 383            2813
    -#> 384            2814
    -#> 385            2815
    -#> 386            2816
    -#> 387            2817
    -#> 388            2818
    -#> 389            2819
    -#> 390            2820
    -#> 481            2821
    -#> 482            2822
    -#> 483            2823
    -#> 484            2824
    -#> 485            2825
    -#> 486            2826
    -#> 487            2827
    -#> 488            2828
    -#> 489            2829
    -#> 490            2830
    -#> 491            2831
    -#> 492            2832
    -#> 493            2833
    -#> 494            2834
    -#> 495            2835
    -#> 496            2836
    -#> 497            2837
    -#> 498            2838
    -#> 499            2839
    -#> 500            2840
    -#> 501            2841
    -#> 502            2842
    -#> 503            2843
    -#> 504            2844
    -#> 505            2845
    -#> 506            2846
    -#> 507            2847
    -#> 508            2848
    -#> 509            2849
    -#> 510            2850
    -#> 601            2851
    -#> 602            2852
    -#> 603            2853
    -#> 604            2854
    -#> 605            2855
    -#> 606            2856
    -#> 607            2857
    -#> 608            2858
    -#> 609            2859
    -#> 610            2860
    -#> 611            2861
    -#> 612            2862
    -#> 613            2863
    -#> 614            2864
    -#> 615            2865
    -#> 616            2866
    -#> 617            2867
    -#> 618            2868
    -#> 619            2869
    -#> 620            2870
    -#> 621            2871
    -#> 622            2872
    -#> 623            2873
    -#> 624            2874
    -#> 625            2875
    -#> 626            2876
    -#> 627            2877
    -#> 628            2878
    -#> 629            2879
    -#> 630            2880
    -#> 721            2881
    -#> 722            2882
    -#> 723            2883
    -#> 724            2884
    -#> 725            2885
    -#> 726            2886
    -#> 727            2887
    -#> 728            2888
    -#> 729            2889
    -#> 730            2890
    -#> 731            2891
    -#> 732            2892
    -#> 733            2893
    -#> 734            2894
    -#> 735            2895
    -#> 736            2896
    -#> 737            2897
    -#> 738            2898
    -#> 739            2899
    -#> 740            2900
    -#> 741            2901
    -#> 742            2902
    -#> 743            2903
    -#> 744            2904
    -#> 745            2905
    -#> 746            2906
    -#> 747            2907
    -#> 748            2908
    -#> 749            2909
    -#> 750            2910
    -#> 841            2911
    -#> 842            2912
    -#> 843            2913
    -#> 844            2914
    -#> 845            2915
    -#> 846            2916
    -#> 847            2917
    -#> 848            2918
    -#> 849            2919
    -#> 850            2920
    -#> 851            2921
    -#> 852            2922
    -#> 853            2923
    -#> 854            2924
    -#> 855            2925
    -#> 856            2926
    -#> 857            2927
    -#> 858            2928
    -#> 859            2929
    -#> 860            2930
    -#> 861            2931
    -#> 862            2932
    -#> 863            2933
    -#> 864            2934
    -#> 865            2935
    -#> 866            2936
    -#> 867            2937
    -#> 868            2938
    -#> 869            2939
    -#> 870            2940
    -#> 961            2941
    -#> 962            2942
    -#> 963            2943
    -#> 964            2944
    -#> 965            2945
    -#> 966            2946
    -#> 967            2947
    -#> 968            2948
    -#> 969            2949
    -#> 970            2950
    -#> 971            2951
    -#> 972            2952
    -#> 973            2953
    -#> 974            2954
    -#> 975            2955
    -#> 976            2956
    -#> 977            2957
    -#> 978            2958
    -#> 979            2959
    -#> 980            2960
    -#> 981            2961
    -#> 982            2962
    -#> 983            2963
    -#> 984            2964
    -#> 985            2965
    -#> 986            2966
    -#> 987            2967
    -#> 988            2968
    -#> 989            2969
    -#> 990            2970
    -#> 1081           2971
    -#> 1082           2972
    -#> 1083           2973
    -#> 1084           2974
    -#> 1085           2975
    -#> 1086           2976
    -#> 1087           2977
    -#> 1088           2978
    -#> 1089           2979
    -#> 1090           2980
    -#> 1091           2981
    -#> 1092           2982
    -#> 1093           2983
    -#> 1094           2984
    -#> 1095           2985
    -#> 1096           2986
    -#> 1097           2987
    -#> 1098           2988
    -#> 1099           2989
    -#> 1100           2990
    -#> 1101           2991
    -#> 1102           2992
    -#> 1103           2993
    -#> 1104           2994
    -#> 1105           2995
    -#> 1106           2996
    -#> 1107           2997
    -#> 1108           2998
    -#> 1109           2999
    -#> 1110           3000
    -#> 1201           3001
    -#> 1202           3002
    -#> 1203           3003
    -#> 1204           3004
    -#> 1205           3005
    -#> 1206           3006
    -#> 1207           3007
    -#> 1208           3008
    -#> 1209           3009
    -#> 1210           3010
    -#> 1211           3011
    -#> 1212           3012
    -#> 1213           3013
    -#> 1214           3014
    -#> 1215           3015
    -#> 1216           3016
    -#> 1217           3017
    -#> 1218           3018
    -#> 1219           3019
    -#> 1220           3020
    -#> 1221           3021
    -#> 1222           3022
    -#> 1223           3023
    -#> 1224           3024
    -#> 1225           3025
    -#> 1226           3026
    -#> 1227           3027
    -#> 1228           3028
    -#> 1229           3029
    -#> 1230           3030
    -#> 1321           3031
    -#> 1322           3032
    -#> 1323           3033
    -#> 1324           3034
    -#> 1325           3035
    -#> 1326           3036
    -#> 1327           3037
    -#> 1328           3038
    -#> 1329           3039
    -#> 1330           3040
    -#> 1331           3041
    -#> 1332           3042
    -#> 1333           3043
    -#> 1334           3044
    -#> 1335           3045
    -#> 1336           3046
    -#> 1337           3047
    -#> 1338           3048
    -#> 1339           3049
    -#> 1340           3050
    -#> 1341           3051
    -#> 1342           3052
    -#> 1343           3053
    -#> 1344           3054
    -#> 1345           3055
    -#> 1346           3056
    -#> 1347           3057
    -#> 1348           3058
    -#> 1349           3059
    -#> 1350           3060
    -#> 1441           3061
    -#> 1442           3062
    -#> 1443           3063
    -#> 1444           3064
    -#> 1445           3065
    -#> 1446           3066
    -#> 1447           3067
    -#> 1448           3068
    -#> 1449           3069
    -#> 1450           3070
    -#> 1451           3071
    -#> 1452           3072
    -#> 1453           3073
    -#> 1454           3074
    -#> 1455           3075
    -#> 1456           3076
    -#> 1457           3077
    -#> 1458           3078
    -#> 1459           3079
    -#> 1460           3080
    -#> 1461           3081
    -#> 1462           3082
    -#> 1463           3083
    -#> 1464           3084
    -#> 1465           3085
    -#> 1466           3086
    -#> 1467           3087
    -#> 1468           3088
    -#> 1469           3089
    -#> 1470           3090
    -#> 1561           3091
    -#> 1562           3092
    -#> 1563           3093
    -#> 1564           3094
    -#> 1565           3095
    -#> 1566           3096
    -#> 1567           3097
    -#> 1568           3098
    -#> 1569           3099
    -#> 1570           3100
    -#> 1571           3101
    -#> 1572           3102
    -#> 1573           3103
    -#> 1574           3104
    -#> 1575           3105
    -#> 1576           3106
    -#> 1577           3107
    -#> 1578           3108
    -#> 1579           3109
    -#> 1580           3110
    -#> 1581           3111
    -#> 1582           3112
    -#> 1583           3113
    -#> 1584           3114
    -#> 1585           3115
    -#> 1586           3116
    -#> 1587           3117
    -#> 1588           3118
    -#> 1589           3119
    -#> 1590           3120
    -#> 1681           3121
    -#> 1682           3122
    -#> 1683           3123
    -#> 1684           3124
    -#> 1685           3125
    -#> 1686           3126
    -#> 1687           3127
    -#> 1688           3128
    -#> 1689           3129
    -#> 1690           3130
    -#> 1691           3131
    -#> 1692           3132
    -#> 1693           3133
    -#> 1694           3134
    -#> 1695           3135
    -#> 1696           3136
    -#> 1697           3137
    -#> 1698           3138
    -#> 1699           3139
    -#> 1700           3140
    -#> 1701           3141
    -#> 1702           3142
    -#> 1703           3143
    -#> 1704           3144
    -#> 1705           3145
    -#> 1706           3146
    -#> 1707           3147
    -#> 1708           3148
    -#> 1709           3149
    -#> 1710           3150
    -#> 1801           3151
    -#> 1802           3152
    -#> 1803           3153
    -#> 1804           3154
    -#> 1805           3155
    -#> 1806           3156
    -#> 1807           3157
    -#> 1808           3158
    -#> 1809           3159
    -#> 1810           3160
    -#> 1811           3161
    -#> 1812           3162
    -#> 1813           3163
    -#> 1814           3164
    -#> 1815           3165
    -#> 1816           3166
    -#> 1817           3167
    -#> 1818           3168
    -#> 1819           3169
    -#> 1820           3170
    -#> 1821           3171
    -#> 1822           3172
    -#> 1823           3173
    -#> 1824           3174
    -#> 1825           3175
    -#> 1826           3176
    -#> 1827           3177
    -#> 1828           3178
    -#> 1829           3179
    -#> 1830           3180
    -#> 1921           3181
    -#> 1922           3182
    -#> 1923           3183
    -#> 1924           3184
    -#> 1925           3185
    -#> 1926           3186
    -#> 1927           3187
    -#> 1928           3188
    -#> 1929           3189
    -#> 1930           3190
    -#> 1931           3191
    -#> 1932           3192
    -#> 1933           3193
    -#> 1934           3194
    -#> 1935           3195
    -#> 1936           3196
    -#> 1937           3197
    -#> 1938           3198
    -#> 1939           3199
    -#> 1940           3200
    -#> 1941           3201
    -#> 1942           3202
    -#> 1943           3203
    -#> 1944           3204
    -#> 1945           3205
    -#> 1946           3206
    -#> 1947           3207
    -#> 1948           3208
    -#> 1949           3209
    -#> 1950           3210
    -#> 2041           3211
    -#> 2042           3212
    -#> 2043           3213
    -#> 2044           3214
    -#> 2045           3215
    -#> 2046           3216
    -#> 2047           3217
    -#> 2048           3218
    -#> 2049           3219
    -#> 2050           3220
    -#> 2051           3221
    -#> 2052           3222
    -#> 2053           3223
    -#> 2054           3224
    -#> 2055           3225
    -#> 2056           3226
    -#> 2057           3227
    -#> 2058           3228
    -#> 2059           3229
    -#> 2060           3230
    -#> 2061           3231
    -#> 2062           3232
    -#> 2063           3233
    -#> 2064           3234
    -#> 2065           3235
    -#> 2066           3236
    -#> 2067           3237
    -#> 2068           3238
    -#> 2069           3239
    -#> 2070           3240
    -#> 2161           3241
    -#> 2162           3242
    -#> 2163           3243
    -#> 2164           3244
    -#> 2165           3245
    -#> 2166           3246
    -#> 2167           3247
    -#> 2168           3248
    -#> 2169           3249
    -#> 2170           3250
    -#> 2171           3251
    -#> 2172           3252
    -#> 2173           3253
    -#> 2174           3254
    -#> 2175           3255
    -#> 2176           3256
    -#> 2177           3257
    -#> 2178           3258
    -#> 2179           3259
    -#> 2180           3260
    -#> 2181           3261
    -#> 2182           3262
    -#> 2183           3263
    -#> 2184           3264
    -#> 2185           3265
    -#> 2186           3266
    -#> 2187           3267
    -#> 2188           3268
    -#> 2189           3269
    -#> 2190           3270
    -#> 2281           3271
    -#> 2282           3272
    -#> 2283           3273
    -#> 2284           3274
    -#> 2285           3275
    -#> 2286           3276
    -#> 2287           3277
    -#> 2288           3278
    -#> 2289           3279
    -#> 2290           3280
    -#> 2291           3281
    -#> 2292           3282
    -#> 2293           3283
    -#> 2294           3284
    -#> 2295           3285
    -#> 2296           3286
    -#> 2297           3287
    -#> 2298           3288
    -#> 2299           3289
    -#> 2300           3290
    -#> 2301           3291
    -#> 2302           3292
    -#> 2303           3293
    -#> 2304           3294
    -#> 2305           3295
    -#> 2306           3296
    -#> 2307           3297
    -#> 2308           3298
    -#> 2309           3299
    -#> 2310           3300
    -#> 2401           3301
    -#> 2402           3302
    -#> 2403           3303
    -#> 2404           3304
    -#> 2405           3305
    -#> 2406           3306
    -#> 2407           3307
    -#> 2408           3308
    -#> 2409           3309
    -#> 2410           3310
    -#> 2411           3311
    -#> 2412           3312
    -#> 2413           3313
    -#> 2414           3314
    -#> 2415           3315
    -#> 2416           3316
    -#> 2417           3317
    -#> 2418           3318
    -#> 2419           3319
    -#> 2420           3320
    -#> 2421           3321
    -#> 2422           3322
    -#> 2423           3323
    -#> 2424           3324
    -#> 2425           3325
    -#> 2426           3326
    -#> 2427           3327
    -#> 2428           3328
    -#> 2429           3329
    -#> 2430           3330
    -#> 2521           3331
    -#> 2522           3332
    -#> 2523           3333
    -#> 2524           3334
    -#> 2525           3335
    -#> 2526           3336
    -#> 2527           3337
    -#> 2528           3338
    -#> 2529           3339
    -#> 2530           3340
    -#> 2531           3341
    -#> 2532           3342
    -#> 2533           3343
    -#> 2534           3344
    -#> 2535           3345
    -#> 2536           3346
    -#> 2537           3347
    -#> 2538           3348
    -#> 2539           3349
    -#> 2540           3350
    -#> 2541           3351
    -#> 2542           3352
    -#> 2543           3353
    -#> 2544           3354
    -#> 2545           3355
    -#> 2546           3356
    -#> 2547           3357
    -#> 2548           3358
    -#> 2549           3359
    -#> 2550           3360
    -#> 2641           3361
    -#> 2642           3362
    -#> 2643           3363
    -#> 2644           3364
    -#> 2645           3365
    -#> 2646           3366
    -#> 2647           3367
    -#> 2648           3368
    -#> 2649           3369
    -#> 2650           3370
    -#> 2651           3371
    -#> 2652           3372
    -#> 2653           3373
    -#> 2654           3374
    -#> 2655           3375
    -#> 2656           3376
    -#> 2657           3377
    -#> 2658           3378
    -#> 2659           3379
    -#> 2660           3380
    -#> 2661           3381
    -#> 2662           3382
    -#> 2663           3383
    -#> 2664           3384
    -#> 2665           3385
    -#> 2666           3386
    -#> 2667           3387
    -#> 2668           3388
    -#> 2669           3389
    -#> 2670           3390
    -#> 2761           3391
    -#> 2762           3392
    -#> 2763           3393
    -#> 2764           3394
    -#> 2765           3395
    -#> 2766           3396
    -#> 2767           3397
    -#> 2768           3398
    -#> 2769           3399
    -#> 2770           3400
    -#> 2771           3401
    -#> 2772           3402
    -#> 2773           3403
    -#> 2774           3404
    -#> 2775           3405
    -#> 2776           3406
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    -#> 
    -#> $n_rep
    -#> [1] 4
    -#> 
    -#> $type
    -#> [1] "single"
    -#> 
    -#> $unit_covs
    -#> [1] "uc1"     "uc2"     "grp"     "species"
    -#> 
    -#> $event_covs
    -#> [1] "ec1" "ec2"
    -#> 
    -#> attr(,"class")
    -#> [1] "list"         "flocker_data"
    -
    -
    -
    - -
    - - -
    - -
    -

    Site built with pkgdown 2.0.7.

    -
    - -
    - - - - - - - - diff --git a/docs/reference/make_flocker_data_augmented.html b/docs/reference/make_flocker_data_augmented.html deleted file mode 100644 index 87765d2..0000000 --- a/docs/reference/make_flocker_data_augmented.html +++ /dev/null @@ -1,143 +0,0 @@ - -#' Format data for data-augmented occupancy model, to be passed to - flock(). — make_flocker_data_augmented • flocker - - -
    -
    - - - -
    -
    - - -
    -

    #' Format data for data-augmented occupancy model, to be passed to - flock().

    -
    - -
    -
    make_flocker_data_augmented(
    -  obs,
    -  n_aug,
    -  site_covs = NULL,
    -  event_covs = NULL,
    -  quiet = FALSE
    -)
    -
    - -
    -

    Arguments

    -
    obs
    -

    An I x J x K array where rows I are sites, columns J are -repeat sampling events, and slices K are species. Allowable values are 1 -(detection), 0 (no detection), and NA (no sampling event). - The data must be formatted so that all NAs are trailing within their rows.

    - - -
    n_aug
    -

    Number of pseudospecies to augment

    - - -
    site_covs
    -

    A dataframe of covariates for each site that are constant -across repeated sampling events.

    - - -
    event_covs
    -

    A named list of I x J matrices, each one corresponding to a -covariate that varies across repeated sampling events within sites

    - - -
    quiet
    -

    Hide progress bars and informational messages?

    - -
    -
    -

    Value

    - - -

    A flocker_data list that can be passed as data to flocker().

    -
    - -
    - -
    - - -
    - -
    -

    Site built with pkgdown 2.0.7.

    -
    - -
    - - - - - - - - diff --git a/docs/reference/make_flocker_data_dynamic.html b/docs/reference/make_flocker_data_dynamic.html deleted file mode 100644 index 5a894b8..0000000 --- a/docs/reference/make_flocker_data_dynamic.html +++ /dev/null @@ -1,142 +0,0 @@ - -Format data for dynamic (multi-season) occupancy model, to be passed to - flock(). — make_flocker_data_dynamic • flocker - - -
    -
    - - - -
    -
    - - -
    -

    Format data for dynamic (multi-season) occupancy model, to be passed to - flock().

    -
    - -
    -
    make_flocker_data_dynamic(
    -  obs,
    -  unit_covs = NULL,
    -  event_covs = NULL,
    -  quiet = FALSE
    -)
    -
    - -
    -

    Arguments

    -
    obs
    -

    An I x J x K array where closure is assumed across rows, columns -are repeated sampling events, and slices along the third dimension are -seasons. Allowable values are 1 (detection), 0 (no detection), and NA (no -sampling event). -The data must be formatted so that all NAs are trailing within their rows -across repeat visits, but not necessarily across seasons.

    - - -
    unit_covs
    -

    A list of dataframes (one per season) of covariates for -each closure-unit that are constant across repeated sampling events within -units. All dataframes must have identical column names and types, and all -dataframes must have I rows.

    - - -
    event_covs
    -

    A named list of I x J x K arrays, each one corresponding to -a covariate that varies across repeated sampling events within closure-units

    - - -
    quiet
    -

    Hide progress bars and informational messages?

    - -
    -
    -

    Value

    - - -

    A flocker_data list that can be passed as data to flock().

    -
    - -
    - -
    - - -
    - -
    -

    Site built with pkgdown 2.0.7.

    -
    - -
    - - - - - - - - diff --git a/docs/reference/make_flocker_data_static.html b/docs/reference/make_flocker_data_static.html deleted file mode 100644 index 54e7b59..0000000 --- a/docs/reference/make_flocker_data_static.html +++ /dev/null @@ -1,10966 +0,0 @@ - -Format data for single-season occupancy model, to be passed to - flock(). — make_flocker_data_static • flocker - - -
    -
    - - - -
    -
    - - -
    -

    Format data for single-season occupancy model, to be passed to - flock().

    -
    - -
    -
    make_flocker_data_static(
    -  obs,
    -  unit_covs = NULL,
    -  event_covs = NULL,
    -  quiet = FALSE
    -)
    -
    - -
    -

    Arguments

    -
    obs
    -

    An I x J matrix-like object where closure is assumed across rows -and columns are repeated sampling events. Allowable values are 1 (detection), -0 (no detection), and NA (no sampling event).

    - - -
    unit_covs
    -

    A dataframe of covariates for each unit that are constant -across repeated sampling events within closure-units.

    - - -
    event_covs
    -

    A named list of I x J matrices, each one corresponding to a covariate -that varies across repeated sampling events within closure-units

    - - -
    quiet
    -

    Hide progress bars and informational messages?

    - -
    -
    -

    Value

    - - -

    A flocker_data list that can be passed as data to flock().

    -
    - -
    -

    Examples

    -
    make_flocker_data(
    - example_flocker_data$obs,
    - example_flocker_data$unit_covs,
    - example_flocker_data$event_covs
    -)
    -#> Formatting data for a single-season occupancy model. For details, see make_flocker_data_static. All warnings and error messages should be interpreted in the context of make_flocker_data_static
    -#> $data
    -#>       ff_y         uc1         uc2 grp species          ec1         ec2
    -#> 1        0 -0.56047565  0.42646422   7    sp_1  0.321519971 -0.96540472
    -#> 2        0 -0.56047565  0.42646422   3    sp_2  0.321519971 -0.96540472
    -#> 3        0 -0.56047565  0.42646422  15    sp_3  0.321519971 -0.96540472
    -#> 4        0 -0.56047565  0.42646422   5    sp_4  0.321519971 -0.96540472
    -#> 5        1 -0.56047565  0.42646422   8    sp_5  0.321519971 -0.96540472
    -#> 6        0 -0.56047565  0.42646422  19    sp_6  0.321519971 -0.96540472
    -#> 7        0 -0.56047565  0.42646422  10    sp_7  0.321519971 -0.96540472
    -#> 8        0 -0.56047565  0.42646422  18    sp_8  0.321519971 -0.96540472
    -#> 9        0 -0.56047565  0.42646422  10    sp_9  0.321519971 -0.96540472
    -#> 10       0 -0.56047565  0.42646422  12   sp_10  0.321519971 -0.96540472
    -#> 11       1 -0.56047565  0.42646422   2   sp_11  0.321519971 -0.96540472
    -#> 12       0 -0.56047565  0.42646422  10   sp_12  0.321519971 -0.96540472
    -#> 13       0 -0.56047565  0.42646422  12   sp_13  0.321519971 -0.96540472
    -#> 14       0 -0.56047565  0.42646422  20   sp_14  0.321519971 -0.96540472
    -#> 15       0 -0.56047565  0.42646422  14   sp_15  0.321519971 -0.96540472
    -#> 16       0 -0.56047565  0.42646422  17   sp_16  0.321519971 -0.96540472
    -#> 17       1 -0.56047565  0.42646422  14   sp_17  0.321519971 -0.96540472
    -#> 18       0 -0.56047565  0.42646422   3   sp_18  0.321519971 -0.96540472
    -#> 19       0 -0.56047565  0.42646422   8   sp_19  0.321519971 -0.96540472
    -#> 20       1 -0.56047565  0.42646422  14   sp_20  0.321519971 -0.96540472
    -#> 21       0 -0.56047565  0.42646422  19   sp_21  0.321519971 -0.96540472
    -#> 22       0 -0.56047565  0.42646422  15   sp_22  0.321519971 -0.96540472
    -#> 23       0 -0.56047565  0.42646422  17   sp_23  0.321519971 -0.96540472
    -#> 24       0 -0.56047565  0.42646422  11   sp_24  0.321519971 -0.96540472
    -#> 25       0 -0.56047565  0.42646422   7   sp_25  0.321519971 -0.96540472
    -#> 26       0 -0.56047565  0.42646422  15   sp_26  0.321519971 -0.96540472
    -#> 27       1 -0.56047565  0.42646422   6   sp_27  0.321519971 -0.96540472
    -#> 28       0 -0.56047565  0.42646422  14   sp_28  0.321519971 -0.96540472
    -#> 29       0 -0.56047565  0.42646422   7   sp_29  0.321519971 -0.96540472
    -#> 30       0 -0.56047565  0.42646422  10   sp_30  0.321519971 -0.96540472
    -#> 121      0 -0.23017749 -0.29507148   5    sp_1  0.545146877 -1.18355753
    -#> 122      0 -0.23017749 -0.29507148   6    sp_2  0.545146877 -1.18355753
    -#> 123      0 -0.23017749 -0.29507148  16    sp_3  0.545146877 -1.18355753
    -#> 124      0 -0.23017749 -0.29507148  11    sp_4  0.545146877 -1.18355753
    -#> 125      0 -0.23017749 -0.29507148   4    sp_5  0.545146877 -1.18355753
    -#> 126      1 -0.23017749 -0.29507148  12    sp_6  0.545146877 -1.18355753
    -#> 127      0 -0.23017749 -0.29507148  14    sp_7  0.545146877 -1.18355753
    -#> 128      0 -0.23017749 -0.29507148  19    sp_8  0.545146877 -1.18355753
    -#> 129      0 -0.23017749 -0.29507148   7    sp_9  0.545146877 -1.18355753
    -#> 130      0 -0.23017749 -0.29507148   9   sp_10  0.545146877 -1.18355753
    -#> 131      1 -0.23017749 -0.29507148   7   sp_11  0.545146877 -1.18355753
    -#> 132      0 -0.23017749 -0.29507148   2   sp_12  0.545146877 -1.18355753
    -#> 133      0 -0.23017749 -0.29507148  16   sp_13  0.545146877 -1.18355753
    -#> 134      0 -0.23017749 -0.29507148  13   sp_14  0.545146877 -1.18355753
    -#> 135      0 -0.23017749 -0.29507148  19   sp_15  0.545146877 -1.18355753
    -#> 136      1 -0.23017749 -0.29507148  20   sp_16  0.545146877 -1.18355753
    -#> 137      0 -0.23017749 -0.29507148  15   sp_17  0.545146877 -1.18355753
    -#> 138      0 -0.23017749 -0.29507148   7   sp_18  0.545146877 -1.18355753
    -#> 139      1 -0.23017749 -0.29507148   4   sp_19  0.545146877 -1.18355753
    -#> 140      0 -0.23017749 -0.29507148   1   sp_20  0.545146877 -1.18355753
    -#> 141      0 -0.23017749 -0.29507148   8   sp_21  0.545146877 -1.18355753
    -#> 142      1 -0.23017749 -0.29507148  20   sp_22  0.545146877 -1.18355753
    -#> 143      1 -0.23017749 -0.29507148  16   sp_23  0.545146877 -1.18355753
    -#> 144      0 -0.23017749 -0.29507148  11   sp_24  0.545146877 -1.18355753
    -#> 145      0 -0.23017749 -0.29507148  16   sp_25  0.545146877 -1.18355753
    -#> 146      0 -0.23017749 -0.29507148  20   sp_26  0.545146877 -1.18355753
    -#> 147      0 -0.23017749 -0.29507148   8   sp_27  0.545146877 -1.18355753
    -#> 148      0 -0.23017749 -0.29507148   3   sp_28  0.545146877 -1.18355753
    -#> 149      1 -0.23017749 -0.29507148   4   sp_29  0.545146877 -1.18355753
    -#> 150      0 -0.23017749 -0.29507148  20   sp_30  0.545146877 -1.18355753
    -#> 241      0  1.55870831  0.89512566  12    sp_1 -0.636097623  0.76339802
    -#> 242      1  1.55870831  0.89512566  17    sp_2 -0.636097623  0.76339802
    -#> 243      0  1.55870831  0.89512566  10    sp_3 -0.636097623  0.76339802
    -#> 244      0  1.55870831  0.89512566  20    sp_4 -0.636097623  0.76339802
    -#> 245      1  1.55870831  0.89512566  11    sp_5 -0.636097623  0.76339802
    -#> 246      0  1.55870831  0.89512566   8    sp_6 -0.636097623  0.76339802
    -#> 247      0  1.55870831  0.89512566  14    sp_7 -0.636097623  0.76339802
    -#> 248      0  1.55870831  0.89512566  13    sp_8 -0.636097623  0.76339802
    -#> 249      0  1.55870831  0.89512566   2    sp_9 -0.636097623  0.76339802
    -#> 250      1  1.55870831  0.89512566  11   sp_10 -0.636097623  0.76339802
    -#> 251      0  1.55870831  0.89512566  13   sp_11 -0.636097623  0.76339802
    -#> 252      0  1.55870831  0.89512566  14   sp_12 -0.636097623  0.76339802
    -#> 253      0  1.55870831  0.89512566   6   sp_13 -0.636097623  0.76339802
    -#> 254      0  1.55870831  0.89512566   8   sp_14 -0.636097623  0.76339802
    -#> 255      1  1.55870831  0.89512566  12   sp_15 -0.636097623  0.76339802
    -#> 256      0  1.55870831  0.89512566   4   sp_16 -0.636097623  0.76339802
    -#> 257      0  1.55870831  0.89512566  13   sp_17 -0.636097623  0.76339802
    -#> 258      0  1.55870831  0.89512566  14   sp_18 -0.636097623  0.76339802
    -#> 259      0  1.55870831  0.89512566  16   sp_19 -0.636097623  0.76339802
    -#> 260      0  1.55870831  0.89512566   1   sp_20 -0.636097623  0.76339802
    -#> 261      0  1.55870831  0.89512566   8   sp_21 -0.636097623  0.76339802
    -#> 262      0  1.55870831  0.89512566   8   sp_22 -0.636097623  0.76339802
    -#> 263      0  1.55870831  0.89512566  10   sp_23 -0.636097623  0.76339802
    -#> 264      0  1.55870831  0.89512566   8   sp_24 -0.636097623  0.76339802
    -#> 265      0  1.55870831  0.89512566  18   sp_25 -0.636097623  0.76339802
    -#> 266      0  1.55870831  0.89512566   9   sp_26 -0.636097623  0.76339802
    -#> 267      0  1.55870831  0.89512566   7   sp_27 -0.636097623  0.76339802
    -#> 268      0  1.55870831  0.89512566   7   sp_28 -0.636097623  0.76339802
    -#> 269      0  1.55870831  0.89512566  10   sp_29 -0.636097623  0.76339802
    -#> 270      1  1.55870831  0.89512566  11   sp_30 -0.636097623  0.76339802
    -#> 361      0  0.07050839  0.87813349   1    sp_1  1.376384123 -0.18537799
    -#> 362      0  0.07050839  0.87813349  19    sp_2  1.376384123 -0.18537799
    -#> 363      0  0.07050839  0.87813349  10    sp_3  1.376384123 -0.18537799
    -#> 364      0  0.07050839  0.87813349  13    sp_4  1.376384123 -0.18537799
    -#> 365      1  0.07050839  0.87813349  11    sp_5  1.376384123 -0.18537799
    -#> 366      0  0.07050839  0.87813349  11    sp_6  1.376384123 -0.18537799
    -#> 367      0  0.07050839  0.87813349  20    sp_7  1.376384123 -0.18537799
    -#> 368      0  0.07050839  0.87813349   7    sp_8  1.376384123 -0.18537799
    -#> 369      0  0.07050839  0.87813349  20    sp_9  1.376384123 -0.18537799
    -#> 370      0  0.07050839  0.87813349   9   sp_10  1.376384123 -0.18537799
    -#> 371      0  0.07050839  0.87813349   9   sp_11  1.376384123 -0.18537799
    -#> 372      0  0.07050839  0.87813349   5   sp_12  1.376384123 -0.18537799
    -#> 373      0  0.07050839  0.87813349  14   sp_13  1.376384123 -0.18537799
    -#> 374      0  0.07050839  0.87813349  14   sp_14  1.376384123 -0.18537799
    -#> 375      0  0.07050839  0.87813349   6   sp_15  1.376384123 -0.18537799
    -#> 376      0  0.07050839  0.87813349   1   sp_16  1.376384123 -0.18537799
    -#> 377      1  0.07050839  0.87813349  10   sp_17  1.376384123 -0.18537799
    -#> 378      1  0.07050839  0.87813349  17   sp_18  1.376384123 -0.18537799
    -#> 379      1  0.07050839  0.87813349  17   sp_19  1.376384123 -0.18537799
    -#> 380      0  0.07050839  0.87813349   7   sp_20  1.376384123 -0.18537799
    -#> 381      0  0.07050839  0.87813349   9   sp_21  1.376384123 -0.18537799
    -#> 382      0  0.07050839  0.87813349  20   sp_22  1.376384123 -0.18537799
    -#> 383      0  0.07050839  0.87813349   6   sp_23  1.376384123 -0.18537799
    -#> 384      0  0.07050839  0.87813349  18   sp_24  1.376384123 -0.18537799
    -#> 385      0  0.07050839  0.87813349  17   sp_25  1.376384123 -0.18537799
    -#> 386      0  0.07050839  0.87813349   5   sp_26  1.376384123 -0.18537799
    -#> 387      1  0.07050839  0.87813349  20   sp_27  1.376384123 -0.18537799
    -#> 388      0  0.07050839  0.87813349   3   sp_28  1.376384123 -0.18537799
    -#> 389      0  0.07050839  0.87813349  14   sp_29  1.376384123 -0.18537799
    -#> 390      0  0.07050839  0.87813349   1   sp_30  1.376384123 -0.18537799
    -#> 481      0  0.12928774  0.82158108   2    sp_1  1.012519248 -0.07935506
    -#> 482      0  0.12928774  0.82158108   4    sp_2  1.012519248 -0.07935506
    -#> 483      0  0.12928774  0.82158108  10    sp_3  1.012519248 -0.07935506
    -#> 484      0  0.12928774  0.82158108   1    sp_4  1.012519248 -0.07935506
    -#> 485      0  0.12928774  0.82158108   5    sp_5  1.012519248 -0.07935506
    -#> 486      0  0.12928774  0.82158108   8    sp_6  1.012519248 -0.07935506
    -#> 487      0  0.12928774  0.82158108  13    sp_7  1.012519248 -0.07935506
    -#> 488      0  0.12928774  0.82158108  18    sp_8  1.012519248 -0.07935506
    -#> 489      1  0.12928774  0.82158108  10    sp_9  1.012519248 -0.07935506
    -#> 490      0  0.12928774  0.82158108   6   sp_10  1.012519248 -0.07935506
    -#> 491      0  0.12928774  0.82158108   7   sp_11  1.012519248 -0.07935506
    -#> 492      0  0.12928774  0.82158108   9   sp_12  1.012519248 -0.07935506
    -#> 493      0  0.12928774  0.82158108  16   sp_13  1.012519248 -0.07935506
    -#> 494      1  0.12928774  0.82158108  17   sp_14  1.012519248 -0.07935506
    -#> 495      0  0.12928774  0.82158108  13   sp_15  1.012519248 -0.07935506
    -#> 496      0  0.12928774  0.82158108   8   sp_16  1.012519248 -0.07935506
    -#> 497      0  0.12928774  0.82158108   7   sp_17  1.012519248 -0.07935506
    -#> 498      0  0.12928774  0.82158108  20   sp_18  1.012519248 -0.07935506
    -#> 499      0  0.12928774  0.82158108  18   sp_19  1.012519248 -0.07935506
    -#> 500      0  0.12928774  0.82158108  17   sp_20  1.012519248 -0.07935506
    -#> 501      0  0.12928774  0.82158108   1   sp_21  1.012519248 -0.07935506
    -#> 502      0  0.12928774  0.82158108   2   sp_22  1.012519248 -0.07935506
    -#> 503      0  0.12928774  0.82158108  17   sp_23  1.012519248 -0.07935506
    -#> 504      0  0.12928774  0.82158108   2   sp_24  1.012519248 -0.07935506
    -#> 505      0  0.12928774  0.82158108  13   sp_25  1.012519248 -0.07935506
    -#> 506      0  0.12928774  0.82158108  17   sp_26  1.012519248 -0.07935506
    -#> 507      0  0.12928774  0.82158108   3   sp_27  1.012519248 -0.07935506
    -#> 508      0  0.12928774  0.82158108  18   sp_28  1.012519248 -0.07935506
    -#> 509      0  0.12928774  0.82158108   2   sp_29  1.012519248 -0.07935506
    -#> 510      0  0.12928774  0.82158108   5   sp_30  1.012519248 -0.07935506
    -#> 601      1  1.71506499  0.68864025  12    sp_1 -0.539895140  0.70220997
    -#> 602      0  1.71506499  0.68864025  13    sp_2 -0.539895140  0.70220997
    -#> 603      0  1.71506499  0.68864025  10    sp_3 -0.539895140  0.70220997
    -#> 604      1  1.71506499  0.68864025   6    sp_4 -0.539895140  0.70220997
    -#> 605      0  1.71506499  0.68864025  10    sp_5 -0.539895140  0.70220997
    -#> 606      0  1.71506499  0.68864025  10    sp_6 -0.539895140  0.70220997
    -#> 607      1  1.71506499  0.68864025   6    sp_7 -0.539895140  0.70220997
    -#> 608      0  1.71506499  0.68864025  16    sp_8 -0.539895140  0.70220997
    -#> 609      0  1.71506499  0.68864025  16    sp_9 -0.539895140  0.70220997
    -#> 610      0  1.71506499  0.68864025   3   sp_10 -0.539895140  0.70220997
    -#> 611      0  1.71506499  0.68864025   4   sp_11 -0.539895140  0.70220997
    -#> 612      0  1.71506499  0.68864025   3   sp_12 -0.539895140  0.70220997
    -#> 613      0  1.71506499  0.68864025   3   sp_13 -0.539895140  0.70220997
    -#> 614      0  1.71506499  0.68864025  16   sp_14 -0.539895140  0.70220997
    -#> 615      0  1.71506499  0.68864025   2   sp_15 -0.539895140  0.70220997
    -#> 616      1  1.71506499  0.68864025  15   sp_16 -0.539895140  0.70220997
    -#> 617      0  1.71506499  0.68864025   3   sp_17 -0.539895140  0.70220997
    -#> 618      0  1.71506499  0.68864025   9   sp_18 -0.539895140  0.70220997
    -#> 619      0  1.71506499  0.68864025   7   sp_19 -0.539895140  0.70220997
    -#> 620      0  1.71506499  0.68864025   9   sp_20 -0.539895140  0.70220997
    -#> 621      0  1.71506499  0.68864025   4   sp_21 -0.539895140  0.70220997
    -#> 622      0  1.71506499  0.68864025   2   sp_22 -0.539895140  0.70220997
    -#> 623      0  1.71506499  0.68864025  12   sp_23 -0.539895140  0.70220997
    -#> 624      0  1.71506499  0.68864025   9   sp_24 -0.539895140  0.70220997
    -#> 625      0  1.71506499  0.68864025  11   sp_25 -0.539895140  0.70220997
    -#> 626      0  1.71506499  0.68864025   7   sp_26 -0.539895140  0.70220997
    -#> 627      0  1.71506499  0.68864025  13   sp_27 -0.539895140  0.70220997
    -#> 628      0  1.71506499  0.68864025   5   sp_28 -0.539895140  0.70220997
    -#> 629      0  1.71506499  0.68864025  11   sp_29 -0.539895140  0.70220997
    -#> 630      0  1.71506499  0.68864025   1   sp_30 -0.539895140  0.70220997
    -#> 721      0  0.46091621  0.55391765  19    sp_1 -1.072417884  1.02610781
    -#> 722      0  0.46091621  0.55391765  12    sp_2 -1.072417884  1.02610781
    -#> 723      0  0.46091621  0.55391765   2    sp_3 -1.072417884  1.02610781
    -#> 724      1  0.46091621  0.55391765  17    sp_4 -1.072417884  1.02610781
    -#> 725      0  0.46091621  0.55391765  12    sp_5 -1.072417884  1.02610781
    -#> 726      0  0.46091621  0.55391765   3    sp_6 -1.072417884  1.02610781
    -#> 727      0  0.46091621  0.55391765  18    sp_7 -1.072417884  1.02610781
    -#> 728      0  0.46091621  0.55391765  15    sp_8 -1.072417884  1.02610781
    -#> 729      0  0.46091621  0.55391765   3    sp_9 -1.072417884  1.02610781
    -#> 730      0  0.46091621  0.55391765  19   sp_10 -1.072417884  1.02610781
    -#> 731      0  0.46091621  0.55391765  18   sp_11 -1.072417884  1.02610781
    -#> 732      0  0.46091621  0.55391765  17   sp_12 -1.072417884  1.02610781
    -#> 733      0  0.46091621  0.55391765   6   sp_13 -1.072417884  1.02610781
    -#> 734      0  0.46091621  0.55391765  10   sp_14 -1.072417884  1.02610781
    -#> 735      0  0.46091621  0.55391765   8   sp_15 -1.072417884  1.02610781
    -#> 736      0  0.46091621  0.55391765  10   sp_16 -1.072417884  1.02610781
    -#> 737      0  0.46091621  0.55391765  13   sp_17 -1.072417884  1.02610781
    -#> 738      0  0.46091621  0.55391765  20   sp_18 -1.072417884  1.02610781
    -#> 739      0  0.46091621  0.55391765   6   sp_19 -1.072417884  1.02610781
    -#> 740      0  0.46091621  0.55391765  20   sp_20 -1.072417884  1.02610781
    -#> 741      0  0.46091621  0.55391765  20   sp_21 -1.072417884  1.02610781
    -#> 742      0  0.46091621  0.55391765   9   sp_22 -1.072417884  1.02610781
    -#> 743      0  0.46091621  0.55391765  16   sp_23 -1.072417884  1.02610781
    -#> 744      0  0.46091621  0.55391765   8   sp_24 -1.072417884  1.02610781
    -#> 745      0  0.46091621  0.55391765   7   sp_25 -1.072417884  1.02610781
    -#> 746      0  0.46091621  0.55391765  10   sp_26 -1.072417884  1.02610781
    -#> 747      0  0.46091621  0.55391765  17   sp_27 -1.072417884  1.02610781
    -#> 748      0  0.46091621  0.55391765  18   sp_28 -1.072417884  1.02610781
    -#> 749      0  0.46091621  0.55391765   8   sp_29 -1.072417884  1.02610781
    -#> 750      0  0.46091621  0.55391765  19   sp_30 -1.072417884  1.02610781
    -#> 841      1 -1.26506123 -0.06191171  10    sp_1  0.428912684 -0.90487124
    -#> 842      0 -1.26506123 -0.06191171  11    sp_2  0.428912684 -0.90487124
    -#> 843      0 -1.26506123 -0.06191171  17    sp_3  0.428912684 -0.90487124
    -#> 844      0 -1.26506123 -0.06191171  12    sp_4  0.428912684 -0.90487124
    -#> 845      0 -1.26506123 -0.06191171   2    sp_5  0.428912684 -0.90487124
    -#> 846      0 -1.26506123 -0.06191171  19    sp_6  0.428912684 -0.90487124
    -#> 847      0 -1.26506123 -0.06191171  13    sp_7  0.428912684 -0.90487124
    -#> 848      0 -1.26506123 -0.06191171  13    sp_8  0.428912684 -0.90487124
    -#> 849      0 -1.26506123 -0.06191171  19    sp_9  0.428912684 -0.90487124
    -#> 850      1 -1.26506123 -0.06191171  10   sp_10  0.428912684 -0.90487124
    -#> 851      0 -1.26506123 -0.06191171  16   sp_11  0.428912684 -0.90487124
    -#> 852      1 -1.26506123 -0.06191171   5   sp_12  0.428912684 -0.90487124
    -#> 853      0 -1.26506123 -0.06191171   4   sp_13  0.428912684 -0.90487124
    -#> 854      0 -1.26506123 -0.06191171  18   sp_14  0.428912684 -0.90487124
    -#> 855      0 -1.26506123 -0.06191171   1   sp_15  0.428912684 -0.90487124
    -#> 856      0 -1.26506123 -0.06191171  16   sp_16  0.428912684 -0.90487124
    -#> 857      0 -1.26506123 -0.06191171  17   sp_17  0.428912684 -0.90487124
    -#> 858      0 -1.26506123 -0.06191171  12   sp_18  0.428912684 -0.90487124
    -#> 859      0 -1.26506123 -0.06191171   2   sp_19  0.428912684 -0.90487124
    -#> 860      0 -1.26506123 -0.06191171  18   sp_20  0.428912684 -0.90487124
    -#> 861      0 -1.26506123 -0.06191171  12   sp_21  0.428912684 -0.90487124
    -#> 862      0 -1.26506123 -0.06191171  15   sp_22  0.428912684 -0.90487124
    -#> 863      0 -1.26506123 -0.06191171  19   sp_23  0.428912684 -0.90487124
    -#> 864      1 -1.26506123 -0.06191171   6   sp_24  0.428912684 -0.90487124
    -#> 865      0 -1.26506123 -0.06191171  16   sp_25  0.428912684 -0.90487124
    -#> 866      0 -1.26506123 -0.06191171  15   sp_26  0.428912684 -0.90487124
    -#> 867      0 -1.26506123 -0.06191171  19   sp_27  0.428912684 -0.90487124
    -#> 868      0 -1.26506123 -0.06191171   3   sp_28  0.428912684 -0.90487124
    -#> 869      0 -1.26506123 -0.06191171  14   sp_29  0.428912684 -0.90487124
    -#> 870      0 -1.26506123 -0.06191171   1   sp_30  0.428912684 -0.90487124
    -#> 961      1 -0.68685285 -0.30596266   1    sp_1 -0.482457898 -2.17554647
    -#> 962      0 -0.68685285 -0.30596266  16    sp_2 -0.482457898 -2.17554647
    -#> 963      0 -0.68685285 -0.30596266  11    sp_3 -0.482457898 -2.17554647
    -#> 964      1 -0.68685285 -0.30596266   4    sp_4 -0.482457898 -2.17554647
    -#> 965      1 -0.68685285 -0.30596266  12    sp_5 -0.482457898 -2.17554647
    -#> 966      1 -0.68685285 -0.30596266  13    sp_6 -0.482457898 -2.17554647
    -#> 967      0 -0.68685285 -0.30596266  10    sp_7 -0.482457898 -2.17554647
    -#> 968      0 -0.68685285 -0.30596266  10    sp_8 -0.482457898 -2.17554647
    -#> 969      0 -0.68685285 -0.30596266   7    sp_9 -0.482457898 -2.17554647
    -#> 970      0 -0.68685285 -0.30596266  18   sp_10 -0.482457898 -2.17554647
    -#> 971      0 -0.68685285 -0.30596266  17   sp_11 -0.482457898 -2.17554647
    -#> 972      1 -0.68685285 -0.30596266  20   sp_12 -0.482457898 -2.17554647
    -#> 973      1 -0.68685285 -0.30596266   9   sp_13 -0.482457898 -2.17554647
    -#> 974      1 -0.68685285 -0.30596266  11   sp_14 -0.482457898 -2.17554647
    -#> 975      1 -0.68685285 -0.30596266  12   sp_15 -0.482457898 -2.17554647
    -#> 976      0 -0.68685285 -0.30596266   8   sp_16 -0.482457898 -2.17554647
    -#> 977      0 -0.68685285 -0.30596266  18   sp_17 -0.482457898 -2.17554647
    -#> 978      0 -0.68685285 -0.30596266   5   sp_18 -0.482457898 -2.17554647
    -#> 979      0 -0.68685285 -0.30596266  18   sp_19 -0.482457898 -2.17554647
    -#> 980      0 -0.68685285 -0.30596266   6   sp_20 -0.482457898 -2.17554647
    -#> 981      0 -0.68685285 -0.30596266  10   sp_21 -0.482457898 -2.17554647
    -#> 982      0 -0.68685285 -0.30596266   9   sp_22 -0.482457898 -2.17554647
    -#> 983      1 -0.68685285 -0.30596266  11   sp_23 -0.482457898 -2.17554647
    -#> 984      0 -0.68685285 -0.30596266   6   sp_24 -0.482457898 -2.17554647
    -#> 985      0 -0.68685285 -0.30596266  12   sp_25 -0.482457898 -2.17554647
    -#> 986      0 -0.68685285 -0.30596266  19   sp_26 -0.482457898 -2.17554647
    -#> 987      0 -0.68685285 -0.30596266   4   sp_27 -0.482457898 -2.17554647
    -#> 988      0 -0.68685285 -0.30596266   3   sp_28 -0.482457898 -2.17554647
    -#> 989      0 -0.68685285 -0.30596266  14   sp_29 -0.482457898 -2.17554647
    -#> 990      1 -0.68685285 -0.30596266   8   sp_30 -0.482457898 -2.17554647
    -#> 1081     0 -0.44566197 -0.38047100   6    sp_1 -0.090646571  0.82760513
    -#> 1082     0 -0.44566197 -0.38047100   4    sp_2 -0.090646571  0.82760513
    -#> 1083     1 -0.44566197 -0.38047100  10    sp_3 -0.090646571  0.82760513
    -#> 1084     0 -0.44566197 -0.38047100  16    sp_4 -0.090646571  0.82760513
    -#> 1085     0 -0.44566197 -0.38047100  16    sp_5 -0.090646571  0.82760513
    -#> 1086     0 -0.44566197 -0.38047100  20    sp_6 -0.090646571  0.82760513
    -#> 1087     0 -0.44566197 -0.38047100  10    sp_7 -0.090646571  0.82760513
    -#> 1088     0 -0.44566197 -0.38047100   6    sp_8 -0.090646571  0.82760513
    -#> 1089     0 -0.44566197 -0.38047100  19    sp_9 -0.090646571  0.82760513
    -#> 1090     0 -0.44566197 -0.38047100   4   sp_10 -0.090646571  0.82760513
    -#> 1091     0 -0.44566197 -0.38047100   9   sp_11 -0.090646571  0.82760513
    -#> 1092     0 -0.44566197 -0.38047100   4   sp_12 -0.090646571  0.82760513
    -#> 1093     0 -0.44566197 -0.38047100  15   sp_13 -0.090646571  0.82760513
    -#> 1094     0 -0.44566197 -0.38047100  20   sp_14 -0.090646571  0.82760513
    -#> 1095     0 -0.44566197 -0.38047100  17   sp_15 -0.090646571  0.82760513
    -#> 1096     0 -0.44566197 -0.38047100   7   sp_16 -0.090646571  0.82760513
    -#> 1097     0 -0.44566197 -0.38047100  15   sp_17 -0.090646571  0.82760513
    -#> 1098     0 -0.44566197 -0.38047100   5   sp_18 -0.090646571  0.82760513
    -#> 1099     0 -0.44566197 -0.38047100  14   sp_19 -0.090646571  0.82760513
    -#> 1100     0 -0.44566197 -0.38047100  15   sp_20 -0.090646571  0.82760513
    -#> 1101     1 -0.44566197 -0.38047100  15   sp_21 -0.090646571  0.82760513
    -#> 1102     0 -0.44566197 -0.38047100  16   sp_22 -0.090646571  0.82760513
    -#> 1103     0 -0.44566197 -0.38047100  19   sp_23 -0.090646571  0.82760513
    -#> 1104     0 -0.44566197 -0.38047100   8   sp_24 -0.090646571  0.82760513
    -#> 1105     0 -0.44566197 -0.38047100   5   sp_25 -0.090646571  0.82760513
    -#> 1106     0 -0.44566197 -0.38047100   7   sp_26 -0.090646571  0.82760513
    -#> 1107     0 -0.44566197 -0.38047100  20   sp_27 -0.090646571  0.82760513
    -#> 1108     0 -0.44566197 -0.38047100  16   sp_28 -0.090646571  0.82760513
    -#> 1109     0 -0.44566197 -0.38047100  16   sp_29 -0.090646571  0.82760513
    -#> 1110     0 -0.44566197 -0.38047100   9   sp_30 -0.090646571  0.82760513
    -#> 1201     1  1.22408180 -0.69470698  11    sp_1  0.791847550 -1.27168186
    -#> 1202     1  1.22408180 -0.69470698  11    sp_2  0.791847550 -1.27168186
    -#> 1203     1  1.22408180 -0.69470698  19    sp_3  0.791847550 -1.27168186
    -#> 1204     1  1.22408180 -0.69470698  10    sp_4  0.791847550 -1.27168186
    -#> 1205     0  1.22408180 -0.69470698   2    sp_5  0.791847550 -1.27168186
    -#> 1206     0  1.22408180 -0.69470698   6    sp_6  0.791847550 -1.27168186
    -#> 1207     0  1.22408180 -0.69470698  20    sp_7  0.791847550 -1.27168186
    -#> 1208     0  1.22408180 -0.69470698  14    sp_8  0.791847550 -1.27168186
    -#> 1209     0  1.22408180 -0.69470698  14    sp_9  0.791847550 -1.27168186
    -#> 1210     1  1.22408180 -0.69470698   6   sp_10  0.791847550 -1.27168186
    -#> 1211     0  1.22408180 -0.69470698  18   sp_11  0.791847550 -1.27168186
    -#> 1212     0  1.22408180 -0.69470698   2   sp_12  0.791847550 -1.27168186
    -#> 1213     1  1.22408180 -0.69470698   8   sp_13  0.791847550 -1.27168186
    -#> 1214     1  1.22408180 -0.69470698  11   sp_14  0.791847550 -1.27168186
    -#> 1215     1  1.22408180 -0.69470698   7   sp_15  0.791847550 -1.27168186
    -#> 1216     1  1.22408180 -0.69470698  19   sp_16  0.791847550 -1.27168186
    -#> 1217     0  1.22408180 -0.69470698   8   sp_17  0.791847550 -1.27168186
    -#> 1218     1  1.22408180 -0.69470698  10   sp_18  0.791847550 -1.27168186
    -#> 1219     1  1.22408180 -0.69470698   5   sp_19  0.791847550 -1.27168186
    -#> 1220     1  1.22408180 -0.69470698  17   sp_20  0.791847550 -1.27168186
    -#> 1221     1  1.22408180 -0.69470698   6   sp_21  0.791847550 -1.27168186
    -#> 1222     1  1.22408180 -0.69470698   8   sp_22  0.791847550 -1.27168186
    -#> 1223     0  1.22408180 -0.69470698  20   sp_23  0.791847550 -1.27168186
    -#> 1224     1  1.22408180 -0.69470698   6   sp_24  0.791847550 -1.27168186
    -#> 1225     1  1.22408180 -0.69470698  15   sp_25  0.791847550 -1.27168186
    -#> 1226     0  1.22408180 -0.69470698  17   sp_26  0.791847550 -1.27168186
    -#> 1227     0  1.22408180 -0.69470698   3   sp_27  0.791847550 -1.27168186
    -#> 1228     0  1.22408180 -0.69470698  15   sp_28  0.791847550 -1.27168186
    -#> 1229     1  1.22408180 -0.69470698  20   sp_29  0.791847550 -1.27168186
    -#> 1230     1  1.22408180 -0.69470698   1   sp_30  0.791847550 -1.27168186
    -#> 1321     0  0.35981383 -0.20791728   5    sp_1  0.068754653  0.07194716
    -#> 1322     0  0.35981383 -0.20791728  11    sp_2  0.068754653  0.07194716
    -#> 1323     0  0.35981383 -0.20791728  15    sp_3  0.068754653  0.07194716
    -#> 1324     0  0.35981383 -0.20791728  20    sp_4  0.068754653  0.07194716
    -#> 1325     0  0.35981383 -0.20791728   2    sp_5  0.068754653  0.07194716
    -#> 1326     0  0.35981383 -0.20791728  16    sp_6  0.068754653  0.07194716
    -#> 1327     0  0.35981383 -0.20791728  19    sp_7  0.068754653  0.07194716
    -#> 1328     0  0.35981383 -0.20791728  10    sp_8  0.068754653  0.07194716
    -#> 1329     0  0.35981383 -0.20791728  19    sp_9  0.068754653  0.07194716
    -#> 1330     1  0.35981383 -0.20791728  17   sp_10  0.068754653  0.07194716
    -#> 1331     0  0.35981383 -0.20791728   7   sp_11  0.068754653  0.07194716
    -#> 1332     0  0.35981383 -0.20791728   6   sp_12  0.068754653  0.07194716
    -#> 1333     0  0.35981383 -0.20791728  12   sp_13  0.068754653  0.07194716
    -#> 1334     0  0.35981383 -0.20791728   4   sp_14  0.068754653  0.07194716
    -#> 1335     0  0.35981383 -0.20791728  19   sp_15  0.068754653  0.07194716
    -#> 1336     1  0.35981383 -0.20791728   2   sp_16  0.068754653  0.07194716
    -#> 1337     0  0.35981383 -0.20791728   4   sp_17  0.068754653  0.07194716
    -#> 1338     0  0.35981383 -0.20791728  11   sp_18  0.068754653  0.07194716
    -#> 1339     0  0.35981383 -0.20791728   1   sp_19  0.068754653  0.07194716
    -#> 1340     0  0.35981383 -0.20791728  19   sp_20  0.068754653  0.07194716
    -#> 1341     1  0.35981383 -0.20791728  18   sp_21  0.068754653  0.07194716
    -#> 1342     0  0.35981383 -0.20791728  16   sp_22  0.068754653  0.07194716
    -#> 1343     0  0.35981383 -0.20791728   3   sp_23  0.068754653  0.07194716
    -#> 1344     0  0.35981383 -0.20791728   1   sp_24  0.068754653  0.07194716
    -#> 1345     1  0.35981383 -0.20791728   2   sp_25  0.068754653  0.07194716
    -#> 1346     0  0.35981383 -0.20791728   2   sp_26  0.068754653  0.07194716
    -#> 1347     0  0.35981383 -0.20791728   8   sp_27  0.068754653  0.07194716
    -#> 1348     0  0.35981383 -0.20791728  20   sp_28  0.068754653  0.07194716
    -#> 1349     0  0.35981383 -0.20791728  14   sp_29  0.068754653  0.07194716
    -#> 1350     0  0.35981383 -0.20791728  13   sp_30  0.068754653  0.07194716
    -#> 1441     0  0.40077145 -1.26539635   7    sp_1 -0.613966444 -1.18393872
    -#> 1442     0  0.40077145 -1.26539635   8    sp_2 -0.613966444 -1.18393872
    -#> 1443     1  0.40077145 -1.26539635   3    sp_3 -0.613966444 -1.18393872
    -#> 1444     0  0.40077145 -1.26539635  16    sp_4 -0.613966444 -1.18393872
    -#> 1445     1  0.40077145 -1.26539635   1    sp_5 -0.613966444 -1.18393872
    -#> 1446     1  0.40077145 -1.26539635  12    sp_6 -0.613966444 -1.18393872
    -#> 1447     0  0.40077145 -1.26539635  18    sp_7 -0.613966444 -1.18393872
    -#> 1448     0  0.40077145 -1.26539635  14    sp_8 -0.613966444 -1.18393872
    -#> 1449     0  0.40077145 -1.26539635   8    sp_9 -0.613966444 -1.18393872
    -#> 1450     1  0.40077145 -1.26539635   5   sp_10 -0.613966444 -1.18393872
    -#> 1451     0  0.40077145 -1.26539635  17   sp_11 -0.613966444 -1.18393872
    -#> 1452     1  0.40077145 -1.26539635  11   sp_12 -0.613966444 -1.18393872
    -#> 1453     0  0.40077145 -1.26539635   4   sp_13 -0.613966444 -1.18393872
    -#> 1454     1  0.40077145 -1.26539635  13   sp_14 -0.613966444 -1.18393872
    -#> 1455     1  0.40077145 -1.26539635   8   sp_15 -0.613966444 -1.18393872
    -#> 1456     1  0.40077145 -1.26539635  15   sp_16 -0.613966444 -1.18393872
    -#> 1457     1  0.40077145 -1.26539635   4   sp_17 -0.613966444 -1.18393872
    -#> 1458     0  0.40077145 -1.26539635  13   sp_18 -0.613966444 -1.18393872
    -#> 1459     1  0.40077145 -1.26539635   3   sp_19 -0.613966444 -1.18393872
    -#> 1460     0  0.40077145 -1.26539635   7   sp_20 -0.613966444 -1.18393872
    -#> 1461     1  0.40077145 -1.26539635   1   sp_21 -0.613966444 -1.18393872
    -#> 1462     0  0.40077145 -1.26539635   6   sp_22 -0.613966444 -1.18393872
    -#> 1463     1  0.40077145 -1.26539635  13   sp_23 -0.613966444 -1.18393872
    -#> 1464     1  0.40077145 -1.26539635  17   sp_24 -0.613966444 -1.18393872
    -#> 1465     0  0.40077145 -1.26539635   6   sp_25 -0.613966444 -1.18393872
    -#> 1466     1  0.40077145 -1.26539635  10   sp_26 -0.613966444 -1.18393872
    -#> 1467     0  0.40077145 -1.26539635  13   sp_27 -0.613966444 -1.18393872
    -#> 1468     0  0.40077145 -1.26539635   6   sp_28 -0.613966444 -1.18393872
    -#> 1469     0  0.40077145 -1.26539635   9   sp_29 -0.613966444 -1.18393872
    -#> 1470     0  0.40077145 -1.26539635   8   sp_30 -0.613966444 -1.18393872
    -#> 1561     0  0.11068272  2.16895597   1    sp_1 -0.714181239  0.13138207
    -#> 1562     1  0.11068272  2.16895597  16    sp_2 -0.714181239  0.13138207
    -#> 1563     0  0.11068272  2.16895597   2    sp_3 -0.714181239  0.13138207
    -#> 1564     0  0.11068272  2.16895597   8    sp_4 -0.714181239  0.13138207
    -#> 1565     0  0.11068272  2.16895597  14    sp_5 -0.714181239  0.13138207
    -#> 1566     0  0.11068272  2.16895597  12    sp_6 -0.714181239  0.13138207
    -#> 1567     0  0.11068272  2.16895597   8    sp_7 -0.714181239  0.13138207
    -#> 1568     0  0.11068272  2.16895597   9    sp_8 -0.714181239  0.13138207
    -#> 1569     0  0.11068272  2.16895597   8    sp_9 -0.714181239  0.13138207
    -#> 1570     0  0.11068272  2.16895597   9   sp_10 -0.714181239  0.13138207
    -#> 1571     0  0.11068272  2.16895597  20   sp_11 -0.714181239  0.13138207
    -#> 1572     0  0.11068272  2.16895597   1   sp_12 -0.714181239  0.13138207
    -#> 1573     0  0.11068272  2.16895597   3   sp_13 -0.714181239  0.13138207
    -#> 1574     0  0.11068272  2.16895597   8   sp_14 -0.714181239  0.13138207
    -#> 1575     0  0.11068272  2.16895597   2   sp_15 -0.714181239  0.13138207
    -#> 1576     0  0.11068272  2.16895597   1   sp_16 -0.714181239  0.13138207
    -#> 1577     0  0.11068272  2.16895597   9   sp_17 -0.714181239  0.13138207
    -#> 1578     0  0.11068272  2.16895597   7   sp_18 -0.714181239  0.13138207
    -#> 1579     0  0.11068272  2.16895597  13   sp_19 -0.714181239  0.13138207
    -#> 1580     0  0.11068272  2.16895597  20   sp_20 -0.714181239  0.13138207
    -#> 1581     0  0.11068272  2.16895597  14   sp_21 -0.714181239  0.13138207
    -#> 1582     0  0.11068272  2.16895597  16   sp_22 -0.714181239  0.13138207
    -#> 1583     0  0.11068272  2.16895597   7   sp_23 -0.714181239  0.13138207
    -#> 1584     0  0.11068272  2.16895597   4   sp_24 -0.714181239  0.13138207
    -#> 1585     0  0.11068272  2.16895597  13   sp_25 -0.714181239  0.13138207
    -#> 1586     0  0.11068272  2.16895597  12   sp_26 -0.714181239  0.13138207
    -#> 1587     0  0.11068272  2.16895597  13   sp_27 -0.714181239  0.13138207
    -#> 1588     0  0.11068272  2.16895597  20   sp_28 -0.714181239  0.13138207
    -#> 1589     0  0.11068272  2.16895597  10   sp_29 -0.714181239  0.13138207
    -#> 1590     0  0.11068272  2.16895597   9   sp_30 -0.714181239  0.13138207
    -#> 1681     0 -0.55584113  1.20796200  12    sp_1  0.324249513 -0.14985243
    -#> 1682     0 -0.55584113  1.20796200   8    sp_2  0.324249513 -0.14985243
    -#> 1683     0 -0.55584113  1.20796200   7    sp_3  0.324249513 -0.14985243
    -#> 1684     0 -0.55584113  1.20796200  15    sp_4  0.324249513 -0.14985243
    -#> 1685     0 -0.55584113  1.20796200  19    sp_5  0.324249513 -0.14985243
    -#> 1686     0 -0.55584113  1.20796200  17    sp_6  0.324249513 -0.14985243
    -#> 1687     0 -0.55584113  1.20796200  11    sp_7  0.324249513 -0.14985243
    -#> 1688     0 -0.55584113  1.20796200   7    sp_8  0.324249513 -0.14985243
    -#> 1689     0 -0.55584113  1.20796200  19    sp_9  0.324249513 -0.14985243
    -#> 1690     0 -0.55584113  1.20796200   3   sp_10  0.324249513 -0.14985243
    -#> 1691     0 -0.55584113  1.20796200   6   sp_11  0.324249513 -0.14985243
    -#> 1692     0 -0.55584113  1.20796200   7   sp_12  0.324249513 -0.14985243
    -#> 1693     0 -0.55584113  1.20796200   4   sp_13  0.324249513 -0.14985243
    -#> 1694     1 -0.55584113  1.20796200  10   sp_14  0.324249513 -0.14985243
    -#> 1695     0 -0.55584113  1.20796200  17   sp_15  0.324249513 -0.14985243
    -#> 1696     0 -0.55584113  1.20796200  16   sp_16  0.324249513 -0.14985243
    -#> 1697     0 -0.55584113  1.20796200   8   sp_17  0.324249513 -0.14985243
    -#> 1698     0 -0.55584113  1.20796200   3   sp_18  0.324249513 -0.14985243
    -#> 1699     0 -0.55584113  1.20796200  12   sp_19  0.324249513 -0.14985243
    -#> 1700     0 -0.55584113  1.20796200  14   sp_20  0.324249513 -0.14985243
    -#> 1701     0 -0.55584113  1.20796200   5   sp_21  0.324249513 -0.14985243
    -#> 1702     0 -0.55584113  1.20796200  14   sp_22  0.324249513 -0.14985243
    -#> 1703     0 -0.55584113  1.20796200   6   sp_23  0.324249513 -0.14985243
    -#> 1704     0 -0.55584113  1.20796200   9   sp_24  0.324249513 -0.14985243
    -#> 1705     0 -0.55584113  1.20796200   1   sp_25  0.324249513 -0.14985243
    -#> 1706     0 -0.55584113  1.20796200  20   sp_26  0.324249513 -0.14985243
    -#> 1707     0 -0.55584113  1.20796200  14   sp_27  0.324249513 -0.14985243
    -#> 1708     0 -0.55584113  1.20796200  19   sp_28  0.324249513 -0.14985243
    -#> 1709     0 -0.55584113  1.20796200   5   sp_29  0.324249513 -0.14985243
    -#> 1710     0 -0.55584113  1.20796200   2   sp_30  0.324249513 -0.14985243
    -#> 1801     0  1.78691314 -1.12310858   1    sp_1  0.343282350  1.41604345
    -#> 1802     0  1.78691314 -1.12310858  20    sp_2  0.343282350  1.41604345
    -#> 1803     0  1.78691314 -1.12310858   4    sp_3  0.343282350  1.41604345
    -#> 1804     0  1.78691314 -1.12310858  11    sp_4  0.343282350  1.41604345
    -#> 1805     1  1.78691314 -1.12310858   5    sp_5  0.343282350  1.41604345
    -#> 1806     0  1.78691314 -1.12310858   4    sp_6  0.343282350  1.41604345
    -#> 1807     0  1.78691314 -1.12310858  19    sp_7  0.343282350  1.41604345
    -#> 1808     0  1.78691314 -1.12310858   3    sp_8  0.343282350  1.41604345
    -#> 1809     0  1.78691314 -1.12310858   1    sp_9  0.343282350  1.41604345
    -#> 1810     0  1.78691314 -1.12310858   7   sp_10  0.343282350  1.41604345
    -#> 1811     1  1.78691314 -1.12310858   5   sp_11  0.343282350  1.41604345
    -#> 1812     0  1.78691314 -1.12310858   9   sp_12  0.343282350  1.41604345
    -#> 1813     0  1.78691314 -1.12310858  17   sp_13  0.343282350  1.41604345
    -#> 1814     1  1.78691314 -1.12310858   5   sp_14  0.343282350  1.41604345
    -#> 1815     0  1.78691314 -1.12310858  12   sp_15  0.343282350  1.41604345
    -#> 1816     0  1.78691314 -1.12310858   2   sp_16  0.343282350  1.41604345
    -#> 1817     1  1.78691314 -1.12310858  18   sp_17  0.343282350  1.41604345
    -#> 1818     0  1.78691314 -1.12310858   4   sp_18  0.343282350  1.41604345
    -#> 1819     1  1.78691314 -1.12310858  10   sp_19  0.343282350  1.41604345
    -#> 1820     0  1.78691314 -1.12310858  15   sp_20  0.343282350  1.41604345
    -#> 1821     0  1.78691314 -1.12310858   8   sp_21  0.343282350  1.41604345
    -#> 1822     0  1.78691314 -1.12310858   1   sp_22  0.343282350  1.41604345
    -#> 1823     0  1.78691314 -1.12310858  11   sp_23  0.343282350  1.41604345
    -#> 1824     0  1.78691314 -1.12310858   5   sp_24  0.343282350  1.41604345
    -#> 1825     1  1.78691314 -1.12310858  11   sp_25  0.343282350  1.41604345
    -#> 1826     1  1.78691314 -1.12310858  15   sp_26  0.343282350  1.41604345
    -#> 1827     0  1.78691314 -1.12310858  15   sp_27  0.343282350  1.41604345
    -#> 1828     1  1.78691314 -1.12310858  10   sp_28  0.343282350  1.41604345
    -#> 1829     0  1.78691314 -1.12310858  15   sp_29  0.343282350  1.41604345
    -#> 1830     0  1.78691314 -1.12310858  15   sp_30  0.343282350  1.41604345
    -#> 1921     0  0.49785048 -0.40288484  20    sp_1 -0.439619408 -0.09657875
    -#> 1922     0  0.49785048 -0.40288484  12    sp_2 -0.439619408 -0.09657875
    -#> 1923     0  0.49785048 -0.40288484   9    sp_3 -0.439619408 -0.09657875
    -#> 1924     0  0.49785048 -0.40288484   4    sp_4 -0.439619408 -0.09657875
    -#> 1925     0  0.49785048 -0.40288484   3    sp_5 -0.439619408 -0.09657875
    -#> 1926     0  0.49785048 -0.40288484   7    sp_6 -0.439619408 -0.09657875
    -#> 1927     0  0.49785048 -0.40288484   4    sp_7 -0.439619408 -0.09657875
    -#> 1928     0  0.49785048 -0.40288484   8    sp_8 -0.439619408 -0.09657875
    -#> 1929     0  0.49785048 -0.40288484   5    sp_9 -0.439619408 -0.09657875
    -#> 1930     0  0.49785048 -0.40288484   6   sp_10 -0.439619408 -0.09657875
    -#> 1931     1  0.49785048 -0.40288484   4   sp_11 -0.439619408 -0.09657875
    -#> 1932     1  0.49785048 -0.40288484   3   sp_12 -0.439619408 -0.09657875
    -#> 1933     0  0.49785048 -0.40288484  11   sp_13 -0.439619408 -0.09657875
    -#> 1934     0  0.49785048 -0.40288484  10   sp_14 -0.439619408 -0.09657875
    -#> 1935     0  0.49785048 -0.40288484   5   sp_15 -0.439619408 -0.09657875
    -#> 1936     0  0.49785048 -0.40288484  11   sp_16 -0.439619408 -0.09657875
    -#> 1937     0  0.49785048 -0.40288484  10   sp_17 -0.439619408 -0.09657875
    -#> 1938     1  0.49785048 -0.40288484  15   sp_18 -0.439619408 -0.09657875
    -#> 1939     1  0.49785048 -0.40288484  19   sp_19 -0.439619408 -0.09657875
    -#> 1940     0  0.49785048 -0.40288484  10   sp_20 -0.439619408 -0.09657875
    -#> 1941     0  0.49785048 -0.40288484  13   sp_21 -0.439619408 -0.09657875
    -#> 1942     0  0.49785048 -0.40288484   3   sp_22 -0.439619408 -0.09657875
    -#> 1943     0  0.49785048 -0.40288484  18   sp_23 -0.439619408 -0.09657875
    -#> 1944     0  0.49785048 -0.40288484  10   sp_24 -0.439619408 -0.09657875
    -#> 1945     0  0.49785048 -0.40288484   8   sp_25 -0.439619408 -0.09657875
    -#> 1946     1  0.49785048 -0.40288484  12   sp_26 -0.439619408 -0.09657875
    -#> 1947     0  0.49785048 -0.40288484  10   sp_27 -0.439619408 -0.09657875
    -#> 1948     0  0.49785048 -0.40288484   7   sp_28 -0.439619408 -0.09657875
    -#> 1949     0  0.49785048 -0.40288484   7   sp_29 -0.439619408 -0.09657875
    -#> 1950     0  0.49785048 -0.40288484   6   sp_30 -0.439619408 -0.09657875
    -#> 2041     0 -1.96661716 -0.46665535  17    sp_1  0.345096720 -0.55778849
    -#> 2042     0 -1.96661716 -0.46665535  20    sp_2  0.345096720 -0.55778849
    -#> 2043     0 -1.96661716 -0.46665535   1    sp_3  0.345096720 -0.55778849
    -#> 2044     0 -1.96661716 -0.46665535   5    sp_4  0.345096720 -0.55778849
    -#> 2045     0 -1.96661716 -0.46665535  10    sp_5  0.345096720 -0.55778849
    -#> 2046     0 -1.96661716 -0.46665535  13    sp_6  0.345096720 -0.55778849
    -#> 2047     0 -1.96661716 -0.46665535  10    sp_7  0.345096720 -0.55778849
    -#> 2048     0 -1.96661716 -0.46665535   2    sp_8  0.345096720 -0.55778849
    -#> 2049     1 -1.96661716 -0.46665535  15    sp_9  0.345096720 -0.55778849
    -#> 2050     0 -1.96661716 -0.46665535  15   sp_10  0.345096720 -0.55778849
    -#> 2051     0 -1.96661716 -0.46665535   8   sp_11  0.345096720 -0.55778849
    -#> 2052     0 -1.96661716 -0.46665535   3   sp_12  0.345096720 -0.55778849
    -#> 2053     0 -1.96661716 -0.46665535   2   sp_13  0.345096720 -0.55778849
    -#> 2054     0 -1.96661716 -0.46665535   6   sp_14  0.345096720 -0.55778849
    -#> 2055     0 -1.96661716 -0.46665535  14   sp_15  0.345096720 -0.55778849
    -#> 2056     0 -1.96661716 -0.46665535  15   sp_16  0.345096720 -0.55778849
    -#> 2057     0 -1.96661716 -0.46665535  19   sp_17  0.345096720 -0.55778849
    -#> 2058     0 -1.96661716 -0.46665535   9   sp_18  0.345096720 -0.55778849
    -#> 2059     0 -1.96661716 -0.46665535  15   sp_19  0.345096720 -0.55778849
    -#> 2060     0 -1.96661716 -0.46665535  16   sp_20  0.345096720 -0.55778849
    -#> 2061     0 -1.96661716 -0.46665535   8   sp_21  0.345096720 -0.55778849
    -#> 2062     0 -1.96661716 -0.46665535   9   sp_22  0.345096720 -0.55778849
    -#> 2063     0 -1.96661716 -0.46665535  16   sp_23  0.345096720 -0.55778849
    -#> 2064     0 -1.96661716 -0.46665535   9   sp_24  0.345096720 -0.55778849
    -#> 2065     0 -1.96661716 -0.46665535   2   sp_25  0.345096720 -0.55778849
    -#> 2066     0 -1.96661716 -0.46665535   9   sp_26  0.345096720 -0.55778849
    -#> 2067     0 -1.96661716 -0.46665535  11   sp_27  0.345096720 -0.55778849
    -#> 2068     0 -1.96661716 -0.46665535  11   sp_28  0.345096720 -0.55778849
    -#> 2069     0 -1.96661716 -0.46665535   4   sp_29  0.345096720 -0.55778849
    -#> 2070     0 -1.96661716 -0.46665535   7   sp_30  0.345096720 -0.55778849
    -#> 2161     0  0.70135590  0.77996512  18    sp_1 -0.919759738 -0.31845834
    -#> 2162     0  0.70135590  0.77996512  11    sp_2 -0.919759738 -0.31845834
    -#> 2163     0  0.70135590  0.77996512   1    sp_3 -0.919759738 -0.31845834
    -#> 2164     0  0.70135590  0.77996512  11    sp_4 -0.919759738 -0.31845834
    -#> 2165     0  0.70135590  0.77996512   6    sp_5 -0.919759738 -0.31845834
    -#> 2166     0  0.70135590  0.77996512  10    sp_6 -0.919759738 -0.31845834
    -#> 2167     0  0.70135590  0.77996512  18    sp_7 -0.919759738 -0.31845834
    -#> 2168     0  0.70135590  0.77996512   3    sp_8 -0.919759738 -0.31845834
    -#> 2169     0  0.70135590  0.77996512   3    sp_9 -0.919759738 -0.31845834
    -#> 2170     0  0.70135590  0.77996512   2   sp_10 -0.919759738 -0.31845834
    -#> 2171     1  0.70135590  0.77996512   8   sp_11 -0.919759738 -0.31845834
    -#> 2172     0  0.70135590  0.77996512  13   sp_12 -0.919759738 -0.31845834
    -#> 2173     0  0.70135590  0.77996512   8   sp_13 -0.919759738 -0.31845834
    -#> 2174     1  0.70135590  0.77996512   2   sp_14 -0.919759738 -0.31845834
    -#> 2175     0  0.70135590  0.77996512   6   sp_15 -0.919759738 -0.31845834
    -#> 2176     0  0.70135590  0.77996512  17   sp_16 -0.919759738 -0.31845834
    -#> 2177     0  0.70135590  0.77996512  14   sp_17 -0.919759738 -0.31845834
    -#> 2178     0  0.70135590  0.77996512   7   sp_18 -0.919759738 -0.31845834
    -#> 2179     0  0.70135590  0.77996512  13   sp_19 -0.919759738 -0.31845834
    -#> 2180     0  0.70135590  0.77996512   8   sp_20 -0.919759738 -0.31845834
    -#> 2181     0  0.70135590  0.77996512   6   sp_21 -0.919759738 -0.31845834
    -#> 2182     0  0.70135590  0.77996512  11   sp_22 -0.919759738 -0.31845834
    -#> 2183     0  0.70135590  0.77996512  10   sp_23 -0.919759738 -0.31845834
    -#> 2184     0  0.70135590  0.77996512  17   sp_24 -0.919759738 -0.31845834
    -#> 2185     0  0.70135590  0.77996512   7   sp_25 -0.919759738 -0.31845834
    -#> 2186     0  0.70135590  0.77996512  12   sp_26 -0.919759738 -0.31845834
    -#> 2187     0  0.70135590  0.77996512  19   sp_27 -0.919759738 -0.31845834
    -#> 2188     0  0.70135590  0.77996512  17   sp_28 -0.919759738 -0.31845834
    -#> 2189     0  0.70135590  0.77996512   8   sp_29 -0.919759738 -0.31845834
    -#> 2190     0  0.70135590  0.77996512  15   sp_30 -0.919759738 -0.31845834
    -#> 2281     1 -0.47279141 -0.08336907  14    sp_1  1.783110817 -0.22054191
    -#> 2282     0 -0.47279141 -0.08336907  14    sp_2  1.783110817 -0.22054191
    -#> 2283     0 -0.47279141 -0.08336907  17    sp_3  1.783110817 -0.22054191
    -#> 2284     1 -0.47279141 -0.08336907   1    sp_4  1.783110817 -0.22054191
    -#> 2285     0 -0.47279141 -0.08336907  18    sp_5  1.783110817 -0.22054191
    -#> 2286     0 -0.47279141 -0.08336907  18    sp_6  1.783110817 -0.22054191
    -#> 2287     0 -0.47279141 -0.08336907  20    sp_7  1.783110817 -0.22054191
    -#> 2288     0 -0.47279141 -0.08336907  10    sp_8  1.783110817 -0.22054191
    -#> 2289     1 -0.47279141 -0.08336907  10    sp_9  1.783110817 -0.22054191
    -#> 2290     0 -0.47279141 -0.08336907   9   sp_10  1.783110817 -0.22054191
    -#> 2291     1 -0.47279141 -0.08336907  19   sp_11  1.783110817 -0.22054191
    -#> 2292     0 -0.47279141 -0.08336907  18   sp_12  1.783110817 -0.22054191
    -#> 2293     0 -0.47279141 -0.08336907  18   sp_13  1.783110817 -0.22054191
    -#> 2294     1 -0.47279141 -0.08336907  12   sp_14  1.783110817 -0.22054191
    -#> 2295     1 -0.47279141 -0.08336907  12   sp_15  1.783110817 -0.22054191
    -#> 2296     0 -0.47279141 -0.08336907   4   sp_16  1.783110817 -0.22054191
    -#> 2297     0 -0.47279141 -0.08336907  20   sp_17  1.783110817 -0.22054191
    -#> 2298     1 -0.47279141 -0.08336907  10   sp_18  1.783110817 -0.22054191
    -#> 2299     0 -0.47279141 -0.08336907   5   sp_19  1.783110817 -0.22054191
    -#> 2300     1 -0.47279141 -0.08336907   2   sp_20  1.783110817 -0.22054191
    -#> 2301     0 -0.47279141 -0.08336907  18   sp_21  1.783110817 -0.22054191
    -#> 2302     1 -0.47279141 -0.08336907  12   sp_22  1.783110817 -0.22054191
    -#> 2303     0 -0.47279141 -0.08336907  13   sp_23  1.783110817 -0.22054191
    -#> 2304     0 -0.47279141 -0.08336907  11   sp_24  1.783110817 -0.22054191
    -#> 2305     0 -0.47279141 -0.08336907  19   sp_25  1.783110817 -0.22054191
    -#> 2306     0 -0.47279141 -0.08336907   6   sp_26  1.783110817 -0.22054191
    -#> 2307     0 -0.47279141 -0.08336907  18   sp_27  1.783110817 -0.22054191
    -#> 2308     0 -0.47279141 -0.08336907  10   sp_28  1.783110817 -0.22054191
    -#> 2309     0 -0.47279141 -0.08336907   9   sp_29  1.783110817 -0.22054191
    -#> 2310     0 -0.47279141 -0.08336907   3   sp_30  1.783110817 -0.22054191
    -#> 2401     0 -1.06782371  0.25331851  19    sp_1 -1.421711896 -0.57964814
    -#> 2402     0 -1.06782371  0.25331851   8    sp_2 -1.421711896 -0.57964814
    -#> 2403     0 -1.06782371  0.25331851  13    sp_3 -1.421711896 -0.57964814
    -#> 2404     0 -1.06782371  0.25331851   1    sp_4 -1.421711896 -0.57964814
    -#> 2405     0 -1.06782371  0.25331851   2    sp_5 -1.421711896 -0.57964814
    -#> 2406     0 -1.06782371  0.25331851  11    sp_6 -1.421711896 -0.57964814
    -#> 2407     0 -1.06782371  0.25331851  16    sp_7 -1.421711896 -0.57964814
    -#> 2408     0 -1.06782371  0.25331851   5    sp_8 -1.421711896 -0.57964814
    -#> 2409     0 -1.06782371  0.25331851   4    sp_9 -1.421711896 -0.57964814
    -#> 2410     0 -1.06782371  0.25331851   3   sp_10 -1.421711896 -0.57964814
    -#> 2411     0 -1.06782371  0.25331851  15   sp_11 -1.421711896 -0.57964814
    -#> 2412     0 -1.06782371  0.25331851  10   sp_12 -1.421711896 -0.57964814
    -#> 2413     0 -1.06782371  0.25331851   7   sp_13 -1.421711896 -0.57964814
    -#> 2414     0 -1.06782371  0.25331851   7   sp_14 -1.421711896 -0.57964814
    -#> 2415     0 -1.06782371  0.25331851   2   sp_15 -1.421711896 -0.57964814
    -#> 2416     0 -1.06782371  0.25331851  18   sp_16 -1.421711896 -0.57964814
    -#> 2417     0 -1.06782371  0.25331851  18   sp_17 -1.421711896 -0.57964814
    -#> 2418     0 -1.06782371  0.25331851   3   sp_18 -1.421711896 -0.57964814
    -#> 2419     0 -1.06782371  0.25331851   8   sp_19 -1.421711896 -0.57964814
    -#> 2420     0 -1.06782371  0.25331851  14   sp_20 -1.421711896 -0.57964814
    -#> 2421     0 -1.06782371  0.25331851   9   sp_21 -1.421711896 -0.57964814
    -#> 2422     0 -1.06782371  0.25331851  15   sp_22 -1.421711896 -0.57964814
    -#> 2423     0 -1.06782371  0.25331851  17   sp_23 -1.421711896 -0.57964814
    -#> 2424     0 -1.06782371  0.25331851   7   sp_24 -1.421711896 -0.57964814
    -#> 2425     0 -1.06782371  0.25331851   8   sp_25 -1.421711896 -0.57964814
    -#> 2426     0 -1.06782371  0.25331851   1   sp_26 -1.421711896 -0.57964814
    -#> 2427     0 -1.06782371  0.25331851   9   sp_27 -1.421711896 -0.57964814
    -#> 2428     0 -1.06782371  0.25331851   3   sp_28 -1.421711896 -0.57964814
    -#> 2429     1 -1.06782371  0.25331851   2   sp_29 -1.421711896 -0.57964814
    -#> 2430     0 -1.06782371  0.25331851  11   sp_30 -1.421711896 -0.57964814
    -#> 2521     1 -0.21797491 -0.02854676   4    sp_1  1.642183362  0.18891799
    -#> 2522     0 -0.21797491 -0.02854676   8    sp_2  1.642183362  0.18891799
    -#> 2523     0 -0.21797491 -0.02854676  20    sp_3  1.642183362  0.18891799
    -#> 2524     1 -0.21797491 -0.02854676  11    sp_4  1.642183362  0.18891799
    -#> 2525     0 -0.21797491 -0.02854676  18    sp_5  1.642183362  0.18891799
    -#> 2526     0 -0.21797491 -0.02854676  14    sp_6  1.642183362  0.18891799
    -#> 2527     0 -0.21797491 -0.02854676   3    sp_7  1.642183362  0.18891799
    -#> 2528     0 -0.21797491 -0.02854676   3    sp_8  1.642183362  0.18891799
    -#> 2529     0 -0.21797491 -0.02854676  14    sp_9  1.642183362  0.18891799
    -#> 2530     0 -0.21797491 -0.02854676   7   sp_10  1.642183362  0.18891799
    -#> 2531     0 -0.21797491 -0.02854676  15   sp_11  1.642183362  0.18891799
    -#> 2532     0 -0.21797491 -0.02854676   8   sp_12  1.642183362  0.18891799
    -#> 2533     0 -0.21797491 -0.02854676   1   sp_13  1.642183362  0.18891799
    -#> 2534     0 -0.21797491 -0.02854676   5   sp_14  1.642183362  0.18891799
    -#> 2535     1 -0.21797491 -0.02854676  17   sp_15  1.642183362  0.18891799
    -#> 2536     0 -0.21797491 -0.02854676   6   sp_16  1.642183362  0.18891799
    -#> 2537     0 -0.21797491 -0.02854676  10   sp_17  1.642183362  0.18891799
    -#> 2538     1 -0.21797491 -0.02854676  12   sp_18  1.642183362  0.18891799
    -#> 2539     0 -0.21797491 -0.02854676   8   sp_19  1.642183362  0.18891799
    -#> 2540     0 -0.21797491 -0.02854676  16   sp_20  1.642183362  0.18891799
    -#> 2541     0 -0.21797491 -0.02854676   7   sp_21  1.642183362  0.18891799
    -#> 2542     0 -0.21797491 -0.02854676   7   sp_22  1.642183362  0.18891799
    -#> 2543     0 -0.21797491 -0.02854676   1   sp_23  1.642183362  0.18891799
    -#> 2544     0 -0.21797491 -0.02854676  11   sp_24  1.642183362  0.18891799
    -#> 2545     0 -0.21797491 -0.02854676   3   sp_25  1.642183362  0.18891799
    -#> 2546     0 -0.21797491 -0.02854676  17   sp_26  1.642183362  0.18891799
    -#> 2547     0 -0.21797491 -0.02854676  20   sp_27  1.642183362  0.18891799
    -#> 2548     1 -0.21797491 -0.02854676   3   sp_28  1.642183362  0.18891799
    -#> 2549     0 -0.21797491 -0.02854676  14   sp_29  1.642183362  0.18891799
    -#> 2550     0 -0.21797491 -0.02854676   5   sp_30  1.642183362  0.18891799
    -#> 2641     0 -1.02600445 -0.04287046  18    sp_1  0.124236888 -0.35126512
    -#> 2642     0 -1.02600445 -0.04287046   8    sp_2  0.124236888 -0.35126512
    -#> 2643     0 -1.02600445 -0.04287046  20    sp_3  0.124236888 -0.35126512
    -#> 2644     0 -1.02600445 -0.04287046  10    sp_4  0.124236888 -0.35126512
    -#> 2645     1 -1.02600445 -0.04287046  18    sp_5  0.124236888 -0.35126512
    -#> 2646     0 -1.02600445 -0.04287046  17    sp_6  0.124236888 -0.35126512
    -#> 2647     0 -1.02600445 -0.04287046   9    sp_7  0.124236888 -0.35126512
    -#> 2648     0 -1.02600445 -0.04287046   3    sp_8  0.124236888 -0.35126512
    -#> 2649     0 -1.02600445 -0.04287046   5    sp_9  0.124236888 -0.35126512
    -#> 2650     0 -1.02600445 -0.04287046  16   sp_10  0.124236888 -0.35126512
    -#> 2651     0 -1.02600445 -0.04287046  20   sp_11  0.124236888 -0.35126512
    -#> 2652     0 -1.02600445 -0.04287046   3   sp_12  0.124236888 -0.35126512
    -#> 2653     0 -1.02600445 -0.04287046   3   sp_13  0.124236888 -0.35126512
    -#> 2654     0 -1.02600445 -0.04287046  13   sp_14  0.124236888 -0.35126512
    -#> 2655     0 -1.02600445 -0.04287046   4   sp_15  0.124236888 -0.35126512
    -#> 2656     0 -1.02600445 -0.04287046  15   sp_16  0.124236888 -0.35126512
    -#> 2657     0 -1.02600445 -0.04287046  19   sp_17  0.124236888 -0.35126512
    -#> 2658     0 -1.02600445 -0.04287046  13   sp_18  0.124236888 -0.35126512
    -#> 2659     1 -1.02600445 -0.04287046  12   sp_19  0.124236888 -0.35126512
    -#> 2660     0 -1.02600445 -0.04287046  20   sp_20  0.124236888 -0.35126512
    -#> 2661     0 -1.02600445 -0.04287046  13   sp_21  0.124236888 -0.35126512
    -#> 2662     0 -1.02600445 -0.04287046  13   sp_22  0.124236888 -0.35126512
    -#> 2663     0 -1.02600445 -0.04287046   3   sp_23  0.124236888 -0.35126512
    -#> 2664     0 -1.02600445 -0.04287046  20   sp_24  0.124236888 -0.35126512
    -#> 2665     0 -1.02600445 -0.04287046   5   sp_25  0.124236888 -0.35126512
    -#> 2666     0 -1.02600445 -0.04287046  13   sp_26  0.124236888 -0.35126512
    -#> 2667     1 -1.02600445 -0.04287046  12   sp_27  0.124236888 -0.35126512
    -#> 2668     0 -1.02600445 -0.04287046   8   sp_28  0.124236888 -0.35126512
    -#> 2669     0 -1.02600445 -0.04287046   6   sp_29  0.124236888 -0.35126512
    -#> 2670     0 -1.02600445 -0.04287046  16   sp_30  0.124236888 -0.35126512
    -#> 2761     0 -0.72889123  1.36860228  11    sp_1  0.001123313 -0.24455126
    -#> 2762     0 -0.72889123  1.36860228  12    sp_2  0.001123313 -0.24455126
    -#> 2763     0 -0.72889123  1.36860228  16    sp_3  0.001123313 -0.24455126
    -#> 2764     0 -0.72889123  1.36860228  15    sp_4  0.001123313 -0.24455126
    -#> 2765     0 -0.72889123  1.36860228   1    sp_5  0.001123313 -0.24455126
    -#> 2766     0 -0.72889123  1.36860228  12    sp_6  0.001123313 -0.24455126
    -#> 2767     0 -0.72889123  1.36860228  10    sp_7  0.001123313 -0.24455126
    -#> 2768     0 -0.72889123  1.36860228  10    sp_8  0.001123313 -0.24455126
    -#> 2769     0 -0.72889123  1.36860228   4    sp_9  0.001123313 -0.24455126
    -#> 2770     0 -0.72889123  1.36860228   9   sp_10  0.001123313 -0.24455126
    -#> 2771     0 -0.72889123  1.36860228  20   sp_11  0.001123313 -0.24455126
    -#> 2772     0 -0.72889123  1.36860228   5   sp_12  0.001123313 -0.24455126
    -#> 2773     0 -0.72889123  1.36860228   9   sp_13  0.001123313 -0.24455126
    -#> 2774     0 -0.72889123  1.36860228  19   sp_14  0.001123313 -0.24455126
    -#> 2775     0 -0.72889123  1.36860228   3   sp_15  0.001123313 -0.24455126
    -#> 2776     0 -0.72889123  1.36860228   2   sp_16  0.001123313 -0.24455126
    -#> 2777     0 -0.72889123  1.36860228  12   sp_17  0.001123313 -0.24455126
    -#> 2778     0 -0.72889123  1.36860228  15   sp_18  0.001123313 -0.24455126
    -#> 2779     0 -0.72889123  1.36860228  17   sp_19  0.001123313 -0.24455126
    -#> 2780     0 -0.72889123  1.36860228   3   sp_20  0.001123313 -0.24455126
    -#> 2781     0 -0.72889123  1.36860228   7   sp_21  0.001123313 -0.24455126
    -#> 2782     0 -0.72889123  1.36860228  13   sp_22  0.001123313 -0.24455126
    -#> 2783     0 -0.72889123  1.36860228  14   sp_23  0.001123313 -0.24455126
    -#> 2784     0 -0.72889123  1.36860228   2   sp_24  0.001123313 -0.24455126
    -#> 2785     0 -0.72889123  1.36860228   9   sp_25  0.001123313 -0.24455126
    -#> 2786     0 -0.72889123  1.36860228  15   sp_26  0.001123313 -0.24455126
    -#> 2787     0 -0.72889123  1.36860228   1   sp_27  0.001123313 -0.24455126
    -#> 2788     0 -0.72889123  1.36860228  10   sp_28  0.001123313 -0.24455126
    -#> 2789     0 -0.72889123  1.36860228   9   sp_29  0.001123313 -0.24455126
    -#> 2790     0 -0.72889123  1.36860228   9   sp_30  0.001123313 -0.24455126
    -#> 2881     0 -0.62503927 -0.22577099   7    sp_1 -1.328975923  1.09479379
    -#> 2882     0 -0.62503927 -0.22577099  18    sp_2 -1.328975923  1.09479379
    -#> 2883     1 -0.62503927 -0.22577099  12    sp_3 -1.328975923  1.09479379
    -#> 2884     0 -0.62503927 -0.22577099   6    sp_4 -1.328975923  1.09479379
    -#> 2885     0 -0.62503927 -0.22577099   7    sp_5 -1.328975923  1.09479379
    -#> 2886     0 -0.62503927 -0.22577099  16    sp_6 -1.328975923  1.09479379
    -#> 2887     0 -0.62503927 -0.22577099  16    sp_7 -1.328975923  1.09479379
    -#> 2888     0 -0.62503927 -0.22577099   2    sp_8 -1.328975923  1.09479379
    -#> 2889     0 -0.62503927 -0.22577099   2    sp_9 -1.328975923  1.09479379
    -#> 2890     0 -0.62503927 -0.22577099  14   sp_10 -1.328975923  1.09479379
    -#> 2891     0 -0.62503927 -0.22577099   7   sp_11 -1.328975923  1.09479379
    -#> 2892     0 -0.62503927 -0.22577099   6   sp_12 -1.328975923  1.09479379
    -#> 2893     0 -0.62503927 -0.22577099   4   sp_13 -1.328975923  1.09479379
    -#> 2894     0 -0.62503927 -0.22577099   3   sp_14 -1.328975923  1.09479379
    -#> 2895     0 -0.62503927 -0.22577099  14   sp_15 -1.328975923  1.09479379
    -#> 2896     0 -0.62503927 -0.22577099  19   sp_16 -1.328975923  1.09479379
    -#> 2897     0 -0.62503927 -0.22577099  14   sp_17 -1.328975923  1.09479379
    -#> 2898     0 -0.62503927 -0.22577099  16   sp_18 -1.328975923  1.09479379
    -#> 2899     0 -0.62503927 -0.22577099  10   sp_19 -1.328975923  1.09479379
    -#> 2900     0 -0.62503927 -0.22577099  12   sp_20 -1.328975923  1.09479379
    -#> 2901     0 -0.62503927 -0.22577099  18   sp_21 -1.328975923  1.09479379
    -#> 2902     0 -0.62503927 -0.22577099   3   sp_22 -1.328975923  1.09479379
    -#> 2903     0 -0.62503927 -0.22577099   1   sp_23 -1.328975923  1.09479379
    -#> 2904     0 -0.62503927 -0.22577099  12   sp_24 -1.328975923  1.09479379
    -#> 2905     0 -0.62503927 -0.22577099  17   sp_25 -1.328975923  1.09479379
    -#> 2906     0 -0.62503927 -0.22577099   1   sp_26 -1.328975923  1.09479379
    -#> 2907     0 -0.62503927 -0.22577099   4   sp_27 -1.328975923  1.09479379
    -#> 2908     0 -0.62503927 -0.22577099  19   sp_28 -1.328975923  1.09479379
    -#> 2909     0 -0.62503927 -0.22577099  13   sp_29 -1.328975923  1.09479379
    -#> 2910     0 -0.62503927 -0.22577099  18   sp_30 -1.328975923  1.09479379
    -#> 3001     0 -1.68669331  1.51647060  15    sp_1  0.779726615 -1.51078277
    -#> 3002     0 -1.68669331  1.51647060  13    sp_2  0.779726615 -1.51078277
    -#> 3003     0 -1.68669331  1.51647060  14    sp_3  0.779726615 -1.51078277
    -#> 3004     0 -1.68669331  1.51647060  18    sp_4  0.779726615 -1.51078277
    -#> 3005     0 -1.68669331  1.51647060  12    sp_5  0.779726615 -1.51078277
    -#> 3006     0 -1.68669331  1.51647060  18    sp_6  0.779726615 -1.51078277
    -#> 3007     0 -1.68669331  1.51647060   7    sp_7  0.779726615 -1.51078277
    -#> 3008     0 -1.68669331  1.51647060   4    sp_8  0.779726615 -1.51078277
    -#> 3009     0 -1.68669331  1.51647060   4    sp_9  0.779726615 -1.51078277
    -#> 3010     0 -1.68669331  1.51647060   3   sp_10  0.779726615 -1.51078277
    -#> 3011     0 -1.68669331  1.51647060  11   sp_11  0.779726615 -1.51078277
    -#> 3012     0 -1.68669331  1.51647060  19   sp_12  0.779726615 -1.51078277
    -#> 3013     0 -1.68669331  1.51647060  16   sp_13  0.779726615 -1.51078277
    -#> 3014     0 -1.68669331  1.51647060  15   sp_14  0.779726615 -1.51078277
    -#> 3015     0 -1.68669331  1.51647060  11   sp_15  0.779726615 -1.51078277
    -#> 3016     0 -1.68669331  1.51647060   6   sp_16  0.779726615 -1.51078277
    -#> 3017     0 -1.68669331  1.51647060   5   sp_17  0.779726615 -1.51078277
    -#> 3018     0 -1.68669331  1.51647060   2   sp_18  0.779726615 -1.51078277
    -#> 3019     0 -1.68669331  1.51647060  17   sp_19  0.779726615 -1.51078277
    -#> 3020     0 -1.68669331  1.51647060   5   sp_20  0.779726615 -1.51078277
    -#> 3021     0 -1.68669331  1.51647060  19   sp_21  0.779726615 -1.51078277
    -#> 3022     0 -1.68669331  1.51647060  15   sp_22  0.779726615 -1.51078277
    -#> 3023     0 -1.68669331  1.51647060  19   sp_23  0.779726615 -1.51078277
    -#> 3024     0 -1.68669331  1.51647060   3   sp_24  0.779726615 -1.51078277
    -#> 3025     0 -1.68669331  1.51647060  15   sp_25  0.779726615 -1.51078277
    -#> 3026     0 -1.68669331  1.51647060   3   sp_26  0.779726615 -1.51078277
    -#> 3027     0 -1.68669331  1.51647060   2   sp_27  0.779726615 -1.51078277
    -#> 3028     0 -1.68669331  1.51647060   5   sp_28  0.779726615 -1.51078277
    -#> 3029     0 -1.68669331  1.51647060   5   sp_29  0.779726615 -1.51078277
    -#> 3030     0 -1.68669331  1.51647060   7   sp_30  0.779726615 -1.51078277
    -#> 3121     1  0.83778704 -1.54875280   2    sp_1  1.290447486 -0.49645077
    -#> 3122     1  0.83778704 -1.54875280  16    sp_2  1.290447486 -0.49645077
    -#> 3123     1  0.83778704 -1.54875280   8    sp_3  1.290447486 -0.49645077
    -#> 3124     0  0.83778704 -1.54875280  18    sp_4  1.290447486 -0.49645077
    -#> 3125     1  0.83778704 -1.54875280  19    sp_5  1.290447486 -0.49645077
    -#> 3126     0  0.83778704 -1.54875280   9    sp_6  1.290447486 -0.49645077
    -#> 3127     1  0.83778704 -1.54875280  19    sp_7  1.290447486 -0.49645077
    -#> 3128     1  0.83778704 -1.54875280  14    sp_8  1.290447486 -0.49645077
    -#> 3129     1  0.83778704 -1.54875280  19    sp_9  1.290447486 -0.49645077
    -#> 3130     0  0.83778704 -1.54875280   5   sp_10  1.290447486 -0.49645077
    -#> 3131     0  0.83778704 -1.54875280  13   sp_11  1.290447486 -0.49645077
    -#> 3132     0  0.83778704 -1.54875280  16   sp_12  1.290447486 -0.49645077
    -#> 3133     0  0.83778704 -1.54875280   7   sp_13  1.290447486 -0.49645077
    -#> 3134     0  0.83778704 -1.54875280   8   sp_14  1.290447486 -0.49645077
    -#> 3135     0  0.83778704 -1.54875280  16   sp_15  1.290447486 -0.49645077
    -#> 3136     0  0.83778704 -1.54875280  15   sp_16  1.290447486 -0.49645077
    -#> 3137     1  0.83778704 -1.54875280  20   sp_17  1.290447486 -0.49645077
    -#> 3138     0  0.83778704 -1.54875280   3   sp_18  1.290447486 -0.49645077
    -#> 3139     1  0.83778704 -1.54875280  17   sp_19  1.290447486 -0.49645077
    -#> 3140     1  0.83778704 -1.54875280   7   sp_20  1.290447486 -0.49645077
    -#> 3141     0  0.83778704 -1.54875280  13   sp_21  1.290447486 -0.49645077
    -#> 3142     1  0.83778704 -1.54875280   3   sp_22  1.290447486 -0.49645077
    -#> 3143     0  0.83778704 -1.54875280  13   sp_23  1.290447486 -0.49645077
    -#> 3144     1  0.83778704 -1.54875280  14   sp_24  1.290447486 -0.49645077
    -#> 3145     0  0.83778704 -1.54875280   4   sp_25  1.290447486 -0.49645077
    -#> 3146     0  0.83778704 -1.54875280  16   sp_26  1.290447486 -0.49645077
    -#> 3147     1  0.83778704 -1.54875280   9   sp_27  1.290447486 -0.49645077
    -#> 3148     0  0.83778704 -1.54875280  16   sp_28  1.290447486 -0.49645077
    -#> 3149     0  0.83778704 -1.54875280   9   sp_29  1.290447486 -0.49645077
    -#> 3150     1  0.83778704 -1.54875280   5   sp_30  1.290447486 -0.49645077
    -#> 3241     0  0.15337312  0.58461375  14    sp_1 -1.020567780  0.61989576
    -#> 3242     0  0.15337312  0.58461375  12    sp_2 -1.020567780  0.61989576
    -#> 3243     0  0.15337312  0.58461375  14    sp_3 -1.020567780  0.61989576
    -#> 3244     0  0.15337312  0.58461375  13    sp_4 -1.020567780  0.61989576
    -#> 3245     1  0.15337312  0.58461375  20    sp_5 -1.020567780  0.61989576
    -#> 3246     0  0.15337312  0.58461375  15    sp_6 -1.020567780  0.61989576
    -#> 3247     0  0.15337312  0.58461375   8    sp_7 -1.020567780  0.61989576
    -#> 3248     0  0.15337312  0.58461375  13    sp_8 -1.020567780  0.61989576
    -#> 3249     1  0.15337312  0.58461375   7    sp_9 -1.020567780  0.61989576
    -#> 3250     0  0.15337312  0.58461375   5   sp_10 -1.020567780  0.61989576
    -#> 3251     0  0.15337312  0.58461375   8   sp_11 -1.020567780  0.61989576
    -#> 3252     0  0.15337312  0.58461375  15   sp_12 -1.020567780  0.61989576
    -#> 3253     0  0.15337312  0.58461375  14   sp_13 -1.020567780  0.61989576
    -#> 3254     1  0.15337312  0.58461375  16   sp_14 -1.020567780  0.61989576
    -#> 3255     0  0.15337312  0.58461375   1   sp_15 -1.020567780  0.61989576
    -#> 3256     0  0.15337312  0.58461375  14   sp_16 -1.020567780  0.61989576
    -#> 3257     0  0.15337312  0.58461375  17   sp_17 -1.020567780  0.61989576
    -#> 3258     0  0.15337312  0.58461375   7   sp_18 -1.020567780  0.61989576
    -#> 3259     0  0.15337312  0.58461375   7   sp_19 -1.020567780  0.61989576
    -#> 3260     0  0.15337312  0.58461375  13   sp_20 -1.020567780  0.61989576
    -#> 3261     0  0.15337312  0.58461375  15   sp_21 -1.020567780  0.61989576
    -#> 3262     1  0.15337312  0.58461375  12   sp_22 -1.020567780  0.61989576
    -#> 3263     0  0.15337312  0.58461375  14   sp_23 -1.020567780  0.61989576
    -#> 3264     0  0.15337312  0.58461375  19   sp_24 -1.020567780  0.61989576
    -#> 3265     0  0.15337312  0.58461375  19   sp_25 -1.020567780  0.61989576
    -#> 3266     0  0.15337312  0.58461375  17   sp_26 -1.020567780  0.61989576
    -#> 3267     0  0.15337312  0.58461375   9   sp_27 -1.020567780  0.61989576
    -#> 3268     0  0.15337312  0.58461375  13   sp_28 -1.020567780  0.61989576
    -#> 3269     0  0.15337312  0.58461375  14   sp_29 -1.020567780  0.61989576
    -#> 3270     0  0.15337312  0.58461375   6   sp_30 -1.020567780  0.61989576
    -#> 3361     0 -1.13813694  0.12385424   1    sp_1  0.704704540  2.00602552
    -#> 3362     0 -1.13813694  0.12385424  16    sp_2  0.704704540  2.00602552
    -#> 3363     0 -1.13813694  0.12385424   8    sp_3  0.704704540  2.00602552
    -#> 3364     0 -1.13813694  0.12385424   5    sp_4  0.704704540  2.00602552
    -#> 3365     0 -1.13813694  0.12385424  10    sp_5  0.704704540  2.00602552
    -#> 3366     0 -1.13813694  0.12385424   9    sp_6  0.704704540  2.00602552
    -#> 3367     0 -1.13813694  0.12385424   5    sp_7  0.704704540  2.00602552
    -#> 3368     0 -1.13813694  0.12385424  14    sp_8  0.704704540  2.00602552
    -#> 3369     0 -1.13813694  0.12385424  19    sp_9  0.704704540  2.00602552
    -#> 3370     0 -1.13813694  0.12385424   1   sp_10  0.704704540  2.00602552
    -#> 3371     0 -1.13813694  0.12385424  16   sp_11  0.704704540  2.00602552
    -#> 3372     0 -1.13813694  0.12385424   6   sp_12  0.704704540  2.00602552
    -#> 3373     0 -1.13813694  0.12385424  20   sp_13  0.704704540  2.00602552
    -#> 3374     0 -1.13813694  0.12385424   8   sp_14  0.704704540  2.00602552
    -#> 3375     0 -1.13813694  0.12385424  14   sp_15  0.704704540  2.00602552
    -#> 3376     0 -1.13813694  0.12385424  14   sp_16  0.704704540  2.00602552
    -#> 3377     0 -1.13813694  0.12385424   8   sp_17  0.704704540  2.00602552
    -#> 3378     0 -1.13813694  0.12385424  11   sp_18  0.704704540  2.00602552
    -#> 3379     0 -1.13813694  0.12385424  20   sp_19  0.704704540  2.00602552
    -#> 3380     0 -1.13813694  0.12385424   5   sp_20  0.704704540  2.00602552
    -#> 3381     0 -1.13813694  0.12385424  14   sp_21  0.704704540  2.00602552
    -#> 3382     0 -1.13813694  0.12385424   1   sp_22  0.704704540  2.00602552
    -#> 3383     0 -1.13813694  0.12385424   1   sp_23  0.704704540  2.00602552
    -#> 3384     0 -1.13813694  0.12385424   5   sp_24  0.704704540  2.00602552
    -#> 3385     0 -1.13813694  0.12385424   3   sp_25  0.704704540  2.00602552
    -#> 3386     0 -1.13813694  0.12385424   4   sp_26  0.704704540  2.00602552
    -#> 3387     0 -1.13813694  0.12385424   3   sp_27  0.704704540  2.00602552
    -#> 3388     0 -1.13813694  0.12385424  14   sp_28  0.704704540  2.00602552
    -#> 3389     0 -1.13813694  0.12385424  18   sp_29  0.704704540  2.00602552
    -#> 3390     0 -1.13813694  0.12385424  10   sp_30  0.704704540  2.00602552
    -#> 3481     1  1.25381492  0.21594157  12    sp_1  1.328751933  0.21194168
    -#> 3482     1  1.25381492  0.21594157  16    sp_2  1.328751933  0.21194168
    -#> 3483     0  1.25381492  0.21594157   3    sp_3  1.328751933  0.21194168
    -#> 3484     0  1.25381492  0.21594157  12    sp_4  1.328751933  0.21194168
    -#> 3485     0  1.25381492  0.21594157   5    sp_5  1.328751933  0.21194168
    -#> 3486     0  1.25381492  0.21594157  13    sp_6  1.328751933  0.21194168
    -#> 3487     0  1.25381492  0.21594157   8    sp_7  1.328751933  0.21194168
    -#> 3488     1  1.25381492  0.21594157  17    sp_8  1.328751933  0.21194168
    -#> 3489     0  1.25381492  0.21594157   5    sp_9  1.328751933  0.21194168
    -#> 3490     0  1.25381492  0.21594157  19   sp_10  1.328751933  0.21194168
    -#> 3491     0  1.25381492  0.21594157   6   sp_11  1.328751933  0.21194168
    -#> 3492     1  1.25381492  0.21594157   2   sp_12  1.328751933  0.21194168
    -#> 3493     1  1.25381492  0.21594157  17   sp_13  1.328751933  0.21194168
    -#> 3494     1  1.25381492  0.21594157  17   sp_14  1.328751933  0.21194168
    -#> 3495     0  1.25381492  0.21594157   8   sp_15  1.328751933  0.21194168
    -#> 3496     0  1.25381492  0.21594157  19   sp_16  1.328751933  0.21194168
    -#> 3497     1  1.25381492  0.21594157  18   sp_17  1.328751933  0.21194168
    -#> 3498     0  1.25381492  0.21594157  19   sp_18  1.328751933  0.21194168
    -#> 3499     1  1.25381492  0.21594157   5   sp_19  1.328751933  0.21194168
    -#> 3500     0  1.25381492  0.21594157  14   sp_20  1.328751933  0.21194168
    -#> 3501     1  1.25381492  0.21594157  12   sp_21  1.328751933  0.21194168
    -#> 3502     0  1.25381492  0.21594157   1   sp_22  1.328751933  0.21194168
    -#> 3503     1  1.25381492  0.21594157  16   sp_23  1.328751933  0.21194168
    -#> 3504     0  1.25381492  0.21594157  18   sp_24  1.328751933  0.21194168
    -#> 3505     1  1.25381492  0.21594157  20   sp_25  1.328751933  0.21194168
    -#> 3506     0  1.25381492  0.21594157   7   sp_26  1.328751933  0.21194168
    -#> 3507     1  1.25381492  0.21594157   5   sp_27  1.328751933  0.21194168
    -#> 3508     0  1.25381492  0.21594157  10   sp_28  1.328751933  0.21194168
    -#> 3509     0  1.25381492  0.21594157   4   sp_29  1.328751933  0.21194168
    -#> 3510     0  1.25381492  0.21594157   8   sp_30  1.328751933  0.21194168
    -#> 110      1 -0.56047565  0.42646422   7    sp_1  1.716649095 -2.35167507
    -#> 210      0 -0.56047565  0.42646422   3    sp_2  1.716649095 -2.35167507
    -#> 31       0 -0.56047565  0.42646422  15    sp_3  1.716649095 -2.35167507
    -#> 41       0 -0.56047565  0.42646422   5    sp_4  1.716649095 -2.35167507
    -#> 51       1 -0.56047565  0.42646422   8    sp_5  1.716649095 -2.35167507
    -#> 61       0 -0.56047565  0.42646422  19    sp_6  1.716649095 -2.35167507
    -#> 71       0 -0.56047565  0.42646422  10    sp_7  1.716649095 -2.35167507
    -#> 81       0 -0.56047565  0.42646422  18    sp_8  1.716649095 -2.35167507
    -#> 91       0 -0.56047565  0.42646422  10    sp_9  1.716649095 -2.35167507
    -#> 101      0 -0.56047565  0.42646422  12   sp_10  1.716649095 -2.35167507
    -#> 111      1 -0.56047565  0.42646422   2   sp_11  1.716649095 -2.35167507
    -#> 1231     0 -0.56047565  0.42646422  10   sp_12  1.716649095 -2.35167507
    -#> 1310     1 -0.56047565  0.42646422  12   sp_13  1.716649095 -2.35167507
    -#> 1410     0 -0.56047565  0.42646422  20   sp_14  1.716649095 -2.35167507
    -#> 151      0 -0.56047565  0.42646422  14   sp_15  1.716649095 -2.35167507
    -#> 161      0 -0.56047565  0.42646422  17   sp_16  1.716649095 -2.35167507
    -#> 171      1 -0.56047565  0.42646422  14   sp_17  1.716649095 -2.35167507
    -#> 181      0 -0.56047565  0.42646422   3   sp_18  1.716649095 -2.35167507
    -#> 191      0 -0.56047565  0.42646422   8   sp_19  1.716649095 -2.35167507
    -#> 201      1 -0.56047565  0.42646422  14   sp_20  1.716649095 -2.35167507
    -#> 211      0 -0.56047565  0.42646422  19   sp_21  1.716649095 -2.35167507
    -#> 221      0 -0.56047565  0.42646422  15   sp_22  1.716649095 -2.35167507
    -#> 231      0 -0.56047565  0.42646422  17   sp_23  1.716649095 -2.35167507
    -#> 2431     1 -0.56047565  0.42646422  11   sp_24  1.716649095 -2.35167507
    -#> 2510     0 -0.56047565  0.42646422   7   sp_25  1.716649095 -2.35167507
    -#> 2610     0 -0.56047565  0.42646422  15   sp_26  1.716649095 -2.35167507
    -#> 271      1 -0.56047565  0.42646422   6   sp_27  1.716649095 -2.35167507
    -#> 281      0 -0.56047565  0.42646422  14   sp_28  1.716649095 -2.35167507
    -#> 291      0 -0.56047565  0.42646422   7   sp_29  1.716649095 -2.35167507
    -#> 301      0 -0.56047565  0.42646422  10   sp_30  1.716649095 -2.35167507
    -#> 12110    0 -0.23017749 -0.29507148   5    sp_1 -0.859586190  1.32733753
    -#> 12210    0 -0.23017749 -0.29507148   6    sp_2 -0.859586190  1.32733753
    -#> 1232     0 -0.23017749 -0.29507148  16    sp_3 -0.859586190  1.32733753
    -#> 1241     0 -0.23017749 -0.29507148  11    sp_4 -0.859586190  1.32733753
    -#> 1251     0 -0.23017749 -0.29507148   4    sp_5 -0.859586190  1.32733753
    -#> 1261     0 -0.23017749 -0.29507148  12    sp_6 -0.859586190  1.32733753
    -#> 1271     0 -0.23017749 -0.29507148  14    sp_7 -0.859586190  1.32733753
    -#> 1281     0 -0.23017749 -0.29507148  19    sp_8 -0.859586190  1.32733753
    -#> 1291     0 -0.23017749 -0.29507148   7    sp_9 -0.859586190  1.32733753
    -#> 1301     0 -0.23017749 -0.29507148   9   sp_10 -0.859586190  1.32733753
    -#> 1311     0 -0.23017749 -0.29507148   7   sp_11 -0.859586190  1.32733753
    -#> 13210    0 -0.23017749 -0.29507148   2   sp_12 -0.859586190  1.32733753
    -#> 13310    0 -0.23017749 -0.29507148  16   sp_13 -0.859586190  1.32733753
    -#> 13410    0 -0.23017749 -0.29507148  13   sp_14 -0.859586190  1.32733753
    -#> 1351     0 -0.23017749 -0.29507148  19   sp_15 -0.859586190  1.32733753
    -#> 1361     0 -0.23017749 -0.29507148  20   sp_16 -0.859586190  1.32733753
    -#> 1371     0 -0.23017749 -0.29507148  15   sp_17 -0.859586190  1.32733753
    -#> 1381     0 -0.23017749 -0.29507148   7   sp_18 -0.859586190  1.32733753
    -#> 1391     0 -0.23017749 -0.29507148   4   sp_19 -0.859586190  1.32733753
    -#> 1401     0 -0.23017749 -0.29507148   1   sp_20 -0.859586190  1.32733753
    -#> 1411     0 -0.23017749 -0.29507148   8   sp_21 -0.859586190  1.32733753
    -#> 1421     0 -0.23017749 -0.29507148  20   sp_22 -0.859586190  1.32733753
    -#> 1431     0 -0.23017749 -0.29507148  16   sp_23 -0.859586190  1.32733753
    -#> 14410    0 -0.23017749 -0.29507148  11   sp_24 -0.859586190  1.32733753
    -#> 14510    0 -0.23017749 -0.29507148  16   sp_25 -0.859586190  1.32733753
    -#> 14610    0 -0.23017749 -0.29507148  20   sp_26 -0.859586190  1.32733753
    -#> 1471     0 -0.23017749 -0.29507148   8   sp_27 -0.859586190  1.32733753
    -#> 1481     0 -0.23017749 -0.29507148   3   sp_28 -0.859586190  1.32733753
    -#> 1491     0 -0.23017749 -0.29507148   4   sp_29 -0.859586190  1.32733753
    -#> 1501     0 -0.23017749 -0.29507148  20   sp_30 -0.859586190  1.32733753
    -#> 24110    0  1.55870831  0.89512566  12    sp_1 -1.013550294 -0.08577912
    -#> 24210    1  1.55870831  0.89512566  17    sp_2 -1.013550294 -0.08577912
    -#> 2432     0  1.55870831  0.89512566  10    sp_3 -1.013550294 -0.08577912
    -#> 2441     1  1.55870831  0.89512566  20    sp_4 -1.013550294 -0.08577912
    -#> 2451     0  1.55870831  0.89512566  11    sp_5 -1.013550294 -0.08577912
    -#> 2461     0  1.55870831  0.89512566   8    sp_6 -1.013550294 -0.08577912
    -#> 2471     0  1.55870831  0.89512566  14    sp_7 -1.013550294 -0.08577912
    -#> 2481     0  1.55870831  0.89512566  13    sp_8 -1.013550294 -0.08577912
    -#> 2491     0  1.55870831  0.89512566   2    sp_9 -1.013550294 -0.08577912
    -#> 2501     1  1.55870831  0.89512566  11   sp_10 -1.013550294 -0.08577912
    -#> 2511     0  1.55870831  0.89512566  13   sp_11 -1.013550294 -0.08577912
    -#> 25210    0  1.55870831  0.89512566  14   sp_12 -1.013550294 -0.08577912
    -#> 25310    0  1.55870831  0.89512566   6   sp_13 -1.013550294 -0.08577912
    -#> 25410    0  1.55870831  0.89512566   8   sp_14 -1.013550294 -0.08577912
    -#> 2551     0  1.55870831  0.89512566  12   sp_15 -1.013550294 -0.08577912
    -#> 2561     1  1.55870831  0.89512566   4   sp_16 -1.013550294 -0.08577912
    -#> 2571     0  1.55870831  0.89512566  13   sp_17 -1.013550294 -0.08577912
    -#> 2581     0  1.55870831  0.89512566  14   sp_18 -1.013550294 -0.08577912
    -#> 2591     0  1.55870831  0.89512566  16   sp_19 -1.013550294 -0.08577912
    -#> 2601     0  1.55870831  0.89512566   1   sp_20 -1.013550294 -0.08577912
    -#> 2611     0  1.55870831  0.89512566   8   sp_21 -1.013550294 -0.08577912
    -#> 2621     0  1.55870831  0.89512566   8   sp_22 -1.013550294 -0.08577912
    -#> 2631     0  1.55870831  0.89512566  10   sp_23 -1.013550294 -0.08577912
    -#> 26410    0  1.55870831  0.89512566   8   sp_24 -1.013550294 -0.08577912
    -#> 26510    0  1.55870831  0.89512566  18   sp_25 -1.013550294 -0.08577912
    -#> 26610    0  1.55870831  0.89512566   9   sp_26 -1.013550294 -0.08577912
    -#> 2671     0  1.55870831  0.89512566   7   sp_27 -1.013550294 -0.08577912
    -#> 2681     0  1.55870831  0.89512566   7   sp_28 -1.013550294 -0.08577912
    -#> 2691     1  1.55870831  0.89512566  10   sp_29 -1.013550294 -0.08577912
    -#> 2701     0  1.55870831  0.89512566  11   sp_30 -1.013550294 -0.08577912
    -#> 3611     0  0.07050839  0.87813349   1    sp_1 -0.220246237 -0.08670636
    -#> 3621     0  0.07050839  0.87813349  19    sp_2 -0.220246237 -0.08670636
    -#> 3631     0  0.07050839  0.87813349  10    sp_3 -0.220246237 -0.08670636
    -#> 3641     0  0.07050839  0.87813349  13    sp_4 -0.220246237 -0.08670636
    -#> 3651     1  0.07050839  0.87813349  11    sp_5 -0.220246237 -0.08670636
    -#> 3661     0  0.07050839  0.87813349  11    sp_6 -0.220246237 -0.08670636
    -#> 3671     0  0.07050839  0.87813349  20    sp_7 -0.220246237 -0.08670636
    -#> 3681     0  0.07050839  0.87813349   7    sp_8 -0.220246237 -0.08670636
    -#> 3691     0  0.07050839  0.87813349  20    sp_9 -0.220246237 -0.08670636
    -#> 3701     0  0.07050839  0.87813349   9   sp_10 -0.220246237 -0.08670636
    -#> 3711     0  0.07050839  0.87813349   9   sp_11 -0.220246237 -0.08670636
    -#> 3721     0  0.07050839  0.87813349   5   sp_12 -0.220246237 -0.08670636
    -#> 3731     0  0.07050839  0.87813349  14   sp_13 -0.220246237 -0.08670636
    -#> 3741     0  0.07050839  0.87813349  14   sp_14 -0.220246237 -0.08670636
    -#> 3751     0  0.07050839  0.87813349   6   sp_15 -0.220246237 -0.08670636
    -#> 3761     0  0.07050839  0.87813349   1   sp_16 -0.220246237 -0.08670636
    -#> 3771     1  0.07050839  0.87813349  10   sp_17 -0.220246237 -0.08670636
    -#> 3781     0  0.07050839  0.87813349  17   sp_18 -0.220246237 -0.08670636
    -#> 3791     1  0.07050839  0.87813349  17   sp_19 -0.220246237 -0.08670636
    -#> 3801     0  0.07050839  0.87813349   7   sp_20 -0.220246237 -0.08670636
    -#> 3811     0  0.07050839  0.87813349   9   sp_21 -0.220246237 -0.08670636
    -#> 3821     0  0.07050839  0.87813349  20   sp_22 -0.220246237 -0.08670636
    -#> 3831     0  0.07050839  0.87813349   6   sp_23 -0.220246237 -0.08670636
    -#> 3841     0  0.07050839  0.87813349  18   sp_24 -0.220246237 -0.08670636
    -#> 3851     0  0.07050839  0.87813349  17   sp_25 -0.220246237 -0.08670636
    -#> 3861     0  0.07050839  0.87813349   5   sp_26 -0.220246237 -0.08670636
    -#> 3871     0  0.07050839  0.87813349  20   sp_27 -0.220246237 -0.08670636
    -#> 3881     0  0.07050839  0.87813349   3   sp_28 -0.220246237 -0.08670636
    -#> 3891     0  0.07050839  0.87813349  14   sp_29 -0.220246237 -0.08670636
    -#> 3901     0  0.07050839  0.87813349   1   sp_30 -0.220246237 -0.08670636
    -#> 4811     0  0.12928774  0.82158108   2    sp_1  0.158823107 -0.25053832
    -#> 4821     0  0.12928774  0.82158108   4    sp_2  0.158823107 -0.25053832
    -#> 4831     0  0.12928774  0.82158108  10    sp_3  0.158823107 -0.25053832
    -#> 4841     0  0.12928774  0.82158108   1    sp_4  0.158823107 -0.25053832
    -#> 4851     0  0.12928774  0.82158108   5    sp_5  0.158823107 -0.25053832
    -#> 4861     0  0.12928774  0.82158108   8    sp_6  0.158823107 -0.25053832
    -#> 4871     0  0.12928774  0.82158108  13    sp_7  0.158823107 -0.25053832
    -#> 4881     0  0.12928774  0.82158108  18    sp_8  0.158823107 -0.25053832
    -#> 4891     1  0.12928774  0.82158108  10    sp_9  0.158823107 -0.25053832
    -#> 4901     0  0.12928774  0.82158108   6   sp_10  0.158823107 -0.25053832
    -#> 4911     0  0.12928774  0.82158108   7   sp_11  0.158823107 -0.25053832
    -#> 4921     0  0.12928774  0.82158108   9   sp_12  0.158823107 -0.25053832
    -#> 4931     0  0.12928774  0.82158108  16   sp_13  0.158823107 -0.25053832
    -#> 4941     1  0.12928774  0.82158108  17   sp_14  0.158823107 -0.25053832
    -#> 4951     0  0.12928774  0.82158108  13   sp_15  0.158823107 -0.25053832
    -#> 4961     0  0.12928774  0.82158108   8   sp_16  0.158823107 -0.25053832
    -#> 4971     0  0.12928774  0.82158108   7   sp_17  0.158823107 -0.25053832
    -#> 4981     0  0.12928774  0.82158108  20   sp_18  0.158823107 -0.25053832
    -#> 4991     0  0.12928774  0.82158108  18   sp_19  0.158823107 -0.25053832
    -#> 5001     0  0.12928774  0.82158108  17   sp_20  0.158823107 -0.25053832
    -#> 5011     0  0.12928774  0.82158108   1   sp_21  0.158823107 -0.25053832
    -#> 5021     0  0.12928774  0.82158108   2   sp_22  0.158823107 -0.25053832
    -#> 5031     0  0.12928774  0.82158108  17   sp_23  0.158823107 -0.25053832
    -#> 5041     0  0.12928774  0.82158108   2   sp_24  0.158823107 -0.25053832
    -#> 5051     0  0.12928774  0.82158108  13   sp_25  0.158823107 -0.25053832
    -#> 5061     0  0.12928774  0.82158108  17   sp_26  0.158823107 -0.25053832
    -#> 5071     0  0.12928774  0.82158108   3   sp_27  0.158823107 -0.25053832
    -#> 5081     0  0.12928774  0.82158108  18   sp_28  0.158823107 -0.25053832
    -#> 5091     1  0.12928774  0.82158108   2   sp_29  0.158823107 -0.25053832
    -#> 5101     0  0.12928774  0.82158108   5   sp_30  0.158823107 -0.25053832
    -#> 6011     0  1.71506499  0.68864025  12    sp_1 -0.869274055  0.39534471
    -#> 6021     0  1.71506499  0.68864025  13    sp_2 -0.869274055  0.39534471
    -#> 6031     0  1.71506499  0.68864025  10    sp_3 -0.869274055  0.39534471
    -#> 6041     0  1.71506499  0.68864025   6    sp_4 -0.869274055  0.39534471
    -#> 6051     0  1.71506499  0.68864025  10    sp_5 -0.869274055  0.39534471
    -#> 6061     0  1.71506499  0.68864025  10    sp_6 -0.869274055  0.39534471
    -#> 6071     0  1.71506499  0.68864025   6    sp_7 -0.869274055  0.39534471
    -#> 6081     1  1.71506499  0.68864025  16    sp_8 -0.869274055  0.39534471
    -#> 6091     0  1.71506499  0.68864025  16    sp_9 -0.869274055  0.39534471
    -#> 6101     1  1.71506499  0.68864025   3   sp_10 -0.869274055  0.39534471
    -#> 6111     0  1.71506499  0.68864025   4   sp_11 -0.869274055  0.39534471
    -#> 6121     0  1.71506499  0.68864025   3   sp_12 -0.869274055  0.39534471
    -#> 6131     0  1.71506499  0.68864025   3   sp_13 -0.869274055  0.39534471
    -#> 6141     0  1.71506499  0.68864025  16   sp_14 -0.869274055  0.39534471
    -#> 6151     1  1.71506499  0.68864025   2   sp_15 -0.869274055  0.39534471
    -#> 6161     0  1.71506499  0.68864025  15   sp_16 -0.869274055  0.39534471
    -#> 6171     0  1.71506499  0.68864025   3   sp_17 -0.869274055  0.39534471
    -#> 6181     0  1.71506499  0.68864025   9   sp_18 -0.869274055  0.39534471
    -#> 6191     0  1.71506499  0.68864025   7   sp_19 -0.869274055  0.39534471
    -#> 6201     0  1.71506499  0.68864025   9   sp_20 -0.869274055  0.39534471
    -#> 6211     0  1.71506499  0.68864025   4   sp_21 -0.869274055  0.39534471
    -#> 6221     0  1.71506499  0.68864025   2   sp_22 -0.869274055  0.39534471
    -#> 6231     0  1.71506499  0.68864025  12   sp_23 -0.869274055  0.39534471
    -#> 6241     0  1.71506499  0.68864025   9   sp_24 -0.869274055  0.39534471
    -#> 6251     0  1.71506499  0.68864025  11   sp_25 -0.869274055  0.39534471
    -#> 6261     0  1.71506499  0.68864025   7   sp_26 -0.869274055  0.39534471
    -#> 6271     0  1.71506499  0.68864025  13   sp_27 -0.869274055  0.39534471
    -#> 6281     1  1.71506499  0.68864025   5   sp_28 -0.869274055  0.39534471
    -#> 6291     0  1.71506499  0.68864025  11   sp_29 -0.869274055  0.39534471
    -#> 6301     0  1.71506499  0.68864025   1   sp_30 -0.869274055  0.39534471
    -#> 7211     0  0.46091621  0.55391765  19    sp_1 -0.730637689  1.23693746
    -#> 7221     1  0.46091621  0.55391765  12    sp_2 -0.730637689  1.23693746
    -#> 7231     0  0.46091621  0.55391765   2    sp_3 -0.730637689  1.23693746
    -#> 7241     1  0.46091621  0.55391765  17    sp_4 -0.730637689  1.23693746
    -#> 7251     0  0.46091621  0.55391765  12    sp_5 -0.730637689  1.23693746
    -#> 7261     0  0.46091621  0.55391765   3    sp_6 -0.730637689  1.23693746
    -#> 7271     0  0.46091621  0.55391765  18    sp_7 -0.730637689  1.23693746
    -#> 7281     0  0.46091621  0.55391765  15    sp_8 -0.730637689  1.23693746
    -#> 7291     0  0.46091621  0.55391765   3    sp_9 -0.730637689  1.23693746
    -#> 7301     0  0.46091621  0.55391765  19   sp_10 -0.730637689  1.23693746
    -#> 7311     0  0.46091621  0.55391765  18   sp_11 -0.730637689  1.23693746
    -#> 7321     0  0.46091621  0.55391765  17   sp_12 -0.730637689  1.23693746
    -#> 7331     0  0.46091621  0.55391765   6   sp_13 -0.730637689  1.23693746
    -#> 7341     0  0.46091621  0.55391765  10   sp_14 -0.730637689  1.23693746
    -#> 7351     0  0.46091621  0.55391765   8   sp_15 -0.730637689  1.23693746
    -#> 7361     0  0.46091621  0.55391765  10   sp_16 -0.730637689  1.23693746
    -#> 7371     0  0.46091621  0.55391765  13   sp_17 -0.730637689  1.23693746
    -#> 7381     0  0.46091621  0.55391765  20   sp_18 -0.730637689  1.23693746
    -#> 7391     0  0.46091621  0.55391765   6   sp_19 -0.730637689  1.23693746
    -#> 7401     0  0.46091621  0.55391765  20   sp_20 -0.730637689  1.23693746
    -#> 7411     1  0.46091621  0.55391765  20   sp_21 -0.730637689  1.23693746
    -#> 7421     0  0.46091621  0.55391765   9   sp_22 -0.730637689  1.23693746
    -#> 7431     0  0.46091621  0.55391765  16   sp_23 -0.730637689  1.23693746
    -#> 7441     0  0.46091621  0.55391765   8   sp_24 -0.730637689  1.23693746
    -#> 7451     0  0.46091621  0.55391765   7   sp_25 -0.730637689  1.23693746
    -#> 7461     0  0.46091621  0.55391765  10   sp_26 -0.730637689  1.23693746
    -#> 7471     1  0.46091621  0.55391765  17   sp_27 -0.730637689  1.23693746
    -#> 7481     0  0.46091621  0.55391765  18   sp_28 -0.730637689  1.23693746
    -#> 7491     0  0.46091621  0.55391765   8   sp_29 -0.730637689  1.23693746
    -#> 7501     0  0.46091621  0.55391765  19   sp_30 -0.730637689  1.23693746
    -#> 8411     0 -1.26506123 -0.06191171  10    sp_1  1.111633173  0.14385911
    -#> 8421     0 -1.26506123 -0.06191171  11    sp_2  1.111633173  0.14385911
    -#> 8431     0 -1.26506123 -0.06191171  17    sp_3  1.111633173  0.14385911
    -#> 8441     0 -1.26506123 -0.06191171  12    sp_4  1.111633173  0.14385911
    -#> 8451     0 -1.26506123 -0.06191171   2    sp_5  1.111633173  0.14385911
    -#> 8461     0 -1.26506123 -0.06191171  19    sp_6  1.111633173  0.14385911
    -#> 8471     0 -1.26506123 -0.06191171  13    sp_7  1.111633173  0.14385911
    -#> 8481     0 -1.26506123 -0.06191171  13    sp_8  1.111633173  0.14385911
    -#> 8491     0 -1.26506123 -0.06191171  19    sp_9  1.111633173  0.14385911
    -#> 8501     1 -1.26506123 -0.06191171  10   sp_10  1.111633173  0.14385911
    -#> 8511     0 -1.26506123 -0.06191171  16   sp_11  1.111633173  0.14385911
    -#> 8521     0 -1.26506123 -0.06191171   5   sp_12  1.111633173  0.14385911
    -#> 8531     0 -1.26506123 -0.06191171   4   sp_13  1.111633173  0.14385911
    -#> 8541     0 -1.26506123 -0.06191171  18   sp_14  1.111633173  0.14385911
    -#> 8551     0 -1.26506123 -0.06191171   1   sp_15  1.111633173  0.14385911
    -#> 8561     0 -1.26506123 -0.06191171  16   sp_16  1.111633173  0.14385911
    -#> 8571     0 -1.26506123 -0.06191171  17   sp_17  1.111633173  0.14385911
    -#> 8581     0 -1.26506123 -0.06191171  12   sp_18  1.111633173  0.14385911
    -#> 8591     1 -1.26506123 -0.06191171   2   sp_19  1.111633173  0.14385911
    -#> 8601     0 -1.26506123 -0.06191171  18   sp_20  1.111633173  0.14385911
    -#> 8611     0 -1.26506123 -0.06191171  12   sp_21  1.111633173  0.14385911
    -#> 8621     0 -1.26506123 -0.06191171  15   sp_22  1.111633173  0.14385911
    -#> 8631     0 -1.26506123 -0.06191171  19   sp_23  1.111633173  0.14385911
    -#> 8641     0 -1.26506123 -0.06191171   6   sp_24  1.111633173  0.14385911
    -#> 8651     0 -1.26506123 -0.06191171  16   sp_25  1.111633173  0.14385911
    -#> 8661     0 -1.26506123 -0.06191171  15   sp_26  1.111633173  0.14385911
    -#> 8671     0 -1.26506123 -0.06191171  19   sp_27  1.111633173  0.14385911
    -#> 8681     0 -1.26506123 -0.06191171   3   sp_28  1.111633173  0.14385911
    -#> 8691     0 -1.26506123 -0.06191171  14   sp_29  1.111633173  0.14385911
    -#> 8701     0 -1.26506123 -0.06191171   1   sp_30  1.111633173  0.14385911
    -#> 9611     1 -0.68685285 -0.30596266   1    sp_1 -0.166381366 -1.44944857
    -#> 9621     0 -0.68685285 -0.30596266  16    sp_2 -0.166381366 -1.44944857
    -#> 9631     0 -0.68685285 -0.30596266  11    sp_3 -0.166381366 -1.44944857
    -#> 9641     0 -0.68685285 -0.30596266   4    sp_4 -0.166381366 -1.44944857
    -#> 9651     1 -0.68685285 -0.30596266  12    sp_5 -0.166381366 -1.44944857
    -#> 9661     1 -0.68685285 -0.30596266  13    sp_6 -0.166381366 -1.44944857
    -#> 9671     0 -0.68685285 -0.30596266  10    sp_7 -0.166381366 -1.44944857
    -#> 9681     0 -0.68685285 -0.30596266  10    sp_8 -0.166381366 -1.44944857
    -#> 9691     1 -0.68685285 -0.30596266   7    sp_9 -0.166381366 -1.44944857
    -#> 9701     0 -0.68685285 -0.30596266  18   sp_10 -0.166381366 -1.44944857
    -#> 9711     0 -0.68685285 -0.30596266  17   sp_11 -0.166381366 -1.44944857
    -#> 9721     0 -0.68685285 -0.30596266  20   sp_12 -0.166381366 -1.44944857
    -#> 9731     1 -0.68685285 -0.30596266   9   sp_13 -0.166381366 -1.44944857
    -#> 9741     0 -0.68685285 -0.30596266  11   sp_14 -0.166381366 -1.44944857
    -#> 9751     1 -0.68685285 -0.30596266  12   sp_15 -0.166381366 -1.44944857
    -#> 9761     0 -0.68685285 -0.30596266   8   sp_16 -0.166381366 -1.44944857
    -#> 9771     0 -0.68685285 -0.30596266  18   sp_17 -0.166381366 -1.44944857
    -#> 9781     0 -0.68685285 -0.30596266   5   sp_18 -0.166381366 -1.44944857
    -#> 9791     0 -0.68685285 -0.30596266  18   sp_19 -0.166381366 -1.44944857
    -#> 9801     0 -0.68685285 -0.30596266   6   sp_20 -0.166381366 -1.44944857
    -#> 9811     0 -0.68685285 -0.30596266  10   sp_21 -0.166381366 -1.44944857
    -#> 9821     0 -0.68685285 -0.30596266   9   sp_22 -0.166381366 -1.44944857
    -#> 9831     0 -0.68685285 -0.30596266  11   sp_23 -0.166381366 -1.44944857
    -#> 9841     0 -0.68685285 -0.30596266   6   sp_24 -0.166381366 -1.44944857
    -#> 9851     0 -0.68685285 -0.30596266  12   sp_25 -0.166381366 -1.44944857
    -#> 9861     0 -0.68685285 -0.30596266  19   sp_26 -0.166381366 -1.44944857
    -#> 9871     0 -0.68685285 -0.30596266   4   sp_27 -0.166381366 -1.44944857
    -#> 9881     0 -0.68685285 -0.30596266   3   sp_28 -0.166381366 -1.44944857
    -#> 9891     0 -0.68685285 -0.30596266  14   sp_29 -0.166381366 -1.44944857
    -#> 9901     0 -0.68685285 -0.30596266   8   sp_30 -0.166381366 -1.44944857
    -#> 10811    0 -0.44566197 -0.38047100   6    sp_1  0.967695272  0.26986716
    -#> 10821    0 -0.44566197 -0.38047100   4    sp_2  0.967695272  0.26986716
    -#> 10831    1 -0.44566197 -0.38047100  10    sp_3  0.967695272  0.26986716
    -#> 10841    0 -0.44566197 -0.38047100  16    sp_4  0.967695272  0.26986716
    -#> 10851    0 -0.44566197 -0.38047100  16    sp_5  0.967695272  0.26986716
    -#> 10861    0 -0.44566197 -0.38047100  20    sp_6  0.967695272  0.26986716
    -#> 10871    1 -0.44566197 -0.38047100  10    sp_7  0.967695272  0.26986716
    -#> 10881    0 -0.44566197 -0.38047100   6    sp_8  0.967695272  0.26986716
    -#> 10891    0 -0.44566197 -0.38047100  19    sp_9  0.967695272  0.26986716
    -#> 10901    0 -0.44566197 -0.38047100   4   sp_10  0.967695272  0.26986716
    -#> 10911    0 -0.44566197 -0.38047100   9   sp_11  0.967695272  0.26986716
    -#> 10921    0 -0.44566197 -0.38047100   4   sp_12  0.967695272  0.26986716
    -#> 10931    0 -0.44566197 -0.38047100  15   sp_13  0.967695272  0.26986716
    -#> 10941    1 -0.44566197 -0.38047100  20   sp_14  0.967695272  0.26986716
    -#> 10951    0 -0.44566197 -0.38047100  17   sp_15  0.967695272  0.26986716
    -#> 10961    0 -0.44566197 -0.38047100   7   sp_16  0.967695272  0.26986716
    -#> 10971    0 -0.44566197 -0.38047100  15   sp_17  0.967695272  0.26986716
    -#> 10981    0 -0.44566197 -0.38047100   5   sp_18  0.967695272  0.26986716
    -#> 10991    0 -0.44566197 -0.38047100  14   sp_19  0.967695272  0.26986716
    -#> 11001    0 -0.44566197 -0.38047100  15   sp_20  0.967695272  0.26986716
    -#> 11011    1 -0.44566197 -0.38047100  15   sp_21  0.967695272  0.26986716
    -#> 11021    0 -0.44566197 -0.38047100  16   sp_22  0.967695272  0.26986716
    -#> 11031    0 -0.44566197 -0.38047100  19   sp_23  0.967695272  0.26986716
    -#> 11041    0 -0.44566197 -0.38047100   8   sp_24  0.967695272  0.26986716
    -#> 11051    0 -0.44566197 -0.38047100   5   sp_25  0.967695272  0.26986716
    -#> 11061    0 -0.44566197 -0.38047100   7   sp_26  0.967695272  0.26986716
    -#> 11071    0 -0.44566197 -0.38047100  20   sp_27  0.967695272  0.26986716
    -#> 11081    0 -0.44566197 -0.38047100  16   sp_28  0.967695272  0.26986716
    -#> 11091    0 -0.44566197 -0.38047100  16   sp_29  0.967695272  0.26986716
    -#> 11101    0 -0.44566197 -0.38047100   9   sp_30  0.967695272  0.26986716
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    -#> 12021    1  1.22408180 -0.69470698  11    sp_2 -0.498319395  1.33868649
    -#> 12031    0  1.22408180 -0.69470698  19    sp_3 -0.498319395  1.33868649
    -#> 12041    0  1.22408180 -0.69470698  10    sp_4 -0.498319395  1.33868649
    -#> 12051    0  1.22408180 -0.69470698   2    sp_5 -0.498319395  1.33868649
    -#> 12061    0  1.22408180 -0.69470698   6    sp_6 -0.498319395  1.33868649
    -#> 12071    0  1.22408180 -0.69470698  20    sp_7 -0.498319395  1.33868649
    -#> 12081    0  1.22408180 -0.69470698  14    sp_8 -0.498319395  1.33868649
    -#> 12091    0  1.22408180 -0.69470698  14    sp_9 -0.498319395  1.33868649
    -#> 12101    0  1.22408180 -0.69470698   6   sp_10 -0.498319395  1.33868649
    -#> 12111    0  1.22408180 -0.69470698  18   sp_11 -0.498319395  1.33868649
    -#> 12121    0  1.22408180 -0.69470698   2   sp_12 -0.498319395  1.33868649
    -#> 12131    0  1.22408180 -0.69470698   8   sp_13 -0.498319395  1.33868649
    -#> 12141    0  1.22408180 -0.69470698  11   sp_14 -0.498319395  1.33868649
    -#> 12151    0  1.22408180 -0.69470698   7   sp_15 -0.498319395  1.33868649
    -#> 12161    0  1.22408180 -0.69470698  19   sp_16 -0.498319395  1.33868649
    -#> 12171    0  1.22408180 -0.69470698   8   sp_17 -0.498319395  1.33868649
    -#> 12181    1  1.22408180 -0.69470698  10   sp_18 -0.498319395  1.33868649
    -#> 12191    0  1.22408180 -0.69470698   5   sp_19 -0.498319395  1.33868649
    -#> 12201    0  1.22408180 -0.69470698  17   sp_20 -0.498319395  1.33868649
    -#> 12211    1  1.22408180 -0.69470698   6   sp_21 -0.498319395  1.33868649
    -#> 12221    0  1.22408180 -0.69470698   8   sp_22 -0.498319395  1.33868649
    -#> 12231    1  1.22408180 -0.69470698  20   sp_23 -0.498319395  1.33868649
    -#> 12241    0  1.22408180 -0.69470698   6   sp_24 -0.498319395  1.33868649
    -#> 12251    0  1.22408180 -0.69470698  15   sp_25 -0.498319395  1.33868649
    -#> 12261    1  1.22408180 -0.69470698  17   sp_26 -0.498319395  1.33868649
    -#> 12271    0  1.22408180 -0.69470698   3   sp_27 -0.498319395  1.33868649
    -#> 12281    0  1.22408180 -0.69470698  15   sp_28 -0.498319395  1.33868649
    -#> 12291    1  1.22408180 -0.69470698  20   sp_29 -0.498319395  1.33868649
    -#> 12301    0  1.22408180 -0.69470698   1   sp_30 -0.498319395  1.33868649
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    -#> 13231    0  0.35981383 -0.20791728  15    sp_3  0.926885841  1.61114313
    -#> 13241    0  0.35981383 -0.20791728  20    sp_4  0.926885841  1.61114313
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    -#> 13281    0  0.35981383 -0.20791728  10    sp_8  0.926885841  1.61114313
    -#> 13291    0  0.35981383 -0.20791728  19    sp_9  0.926885841  1.61114313
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    -#> 13311    0  0.35981383 -0.20791728   7   sp_11  0.926885841  1.61114313
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    -#> 13331    0  0.35981383 -0.20791728  12   sp_13  0.926885841  1.61114313
    -#> 13341    0  0.35981383 -0.20791728   4   sp_14  0.926885841  1.61114313
    -#> 13351    0  0.35981383 -0.20791728  19   sp_15  0.926885841  1.61114313
    -#> 13361    0  0.35981383 -0.20791728   2   sp_16  0.926885841  1.61114313
    -#> 13371    0  0.35981383 -0.20791728   4   sp_17  0.926885841  1.61114313
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    -#> 13401    0  0.35981383 -0.20791728  19   sp_20  0.926885841  1.61114313
    -#> 13411    1  0.35981383 -0.20791728  18   sp_21  0.926885841  1.61114313
    -#> 13421    0  0.35981383 -0.20791728  16   sp_22  0.926885841  1.61114313
    -#> 13431    1  0.35981383 -0.20791728   3   sp_23  0.926885841  1.61114313
    -#> 13441    0  0.35981383 -0.20791728   1   sp_24  0.926885841  1.61114313
    -#> 13451    0  0.35981383 -0.20791728   2   sp_25  0.926885841  1.61114313
    -#> 13461    0  0.35981383 -0.20791728   2   sp_26  0.926885841  1.61114313
    -#> 13471    0  0.35981383 -0.20791728   8   sp_27  0.926885841  1.61114313
    -#> 13481    0  0.35981383 -0.20791728  20   sp_28  0.926885841  1.61114313
    -#> 13491    0  0.35981383 -0.20791728  14   sp_29  0.926885841  1.61114313
    -#> 13501    0  0.35981383 -0.20791728  13   sp_30  0.926885841  1.61114313
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    -#> 14421    0  0.40077145 -1.26539635   8    sp_2  0.081143100 -0.28723019
    -#> 14431    0  0.40077145 -1.26539635   3    sp_3  0.081143100 -0.28723019
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    -#> 14451    0  0.40077145 -1.26539635   1    sp_5  0.081143100 -0.28723019
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    -#> 14501    1  0.40077145 -1.26539635   5   sp_10  0.081143100 -0.28723019
    -#> 14511    1  0.40077145 -1.26539635  17   sp_11  0.081143100 -0.28723019
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    -#> 14531    0  0.40077145 -1.26539635   4   sp_13  0.081143100 -0.28723019
    -#> 14541    1  0.40077145 -1.26539635  13   sp_14  0.081143100 -0.28723019
    -#> 14551    1  0.40077145 -1.26539635   8   sp_15  0.081143100 -0.28723019
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    -#> 14581    0  0.40077145 -1.26539635  13   sp_18  0.081143100 -0.28723019
    -#> 14591    0  0.40077145 -1.26539635   3   sp_19  0.081143100 -0.28723019
    -#> 14601    1  0.40077145 -1.26539635   7   sp_20  0.081143100 -0.28723019
    -#> 14611    0  0.40077145 -1.26539635   1   sp_21  0.081143100 -0.28723019
    -#> 14621    0  0.40077145 -1.26539635   6   sp_22  0.081143100 -0.28723019
    -#> 14631    1  0.40077145 -1.26539635  13   sp_23  0.081143100 -0.28723019
    -#> 14641    1  0.40077145 -1.26539635  17   sp_24  0.081143100 -0.28723019
    -#> 14651    0  0.40077145 -1.26539635   6   sp_25  0.081143100 -0.28723019
    -#> 14661    1  0.40077145 -1.26539635  10   sp_26  0.081143100 -0.28723019
    -#> 14671    0  0.40077145 -1.26539635  13   sp_27  0.081143100 -0.28723019
    -#> 14681    0  0.40077145 -1.26539635   6   sp_28  0.081143100 -0.28723019
    -#> 14691    1  0.40077145 -1.26539635   9   sp_29  0.081143100 -0.28723019
    -#> 14701    0  0.40077145 -1.26539635   8   sp_30  0.081143100 -0.28723019
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    -#> 15621    0  0.11068272  2.16895597  16    sp_2 -0.114458510  0.94373342
    -#> 15631    0  0.11068272  2.16895597   2    sp_3 -0.114458510  0.94373342
    -#> 15641    0  0.11068272  2.16895597   8    sp_4 -0.114458510  0.94373342
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    -#> 15661    0  0.11068272  2.16895597  12    sp_6 -0.114458510  0.94373342
    -#> 15671    0  0.11068272  2.16895597   8    sp_7 -0.114458510  0.94373342
    -#> 15681    0  0.11068272  2.16895597   9    sp_8 -0.114458510  0.94373342
    -#> 15691    0  0.11068272  2.16895597   8    sp_9 -0.114458510  0.94373342
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    -#> 15711    0  0.11068272  2.16895597  20   sp_11 -0.114458510  0.94373342
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    -#> 15741    0  0.11068272  2.16895597   8   sp_14 -0.114458510  0.94373342
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    -#> 15801    0  0.11068272  2.16895597  20   sp_20 -0.114458510  0.94373342
    -#> 15811    0  0.11068272  2.16895597  14   sp_21 -0.114458510  0.94373342
    -#> 15821    0  0.11068272  2.16895597  16   sp_22 -0.114458510  0.94373342
    -#> 15831    0  0.11068272  2.16895597   7   sp_23 -0.114458510  0.94373342
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    -#> 15851    0  0.11068272  2.16895597  13   sp_25 -0.114458510  0.94373342
    -#> 15861    0  0.11068272  2.16895597  12   sp_26 -0.114458510  0.94373342
    -#> 15871    0  0.11068272  2.16895597  13   sp_27 -0.114458510  0.94373342
    -#> 15881    0  0.11068272  2.16895597  20   sp_28 -0.114458510  0.94373342
    -#> 15891    0  0.11068272  2.16895597  10   sp_29 -0.114458510  0.94373342
    -#> 15901    0  0.11068272  2.16895597   9   sp_30 -0.114458510  0.94373342
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    -#> 16821    0 -0.55584113  1.20796200   8    sp_2 -1.864998020 -1.12347081
    -#> 16831    0 -0.55584113  1.20796200   7    sp_3 -1.864998020 -1.12347081
    -#> 16841    0 -0.55584113  1.20796200  15    sp_4 -1.864998020 -1.12347081
    -#> 16851    0 -0.55584113  1.20796200  19    sp_5 -1.864998020 -1.12347081
    -#> 16861    0 -0.55584113  1.20796200  17    sp_6 -1.864998020 -1.12347081
    -#> 16871    0 -0.55584113  1.20796200  11    sp_7 -1.864998020 -1.12347081
    -#> 16881    0 -0.55584113  1.20796200   7    sp_8 -1.864998020 -1.12347081
    -#> 16891    0 -0.55584113  1.20796200  19    sp_9 -1.864998020 -1.12347081
    -#> 16901    0 -0.55584113  1.20796200   3   sp_10 -1.864998020 -1.12347081
    -#> 16911    0 -0.55584113  1.20796200   6   sp_11 -1.864998020 -1.12347081
    -#> 16921    0 -0.55584113  1.20796200   7   sp_12 -1.864998020 -1.12347081
    -#> 16931    0 -0.55584113  1.20796200   4   sp_13 -1.864998020 -1.12347081
    -#> 16941    1 -0.55584113  1.20796200  10   sp_14 -1.864998020 -1.12347081
    -#> 16951    0 -0.55584113  1.20796200  17   sp_15 -1.864998020 -1.12347081
    -#> 16961    0 -0.55584113  1.20796200  16   sp_16 -1.864998020 -1.12347081
    -#> 16971    0 -0.55584113  1.20796200   8   sp_17 -1.864998020 -1.12347081
    -#> 16981    0 -0.55584113  1.20796200   3   sp_18 -1.864998020 -1.12347081
    -#> 16991    0 -0.55584113  1.20796200  12   sp_19 -1.864998020 -1.12347081
    -#> 17001    0 -0.55584113  1.20796200  14   sp_20 -1.864998020 -1.12347081
    -#> 17011    0 -0.55584113  1.20796200   5   sp_21 -1.864998020 -1.12347081
    -#> 17021    0 -0.55584113  1.20796200  14   sp_22 -1.864998020 -1.12347081
    -#> 17031    0 -0.55584113  1.20796200   6   sp_23 -1.864998020 -1.12347081
    -#> 17041    0 -0.55584113  1.20796200   9   sp_24 -1.864998020 -1.12347081
    -#> 17051    0 -0.55584113  1.20796200   1   sp_25 -1.864998020 -1.12347081
    -#> 17061    0 -0.55584113  1.20796200  20   sp_26 -1.864998020 -1.12347081
    -#> 17071    0 -0.55584113  1.20796200  14   sp_27 -1.864998020 -1.12347081
    -#> 17081    0 -0.55584113  1.20796200  19   sp_28 -1.864998020 -1.12347081
    -#> 17091    0 -0.55584113  1.20796200   5   sp_29 -1.864998020 -1.12347081
    -#> 17101    0 -0.55584113  1.20796200   2   sp_30 -1.864998020 -1.12347081
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    -#> 18021    0  1.78691314 -1.12310858  20    sp_2 -1.421957153  2.26468095
    -#> 18031    0  1.78691314 -1.12310858   4    sp_3 -1.421957153  2.26468095
    -#> 18041    0  1.78691314 -1.12310858  11    sp_4 -1.421957153  2.26468095
    -#> 18051    0  1.78691314 -1.12310858   5    sp_5 -1.421957153  2.26468095
    -#> 18061    0  1.78691314 -1.12310858   4    sp_6 -1.421957153  2.26468095
    -#> 18071    0  1.78691314 -1.12310858  19    sp_7 -1.421957153  2.26468095
    -#> 18081    0  1.78691314 -1.12310858   3    sp_8 -1.421957153  2.26468095
    -#> 18091    0  1.78691314 -1.12310858   1    sp_9 -1.421957153  2.26468095
    -#> 18101    0  1.78691314 -1.12310858   7   sp_10 -1.421957153  2.26468095
    -#> 18111    0  1.78691314 -1.12310858   5   sp_11 -1.421957153  2.26468095
    -#> 18121    0  1.78691314 -1.12310858   9   sp_12 -1.421957153  2.26468095
    -#> 18131    0  1.78691314 -1.12310858  17   sp_13 -1.421957153  2.26468095
    -#> 18141    0  1.78691314 -1.12310858   5   sp_14 -1.421957153  2.26468095
    -#> 18151    0  1.78691314 -1.12310858  12   sp_15 -1.421957153  2.26468095
    -#> 18161    0  1.78691314 -1.12310858   2   sp_16 -1.421957153  2.26468095
    -#> 18171    1  1.78691314 -1.12310858  18   sp_17 -1.421957153  2.26468095
    -#> 18181    0  1.78691314 -1.12310858   4   sp_18 -1.421957153  2.26468095
    -#> 18191    1  1.78691314 -1.12310858  10   sp_19 -1.421957153  2.26468095
    -#> 18201    0  1.78691314 -1.12310858  15   sp_20 -1.421957153  2.26468095
    -#> 18211    0  1.78691314 -1.12310858   8   sp_21 -1.421957153  2.26468095
    -#> 18221    0  1.78691314 -1.12310858   1   sp_22 -1.421957153  2.26468095
    -#> 18231    0  1.78691314 -1.12310858  11   sp_23 -1.421957153  2.26468095
    -#> 18241    0  1.78691314 -1.12310858   5   sp_24 -1.421957153  2.26468095
    -#> 18251    0  1.78691314 -1.12310858  11   sp_25 -1.421957153  2.26468095
    -#> 18261    0  1.78691314 -1.12310858  15   sp_26 -1.421957153  2.26468095
    -#> 18271    0  1.78691314 -1.12310858  15   sp_27 -1.421957153  2.26468095
    -#> 18281    1  1.78691314 -1.12310858  10   sp_28 -1.421957153  2.26468095
    -#> 18291    0  1.78691314 -1.12310858  15   sp_29 -1.421957153  2.26468095
    -#> 18301    0  1.78691314 -1.12310858  15   sp_30 -1.421957153  2.26468095
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    -#> 19221    0  0.49785048 -0.40288484  12    sp_2  0.710841370  0.55646477
    -#> 19231    0  0.49785048 -0.40288484   9    sp_3  0.710841370  0.55646477
    -#> 19241    0  0.49785048 -0.40288484   4    sp_4  0.710841370  0.55646477
    -#> 19251    1  0.49785048 -0.40288484   3    sp_5  0.710841370  0.55646477
    -#> 19261    1  0.49785048 -0.40288484   7    sp_6  0.710841370  0.55646477
    -#> 19271    0  0.49785048 -0.40288484   4    sp_7  0.710841370  0.55646477
    -#> 19281    0  0.49785048 -0.40288484   8    sp_8  0.710841370  0.55646477
    -#> 19291    0  0.49785048 -0.40288484   5    sp_9  0.710841370  0.55646477
    -#> 19301    0  0.49785048 -0.40288484   6   sp_10  0.710841370  0.55646477
    -#> 19311    0  0.49785048 -0.40288484   4   sp_11  0.710841370  0.55646477
    -#> 19321    0  0.49785048 -0.40288484   3   sp_12  0.710841370  0.55646477
    -#> 19331    0  0.49785048 -0.40288484  11   sp_13  0.710841370  0.55646477
    -#> 19341    0  0.49785048 -0.40288484  10   sp_14  0.710841370  0.55646477
    -#> 19351    0  0.49785048 -0.40288484   5   sp_15  0.710841370  0.55646477
    -#> 19361    1  0.49785048 -0.40288484  11   sp_16  0.710841370  0.55646477
    -#> 19371    0  0.49785048 -0.40288484  10   sp_17  0.710841370  0.55646477
    -#> 19381    0  0.49785048 -0.40288484  15   sp_18  0.710841370  0.55646477
    -#> 19391    0  0.49785048 -0.40288484  19   sp_19  0.710841370  0.55646477
    -#> 19401    0  0.49785048 -0.40288484  10   sp_20  0.710841370  0.55646477
    -#> 19411    1  0.49785048 -0.40288484  13   sp_21  0.710841370  0.55646477
    -#> 19421    0  0.49785048 -0.40288484   3   sp_22  0.710841370  0.55646477
    -#> 19431    0  0.49785048 -0.40288484  18   sp_23  0.710841370  0.55646477
    -#> 19441    0  0.49785048 -0.40288484  10   sp_24  0.710841370  0.55646477
    -#> 19451    1  0.49785048 -0.40288484   8   sp_25  0.710841370  0.55646477
    -#> 19461    1  0.49785048 -0.40288484  12   sp_26  0.710841370  0.55646477
    -#> 19471    0  0.49785048 -0.40288484  10   sp_27  0.710841370  0.55646477
    -#> 19481    0  0.49785048 -0.40288484   7   sp_28  0.710841370  0.55646477
    -#> 19491    0  0.49785048 -0.40288484   7   sp_29  0.710841370  0.55646477
    -#> 19501    0  0.49785048 -0.40288484   6   sp_30  0.710841370  0.55646477
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    -#> 20421    0 -1.96661716 -0.46665535  20    sp_2 -1.294813968 -0.28740457
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    -#> 20511    0 -1.96661716 -0.46665535   8   sp_11 -1.294813968 -0.28740457
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    -#> 21781    0  0.70135590  0.77996512   7   sp_18 -1.066032692  1.17589068
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    -#> 21811    0  0.70135590  0.77996512   6   sp_21 -1.066032692  1.17589068
    -#> 21821    0  0.70135590  0.77996512  11   sp_22 -1.066032692  1.17589068
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    -#> 21851    0  0.70135590  0.77996512   7   sp_25 -1.066032692  1.17589068
    -#> 21861    0  0.70135590  0.77996512  12   sp_26 -1.066032692  1.17589068
    -#> 21871    0  0.70135590  0.77996512  19   sp_27 -1.066032692  1.17589068
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    -#> 21891    0  0.70135590  0.77996512   8   sp_29 -1.066032692  1.17589068
    -#> 21901    0  0.70135590  0.77996512  15   sp_30 -1.066032692  1.17589068
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    -#> 23071    0 -0.47279141 -0.08336907  18   sp_27  0.163432374 -0.33967076
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    -#> 24181    0 -1.06782371  0.25331851   3   sp_18  0.915459490 -0.78713906
    -#> 24191    0 -1.06782371  0.25331851   8   sp_19  0.915459490 -0.78713906
    -#> 24201    0 -1.06782371  0.25331851  14   sp_20  0.915459490 -0.78713906
    -#> 24211    0 -1.06782371  0.25331851   9   sp_21  0.915459490 -0.78713906
    -#> 24221    0 -1.06782371  0.25331851  15   sp_22  0.915459490 -0.78713906
    -#> 24231    0 -1.06782371  0.25331851  17   sp_23  0.915459490 -0.78713906
    -#> 24241    1 -1.06782371  0.25331851   7   sp_24  0.915459490 -0.78713906
    -#> 24251    0 -1.06782371  0.25331851   8   sp_25  0.915459490 -0.78713906
    -#> 24261    0 -1.06782371  0.25331851   1   sp_26  0.915459490 -0.78713906
    -#> 24271    0 -1.06782371  0.25331851   9   sp_27  0.915459490 -0.78713906
    -#> 24281    0 -1.06782371  0.25331851   3   sp_28  0.915459490 -0.78713906
    -#> 24291    1 -1.06782371  0.25331851   2   sp_29  0.915459490 -0.78713906
    -#> 24301    0 -1.06782371  0.25331851  11   sp_30  0.915459490 -0.78713906
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    -#> 25221    0 -0.21797491 -0.02854676   8    sp_2 -0.293764363 -0.31146820
    -#> 25231    0 -0.21797491 -0.02854676  20    sp_3 -0.293764363 -0.31146820
    -#> 25241    1 -0.21797491 -0.02854676  11    sp_4 -0.293764363 -0.31146820
    -#> 25251    0 -0.21797491 -0.02854676  18    sp_5 -0.293764363 -0.31146820
    -#> 25261    0 -0.21797491 -0.02854676  14    sp_6 -0.293764363 -0.31146820
    -#> 25271    0 -0.21797491 -0.02854676   3    sp_7 -0.293764363 -0.31146820
    -#> 25281    0 -0.21797491 -0.02854676   3    sp_8 -0.293764363 -0.31146820
    -#> 25291    0 -0.21797491 -0.02854676  14    sp_9 -0.293764363 -0.31146820
    -#> 25301    0 -0.21797491 -0.02854676   7   sp_10 -0.293764363 -0.31146820
    -#> 25311    0 -0.21797491 -0.02854676  15   sp_11 -0.293764363 -0.31146820
    -#> 25321    0 -0.21797491 -0.02854676   8   sp_12 -0.293764363 -0.31146820
    -#> 25331    0 -0.21797491 -0.02854676   1   sp_13 -0.293764363 -0.31146820
    -#> 25341    0 -0.21797491 -0.02854676   5   sp_14 -0.293764363 -0.31146820
    -#> 25351    1 -0.21797491 -0.02854676  17   sp_15 -0.293764363 -0.31146820
    -#> 25361    0 -0.21797491 -0.02854676   6   sp_16 -0.293764363 -0.31146820
    -#> 25371    0 -0.21797491 -0.02854676  10   sp_17 -0.293764363 -0.31146820
    -#> 25381    0 -0.21797491 -0.02854676  12   sp_18 -0.293764363 -0.31146820
    -#> 25391    0 -0.21797491 -0.02854676   8   sp_19 -0.293764363 -0.31146820
    -#> 25401    0 -0.21797491 -0.02854676  16   sp_20 -0.293764363 -0.31146820
    -#> 25411    1 -0.21797491 -0.02854676   7   sp_21 -0.293764363 -0.31146820
    -#> 25421    0 -0.21797491 -0.02854676   7   sp_22 -0.293764363 -0.31146820
    -#> 25431    0 -0.21797491 -0.02854676   1   sp_23 -0.293764363 -0.31146820
    -#> 25441    0 -0.21797491 -0.02854676  11   sp_24 -0.293764363 -0.31146820
    -#> 25451    0 -0.21797491 -0.02854676   3   sp_25 -0.293764363 -0.31146820
    -#> 25461    0 -0.21797491 -0.02854676  17   sp_26 -0.293764363 -0.31146820
    -#> 25471    0 -0.21797491 -0.02854676  20   sp_27 -0.293764363 -0.31146820
    -#> 25481    0 -0.21797491 -0.02854676   3   sp_28 -0.293764363 -0.31146820
    -#> 25491    0 -0.21797491 -0.02854676  14   sp_29 -0.293764363 -0.31146820
    -#> 25501    0 -0.21797491 -0.02854676   5   sp_30 -0.293764363 -0.31146820
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    -#> 26431    0 -1.02600445 -0.04287046  20    sp_3  0.829990553  0.16243481
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    -#> 26451    1 -1.02600445 -0.04287046  18    sp_5  0.829990553  0.16243481
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    -#> 26471    0 -1.02600445 -0.04287046   9    sp_7  0.829990553  0.16243481
    -#> 26481    0 -1.02600445 -0.04287046   3    sp_8  0.829990553  0.16243481
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    -#> 26501    0 -1.02600445 -0.04287046  16   sp_10  0.829990553  0.16243481
    -#> 26511    0 -1.02600445 -0.04287046  20   sp_11  0.829990553  0.16243481
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    -#> 26531    0 -1.02600445 -0.04287046   3   sp_13  0.829990553  0.16243481
    -#> 26541    0 -1.02600445 -0.04287046  13   sp_14  0.829990553  0.16243481
    -#> 26551    0 -1.02600445 -0.04287046   4   sp_15  0.829990553  0.16243481
    -#> 26561    0 -1.02600445 -0.04287046  15   sp_16  0.829990553  0.16243481
    -#> 26571    0 -1.02600445 -0.04287046  19   sp_17  0.829990553  0.16243481
    -#> 26581    0 -1.02600445 -0.04287046  13   sp_18  0.829990553  0.16243481
    -#> 26591    0 -1.02600445 -0.04287046  12   sp_19  0.829990553  0.16243481
    -#> 26601    0 -1.02600445 -0.04287046  20   sp_20  0.829990553  0.16243481
    -#> 26611    0 -1.02600445 -0.04287046  13   sp_21  0.829990553  0.16243481
    -#> 26621    0 -1.02600445 -0.04287046  13   sp_22  0.829990553  0.16243481
    -#> 26631    0 -1.02600445 -0.04287046   3   sp_23  0.829990553  0.16243481
    -#> 26641    0 -1.02600445 -0.04287046  20   sp_24  0.829990553  0.16243481
    -#> 26651    0 -1.02600445 -0.04287046   5   sp_25  0.829990553  0.16243481
    -#> 26661    0 -1.02600445 -0.04287046  13   sp_26  0.829990553  0.16243481
    -#> 26671    0 -1.02600445 -0.04287046  12   sp_27  0.829990553  0.16243481
    -#> 26681    0 -1.02600445 -0.04287046   8   sp_28  0.829990553  0.16243481
    -#> 26691    0 -1.02600445 -0.04287046   6   sp_29  0.829990553  0.16243481
    -#> 26701    1 -1.02600445 -0.04287046  16   sp_30  0.829990553  0.16243481
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    -#> 27621    0 -0.72889123  1.36860228  12    sp_2 -1.259322145  0.89326994
    -#> 27631    0 -0.72889123  1.36860228  16    sp_3 -1.259322145  0.89326994
    -#> 27641    0 -0.72889123  1.36860228  15    sp_4 -1.259322145  0.89326994
    -#> 27651    0 -0.72889123  1.36860228   1    sp_5 -1.259322145  0.89326994
    -#> 27661    0 -0.72889123  1.36860228  12    sp_6 -1.259322145  0.89326994
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    -#> 27701    0 -0.72889123  1.36860228   9   sp_10 -1.259322145  0.89326994
    -#> 27711    0 -0.72889123  1.36860228  20   sp_11 -1.259322145  0.89326994
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    -#> 27731    0 -0.72889123  1.36860228   9   sp_13 -1.259322145  0.89326994
    -#> 27741    0 -0.72889123  1.36860228  19   sp_14 -1.259322145  0.89326994
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    -#> 27761    0 -0.72889123  1.36860228   2   sp_16 -1.259322145  0.89326994
    -#> 27771    0 -0.72889123  1.36860228  12   sp_17 -1.259322145  0.89326994
    -#> 27781    0 -0.72889123  1.36860228  15   sp_18 -1.259322145  0.89326994
    -#> 27791    0 -0.72889123  1.36860228  17   sp_19 -1.259322145  0.89326994
    -#> 27801    0 -0.72889123  1.36860228   3   sp_20 -1.259322145  0.89326994
    -#> 27811    0 -0.72889123  1.36860228   7   sp_21 -1.259322145  0.89326994
    -#> 27821    0 -0.72889123  1.36860228  13   sp_22 -1.259322145  0.89326994
    -#> 27831    0 -0.72889123  1.36860228  14   sp_23 -1.259322145  0.89326994
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    -#> 27881    0 -0.72889123  1.36860228  10   sp_28 -1.259322145  0.89326994
    -#> 27891    0 -0.72889123  1.36860228   9   sp_29 -1.259322145  0.89326994
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    -#> 31491    0  0.83778704 -1.54875280   9   sp_29 -0.533239399  1.03360032
    -#> 31501    0  0.83778704 -1.54875280   5   sp_30 -0.533239399  1.03360032
    -#> 32411    0  0.15337312  0.58461375  14    sp_1  0.306420867 -0.23808313
    -#> 32421    0  0.15337312  0.58461375  12    sp_2  0.306420867 -0.23808313
    -#> 32431    1  0.15337312  0.58461375  14    sp_3  0.306420867 -0.23808313
    -#> 32441    0  0.15337312  0.58461375  13    sp_4  0.306420867 -0.23808313
    -#> 32451    0  0.15337312  0.58461375  20    sp_5  0.306420867 -0.23808313
    -#> 32461    0  0.15337312  0.58461375  15    sp_6  0.306420867 -0.23808313
    -#> 32471    0  0.15337312  0.58461375   8    sp_7  0.306420867 -0.23808313
    -#> 32481    0  0.15337312  0.58461375  13    sp_8  0.306420867 -0.23808313
    -#> 32491    0  0.15337312  0.58461375   7    sp_9  0.306420867 -0.23808313
    -#> 32501    0  0.15337312  0.58461375   5   sp_10  0.306420867 -0.23808313
    -#> 32511    0  0.15337312  0.58461375   8   sp_11  0.306420867 -0.23808313
    -#> 32521    0  0.15337312  0.58461375  15   sp_12  0.306420867 -0.23808313
    -#> 32531    0  0.15337312  0.58461375  14   sp_13  0.306420867 -0.23808313
    -#> 32541    0  0.15337312  0.58461375  16   sp_14  0.306420867 -0.23808313
    -#> 32551    0  0.15337312  0.58461375   1   sp_15  0.306420867 -0.23808313
    -#> 32561    0  0.15337312  0.58461375  14   sp_16  0.306420867 -0.23808313
    -#> 32571    0  0.15337312  0.58461375  17   sp_17  0.306420867 -0.23808313
    -#> 32581    1  0.15337312  0.58461375   7   sp_18  0.306420867 -0.23808313
    -#> 32591    0  0.15337312  0.58461375   7   sp_19  0.306420867 -0.23808313
    -#> 32601    0  0.15337312  0.58461375  13   sp_20  0.306420867 -0.23808313
    -#> 32611    0  0.15337312  0.58461375  15   sp_21  0.306420867 -0.23808313
    -#> 32621    0  0.15337312  0.58461375  12   sp_22  0.306420867 -0.23808313
    -#> 32631    0  0.15337312  0.58461375  14   sp_23  0.306420867 -0.23808313
    -#> 32641    0  0.15337312  0.58461375  19   sp_24  0.306420867 -0.23808313
    -#> 32651    0  0.15337312  0.58461375  19   sp_25  0.306420867 -0.23808313
    -#> 32661    0  0.15337312  0.58461375  17   sp_26  0.306420867 -0.23808313
    -#> 32671    0  0.15337312  0.58461375   9   sp_27  0.306420867 -0.23808313
    -#> 32681    0  0.15337312  0.58461375  13   sp_28  0.306420867 -0.23808313
    -#> 32691    0  0.15337312  0.58461375  14   sp_29  0.306420867 -0.23808313
    -#> 32701    0  0.15337312  0.58461375   6   sp_30  0.306420867 -0.23808313
    -#> 33611    0 -1.13813694  0.12385424   1    sp_1  1.205383826  0.60383887
    -#> 33621    0 -1.13813694  0.12385424  16    sp_2  1.205383826  0.60383887
    -#> 33631    0 -1.13813694  0.12385424   8    sp_3  1.205383826  0.60383887
    -#> 33641    0 -1.13813694  0.12385424   5    sp_4  1.205383826  0.60383887
    -#> 33651    0 -1.13813694  0.12385424  10    sp_5  1.205383826  0.60383887
    -#> 33661    0 -1.13813694  0.12385424   9    sp_6  1.205383826  0.60383887
    -#> 33671    0 -1.13813694  0.12385424   5    sp_7  1.205383826  0.60383887
    -#> 33681    0 -1.13813694  0.12385424  14    sp_8  1.205383826  0.60383887
    -#> 33691    0 -1.13813694  0.12385424  19    sp_9  1.205383826  0.60383887
    -#> 33701    0 -1.13813694  0.12385424   1   sp_10  1.205383826  0.60383887
    -#> 33711    0 -1.13813694  0.12385424  16   sp_11  1.205383826  0.60383887
    -#> 33721    0 -1.13813694  0.12385424   6   sp_12  1.205383826  0.60383887
    -#> 33731    0 -1.13813694  0.12385424  20   sp_13  1.205383826  0.60383887
    -#> 33741    0 -1.13813694  0.12385424   8   sp_14  1.205383826  0.60383887
    -#> 33751    0 -1.13813694  0.12385424  14   sp_15  1.205383826  0.60383887
    -#> 33761    0 -1.13813694  0.12385424  14   sp_16  1.205383826  0.60383887
    -#> 33771    0 -1.13813694  0.12385424   8   sp_17  1.205383826  0.60383887
    -#> 33781    0 -1.13813694  0.12385424  11   sp_18  1.205383826  0.60383887
    -#> 33791    1 -1.13813694  0.12385424  20   sp_19  1.205383826  0.60383887
    -#> 33801    0 -1.13813694  0.12385424   5   sp_20  1.205383826  0.60383887
    -#> 33811    0 -1.13813694  0.12385424  14   sp_21  1.205383826  0.60383887
    -#> 33821    0 -1.13813694  0.12385424   1   sp_22  1.205383826  0.60383887
    -#> 33831    0 -1.13813694  0.12385424   1   sp_23  1.205383826  0.60383887
    -#> 33841    0 -1.13813694  0.12385424   5   sp_24  1.205383826  0.60383887
    -#> 33851    0 -1.13813694  0.12385424   3   sp_25  1.205383826  0.60383887
    -#> 33861    0 -1.13813694  0.12385424   4   sp_26  1.205383826  0.60383887
    -#> 33871    0 -1.13813694  0.12385424   3   sp_27  1.205383826  0.60383887
    -#> 33881    0 -1.13813694  0.12385424  14   sp_28  1.205383826  0.60383887
    -#> 33891    1 -1.13813694  0.12385424  18   sp_29  1.205383826  0.60383887
    -#> 33901    0 -1.13813694  0.12385424  10   sp_30  1.205383826  0.60383887
    -#> 34811    1  1.25381492  0.21594157  12    sp_1 -1.002725787  0.52440358
    -#> 34821    0  1.25381492  0.21594157  16    sp_2 -1.002725787  0.52440358
    -#> 34831    0  1.25381492  0.21594157   3    sp_3 -1.002725787  0.52440358
    -#> 34841    0  1.25381492  0.21594157  12    sp_4 -1.002725787  0.52440358
    -#> 34851    0  1.25381492  0.21594157   5    sp_5 -1.002725787  0.52440358
    -#> 34861    0  1.25381492  0.21594157  13    sp_6 -1.002725787  0.52440358
    -#> 34871    0  1.25381492  0.21594157   8    sp_7 -1.002725787  0.52440358
    -#> 34881    0  1.25381492  0.21594157  17    sp_8 -1.002725787  0.52440358
    -#> 34891    0  1.25381492  0.21594157   5    sp_9 -1.002725787  0.52440358
    -#> 34901    0  1.25381492  0.21594157  19   sp_10 -1.002725787  0.52440358
    -#> 34911    0  1.25381492  0.21594157   6   sp_11 -1.002725787  0.52440358
    -#> 34921    0  1.25381492  0.21594157   2   sp_12 -1.002725787  0.52440358
    -#> 34931    0  1.25381492  0.21594157  17   sp_13 -1.002725787  0.52440358
    -#> 34941    0  1.25381492  0.21594157  17   sp_14 -1.002725787  0.52440358
    -#> 34951    0  1.25381492  0.21594157   8   sp_15 -1.002725787  0.52440358
    -#> 34961    0  1.25381492  0.21594157  19   sp_16 -1.002725787  0.52440358
    -#> 34971    1  1.25381492  0.21594157  18   sp_17 -1.002725787  0.52440358
    -#> 34981    0  1.25381492  0.21594157  19   sp_18 -1.002725787  0.52440358
    -#> 34991    0  1.25381492  0.21594157   5   sp_19 -1.002725787  0.52440358
    -#> 35001    0  1.25381492  0.21594157  14   sp_20 -1.002725787  0.52440358
    -#> 35011    0  1.25381492  0.21594157  12   sp_21 -1.002725787  0.52440358
    -#> 35021    0  1.25381492  0.21594157   1   sp_22 -1.002725787  0.52440358
    -#> 35031    0  1.25381492  0.21594157  16   sp_23 -1.002725787  0.52440358
    -#> 35041    0  1.25381492  0.21594157  18   sp_24 -1.002725787  0.52440358
    -#> 35051    0  1.25381492  0.21594157  20   sp_25 -1.002725787  0.52440358
    -#> 35061    0  1.25381492  0.21594157   7   sp_26 -1.002725787  0.52440358
    -#> 35071    1  1.25381492  0.21594157   5   sp_27 -1.002725787  0.52440358
    -#> 35081    0  1.25381492  0.21594157  10   sp_28 -1.002725787  0.52440358
    -#> 35091    0  1.25381492  0.21594157   4   sp_29 -1.002725787  0.52440358
    -#> 35101    0  1.25381492  0.21594157   8   sp_30 -1.002725787  0.52440358
    -#> 112      0 -0.56047565  0.42646422   7    sp_1 -0.892245924 -0.63765962
    -#> 212      0 -0.56047565  0.42646422   3    sp_2 -0.892245924 -0.63765962
    -#> 32       0 -0.56047565  0.42646422  15    sp_3 -0.892245924 -0.63765962
    -#> 42       0 -0.56047565  0.42646422   5    sp_4 -0.892245924 -0.63765962
    -#> 52       0 -0.56047565  0.42646422   8    sp_5 -0.892245924 -0.63765962
    -#> 62       0 -0.56047565  0.42646422  19    sp_6 -0.892245924 -0.63765962
    -#> 72       0 -0.56047565  0.42646422  10    sp_7 -0.892245924 -0.63765962
    -#> 82       0 -0.56047565  0.42646422  18    sp_8 -0.892245924 -0.63765962
    -#> 92       0 -0.56047565  0.42646422  10    sp_9 -0.892245924 -0.63765962
    -#> 102      0 -0.56047565  0.42646422  12   sp_10 -0.892245924 -0.63765962
    -#> 113      0 -0.56047565  0.42646422   2   sp_11 -0.892245924 -0.63765962
    -#> 1233     0 -0.56047565  0.42646422  10   sp_12 -0.892245924 -0.63765962
    -#> 1312     1 -0.56047565  0.42646422  12   sp_13 -0.892245924 -0.63765962
    -#> 1412     0 -0.56047565  0.42646422  20   sp_14 -0.892245924 -0.63765962
    -#> 152      0 -0.56047565  0.42646422  14   sp_15 -0.892245924 -0.63765962
    -#> 162      0 -0.56047565  0.42646422  17   sp_16 -0.892245924 -0.63765962
    -#> 172      0 -0.56047565  0.42646422  14   sp_17 -0.892245924 -0.63765962
    -#> 182      0 -0.56047565  0.42646422   3   sp_18 -0.892245924 -0.63765962
    -#> 192      0 -0.56047565  0.42646422   8   sp_19 -0.892245924 -0.63765962
    -#> 202      0 -0.56047565  0.42646422  14   sp_20 -0.892245924 -0.63765962
    -#> 213      0 -0.56047565  0.42646422  19   sp_21 -0.892245924 -0.63765962
    -#> 222      0 -0.56047565  0.42646422  15   sp_22 -0.892245924 -0.63765962
    -#> 232      0 -0.56047565  0.42646422  17   sp_23 -0.892245924 -0.63765962
    -#> 2433     0 -0.56047565  0.42646422  11   sp_24 -0.892245924 -0.63765962
    -#> 2512     0 -0.56047565  0.42646422   7   sp_25 -0.892245924 -0.63765962
    -#> 2612     0 -0.56047565  0.42646422  15   sp_26 -0.892245924 -0.63765962
    -#> 272      0 -0.56047565  0.42646422   6   sp_27 -0.892245924 -0.63765962
    -#> 282      0 -0.56047565  0.42646422  14   sp_28 -0.892245924 -0.63765962
    -#> 292      0 -0.56047565  0.42646422   7   sp_29 -0.892245924 -0.63765962
    -#> 302      0 -0.56047565  0.42646422  10   sp_30 -0.892245924 -0.63765962
    -#> 12112    0 -0.23017749 -0.29507148   5    sp_1  0.030148911 -0.84353812
    -#> 12212    0 -0.23017749 -0.29507148   6    sp_2  0.030148911 -0.84353812
    -#> 1234     0 -0.23017749 -0.29507148  16    sp_3  0.030148911 -0.84353812
    -#> 1242     0 -0.23017749 -0.29507148  11    sp_4  0.030148911 -0.84353812
    -#> 1252     0 -0.23017749 -0.29507148   4    sp_5  0.030148911 -0.84353812
    -#> 1262     0 -0.23017749 -0.29507148  12    sp_6  0.030148911 -0.84353812
    -#> 1272     1 -0.23017749 -0.29507148  14    sp_7  0.030148911 -0.84353812
    -#> 1282     0 -0.23017749 -0.29507148  19    sp_8  0.030148911 -0.84353812
    -#> 1292     0 -0.23017749 -0.29507148   7    sp_9  0.030148911 -0.84353812
    -#> 1302     0 -0.23017749 -0.29507148   9   sp_10  0.030148911 -0.84353812
    -#> 1313     0 -0.23017749 -0.29507148   7   sp_11  0.030148911 -0.84353812
    -#> 13212    1 -0.23017749 -0.29507148   2   sp_12  0.030148911 -0.84353812
    -#> 13312    0 -0.23017749 -0.29507148  16   sp_13  0.030148911 -0.84353812
    -#> 13412    0 -0.23017749 -0.29507148  13   sp_14  0.030148911 -0.84353812
    -#> 1352     0 -0.23017749 -0.29507148  19   sp_15  0.030148911 -0.84353812
    -#> 1362     1 -0.23017749 -0.29507148  20   sp_16  0.030148911 -0.84353812
    -#> 1372     0 -0.23017749 -0.29507148  15   sp_17  0.030148911 -0.84353812
    -#> 1382     0 -0.23017749 -0.29507148   7   sp_18  0.030148911 -0.84353812
    -#> 1392     0 -0.23017749 -0.29507148   4   sp_19  0.030148911 -0.84353812
    -#> 1402     0 -0.23017749 -0.29507148   1   sp_20  0.030148911 -0.84353812
    -#> 1413     0 -0.23017749 -0.29507148   8   sp_21  0.030148911 -0.84353812
    -#> 1422     1 -0.23017749 -0.29507148  20   sp_22  0.030148911 -0.84353812
    -#> 1432     1 -0.23017749 -0.29507148  16   sp_23  0.030148911 -0.84353812
    -#> 14412    0 -0.23017749 -0.29507148  11   sp_24  0.030148911 -0.84353812
    -#> 14512    0 -0.23017749 -0.29507148  16   sp_25  0.030148911 -0.84353812
    -#> 14612    0 -0.23017749 -0.29507148  20   sp_26  0.030148911 -0.84353812
    -#> 1472     0 -0.23017749 -0.29507148   8   sp_27  0.030148911 -0.84353812
    -#> 1482     0 -0.23017749 -0.29507148   3   sp_28  0.030148911 -0.84353812
    -#> 1492     0 -0.23017749 -0.29507148   4   sp_29  0.030148911 -0.84353812
    -#> 1502     0 -0.23017749 -0.29507148  20   sp_30  0.030148911 -0.84353812
    -#> 24112    0  1.55870831  0.89512566  12    sp_1 -0.421998576 -0.60935167
    -#> 24212    1  1.55870831  0.89512566  17    sp_2 -0.421998576 -0.60935167
    -#> 2434     0  1.55870831  0.89512566  10    sp_3 -0.421998576 -0.60935167
    -#> 2442     1  1.55870831  0.89512566  20    sp_4 -0.421998576 -0.60935167
    -#> 2452     1  1.55870831  0.89512566  11    sp_5 -0.421998576 -0.60935167
    -#> 2462     1  1.55870831  0.89512566   8    sp_6 -0.421998576 -0.60935167
    -#> 2472     1  1.55870831  0.89512566  14    sp_7 -0.421998576 -0.60935167
    -#> 2482     0  1.55870831  0.89512566  13    sp_8 -0.421998576 -0.60935167
    -#> 2492     1  1.55870831  0.89512566   2    sp_9 -0.421998576 -0.60935167
    -#> 2502     0  1.55870831  0.89512566  11   sp_10 -0.421998576 -0.60935167
    -#> 2513     0  1.55870831  0.89512566  13   sp_11 -0.421998576 -0.60935167
    -#> 25212    1  1.55870831  0.89512566  14   sp_12 -0.421998576 -0.60935167
    -#> 25312    0  1.55870831  0.89512566   6   sp_13 -0.421998576 -0.60935167
    -#> 25412    0  1.55870831  0.89512566   8   sp_14 -0.421998576 -0.60935167
    -#> 2552     1  1.55870831  0.89512566  12   sp_15 -0.421998576 -0.60935167
    -#> 2562     0  1.55870831  0.89512566   4   sp_16 -0.421998576 -0.60935167
    -#> 2572     0  1.55870831  0.89512566  13   sp_17 -0.421998576 -0.60935167
    -#> 2582     0  1.55870831  0.89512566  14   sp_18 -0.421998576 -0.60935167
    -#> 2592     0  1.55870831  0.89512566  16   sp_19 -0.421998576 -0.60935167
    -#> 2602     0  1.55870831  0.89512566   1   sp_20 -0.421998576 -0.60935167
    -#> 2613     0  1.55870831  0.89512566   8   sp_21 -0.421998576 -0.60935167
    -#> 2622     0  1.55870831  0.89512566   8   sp_22 -0.421998576 -0.60935167
    -#> 2632     0  1.55870831  0.89512566  10   sp_23 -0.421998576 -0.60935167
    -#> 26412    0  1.55870831  0.89512566   8   sp_24 -0.421998576 -0.60935167
    -#> 26512    0  1.55870831  0.89512566  18   sp_25 -0.421998576 -0.60935167
    -#> 26612    0  1.55870831  0.89512566   9   sp_26 -0.421998576 -0.60935167
    -#> 2672     1  1.55870831  0.89512566   7   sp_27 -0.421998576 -0.60935167
    -#> 2682     0  1.55870831  0.89512566   7   sp_28 -0.421998576 -0.60935167
    -#> 2692     1  1.55870831  0.89512566  10   sp_29 -0.421998576 -0.60935167
    -#> 2702     0  1.55870831  0.89512566  11   sp_30 -0.421998576 -0.60935167
    -#> 3612     0  0.07050839  0.87813349   1    sp_1 -0.247425100 -1.79048626
    -#> 3622     0  0.07050839  0.87813349  19    sp_2 -0.247425100 -1.79048626
    -#> 3632     0  0.07050839  0.87813349  10    sp_3 -0.247425100 -1.79048626
    -#> 3642     0  0.07050839  0.87813349  13    sp_4 -0.247425100 -1.79048626
    -#> 3652     1  0.07050839  0.87813349  11    sp_5 -0.247425100 -1.79048626
    -#> 3662     0  0.07050839  0.87813349  11    sp_6 -0.247425100 -1.79048626
    -#> 3672     0  0.07050839  0.87813349  20    sp_7 -0.247425100 -1.79048626
    -#> 3682     0  0.07050839  0.87813349   7    sp_8 -0.247425100 -1.79048626
    -#> 3692     0  0.07050839  0.87813349  20    sp_9 -0.247425100 -1.79048626
    -#> 3702     0  0.07050839  0.87813349   9   sp_10 -0.247425100 -1.79048626
    -#> 3712     0  0.07050839  0.87813349   9   sp_11 -0.247425100 -1.79048626
    -#> 3722     0  0.07050839  0.87813349   5   sp_12 -0.247425100 -1.79048626
    -#> 3732     1  0.07050839  0.87813349  14   sp_13 -0.247425100 -1.79048626
    -#> 3742     0  0.07050839  0.87813349  14   sp_14 -0.247425100 -1.79048626
    -#> 3752     0  0.07050839  0.87813349   6   sp_15 -0.247425100 -1.79048626
    -#> 3762     0  0.07050839  0.87813349   1   sp_16 -0.247425100 -1.79048626
    -#> 3772     0  0.07050839  0.87813349  10   sp_17 -0.247425100 -1.79048626
    -#> 3782     1  0.07050839  0.87813349  17   sp_18 -0.247425100 -1.79048626
    -#> 3792     1  0.07050839  0.87813349  17   sp_19 -0.247425100 -1.79048626
    -#> 3802     0  0.07050839  0.87813349   7   sp_20 -0.247425100 -1.79048626
    -#> 3812     0  0.07050839  0.87813349   9   sp_21 -0.247425100 -1.79048626
    -#> 3822     0  0.07050839  0.87813349  20   sp_22 -0.247425100 -1.79048626
    -#> 3832     0  0.07050839  0.87813349   6   sp_23 -0.247425100 -1.79048626
    -#> 3842     0  0.07050839  0.87813349  18   sp_24 -0.247425100 -1.79048626
    -#> 3852     0  0.07050839  0.87813349  17   sp_25 -0.247425100 -1.79048626
    -#> 3862     0  0.07050839  0.87813349   5   sp_26 -0.247425100 -1.79048626
    -#> 3872     1  0.07050839  0.87813349  20   sp_27 -0.247425100 -1.79048626
    -#> 3882     0  0.07050839  0.87813349   3   sp_28 -0.247425100 -1.79048626
    -#> 3892     0  0.07050839  0.87813349  14   sp_29 -0.247425100 -1.79048626
    -#> 3902     0  0.07050839  0.87813349   1   sp_30 -0.247425100 -1.79048626
    -#> 4812     1  0.12928774  0.82158108   2    sp_1  0.644151150 -0.23984666
    -#> 4822     0  0.12928774  0.82158108   4    sp_2  0.644151150 -0.23984666
    -#> 4832     0  0.12928774  0.82158108  10    sp_3  0.644151150 -0.23984666
    -#> 4842     0  0.12928774  0.82158108   1    sp_4  0.644151150 -0.23984666
    -#> 4852     0  0.12928774  0.82158108   5    sp_5  0.644151150 -0.23984666
    -#> 4862     0  0.12928774  0.82158108   8    sp_6  0.644151150 -0.23984666
    -#> 4872     0  0.12928774  0.82158108  13    sp_7  0.644151150 -0.23984666
    -#> 4882     0  0.12928774  0.82158108  18    sp_8  0.644151150 -0.23984666
    -#> 4892     0  0.12928774  0.82158108  10    sp_9  0.644151150 -0.23984666
    -#> 4902     0  0.12928774  0.82158108   6   sp_10  0.644151150 -0.23984666
    -#> 4912     1  0.12928774  0.82158108   7   sp_11  0.644151150 -0.23984666
    -#> 4922     0  0.12928774  0.82158108   9   sp_12  0.644151150 -0.23984666
    -#> 4932     0  0.12928774  0.82158108  16   sp_13  0.644151150 -0.23984666
    -#> 4942     1  0.12928774  0.82158108  17   sp_14  0.644151150 -0.23984666
    -#> 4952     0  0.12928774  0.82158108  13   sp_15  0.644151150 -0.23984666
    -#> 4962     0  0.12928774  0.82158108   8   sp_16  0.644151150 -0.23984666
    -#> 4972     0  0.12928774  0.82158108   7   sp_17  0.644151150 -0.23984666
    -#> 4982     0  0.12928774  0.82158108  20   sp_18  0.644151150 -0.23984666
    -#> 4992     0  0.12928774  0.82158108  18   sp_19  0.644151150 -0.23984666
    -#> 5002     0  0.12928774  0.82158108  17   sp_20  0.644151150 -0.23984666
    -#> 5012     0  0.12928774  0.82158108   1   sp_21  0.644151150 -0.23984666
    -#> 5022     0  0.12928774  0.82158108   2   sp_22  0.644151150 -0.23984666
    -#> 5032     0  0.12928774  0.82158108  17   sp_23  0.644151150 -0.23984666
    -#> 5042     0  0.12928774  0.82158108   2   sp_24  0.644151150 -0.23984666
    -#> 5052     0  0.12928774  0.82158108  13   sp_25  0.644151150 -0.23984666
    -#> 5062     0  0.12928774  0.82158108  17   sp_26  0.644151150 -0.23984666
    -#> 5072     0  0.12928774  0.82158108   3   sp_27  0.644151150 -0.23984666
    -#> 5082     0  0.12928774  0.82158108  18   sp_28  0.644151150 -0.23984666
    -#> 5092     1  0.12928774  0.82158108   2   sp_29  0.644151150 -0.23984666
    -#> 5102     0  0.12928774  0.82158108   5   sp_30  0.644151150 -0.23984666
    -#> 6012     0  1.71506499  0.68864025  12    sp_1  0.218513365  1.48442693
    -#> 6022     0  1.71506499  0.68864025  13    sp_2  0.218513365  1.48442693
    -#> 6032     0  1.71506499  0.68864025  10    sp_3  0.218513365  1.48442693
    -#> 6042     1  1.71506499  0.68864025   6    sp_4  0.218513365  1.48442693
    -#> 6052     0  1.71506499  0.68864025  10    sp_5  0.218513365  1.48442693
    -#> 6062     0  1.71506499  0.68864025  10    sp_6  0.218513365  1.48442693
    -#> 6072     0  1.71506499  0.68864025   6    sp_7  0.218513365  1.48442693
    -#> 6082     0  1.71506499  0.68864025  16    sp_8  0.218513365  1.48442693
    -#> 6092     0  1.71506499  0.68864025  16    sp_9  0.218513365  1.48442693
    -#> 6102     0  1.71506499  0.68864025   3   sp_10  0.218513365  1.48442693
    -#> 6112     0  1.71506499  0.68864025   4   sp_11  0.218513365  1.48442693
    -#> 6122     1  1.71506499  0.68864025   3   sp_12  0.218513365  1.48442693
    -#> 6132     0  1.71506499  0.68864025   3   sp_13  0.218513365  1.48442693
    -#> 6142     0  1.71506499  0.68864025  16   sp_14  0.218513365  1.48442693
    -#> 6152     0  1.71506499  0.68864025   2   sp_15  0.218513365  1.48442693
    -#> 6162     0  1.71506499  0.68864025  15   sp_16  0.218513365  1.48442693
    -#> 6172     0  1.71506499  0.68864025   3   sp_17  0.218513365  1.48442693
    -#> 6182     0  1.71506499  0.68864025   9   sp_18  0.218513365  1.48442693
    -#> 6192     0  1.71506499  0.68864025   7   sp_19  0.218513365  1.48442693
    -#> 6202     0  1.71506499  0.68864025   9   sp_20  0.218513365  1.48442693
    -#> 6212     0  1.71506499  0.68864025   4   sp_21  0.218513365  1.48442693
    -#> 6222     0  1.71506499  0.68864025   2   sp_22  0.218513365  1.48442693
    -#> 6232     0  1.71506499  0.68864025  12   sp_23  0.218513365  1.48442693
    -#> 6242     0  1.71506499  0.68864025   9   sp_24  0.218513365  1.48442693
    -#> 6252     0  1.71506499  0.68864025  11   sp_25  0.218513365  1.48442693
    -#> 6262     0  1.71506499  0.68864025   7   sp_26  0.218513365  1.48442693
    -#> 6272     0  1.71506499  0.68864025  13   sp_27  0.218513365  1.48442693
    -#> 6282     1  1.71506499  0.68864025   5   sp_28  0.218513365  1.48442693
    -#> 6292     0  1.71506499  0.68864025  11   sp_29  0.218513365  1.48442693
    -#> 6302     0  1.71506499  0.68864025   1   sp_30  0.218513365  1.48442693
    -#> 7212     0  0.46091621  0.55391765  19    sp_1  1.524904741  0.66138217
    -#> 7222     1  0.46091621  0.55391765  12    sp_2  1.524904741  0.66138217
    -#> 7232     0  0.46091621  0.55391765   2    sp_3  1.524904741  0.66138217
    -#> 7242     0  0.46091621  0.55391765  17    sp_4  1.524904741  0.66138217
    -#> 7252     1  0.46091621  0.55391765  12    sp_5  1.524904741  0.66138217
    -#> 7262     0  0.46091621  0.55391765   3    sp_6  1.524904741  0.66138217
    -#> 7272     0  0.46091621  0.55391765  18    sp_7  1.524904741  0.66138217
    -#> 7282     0  0.46091621  0.55391765  15    sp_8  1.524904741  0.66138217
    -#> 7292     0  0.46091621  0.55391765   3    sp_9  1.524904741  0.66138217
    -#> 7302     0  0.46091621  0.55391765  19   sp_10  1.524904741  0.66138217
    -#> 7312     0  0.46091621  0.55391765  18   sp_11  1.524904741  0.66138217
    -#> 7322     0  0.46091621  0.55391765  17   sp_12  1.524904741  0.66138217
    -#> 7332     0  0.46091621  0.55391765   6   sp_13  1.524904741  0.66138217
    -#> 7342     0  0.46091621  0.55391765  10   sp_14  1.524904741  0.66138217
    -#> 7352     0  0.46091621  0.55391765   8   sp_15  1.524904741  0.66138217
    -#> 7362     0  0.46091621  0.55391765  10   sp_16  1.524904741  0.66138217
    -#> 7372     0  0.46091621  0.55391765  13   sp_17  1.524904741  0.66138217
    -#> 7382     1  0.46091621  0.55391765  20   sp_18  1.524904741  0.66138217
    -#> 7392     0  0.46091621  0.55391765   6   sp_19  1.524904741  0.66138217
    -#> 7402     0  0.46091621  0.55391765  20   sp_20  1.524904741  0.66138217
    -#> 7412     0  0.46091621  0.55391765  20   sp_21  1.524904741  0.66138217
    -#> 7422     0  0.46091621  0.55391765   9   sp_22  1.524904741  0.66138217
    -#> 7432     1  0.46091621  0.55391765  16   sp_23  1.524904741  0.66138217
    -#> 7442     0  0.46091621  0.55391765   8   sp_24  1.524904741  0.66138217
    -#> 7452     0  0.46091621  0.55391765   7   sp_25  1.524904741  0.66138217
    -#> 7462     0  0.46091621  0.55391765  10   sp_26  1.524904741  0.66138217
    -#> 7472     0  0.46091621  0.55391765  17   sp_27  1.524904741  0.66138217
    -#> 7482     0  0.46091621  0.55391765  18   sp_28  1.524904741  0.66138217
    -#> 7492     0  0.46091621  0.55391765   8   sp_29  1.524904741  0.66138217
    -#> 7502     0  0.46091621  0.55391765  19   sp_30  1.524904741  0.66138217
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    -#> 8422     0 -1.26506123 -0.06191171  11    sp_2 -1.024046710 -0.81527923
    -#> 8432     0 -1.26506123 -0.06191171  17    sp_3 -1.024046710 -0.81527923
    -#> 8442     0 -1.26506123 -0.06191171  12    sp_4 -1.024046710 -0.81527923
    -#> 8452     0 -1.26506123 -0.06191171   2    sp_5 -1.024046710 -0.81527923
    -#> 8462     0 -1.26506123 -0.06191171  19    sp_6 -1.024046710 -0.81527923
    -#> 8472     0 -1.26506123 -0.06191171  13    sp_7 -1.024046710 -0.81527923
    -#> 8482     0 -1.26506123 -0.06191171  13    sp_8 -1.024046710 -0.81527923
    -#> 8492     0 -1.26506123 -0.06191171  19    sp_9 -1.024046710 -0.81527923
    -#> 8502     1 -1.26506123 -0.06191171  10   sp_10 -1.024046710 -0.81527923
    -#> 8512     0 -1.26506123 -0.06191171  16   sp_11 -1.024046710 -0.81527923
    -#> 8522     0 -1.26506123 -0.06191171   5   sp_12 -1.024046710 -0.81527923
    -#> 8532     0 -1.26506123 -0.06191171   4   sp_13 -1.024046710 -0.81527923
    -#> 8542     0 -1.26506123 -0.06191171  18   sp_14 -1.024046710 -0.81527923
    -#> 8552     0 -1.26506123 -0.06191171   1   sp_15 -1.024046710 -0.81527923
    -#> 8562     0 -1.26506123 -0.06191171  16   sp_16 -1.024046710 -0.81527923
    -#> 8572     0 -1.26506123 -0.06191171  17   sp_17 -1.024046710 -0.81527923
    -#> 8582     0 -1.26506123 -0.06191171  12   sp_18 -1.024046710 -0.81527923
    -#> 8592     1 -1.26506123 -0.06191171   2   sp_19 -1.024046710 -0.81527923
    -#> 8602     0 -1.26506123 -0.06191171  18   sp_20 -1.024046710 -0.81527923
    -#> 8612     0 -1.26506123 -0.06191171  12   sp_21 -1.024046710 -0.81527923
    -#> 8622     0 -1.26506123 -0.06191171  15   sp_22 -1.024046710 -0.81527923
    -#> 8632     0 -1.26506123 -0.06191171  19   sp_23 -1.024046710 -0.81527923
    -#> 8642     0 -1.26506123 -0.06191171   6   sp_24 -1.024046710 -0.81527923
    -#> 8652     0 -1.26506123 -0.06191171  16   sp_25 -1.024046710 -0.81527923
    -#> 8662     0 -1.26506123 -0.06191171  15   sp_26 -1.024046710 -0.81527923
    -#> 8672     0 -1.26506123 -0.06191171  19   sp_27 -1.024046710 -0.81527923
    -#> 8682     0 -1.26506123 -0.06191171   3   sp_28 -1.024046710 -0.81527923
    -#> 8692     0 -1.26506123 -0.06191171  14   sp_29 -1.024046710 -0.81527923
    -#> 8702     0 -1.26506123 -0.06191171   1   sp_30 -1.024046710 -0.81527923
    -#> 9612     0 -0.68685285 -0.30596266   1    sp_1  0.519500645 -0.43573685
    -#> 9622     1 -0.68685285 -0.30596266  16    sp_2  0.519500645 -0.43573685
    -#> 9632     0 -0.68685285 -0.30596266  11    sp_3  0.519500645 -0.43573685
    -#> 9642     0 -0.68685285 -0.30596266   4    sp_4  0.519500645 -0.43573685
    -#> 9652     1 -0.68685285 -0.30596266  12    sp_5  0.519500645 -0.43573685
    -#> 9662     0 -0.68685285 -0.30596266  13    sp_6  0.519500645 -0.43573685
    -#> 9672     0 -0.68685285 -0.30596266  10    sp_7  0.519500645 -0.43573685
    -#> 9682     0 -0.68685285 -0.30596266  10    sp_8  0.519500645 -0.43573685
    -#> 9692     0 -0.68685285 -0.30596266   7    sp_9  0.519500645 -0.43573685
    -#> 9702     0 -0.68685285 -0.30596266  18   sp_10  0.519500645 -0.43573685
    -#> 9712     0 -0.68685285 -0.30596266  17   sp_11  0.519500645 -0.43573685
    -#> 9722     0 -0.68685285 -0.30596266  20   sp_12  0.519500645 -0.43573685
    -#> 9732     0 -0.68685285 -0.30596266   9   sp_13  0.519500645 -0.43573685
    -#> 9742     1 -0.68685285 -0.30596266  11   sp_14  0.519500645 -0.43573685
    -#> 9752     1 -0.68685285 -0.30596266  12   sp_15  0.519500645 -0.43573685
    -#> 9762     0 -0.68685285 -0.30596266   8   sp_16  0.519500645 -0.43573685
    -#> 9772     0 -0.68685285 -0.30596266  18   sp_17  0.519500645 -0.43573685
    -#> 9782     0 -0.68685285 -0.30596266   5   sp_18  0.519500645 -0.43573685
    -#> 9792     0 -0.68685285 -0.30596266  18   sp_19  0.519500645 -0.43573685
    -#> 9802     0 -0.68685285 -0.30596266   6   sp_20  0.519500645 -0.43573685
    -#> 9812     0 -0.68685285 -0.30596266  10   sp_21  0.519500645 -0.43573685
    -#> 9822     0 -0.68685285 -0.30596266   9   sp_22  0.519500645 -0.43573685
    -#> 9832     0 -0.68685285 -0.30596266  11   sp_23  0.519500645 -0.43573685
    -#> 9842     0 -0.68685285 -0.30596266   6   sp_24  0.519500645 -0.43573685
    -#> 9852     0 -0.68685285 -0.30596266  12   sp_25  0.519500645 -0.43573685
    -#> 9862     0 -0.68685285 -0.30596266  19   sp_26  0.519500645 -0.43573685
    -#> 9872     0 -0.68685285 -0.30596266   4   sp_27  0.519500645 -0.43573685
    -#> 9882     0 -0.68685285 -0.30596266   3   sp_28  0.519500645 -0.43573685
    -#> 9892     0 -0.68685285 -0.30596266  14   sp_29  0.519500645 -0.43573685
    -#> 9902     0 -0.68685285 -0.30596266   8   sp_30  0.519500645 -0.43573685
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    -#> 10822    0 -0.44566197 -0.38047100   4    sp_2  0.024742072  0.73153658
    -#> 10832    0 -0.44566197 -0.38047100  10    sp_3  0.024742072  0.73153658
    -#> 10842    0 -0.44566197 -0.38047100  16    sp_4  0.024742072  0.73153658
    -#> 10852    0 -0.44566197 -0.38047100  16    sp_5  0.024742072  0.73153658
    -#> 10862    0 -0.44566197 -0.38047100  20    sp_6  0.024742072  0.73153658
    -#> 10872    1 -0.44566197 -0.38047100  10    sp_7  0.024742072  0.73153658
    -#> 10882    0 -0.44566197 -0.38047100   6    sp_8  0.024742072  0.73153658
    -#> 10892    0 -0.44566197 -0.38047100  19    sp_9  0.024742072  0.73153658
    -#> 10902    0 -0.44566197 -0.38047100   4   sp_10  0.024742072  0.73153658
    -#> 10912    0 -0.44566197 -0.38047100   9   sp_11  0.024742072  0.73153658
    -#> 10922    0 -0.44566197 -0.38047100   4   sp_12  0.024742072  0.73153658
    -#> 10932    0 -0.44566197 -0.38047100  15   sp_13  0.024742072  0.73153658
    -#> 10942    0 -0.44566197 -0.38047100  20   sp_14  0.024742072  0.73153658
    -#> 10952    1 -0.44566197 -0.38047100  17   sp_15  0.024742072  0.73153658
    -#> 10962    0 -0.44566197 -0.38047100   7   sp_16  0.024742072  0.73153658
    -#> 10972    0 -0.44566197 -0.38047100  15   sp_17  0.024742072  0.73153658
    -#> 10982    0 -0.44566197 -0.38047100   5   sp_18  0.024742072  0.73153658
    -#> 10992    1 -0.44566197 -0.38047100  14   sp_19  0.024742072  0.73153658
    -#> 11002    0 -0.44566197 -0.38047100  15   sp_20  0.024742072  0.73153658
    -#> 11012    0 -0.44566197 -0.38047100  15   sp_21  0.024742072  0.73153658
    -#> 11022    0 -0.44566197 -0.38047100  16   sp_22  0.024742072  0.73153658
    -#> 11032    0 -0.44566197 -0.38047100  19   sp_23  0.024742072  0.73153658
    -#> 11042    0 -0.44566197 -0.38047100   8   sp_24  0.024742072  0.73153658
    -#> 11052    0 -0.44566197 -0.38047100   5   sp_25  0.024742072  0.73153658
    -#> 11062    0 -0.44566197 -0.38047100   7   sp_26  0.024742072  0.73153658
    -#> 11072    1 -0.44566197 -0.38047100  20   sp_27  0.024742072  0.73153658
    -#> 11082    0 -0.44566197 -0.38047100  16   sp_28  0.024742072  0.73153658
    -#> 11092    0 -0.44566197 -0.38047100  16   sp_29  0.024742072  0.73153658
    -#> 11102    0 -0.44566197 -0.38047100   9   sp_30  0.024742072  0.73153658
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    -#> 12022    0  1.22408180 -0.69470698  11    sp_2 -0.970649504  1.50473579
    -#> 12032    0  1.22408180 -0.69470698  19    sp_3 -0.970649504  1.50473579
    -#> 12042    0  1.22408180 -0.69470698  10    sp_4 -0.970649504  1.50473579
    -#> 12052    0  1.22408180 -0.69470698   2    sp_5 -0.970649504  1.50473579
    -#> 12062    0  1.22408180 -0.69470698   6    sp_6 -0.970649504  1.50473579
    -#> 12072    0  1.22408180 -0.69470698  20    sp_7 -0.970649504  1.50473579
    -#> 12082    0  1.22408180 -0.69470698  14    sp_8 -0.970649504  1.50473579
    -#> 12092    0  1.22408180 -0.69470698  14    sp_9 -0.970649504  1.50473579
    -#> 12102    0  1.22408180 -0.69470698   6   sp_10 -0.970649504  1.50473579
    -#> 12113    0  1.22408180 -0.69470698  18   sp_11 -0.970649504  1.50473579
    -#> 12122    0  1.22408180 -0.69470698   2   sp_12 -0.970649504  1.50473579
    -#> 12132    1  1.22408180 -0.69470698   8   sp_13 -0.970649504  1.50473579
    -#> 12142    0  1.22408180 -0.69470698  11   sp_14 -0.970649504  1.50473579
    -#> 12152    0  1.22408180 -0.69470698   7   sp_15 -0.970649504  1.50473579
    -#> 12162    0  1.22408180 -0.69470698  19   sp_16 -0.970649504  1.50473579
    -#> 12172    0  1.22408180 -0.69470698   8   sp_17 -0.970649504  1.50473579
    -#> 12182    0  1.22408180 -0.69470698  10   sp_18 -0.970649504  1.50473579
    -#> 12192    0  1.22408180 -0.69470698   5   sp_19 -0.970649504  1.50473579
    -#> 12202    0  1.22408180 -0.69470698  17   sp_20 -0.970649504  1.50473579
    -#> 12213    0  1.22408180 -0.69470698   6   sp_21 -0.970649504  1.50473579
    -#> 12222    0  1.22408180 -0.69470698   8   sp_22 -0.970649504  1.50473579
    -#> 12232    0  1.22408180 -0.69470698  20   sp_23 -0.970649504  1.50473579
    -#> 12242    0  1.22408180 -0.69470698   6   sp_24 -0.970649504  1.50473579
    -#> 12252    0  1.22408180 -0.69470698  15   sp_25 -0.970649504  1.50473579
    -#> 12262    0  1.22408180 -0.69470698  17   sp_26 -0.970649504  1.50473579
    -#> 12272    1  1.22408180 -0.69470698   3   sp_27 -0.970649504  1.50473579
    -#> 12282    0  1.22408180 -0.69470698  15   sp_28 -0.970649504  1.50473579
    -#> 12292    0  1.22408180 -0.69470698  20   sp_29 -0.970649504  1.50473579
    -#> 12302    0  1.22408180 -0.69470698   1   sp_30 -0.970649504  1.50473579
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    -#> 13222    1  0.35981383 -0.20791728  11    sp_2 -1.696019564 -0.30971435
    -#> 13232    0  0.35981383 -0.20791728  15    sp_3 -1.696019564 -0.30971435
    -#> 13242    0  0.35981383 -0.20791728  20    sp_4 -1.696019564 -0.30971435
    -#> 13252    0  0.35981383 -0.20791728   2    sp_5 -1.696019564 -0.30971435
    -#> 13262    0  0.35981383 -0.20791728  16    sp_6 -1.696019564 -0.30971435
    -#> 13272    0  0.35981383 -0.20791728  19    sp_7 -1.696019564 -0.30971435
    -#> 13282    0  0.35981383 -0.20791728  10    sp_8 -1.696019564 -0.30971435
    -#> 13292    0  0.35981383 -0.20791728  19    sp_9 -1.696019564 -0.30971435
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    -#> 13322    0  0.35981383 -0.20791728   6   sp_12 -1.696019564 -0.30971435
    -#> 13332    0  0.35981383 -0.20791728  12   sp_13 -1.696019564 -0.30971435
    -#> 13342    0  0.35981383 -0.20791728   4   sp_14 -1.696019564 -0.30971435
    -#> 13352    0  0.35981383 -0.20791728  19   sp_15 -1.696019564 -0.30971435
    -#> 13362    0  0.35981383 -0.20791728   2   sp_16 -1.696019564 -0.30971435
    -#> 13372    0  0.35981383 -0.20791728   4   sp_17 -1.696019564 -0.30971435
    -#> 13382    0  0.35981383 -0.20791728  11   sp_18 -1.696019564 -0.30971435
    -#> 13392    1  0.35981383 -0.20791728   1   sp_19 -1.696019564 -0.30971435
    -#> 13402    0  0.35981383 -0.20791728  19   sp_20 -1.696019564 -0.30971435
    -#> 13413    0  0.35981383 -0.20791728  18   sp_21 -1.696019564 -0.30971435
    -#> 13422    0  0.35981383 -0.20791728  16   sp_22 -1.696019564 -0.30971435
    -#> 13432    1  0.35981383 -0.20791728   3   sp_23 -1.696019564 -0.30971435
    -#> 13442    0  0.35981383 -0.20791728   1   sp_24 -1.696019564 -0.30971435
    -#> 13452    0  0.35981383 -0.20791728   2   sp_25 -1.696019564 -0.30971435
    -#> 13462    0  0.35981383 -0.20791728   2   sp_26 -1.696019564 -0.30971435
    -#> 13472    0  0.35981383 -0.20791728   8   sp_27 -1.696019564 -0.30971435
    -#> 13482    1  0.35981383 -0.20791728  20   sp_28 -1.696019564 -0.30971435
    -#> 13492    0  0.35981383 -0.20791728  14   sp_29 -1.696019564 -0.30971435
    -#> 13502    0  0.35981383 -0.20791728  13   sp_30 -1.696019564 -0.30971435
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    -#> 14422    0  0.40077145 -1.26539635   8    sp_2  0.662820286 -1.28685391
    -#> 14432    1  0.40077145 -1.26539635   3    sp_3  0.662820286 -1.28685391
    -#> 14442    0  0.40077145 -1.26539635  16    sp_4  0.662820286 -1.28685391
    -#> 14452    1  0.40077145 -1.26539635   1    sp_5  0.662820286 -1.28685391
    -#> 14462    1  0.40077145 -1.26539635  12    sp_6  0.662820286 -1.28685391
    -#> 14472    0  0.40077145 -1.26539635  18    sp_7  0.662820286 -1.28685391
    -#> 14482    1  0.40077145 -1.26539635  14    sp_8  0.662820286 -1.28685391
    -#> 14492    1  0.40077145 -1.26539635   8    sp_9  0.662820286 -1.28685391
    -#> 14502    1  0.40077145 -1.26539635   5   sp_10  0.662820286 -1.28685391
    -#> 14513    1  0.40077145 -1.26539635  17   sp_11  0.662820286 -1.28685391
    -#> 14522    1  0.40077145 -1.26539635  11   sp_12  0.662820286 -1.28685391
    -#> 14532    1  0.40077145 -1.26539635   4   sp_13  0.662820286 -1.28685391
    -#> 14542    1  0.40077145 -1.26539635  13   sp_14  0.662820286 -1.28685391
    -#> 14552    1  0.40077145 -1.26539635   8   sp_15  0.662820286 -1.28685391
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    -#> 14572    0  0.40077145 -1.26539635   4   sp_17  0.662820286 -1.28685391
    -#> 14582    0  0.40077145 -1.26539635  13   sp_18  0.662820286 -1.28685391
    -#> 14592    0  0.40077145 -1.26539635   3   sp_19  0.662820286 -1.28685391
    -#> 14602    1  0.40077145 -1.26539635   7   sp_20  0.662820286 -1.28685391
    -#> 14613    1  0.40077145 -1.26539635   1   sp_21  0.662820286 -1.28685391
    -#> 14622    0  0.40077145 -1.26539635   6   sp_22  0.662820286 -1.28685391
    -#> 14632    1  0.40077145 -1.26539635  13   sp_23  0.662820286 -1.28685391
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    -#> 14652    0  0.40077145 -1.26539635   6   sp_25  0.662820286 -1.28685391
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    -#> 14672    0  0.40077145 -1.26539635  13   sp_27  0.662820286 -1.28685391
    -#> 14682    0  0.40077145 -1.26539635   6   sp_28  0.662820286 -1.28685391
    -#> 14692    1  0.40077145 -1.26539635   9   sp_29  0.662820286 -1.28685391
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    -#> 15632    0  0.11068272  2.16895597   2    sp_3 -0.082930960 -1.04260743
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    -#> 15812    0  0.11068272  2.16895597  14   sp_21 -0.082930960 -1.04260743
    -#> 15822    0  0.11068272  2.16895597  16   sp_22 -0.082930960 -1.04260743
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    -#> 15852    0  0.11068272  2.16895597  13   sp_25 -0.082930960 -1.04260743
    -#> 15862    0  0.11068272  2.16895597  12   sp_26 -0.082930960 -1.04260743
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    -#> 15882    0  0.11068272  2.16895597  20   sp_28 -0.082930960 -1.04260743
    -#> 15892    0  0.11068272  2.16895597  10   sp_29 -0.082930960 -1.04260743
    -#> 15902    0  0.11068272  2.16895597   9   sp_30 -0.082930960 -1.04260743
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    -#> 16832    0 -0.55584113  1.20796200   7    sp_3 -1.291495828  1.04828678
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    -#> 16872    0 -0.55584113  1.20796200  11    sp_7 -1.291495828  1.04828678
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    -#> 17082    0 -0.55584113  1.20796200  19   sp_28 -1.291495828  1.04828678
    -#> 17092    0 -0.55584113  1.20796200   5   sp_29 -1.291495828  1.04828678
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    -#> 18242    1  1.78691314 -1.12310858   5   sp_24  0.292763360 -0.62291708
    -#> 18252    1  1.78691314 -1.12310858  11   sp_25  0.292763360 -0.62291708
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    -#> 18292    0  1.78691314 -1.12310858  15   sp_29  0.292763360 -0.62291708
    -#> 18302    1  1.78691314 -1.12310858  15   sp_30  0.292763360 -0.62291708
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    -#> 19232    0  0.49785048 -0.40288484   9    sp_3 -0.097909392  1.70873840
    -#> 19242    0  0.49785048 -0.40288484   4    sp_4 -0.097909392  1.70873840
    -#> 19252    0  0.49785048 -0.40288484   3    sp_5 -0.097909392  1.70873840
    -#> 19262    0  0.49785048 -0.40288484   7    sp_6 -0.097909392  1.70873840
    -#> 19272    0  0.49785048 -0.40288484   4    sp_7 -0.097909392  1.70873840
    -#> 19282    0  0.49785048 -0.40288484   8    sp_8 -0.097909392  1.70873840
    -#> 19292    0  0.49785048 -0.40288484   5    sp_9 -0.097909392  1.70873840
    -#> 19302    0  0.49785048 -0.40288484   6   sp_10 -0.097909392  1.70873840
    -#> 19312    0  0.49785048 -0.40288484   4   sp_11 -0.097909392  1.70873840
    -#> 19322    1  0.49785048 -0.40288484   3   sp_12 -0.097909392  1.70873840
    -#> 19332    0  0.49785048 -0.40288484  11   sp_13 -0.097909392  1.70873840
    -#> 19342    0  0.49785048 -0.40288484  10   sp_14 -0.097909392  1.70873840
    -#> 19352    0  0.49785048 -0.40288484   5   sp_15 -0.097909392  1.70873840
    -#> 19362    0  0.49785048 -0.40288484  11   sp_16 -0.097909392  1.70873840
    -#> 19372    0  0.49785048 -0.40288484  10   sp_17 -0.097909392  1.70873840
    -#> 19382    0  0.49785048 -0.40288484  15   sp_18 -0.097909392  1.70873840
    -#> 19392    0  0.49785048 -0.40288484  19   sp_19 -0.097909392  1.70873840
    -#> 19402    0  0.49785048 -0.40288484  10   sp_20 -0.097909392  1.70873840
    -#> 19412    0  0.49785048 -0.40288484  13   sp_21 -0.097909392  1.70873840
    -#> 19422    0  0.49785048 -0.40288484   3   sp_22 -0.097909392  1.70873840
    -#> 19432    0  0.49785048 -0.40288484  18   sp_23 -0.097909392  1.70873840
    -#> 19442    0  0.49785048 -0.40288484  10   sp_24 -0.097909392  1.70873840
    -#> 19452    0  0.49785048 -0.40288484   8   sp_25 -0.097909392  1.70873840
    -#> 19462    1  0.49785048 -0.40288484  12   sp_26 -0.097909392  1.70873840
    -#> 19472    0  0.49785048 -0.40288484  10   sp_27 -0.097909392  1.70873840
    -#> 19482    0  0.49785048 -0.40288484   7   sp_28 -0.097909392  1.70873840
    -#> 19492    0  0.49785048 -0.40288484   7   sp_29 -0.097909392  1.70873840
    -#> 19502    0  0.49785048 -0.40288484   6   sp_30 -0.097909392  1.70873840
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    -#> 20422    0 -1.96661716 -0.46665535  20    sp_2  1.597746035  0.50850841
    -#> 20432    0 -1.96661716 -0.46665535   1    sp_3  1.597746035  0.50850841
    -#> 20442    0 -1.96661716 -0.46665535   5    sp_4  1.597746035  0.50850841
    -#> 20452    0 -1.96661716 -0.46665535  10    sp_5  1.597746035  0.50850841
    -#> 20462    0 -1.96661716 -0.46665535  13    sp_6  1.597746035  0.50850841
    -#> 20472    1 -1.96661716 -0.46665535  10    sp_7  1.597746035  0.50850841
    -#> 20482    0 -1.96661716 -0.46665535   2    sp_8  1.597746035  0.50850841
    -#> 20492    0 -1.96661716 -0.46665535  15    sp_9  1.597746035  0.50850841
    -#> 20502    0 -1.96661716 -0.46665535  15   sp_10  1.597746035  0.50850841
    -#> 20512    0 -1.96661716 -0.46665535   8   sp_11  1.597746035  0.50850841
    -#> 20522    0 -1.96661716 -0.46665535   3   sp_12  1.597746035  0.50850841
    -#> 20532    0 -1.96661716 -0.46665535   2   sp_13  1.597746035  0.50850841
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    -#> 20552    0 -1.96661716 -0.46665535  14   sp_15  1.597746035  0.50850841
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    -#> 20572    0 -1.96661716 -0.46665535  19   sp_17  1.597746035  0.50850841
    -#> 20582    0 -1.96661716 -0.46665535   9   sp_18  1.597746035  0.50850841
    -#> 20592    0 -1.96661716 -0.46665535  15   sp_19  1.597746035  0.50850841
    -#> 20602    0 -1.96661716 -0.46665535  16   sp_20  1.597746035  0.50850841
    -#> 20612    0 -1.96661716 -0.46665535   8   sp_21  1.597746035  0.50850841
    -#> 20622    0 -1.96661716 -0.46665535   9   sp_22  1.597746035  0.50850841
    -#> 20632    0 -1.96661716 -0.46665535  16   sp_23  1.597746035  0.50850841
    -#> 20642    0 -1.96661716 -0.46665535   9   sp_24  1.597746035  0.50850841
    -#> 20652    0 -1.96661716 -0.46665535   2   sp_25  1.597746035  0.50850841
    -#> 20662    0 -1.96661716 -0.46665535   9   sp_26  1.597746035  0.50850841
    -#> 20672    0 -1.96661716 -0.46665535  11   sp_27  1.597746035  0.50850841
    -#> 20682    0 -1.96661716 -0.46665535  11   sp_28  1.597746035  0.50850841
    -#> 20692    0 -1.96661716 -0.46665535   4   sp_29  1.597746035  0.50850841
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    -#> 21622    0  0.70135590  0.77996512  11    sp_2 -0.925654688  0.27650993
    -#> 21632    0  0.70135590  0.77996512   1    sp_3 -0.925654688  0.27650993
    -#> 21642    0  0.70135590  0.77996512  11    sp_4 -0.925654688  0.27650993
    -#> 21652    0  0.70135590  0.77996512   6    sp_5 -0.925654688  0.27650993
    -#> 21662    0  0.70135590  0.77996512  10    sp_6 -0.925654688  0.27650993
    -#> 21672    0  0.70135590  0.77996512  18    sp_7 -0.925654688  0.27650993
    -#> 21682    0  0.70135590  0.77996512   3    sp_8 -0.925654688  0.27650993
    -#> 21692    0  0.70135590  0.77996512   3    sp_9 -0.925654688  0.27650993
    -#> 21702    1  0.70135590  0.77996512   2   sp_10 -0.925654688  0.27650993
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    -#> 21722    0  0.70135590  0.77996512  13   sp_12 -0.925654688  0.27650993
    -#> 21732    0  0.70135590  0.77996512   8   sp_13 -0.925654688  0.27650993
    -#> 21742    0  0.70135590  0.77996512   2   sp_14 -0.925654688  0.27650993
    -#> 21752    0  0.70135590  0.77996512   6   sp_15 -0.925654688  0.27650993
    -#> 21762    0  0.70135590  0.77996512  17   sp_16 -0.925654688  0.27650993
    -#> 21772    0  0.70135590  0.77996512  14   sp_17 -0.925654688  0.27650993
    -#> 21782    0  0.70135590  0.77996512   7   sp_18 -0.925654688  0.27650993
    -#> 21792    0  0.70135590  0.77996512  13   sp_19 -0.925654688  0.27650993
    -#> 21802    0  0.70135590  0.77996512   8   sp_20 -0.925654688  0.27650993
    -#> 21812    0  0.70135590  0.77996512   6   sp_21 -0.925654688  0.27650993
    -#> 21822    0  0.70135590  0.77996512  11   sp_22 -0.925654688  0.27650993
    -#> 21832    0  0.70135590  0.77996512  10   sp_23 -0.925654688  0.27650993
    -#> 21842    0  0.70135590  0.77996512  17   sp_24 -0.925654688  0.27650993
    -#> 21852    0  0.70135590  0.77996512   7   sp_25 -0.925654688  0.27650993
    -#> 21862    0  0.70135590  0.77996512  12   sp_26 -0.925654688  0.27650993
    -#> 21872    0  0.70135590  0.77996512  19   sp_27 -0.925654688  0.27650993
    -#> 21882    0  0.70135590  0.77996512  17   sp_28 -0.925654688  0.27650993
    -#> 21892    0  0.70135590  0.77996512   8   sp_29 -0.925654688  0.27650993
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    -#> 22822    0 -0.47279141 -0.08336907  14    sp_2  0.840684900  1.39791523
    -#> 22832    0 -0.47279141 -0.08336907  17    sp_3  0.840684900  1.39791523
    -#> 22842    0 -0.47279141 -0.08336907   1    sp_4  0.840684900  1.39791523
    -#> 22852    0 -0.47279141 -0.08336907  18    sp_5  0.840684900  1.39791523
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    -#> 22882    0 -0.47279141 -0.08336907  10    sp_8  0.840684900  1.39791523
    -#> 22892    0 -0.47279141 -0.08336907  10    sp_9  0.840684900  1.39791523
    -#> 22902    0 -0.47279141 -0.08336907   9   sp_10  0.840684900  1.39791523
    -#> 22912    0 -0.47279141 -0.08336907  19   sp_11  0.840684900  1.39791523
    -#> 22922    0 -0.47279141 -0.08336907  18   sp_12  0.840684900  1.39791523
    -#> 22932    0 -0.47279141 -0.08336907  18   sp_13  0.840684900  1.39791523
    -#> 22942    0 -0.47279141 -0.08336907  12   sp_14  0.840684900  1.39791523
    -#> 22952    0 -0.47279141 -0.08336907  12   sp_15  0.840684900  1.39791523
    -#> 22962    0 -0.47279141 -0.08336907   4   sp_16  0.840684900  1.39791523
    -#> 22972    0 -0.47279141 -0.08336907  20   sp_17  0.840684900  1.39791523
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    -#> 22992    0 -0.47279141 -0.08336907   5   sp_19  0.840684900  1.39791523
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    -#> 23012    0 -0.47279141 -0.08336907  18   sp_21  0.840684900  1.39791523
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    -#> 23032    0 -0.47279141 -0.08336907  13   sp_23  0.840684900  1.39791523
    -#> 23042    0 -0.47279141 -0.08336907  11   sp_24  0.840684900  1.39791523
    -#> 23052    0 -0.47279141 -0.08336907  19   sp_25  0.840684900  1.39791523
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    -#> 23072    0 -0.47279141 -0.08336907  18   sp_27  0.840684900  1.39791523
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    -#> 23092    0 -0.47279141 -0.08336907   9   sp_29  0.840684900  1.39791523
    -#> 23102    0 -0.47279141 -0.08336907   3   sp_30  0.840684900  1.39791523
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    -#> 25472    0 -0.21797491 -0.02854676  20   sp_27 -1.458915620  1.04822440
    -#> 25482    0 -0.21797491 -0.02854676   3   sp_28 -1.458915620  1.04822440
    -#> 25492    0 -0.21797491 -0.02854676  14   sp_29 -1.458915620  1.04822440
    -#> 25502    0 -0.21797491 -0.02854676   5   sp_30 -1.458915620  1.04822440
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    -#> 26613    0 -1.02600445 -0.04287046  13   sp_21  1.177817761  1.66494265
    -#> 26622    0 -1.02600445 -0.04287046  13   sp_22  1.177817761  1.66494265
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    -#> 26642    0 -1.02600445 -0.04287046  20   sp_24  1.177817761  1.66494265
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    -#> 33872    0 -1.13813694  0.12385424   3   sp_27 -0.922031005 -0.57269753
    -#> 33882    0 -1.13813694  0.12385424  14   sp_28 -0.922031005 -0.57269753
    -#> 33892    1 -1.13813694  0.12385424  18   sp_29 -0.922031005 -0.57269753
    -#> 33902    0 -1.13813694  0.12385424  10   sp_30 -0.922031005 -0.57269753
    -#> 34812    1  1.25381492  0.21594157  12    sp_1  0.479910722  0.32978651
    -#> 34822    0  1.25381492  0.21594157  16    sp_2  0.479910722  0.32978651
    -#> 34832    0  1.25381492  0.21594157   3    sp_3  0.479910722  0.32978651
    -#> 34842    0  1.25381492  0.21594157  12    sp_4  0.479910722  0.32978651
    -#> 34852    0  1.25381492  0.21594157   5    sp_5  0.479910722  0.32978651
    -#> 34862    0  1.25381492  0.21594157  13    sp_6  0.479910722  0.32978651
    -#> 34872    0  1.25381492  0.21594157   8    sp_7  0.479910722  0.32978651
    -#> 34882    1  1.25381492  0.21594157  17    sp_8  0.479910722  0.32978651
    -#> 34892    1  1.25381492  0.21594157   5    sp_9  0.479910722  0.32978651
    -#> 34902    0  1.25381492  0.21594157  19   sp_10  0.479910722  0.32978651
    -#> 34912    0  1.25381492  0.21594157   6   sp_11  0.479910722  0.32978651
    -#> 34922    0  1.25381492  0.21594157   2   sp_12  0.479910722  0.32978651
    -#> 34932    0  1.25381492  0.21594157  17   sp_13  0.479910722  0.32978651
    -#> 34942    1  1.25381492  0.21594157  17   sp_14  0.479910722  0.32978651
    -#> 34952    1  1.25381492  0.21594157   8   sp_15  0.479910722  0.32978651
    -#> 34962    0  1.25381492  0.21594157  19   sp_16  0.479910722  0.32978651
    -#> 34972    1  1.25381492  0.21594157  18   sp_17  0.479910722  0.32978651
    -#> 34982    0  1.25381492  0.21594157  19   sp_18  0.479910722  0.32978651
    -#> 34992    0  1.25381492  0.21594157   5   sp_19  0.479910722  0.32978651
    -#> 35002    0  1.25381492  0.21594157  14   sp_20  0.479910722  0.32978651
    -#> 35012    1  1.25381492  0.21594157  12   sp_21  0.479910722  0.32978651
    -#> 35022    0  1.25381492  0.21594157   1   sp_22  0.479910722  0.32978651
    -#> 35032    1  1.25381492  0.21594157  16   sp_23  0.479910722  0.32978651
    -#> 35042    0  1.25381492  0.21594157  18   sp_24  0.479910722  0.32978651
    -#> 35052    0  1.25381492  0.21594157  20   sp_25  0.479910722  0.32978651
    -#> 35062    0  1.25381492  0.21594157   7   sp_26  0.479910722  0.32978651
    -#> 35072    1  1.25381492  0.21594157   5   sp_27  0.479910722  0.32978651
    -#> 35082    0  1.25381492  0.21594157  10   sp_28  0.479910722  0.32978651
    -#> 35092    0  1.25381492  0.21594157   4   sp_29  0.479910722  0.32978651
    -#> 35102    0  1.25381492  0.21594157   8   sp_30  0.479910722  0.32978651
    -#> 114      0 -0.56047565  0.42646422   7    sp_1  0.105881568 -0.26338952
    -#> 214      0 -0.56047565  0.42646422   3    sp_2  0.105881568 -0.26338952
    -#> 33       0 -0.56047565  0.42646422  15    sp_3  0.105881568 -0.26338952
    -#> 43       0 -0.56047565  0.42646422   5    sp_4  0.105881568 -0.26338952
    -#> 53       0 -0.56047565  0.42646422   8    sp_5  0.105881568 -0.26338952
    -#> 63       0 -0.56047565  0.42646422  19    sp_6  0.105881568 -0.26338952
    -#> 73       0 -0.56047565  0.42646422  10    sp_7  0.105881568 -0.26338952
    -#> 83       0 -0.56047565  0.42646422  18    sp_8  0.105881568 -0.26338952
    -#> 93       0 -0.56047565  0.42646422  10    sp_9  0.105881568 -0.26338952
    -#> 103      0 -0.56047565  0.42646422  12   sp_10  0.105881568 -0.26338952
    -#> 115      0 -0.56047565  0.42646422   2   sp_11  0.105881568 -0.26338952
    -#> 1235     0 -0.56047565  0.42646422  10   sp_12  0.105881568 -0.26338952
    -#> 1314     0 -0.56047565  0.42646422  12   sp_13  0.105881568 -0.26338952
    -#> 1414     0 -0.56047565  0.42646422  20   sp_14  0.105881568 -0.26338952
    -#> 153      0 -0.56047565  0.42646422  14   sp_15  0.105881568 -0.26338952
    -#> 163      0 -0.56047565  0.42646422  17   sp_16  0.105881568 -0.26338952
    -#> 173      0 -0.56047565  0.42646422  14   sp_17  0.105881568 -0.26338952
    -#> 183      0 -0.56047565  0.42646422   3   sp_18  0.105881568 -0.26338952
    -#> 193      0 -0.56047565  0.42646422   8   sp_19  0.105881568 -0.26338952
    -#> 203      0 -0.56047565  0.42646422  14   sp_20  0.105881568 -0.26338952
    -#> 215      0 -0.56047565  0.42646422  19   sp_21  0.105881568 -0.26338952
    -#> 223      0 -0.56047565  0.42646422  15   sp_22  0.105881568 -0.26338952
    -#> 233      0 -0.56047565  0.42646422  17   sp_23  0.105881568 -0.26338952
    -#> 2435     0 -0.56047565  0.42646422  11   sp_24  0.105881568 -0.26338952
    -#> 2514     0 -0.56047565  0.42646422   7   sp_25  0.105881568 -0.26338952
    -#> 2614     0 -0.56047565  0.42646422  15   sp_26  0.105881568 -0.26338952
    -#> 273      1 -0.56047565  0.42646422   6   sp_27  0.105881568 -0.26338952
    -#> 283      0 -0.56047565  0.42646422  14   sp_28  0.105881568 -0.26338952
    -#> 293      0 -0.56047565  0.42646422   7   sp_29  0.105881568 -0.26338952
    -#> 303      0 -0.56047565  0.42646422  10   sp_30  0.105881568 -0.26338952
    -#> 12114    0 -0.23017749 -0.29507148   5    sp_1 -1.140377953  0.61794489
    -#> 12214    0 -0.23017749 -0.29507148   6    sp_2 -1.140377953  0.61794489
    -#> 1236     0 -0.23017749 -0.29507148  16    sp_3 -1.140377953  0.61794489
    -#> 1243     0 -0.23017749 -0.29507148  11    sp_4 -1.140377953  0.61794489
    -#> 1253     0 -0.23017749 -0.29507148   4    sp_5 -1.140377953  0.61794489
    -#> 1263     0 -0.23017749 -0.29507148  12    sp_6 -1.140377953  0.61794489
    -#> 1273     0 -0.23017749 -0.29507148  14    sp_7 -1.140377953  0.61794489
    -#> 1283     0 -0.23017749 -0.29507148  19    sp_8 -1.140377953  0.61794489
    -#> 1293     0 -0.23017749 -0.29507148   7    sp_9 -1.140377953  0.61794489
    -#> 1303     0 -0.23017749 -0.29507148   9   sp_10 -1.140377953  0.61794489
    -#> 1315     0 -0.23017749 -0.29507148   7   sp_11 -1.140377953  0.61794489
    -#> 13214    0 -0.23017749 -0.29507148   2   sp_12 -1.140377953  0.61794489
    -#> 13314    0 -0.23017749 -0.29507148  16   sp_13 -1.140377953  0.61794489
    -#> 13414    0 -0.23017749 -0.29507148  13   sp_14 -1.140377953  0.61794489
    -#> 1353     0 -0.23017749 -0.29507148  19   sp_15 -1.140377953  0.61794489
    -#> 1363     0 -0.23017749 -0.29507148  20   sp_16 -1.140377953  0.61794489
    -#> 1373     0 -0.23017749 -0.29507148  15   sp_17 -1.140377953  0.61794489
    -#> 1383     1 -0.23017749 -0.29507148   7   sp_18 -1.140377953  0.61794489
    -#> 1393     0 -0.23017749 -0.29507148   4   sp_19 -1.140377953  0.61794489
    -#> 1403     0 -0.23017749 -0.29507148   1   sp_20 -1.140377953  0.61794489
    -#> 1415     0 -0.23017749 -0.29507148   8   sp_21 -1.140377953  0.61794489
    -#> 1423     1 -0.23017749 -0.29507148  20   sp_22 -1.140377953  0.61794489
    -#> 1433     0 -0.23017749 -0.29507148  16   sp_23 -1.140377953  0.61794489
    -#> 14414    0 -0.23017749 -0.29507148  11   sp_24 -1.140377953  0.61794489
    -#> 14514    0 -0.23017749 -0.29507148  16   sp_25 -1.140377953  0.61794489
    -#> 14614    0 -0.23017749 -0.29507148  20   sp_26 -1.140377953  0.61794489
    -#> 1473     0 -0.23017749 -0.29507148   8   sp_27 -1.140377953  0.61794489
    -#> 1483     0 -0.23017749 -0.29507148   3   sp_28 -1.140377953  0.61794489
    -#> 1493     0 -0.23017749 -0.29507148   4   sp_29 -1.140377953  0.61794489
    -#> 1503     0 -0.23017749 -0.29507148  20   sp_30 -1.140377953  0.61794489
    -#> 24114    0  1.55870831  0.89512566  12    sp_1 -0.971485822 -0.16289598
    -#> 24214    1  1.55870831  0.89512566  17    sp_2 -0.971485822 -0.16289598
    -#> 2436     0  1.55870831  0.89512566  10    sp_3 -0.971485822 -0.16289598
    -#> 2443     0  1.55870831  0.89512566  20    sp_4 -0.971485822 -0.16289598
    -#> 2453     1  1.55870831  0.89512566  11    sp_5 -0.971485822 -0.16289598
    -#> 2463     0  1.55870831  0.89512566   8    sp_6 -0.971485822 -0.16289598
    -#> 2473     1  1.55870831  0.89512566  14    sp_7 -0.971485822 -0.16289598
    -#> 2483     0  1.55870831  0.89512566  13    sp_8 -0.971485822 -0.16289598
    -#> 2493     0  1.55870831  0.89512566   2    sp_9 -0.971485822 -0.16289598
    -#> 2503     0  1.55870831  0.89512566  11   sp_10 -0.971485822 -0.16289598
    -#> 2515     0  1.55870831  0.89512566  13   sp_11 -0.971485822 -0.16289598
    -#> 25214    0  1.55870831  0.89512566  14   sp_12 -0.971485822 -0.16289598
    -#> 25314    0  1.55870831  0.89512566   6   sp_13 -0.971485822 -0.16289598
    -#> 25414    0  1.55870831  0.89512566   8   sp_14 -0.971485822 -0.16289598
    -#> 2553     1  1.55870831  0.89512566  12   sp_15 -0.971485822 -0.16289598
    -#> 2563     0  1.55870831  0.89512566   4   sp_16 -0.971485822 -0.16289598
    -#> 2573     0  1.55870831  0.89512566  13   sp_17 -0.971485822 -0.16289598
    -#> 2583     0  1.55870831  0.89512566  14   sp_18 -0.971485822 -0.16289598
    -#> 2593     0  1.55870831  0.89512566  16   sp_19 -0.971485822 -0.16289598
    -#> 2603     0  1.55870831  0.89512566   1   sp_20 -0.971485822 -0.16289598
    -#> 2615     1  1.55870831  0.89512566   8   sp_21 -0.971485822 -0.16289598
    -#> 2623     0  1.55870831  0.89512566   8   sp_22 -0.971485822 -0.16289598
    -#> 2633     0  1.55870831  0.89512566  10   sp_23 -0.971485822 -0.16289598
    -#> 26414    0  1.55870831  0.89512566   8   sp_24 -0.971485822 -0.16289598
    -#> 26514    0  1.55870831  0.89512566  18   sp_25 -0.971485822 -0.16289598
    -#> 26614    0  1.55870831  0.89512566   9   sp_26 -0.971485822 -0.16289598
    -#> 2673     0  1.55870831  0.89512566   7   sp_27 -0.971485822 -0.16289598
    -#> 2683     0  1.55870831  0.89512566   7   sp_28 -0.971485822 -0.16289598
    -#> 2693     0  1.55870831  0.89512566  10   sp_29 -0.971485822 -0.16289598
    -#> 2703     1  1.55870831  0.89512566  11   sp_30 -0.971485822 -0.16289598
    -#> 3613     0  0.07050839  0.87813349   1    sp_1 -1.069651815 -0.50832407
    -#> 3623     0  0.07050839  0.87813349  19    sp_2 -1.069651815 -0.50832407
    -#> 3633     0  0.07050839  0.87813349  10    sp_3 -1.069651815 -0.50832407
    -#> 3643     0  0.07050839  0.87813349  13    sp_4 -1.069651815 -0.50832407
    -#> 3653     1  0.07050839  0.87813349  11    sp_5 -1.069651815 -0.50832407
    -#> 3663     0  0.07050839  0.87813349  11    sp_6 -1.069651815 -0.50832407
    -#> 3673     0  0.07050839  0.87813349  20    sp_7 -1.069651815 -0.50832407
    -#> 3683     0  0.07050839  0.87813349   7    sp_8 -1.069651815 -0.50832407
    -#> 3693     0  0.07050839  0.87813349  20    sp_9 -1.069651815 -0.50832407
    -#> 3703     0  0.07050839  0.87813349   9   sp_10 -1.069651815 -0.50832407
    -#> 3713     0  0.07050839  0.87813349   9   sp_11 -1.069651815 -0.50832407
    -#> 3723     0  0.07050839  0.87813349   5   sp_12 -1.069651815 -0.50832407
    -#> 3733     1  0.07050839  0.87813349  14   sp_13 -1.069651815 -0.50832407
    -#> 3743     0  0.07050839  0.87813349  14   sp_14 -1.069651815 -0.50832407
    -#> 3753     0  0.07050839  0.87813349   6   sp_15 -1.069651815 -0.50832407
    -#> 3763     0  0.07050839  0.87813349   1   sp_16 -1.069651815 -0.50832407
    -#> 3773     1  0.07050839  0.87813349  10   sp_17 -1.069651815 -0.50832407
    -#> 3783     1  0.07050839  0.87813349  17   sp_18 -1.069651815 -0.50832407
    -#> 3793     0  0.07050839  0.87813349  17   sp_19 -1.069651815 -0.50832407
    -#> 3803     0  0.07050839  0.87813349   7   sp_20 -1.069651815 -0.50832407
    -#> 3813     0  0.07050839  0.87813349   9   sp_21 -1.069651815 -0.50832407
    -#> 3823     0  0.07050839  0.87813349  20   sp_22 -1.069651815 -0.50832407
    -#> 3833     0  0.07050839  0.87813349   6   sp_23 -1.069651815 -0.50832407
    -#> 3843     0  0.07050839  0.87813349  18   sp_24 -1.069651815 -0.50832407
    -#> 3853     0  0.07050839  0.87813349  17   sp_25 -1.069651815 -0.50832407
    -#> 3863     0  0.07050839  0.87813349   5   sp_26 -1.069651815 -0.50832407
    -#> 3873     1  0.07050839  0.87813349  20   sp_27 -1.069651815 -0.50832407
    -#> 3883     0  0.07050839  0.87813349   3   sp_28 -1.069651815 -0.50832407
    -#> 3893     0  0.07050839  0.87813349  14   sp_29 -1.069651815 -0.50832407
    -#> 3903     0  0.07050839  0.87813349   1   sp_30 -1.069651815 -0.50832407
    -#> 4813     0  0.12928774  0.82158108   2    sp_1 -1.902177022  0.33140152
    -#> 4823     0  0.12928774  0.82158108   4    sp_2 -1.902177022  0.33140152
    -#> 4833     0  0.12928774  0.82158108  10    sp_3 -1.902177022  0.33140152
    -#> 4843     0  0.12928774  0.82158108   1    sp_4 -1.902177022  0.33140152
    -#> 4853     0  0.12928774  0.82158108   5    sp_5 -1.902177022  0.33140152
    -#> 4863     0  0.12928774  0.82158108   8    sp_6 -1.902177022  0.33140152
    -#> 4873     0  0.12928774  0.82158108  13    sp_7 -1.902177022  0.33140152
    -#> 4883     0  0.12928774  0.82158108  18    sp_8 -1.902177022  0.33140152
    -#> 4893     0  0.12928774  0.82158108  10    sp_9 -1.902177022  0.33140152
    -#> 4903     0  0.12928774  0.82158108   6   sp_10 -1.902177022  0.33140152
    -#> 4913     0  0.12928774  0.82158108   7   sp_11 -1.902177022  0.33140152
    -#> 4923     0  0.12928774  0.82158108   9   sp_12 -1.902177022  0.33140152
    -#> 4933     0  0.12928774  0.82158108  16   sp_13 -1.902177022  0.33140152
    -#> 4943     1  0.12928774  0.82158108  17   sp_14 -1.902177022  0.33140152
    -#> 4953     0  0.12928774  0.82158108  13   sp_15 -1.902177022  0.33140152
    -#> 4963     0  0.12928774  0.82158108   8   sp_16 -1.902177022  0.33140152
    -#> 4973     0  0.12928774  0.82158108   7   sp_17 -1.902177022  0.33140152
    -#> 4983     0  0.12928774  0.82158108  20   sp_18 -1.902177022  0.33140152
    -#> 4993     0  0.12928774  0.82158108  18   sp_19 -1.902177022  0.33140152
    -#> 5003     0  0.12928774  0.82158108  17   sp_20 -1.902177022  0.33140152
    -#> 5013     0  0.12928774  0.82158108   1   sp_21 -1.902177022  0.33140152
    -#> 5023     0  0.12928774  0.82158108   2   sp_22 -1.902177022  0.33140152
    -#> 5033     0  0.12928774  0.82158108  17   sp_23 -1.902177022  0.33140152
    -#> 5043     0  0.12928774  0.82158108   2   sp_24 -1.902177022  0.33140152
    -#> 5053     0  0.12928774  0.82158108  13   sp_25 -1.902177022  0.33140152
    -#> 5063     0  0.12928774  0.82158108  17   sp_26 -1.902177022  0.33140152
    -#> 5073     0  0.12928774  0.82158108   3   sp_27 -1.902177022  0.33140152
    -#> 5083     0  0.12928774  0.82158108  18   sp_28 -1.902177022  0.33140152
    -#> 5093     0  0.12928774  0.82158108   2   sp_29 -1.902177022  0.33140152
    -#> 5103     0  0.12928774  0.82158108   5   sp_30 -1.902177022  0.33140152
    -#> 6013     1  1.71506499  0.68864025  12    sp_1  1.053866739  0.57437773
    -#> 6023     0  1.71506499  0.68864025  13    sp_2  1.053866739  0.57437773
    -#> 6033     0  1.71506499  0.68864025  10    sp_3  1.053866739  0.57437773
    -#> 6043     1  1.71506499  0.68864025   6    sp_4  1.053866739  0.57437773
    -#> 6053     0  1.71506499  0.68864025  10    sp_5  1.053866739  0.57437773
    -#> 6063     0  1.71506499  0.68864025  10    sp_6  1.053866739  0.57437773
    -#> 6073     0  1.71506499  0.68864025   6    sp_7  1.053866739  0.57437773
    -#> 6083     0  1.71506499  0.68864025  16    sp_8  1.053866739  0.57437773
    -#> 6093     0  1.71506499  0.68864025  16    sp_9  1.053866739  0.57437773
    -#> 6103     0  1.71506499  0.68864025   3   sp_10  1.053866739  0.57437773
    -#> 6113     0  1.71506499  0.68864025   4   sp_11  1.053866739  0.57437773
    -#> 6123     1  1.71506499  0.68864025   3   sp_12  1.053866739  0.57437773
    -#> 6133     0  1.71506499  0.68864025   3   sp_13  1.053866739  0.57437773
    -#> 6143     0  1.71506499  0.68864025  16   sp_14  1.053866739  0.57437773
    -#> 6153     0  1.71506499  0.68864025   2   sp_15  1.053866739  0.57437773
    -#> 6163     0  1.71506499  0.68864025  15   sp_16  1.053866739  0.57437773
    -#> 6173     0  1.71506499  0.68864025   3   sp_17  1.053866739  0.57437773
    -#> 6183     0  1.71506499  0.68864025   9   sp_18  1.053866739  0.57437773
    -#> 6193     0  1.71506499  0.68864025   7   sp_19  1.053866739  0.57437773
    -#> 6203     0  1.71506499  0.68864025   9   sp_20  1.053866739  0.57437773
    -#> 6213     0  1.71506499  0.68864025   4   sp_21  1.053866739  0.57437773
    -#> 6223     1  1.71506499  0.68864025   2   sp_22  1.053866739  0.57437773
    -#> 6233     0  1.71506499  0.68864025  12   sp_23  1.053866739  0.57437773
    -#> 6243     0  1.71506499  0.68864025   9   sp_24  1.053866739  0.57437773
    -#> 6253     0  1.71506499  0.68864025  11   sp_25  1.053866739  0.57437773
    -#> 6263     0  1.71506499  0.68864025   7   sp_26  1.053866739  0.57437773
    -#> 6273     0  1.71506499  0.68864025  13   sp_27  1.053866739  0.57437773
    -#> 6283     1  1.71506499  0.68864025   5   sp_28  1.053866739  0.57437773
    -#> 6293     0  1.71506499  0.68864025  11   sp_29  1.053866739  0.57437773
    -#> 6303     0  1.71506499  0.68864025   1   sp_30  1.053866739  0.57437773
    -#> 7213     0  0.46091621  0.55391765  19    sp_1 -0.139730368  0.53331433
    -#> 7223     0  0.46091621  0.55391765  12    sp_2 -0.139730368  0.53331433
    -#> 7233     0  0.46091621  0.55391765   2    sp_3 -0.139730368  0.53331433
    -#> 7243     1  0.46091621  0.55391765  17    sp_4 -0.139730368  0.53331433
    -#> 7253     1  0.46091621  0.55391765  12    sp_5 -0.139730368  0.53331433
    -#> 7263     0  0.46091621  0.55391765   3    sp_6 -0.139730368  0.53331433
    -#> 7273     0  0.46091621  0.55391765  18    sp_7 -0.139730368  0.53331433
    -#> 7283     0  0.46091621  0.55391765  15    sp_8 -0.139730368  0.53331433
    -#> 7293     0  0.46091621  0.55391765   3    sp_9 -0.139730368  0.53331433
    -#> 7303     0  0.46091621  0.55391765  19   sp_10 -0.139730368  0.53331433
    -#> 7313     0  0.46091621  0.55391765  18   sp_11 -0.139730368  0.53331433
    -#> 7323     0  0.46091621  0.55391765  17   sp_12 -0.139730368  0.53331433
    -#> 7333     0  0.46091621  0.55391765   6   sp_13 -0.139730368  0.53331433
    -#> 7343     0  0.46091621  0.55391765  10   sp_14 -0.139730368  0.53331433
    -#> 7353     0  0.46091621  0.55391765   8   sp_15 -0.139730368  0.53331433
    -#> 7363     0  0.46091621  0.55391765  10   sp_16 -0.139730368  0.53331433
    -#> 7373     0  0.46091621  0.55391765  13   sp_17 -0.139730368  0.53331433
    -#> 7383     1  0.46091621  0.55391765  20   sp_18 -0.139730368  0.53331433
    -#> 7393     0  0.46091621  0.55391765   6   sp_19 -0.139730368  0.53331433
    -#> 7403     0  0.46091621  0.55391765  20   sp_20 -0.139730368  0.53331433
    -#> 7413     0  0.46091621  0.55391765  20   sp_21 -0.139730368  0.53331433
    -#> 7423     0  0.46091621  0.55391765   9   sp_22 -0.139730368  0.53331433
    -#> 7433     0  0.46091621  0.55391765  16   sp_23 -0.139730368  0.53331433
    -#> 7443     0  0.46091621  0.55391765   8   sp_24 -0.139730368  0.53331433
    -#> 7453     0  0.46091621  0.55391765   7   sp_25 -0.139730368  0.53331433
    -#> 7463     0  0.46091621  0.55391765  10   sp_26 -0.139730368  0.53331433
    -#> 7473     1  0.46091621  0.55391765  17   sp_27 -0.139730368  0.53331433
    -#> 7483     0  0.46091621  0.55391765  18   sp_28 -0.139730368  0.53331433
    -#> 7493     0  0.46091621  0.55391765   8   sp_29 -0.139730368  0.53331433
    -#> 7503     0  0.46091621  0.55391765  19   sp_30 -0.139730368  0.53331433
    -#> 8413     1 -1.26506123 -0.06191171  10    sp_1 -0.380597979  0.24837592
    -#> 8423     0 -1.26506123 -0.06191171  11    sp_2 -0.380597979  0.24837592
    -#> 8433     0 -1.26506123 -0.06191171  17    sp_3 -0.380597979  0.24837592
    -#> 8443     0 -1.26506123 -0.06191171  12    sp_4 -0.380597979  0.24837592
    -#> 8453     0 -1.26506123 -0.06191171   2    sp_5 -0.380597979  0.24837592
    -#> 8463     0 -1.26506123 -0.06191171  19    sp_6 -0.380597979  0.24837592
    -#> 8473     0 -1.26506123 -0.06191171  13    sp_7 -0.380597979  0.24837592
    -#> 8483     0 -1.26506123 -0.06191171  13    sp_8 -0.380597979  0.24837592
    -#> 8493     0 -1.26506123 -0.06191171  19    sp_9 -0.380597979  0.24837592
    -#> 8503     1 -1.26506123 -0.06191171  10   sp_10 -0.380597979  0.24837592
    -#> 8513     0 -1.26506123 -0.06191171  16   sp_11 -0.380597979  0.24837592
    -#> 8523     0 -1.26506123 -0.06191171   5   sp_12 -0.380597979  0.24837592
    -#> 8533     0 -1.26506123 -0.06191171   4   sp_13 -0.380597979  0.24837592
    -#> 8543     0 -1.26506123 -0.06191171  18   sp_14 -0.380597979  0.24837592
    -#> 8553     0 -1.26506123 -0.06191171   1   sp_15 -0.380597979  0.24837592
    -#> 8563     0 -1.26506123 -0.06191171  16   sp_16 -0.380597979  0.24837592
    -#> 8573     0 -1.26506123 -0.06191171  17   sp_17 -0.380597979  0.24837592
    -#> 8583     0 -1.26506123 -0.06191171  12   sp_18 -0.380597979  0.24837592
    -#> 8593     0 -1.26506123 -0.06191171   2   sp_19 -0.380597979  0.24837592
    -#> 8603     0 -1.26506123 -0.06191171  18   sp_20 -0.380597979  0.24837592
    -#> 8613     0 -1.26506123 -0.06191171  12   sp_21 -0.380597979  0.24837592
    -#> 8623     0 -1.26506123 -0.06191171  15   sp_22 -0.380597979  0.24837592
    -#> 8633     0 -1.26506123 -0.06191171  19   sp_23 -0.380597979  0.24837592
    -#> 8643     0 -1.26506123 -0.06191171   6   sp_24 -0.380597979  0.24837592
    -#> 8653     0 -1.26506123 -0.06191171  16   sp_25 -0.380597979  0.24837592
    -#> 8663     0 -1.26506123 -0.06191171  15   sp_26 -0.380597979  0.24837592
    -#> 8673     0 -1.26506123 -0.06191171  19   sp_27 -0.380597979  0.24837592
    -#> 8683     0 -1.26506123 -0.06191171   3   sp_28 -0.380597979  0.24837592
    -#> 8693     0 -1.26506123 -0.06191171  14   sp_29 -0.380597979  0.24837592
    -#> 8703     0 -1.26506123 -0.06191171   1   sp_30 -0.380597979  0.24837592
    -#> 9613     0 -0.68685285 -0.30596266   1    sp_1  1.476197464 -0.71800879
    -#> 9623     0 -0.68685285 -0.30596266  16    sp_2  1.476197464 -0.71800879
    -#> 9633     0 -0.68685285 -0.30596266  11    sp_3  1.476197464 -0.71800879
    -#> 9643     1 -0.68685285 -0.30596266   4    sp_4  1.476197464 -0.71800879
    -#> 9653     0 -0.68685285 -0.30596266  12    sp_5  1.476197464 -0.71800879
    -#> 9663     1 -0.68685285 -0.30596266  13    sp_6  1.476197464 -0.71800879
    -#> 9673     0 -0.68685285 -0.30596266  10    sp_7  1.476197464 -0.71800879
    -#> 9683     0 -0.68685285 -0.30596266  10    sp_8  1.476197464 -0.71800879
    -#> 9693     0 -0.68685285 -0.30596266   7    sp_9  1.476197464 -0.71800879
    -#> 9703     0 -0.68685285 -0.30596266  18   sp_10  1.476197464 -0.71800879
    -#> 9713     0 -0.68685285 -0.30596266  17   sp_11  1.476197464 -0.71800879
    -#> 9723     1 -0.68685285 -0.30596266  20   sp_12  1.476197464 -0.71800879
    -#> 9733     1 -0.68685285 -0.30596266   9   sp_13  1.476197464 -0.71800879
    -#> 9743     0 -0.68685285 -0.30596266  11   sp_14  1.476197464 -0.71800879
    -#> 9753     1 -0.68685285 -0.30596266  12   sp_15  1.476197464 -0.71800879
    -#> 9763     0 -0.68685285 -0.30596266   8   sp_16  1.476197464 -0.71800879
    -#> 9773     0 -0.68685285 -0.30596266  18   sp_17  1.476197464 -0.71800879
    -#> 9783     0 -0.68685285 -0.30596266   5   sp_18  1.476197464 -0.71800879
    -#> 9793     0 -0.68685285 -0.30596266  18   sp_19  1.476197464 -0.71800879
    -#> 9803     0 -0.68685285 -0.30596266   6   sp_20  1.476197464 -0.71800879
    -#> 9813     0 -0.68685285 -0.30596266  10   sp_21  1.476197464 -0.71800879
    -#> 9823     0 -0.68685285 -0.30596266   9   sp_22  1.476197464 -0.71800879
    -#> 9833     1 -0.68685285 -0.30596266  11   sp_23  1.476197464 -0.71800879
    -#> 9843     0 -0.68685285 -0.30596266   6   sp_24  1.476197464 -0.71800879
    -#> 9853     0 -0.68685285 -0.30596266  12   sp_25  1.476197464 -0.71800879
    -#> 9863     0 -0.68685285 -0.30596266  19   sp_26  1.476197464 -0.71800879
    -#> 9873     0 -0.68685285 -0.30596266   4   sp_27  1.476197464 -0.71800879
    -#> 9883     0 -0.68685285 -0.30596266   3   sp_28  1.476197464 -0.71800879
    -#> 9893     0 -0.68685285 -0.30596266  14   sp_29  1.476197464 -0.71800879
    -#> 9903     0 -0.68685285 -0.30596266   8   sp_30  1.476197464 -0.71800879
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    -#> 10823    0 -0.44566197 -0.38047100   4    sp_2  0.610727338 -1.32709228
    -#> 10833    1 -0.44566197 -0.38047100  10    sp_3  0.610727338 -1.32709228
    -#> 10843    0 -0.44566197 -0.38047100  16    sp_4  0.610727338 -1.32709228
    -#> 10853    0 -0.44566197 -0.38047100  16    sp_5  0.610727338 -1.32709228
    -#> 10863    1 -0.44566197 -0.38047100  20    sp_6  0.610727338 -1.32709228
    -#> 10873    1 -0.44566197 -0.38047100  10    sp_7  0.610727338 -1.32709228
    -#> 10883    0 -0.44566197 -0.38047100   6    sp_8  0.610727338 -1.32709228
    -#> 10893    0 -0.44566197 -0.38047100  19    sp_9  0.610727338 -1.32709228
    -#> 10903    0 -0.44566197 -0.38047100   4   sp_10  0.610727338 -1.32709228
    -#> 10913    0 -0.44566197 -0.38047100   9   sp_11  0.610727338 -1.32709228
    -#> 10923    0 -0.44566197 -0.38047100   4   sp_12  0.610727338 -1.32709228
    -#> 10933    0 -0.44566197 -0.38047100  15   sp_13  0.610727338 -1.32709228
    -#> 10943    1 -0.44566197 -0.38047100  20   sp_14  0.610727338 -1.32709228
    -#> 10953    1 -0.44566197 -0.38047100  17   sp_15  0.610727338 -1.32709228
    -#> 10963    0 -0.44566197 -0.38047100   7   sp_16  0.610727338 -1.32709228
    -#> 10973    1 -0.44566197 -0.38047100  15   sp_17  0.610727338 -1.32709228
    -#> 10983    0 -0.44566197 -0.38047100   5   sp_18  0.610727338 -1.32709228
    -#> 10993    1 -0.44566197 -0.38047100  14   sp_19  0.610727338 -1.32709228
    -#> 11003    0 -0.44566197 -0.38047100  15   sp_20  0.610727338 -1.32709228
    -#> 11013    0 -0.44566197 -0.38047100  15   sp_21  0.610727338 -1.32709228
    -#> 11023    1 -0.44566197 -0.38047100  16   sp_22  0.610727338 -1.32709228
    -#> 11033    0 -0.44566197 -0.38047100  19   sp_23  0.610727338 -1.32709228
    -#> 11043    1 -0.44566197 -0.38047100   8   sp_24  0.610727338 -1.32709228
    -#> 11053    0 -0.44566197 -0.38047100   5   sp_25  0.610727338 -1.32709228
    -#> 11063    0 -0.44566197 -0.38047100   7   sp_26  0.610727338 -1.32709228
    -#> 11073    1 -0.44566197 -0.38047100  20   sp_27  0.610727338 -1.32709228
    -#> 11083    0 -0.44566197 -0.38047100  16   sp_28  0.610727338 -1.32709228
    -#> 11093    0 -0.44566197 -0.38047100  16   sp_29  0.610727338 -1.32709228
    -#> 11103    0 -0.44566197 -0.38047100   9   sp_30  0.610727338 -1.32709228
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    -#> 12023    0  1.22408180 -0.69470698  11    sp_2  1.556856957  1.59533274
    -#> 12033    0  1.22408180 -0.69470698  19    sp_3  1.556856957  1.59533274
    -#> 12043    1  1.22408180 -0.69470698  10    sp_4  1.556856957  1.59533274
    -#> 12053    0  1.22408180 -0.69470698   2    sp_5  1.556856957  1.59533274
    -#> 12063    0  1.22408180 -0.69470698   6    sp_6  1.556856957  1.59533274
    -#> 12073    1  1.22408180 -0.69470698  20    sp_7  1.556856957  1.59533274
    -#> 12083    0  1.22408180 -0.69470698  14    sp_8  1.556856957  1.59533274
    -#> 12093    0  1.22408180 -0.69470698  14    sp_9  1.556856957  1.59533274
    -#> 12103    1  1.22408180 -0.69470698   6   sp_10  1.556856957  1.59533274
    -#> 12115    0  1.22408180 -0.69470698  18   sp_11  1.556856957  1.59533274
    -#> 12123    0  1.22408180 -0.69470698   2   sp_12  1.556856957  1.59533274
    -#> 12133    0  1.22408180 -0.69470698   8   sp_13  1.556856957  1.59533274
    -#> 12143    0  1.22408180 -0.69470698  11   sp_14  1.556856957  1.59533274
    -#> 12153    0  1.22408180 -0.69470698   7   sp_15  1.556856957  1.59533274
    -#> 12163    0  1.22408180 -0.69470698  19   sp_16  1.556856957  1.59533274
    -#> 12173    0  1.22408180 -0.69470698   8   sp_17  1.556856957  1.59533274
    -#> 12183    1  1.22408180 -0.69470698  10   sp_18  1.556856957  1.59533274
    -#> 12193    0  1.22408180 -0.69470698   5   sp_19  1.556856957  1.59533274
    -#> 12203    0  1.22408180 -0.69470698  17   sp_20  1.556856957  1.59533274
    -#> 12215    0  1.22408180 -0.69470698   6   sp_21  1.556856957  1.59533274
    -#> 12223    0  1.22408180 -0.69470698   8   sp_22  1.556856957  1.59533274
    -#> 12233    1  1.22408180 -0.69470698  20   sp_23  1.556856957  1.59533274
    -#> 12243    0  1.22408180 -0.69470698   6   sp_24  1.556856957  1.59533274
    -#> 12253    0  1.22408180 -0.69470698  15   sp_25  1.556856957  1.59533274
    -#> 12263    0  1.22408180 -0.69470698  17   sp_26  1.556856957  1.59533274
    -#> 12273    0  1.22408180 -0.69470698   3   sp_27  1.556856957  1.59533274
    -#> 12283    0  1.22408180 -0.69470698  15   sp_28  1.556856957  1.59533274
    -#> 12293    1  1.22408180 -0.69470698  20   sp_29  1.556856957  1.59533274
    -#> 12303    0  1.22408180 -0.69470698   1   sp_30  1.556856957  1.59533274
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    -#> 13283    0  0.35981383 -0.20791728  10    sp_8  2.279082282  0.43278793
    -#> 13293    0  0.35981383 -0.20791728  19    sp_9  2.279082282  0.43278793
    -#> 13303    1  0.35981383 -0.20791728  17   sp_10  2.279082282  0.43278793
    -#> 13315    0  0.35981383 -0.20791728   7   sp_11  2.279082282  0.43278793
    -#> 13323    1  0.35981383 -0.20791728   6   sp_12  2.279082282  0.43278793
    -#> 13333    0  0.35981383 -0.20791728  12   sp_13  2.279082282  0.43278793
    -#> 13343    1  0.35981383 -0.20791728   4   sp_14  2.279082282  0.43278793
    -#> 13353    0  0.35981383 -0.20791728  19   sp_15  2.279082282  0.43278793
    -#> 13363    1  0.35981383 -0.20791728   2   sp_16  2.279082282  0.43278793
    -#> 13373    0  0.35981383 -0.20791728   4   sp_17  2.279082282  0.43278793
    -#> 13383    0  0.35981383 -0.20791728  11   sp_18  2.279082282  0.43278793
    -#> 13393    0  0.35981383 -0.20791728   1   sp_19  2.279082282  0.43278793
    -#> 13403    0  0.35981383 -0.20791728  19   sp_20  2.279082282  0.43278793
    -#> 13415    1  0.35981383 -0.20791728  18   sp_21  2.279082282  0.43278793
    -#> 13423    0  0.35981383 -0.20791728  16   sp_22  2.279082282  0.43278793
    -#> 13433    1  0.35981383 -0.20791728   3   sp_23  2.279082282  0.43278793
    -#> 13443    0  0.35981383 -0.20791728   1   sp_24  2.279082282  0.43278793
    -#> 13453    1  0.35981383 -0.20791728   2   sp_25  2.279082282  0.43278793
    -#> 13463    1  0.35981383 -0.20791728   2   sp_26  2.279082282  0.43278793
    -#> 13473    0  0.35981383 -0.20791728   8   sp_27  2.279082282  0.43278793
    -#> 13483    1  0.35981383 -0.20791728  20   sp_28  2.279082282  0.43278793
    -#> 13493    0  0.35981383 -0.20791728  14   sp_29  2.279082282  0.43278793
    -#> 13503    0  0.35981383 -0.20791728  13   sp_30  2.279082282  0.43278793
    -#> 14415    1  0.40077145 -1.26539635   7    sp_1 -0.471806570 -1.08949913
    -#> 14423    0  0.40077145 -1.26539635   8    sp_2 -0.471806570 -1.08949913
    -#> 14433    0  0.40077145 -1.26539635   3    sp_3 -0.471806570 -1.08949913
    -#> 14443    0  0.40077145 -1.26539635  16    sp_4 -0.471806570 -1.08949913
    -#> 14453    0  0.40077145 -1.26539635   1    sp_5 -0.471806570 -1.08949913
    -#> 14463    0  0.40077145 -1.26539635  12    sp_6 -0.471806570 -1.08949913
    -#> 14473    1  0.40077145 -1.26539635  18    sp_7 -0.471806570 -1.08949913
    -#> 14483    0  0.40077145 -1.26539635  14    sp_8 -0.471806570 -1.08949913
    -#> 14493    0  0.40077145 -1.26539635   8    sp_9 -0.471806570 -1.08949913
    -#> 14503    0  0.40077145 -1.26539635   5   sp_10 -0.471806570 -1.08949913
    -#> 14515    1  0.40077145 -1.26539635  17   sp_11 -0.471806570 -1.08949913
    -#> 14523    1  0.40077145 -1.26539635  11   sp_12 -0.471806570 -1.08949913
    -#> 14533    1  0.40077145 -1.26539635   4   sp_13 -0.471806570 -1.08949913
    -#> 14543    1  0.40077145 -1.26539635  13   sp_14 -0.471806570 -1.08949913
    -#> 14553    1  0.40077145 -1.26539635   8   sp_15 -0.471806570 -1.08949913
    -#> 14563    0  0.40077145 -1.26539635  15   sp_16 -0.471806570 -1.08949913
    -#> 14573    0  0.40077145 -1.26539635   4   sp_17 -0.471806570 -1.08949913
    -#> 14583    0  0.40077145 -1.26539635  13   sp_18 -0.471806570 -1.08949913
    -#> 14593    1  0.40077145 -1.26539635   3   sp_19 -0.471806570 -1.08949913
    -#> 14603    0  0.40077145 -1.26539635   7   sp_20 -0.471806570 -1.08949913
    -#> 14615    0  0.40077145 -1.26539635   1   sp_21 -0.471806570 -1.08949913
    -#> 14623    0  0.40077145 -1.26539635   6   sp_22 -0.471806570 -1.08949913
    -#> 14633    1  0.40077145 -1.26539635  13   sp_23 -0.471806570 -1.08949913
    -#> 14643    1  0.40077145 -1.26539635  17   sp_24 -0.471806570 -1.08949913
    -#> 14653    0  0.40077145 -1.26539635   6   sp_25 -0.471806570 -1.08949913
    -#> 14663    1  0.40077145 -1.26539635  10   sp_26 -0.471806570 -1.08949913
    -#> 14673    0  0.40077145 -1.26539635  13   sp_27 -0.471806570 -1.08949913
    -#> 14683    0  0.40077145 -1.26539635   6   sp_28 -0.471806570 -1.08949913
    -#> 14693    1  0.40077145 -1.26539635   9   sp_29 -0.471806570 -1.08949913
    -#> 14703    0  0.40077145 -1.26539635   8   sp_30 -0.471806570 -1.08949913
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    -#> 15623    0  0.11068272  2.16895597  16    sp_2  0.212686484 -1.31798554
    -#> 15633    0  0.11068272  2.16895597   2    sp_3  0.212686484 -1.31798554
    -#> 15643    0  0.11068272  2.16895597   8    sp_4  0.212686484 -1.31798554
    -#> 15653    0  0.11068272  2.16895597  14    sp_5  0.212686484 -1.31798554
    -#> 15663    0  0.11068272  2.16895597  12    sp_6  0.212686484 -1.31798554
    -#> 15673    0  0.11068272  2.16895597   8    sp_7  0.212686484 -1.31798554
    -#> 15683    0  0.11068272  2.16895597   9    sp_8  0.212686484 -1.31798554
    -#> 15693    0  0.11068272  2.16895597   8    sp_9  0.212686484 -1.31798554
    -#> 15703    0  0.11068272  2.16895597   9   sp_10  0.212686484 -1.31798554
    -#> 15713    0  0.11068272  2.16895597  20   sp_11  0.212686484 -1.31798554
    -#> 15723    0  0.11068272  2.16895597   1   sp_12  0.212686484 -1.31798554
    -#> 15733    0  0.11068272  2.16895597   3   sp_13  0.212686484 -1.31798554
    -#> 15743    0  0.11068272  2.16895597   8   sp_14  0.212686484 -1.31798554
    -#> 15753    0  0.11068272  2.16895597   2   sp_15  0.212686484 -1.31798554
    -#> 15763    0  0.11068272  2.16895597   1   sp_16  0.212686484 -1.31798554
    -#> 15773    0  0.11068272  2.16895597   9   sp_17  0.212686484 -1.31798554
    -#> 15783    1  0.11068272  2.16895597   7   sp_18  0.212686484 -1.31798554
    -#> 15793    0  0.11068272  2.16895597  13   sp_19  0.212686484 -1.31798554
    -#> 15803    0  0.11068272  2.16895597  20   sp_20  0.212686484 -1.31798554
    -#> 15813    0  0.11068272  2.16895597  14   sp_21  0.212686484 -1.31798554
    -#> 15823    0  0.11068272  2.16895597  16   sp_22  0.212686484 -1.31798554
    -#> 15833    1  0.11068272  2.16895597   7   sp_23  0.212686484 -1.31798554
    -#> 15843    0  0.11068272  2.16895597   4   sp_24  0.212686484 -1.31798554
    -#> 15853    0  0.11068272  2.16895597  13   sp_25  0.212686484 -1.31798554
    -#> 15863    0  0.11068272  2.16895597  12   sp_26  0.212686484 -1.31798554
    -#> 15873    0  0.11068272  2.16895597  13   sp_27  0.212686484 -1.31798554
    -#> 15883    0  0.11068272  2.16895597  20   sp_28  0.212686484 -1.31798554
    -#> 15893    0  0.11068272  2.16895597  10   sp_29  0.212686484 -1.31798554
    -#> 15903    0  0.11068272  2.16895597   9   sp_30  0.212686484 -1.31798554
    -#> 16813    0 -0.55584113  1.20796200  12    sp_1  2.666263607 -0.34159485
    -#> 16823    0 -0.55584113  1.20796200   8    sp_2  2.666263607 -0.34159485
    -#> 16833    0 -0.55584113  1.20796200   7    sp_3  2.666263607 -0.34159485
    -#> 16843    1 -0.55584113  1.20796200  15    sp_4  2.666263607 -0.34159485
    -#> 16853    0 -0.55584113  1.20796200  19    sp_5  2.666263607 -0.34159485
    -#> 16863    0 -0.55584113  1.20796200  17    sp_6  2.666263607 -0.34159485
    -#> 16873    0 -0.55584113  1.20796200  11    sp_7  2.666263607 -0.34159485
    -#> 16883    0 -0.55584113  1.20796200   7    sp_8  2.666263607 -0.34159485
    -#> 16893    0 -0.55584113  1.20796200  19    sp_9  2.666263607 -0.34159485
    -#> 16903    0 -0.55584113  1.20796200   3   sp_10  2.666263607 -0.34159485
    -#> 16913    0 -0.55584113  1.20796200   6   sp_11  2.666263607 -0.34159485
    -#> 16923    1 -0.55584113  1.20796200   7   sp_12  2.666263607 -0.34159485
    -#> 16933    0 -0.55584113  1.20796200   4   sp_13  2.666263607 -0.34159485
    -#> 16943    1 -0.55584113  1.20796200  10   sp_14  2.666263607 -0.34159485
    -#> 16953    0 -0.55584113  1.20796200  17   sp_15  2.666263607 -0.34159485
    -#> 16963    0 -0.55584113  1.20796200  16   sp_16  2.666263607 -0.34159485
    -#> 16973    0 -0.55584113  1.20796200   8   sp_17  2.666263607 -0.34159485
    -#> 16983    0 -0.55584113  1.20796200   3   sp_18  2.666263607 -0.34159485
    -#> 16993    0 -0.55584113  1.20796200  12   sp_19  2.666263607 -0.34159485
    -#> 17003    0 -0.55584113  1.20796200  14   sp_20  2.666263607 -0.34159485
    -#> 17013    0 -0.55584113  1.20796200   5   sp_21  2.666263607 -0.34159485
    -#> 17023    0 -0.55584113  1.20796200  14   sp_22  2.666263607 -0.34159485
    -#> 17033    0 -0.55584113  1.20796200   6   sp_23  2.666263607 -0.34159485
    -#> 17043    0 -0.55584113  1.20796200   9   sp_24  2.666263607 -0.34159485
    -#> 17053    0 -0.55584113  1.20796200   1   sp_25  2.666263607 -0.34159485
    -#> 17063    0 -0.55584113  1.20796200  20   sp_26  2.666263607 -0.34159485
    -#> 17073    0 -0.55584113  1.20796200  14   sp_27  2.666263607 -0.34159485
    -#> 17083    0 -0.55584113  1.20796200  19   sp_28  2.666263607 -0.34159485
    -#> 17093    0 -0.55584113  1.20796200   5   sp_29  2.666263607 -0.34159485
    -#> 17103    0 -0.55584113  1.20796200   2   sp_30  2.666263607 -0.34159485
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    -#> 18023    1  1.78691314 -1.12310858  20    sp_2  0.902094706 -0.29755526
    -#> 18033    0  1.78691314 -1.12310858   4    sp_3  0.902094706 -0.29755526
    -#> 18043    1  1.78691314 -1.12310858  11    sp_4  0.902094706 -0.29755526
    -#> 18053    1  1.78691314 -1.12310858   5    sp_5  0.902094706 -0.29755526
    -#> 18063    1  1.78691314 -1.12310858   4    sp_6  0.902094706 -0.29755526
    -#> 18073    1  1.78691314 -1.12310858  19    sp_7  0.902094706 -0.29755526
    -#> 18083    0  1.78691314 -1.12310858   3    sp_8  0.902094706 -0.29755526
    -#> 18093    0  1.78691314 -1.12310858   1    sp_9  0.902094706 -0.29755526
    -#> 18103    1  1.78691314 -1.12310858   7   sp_10  0.902094706 -0.29755526
    -#> 18113    0  1.78691314 -1.12310858   5   sp_11  0.902094706 -0.29755526
    -#> 18123    1  1.78691314 -1.12310858   9   sp_12  0.902094706 -0.29755526
    -#> 18133    1  1.78691314 -1.12310858  17   sp_13  0.902094706 -0.29755526
    -#> 18143    0  1.78691314 -1.12310858   5   sp_14  0.902094706 -0.29755526
    -#> 18153    1  1.78691314 -1.12310858  12   sp_15  0.902094706 -0.29755526
    -#> 18163    1  1.78691314 -1.12310858   2   sp_16  0.902094706 -0.29755526
    -#> 18173    1  1.78691314 -1.12310858  18   sp_17  0.902094706 -0.29755526
    -#> 18183    1  1.78691314 -1.12310858   4   sp_18  0.902094706 -0.29755526
    -#> 18193    1  1.78691314 -1.12310858  10   sp_19  0.902094706 -0.29755526
    -#> 18203    1  1.78691314 -1.12310858  15   sp_20  0.902094706 -0.29755526
    -#> 18213    0  1.78691314 -1.12310858   8   sp_21  0.902094706 -0.29755526
    -#> 18223    1  1.78691314 -1.12310858   1   sp_22  0.902094706 -0.29755526
    -#> 18233    0  1.78691314 -1.12310858  11   sp_23  0.902094706 -0.29755526
    -#> 18243    0  1.78691314 -1.12310858   5   sp_24  0.902094706 -0.29755526
    -#> 18253    1  1.78691314 -1.12310858  11   sp_25  0.902094706 -0.29755526
    -#> 18263    1  1.78691314 -1.12310858  15   sp_26  0.902094706 -0.29755526
    -#> 18273    0  1.78691314 -1.12310858  15   sp_27  0.902094706 -0.29755526
    -#> 18283    1  1.78691314 -1.12310858  10   sp_28  0.902094706 -0.29755526
    -#> 18293    1  1.78691314 -1.12310858  15   sp_29  0.902094706 -0.29755526
    -#> 18303    0  1.78691314 -1.12310858  15   sp_30  0.902094706 -0.29755526
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    -#> 19223    1  0.49785048 -0.40288484  12    sp_2  2.186407733  0.08851264
    -#> 19233    0  0.49785048 -0.40288484   9    sp_3  2.186407733  0.08851264
    -#> 19243    0  0.49785048 -0.40288484   4    sp_4  2.186407733  0.08851264
    -#> 19253    1  0.49785048 -0.40288484   3    sp_5  2.186407733  0.08851264
    -#> 19263    0  0.49785048 -0.40288484   7    sp_6  2.186407733  0.08851264
    -#> 19273    1  0.49785048 -0.40288484   4    sp_7  2.186407733  0.08851264
    -#> 19283    0  0.49785048 -0.40288484   8    sp_8  2.186407733  0.08851264
    -#> 19293    0  0.49785048 -0.40288484   5    sp_9  2.186407733  0.08851264
    -#> 19303    1  0.49785048 -0.40288484   6   sp_10  2.186407733  0.08851264
    -#> 19313    1  0.49785048 -0.40288484   4   sp_11  2.186407733  0.08851264
    -#> 19323    1  0.49785048 -0.40288484   3   sp_12  2.186407733  0.08851264
    -#> 19333    1  0.49785048 -0.40288484  11   sp_13  2.186407733  0.08851264
    -#> 19343    0  0.49785048 -0.40288484  10   sp_14  2.186407733  0.08851264
    -#> 19353    0  0.49785048 -0.40288484   5   sp_15  2.186407733  0.08851264
    -#> 19363    0  0.49785048 -0.40288484  11   sp_16  2.186407733  0.08851264
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    -#> 19383    0  0.49785048 -0.40288484  15   sp_18  2.186407733  0.08851264
    -#> 19393    1  0.49785048 -0.40288484  19   sp_19  2.186407733  0.08851264
    -#> 19403    0  0.49785048 -0.40288484  10   sp_20  2.186407733  0.08851264
    -#> 19413    0  0.49785048 -0.40288484  13   sp_21  2.186407733  0.08851264
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    -#> 19433    0  0.49785048 -0.40288484  18   sp_23  2.186407733  0.08851264
    -#> 19443    0  0.49785048 -0.40288484  10   sp_24  2.186407733  0.08851264
    -#> 19453    0  0.49785048 -0.40288484   8   sp_25  2.186407733  0.08851264
    -#> 19463    1  0.49785048 -0.40288484  12   sp_26  2.186407733  0.08851264
    -#> 19473    0  0.49785048 -0.40288484  10   sp_27  2.186407733  0.08851264
    -#> 19483    0  0.49785048 -0.40288484   7   sp_28  2.186407733  0.08851264
    -#> 19493    0  0.49785048 -0.40288484   7   sp_29  2.186407733  0.08851264
    -#> 19503    0  0.49785048 -0.40288484   6   sp_30  2.186407733  0.08851264
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    -#> 20553    0 -1.96661716 -0.46665535  14   sp_15  0.595320049  1.09064461
    -#> 20563    0 -1.96661716 -0.46665535  15   sp_16  0.595320049  1.09064461
    -#> 20573    0 -1.96661716 -0.46665535  19   sp_17  0.595320049  1.09064461
    -#> 20583    0 -1.96661716 -0.46665535   9   sp_18  0.595320049  1.09064461
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    -#> 20613    0 -1.96661716 -0.46665535   8   sp_21  0.595320049  1.09064461
    -#> 20623    0 -1.96661716 -0.46665535   9   sp_22  0.595320049  1.09064461
    -#> 20633    0 -1.96661716 -0.46665535  16   sp_23  0.595320049  1.09064461
    -#> 20643    0 -1.96661716 -0.46665535   9   sp_24  0.595320049  1.09064461
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    -#> 20663    0 -1.96661716 -0.46665535   9   sp_26  0.595320049  1.09064461
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    -#> 20683    0 -1.96661716 -0.46665535  11   sp_28  0.595320049  1.09064461
    -#> 20693    0 -1.96661716 -0.46665535   4   sp_29  0.595320049  1.09064461
    -#> 20703    0 -1.96661716 -0.46665535   7   sp_30  0.595320049  1.09064461
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    -#> 21633    1  0.70135590  0.77996512   1    sp_3  0.332761273 -1.52645307
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    -#> 21653    0  0.70135590  0.77996512   6    sp_5  0.332761273 -1.52645307
    -#> 21663    0  0.70135590  0.77996512  10    sp_6  0.332761273 -1.52645307
    -#> 21673    0  0.70135590  0.77996512  18    sp_7  0.332761273 -1.52645307
    -#> 21683    0  0.70135590  0.77996512   3    sp_8  0.332761273 -1.52645307
    -#> 21693    0  0.70135590  0.77996512   3    sp_9  0.332761273 -1.52645307
    -#> 21703    1  0.70135590  0.77996512   2   sp_10  0.332761273 -1.52645307
    -#> 21713    1  0.70135590  0.77996512   8   sp_11  0.332761273 -1.52645307
    -#> 21723    1  0.70135590  0.77996512  13   sp_12  0.332761273 -1.52645307
    -#> 21733    0  0.70135590  0.77996512   8   sp_13  0.332761273 -1.52645307
    -#> 21743    1  0.70135590  0.77996512   2   sp_14  0.332761273 -1.52645307
    -#> 21753    0  0.70135590  0.77996512   6   sp_15  0.332761273 -1.52645307
    -#> 21763    0  0.70135590  0.77996512  17   sp_16  0.332761273 -1.52645307
    -#> 21773    0  0.70135590  0.77996512  14   sp_17  0.332761273 -1.52645307
    -#> 21783    1  0.70135590  0.77996512   7   sp_18  0.332761273 -1.52645307
    -#> 21793    0  0.70135590  0.77996512  13   sp_19  0.332761273 -1.52645307
    -#> 21803    0  0.70135590  0.77996512   8   sp_20  0.332761273 -1.52645307
    -#> 21813    0  0.70135590  0.77996512   6   sp_21  0.332761273 -1.52645307
    -#> 21823    1  0.70135590  0.77996512  11   sp_22  0.332761273 -1.52645307
    -#> 21833    0  0.70135590  0.77996512  10   sp_23  0.332761273 -1.52645307
    -#> 21843    0  0.70135590  0.77996512  17   sp_24  0.332761273 -1.52645307
    -#> 21853    0  0.70135590  0.77996512   7   sp_25  0.332761273 -1.52645307
    -#> 21863    1  0.70135590  0.77996512  12   sp_26  0.332761273 -1.52645307
    -#> 21873    0  0.70135590  0.77996512  19   sp_27  0.332761273 -1.52645307
    -#> 21883    0  0.70135590  0.77996512  17   sp_28  0.332761273 -1.52645307
    -#> 21893    0  0.70135590  0.77996512   8   sp_29  0.332761273 -1.52645307
    -#> 21903    0  0.70135590  0.77996512  15   sp_30  0.332761273 -1.52645307
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    -#> 22943    0 -0.47279141 -0.08336907  12   sp_14  1.399227090  1.51928992
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    -#> 22973    0 -0.47279141 -0.08336907  20   sp_17  1.399227090  1.51928992
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    -#> 23053    0 -0.47279141 -0.08336907  19   sp_25  1.399227090  1.51928992
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    -#> 23073    0 -0.47279141 -0.08336907  18   sp_27  1.399227090  1.51928992
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    -#> 28953    0 -0.62503927 -0.22577099  14   sp_15  1.324704070  1.10392464
    -#> 28963    0 -0.62503927 -0.22577099  19   sp_16  1.324704070  1.10392464
    -#> 28973    0 -0.62503927 -0.22577099  14   sp_17  1.324704070  1.10392464
    -#> 28983    0 -0.62503927 -0.22577099  16   sp_18  1.324704070  1.10392464
    -#> 28993    0 -0.62503927 -0.22577099  10   sp_19  1.324704070  1.10392464
    -#> 29003    0 -0.62503927 -0.22577099  12   sp_20  1.324704070  1.10392464
    -#> 29013    0 -0.62503927 -0.22577099  18   sp_21  1.324704070  1.10392464
    -#> 29023    0 -0.62503927 -0.22577099   3   sp_22  1.324704070  1.10392464
    -#> 29033    0 -0.62503927 -0.22577099   1   sp_23  1.324704070  1.10392464
    -#> 29043    0 -0.62503927 -0.22577099  12   sp_24  1.324704070  1.10392464
    -#> 29053    0 -0.62503927 -0.22577099  17   sp_25  1.324704070  1.10392464
    -#> 29063    0 -0.62503927 -0.22577099   1   sp_26  1.324704070  1.10392464
    -#> 29073    0 -0.62503927 -0.22577099   4   sp_27  1.324704070  1.10392464
    -#> 29083    0 -0.62503927 -0.22577099  19   sp_28  1.324704070  1.10392464
    -#> 29093    0 -0.62503927 -0.22577099  13   sp_29  1.324704070  1.10392464
    -#> 29103    0 -0.62503927 -0.22577099  18   sp_30  1.324704070  1.10392464
    -#> 30013    0 -1.68669331  1.51647060  15    sp_1 -0.531131309  0.78017265
    -#> 30023    0 -1.68669331  1.51647060  13    sp_2 -0.531131309  0.78017265
    -#> 30033    0 -1.68669331  1.51647060  14    sp_3 -0.531131309  0.78017265
    -#> 30043    0 -1.68669331  1.51647060  18    sp_4 -0.531131309  0.78017265
    -#> 30053    0 -1.68669331  1.51647060  12    sp_5 -0.531131309  0.78017265
    -#> 30063    0 -1.68669331  1.51647060  18    sp_6 -0.531131309  0.78017265
    -#> 30073    0 -1.68669331  1.51647060   7    sp_7 -0.531131309  0.78017265
    -#> 30083    0 -1.68669331  1.51647060   4    sp_8 -0.531131309  0.78017265
    -#> 30093    0 -1.68669331  1.51647060   4    sp_9 -0.531131309  0.78017265
    -#> 30103    0 -1.68669331  1.51647060   3   sp_10 -0.531131309  0.78017265
    -#> 30113    0 -1.68669331  1.51647060  11   sp_11 -0.531131309  0.78017265
    -#> 30123    0 -1.68669331  1.51647060  19   sp_12 -0.531131309  0.78017265
    -#> 30133    0 -1.68669331  1.51647060  16   sp_13 -0.531131309  0.78017265
    -#> 30143    0 -1.68669331  1.51647060  15   sp_14 -0.531131309  0.78017265
    -#> 30153    0 -1.68669331  1.51647060  11   sp_15 -0.531131309  0.78017265
    -#> 30163    0 -1.68669331  1.51647060   6   sp_16 -0.531131309  0.78017265
    -#> 30173    0 -1.68669331  1.51647060   5   sp_17 -0.531131309  0.78017265
    -#> 30183    0 -1.68669331  1.51647060   2   sp_18 -0.531131309  0.78017265
    -#> 30193    0 -1.68669331  1.51647060  17   sp_19 -0.531131309  0.78017265
    -#> 30203    0 -1.68669331  1.51647060   5   sp_20 -0.531131309  0.78017265
    -#> 30213    0 -1.68669331  1.51647060  19   sp_21 -0.531131309  0.78017265
    -#> 30223    0 -1.68669331  1.51647060  15   sp_22 -0.531131309  0.78017265
    -#> 30233    0 -1.68669331  1.51647060  19   sp_23 -0.531131309  0.78017265
    -#> 30243    0 -1.68669331  1.51647060   3   sp_24 -0.531131309  0.78017265
    -#> 30253    0 -1.68669331  1.51647060  15   sp_25 -0.531131309  0.78017265
    -#> 30263    0 -1.68669331  1.51647060   3   sp_26 -0.531131309  0.78017265
    -#> 30273    1 -1.68669331  1.51647060   2   sp_27 -0.531131309  0.78017265
    -#> 30283    0 -1.68669331  1.51647060   5   sp_28 -0.531131309  0.78017265
    -#> 30293    0 -1.68669331  1.51647060   5   sp_29 -0.531131309  0.78017265
    -#> 30303    0 -1.68669331  1.51647060   7   sp_30 -0.531131309  0.78017265
    -#> 31213    0  0.83778704 -1.54875280   2    sp_1  0.167775141 -1.40425215
    -#> 31223    1  0.83778704 -1.54875280  16    sp_2  0.167775141 -1.40425215
    -#> 31233    0  0.83778704 -1.54875280   8    sp_3  0.167775141 -1.40425215
    -#> 31243    0  0.83778704 -1.54875280  18    sp_4  0.167775141 -1.40425215
    -#> 31253    1  0.83778704 -1.54875280  19    sp_5  0.167775141 -1.40425215
    -#> 31263    1  0.83778704 -1.54875280   9    sp_6  0.167775141 -1.40425215
    -#> 31273    1  0.83778704 -1.54875280  19    sp_7  0.167775141 -1.40425215
    -#> 31283    0  0.83778704 -1.54875280  14    sp_8  0.167775141 -1.40425215
    -#> 31293    1  0.83778704 -1.54875280  19    sp_9  0.167775141 -1.40425215
    -#> 31303    0  0.83778704 -1.54875280   5   sp_10  0.167775141 -1.40425215
    -#> 31313    1  0.83778704 -1.54875280  13   sp_11  0.167775141 -1.40425215
    -#> 31323    0  0.83778704 -1.54875280  16   sp_12  0.167775141 -1.40425215
    -#> 31333    0  0.83778704 -1.54875280   7   sp_13  0.167775141 -1.40425215
    -#> 31343    1  0.83778704 -1.54875280   8   sp_14  0.167775141 -1.40425215
    -#> 31353    1  0.83778704 -1.54875280  16   sp_15  0.167775141 -1.40425215
    -#> 31363    0  0.83778704 -1.54875280  15   sp_16  0.167775141 -1.40425215
    -#> 31373    1  0.83778704 -1.54875280  20   sp_17  0.167775141 -1.40425215
    -#> 31383    0  0.83778704 -1.54875280   3   sp_18  0.167775141 -1.40425215
    -#> 31393    1  0.83778704 -1.54875280  17   sp_19  0.167775141 -1.40425215
    -#> 31403    0  0.83778704 -1.54875280   7   sp_20  0.167775141 -1.40425215
    -#> 31413    0  0.83778704 -1.54875280  13   sp_21  0.167775141 -1.40425215
    -#> 31423    1  0.83778704 -1.54875280   3   sp_22  0.167775141 -1.40425215
    -#> 31433    0  0.83778704 -1.54875280  13   sp_23  0.167775141 -1.40425215
    -#> 31443    0  0.83778704 -1.54875280  14   sp_24  0.167775141 -1.40425215
    -#> 31453    1  0.83778704 -1.54875280   4   sp_25  0.167775141 -1.40425215
    -#> 31463    0  0.83778704 -1.54875280  16   sp_26  0.167775141 -1.40425215
    -#> 31473    0  0.83778704 -1.54875280   9   sp_27  0.167775141 -1.40425215
    -#> 31483    0  0.83778704 -1.54875280  16   sp_28  0.167775141 -1.40425215
    -#> 31493    0  0.83778704 -1.54875280   9   sp_29  0.167775141 -1.40425215
    -#> 31503    1  0.83778704 -1.54875280   5   sp_30  0.167775141 -1.40425215
    -#> 32413    0  0.15337312  0.58461375  14    sp_1 -1.253938223 -0.88156275
    -#> 32423    1  0.15337312  0.58461375  12    sp_2 -1.253938223 -0.88156275
    -#> 32433    1  0.15337312  0.58461375  14    sp_3 -1.253938223 -0.88156275
    -#> 32443    0  0.15337312  0.58461375  13    sp_4 -1.253938223 -0.88156275
    -#> 32453    1  0.15337312  0.58461375  20    sp_5 -1.253938223 -0.88156275
    -#> 32463    0  0.15337312  0.58461375  15    sp_6 -1.253938223 -0.88156275
    -#> 32473    1  0.15337312  0.58461375   8    sp_7 -1.253938223 -0.88156275
    -#> 32483    0  0.15337312  0.58461375  13    sp_8 -1.253938223 -0.88156275
    -#> 32493    0  0.15337312  0.58461375   7    sp_9 -1.253938223 -0.88156275
    -#> 32503    0  0.15337312  0.58461375   5   sp_10 -1.253938223 -0.88156275
    -#> 32513    0  0.15337312  0.58461375   8   sp_11 -1.253938223 -0.88156275
    -#> 32523    0  0.15337312  0.58461375  15   sp_12 -1.253938223 -0.88156275
    -#> 32533    0  0.15337312  0.58461375  14   sp_13 -1.253938223 -0.88156275
    -#> 32543    0  0.15337312  0.58461375  16   sp_14 -1.253938223 -0.88156275
    -#> 32553    1  0.15337312  0.58461375   1   sp_15 -1.253938223 -0.88156275
    -#> 32563    0  0.15337312  0.58461375  14   sp_16 -1.253938223 -0.88156275
    -#> 32573    0  0.15337312  0.58461375  17   sp_17 -1.253938223 -0.88156275
    -#> 32583    0  0.15337312  0.58461375   7   sp_18 -1.253938223 -0.88156275
    -#> 32593    0  0.15337312  0.58461375   7   sp_19 -1.253938223 -0.88156275
    -#> 32603    0  0.15337312  0.58461375  13   sp_20 -1.253938223 -0.88156275
    -#> 32613    0  0.15337312  0.58461375  15   sp_21 -1.253938223 -0.88156275
    -#> 32623    0  0.15337312  0.58461375  12   sp_22 -1.253938223 -0.88156275
    -#> 32633    0  0.15337312  0.58461375  14   sp_23 -1.253938223 -0.88156275
    -#> 32643    0  0.15337312  0.58461375  19   sp_24 -1.253938223 -0.88156275
    -#> 32653    0  0.15337312  0.58461375  19   sp_25 -1.253938223 -0.88156275
    -#> 32663    0  0.15337312  0.58461375  17   sp_26 -1.253938223 -0.88156275
    -#> 32673    0  0.15337312  0.58461375   9   sp_27 -1.253938223 -0.88156275
    -#> 32683    0  0.15337312  0.58461375  13   sp_28 -1.253938223 -0.88156275
    -#> 32693    0  0.15337312  0.58461375  14   sp_29 -1.253938223 -0.88156275
    -#> 32703    0  0.15337312  0.58461375   6   sp_30 -1.253938223 -0.88156275
    -#> 33613    0 -1.13813694  0.12385424   1    sp_1  1.374599253 -0.17239352
    -#> 33623    0 -1.13813694  0.12385424  16    sp_2  1.374599253 -0.17239352
    -#> 33633    0 -1.13813694  0.12385424   8    sp_3  1.374599253 -0.17239352
    -#> 33643    0 -1.13813694  0.12385424   5    sp_4  1.374599253 -0.17239352
    -#> 33653    0 -1.13813694  0.12385424  10    sp_5  1.374599253 -0.17239352
    -#> 33663    0 -1.13813694  0.12385424   9    sp_6  1.374599253 -0.17239352
    -#> 33673    0 -1.13813694  0.12385424   5    sp_7  1.374599253 -0.17239352
    -#> 33683    0 -1.13813694  0.12385424  14    sp_8  1.374599253 -0.17239352
    -#> 33693    0 -1.13813694  0.12385424  19    sp_9  1.374599253 -0.17239352
    -#> 33703    0 -1.13813694  0.12385424   1   sp_10  1.374599253 -0.17239352
    -#> 33713    0 -1.13813694  0.12385424  16   sp_11  1.374599253 -0.17239352
    -#> 33723    0 -1.13813694  0.12385424   6   sp_12  1.374599253 -0.17239352
    -#> 33733    1 -1.13813694  0.12385424  20   sp_13  1.374599253 -0.17239352
    -#> 33743    0 -1.13813694  0.12385424   8   sp_14  1.374599253 -0.17239352
    -#> 33753    0 -1.13813694  0.12385424  14   sp_15  1.374599253 -0.17239352
    -#> 33763    0 -1.13813694  0.12385424  14   sp_16  1.374599253 -0.17239352
    -#> 33773    0 -1.13813694  0.12385424   8   sp_17  1.374599253 -0.17239352
    -#> 33783    0 -1.13813694  0.12385424  11   sp_18  1.374599253 -0.17239352
    -#> 33793    0 -1.13813694  0.12385424  20   sp_19  1.374599253 -0.17239352
    -#> 33803    0 -1.13813694  0.12385424   5   sp_20  1.374599253 -0.17239352
    -#> 33813    0 -1.13813694  0.12385424  14   sp_21  1.374599253 -0.17239352
    -#> 33823    0 -1.13813694  0.12385424   1   sp_22  1.374599253 -0.17239352
    -#> 33833    0 -1.13813694  0.12385424   1   sp_23  1.374599253 -0.17239352
    -#> 33843    0 -1.13813694  0.12385424   5   sp_24  1.374599253 -0.17239352
    -#> 33853    0 -1.13813694  0.12385424   3   sp_25  1.374599253 -0.17239352
    -#> 33863    0 -1.13813694  0.12385424   4   sp_26  1.374599253 -0.17239352
    -#> 33873    0 -1.13813694  0.12385424   3   sp_27  1.374599253 -0.17239352
    -#> 33883    1 -1.13813694  0.12385424  14   sp_28  1.374599253 -0.17239352
    -#> 33893    0 -1.13813694  0.12385424  18   sp_29  1.374599253 -0.17239352
    -#> 33903    0 -1.13813694  0.12385424  10   sp_30  1.374599253 -0.17239352
    -#> 34813    0  1.25381492  0.21594157  12    sp_1  1.307855946 -0.88732783
    -#> 34823    1  1.25381492  0.21594157  16    sp_2  1.307855946 -0.88732783
    -#> 34833    0  1.25381492  0.21594157   3    sp_3  1.307855946 -0.88732783
    -#> 34843    1  1.25381492  0.21594157  12    sp_4  1.307855946 -0.88732783
    -#> 34853    1  1.25381492  0.21594157   5    sp_5  1.307855946 -0.88732783
    -#> 34863    1  1.25381492  0.21594157  13    sp_6  1.307855946 -0.88732783
    -#> 34873    1  1.25381492  0.21594157   8    sp_7  1.307855946 -0.88732783
    -#> 34883    1  1.25381492  0.21594157  17    sp_8  1.307855946 -0.88732783
    -#> 34893    1  1.25381492  0.21594157   5    sp_9  1.307855946 -0.88732783
    -#> 34903    0  1.25381492  0.21594157  19   sp_10  1.307855946 -0.88732783
    -#> 34913    1  1.25381492  0.21594157   6   sp_11  1.307855946 -0.88732783
    -#> 34923    1  1.25381492  0.21594157   2   sp_12  1.307855946 -0.88732783
    -#> 34933    1  1.25381492  0.21594157  17   sp_13  1.307855946 -0.88732783
    -#> 34943    1  1.25381492  0.21594157  17   sp_14  1.307855946 -0.88732783
    -#> 34953    1  1.25381492  0.21594157   8   sp_15  1.307855946 -0.88732783
    -#> 34963    0  1.25381492  0.21594157  19   sp_16  1.307855946 -0.88732783
    -#> 34973    1  1.25381492  0.21594157  18   sp_17  1.307855946 -0.88732783
    -#> 34983    0  1.25381492  0.21594157  19   sp_18  1.307855946 -0.88732783
    -#> 34993    1  1.25381492  0.21594157   5   sp_19  1.307855946 -0.88732783
    -#> 35003    0  1.25381492  0.21594157  14   sp_20  1.307855946 -0.88732783
    -#> 35013    1  1.25381492  0.21594157  12   sp_21  1.307855946 -0.88732783
    -#> 35023    0  1.25381492  0.21594157   1   sp_22  1.307855946 -0.88732783
    -#> 35033    1  1.25381492  0.21594157  16   sp_23  1.307855946 -0.88732783
    -#> 35043    0  1.25381492  0.21594157  18   sp_24  1.307855946 -0.88732783
    -#> 35053    1  1.25381492  0.21594157  20   sp_25  1.307855946 -0.88732783
    -#> 35063    1  1.25381492  0.21594157   7   sp_26  1.307855946 -0.88732783
    -#> 35073    1  1.25381492  0.21594157   5   sp_27  1.307855946 -0.88732783
    -#> 35083    0  1.25381492  0.21594157  10   sp_28  1.307855946 -0.88732783
    -#> 35093    1  1.25381492  0.21594157   4   sp_29  1.307855946 -0.88732783
    -#> 35103    1  1.25381492  0.21594157   8   sp_30  1.307855946 -0.88732783
    -#>       ff_n_unit ff_n_rep ff_Q ff_unit ff_rep_index1 ff_rep_index2 ff_rep_index3
    -#> 1           900        4    1       1             1           901          1801
    -#> 2           -99        4    0       2             2           902          1802
    -#> 3           -99        4    0       3             3           903          1803
    -#> 4           -99        4    0       4             4           904          1804
    -#> 5           -99        4    1       5             5           905          1805
    -#> 6           -99        4    0       6             6           906          1806
    -#> 7           -99        4    0       7             7           907          1807
    -#> 8           -99        4    0       8             8           908          1808
    -#> 9           -99        4    0       9             9           909          1809
    -#> 10          -99        4    0      10            10           910          1810
    -#> 11          -99        4    1      11            11           911          1811
    -#> 12          -99        4    0      12            12           912          1812
    -#> 13          -99        4    1      13            13           913          1813
    -#> 14          -99        4    0      14            14           914          1814
    -#> 15          -99        4    0      15            15           915          1815
    -#> 16          -99        4    0      16            16           916          1816
    -#> 17          -99        4    1      17            17           917          1817
    -#> 18          -99        4    0      18            18           918          1818
    -#> 19          -99        4    0      19            19           919          1819
    -#> 20          -99        4    1      20            20           920          1820
    -#> 21          -99        4    0      21            21           921          1821
    -#> 22          -99        4    0      22            22           922          1822
    -#> 23          -99        4    0      23            23           923          1823
    -#> 24          -99        4    1      24            24           924          1824
    -#> 25          -99        4    0      25            25           925          1825
    -#> 26          -99        4    0      26            26           926          1826
    -#> 27          -99        4    1      27            27           927          1827
    -#> 28          -99        4    0      28            28           928          1828
    -#> 29          -99        4    0      29            29           929          1829
    -#> 30          -99        4    0      30            30           930          1830
    -#> 121         -99        4    0      31            31           931          1831
    -#> 122         -99        4    0      32            32           932          1832
    -#> 123         -99        4    0      33            33           933          1833
    -#> 124         -99        4    0      34            34           934          1834
    -#> 125         -99        4    0      35            35           935          1835
    -#> 126         -99        4    1      36            36           936          1836
    -#> 127         -99        4    1      37            37           937          1837
    -#> 128         -99        4    0      38            38           938          1838
    -#> 129         -99        4    0      39            39           939          1839
    -#> 130         -99        4    0      40            40           940          1840
    -#> 131         -99        4    1      41            41           941          1841
    -#> 132         -99        4    1      42            42           942          1842
    -#> 133         -99        4    0      43            43           943          1843
    -#> 134         -99        4    0      44            44           944          1844
    -#> 135         -99        4    0      45            45           945          1845
    -#> 136         -99        4    1      46            46           946          1846
    -#> 137         -99        4    0      47            47           947          1847
    -#> 138         -99        4    1      48            48           948          1848
    -#> 139         -99        4    1      49            49           949          1849
    -#> 140         -99        4    0      50            50           950          1850
    -#> 141         -99        4    0      51            51           951          1851
    -#> 142         -99        4    1      52            52           952          1852
    -#> 143         -99        4    1      53            53           953          1853
    -#> 144         -99        4    0      54            54           954          1854
    -#> 145         -99        4    0      55            55           955          1855
    -#> 146         -99        4    0      56            56           956          1856
    -#> 147         -99        4    0      57            57           957          1857
    -#> 148         -99        4    0      58            58           958          1858
    -#> 149         -99        4    1      59            59           959          1859
    -#> 150         -99        4    0      60            60           960          1860
    -#> 241         -99        4    0      61            61           961          1861
    -#> 242         -99        4    1      62            62           962          1862
    -#> 243         -99        4    0      63            63           963          1863
    -#> 244         -99        4    1      64            64           964          1864
    -#> 245         -99        4    1      65            65           965          1865
    -#> 246         -99        4    1      66            66           966          1866
    -#> 247         -99        4    1      67            67           967          1867
    -#> 248         -99        4    0      68            68           968          1868
    -#> 249         -99        4    1      69            69           969          1869
    -#> 250         -99        4    1      70            70           970          1870
    -#> 251         -99        4    0      71            71           971          1871
    -#> 252         -99        4    1      72            72           972          1872
    -#> 253         -99        4    0      73            73           973          1873
    -#> 254         -99        4    0      74            74           974          1874
    -#> 255         -99        4    1      75            75           975          1875
    -#> 256         -99        4    1      76            76           976          1876
    -#> 257         -99        4    0      77            77           977          1877
    -#> 258         -99        4    0      78            78           978          1878
    -#> 259         -99        4    0      79            79           979          1879
    -#> 260         -99        4    0      80            80           980          1880
    -#> 261         -99        4    1      81            81           981          1881
    -#> 262         -99        4    0      82            82           982          1882
    -#> 263         -99        4    0      83            83           983          1883
    -#> 264         -99        4    0      84            84           984          1884
    -#> 265         -99        4    0      85            85           985          1885
    -#> 266         -99        4    0      86            86           986          1886
    -#> 267         -99        4    1      87            87           987          1887
    -#> 268         -99        4    0      88            88           988          1888
    -#> 269         -99        4    1      89            89           989          1889
    -#> 270         -99        4    1      90            90           990          1890
    -#> 361         -99        4    0      91            91           991          1891
    -#> 362         -99        4    0      92            92           992          1892
    -#> 363         -99        4    0      93            93           993          1893
    -#> 364         -99        4    0      94            94           994          1894
    -#> 365         -99        4    1      95            95           995          1895
    -#> 366         -99        4    0      96            96           996          1896
    -#> 367         -99        4    0      97            97           997          1897
    -#> 368         -99        4    0      98            98           998          1898
    -#> 369         -99        4    0      99            99           999          1899
    -#> 370         -99        4    0     100           100          1000          1900
    -#> 371         -99        4    0     101           101          1001          1901
    -#> 372         -99        4    0     102           102          1002          1902
    -#> 373         -99        4    1     103           103          1003          1903
    -#> 374         -99        4    0     104           104          1004          1904
    -#> 375         -99        4    0     105           105          1005          1905
    -#> 376         -99        4    0     106           106          1006          1906
    -#> 377         -99        4    1     107           107          1007          1907
    -#> 378         -99        4    1     108           108          1008          1908
    -#> 379         -99        4    1     109           109          1009          1909
    -#> 380         -99        4    0     110           110          1010          1910
    -#> 381         -99        4    0     111           111          1011          1911
    -#> 382         -99        4    0     112           112          1012          1912
    -#> 383         -99        4    0     113           113          1013          1913
    -#> 384         -99        4    0     114           114          1014          1914
    -#> 385         -99        4    0     115           115          1015          1915
    -#> 386         -99        4    0     116           116          1016          1916
    -#> 387         -99        4    1     117           117          1017          1917
    -#> 388         -99        4    0     118           118          1018          1918
    -#> 389         -99        4    0     119           119          1019          1919
    -#> 390         -99        4    0     120           120          1020          1920
    -#> 481         -99        4    1     121           121          1021          1921
    -#> 482         -99        4    0     122           122          1022          1922
    -#> 483         -99        4    0     123           123          1023          1923
    -#> 484         -99        4    0     124           124          1024          1924
    -#> 485         -99        4    0     125           125          1025          1925
    -#> 486         -99        4    0     126           126          1026          1926
    -#> 487         -99        4    0     127           127          1027          1927
    -#> 488         -99        4    0     128           128          1028          1928
    -#> 489         -99        4    1     129           129          1029          1929
    -#> 490         -99        4    0     130           130          1030          1930
    -#> 491         -99        4    1     131           131          1031          1931
    -#> 492         -99        4    0     132           132          1032          1932
    -#> 493         -99        4    0     133           133          1033          1933
    -#> 494         -99        4    1     134           134          1034          1934
    -#> 495         -99        4    0     135           135          1035          1935
    -#> 496         -99        4    0     136           136          1036          1936
    -#> 497         -99        4    0     137           137          1037          1937
    -#> 498         -99        4    0     138           138          1038          1938
    -#> 499         -99        4    0     139           139          1039          1939
    -#> 500         -99        4    0     140           140          1040          1940
    -#> 501         -99        4    0     141           141          1041          1941
    -#> 502         -99        4    0     142           142          1042          1942
    -#> 503         -99        4    0     143           143          1043          1943
    -#> 504         -99        4    0     144           144          1044          1944
    -#> 505         -99        4    0     145           145          1045          1945
    -#> 506         -99        4    0     146           146          1046          1946
    -#> 507         -99        4    0     147           147          1047          1947
    -#> 508         -99        4    0     148           148          1048          1948
    -#> 509         -99        4    1     149           149          1049          1949
    -#> 510         -99        4    0     150           150          1050          1950
    -#> 601         -99        4    1     151           151          1051          1951
    -#> 602         -99        4    0     152           152          1052          1952
    -#> 603         -99        4    0     153           153          1053          1953
    -#> 604         -99        4    1     154           154          1054          1954
    -#> 605         -99        4    0     155           155          1055          1955
    -#> 606         -99        4    0     156           156          1056          1956
    -#> 607         -99        4    1     157           157          1057          1957
    -#> 608         -99        4    1     158           158          1058          1958
    -#> 609         -99        4    0     159           159          1059          1959
    -#> 610         -99        4    1     160           160          1060          1960
    -#> 611         -99        4    0     161           161          1061          1961
    -#> 612         -99        4    1     162           162          1062          1962
    -#> 613         -99        4    0     163           163          1063          1963
    -#> 614         -99        4    0     164           164          1064          1964
    -#> 615         -99        4    1     165           165          1065          1965
    -#> 616         -99        4    1     166           166          1066          1966
    -#> 617         -99        4    0     167           167          1067          1967
    -#> 618         -99        4    0     168           168          1068          1968
    -#> 619         -99        4    0     169           169          1069          1969
    -#> 620         -99        4    0     170           170          1070          1970
    -#> 621         -99        4    0     171           171          1071          1971
    -#> 622         -99        4    1     172           172          1072          1972
    -#> 623         -99        4    0     173           173          1073          1973
    -#> 624         -99        4    0     174           174          1074          1974
    -#> 625         -99        4    0     175           175          1075          1975
    -#> 626         -99        4    0     176           176          1076          1976
    -#> 627         -99        4    0     177           177          1077          1977
    -#> 628         -99        4    1     178           178          1078          1978
    -#> 629         -99        4    0     179           179          1079          1979
    -#> 630         -99        4    0     180           180          1080          1980
    -#> 721         -99        4    0     181           181          1081          1981
    -#> 722         -99        4    1     182           182          1082          1982
    -#> 723         -99        4    0     183           183          1083          1983
    -#> 724         -99        4    1     184           184          1084          1984
    -#> 725         -99        4    1     185           185          1085          1985
    -#> 726         -99        4    0     186           186          1086          1986
    -#> 727         -99        4    0     187           187          1087          1987
    -#> 728         -99        4    0     188           188          1088          1988
    -#> 729         -99        4    0     189           189          1089          1989
    -#> 730         -99        4    0     190           190          1090          1990
    -#> 731         -99        4    0     191           191          1091          1991
    -#> 732         -99        4    0     192           192          1092          1992
    -#> 733         -99        4    0     193           193          1093          1993
    -#> 734         -99        4    0     194           194          1094          1994
    -#> 735         -99        4    0     195           195          1095          1995
    -#> 736         -99        4    0     196           196          1096          1996
    -#> 737         -99        4    0     197           197          1097          1997
    -#> 738         -99        4    1     198           198          1098          1998
    -#> 739         -99        4    0     199           199          1099          1999
    -#> 740         -99        4    0     200           200          1100          2000
    -#> 741         -99        4    1     201           201          1101          2001
    -#> 742         -99        4    0     202           202          1102          2002
    -#> 743         -99        4    1     203           203          1103          2003
    -#> 744         -99        4    0     204           204          1104          2004
    -#> 745         -99        4    0     205           205          1105          2005
    -#> 746         -99        4    0     206           206          1106          2006
    -#> 747         -99        4    1     207           207          1107          2007
    -#> 748         -99        4    0     208           208          1108          2008
    -#> 749         -99        4    0     209           209          1109          2009
    -#> 750         -99        4    0     210           210          1110          2010
    -#> 841         -99        4    1     211           211          1111          2011
    -#> 842         -99        4    0     212           212          1112          2012
    -#> 843         -99        4    0     213           213          1113          2013
    -#> 844         -99        4    0     214           214          1114          2014
    -#> 845         -99        4    0     215           215          1115          2015
    -#> 846         -99        4    0     216           216          1116          2016
    -#> 847         -99        4    0     217           217          1117          2017
    -#> 848         -99        4    0     218           218          1118          2018
    -#> 849         -99        4    0     219           219          1119          2019
    -#> 850         -99        4    1     220           220          1120          2020
    -#> 851         -99        4    0     221           221          1121          2021
    -#> 852         -99        4    1     222           222          1122          2022
    -#> 853         -99        4    0     223           223          1123          2023
    -#> 854         -99        4    0     224           224          1124          2024
    -#> 855         -99        4    0     225           225          1125          2025
    -#> 856         -99        4    0     226           226          1126          2026
    -#> 857         -99        4    0     227           227          1127          2027
    -#> 858         -99        4    0     228           228          1128          2028
    -#> 859         -99        4    1     229           229          1129          2029
    -#> 860         -99        4    0     230           230          1130          2030
    -#> 861         -99        4    0     231           231          1131          2031
    -#> 862         -99        4    0     232           232          1132          2032
    -#> 863         -99        4    0     233           233          1133          2033
    -#> 864         -99        4    1     234           234          1134          2034
    -#> 865         -99        4    0     235           235          1135          2035
    -#> 866         -99        4    0     236           236          1136          2036
    -#> 867         -99        4    0     237           237          1137          2037
    -#> 868         -99        4    0     238           238          1138          2038
    -#> 869         -99        4    0     239           239          1139          2039
    -#> 870         -99        4    0     240           240          1140          2040
    -#> 961         -99        4    1     241           241          1141          2041
    -#> 962         -99        4    1     242           242          1142          2042
    -#> 963         -99        4    0     243           243          1143          2043
    -#> 964         -99        4    1     244           244          1144          2044
    -#> 965         -99        4    1     245           245          1145          2045
    -#> 966         -99        4    1     246           246          1146          2046
    -#> 967         -99        4    0     247           247          1147          2047
    -#> 968         -99        4    0     248           248          1148          2048
    -#> 969         -99        4    1     249           249          1149          2049
    -#> 970         -99        4    0     250           250          1150          2050
    -#> 971         -99        4    0     251           251          1151          2051
    -#> 972         -99        4    1     252           252          1152          2052
    -#> 973         -99        4    1     253           253          1153          2053
    -#> 974         -99        4    1     254           254          1154          2054
    -#> 975         -99        4    1     255           255          1155          2055
    -#> 976         -99        4    0     256           256          1156          2056
    -#> 977         -99        4    0     257           257          1157          2057
    -#> 978         -99        4    0     258           258          1158          2058
    -#> 979         -99        4    0     259           259          1159          2059
    -#> 980         -99        4    0     260           260          1160          2060
    -#> 981         -99        4    0     261           261          1161          2061
    -#> 982         -99        4    0     262           262          1162          2062
    -#> 983         -99        4    1     263           263          1163          2063
    -#> 984         -99        4    0     264           264          1164          2064
    -#> 985         -99        4    0     265           265          1165          2065
    -#> 986         -99        4    0     266           266          1166          2066
    -#> 987         -99        4    0     267           267          1167          2067
    -#> 988         -99        4    0     268           268          1168          2068
    -#> 989         -99        4    0     269           269          1169          2069
    -#> 990         -99        4    1     270           270          1170          2070
    -#> 1081        -99        4    0     271           271          1171          2071
    -#> 1082        -99        4    0     272           272          1172          2072
    -#> 1083        -99        4    1     273           273          1173          2073
    -#> 1084        -99        4    0     274           274          1174          2074
    -#> 1085        -99        4    0     275           275          1175          2075
    -#> 1086        -99        4    1     276           276          1176          2076
    -#> 1087        -99        4    1     277           277          1177          2077
    -#> 1088        -99        4    0     278           278          1178          2078
    -#> 1089        -99        4    0     279           279          1179          2079
    -#> 1090        -99        4    0     280           280          1180          2080
    -#> 1091        -99        4    0     281           281          1181          2081
    -#> 1092        -99        4    0     282           282          1182          2082
    -#> 1093        -99        4    0     283           283          1183          2083
    -#> 1094        -99        4    1     284           284          1184          2084
    -#> 1095        -99        4    1     285           285          1185          2085
    -#> 1096        -99        4    0     286           286          1186          2086
    -#> 1097        -99        4    1     287           287          1187          2087
    -#> 1098        -99        4    0     288           288          1188          2088
    -#> 1099        -99        4    1     289           289          1189          2089
    -#> 1100        -99        4    0     290           290          1190          2090
    -#> 1101        -99        4    1     291           291          1191          2091
    -#> 1102        -99        4    1     292           292          1192          2092
    -#> 1103        -99        4    0     293           293          1193          2093
    -#> 1104        -99        4    1     294           294          1194          2094
    -#> 1105        -99        4    0     295           295          1195          2095
    -#> 1106        -99        4    0     296           296          1196          2096
    -#> 1107        -99        4    1     297           297          1197          2097
    -#> 1108        -99        4    0     298           298          1198          2098
    -#> 1109        -99        4    0     299           299          1199          2099
    -#> 1110        -99        4    0     300           300          1200          2100
    -#> 1201        -99        4    1     301           301          1201          2101
    -#> 1202        -99        4    1     302           302          1202          2102
    -#> 1203        -99        4    1     303           303          1203          2103
    -#> 1204        -99        4    1     304           304          1204          2104
    -#> 1205        -99        4    0     305           305          1205          2105
    -#> 1206        -99        4    0     306           306          1206          2106
    -#> 1207        -99        4    1     307           307          1207          2107
    -#> 1208        -99        4    0     308           308          1208          2108
    -#> 1209        -99        4    0     309           309          1209          2109
    -#> 1210        -99        4    1     310           310          1210          2110
    -#> 1211        -99        4    0     311           311          1211          2111
    -#> 1212        -99        4    0     312           312          1212          2112
    -#> 1213        -99        4    1     313           313          1213          2113
    -#> 1214        -99        4    1     314           314          1214          2114
    -#> 1215        -99        4    1     315           315          1215          2115
    -#> 1216        -99        4    1     316           316          1216          2116
    -#> 1217        -99        4    0     317           317          1217          2117
    -#> 1218        -99        4    1     318           318          1218          2118
    -#> 1219        -99        4    1     319           319          1219          2119
    -#> 1220        -99        4    1     320           320          1220          2120
    -#> 1221        -99        4    1     321           321          1221          2121
    -#> 1222        -99        4    1     322           322          1222          2122
    -#> 1223        -99        4    1     323           323          1223          2123
    -#> 1224        -99        4    1     324           324          1224          2124
    -#> 1225        -99        4    1     325           325          1225          2125
    -#> 1226        -99        4    1     326           326          1226          2126
    -#> 1227        -99        4    1     327           327          1227          2127
    -#> 1228        -99        4    0     328           328          1228          2128
    -#> 1229        -99        4    1     329           329          1229          2129
    -#> 1230        -99        4    1     330           330          1230          2130
    -#> 1321        -99        4    0     331           331          1231          2131
    -#> 1322        -99        4    1     332           332          1232          2132
    -#> 1323        -99        4    0     333           333          1233          2133
    -#> 1324        -99        4    0     334           334          1234          2134
    -#> 1325        -99        4    1     335           335          1235          2135
    -#> 1326        -99        4    0     336           336          1236          2136
    -#> 1327        -99        4    0     337           337          1237          2137
    -#> 1328        -99        4    0     338           338          1238          2138
    -#> 1329        -99        4    0     339           339          1239          2139
    -#> 1330        -99        4    1     340           340          1240          2140
    -#> 1331        -99        4    0     341           341          1241          2141
    -#> 1332        -99        4    1     342           342          1242          2142
    -#> 1333        -99        4    0     343           343          1243          2143
    -#> 1334        -99        4    1     344           344          1244          2144
    -#> 1335        -99        4    0     345           345          1245          2145
    -#> 1336        -99        4    1     346           346          1246          2146
    -#> 1337        -99        4    0     347           347          1247          2147
    -#> 1338        -99        4    1     348           348          1248          2148
    -#> 1339        -99        4    1     349           349          1249          2149
    -#> 1340        -99        4    0     350           350          1250          2150
    -#> 1341        -99        4    1     351           351          1251          2151
    -#> 1342        -99        4    0     352           352          1252          2152
    -#> 1343        -99        4    1     353           353          1253          2153
    -#> 1344        -99        4    0     354           354          1254          2154
    -#> 1345        -99        4    1     355           355          1255          2155
    -#> 1346        -99        4    1     356           356          1256          2156
    -#> 1347        -99        4    0     357           357          1257          2157
    -#> 1348        -99        4    1     358           358          1258          2158
    -#> 1349        -99        4    0     359           359          1259          2159
    -#> 1350        -99        4    0     360           360          1260          2160
    -#> 1441        -99        4    1     361           361          1261          2161
    -#> 1442        -99        4    0     362           362          1262          2162
    -#> 1443        -99        4    1     363           363          1263          2163
    -#> 1444        -99        4    0     364           364          1264          2164
    -#> 1445        -99        4    1     365           365          1265          2165
    -#> 1446        -99        4    1     366           366          1266          2166
    -#> 1447        -99        4    1     367           367          1267          2167
    -#> 1448        -99        4    1     368           368          1268          2168
    -#> 1449        -99        4    1     369           369          1269          2169
    -#> 1450        -99        4    1     370           370          1270          2170
    -#> 1451        -99        4    1     371           371          1271          2171
    -#> 1452        -99        4    1     372           372          1272          2172
    -#> 1453        -99        4    1     373           373          1273          2173
    -#> 1454        -99        4    1     374           374          1274          2174
    -#> 1455        -99        4    1     375           375          1275          2175
    -#> 1456        -99        4    1     376           376          1276          2176
    -#> 1457        -99        4    1     377           377          1277          2177
    -#> 1458        -99        4    0     378           378          1278          2178
    -#> 1459        -99        4    1     379           379          1279          2179
    -#> 1460        -99        4    1     380           380          1280          2180
    -#> 1461        -99        4    1     381           381          1281          2181
    -#> 1462        -99        4    0     382           382          1282          2182
    -#> 1463        -99        4    1     383           383          1283          2183
    -#> 1464        -99        4    1     384           384          1284          2184
    -#> 1465        -99        4    0     385           385          1285          2185
    -#> 1466        -99        4    1     386           386          1286          2186
    -#> 1467        -99        4    0     387           387          1287          2187
    -#> 1468        -99        4    0     388           388          1288          2188
    -#> 1469        -99        4    1     389           389          1289          2189
    -#> 1470        -99        4    0     390           390          1290          2190
    -#> 1561        -99        4    0     391           391          1291          2191
    -#> 1562        -99        4    1     392           392          1292          2192
    -#> 1563        -99        4    0     393           393          1293          2193
    -#> 1564        -99        4    0     394           394          1294          2194
    -#> 1565        -99        4    0     395           395          1295          2195
    -#> 1566        -99        4    0     396           396          1296          2196
    -#> 1567        -99        4    0     397           397          1297          2197
    -#> 1568        -99        4    0     398           398          1298          2198
    -#> 1569        -99        4    0     399           399          1299          2199
    -#> 1570        -99        4    0     400           400          1300          2200
    -#> 1571        -99        4    0     401           401          1301          2201
    -#> 1572        -99        4    0     402           402          1302          2202
    -#> 1573        -99        4    0     403           403          1303          2203
    -#> 1574        -99        4    0     404           404          1304          2204
    -#> 1575        -99        4    0     405           405          1305          2205
    -#> 1576        -99        4    0     406           406          1306          2206
    -#> 1577        -99        4    0     407           407          1307          2207
    -#> 1578        -99        4    1     408           408          1308          2208
    -#> 1579        -99        4    0     409           409          1309          2209
    -#> 1580        -99        4    0     410           410          1310          2210
    -#> 1581        -99        4    0     411           411          1311          2211
    -#> 1582        -99        4    0     412           412          1312          2212
    -#> 1583        -99        4    1     413           413          1313          2213
    -#> 1584        -99        4    0     414           414          1314          2214
    -#> 1585        -99        4    0     415           415          1315          2215
    -#> 1586        -99        4    0     416           416          1316          2216
    -#> 1587        -99        4    0     417           417          1317          2217
    -#> 1588        -99        4    0     418           418          1318          2218
    -#> 1589        -99        4    0     419           419          1319          2219
    -#> 1590        -99        4    0     420           420          1320          2220
    -#> 1681        -99        4    0     421           421          1321          2221
    -#> 1682        -99        4    0     422           422          1322          2222
    -#> 1683        -99        4    0     423           423          1323          2223
    -#> 1684        -99        4    1     424           424          1324          2224
    -#> 1685        -99        4    0     425           425          1325          2225
    -#> 1686        -99        4    0     426           426          1326          2226
    -#> 1687        -99        4    0     427           427          1327          2227
    -#> 1688        -99        4    0     428           428          1328          2228
    -#> 1689        -99        4    0     429           429          1329          2229
    -#> 1690        -99        4    0     430           430          1330          2230
    -#> 1691        -99        4    0     431           431          1331          2231
    -#> 1692        -99        4    1     432           432          1332          2232
    -#> 1693        -99        4    0     433           433          1333          2233
    -#> 1694        -99        4    1     434           434          1334          2234
    -#> 1695        -99        4    0     435           435          1335          2235
    -#> 1696        -99        4    0     436           436          1336          2236
    -#> 1697        -99        4    0     437           437          1337          2237
    -#> 1698        -99        4    0     438           438          1338          2238
    -#> 1699        -99        4    0     439           439          1339          2239
    -#> 1700        -99        4    0     440           440          1340          2240
    -#> 1701        -99        4    0     441           441          1341          2241
    -#> 1702        -99        4    0     442           442          1342          2242
    -#> 1703        -99        4    0     443           443          1343          2243
    -#> 1704        -99        4    0     444           444          1344          2244
    -#> 1705        -99        4    0     445           445          1345          2245
    -#> 1706        -99        4    0     446           446          1346          2246
    -#> 1707        -99        4    0     447           447          1347          2247
    -#> 1708        -99        4    0     448           448          1348          2248
    -#> 1709        -99        4    0     449           449          1349          2249
    -#> 1710        -99        4    0     450           450          1350          2250
    -#> 1801        -99        4    0     451           451          1351          2251
    -#> 1802        -99        4    1     452           452          1352          2252
    -#> 1803        -99        4    1     453           453          1353          2253
    -#> 1804        -99        4    1     454           454          1354          2254
    -#> 1805        -99        4    1     455           455          1355          2255
    -#> 1806        -99        4    1     456           456          1356          2256
    -#> 1807        -99        4    1     457           457          1357          2257
    -#> 1808        -99        4    0     458           458          1358          2258
    -#> 1809        -99        4    0     459           459          1359          2259
    -#> 1810        -99        4    1     460           460          1360          2260
    -#> 1811        -99        4    1     461           461          1361          2261
    -#> 1812        -99        4    1     462           462          1362          2262
    -#> 1813        -99        4    1     463           463          1363          2263
    -#> 1814        -99        4    1     464           464          1364          2264
    -#> 1815        -99        4    1     465           465          1365          2265
    -#> 1816        -99        4    1     466           466          1366          2266
    -#> 1817        -99        4    1     467           467          1367          2267
    -#> 1818        -99        4    1     468           468          1368          2268
    -#> 1819        -99        4    1     469           469          1369          2269
    -#> 1820        -99        4    1     470           470          1370          2270
    -#> 1821        -99        4    1     471           471          1371          2271
    -#> 1822        -99        4    1     472           472          1372          2272
    -#> 1823        -99        4    1     473           473          1373          2273
    -#> 1824        -99        4    1     474           474          1374          2274
    -#> 1825        -99        4    1     475           475          1375          2275
    -#> 1826        -99        4    1     476           476          1376          2276
    -#> 1827        -99        4    0     477           477          1377          2277
    -#> 1828        -99        4    1     478           478          1378          2278
    -#> 1829        -99        4    1     479           479          1379          2279
    -#> 1830        -99        4    1     480           480          1380          2280
    -#> 1921        -99        4    1     481           481          1381          2281
    -#> 1922        -99        4    1     482           482          1382          2282
    -#> 1923        -99        4    0     483           483          1383          2283
    -#> 1924        -99        4    0     484           484          1384          2284
    -#> 1925        -99        4    1     485           485          1385          2285
    -#> 1926        -99        4    1     486           486          1386          2286
    -#> 1927        -99        4    1     487           487          1387          2287
    -#> 1928        -99        4    0     488           488          1388          2288
    -#> 1929        -99        4    0     489           489          1389          2289
    -#> 1930        -99        4    1     490           490          1390          2290
    -#> 1931        -99        4    1     491           491          1391          2291
    -#> 1932        -99        4    1     492           492          1392          2292
    -#> 1933        -99        4    1     493           493          1393          2293
    -#> 1934        -99        4    0     494           494          1394          2294
    -#> 1935        -99        4    0     495           495          1395          2295
    -#> 1936        -99        4    1     496           496          1396          2296
    -#> 1937        -99        4    0     497           497          1397          2297
    -#> 1938        -99        4    1     498           498          1398          2298
    -#> 1939        -99        4    1     499           499          1399          2299
    -#> 1940        -99        4    0     500           500          1400          2300
    -#> 1941        -99        4    1     501           501          1401          2301
    -#> 1942        -99        4    1     502           502          1402          2302
    -#> 1943        -99        4    0     503           503          1403          2303
    -#> 1944        -99        4    0     504           504          1404          2304
    -#> 1945        -99        4    1     505           505          1405          2305
    -#> 1946        -99        4    1     506           506          1406          2306
    -#> 1947        -99        4    0     507           507          1407          2307
    -#> 1948        -99        4    0     508           508          1408          2308
    -#> 1949        -99        4    0     509           509          1409          2309
    -#> 1950        -99        4    0     510           510          1410          2310
    -#> 2041        -99        4    0     511           511          1411          2311
    -#> 2042        -99        4    0     512           512          1412          2312
    -#> 2043        -99        4    0     513           513          1413          2313
    -#> 2044        -99        4    0     514           514          1414          2314
    -#> 2045        -99        4    0     515           515          1415          2315
    -#> 2046        -99        4    0     516           516          1416          2316
    -#> 2047        -99        4    1     517           517          1417          2317
    -#> 2048        -99        4    0     518           518          1418          2318
    -#> 2049        -99        4    1     519           519          1419          2319
    -#> 2050        -99        4    0     520           520          1420          2320
    -#> 2051        -99        4    0     521           521          1421          2321
    -#> 2052        -99        4    0     522           522          1422          2322
    -#> 2053        -99        4    0     523           523          1423          2323
    -#> 2054        -99        4    0     524           524          1424          2324
    -#> 2055        -99        4    0     525           525          1425          2325
    -#> 2056        -99        4    0     526           526          1426          2326
    -#> 2057        -99        4    0     527           527          1427          2327
    -#> 2058        -99        4    0     528           528          1428          2328
    -#> 2059        -99        4    0     529           529          1429          2329
    -#> 2060        -99        4    0     530           530          1430          2330
    -#> 2061        -99        4    0     531           531          1431          2331
    -#> 2062        -99        4    0     532           532          1432          2332
    -#> 2063        -99        4    0     533           533          1433          2333
    -#> 2064        -99        4    0     534           534          1434          2334
    -#> 2065        -99        4    0     535           535          1435          2335
    -#> 2066        -99        4    0     536           536          1436          2336
    -#> 2067        -99        4    0     537           537          1437          2337
    -#> 2068        -99        4    0     538           538          1438          2338
    -#> 2069        -99        4    0     539           539          1439          2339
    -#> 2070        -99        4    0     540           540          1440          2340
    -#> 2161        -99        4    0     541           541          1441          2341
    -#> 2162        -99        4    1     542           542          1442          2342
    -#> 2163        -99        4    1     543           543          1443          2343
    -#> 2164        -99        4    1     544           544          1444          2344
    -#> 2165        -99        4    0     545           545          1445          2345
    -#> 2166        -99        4    0     546           546          1446          2346
    -#> 2167        -99        4    0     547           547          1447          2347
    -#> 2168        -99        4    0     548           548          1448          2348
    -#> 2169        -99        4    0     549           549          1449          2349
    -#> 2170        -99        4    1     550           550          1450          2350
    -#> 2171        -99        4    1     551           551          1451          2351
    -#> 2172        -99        4    1     552           552          1452          2352
    -#> 2173        -99        4    0     553           553          1453          2353
    -#> 2174        -99        4    1     554           554          1454          2354
    -#> 2175        -99        4    0     555           555          1455          2355
    -#> 2176        -99        4    0     556           556          1456          2356
    -#> 2177        -99        4    0     557           557          1457          2357
    -#> 2178        -99        4    1     558           558          1458          2358
    -#> 2179        -99        4    0     559           559          1459          2359
    -#> 2180        -99        4    0     560           560          1460          2360
    -#> 2181        -99        4    0     561           561          1461          2361
    -#> 2182        -99        4    1     562           562          1462          2362
    -#> 2183        -99        4    0     563           563          1463          2363
    -#> 2184        -99        4    0     564           564          1464          2364
    -#> 2185        -99        4    0     565           565          1465          2365
    -#> 2186        -99        4    1     566           566          1466          2366
    -#> 2187        -99        4    0     567           567          1467          2367
    -#> 2188        -99        4    0     568           568          1468          2368
    -#> 2189        -99        4    0     569           569          1469          2369
    -#> 2190        -99        4    0     570           570          1470          2370
    -#> 2281        -99        4    1     571           571          1471          2371
    -#> 2282        -99        4    0     572           572          1472          2372
    -#> 2283        -99        4    0     573           573          1473          2373
    -#> 2284        -99        4    1     574           574          1474          2374
    -#> 2285        -99        4    0     575           575          1475          2375
    -#> 2286        -99        4    0     576           576          1476          2376
    -#> 2287        -99        4    1     577           577          1477          2377
    -#> 2288        -99        4    0     578           578          1478          2378
    -#> 2289        -99        4    1     579           579          1479          2379
    -#> 2290        -99        4    0     580           580          1480          2380
    -#> 2291        -99        4    1     581           581          1481          2381
    -#> 2292        -99        4    0     582           582          1482          2382
    -#> 2293        -99        4    0     583           583          1483          2383
    -#> 2294        -99        4    1     584           584          1484          2384
    -#> 2295        -99        4    1     585           585          1485          2385
    -#> 2296        -99        4    0     586           586          1486          2386
    -#> 2297        -99        4    0     587           587          1487          2387
    -#> 2298        -99        4    1     588           588          1488          2388
    -#> 2299        -99        4    0     589           589          1489          2389
    -#> 2300        -99        4    1     590           590          1490          2390
    -#> 2301        -99        4    0     591           591          1491          2391
    -#> 2302        -99        4    1     592           592          1492          2392
    -#> 2303        -99        4    0     593           593          1493          2393
    -#> 2304        -99        4    0     594           594          1494          2394
    -#> 2305        -99        4    0     595           595          1495          2395
    -#> 2306        -99        4    0     596           596          1496          2396
    -#> 2307        -99        4    0     597           597          1497          2397
    -#> 2308        -99        4    0     598           598          1498          2398
    -#> 2309        -99        4    0     599           599          1499          2399
    -#> 2310        -99        4    0     600           600          1500          2400
    -#> 2401        -99        4    0     601           601          1501          2401
    -#> 2402        -99        4    0     602           602          1502          2402
    -#> 2403        -99        4    0     603           603          1503          2403
    -#> 2404        -99        4    0     604           604          1504          2404
    -#> 2405        -99        4    1     605           605          1505          2405
    -#> 2406        -99        4    1     606           606          1506          2406
    -#> 2407        -99        4    0     607           607          1507          2407
    -#> 2408        -99        4    0     608           608          1508          2408
    -#> 2409        -99        4    0     609           609          1509          2409
    -#> 2410        -99        4    0     610           610          1510          2410
    -#> 2411        -99        4    0     611           611          1511          2411
    -#> 2412        -99        4    0     612           612          1512          2412
    -#> 2413        -99        4    1     613           613          1513          2413
    -#> 2414        -99        4    0     614           614          1514          2414
    -#> 2415        -99        4    0     615           615          1515          2415
    -#> 2416        -99        4    0     616           616          1516          2416
    -#> 2417        -99        4    0     617           617          1517          2417
    -#> 2418        -99        4    0     618           618          1518          2418
    -#> 2419        -99        4    0     619           619          1519          2419
    -#> 2420        -99        4    0     620           620          1520          2420
    -#> 2421        -99        4    0     621           621          1521          2421
    -#> 2422        -99        4    0     622           622          1522          2422
    -#> 2423        -99        4    0     623           623          1523          2423
    -#> 2424        -99        4    1     624           624          1524          2424
    -#> 2425        -99        4    0     625           625          1525          2425
    -#> 2426        -99        4    0     626           626          1526          2426
    -#> 2427        -99        4    0     627           627          1527          2427
    -#> 2428        -99        4    0     628           628          1528          2428
    -#> 2429        -99        4    1     629           629          1529          2429
    -#> 2430        -99        4    0     630           630          1530          2430
    -#> 2521        -99        4    1     631           631          1531          2431
    -#> 2522        -99        4    0     632           632          1532          2432
    -#> 2523        -99        4    0     633           633          1533          2433
    -#> 2524        -99        4    1     634           634          1534          2434
    -#> 2525        -99        4    0     635           635          1535          2435
    -#> 2526        -99        4    1     636           636          1536          2436
    -#> 2527        -99        4    0     637           637          1537          2437
    -#> 2528        -99        4    1     638           638          1538          2438
    -#> 2529        -99        4    0     639           639          1539          2439
    -#> 2530        -99        4    0     640           640          1540          2440
    -#> 2531        -99        4    0     641           641          1541          2441
    -#> 2532        -99        4    0     642           642          1542          2442
    -#> 2533        -99        4    0     643           643          1543          2443
    -#> 2534        -99        4    0     644           644          1544          2444
    -#> 2535        -99        4    1     645           645          1545          2445
    -#> 2536        -99        4    0     646           646          1546          2446
    -#> 2537        -99        4    0     647           647          1547          2447
    -#> 2538        -99        4    1     648           648          1548          2448
    -#> 2539        -99        4    0     649           649          1549          2449
    -#> 2540        -99        4    0     650           650          1550          2450
    -#> 2541        -99        4    1     651           651          1551          2451
    -#> 2542        -99        4    0     652           652          1552          2452
    -#> 2543        -99        4    0     653           653          1553          2453
    -#> 2544        -99        4    0     654           654          1554          2454
    -#> 2545        -99        4    0     655           655          1555          2455
    -#> 2546        -99        4    0     656           656          1556          2456
    -#> 2547        -99        4    0     657           657          1557          2457
    -#> 2548        -99        4    1     658           658          1558          2458
    -#> 2549        -99        4    0     659           659          1559          2459
    -#> 2550        -99        4    0     660           660          1560          2460
    -#> 2641        -99        4    0     661           661          1561          2461
    -#> 2642        -99        4    0     662           662          1562          2462
    -#> 2643        -99        4    0     663           663          1563          2463
    -#> 2644        -99        4    1     664           664          1564          2464
    -#> 2645        -99        4    1     665           665          1565          2465
    -#> 2646        -99        4    0     666           666          1566          2466
    -#> 2647        -99        4    0     667           667          1567          2467
    -#> 2648        -99        4    0     668           668          1568          2468
    -#> 2649        -99        4    0     669           669          1569          2469
    -#> 2650        -99        4    0     670           670          1570          2470
    -#> 2651        -99        4    0     671           671          1571          2471
    -#> 2652        -99        4    0     672           672          1572          2472
    -#> 2653        -99        4    0     673           673          1573          2473
    -#> 2654        -99        4    0     674           674          1574          2474
    -#> 2655        -99        4    0     675           675          1575          2475
    -#> 2656        -99        4    0     676           676          1576          2476
    -#> 2657        -99        4    0     677           677          1577          2477
    -#> 2658        -99        4    0     678           678          1578          2478
    -#> 2659        -99        4    1     679           679          1579          2479
    -#> 2660        -99        4    0     680           680          1580          2480
    -#> 2661        -99        4    0     681           681          1581          2481
    -#> 2662        -99        4    0     682           682          1582          2482
    -#> 2663        -99        4    0     683           683          1583          2483
    -#> 2664        -99        4    0     684           684          1584          2484
    -#> 2665        -99        4    0     685           685          1585          2485
    -#> 2666        -99        4    0     686           686          1586          2486
    -#> 2667        -99        4    1     687           687          1587          2487
    -#> 2668        -99        4    0     688           688          1588          2488
    -#> 2669        -99        4    0     689           689          1589          2489
    -#> 2670        -99        4    1     690           690          1590          2490
    -#> 2761        -99        4    0     691           691          1591          2491
    -#> 2762        -99        4    0     692           692          1592          2492
    -#> 2763        -99        4    0     693           693          1593          2493
    -#> 2764        -99        4    0     694           694          1594          2494
    -#> 2765        -99        4    0     695           695          1595          2495
    -#> 2766        -99        4    0     696           696          1596          2496
    -#> 2767        -99        4    0     697           697          1597          2497
    -#> 2768        -99        4    0     698           698          1598          2498
    -#> 2769        -99        4    0     699           699          1599          2499
    -#> 2770        -99        4    0     700           700          1600          2500
    -#> 2771        -99        4    0     701           701          1601          2501
    -#> 2772        -99        4    0     702           702          1602          2502
    -#> 2773        -99        4    0     703           703          1603          2503
    -#> 2774        -99        4    0     704           704          1604          2504
    -#> 2775        -99        4    0     705           705          1605          2505
    -#> 2776        -99        4    0     706           706          1606          2506
    -#> 2777        -99        4    0     707           707          1607          2507
    -#> 2778        -99        4    1     708           708          1608          2508
    -#> 2779        -99        4    0     709           709          1609          2509
    -#> 2780        -99        4    0     710           710          1610          2510
    -#> 2781        -99        4    0     711           711          1611          2511
    -#> 2782        -99        4    0     712           712          1612          2512
    -#> 2783        -99        4    0     713           713          1613          2513
    -#> 2784        -99        4    0     714           714          1614          2514
    -#> 2785        -99        4    0     715           715          1615          2515
    -#> 2786        -99        4    0     716           716          1616          2516
    -#> 2787        -99        4    0     717           717          1617          2517
    -#> 2788        -99        4    0     718           718          1618          2518
    -#> 2789        -99        4    0     719           719          1619          2519
    -#> 2790        -99        4    0     720           720          1620          2520
    -#> 2881        -99        4    0     721           721          1621          2521
    -#> 2882        -99        4    1     722           722          1622          2522
    -#> 2883        -99        4    1     723           723          1623          2523
    -#> 2884        -99        4    0     724           724          1624          2524
    -#> 2885        -99        4    0     725           725          1625          2525
    -#> 2886        -99        4    0     726           726          1626          2526
    -#> 2887        -99        4    0     727           727          1627          2527
    -#> 2888        -99        4    1     728           728          1628          2528
    -#> 2889        -99        4    0     729           729          1629          2529
    -#> 2890        -99        4    0     730           730          1630          2530
    -#> 2891        -99        4    0     731           731          1631          2531
    -#> 2892        -99        4    0     732           732          1632          2532
    -#> 2893        -99        4    0     733           733          1633          2533
    -#> 2894        -99        4    0     734           734          1634          2534
    -#> 2895        -99        4    0     735           735          1635          2535
    -#> 2896        -99        4    0     736           736          1636          2536
    -#> 2897        -99        4    1     737           737          1637          2537
    -#> 2898        -99        4    0     738           738          1638          2538
    -#> 2899        -99        4    0     739           739          1639          2539
    -#> 2900        -99        4    1     740           740          1640          2540
    -#> 2901        -99        4    0     741           741          1641          2541
    -#> 2902        -99        4    0     742           742          1642          2542
    -#> 2903        -99        4    0     743           743          1643          2543
    -#> 2904        -99        4    1     744           744          1644          2544
    -#> 2905        -99        4    0     745           745          1645          2545
    -#> 2906        -99        4    0     746           746          1646          2546
    -#> 2907        -99        4    0     747           747          1647          2547
    -#> 2908        -99        4    0     748           748          1648          2548
    -#> 2909        -99        4    0     749           749          1649          2549
    -#> 2910        -99        4    0     750           750          1650          2550
    -#> 3001        -99        4    1     751           751          1651          2551
    -#> 3002        -99        4    0     752           752          1652          2552
    -#> 3003        -99        4    0     753           753          1653          2553
    -#> 3004        -99        4    0     754           754          1654          2554
    -#> 3005        -99        4    0     755           755          1655          2555
    -#> 3006        -99        4    0     756           756          1656          2556
    -#> 3007        -99        4    0     757           757          1657          2557
    -#> 3008        -99        4    0     758           758          1658          2558
    -#> 3009        -99        4    0     759           759          1659          2559
    -#> 3010        -99        4    0     760           760          1660          2560
    -#> 3011        -99        4    0     761           761          1661          2561
    -#> 3012        -99        4    0     762           762          1662          2562
    -#> 3013        -99        4    0     763           763          1663          2563
    -#> 3014        -99        4    0     764           764          1664          2564
    -#> 3015        -99        4    0     765           765          1665          2565
    -#> 3016        -99        4    0     766           766          1666          2566
    -#> 3017        -99        4    0     767           767          1667          2567
    -#> 3018        -99        4    0     768           768          1668          2568
    -#> 3019        -99        4    0     769           769          1669          2569
    -#> 3020        -99        4    0     770           770          1670          2570
    -#> 3021        -99        4    0     771           771          1671          2571
    -#> 3022        -99        4    0     772           772          1672          2572
    -#> 3023        -99        4    0     773           773          1673          2573
    -#> 3024        -99        4    0     774           774          1674          2574
    -#> 3025        -99        4    0     775           775          1675          2575
    -#> 3026        -99        4    0     776           776          1676          2576
    -#> 3027        -99        4    1     777           777          1677          2577
    -#> 3028        -99        4    0     778           778          1678          2578
    -#> 3029        -99        4    0     779           779          1679          2579
    -#> 3030        -99        4    0     780           780          1680          2580
    -#> 3121        -99        4    1     781           781          1681          2581
    -#> 3122        -99        4    1     782           782          1682          2582
    -#> 3123        -99        4    1     783           783          1683          2583
    -#> 3124        -99        4    0     784           784          1684          2584
    -#> 3125        -99        4    1     785           785          1685          2585
    -#> 3126        -99        4    1     786           786          1686          2586
    -#> 3127        -99        4    1     787           787          1687          2587
    -#> 3128        -99        4    1     788           788          1688          2588
    -#> 3129        -99        4    1     789           789          1689          2589
    -#> 3130        -99        4    0     790           790          1690          2590
    -#> 3131        -99        4    1     791           791          1691          2591
    -#> 3132        -99        4    0     792           792          1692          2592
    -#> 3133        -99        4    0     793           793          1693          2593
    -#> 3134        -99        4    1     794           794          1694          2594
    -#> 3135        -99        4    1     795           795          1695          2595
    -#> 3136        -99        4    0     796           796          1696          2596
    -#> 3137        -99        4    1     797           797          1697          2597
    -#> 3138        -99        4    0     798           798          1698          2598
    -#> 3139        -99        4    1     799           799          1699          2599
    -#> 3140        -99        4    1     800           800          1700          2600
    -#> 3141        -99        4    0     801           801          1701          2601
    -#> 3142        -99        4    1     802           802          1702          2602
    -#> 3143        -99        4    0     803           803          1703          2603
    -#> 3144        -99        4    1     804           804          1704          2604
    -#> 3145        -99        4    1     805           805          1705          2605
    -#> 3146        -99        4    1     806           806          1706          2606
    -#> 3147        -99        4    1     807           807          1707          2607
    -#> 3148        -99        4    0     808           808          1708          2608
    -#> 3149        -99        4    0     809           809          1709          2609
    -#> 3150        -99        4    1     810           810          1710          2610
    -#> 3241        -99        4    0     811           811          1711          2611
    -#> 3242        -99        4    1     812           812          1712          2612
    -#> 3243        -99        4    1     813           813          1713          2613
    -#> 3244        -99        4    0     814           814          1714          2614
    -#> 3245        -99        4    1     815           815          1715          2615
    -#> 3246        -99        4    0     816           816          1716          2616
    -#> 3247        -99        4    1     817           817          1717          2617
    -#> 3248        -99        4    0     818           818          1718          2618
    -#> 3249        -99        4    1     819           819          1719          2619
    -#> 3250        -99        4    0     820           820          1720          2620
    -#> 3251        -99        4    0     821           821          1721          2621
    -#> 3252        -99        4    0     822           822          1722          2622
    -#> 3253        -99        4    0     823           823          1723          2623
    -#> 3254        -99        4    1     824           824          1724          2624
    -#> 3255        -99        4    1     825           825          1725          2625
    -#> 3256        -99        4    0     826           826          1726          2626
    -#> 3257        -99        4    0     827           827          1727          2627
    -#> 3258        -99        4    1     828           828          1728          2628
    -#> 3259        -99        4    0     829           829          1729          2629
    -#> 3260        -99        4    0     830           830          1730          2630
    -#> 3261        -99        4    0     831           831          1731          2631
    -#> 3262        -99        4    1     832           832          1732          2632
    -#> 3263        -99        4    0     833           833          1733          2633
    -#> 3264        -99        4    0     834           834          1734          2634
    -#> 3265        -99        4    0     835           835          1735          2635
    -#> 3266        -99        4    0     836           836          1736          2636
    -#> 3267        -99        4    0     837           837          1737          2637
    -#> 3268        -99        4    0     838           838          1738          2638
    -#> 3269        -99        4    0     839           839          1739          2639
    -#> 3270        -99        4    0     840           840          1740          2640
    -#> 3361        -99        4    0     841           841          1741          2641
    -#> 3362        -99        4    0     842           842          1742          2642
    -#> 3363        -99        4    0     843           843          1743          2643
    -#> 3364        -99        4    0     844           844          1744          2644
    -#> 3365        -99        4    0     845           845          1745          2645
    -#> 3366        -99        4    0     846           846          1746          2646
    -#> 3367        -99        4    0     847           847          1747          2647
    -#> 3368        -99        4    0     848           848          1748          2648
    -#> 3369        -99        4    0     849           849          1749          2649
    -#> 3370        -99        4    0     850           850          1750          2650
    -#> 3371        -99        4    0     851           851          1751          2651
    -#> 3372        -99        4    0     852           852          1752          2652
    -#> 3373        -99        4    1     853           853          1753          2653
    -#> 3374        -99        4    0     854           854          1754          2654
    -#> 3375        -99        4    0     855           855          1755          2655
    -#> 3376        -99        4    0     856           856          1756          2656
    -#> 3377        -99        4    0     857           857          1757          2657
    -#> 3378        -99        4    0     858           858          1758          2658
    -#> 3379        -99        4    1     859           859          1759          2659
    -#> 3380        -99        4    0     860           860          1760          2660
    -#> 3381        -99        4    0     861           861          1761          2661
    -#> 3382        -99        4    0     862           862          1762          2662
    -#> 3383        -99        4    0     863           863          1763          2663
    -#> 3384        -99        4    0     864           864          1764          2664
    -#> 3385        -99        4    0     865           865          1765          2665
    -#> 3386        -99        4    0     866           866          1766          2666
    -#> 3387        -99        4    0     867           867          1767          2667
    -#> 3388        -99        4    1     868           868          1768          2668
    -#> 3389        -99        4    1     869           869          1769          2669
    -#> 3390        -99        4    0     870           870          1770          2670
    -#> 3481        -99        4    1     871           871          1771          2671
    -#> 3482        -99        4    1     872           872          1772          2672
    -#> 3483        -99        4    0     873           873          1773          2673
    -#> 3484        -99        4    1     874           874          1774          2674
    -#> 3485        -99        4    1     875           875          1775          2675
    -#> 3486        -99        4    1     876           876          1776          2676
    -#> 3487        -99        4    1     877           877          1777          2677
    -#> 3488        -99        4    1     878           878          1778          2678
    -#> 3489        -99        4    1     879           879          1779          2679
    -#> 3490        -99        4    0     880           880          1780          2680
    -#> 3491        -99        4    1     881           881          1781          2681
    -#> 3492        -99        4    1     882           882          1782          2682
    -#> 3493        -99        4    1     883           883          1783          2683
    -#> 3494        -99        4    1     884           884          1784          2684
    -#> 3495        -99        4    1     885           885          1785          2685
    -#> 3496        -99        4    0     886           886          1786          2686
    -#> 3497        -99        4    1     887           887          1787          2687
    -#> 3498        -99        4    0     888           888          1788          2688
    -#> 3499        -99        4    1     889           889          1789          2689
    -#> 3500        -99        4    0     890           890          1790          2690
    -#> 3501        -99        4    1     891           891          1791          2691
    -#> 3502        -99        4    0     892           892          1792          2692
    -#> 3503        -99        4    1     893           893          1793          2693
    -#> 3504        -99        4    0     894           894          1794          2694
    -#> 3505        -99        4    1     895           895          1795          2695
    -#> 3506        -99        4    1     896           896          1796          2696
    -#> 3507        -99        4    1     897           897          1797          2697
    -#> 3508        -99        4    0     898           898          1798          2698
    -#> 3509        -99        4    1     899           899          1799          2699
    -#> 3510        -99        4    1     900           900          1800          2700
    -#> 110         900      -99  -99       1           -99           -99           -99
    -#> 210         -99      -99  -99       2           -99           -99           -99
    -#> 31          -99      -99  -99       3           -99           -99           -99
    -#> 41          -99      -99  -99       4           -99           -99           -99
    -#> 51          -99      -99  -99       5           -99           -99           -99
    -#> 61          -99      -99  -99       6           -99           -99           -99
    -#> 71          -99      -99  -99       7           -99           -99           -99
    -#> 81          -99      -99  -99       8           -99           -99           -99
    -#> 91          -99      -99  -99       9           -99           -99           -99
    -#> 101         -99      -99  -99      10           -99           -99           -99
    -#> 111         -99      -99  -99      11           -99           -99           -99
    -#> 1231        -99      -99  -99      12           -99           -99           -99
    -#> 1310        -99      -99  -99      13           -99           -99           -99
    -#> 1410        -99      -99  -99      14           -99           -99           -99
    -#> 151         -99      -99  -99      15           -99           -99           -99
    -#> 161         -99      -99  -99      16           -99           -99           -99
    -#> 171         -99      -99  -99      17           -99           -99           -99
    -#> 181         -99      -99  -99      18           -99           -99           -99
    -#> 191         -99      -99  -99      19           -99           -99           -99
    -#> 201         -99      -99  -99      20           -99           -99           -99
    -#> 211         -99      -99  -99      21           -99           -99           -99
    -#> 221         -99      -99  -99      22           -99           -99           -99
    -#> 231         -99      -99  -99      23           -99           -99           -99
    -#> 2431        -99      -99  -99      24           -99           -99           -99
    -#> 2510        -99      -99  -99      25           -99           -99           -99
    -#> 2610        -99      -99  -99      26           -99           -99           -99
    -#> 271         -99      -99  -99      27           -99           -99           -99
    -#> 281         -99      -99  -99      28           -99           -99           -99
    -#> 291         -99      -99  -99      29           -99           -99           -99
    -#> 301         -99      -99  -99      30           -99           -99           -99
    -#> 12110       -99      -99  -99      31           -99           -99           -99
    -#> 12210       -99      -99  -99      32           -99           -99           -99
    -#> 1232        -99      -99  -99      33           -99           -99           -99
    -#> 1241        -99      -99  -99      34           -99           -99           -99
    -#> 1251        -99      -99  -99      35           -99           -99           -99
    -#> 1261        -99      -99  -99      36           -99           -99           -99
    -#> 1271        -99      -99  -99      37           -99           -99           -99
    -#> 1281        -99      -99  -99      38           -99           -99           -99
    -#> 1291        -99      -99  -99      39           -99           -99           -99
    -#> 1301        -99      -99  -99      40           -99           -99           -99
    -#> 1311        -99      -99  -99      41           -99           -99           -99
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    -#> 1351        -99      -99  -99      45           -99           -99           -99
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    -#> 1381        -99      -99  -99      48           -99           -99           -99
    -#> 1391        -99      -99  -99      49           -99           -99           -99
    -#> 1401        -99      -99  -99      50           -99           -99           -99
    -#> 1411        -99      -99  -99      51           -99           -99           -99
    -#> 1421        -99      -99  -99      52           -99           -99           -99
    -#> 1431        -99      -99  -99      53           -99           -99           -99
    -#> 14410       -99      -99  -99      54           -99           -99           -99
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    -#> 1471        -99      -99  -99      57           -99           -99           -99
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    -#> 1491        -99      -99  -99      59           -99           -99           -99
    -#> 1501        -99      -99  -99      60           -99           -99           -99
    -#> 24110       -99      -99  -99      61           -99           -99           -99
    -#> 24210       -99      -99  -99      62           -99           -99           -99
    -#> 2432        -99      -99  -99      63           -99           -99           -99
    -#> 2441        -99      -99  -99      64           -99           -99           -99
    -#> 2451        -99      -99  -99      65           -99           -99           -99
    -#> 2461        -99      -99  -99      66           -99           -99           -99
    -#> 2471        -99      -99  -99      67           -99           -99           -99
    -#> 2481        -99      -99  -99      68           -99           -99           -99
    -#> 2491        -99      -99  -99      69           -99           -99           -99
    -#> 2501        -99      -99  -99      70           -99           -99           -99
    -#> 2511        -99      -99  -99      71           -99           -99           -99
    -#> 25210       -99      -99  -99      72           -99           -99           -99
    -#> 25310       -99      -99  -99      73           -99           -99           -99
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    -#> 2551        -99      -99  -99      75           -99           -99           -99
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    -#> 2571        -99      -99  -99      77           -99           -99           -99
    -#> 2581        -99      -99  -99      78           -99           -99           -99
    -#> 2591        -99      -99  -99      79           -99           -99           -99
    -#> 2601        -99      -99  -99      80           -99           -99           -99
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    -#> 2621        -99      -99  -99      82           -99           -99           -99
    -#> 2631        -99      -99  -99      83           -99           -99           -99
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    -#> 2671        -99      -99  -99      87           -99           -99           -99
    -#> 2681        -99      -99  -99      88           -99           -99           -99
    -#> 2691        -99      -99  -99      89           -99           -99           -99
    -#> 2701        -99      -99  -99      90           -99           -99           -99
    -#> 3611        -99      -99  -99      91           -99           -99           -99
    -#> 3621        -99      -99  -99      92           -99           -99           -99
    -#> 3631        -99      -99  -99      93           -99           -99           -99
    -#> 3641        -99      -99  -99      94           -99           -99           -99
    -#> 3651        -99      -99  -99      95           -99           -99           -99
    -#> 3661        -99      -99  -99      96           -99           -99           -99
    -#> 3671        -99      -99  -99      97           -99           -99           -99
    -#> 3681        -99      -99  -99      98           -99           -99           -99
    -#> 3691        -99      -99  -99      99           -99           -99           -99
    -#> 3701        -99      -99  -99     100           -99           -99           -99
    -#> 3711        -99      -99  -99     101           -99           -99           -99
    -#> 3721        -99      -99  -99     102           -99           -99           -99
    -#> 3731        -99      -99  -99     103           -99           -99           -99
    -#> 3741        -99      -99  -99     104           -99           -99           -99
    -#> 3751        -99      -99  -99     105           -99           -99           -99
    -#> 3761        -99      -99  -99     106           -99           -99           -99
    -#> 3771        -99      -99  -99     107           -99           -99           -99
    -#> 3781        -99      -99  -99     108           -99           -99           -99
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    -#> 3801        -99      -99  -99     110           -99           -99           -99
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    -#> 3821        -99      -99  -99     112           -99           -99           -99
    -#> 3831        -99      -99  -99     113           -99           -99           -99
    -#> 3841        -99      -99  -99     114           -99           -99           -99
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    -#> 25233       -99      -99  -99     633           -99           -99           -99
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    -#> 25363       -99      -99  -99     646           -99           -99           -99
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    -#> 25483       -99      -99  -99     658           -99           -99           -99
    -#> 25493       -99      -99  -99     659           -99           -99           -99
    -#> 25503       -99      -99  -99     660           -99           -99           -99
    -#> 26415       -99      -99  -99     661           -99           -99           -99
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    -#> 26443       -99      -99  -99     664           -99           -99           -99
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    -#> 26493       -99      -99  -99     669           -99           -99           -99
    -#> 26503       -99      -99  -99     670           -99           -99           -99
    -#> 26515       -99      -99  -99     671           -99           -99           -99
    -#> 26523       -99      -99  -99     672           -99           -99           -99
    -#> 26533       -99      -99  -99     673           -99           -99           -99
    -#> 26543       -99      -99  -99     674           -99           -99           -99
    -#> 26553       -99      -99  -99     675           -99           -99           -99
    -#> 26563       -99      -99  -99     676           -99           -99           -99
    -#> 26573       -99      -99  -99     677           -99           -99           -99
    -#> 26583       -99      -99  -99     678           -99           -99           -99
    -#> 26593       -99      -99  -99     679           -99           -99           -99
    -#> 26603       -99      -99  -99     680           -99           -99           -99
    -#> 26615       -99      -99  -99     681           -99           -99           -99
    -#> 26623       -99      -99  -99     682           -99           -99           -99
    -#> 26633       -99      -99  -99     683           -99           -99           -99
    -#> 26643       -99      -99  -99     684           -99           -99           -99
    -#> 26653       -99      -99  -99     685           -99           -99           -99
    -#> 26663       -99      -99  -99     686           -99           -99           -99
    -#> 26673       -99      -99  -99     687           -99           -99           -99
    -#> 26683       -99      -99  -99     688           -99           -99           -99
    -#> 26693       -99      -99  -99     689           -99           -99           -99
    -#> 26703       -99      -99  -99     690           -99           -99           -99
    -#> 27613       -99      -99  -99     691           -99           -99           -99
    -#> 27623       -99      -99  -99     692           -99           -99           -99
    -#> 27633       -99      -99  -99     693           -99           -99           -99
    -#> 27643       -99      -99  -99     694           -99           -99           -99
    -#> 27653       -99      -99  -99     695           -99           -99           -99
    -#> 27663       -99      -99  -99     696           -99           -99           -99
    -#> 27673       -99      -99  -99     697           -99           -99           -99
    -#> 27683       -99      -99  -99     698           -99           -99           -99
    -#> 27693       -99      -99  -99     699           -99           -99           -99
    -#> 27703       -99      -99  -99     700           -99           -99           -99
    -#> 27713       -99      -99  -99     701           -99           -99           -99
    -#> 27723       -99      -99  -99     702           -99           -99           -99
    -#> 27733       -99      -99  -99     703           -99           -99           -99
    -#> 27743       -99      -99  -99     704           -99           -99           -99
    -#> 27753       -99      -99  -99     705           -99           -99           -99
    -#> 27763       -99      -99  -99     706           -99           -99           -99
    -#> 27773       -99      -99  -99     707           -99           -99           -99
    -#> 27783       -99      -99  -99     708           -99           -99           -99
    -#> 27793       -99      -99  -99     709           -99           -99           -99
    -#> 27803       -99      -99  -99     710           -99           -99           -99
    -#> 27813       -99      -99  -99     711           -99           -99           -99
    -#> 27823       -99      -99  -99     712           -99           -99           -99
    -#> 27833       -99      -99  -99     713           -99           -99           -99
    -#> 27843       -99      -99  -99     714           -99           -99           -99
    -#> 27853       -99      -99  -99     715           -99           -99           -99
    -#> 27863       -99      -99  -99     716           -99           -99           -99
    -#> 27873       -99      -99  -99     717           -99           -99           -99
    -#> 27883       -99      -99  -99     718           -99           -99           -99
    -#> 27893       -99      -99  -99     719           -99           -99           -99
    -#> 27903       -99      -99  -99     720           -99           -99           -99
    -#> 28813       -99      -99  -99     721           -99           -99           -99
    -#> 28823       -99      -99  -99     722           -99           -99           -99
    -#> 28833       -99      -99  -99     723           -99           -99           -99
    -#> 28843       -99      -99  -99     724           -99           -99           -99
    -#> 28853       -99      -99  -99     725           -99           -99           -99
    -#> 28863       -99      -99  -99     726           -99           -99           -99
    -#> 28873       -99      -99  -99     727           -99           -99           -99
    -#> 28883       -99      -99  -99     728           -99           -99           -99
    -#> 28893       -99      -99  -99     729           -99           -99           -99
    -#> 28903       -99      -99  -99     730           -99           -99           -99
    -#> 28913       -99      -99  -99     731           -99           -99           -99
    -#> 28923       -99      -99  -99     732           -99           -99           -99
    -#> 28933       -99      -99  -99     733           -99           -99           -99
    -#> 28943       -99      -99  -99     734           -99           -99           -99
    -#> 28953       -99      -99  -99     735           -99           -99           -99
    -#> 28963       -99      -99  -99     736           -99           -99           -99
    -#> 28973       -99      -99  -99     737           -99           -99           -99
    -#> 28983       -99      -99  -99     738           -99           -99           -99
    -#> 28993       -99      -99  -99     739           -99           -99           -99
    -#> 29003       -99      -99  -99     740           -99           -99           -99
    -#> 29013       -99      -99  -99     741           -99           -99           -99
    -#> 29023       -99      -99  -99     742           -99           -99           -99
    -#> 29033       -99      -99  -99     743           -99           -99           -99
    -#> 29043       -99      -99  -99     744           -99           -99           -99
    -#> 29053       -99      -99  -99     745           -99           -99           -99
    -#> 29063       -99      -99  -99     746           -99           -99           -99
    -#> 29073       -99      -99  -99     747           -99           -99           -99
    -#> 29083       -99      -99  -99     748           -99           -99           -99
    -#> 29093       -99      -99  -99     749           -99           -99           -99
    -#> 29103       -99      -99  -99     750           -99           -99           -99
    -#> 30013       -99      -99  -99     751           -99           -99           -99
    -#> 30023       -99      -99  -99     752           -99           -99           -99
    -#> 30033       -99      -99  -99     753           -99           -99           -99
    -#> 30043       -99      -99  -99     754           -99           -99           -99
    -#> 30053       -99      -99  -99     755           -99           -99           -99
    -#> 30063       -99      -99  -99     756           -99           -99           -99
    -#> 30073       -99      -99  -99     757           -99           -99           -99
    -#> 30083       -99      -99  -99     758           -99           -99           -99
    -#> 30093       -99      -99  -99     759           -99           -99           -99
    -#> 30103       -99      -99  -99     760           -99           -99           -99
    -#> 30113       -99      -99  -99     761           -99           -99           -99
    -#> 30123       -99      -99  -99     762           -99           -99           -99
    -#> 30133       -99      -99  -99     763           -99           -99           -99
    -#> 30143       -99      -99  -99     764           -99           -99           -99
    -#> 30153       -99      -99  -99     765           -99           -99           -99
    -#> 30163       -99      -99  -99     766           -99           -99           -99
    -#> 30173       -99      -99  -99     767           -99           -99           -99
    -#> 30183       -99      -99  -99     768           -99           -99           -99
    -#> 30193       -99      -99  -99     769           -99           -99           -99
    -#> 30203       -99      -99  -99     770           -99           -99           -99
    -#> 30213       -99      -99  -99     771           -99           -99           -99
    -#> 30223       -99      -99  -99     772           -99           -99           -99
    -#> 30233       -99      -99  -99     773           -99           -99           -99
    -#> 30243       -99      -99  -99     774           -99           -99           -99
    -#> 30253       -99      -99  -99     775           -99           -99           -99
    -#> 30263       -99      -99  -99     776           -99           -99           -99
    -#> 30273       -99      -99  -99     777           -99           -99           -99
    -#> 30283       -99      -99  -99     778           -99           -99           -99
    -#> 30293       -99      -99  -99     779           -99           -99           -99
    -#> 30303       -99      -99  -99     780           -99           -99           -99
    -#> 31213       -99      -99  -99     781           -99           -99           -99
    -#> 31223       -99      -99  -99     782           -99           -99           -99
    -#> 31233       -99      -99  -99     783           -99           -99           -99
    -#> 31243       -99      -99  -99     784           -99           -99           -99
    -#> 31253       -99      -99  -99     785           -99           -99           -99
    -#> 31263       -99      -99  -99     786           -99           -99           -99
    -#> 31273       -99      -99  -99     787           -99           -99           -99
    -#> 31283       -99      -99  -99     788           -99           -99           -99
    -#> 31293       -99      -99  -99     789           -99           -99           -99
    -#> 31303       -99      -99  -99     790           -99           -99           -99
    -#> 31313       -99      -99  -99     791           -99           -99           -99
    -#> 31323       -99      -99  -99     792           -99           -99           -99
    -#> 31333       -99      -99  -99     793           -99           -99           -99
    -#> 31343       -99      -99  -99     794           -99           -99           -99
    -#> 31353       -99      -99  -99     795           -99           -99           -99
    -#> 31363       -99      -99  -99     796           -99           -99           -99
    -#> 31373       -99      -99  -99     797           -99           -99           -99
    -#> 31383       -99      -99  -99     798           -99           -99           -99
    -#> 31393       -99      -99  -99     799           -99           -99           -99
    -#> 31403       -99      -99  -99     800           -99           -99           -99
    -#> 31413       -99      -99  -99     801           -99           -99           -99
    -#> 31423       -99      -99  -99     802           -99           -99           -99
    -#> 31433       -99      -99  -99     803           -99           -99           -99
    -#> 31443       -99      -99  -99     804           -99           -99           -99
    -#> 31453       -99      -99  -99     805           -99           -99           -99
    -#> 31463       -99      -99  -99     806           -99           -99           -99
    -#> 31473       -99      -99  -99     807           -99           -99           -99
    -#> 31483       -99      -99  -99     808           -99           -99           -99
    -#> 31493       -99      -99  -99     809           -99           -99           -99
    -#> 31503       -99      -99  -99     810           -99           -99           -99
    -#> 32413       -99      -99  -99     811           -99           -99           -99
    -#> 32423       -99      -99  -99     812           -99           -99           -99
    -#> 32433       -99      -99  -99     813           -99           -99           -99
    -#> 32443       -99      -99  -99     814           -99           -99           -99
    -#> 32453       -99      -99  -99     815           -99           -99           -99
    -#> 32463       -99      -99  -99     816           -99           -99           -99
    -#> 32473       -99      -99  -99     817           -99           -99           -99
    -#> 32483       -99      -99  -99     818           -99           -99           -99
    -#> 32493       -99      -99  -99     819           -99           -99           -99
    -#> 32503       -99      -99  -99     820           -99           -99           -99
    -#> 32513       -99      -99  -99     821           -99           -99           -99
    -#> 32523       -99      -99  -99     822           -99           -99           -99
    -#> 32533       -99      -99  -99     823           -99           -99           -99
    -#> 32543       -99      -99  -99     824           -99           -99           -99
    -#> 32553       -99      -99  -99     825           -99           -99           -99
    -#> 32563       -99      -99  -99     826           -99           -99           -99
    -#> 32573       -99      -99  -99     827           -99           -99           -99
    -#> 32583       -99      -99  -99     828           -99           -99           -99
    -#> 32593       -99      -99  -99     829           -99           -99           -99
    -#> 32603       -99      -99  -99     830           -99           -99           -99
    -#> 32613       -99      -99  -99     831           -99           -99           -99
    -#> 32623       -99      -99  -99     832           -99           -99           -99
    -#> 32633       -99      -99  -99     833           -99           -99           -99
    -#> 32643       -99      -99  -99     834           -99           -99           -99
    -#> 32653       -99      -99  -99     835           -99           -99           -99
    -#> 32663       -99      -99  -99     836           -99           -99           -99
    -#> 32673       -99      -99  -99     837           -99           -99           -99
    -#> 32683       -99      -99  -99     838           -99           -99           -99
    -#> 32693       -99      -99  -99     839           -99           -99           -99
    -#> 32703       -99      -99  -99     840           -99           -99           -99
    -#> 33613       -99      -99  -99     841           -99           -99           -99
    -#> 33623       -99      -99  -99     842           -99           -99           -99
    -#> 33633       -99      -99  -99     843           -99           -99           -99
    -#> 33643       -99      -99  -99     844           -99           -99           -99
    -#> 33653       -99      -99  -99     845           -99           -99           -99
    -#> 33663       -99      -99  -99     846           -99           -99           -99
    -#> 33673       -99      -99  -99     847           -99           -99           -99
    -#> 33683       -99      -99  -99     848           -99           -99           -99
    -#> 33693       -99      -99  -99     849           -99           -99           -99
    -#> 33703       -99      -99  -99     850           -99           -99           -99
    -#> 33713       -99      -99  -99     851           -99           -99           -99
    -#> 33723       -99      -99  -99     852           -99           -99           -99
    -#> 33733       -99      -99  -99     853           -99           -99           -99
    -#> 33743       -99      -99  -99     854           -99           -99           -99
    -#> 33753       -99      -99  -99     855           -99           -99           -99
    -#> 33763       -99      -99  -99     856           -99           -99           -99
    -#> 33773       -99      -99  -99     857           -99           -99           -99
    -#> 33783       -99      -99  -99     858           -99           -99           -99
    -#> 33793       -99      -99  -99     859           -99           -99           -99
    -#> 33803       -99      -99  -99     860           -99           -99           -99
    -#> 33813       -99      -99  -99     861           -99           -99           -99
    -#> 33823       -99      -99  -99     862           -99           -99           -99
    -#> 33833       -99      -99  -99     863           -99           -99           -99
    -#> 33843       -99      -99  -99     864           -99           -99           -99
    -#> 33853       -99      -99  -99     865           -99           -99           -99
    -#> 33863       -99      -99  -99     866           -99           -99           -99
    -#> 33873       -99      -99  -99     867           -99           -99           -99
    -#> 33883       -99      -99  -99     868           -99           -99           -99
    -#> 33893       -99      -99  -99     869           -99           -99           -99
    -#> 33903       -99      -99  -99     870           -99           -99           -99
    -#> 34813       -99      -99  -99     871           -99           -99           -99
    -#> 34823       -99      -99  -99     872           -99           -99           -99
    -#> 34833       -99      -99  -99     873           -99           -99           -99
    -#> 34843       -99      -99  -99     874           -99           -99           -99
    -#> 34853       -99      -99  -99     875           -99           -99           -99
    -#> 34863       -99      -99  -99     876           -99           -99           -99
    -#> 34873       -99      -99  -99     877           -99           -99           -99
    -#> 34883       -99      -99  -99     878           -99           -99           -99
    -#> 34893       -99      -99  -99     879           -99           -99           -99
    -#> 34903       -99      -99  -99     880           -99           -99           -99
    -#> 34913       -99      -99  -99     881           -99           -99           -99
    -#> 34923       -99      -99  -99     882           -99           -99           -99
    -#> 34933       -99      -99  -99     883           -99           -99           -99
    -#> 34943       -99      -99  -99     884           -99           -99           -99
    -#> 34953       -99      -99  -99     885           -99           -99           -99
    -#> 34963       -99      -99  -99     886           -99           -99           -99
    -#> 34973       -99      -99  -99     887           -99           -99           -99
    -#> 34983       -99      -99  -99     888           -99           -99           -99
    -#> 34993       -99      -99  -99     889           -99           -99           -99
    -#> 35003       -99      -99  -99     890           -99           -99           -99
    -#> 35013       -99      -99  -99     891           -99           -99           -99
    -#> 35023       -99      -99  -99     892           -99           -99           -99
    -#> 35033       -99      -99  -99     893           -99           -99           -99
    -#> 35043       -99      -99  -99     894           -99           -99           -99
    -#> 35053       -99      -99  -99     895           -99           -99           -99
    -#> 35063       -99      -99  -99     896           -99           -99           -99
    -#> 35073       -99      -99  -99     897           -99           -99           -99
    -#> 35083       -99      -99  -99     898           -99           -99           -99
    -#> 35093       -99      -99  -99     899           -99           -99           -99
    -#> 35103       -99      -99  -99     900           -99           -99           -99
    -#>       ff_rep_index4
    -#> 1              2701
    -#> 2              2702
    -#> 3              2703
    -#> 4              2704
    -#> 5              2705
    -#> 6              2706
    -#> 7              2707
    -#> 8              2708
    -#> 9              2709
    -#> 10             2710
    -#> 11             2711
    -#> 12             2712
    -#> 13             2713
    -#> 14             2714
    -#> 15             2715
    -#> 16             2716
    -#> 17             2717
    -#> 18             2718
    -#> 19             2719
    -#> 20             2720
    -#> 21             2721
    -#> 22             2722
    -#> 23             2723
    -#> 24             2724
    -#> 25             2725
    -#> 26             2726
    -#> 27             2727
    -#> 28             2728
    -#> 29             2729
    -#> 30             2730
    -#> 121            2731
    -#> 122            2732
    -#> 123            2733
    -#> 124            2734
    -#> 125            2735
    -#> 126            2736
    -#> 127            2737
    -#> 128            2738
    -#> 129            2739
    -#> 130            2740
    -#> 131            2741
    -#> 132            2742
    -#> 133            2743
    -#> 134            2744
    -#> 135            2745
    -#> 136            2746
    -#> 137            2747
    -#> 138            2748
    -#> 139            2749
    -#> 140            2750
    -#> 141            2751
    -#> 142            2752
    -#> 143            2753
    -#> 144            2754
    -#> 145            2755
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    -#> 150            2760
    -#> 241            2761
    -#> 242            2762
    -#> 243            2763
    -#> 244            2764
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    -#> 248            2768
    -#> 249            2769
    -#> 250            2770
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    -#> 268            2788
    -#> 269            2789
    -#> 270            2790
    -#> 361            2791
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    -#> 364            2794
    -#> 365            2795
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    -#> 369            2799
    -#> 370            2800
    -#> 371            2801
    -#> 372            2802
    -#> 373            2803
    -#> 374            2804
    -#> 375            2805
    -#> 376            2806
    -#> 377            2807
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    -#> 379            2809
    -#> 380            2810
    -#> 381            2811
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    -#> 383            2813
    -#> 384            2814
    -#> 385            2815
    -#> 386            2816
    -#> 387            2817
    -#> 388            2818
    -#> 389            2819
    -#> 390            2820
    -#> 481            2821
    -#> 482            2822
    -#> 483            2823
    -#> 484            2824
    -#> 485            2825
    -#> 486            2826
    -#> 487            2827
    -#> 488            2828
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    -#> 491            2831
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    -#> 495            2835
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    -#> 497            2837
    -#> 498            2838
    -#> 499            2839
    -#> 500            2840
    -#> 501            2841
    -#> 502            2842
    -#> 503            2843
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    -#> 505            2845
    -#> 506            2846
    -#> 507            2847
    -#> 508            2848
    -#> 509            2849
    -#> 510            2850
    -#> 601            2851
    -#> 602            2852
    -#> 603            2853
    -#> 604            2854
    -#> 605            2855
    -#> 606            2856
    -#> 607            2857
    -#> 608            2858
    -#> 609            2859
    -#> 610            2860
    -#> 611            2861
    -#> 612            2862
    -#> 613            2863
    -#> 614            2864
    -#> 615            2865
    -#> 616            2866
    -#> 617            2867
    -#> 618            2868
    -#> 619            2869
    -#> 620            2870
    -#> 621            2871
    -#> 622            2872
    -#> 623            2873
    -#> 624            2874
    -#> 625            2875
    -#> 626            2876
    -#> 627            2877
    -#> 628            2878
    -#> 629            2879
    -#> 630            2880
    -#> 721            2881
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    -#> 730            2890
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    -#> 733            2893
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    -#> 735            2895
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    -#> 739            2899
    -#> 740            2900
    -#> 741            2901
    -#> 742            2902
    -#> 743            2903
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    -#> 745            2905
    -#> 746            2906
    -#> 747            2907
    -#> 748            2908
    -#> 749            2909
    -#> 750            2910
    -#> 841            2911
    -#> 842            2912
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    -#> 844            2914
    -#> 845            2915
    -#> 846            2916
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    -#> 850            2920
    -#> 851            2921
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    -#> 854            2924
    -#> 855            2925
    -#> 856            2926
    -#> 857            2927
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    -#> 859            2929
    -#> 860            2930
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    -#> 865            2935
    -#> 866            2936
    -#> 867            2937
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    -#> 869            2939
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    -#> 965            2945
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    -#> 973            2953
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    -#> 975            2955
    -#> 976            2956
    -#> 977            2957
    -#> 978            2958
    -#> 979            2959
    -#> 980            2960
    -#> 981            2961
    -#> 982            2962
    -#> 983            2963
    -#> 984            2964
    -#> 985            2965
    -#> 986            2966
    -#> 987            2967
    -#> 988            2968
    -#> 989            2969
    -#> 990            2970
    -#> 1081           2971
    -#> 1082           2972
    -#> 1083           2973
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    -#> 1085           2975
    -#> 1086           2976
    -#> 1087           2977
    -#> 1088           2978
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    -#> 1090           2980
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    -#> 1094           2984
    -#> 1095           2985
    -#> 1096           2986
    -#> 1097           2987
    -#> 1098           2988
    -#> 1099           2989
    -#> 1100           2990
    -#> 1101           2991
    -#> 1102           2992
    -#> 1103           2993
    -#> 1104           2994
    -#> 1105           2995
    -#> 1106           2996
    -#> 1107           2997
    -#> 1108           2998
    -#> 1109           2999
    -#> 1110           3000
    -#> 1201           3001
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    -#> 1203           3003
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    -#> 1205           3005
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    -#> 1210           3010
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    -#> 1220           3020
    -#> 1221           3021
    -#> 1222           3022
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    -#> 1227           3027
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    -#> 1581           3111
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    -#> 1583           3113
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    -#> 1701           3141
    -#> 1702           3142
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    -#> 1811           3161
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    -#> 1826           3176
    -#> 1827           3177
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    -#> 1830           3180
    -#> 1921           3181
    -#> 1922           3182
    -#> 1923           3183
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    -#> 1925           3185
    -#> 1926           3186
    -#> 1927           3187
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    -#> 1931           3191
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    -#> 1933           3193
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    -#> 1935           3195
    -#> 1936           3196
    -#> 1937           3197
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    -#> 1939           3199
    -#> 1940           3200
    -#> 1941           3201
    -#> 1942           3202
    -#> 1943           3203
    -#> 1944           3204
    -#> 1945           3205
    -#> 1946           3206
    -#> 1947           3207
    -#> 1948           3208
    -#> 1949           3209
    -#> 1950           3210
    -#> 2041           3211
    -#> 2042           3212
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    -#> 2044           3214
    -#> 2045           3215
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    -#> 2051           3221
    -#> 2052           3222
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    -#> 2055           3225
    -#> 2056           3226
    -#> 2057           3227
    -#> 2058           3228
    -#> 2059           3229
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    -#> 2066           3236
    -#> 2067           3237
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    -#> 2070           3240
    -#> 2161           3241
    -#> 2162           3242
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    -#> 2165           3245
    -#> 2166           3246
    -#> 2167           3247
    -#> 2168           3248
    -#> 2169           3249
    -#> 2170           3250
    -#> 2171           3251
    -#> 2172           3252
    -#> 2173           3253
    -#> 2174           3254
    -#> 2175           3255
    -#> 2176           3256
    -#> 2177           3257
    -#> 2178           3258
    -#> 2179           3259
    -#> 2180           3260
    -#> 2181           3261
    -#> 2182           3262
    -#> 2183           3263
    -#> 2184           3264
    -#> 2185           3265
    -#> 2186           3266
    -#> 2187           3267
    -#> 2188           3268
    -#> 2189           3269
    -#> 2190           3270
    -#> 2281           3271
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    -#> 2285           3275
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    -#> 2287           3277
    -#> 2288           3278
    -#> 2289           3279
    -#> 2290           3280
    -#> 2291           3281
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    -#> 2294           3284
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    -#> 2296           3286
    -#> 2297           3287
    -#> 2298           3288
    -#> 2299           3289
    -#> 2300           3290
    -#> 2301           3291
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    -#> 2303           3293
    -#> 2304           3294
    -#> 2305           3295
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    -#> 2307           3297
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    -#> 2309           3299
    -#> 2310           3300
    -#> 2401           3301
    -#> 2402           3302
    -#> 2403           3303
    -#> 2404           3304
    -#> 2405           3305
    -#> 2406           3306
    -#> 2407           3307
    -#> 2408           3308
    -#> 2409           3309
    -#> 2410           3310
    -#> 2411           3311
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    -#> 2413           3313
    -#> 2414           3314
    -#> 2415           3315
    -#> 2416           3316
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    -#> 2419           3319
    -#> 2420           3320
    -#> 2421           3321
    -#> 2422           3322
    -#> 2423           3323
    -#> 2424           3324
    -#> 2425           3325
    -#> 2426           3326
    -#> 2427           3327
    -#> 2428           3328
    -#> 2429           3329
    -#> 2430           3330
    -#> 2521           3331
    -#> 2522           3332
    -#> 2523           3333
    -#> 2524           3334
    -#> 2525           3335
    -#> 2526           3336
    -#> 2527           3337
    -#> 2528           3338
    -#> 2529           3339
    -#> 2530           3340
    -#> 2531           3341
    -#> 2532           3342
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    -#> 2535           3345
    -#> 2536           3346
    -#> 2537           3347
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    -#> 2539           3349
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    -#> 2546           3356
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    -#> 2549           3359
    -#> 2550           3360
    -#> 2641           3361
    -#> 2642           3362
    -#> 2643           3363
    -#> 2644           3364
    -#> 2645           3365
    -#> 2646           3366
    -#> 2647           3367
    -#> 2648           3368
    -#> 2649           3369
    -#> 2650           3370
    -#> 2651           3371
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    -#> 2653           3373
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    -#> 2655           3375
    -#> 2656           3376
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    -#> 2659           3379
    -#> 2660           3380
    -#> 2661           3381
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    -#> 2664           3384
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    -#> 2666           3386
    -#> 2667           3387
    -#> 2668           3388
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    -#> 2670           3390
    -#> 2761           3391
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    -#> 2765           3395
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    -#> 2770           3400
    -#> 2771           3401
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    -#> 2773           3403
    -#> 2774           3404
    -#> 2775           3405
    -#> 2776           3406
    -#> 2777           3407
    -#> 2778           3408
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    -#> 2780           3410
    -#> 2781           3411
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    -#> 2784           3414
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    -#> 2881           3421
    -#> 2882           3422
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    -#> 2885           3425
    -#> 2886           3426
    -#> 2887           3427
    -#> 2888           3428
    -#> 2889           3429
    -#> 2890           3430
    -#> 2891           3431
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    -#> 2893           3433
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    -#> 2895           3435
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    -#> 2899           3439
    -#> 2900           3440
    -#> 2901           3441
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    -#> 2906           3446
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    -#> 2909           3449
    -#> 2910           3450
    -#> 3001           3451
    -#> 3002           3452
    -#> 3003           3453
    -#> 3004           3454
    -#> 3005           3455
    -#> 3006           3456
    -#> 3007           3457
    -#> 3008           3458
    -#> 3009           3459
    -#> 3010           3460
    -#> 3011           3461
    -#> 3012           3462
    -#> 3013           3463
    -#> 3014           3464
    -#> 3015           3465
    -#> 3016           3466
    -#> 3017           3467
    -#> 3018           3468
    -#> 3019           3469
    -#> 3020           3470
    -#> 3021           3471
    -#> 3022           3472
    -#> 3023           3473
    -#> 3024           3474
    -#> 3025           3475
    -#> 3026           3476
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    -#> 3028           3478
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    -#> 3030           3480
    -#> 3121           3481
    -#> 3122           3482
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    -#> 3124           3484
    -#> 3125           3485
    -#> 3126           3486
    -#> 3127           3487
    -#> 3128           3488
    -#> 3129           3489
    -#> 3130           3490
    -#> 3131           3491
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    -#> 3133           3493
    -#> 3134           3494
    -#> 3135           3495
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    -#> 3139           3499
    -#> 3140           3500
    -#> 3141           3501
    -#> 3142           3502
    -#> 3143           3503
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    -#> 3145           3505
    -#> 3146           3506
    -#> 3147           3507
    -#> 3148           3508
    -#> 3149           3509
    -#> 3150           3510
    -#> 3241           3511
    -#> 3242           3512
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    -#> 110             -99
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    -#> 
    -#> $n_rep
    -#> [1] 4
    -#> 
    -#> $type
    -#> [1] "single"
    -#> 
    -#> $unit_covs
    -#> [1] "uc1"     "uc2"     "grp"     "species"
    -#> 
    -#> $event_covs
    -#> [1] "ec1" "ec2"
    -#> 
    -#> attr(,"class")
    -#> [1] "list"         "flocker_data"
    -
    -
    -
    - -
    - - -
    - -
    -

    Site built with pkgdown 2.0.7.

    -
    - -
    - - - - - - - - diff --git a/docs/reference/make_forward_colex.html b/docs/reference/make_forward_colex.html deleted file mode 100644 index ca46e3f..0000000 --- a/docs/reference/make_forward_colex.html +++ /dev/null @@ -1,110 +0,0 @@ - -Create Stan code for forward_colex function, an implementation of the - forward algorithm for use in colex models. — make_forward_colex • flocker - - -
    -
    - - - -
    -
    - - -
    -

    Create Stan code for forward_colex function, an implementation of the - forward algorithm for use in colex models.

    -
    - -
    -
    make_forward_colex()
    -
    - -
    -

    Value

    - - -

    Character string of Stan code corresponding to forward_colex

    -
    - -
    - -
    - - -
    - -
    -

    Site built with pkgdown 2.0.7.

    -
    - -
    - - - - - - - - diff --git a/docs/reference/make_occupancy_augmented_lpmf.html b/docs/reference/make_occupancy_augmented_lpmf.html deleted file mode 100644 index 8b425db..0000000 --- a/docs/reference/make_occupancy_augmented_lpmf.html +++ /dev/null @@ -1,117 +0,0 @@ - -Create Stan code for likelihood function occupancy_augmented_lpmf for -rep-varying model. — make_occupancy_augmented_lpmf • flocker - - -
    -
    - - - -
    -
    - - -
    -

    Create Stan code for likelihood function occupancy_augmented_lpmf for -rep-varying model.

    -
    - -
    -
    make_occupancy_augmented_lpmf(max_rep)
    -
    - -
    -

    Arguments

    -
    max_rep
    -

    Literal integer maximum number of repeated sampling events at -any unit.

    - -
    -
    -

    Value

    - - -

    Character string of Stan code corresponding to occupancy_V_lpmf

    -
    - -
    - -
    - - -
    - -
    -

    Site built with pkgdown 2.0.7.

    -
    - -
    - - - - - - - - diff --git a/docs/reference/make_occupancy_multi_autologistic_eq_lpmf.html b/docs/reference/make_occupancy_multi_autologistic_eq_lpmf.html deleted file mode 100644 index c5006db..0000000 --- a/docs/reference/make_occupancy_multi_autologistic_eq_lpmf.html +++ /dev/null @@ -1,117 +0,0 @@ - -Create Stan code for likelihood function occupancy_multi_autologistic_eq_lpmf. — make_occupancy_multi_autologistic_eq_lpmf • flocker - - -
    -
    - - - -
    -
    - - -
    -

    Create Stan code for likelihood function occupancy_multi_autologistic_eq_lpmf.

    -
    - -
    -
    make_occupancy_multi_autologistic_eq_lpmf(max_rep, max_year)
    -
    - -
    -

    Arguments

    -
    max_rep
    -

    Literal integer maximum number of repeated sampling events at -any unit.

    - - -
    max_year
    -

    Literal integer maximum number of years (or seasons) visited -in any series

    - -
    -
    -

    Value

    - - -

    Character string of Stan code corresponding to occupancy_multi_autologistic_eq_lpmf

    -
    - -
    - -
    - - -
    - -
    -

    Site built with pkgdown 2.0.7.

    -
    - -
    - - - - - - - - diff --git a/docs/reference/make_occupancy_multi_autologistic_lpmf.html b/docs/reference/make_occupancy_multi_autologistic_lpmf.html deleted file mode 100644 index fcf8b5d..0000000 --- a/docs/reference/make_occupancy_multi_autologistic_lpmf.html +++ /dev/null @@ -1,117 +0,0 @@ - -Create Stan code for likelihood function occupancy_multi_autologistic_lpmf. — make_occupancy_multi_autologistic_lpmf • flocker - - -
    -
    - - - -
    -
    - - -
    -

    Create Stan code for likelihood function occupancy_multi_autologistic_lpmf.

    -
    - -
    -
    make_occupancy_multi_autologistic_lpmf(max_rep, max_year)
    -
    - -
    -

    Arguments

    -
    max_rep
    -

    Literal integer maximum number of repeated sampling events at -any unit.

    - - -
    max_year
    -

    Literal integer maximum number of years (or seasons) visited -in any series

    - -
    -
    -

    Value

    - - -

    Character string of Stan code corresponding to occupancy_multi_autologistic_lpmf

    -
    - -
    - -
    - - -
    - -
    -

    Site built with pkgdown 2.0.7.

    -
    - -
    - - - - - - - - diff --git a/docs/reference/make_occupancy_multi_colex_eq_lpmf.html b/docs/reference/make_occupancy_multi_colex_eq_lpmf.html deleted file mode 100644 index 0eb54e9..0000000 --- a/docs/reference/make_occupancy_multi_colex_eq_lpmf.html +++ /dev/null @@ -1,117 +0,0 @@ - -Create Stan code for likelihood function occupancy_multi_colex_eq_lpmf. — make_occupancy_multi_colex_eq_lpmf • flocker - - -
    -
    - - - -
    -
    - - -
    -

    Create Stan code for likelihood function occupancy_multi_colex_eq_lpmf.

    -
    - -
    -
    make_occupancy_multi_colex_eq_lpmf(max_rep, max_year)
    -
    - -
    -

    Arguments

    -
    max_rep
    -

    Literal integer maximum number of repeated sampling events at -any unit.

    - - -
    max_year
    -

    Literal integer maximum number of years (or seasons) visited -in any series

    - -
    -
    -

    Value

    - - -

    Character string of Stan code corresponding to occupancy_multi_colex_eq_lpmf

    -
    - -
    - -
    - - -
    - -
    -

    Site built with pkgdown 2.0.7.

    -
    - -
    - - - - - - - - diff --git a/docs/reference/make_occupancy_multi_colex_lpmf.html b/docs/reference/make_occupancy_multi_colex_lpmf.html deleted file mode 100644 index d8f37bc..0000000 --- a/docs/reference/make_occupancy_multi_colex_lpmf.html +++ /dev/null @@ -1,117 +0,0 @@ - -Create Stan code for likelihood function occupancy_multi_colex_lpmf. — make_occupancy_multi_colex_lpmf • flocker - - -
    -
    - - - -
    -
    - - -
    -

    Create Stan code for likelihood function occupancy_multi_colex_lpmf.

    -
    - -
    -
    make_occupancy_multi_colex_lpmf(max_rep, max_year)
    -
    - -
    -

    Arguments

    -
    max_rep
    -

    Literal integer maximum number of repeated sampling events at -any unit.

    - - -
    max_year
    -

    Literal integer maximum number of years (or seasons) visited -in any series

    - -
    -
    -

    Value

    - - -

    Character string of Stan code corresponding to occupancy_multi_colex_lpmf

    -
    - -
    - -
    - - -
    - -
    -

    Site built with pkgdown 2.0.7.

    -
    - -
    - - - - - - - - diff --git a/docs/reference/make_occupancy_single_C_lpmf.html b/docs/reference/make_occupancy_single_C_lpmf.html deleted file mode 100644 index feef002..0000000 --- a/docs/reference/make_occupancy_single_C_lpmf.html +++ /dev/null @@ -1,125 +0,0 @@ - -Create Stan code for likelihood function occupancy_single_C_lpmf. -The purpose of defining this custom family, rather than using brms's zero-inflated -binomial, is to ensure that the occupancy parameters are interpretable with -values of 1 in the marginalized state reflecting occupancy rather than non- -occupancy. — make_occupancy_single_C_lpmf • flocker - - -
    -
    - - - -
    -
    - - -
    -

    Create Stan code for likelihood function occupancy_single_C_lpmf. -The purpose of defining this custom family, rather than using brms's zero-inflated -binomial, is to ensure that the occupancy parameters are interpretable with -values of 1 in the marginalized state reflecting occupancy rather than non- -occupancy.

    -
    - -
    -
    make_occupancy_single_C_lpmf()
    -
    - -
    -

    Value

    - - -

    Character string of Stan code corresponding to occupancy_single_C_lpmf

    -
    - -
    - -
    - - -
    - -
    -

    Site built with pkgdown 2.0.7.

    -
    - -
    - - - - - - - - diff --git a/docs/reference/make_occupancy_single_lpmf.html b/docs/reference/make_occupancy_single_lpmf.html deleted file mode 100644 index 05e460a..0000000 --- a/docs/reference/make_occupancy_single_lpmf.html +++ /dev/null @@ -1,112 +0,0 @@ - -Create Stan code for likelihood function occupancy_single_lpmf. — make_occupancy_single_lpmf • flocker - - -
    -
    - - - -
    -
    - - -
    -

    Create Stan code for likelihood function occupancy_single_lpmf.

    -
    - -
    -
    make_occupancy_single_lpmf(max_rep)
    -
    - -
    -

    Arguments

    -
    max_rep
    -

    Literal integer maximum number of repeated sampling events at -any unit.

    - -
    -
    -

    Value

    - - -

    Character string of Stan code corresponding to occupancy_single_lpmf

    -
    - -
    - -
    - - -
    - -
    -

    Site built with pkgdown 2.0.7.

    -
    - -
    - - - - - - - - diff --git a/docs/reference/make_occupancy_single_partial_sum.html b/docs/reference/make_occupancy_single_partial_sum.html deleted file mode 100644 index 7160bd0..0000000 --- a/docs/reference/make_occupancy_single_partial_sum.html +++ /dev/null @@ -1,112 +0,0 @@ - -Create Stan code for likelihood function occupancy_single_lpmf. — make_occupancy_single_partial_sum • flocker - - -
    -
    - - - -
    -
    - - -
    -

    Create Stan code for likelihood function occupancy_single_lpmf.

    -
    - -
    -
    make_occupancy_single_partial_sum(max_rep)
    -
    - -
    -

    Arguments

    -
    max_rep
    -

    Literal integer maximum number of repeated sampling events at -any unit.

    - -
    -
    -

    Value

    - - -

    Character string of Stan code corresponding to occupancy_single_lpmf

    -
    - -
    - -
    - - -
    - -
    -

    Site built with pkgdown 2.0.7.

    -
    - -
    - - - - - - - - diff --git a/docs/reference/max_position_not_na.html b/docs/reference/max_position_not_na.html deleted file mode 100644 index 63abb4d..0000000 --- a/docs/reference/max_position_not_na.html +++ /dev/null @@ -1,120 +0,0 @@ - -get largest index in a vector that is not NA — max_position_not_na • flocker - - -
    -
    - - - -
    -
    - - -
    -

    get largest index in a vector that is not NA

    -
    - -
    -
    max_position_not_na(x, treat_m99_NA = FALSE)
    -
    - -
    -

    Arguments

    -
    x
    -

    vector to test

    - - -
    treat_m99_NA
    -

    logical; should -99 be treated as NA?

    - -
    -
    -

    Value

    - - -

    0 if all elements are NA; otherwise the largest index that is not NA

    -
    -
    -

    Details

    -

    if `treat_m99_NA` is `TRUE`, then character `"-99"` will be treated - as `NA` just as numeric `-99` would be.

    -
    - -
    - -
    - - -
    - -
    -

    Site built with pkgdown 2.0.7.

    -
    - -
    - - - - - - - - diff --git a/docs/reference/multi_init_types.html b/docs/reference/multi_init_types.html deleted file mode 100644 index dbf547c..0000000 --- a/docs/reference/multi_init_types.html +++ /dev/null @@ -1,105 +0,0 @@ - -possible values for the `multi_init` parameter if not NULL — multi_init_types • flocker - - -
    -
    - - - -
    -
    - - -
    -

    possible values for the `multi_init` parameter if not NULL

    -
    - -
    -
    multi_init_types()
    -
    - -
    -

    Value

    - - -

    character vector of options

    -
    - -
    - -
    - - -
    - -
    -

    Site built with pkgdown 2.0.7.

    -
    - -
    - - - - - - - - diff --git a/docs/reference/multi_types.html b/docs/reference/multi_types.html deleted file mode 100644 index 6285a92..0000000 --- a/docs/reference/multi_types.html +++ /dev/null @@ -1,105 +0,0 @@ - -flocker_data_output_types valid for use with colex models — multi_types • flocker - - -
    -
    - - - -
    -
    - - -
    -

    flocker_data_output_types valid for use with colex models

    -
    - -
    -
    multi_types()
    -
    - -
    -

    Value

    - - -

    character vector of data output types

    -
    - -
    - -
    - - -
    - -
    -

    Site built with pkgdown 2.0.7.

    -
    - -
    - - - - - - - - diff --git a/docs/reference/new_array.html b/docs/reference/new_array.html deleted file mode 100644 index b6b4fa5..0000000 --- a/docs/reference/new_array.html +++ /dev/null @@ -1,115 +0,0 @@ - -create a new array with the dimensions of an old array — new_array • flocker - - -
    -
    - - - -
    -
    - - -
    -

    create a new array with the dimensions of an old array

    -
    - -
    -
    new_array(m, data = NA)
    -
    - -
    -

    Arguments

    -
    m
    -

    old array

    - - -
    data
    -

    passed to the data argument of array()

    - -
    -
    -

    Value

    - - -

    new array

    -
    - -
    - -
    - - -
    - -
    -

    Site built with pkgdown 2.0.7.

    -
    - -
    - - - - - - - - diff --git a/docs/reference/new_matrix.html b/docs/reference/new_matrix.html deleted file mode 100644 index 40091cb..0000000 --- a/docs/reference/new_matrix.html +++ /dev/null @@ -1,119 +0,0 @@ - -create a new matrix with the dimensions of an old matrix — new_matrix • flocker - - -
    -
    - - - -
    -
    - - -
    -

    create a new matrix with the dimensions of an old matrix

    -
    - -
    -
    new_matrix(m, data = NA, byrow = FALSE)
    -
    - -
    -

    Arguments

    -
    m
    -

    old matrix

    - - -
    data
    -

    passed to the data argument of matrix()

    - - -
    byrow
    -

    passed to the byrow argument of matrix()

    - -
    -
    -

    Value

    - - -

    new matrix

    -
    - -
    - -
    - - -
    - -
    -

    Site built with pkgdown 2.0.7.

    -
    - -
    - - - - - - - - diff --git a/docs/reference/nslice.html b/docs/reference/nslice.html deleted file mode 100644 index 01b38ae..0000000 --- a/docs/reference/nslice.html +++ /dev/null @@ -1,111 +0,0 @@ - -Get third dimension of a 3D array — nslice • flocker - - -
    -
    - - - -
    -
    - - -
    -

    Get third dimension of a 3D array

    -
    - -
    -
    nslice(x)
    -
    - -
    -

    Arguments

    -
    x
    -

    3D array for which third dimension is desired

    - -
    -
    -

    Value

    - - -

    integer size of third dimension

    -
    - -
    - -
    - - -
    - -
    -

    Site built with pkgdown 2.0.7.

    -
    - -
    - - - - - - - - diff --git a/docs/reference/occupancy_augmented.html b/docs/reference/occupancy_augmented.html deleted file mode 100644 index 8e5d048..0000000 --- a/docs/reference/occupancy_augmented.html +++ /dev/null @@ -1,111 +0,0 @@ - -Define the rep-varying augmented occupancy family — occupancy_augmented • flocker - - -
    -
    - - - -
    -
    - - -
    -

    Define the rep-varying augmented occupancy family

    -
    - -
    -
    occupancy_augmented(max_rep)
    -
    - -
    -

    Arguments

    -
    max_rep
    -

    the maximum number of repeat sampling events at a unit

    - -
    -
    -

    Value

    - - -

    a "customfamily" "brmsfamily" object from brms

    -
    - -
    - -
    - - -
    - -
    -

    Site built with pkgdown 2.0.7.

    -
    - -
    - - - - - - - - diff --git a/docs/reference/occupancy_multi_autologistic.html b/docs/reference/occupancy_multi_autologistic.html deleted file mode 100644 index e8106be..0000000 --- a/docs/reference/occupancy_multi_autologistic.html +++ /dev/null @@ -1,115 +0,0 @@ - -Define the autologistic family — occupancy_multi_autologistic • flocker - - -
    -
    - - - -
    -
    - - -
    -

    Define the autologistic family

    -
    - -
    -
    occupancy_multi_autologistic(max_year, max_rep)
    -
    - -
    -

    Arguments

    -
    max_year
    -

    the maximum number of seasons at a colex unit

    - - -
    max_rep
    -

    the maximum number of repeat sampling events at a closure unit

    - -
    -
    -

    Value

    - - -

    a "customfamily" "brmsfamily" object from brms

    -
    - -
    - -
    - - -
    - -
    -

    Site built with pkgdown 2.0.7.

    -
    - -
    - - - - - - - - diff --git a/docs/reference/occupancy_multi_autologistic_eq.html b/docs/reference/occupancy_multi_autologistic_eq.html deleted file mode 100644 index 3a327d2..0000000 --- a/docs/reference/occupancy_multi_autologistic_eq.html +++ /dev/null @@ -1,115 +0,0 @@ - -Define the autologistic_eq family — occupancy_multi_autologistic_eq • flocker - - -
    -
    - - - -
    -
    - - -
    -

    Define the autologistic_eq family

    -
    - -
    -
    occupancy_multi_autologistic_eq(max_year, max_rep)
    -
    - -
    -

    Arguments

    -
    max_year
    -

    the maximum number of seasons at a colex unit

    - - -
    max_rep
    -

    the maximum number of repeat sampling events at a closure unit

    - -
    -
    -

    Value

    - - -

    a "customfamily" "brmsfamily" object from brms

    -
    - -
    - -
    - - -
    - -
    -

    Site built with pkgdown 2.0.7.

    -
    - -
    - - - - - - - - diff --git a/docs/reference/occupancy_multi_colex.html b/docs/reference/occupancy_multi_colex.html deleted file mode 100644 index 6d27175..0000000 --- a/docs/reference/occupancy_multi_colex.html +++ /dev/null @@ -1,115 +0,0 @@ - -Define the colonization-extinction family — occupancy_multi_colex • flocker - - -
    -
    - - - -
    -
    - - -
    -

    Define the colonization-extinction family

    -
    - -
    -
    occupancy_multi_colex(max_year, max_rep)
    -
    - -
    -

    Arguments

    -
    max_year
    -

    the maximum number of seasons at a colex unit

    - - -
    max_rep
    -

    the maximum number of repeat sampling events at a closure unit

    - -
    -
    -

    Value

    - - -

    a "customfamily" "brmsfamily" object from brms

    -
    - -
    - -
    - - -
    - -
    -

    Site built with pkgdown 2.0.7.

    -
    - -
    - - - - - - - - diff --git a/docs/reference/occupancy_multi_colex_eq.html b/docs/reference/occupancy_multi_colex_eq.html deleted file mode 100644 index e709d44..0000000 --- a/docs/reference/occupancy_multi_colex_eq.html +++ /dev/null @@ -1,115 +0,0 @@ - -Define the colonization-extinction equilibrium family — occupancy_multi_colex_eq • flocker - - -
    -
    - - - -
    -
    - - -
    -

    Define the colonization-extinction equilibrium family

    -
    - -
    -
    occupancy_multi_colex_eq(max_year, max_rep)
    -
    - -
    -

    Arguments

    -
    max_year
    -

    the maximum number of seasons at a colex unit

    - - -
    max_rep
    -

    the maximum number of repeat sampling events at a closure unit

    - -
    -
    -

    Value

    - - -

    a "customfamily" "brmsfamily" object from brms

    -
    - -
    - -
    - - -
    - -
    -

    Site built with pkgdown 2.0.7.

    -
    - -
    - - - - - - - - diff --git a/docs/reference/occupancy_single.html b/docs/reference/occupancy_single.html deleted file mode 100644 index a2e475d..0000000 --- a/docs/reference/occupancy_single.html +++ /dev/null @@ -1,111 +0,0 @@ - -Define the rep-varying occupancy family — occupancy_single • flocker - - -
    -
    - - - -
    -
    - - -
    -

    Define the rep-varying occupancy family

    -
    - -
    -
    occupancy_single(max_rep)
    -
    - -
    -

    Arguments

    -
    max_rep
    -

    the maximum number of repeat sampling events at a unit

    - -
    -
    -

    Value

    - - -

    a "customfamily" "brmsfamily" object from brms

    -
    - -
    - -
    - - -
    - -
    -

    Site built with pkgdown 2.0.7.

    -
    - -
    - - - - - - - - diff --git a/docs/reference/occupancy_single_C.html b/docs/reference/occupancy_single_C.html deleted file mode 100644 index 92cd218..0000000 --- a/docs/reference/occupancy_single_C.html +++ /dev/null @@ -1,105 +0,0 @@ - -Define the rep-constant occupancy family — occupancy_single_C • flocker - - -
    -
    - - - -
    -
    - - -
    -

    Define the rep-constant occupancy family

    -
    - -
    -
    occupancy_single_C()
    -
    - -
    -

    Value

    - - -

    a "customfamily" "brmsfamily" object from brms

    -
    - -
    - -
    - - -
    - -
    -

    Site built with pkgdown 2.0.7.

    -
    - -
    - - - - - - - - diff --git a/docs/reference/occupancy_single_C_lpmf.html b/docs/reference/occupancy_single_C_lpmf.html deleted file mode 100644 index a8be594..0000000 --- a/docs/reference/occupancy_single_C_lpmf.html +++ /dev/null @@ -1,128 +0,0 @@ - -An R implementation of the rep constant lpmf without the binomial coefficient. — occupancy_single_C_lpmf • flocker - - -
    -
    - - - -
    -
    - - -
    -

    An R implementation of the rep constant lpmf without the binomial coefficient.

    -
    - -
    -
    occupancy_single_C_lpmf(y, mu, occ, trials)
    -
    - -
    -

    Arguments

    -
    y
    -

    number of detections

    - - -
    mu
    -

    logit-scale detection probability

    - - -
    occ
    -

    logit-scale occupancy probability

    - - -
    trials
    -

    number of reps

    - -
    -
    -

    Value

    - - -

    The log-likelihood

    -
    -
    -

    Details

    -

    By omitting the binomial coefficient, the log-likelihood is directly - comparable to log-likelihoods from rep-varying models.

    -
    - -
    - -
    - - -
    - -
    -

    Site built with pkgdown 2.0.7.

    -
    - -
    - - - - - - - - diff --git a/docs/reference/occupancy_single_C_lpmf_with_coef.html b/docs/reference/occupancy_single_C_lpmf_with_coef.html deleted file mode 100644 index a8fd96e..0000000 --- a/docs/reference/occupancy_single_C_lpmf_with_coef.html +++ /dev/null @@ -1,128 +0,0 @@ - -An R implementation of occupancy_C_lpmf including the binomial coefficient. -Not currently in use. — occupancy_single_C_lpmf_with_coef • flocker - - -
    -
    - - - -
    -
    - - -
    -

    An R implementation of occupancy_C_lpmf including the binomial coefficient. -Not currently in use.

    -
    - -
    -
    occupancy_single_C_lpmf_with_coef(y, mu, occ, trials)
    -
    - -
    -

    Arguments

    -
    y
    -

    number of detections

    - - -
    mu
    -

    logit-scale detection probability

    - - -
    occ
    -

    logit-scale occupancy probability

    - - -
    trials
    -

    number of reps

    - -
    -
    -

    Value

    - - -

    The log-likelihood

    -
    - -
    - -
    - - -
    - -
    -

    Site built with pkgdown 2.0.7.

    -
    - -
    - - - - - - - - diff --git a/docs/reference/occupancy_single_threaded.html b/docs/reference/occupancy_single_threaded.html deleted file mode 100644 index 07ddc41..0000000 --- a/docs/reference/occupancy_single_threaded.html +++ /dev/null @@ -1,111 +0,0 @@ - -Define the rep-varying occupancy family with threading — occupancy_single_threaded • flocker - - -
    -
    - - - -
    -
    - - -
    -

    Define the rep-varying occupancy family with threading

    -
    - -
    -
    occupancy_single_threaded(max_rep)
    -
    - -
    -

    Arguments

    -
    max_rep
    -

    the maximum number of repeat sampling events at a unit

    - -
    -
    -

    Value

    - - -

    a "customfamily" "brmsfamily" object from brms

    -
    - -
    - -
    - - -
    - -
    -

    Site built with pkgdown 2.0.7.

    -
    - -
    - - - - - - - - diff --git a/docs/reference/params_by_type.html b/docs/reference/params_by_type.html deleted file mode 100644 index a5660cc..0000000 --- a/docs/reference/params_by_type.html +++ /dev/null @@ -1,109 +0,0 @@ - -A list of distributional parameters by model type — params_by_type • flocker - - -
    -
    - - - -
    -
    - - -
    -

    A list of distributional parameters by model type

    -
    - -
    -
    params_by_type
    -
    - -
    -

    Format

    -

    An object of class list of length 7.

    -
    -
    -

    Value

    - - -

    A list of distributional parameters by model type

    -
    - -
    - -
    - - -
    - -
    -

    Site built with pkgdown 2.0.7.

    -
    - -
    - - - - - - - - diff --git a/docs/reference/predict_flocker.html b/docs/reference/predict_flocker.html deleted file mode 100644 index dd3c0ca..0000000 --- a/docs/reference/predict_flocker.html +++ /dev/null @@ -1,174 +0,0 @@ - -Get posterior predictions from a flocker model — predict_flocker • flocker - - -
    -
    - - - -
    -
    - - -
    -

    Get posterior predictions from a flocker model

    -
    - -
    -
    predict_flocker(
    -  flocker_fit,
    -  draw_ids = NULL,
    -  history_condition = FALSE,
    -  new_data = NULL,
    -  mixed = FALSE,
    -  allow_new_levels = FALSE,
    -  sample_new_levels = "uncertainty"
    -)
    -
    - -
    -

    Arguments

    -
    flocker_fit
    -

    A `flocker_fit` object

    - - -
    draw_ids
    -

    Vector of indices of the posterior draws to be -used. If `NULL` (the default) all draws are used in their native order.

    - - -
    history_condition
    -

    Logical indicator of whether to directly condition the -posterior for the occupancy state on the observed detection histories. -For example, at sites with at least one detection, the true occupancy -state conditioned on the history is one with absolute certainty. Without -directly conditioning on the history, the occupancy state is controlled -exclusively by the posterior distribution for the occupancy probability -psi.

    - - -
    new_data
    -

    Optional new data at which to predict. If `NULL`, predictions -are given at the data points used for model fitting ("retrodictions")

    - - -
    mixed
    -

    When `new_data` is not provided, should random effect levels be -drawn from their posteriors (`FALSE`, the default) or re-sampled from -their fitted hyperparameters (`TRUE`). The latter can be useful for mixed -predictive checking. Note that setting to TRUE is not available for -grouping terms involved in phylogenetic random effects or other random -effects with specified covariance structures.

    - - -
    allow_new_levels
    -

    Should new_data be allowed to contain new levels for -random effects?

    - - -
    sample_new_levels
    -

    If new_data is provided and contains random effect -levels not present in the original data, how should predictions be -handled? Passed directly to brms::prepare_predictions, which see.

    - -
    -
    -

    Value

    - - -

    An array of posterior predictions. For a single-season rep-varying - model, a 3-dimensional array where the first dimension is the closure-unit, - the second dimension is the rep, the third dimension is the iteration, - and the value is 1, 0, or NA indicating detection, non-detection, or - non-existence of the sampling event.

    -
    - -
    -

    Examples

    -
    if (FALSE) {
    -unconditioned_preds <- predict_flocker(example_flocker_model_single)
    -conditioned_preds <- predict_flocker(
    - example_flocker_model_single, 
    - history_condition = TRUE
    -)
    -}
    -
    -
    -
    - -
    - - -
    - -
    -

    Site built with pkgdown 2.0.7.

    -
    - -
    - - - - - - - - diff --git a/docs/reference/remove_rownames.html b/docs/reference/remove_rownames.html deleted file mode 100644 index 79f47e7..0000000 --- a/docs/reference/remove_rownames.html +++ /dev/null @@ -1,111 +0,0 @@ - -remove rownames — remove_rownames • flocker - - -
    -
    - - - -
    -
    - - -
    -

    remove rownames

    -
    - -
    -
    remove_rownames(m)
    -
    - -
    -

    Arguments

    -
    m
    -

    object whose rownames to remove

    - -
    -
    -

    Value

    - - -

    m with rownames removed

    -
    - -
    - -
    - - -
    - -
    -

    Site built with pkgdown 2.0.7.

    -
    - -
    - - - - - - - - diff --git a/docs/reference/rep_constant_types.html b/docs/reference/rep_constant_types.html deleted file mode 100644 index bd57268..0000000 --- a/docs/reference/rep_constant_types.html +++ /dev/null @@ -1,105 +0,0 @@ - -flocker_data_output_types that yield rep-constant models — rep_constant_types • flocker - - -
    -
    - - - -
    -
    - - -
    -

    flocker_data_output_types that yield rep-constant models

    -
    - -
    -
    rep_constant_types()
    -
    - -
    -

    Value

    - - -

    character vector of data output types

    -
    - -
    - -
    - - -
    - -
    -

    Site built with pkgdown 2.0.7.

    -
    - -
    - - - - - - - - diff --git a/docs/reference/reshape_fun.html b/docs/reference/reshape_fun.html deleted file mode 100644 index 73573ef..0000000 --- a/docs/reference/reshape_fun.html +++ /dev/null @@ -1,109 +0,0 @@ - -reshape a matrix of values into a stack of arrays via get_positions — reshape_fun • flocker - - -
    -
    - - - -
    -
    - - -
    -

    reshape a matrix of values into a stack of arrays via get_positions

    -
    - -
    -
    reshape_fun(x, gp)
    -
    - -
    -

    Arguments

    -
    x
    -

    input_matrix

    - - -
    gp
    -

    output of get_positions

    - -
    - -
    - -
    - - -
    - -
    -

    Site built with pkgdown 2.0.7.

    -
    - -
    - - - - - - - - diff --git a/docs/reference/sfd.html b/docs/reference/sfd.html deleted file mode 100644 index bc0d01a..0000000 --- a/docs/reference/sfd.html +++ /dev/null @@ -1,6022 +0,0 @@ - -util for creating example data — sfd • flocker - - -
    -
    - - - -
    -
    - - -
    -

    Data will be simulated with one unit covariate that affects all -relevant terms, one event covariate that affects detection (unless -`rep_constant` is `TRUE`), and one grouping factor representing species -with correlated effects on all terms.

    -
    - -
    -
    sfd(
    -  n_rep,
    -  n_pt,
    -  n_sp,
    -  n_season,
    -  multiseason,
    -  multi_init,
    -  augmented,
    -  rep_constant,
    -  params,
    -  covariates,
    -  ragged_rep,
    -  missing_seasons
    -)
    -
    - -
    -

    Arguments

    -
    n_rep
    -

    number of replicate visits to simulate per closure unit

    - - -
    n_pt
    -

    number of points to simulate. The number of units for single- -season models will be `n_pt*n_sp`. The number of units for multi-season -models will be `n_pt*n_sp*n_season`.

    - - -
    n_sp
    -

    number of levels to include in random effect. For compatibility -with multispecies models where the random effect represents species, -the data get expanded such that there's a row (closure-unit) for each -combination of sampling point and effect level (i.e. species)

    - - -
    n_season
    -

    Number of seasons desired. 1 yields data for a single-season -model; all other positive integers yield data for multiseason models.

    - - -
    multiseason
    -

    if n_season is NULL, must be NULL. Otherwise, one of -"colex" or "autologistic".

    - - -
    multi_init
    -

    if n_season is NULL, must be NULL. Otherwise, one of -"explicit" or "equilibrium".

    - - -
    augmented
    -

    logical. If `TRUE` data will be formatted for an augmented -model, which requires that `n_season == 1`. All never-observed -species will be trimmed out of the data, and the default parameters will be -modified to increase random effect variances for the detection and occupancy, -intercepts and to decrease random effect variances for detection slopes, thus -encouraging the existence of never-observed species. Furthermore, the data will -be simulated without any covariate influence on occupancy.

    - - -
    rep_constant
    -

    logical: create data with unit covariates only (TRUE) -or data that includes event covariates (FALSE)

    - - -
    params
    -

    a named list containing of parameter values to use in simulation. -Any required parameters whose names are not in this list will be assigned their -default values. To see the parameter names and structures required, run with -`params = NULL` (the default) and examine the `$params` element of the output.

    - - -
    covariates
    -

    a dataframe of covariate values to use in simulation, or -NULL to simulate values. To see the covariate names and structures required, -run with `covariates = NULL` (the default) and examine the `$covariates` element -of the output.

    - - -
    ragged_rep
    -

    logical: create data with variable (TRUE) or constant -(FALSE) numbers of visits per unit. If TRUE, approximately half of units -will be missing approximately half of `n_rep` visits. Intended primarily for -development purposes (bug-checking models with missing data).

    - - -
    missing_seasons
    -

    logical; relevant only if n_season is greater than 1. -create data with variable (TRUE) or constant (FALSE) numbers of seasons per -series (TRUE). If TRUE, approximately half of series will be missing their -even-numbered seasons.

    - -
    -
    -

    Value

    - - -

    A named list with the observation matrix/array ($obs), the unit covariate - dataframe(s) ($unit_covs), the event covariate list ($event_covs), the parameters - used in simulation ($params) and the covariate list used in simulation ($covariates). - If rep_constant is TRUE, then $event_covs will be NULL.

    -
    - -
    -

    Examples

    -
    simulate_flocker_data()
    -#> $obs
    -#>         [,1] [,2] [,3] [,4]
    -#>    [1,]    0    0    0    0
    -#>    [2,]    0    0    0    0
    -#>    [3,]    1    1    1    0
    -#>    [4,]    1    1    1    1
    -#>    [5,]    0    0    0    0
    -#>    [6,]    0    0    0    0
    -#>    [7,]    1    1    1    1
    -#>    [8,]    1    1    1    0
    -#>    [9,]    0    0    0    0
    -#>   [10,]    0    0    0    0
    -#>   [11,]    0    0    0    0
    -#>   [12,]    0    0    0    0
    -#>   [13,]    0    0    0    0
    -#>   [14,]    0    0    0    0
    -#>   [15,]    0    0    0    0
    -#>   [16,]    0    0    0    0
    -#>   [17,]    0    0    0    0
    -#>   [18,]    0    0    0    0
    -#>   [19,]    1    1    0    1
    -#>   [20,]    1    1    1    1
    -#>   [21,]    0    0    0    0
    -#>   [22,]    0    0    0    0
    -#>   [23,]    0    1    1    1
    -#>   [24,]    0    0    0    0
    -#>   [25,]    0    0    0    0
    -#>   [26,]    1    1    0    0
    -#>   [27,]    0    0    0    0
    -#>   [28,]    0    0    0    0
    -#>   [29,]    0    0    0    0
    -#>   [30,]    0    0    0    0
    -#>   [31,]    0    0    0    0
    -#>   [32,]    1    1    1    1
    -#>   [33,]    1    1    1    0
    -#>   [34,]    1    1    1    1
    -#>   [35,]    0    1    1    0
    -#>   [36,]    0    1    1    1
    -#>   [37,]    0    0    0    0
    -#>   [38,]    0    0    0    0
    -#>   [39,]    1    1    1    1
    -#>   [40,]    0    0    0    0
    -#>   [41,]    0    1    0    0
    -#>   [42,]    1    0    1    0
    -#>   [43,]    0    1    1    1
    -#>   [44,]    0    0    0    0
    -#>   [45,]    0    0    0    1
    -#>   [46,]    0    0    0    0
    -#>   [47,]    0    0    0    0
    -#>   [48,]    0    0    0    0
    -#>   [49,]    0    0    0    0
    -#>   [50,]    0    0    0    0
    -#>   [51,]    0    1    0    1
    -#>   [52,]    1    1    0    0
    -#>   [53,]    1    0    0    0
    -#>   [54,]    0    0    0    0
    -#>   [55,]    1    0    1    0
    -#>   [56,]    0    1    0    0
    -#>   [57,]    0    0    0    0
    -#>   [58,]    0    1    0    1
    -#>   [59,]    0    0    0    0
    -#>   [60,]    0    0    1    0
    -#>   [61,]    0    1    1    0
    -#>   [62,]    0    0    0    0
    -#>   [63,]    0    0    0    0
    -#>   [64,]    1    1    1    1
    -#>   [65,]    0    0    0    0
    -#>   [66,]    0    0    0    0
    -#>   [67,]    0    0    0    0
    -#>   [68,]    0    1    0    1
    -#>   [69,]    0    0    1    0
    -#>   [70,]    0    0    0    0
    -#>   [71,]    0    0    0    0
    -#>   [72,]    0    0    0    0
    -#>   [73,]    0    1    0    1
    -#>   [74,]    1    1    1    1
    -#>   [75,]    0    1    0    1
    -#>   [76,]    0    0    0    0
    -#>   [77,]    0    0    1    0
    -#>   [78,]    0    0    0    0
    -#>   [79,]    0    0    1    0
    -#>   [80,]    0    0    0    0
    -#>   [81,]    0    1    0    0
    -#>   [82,]    1    0    1    1
    -#>   [83,]    0    0    0    1
    -#>   [84,]    0    0    0    0
    -#>   [85,]    0    0    1    0
    -#>   [86,]    0    0    0    0
    -#>   [87,]    1    1    0    1
    -#>   [88,]    0    0    0    0
    -#>   [89,]    0    0    0    0
    -#>   [90,]    0    0    0    0
    -#>   [91,]    0    1    1    0
    -#>   [92,]    1    0    0    1
    -#>   [93,]    0    1    0    0
    -#>   [94,]    0    0    0    0
    -#>   [95,]    0    1    1    0
    -#>   [96,]    0    0    0    0
    -#>   [97,]    1    0    1    1
    -#>   [98,]    0    0    0    0
    -#>   [99,]    0    0    0    1
    -#>  [100,]    0    0    0    0
    -#>  [101,]    0    0    0    0
    -#>  [102,]    0    0    0    0
    -#>  [103,]    0    0    0    0
    -#>  [104,]    0    0    0    0
    -#>  [105,]    0    0    0    0
    -#>  [106,]    0    0    0    0
    -#>  [107,]    0    0    0    0
    -#>  [108,]    0    0    0    0
    -#>  [109,]    0    0    0    0
    -#>  [110,]    0    0    0    0
    -#>  [111,]    0    0    0    0
    -#>  [112,]    0    0    0    0
    -#>  [113,]    0    0    0    0
    -#>  [114,]    0    0    0    0
    -#>  [115,]    0    0    0    0
    -#>  [116,]    0    0    1    0
    -#>  [117,]    0    0    0    0
    -#>  [118,]    1    0    0    0
    -#>  [119,]    0    0    0    0
    -#>  [120,]    0    0    0    0
    -#>  [121,]    0    0    0    0
    -#>  [122,]    0    0    0    0
    -#>  [123,]    0    0    0    0
    -#>  [124,]    0    0    0    0
    -#>  [125,]    0    0    0    0
    -#>  [126,]    1    0    0    1
    -#>  [127,]    0    0    0    0
    -#>  [128,]    0    0    0    0
    -#>  [129,]    0    0    0    0
    -#>  [130,]    0    0    0    0
    -#>  [131,]    0    0    0    0
    -#>  [132,]    0    0    0    0
    -#>  [133,]    0    0    0    1
    -#>  [134,]    0    0    0    0
    -#>  [135,]    0    0    0    0
    -#>  [136,]    0    0    0    0
    -#>  [137,]    0    0    0    0
    -#>  [138,]    0    0    0    0
    -#>  [139,]    0    0    0    0
    -#>  [140,]    0    0    0    1
    -#>  [141,]    0    0    0    0
    -#>  [142,]    0    0    0    0
    -#>  [143,]    0    0    0    0
    -#>  [144,]    0    0    0    0
    -#>  [145,]    0    0    0    0
    -#>  [146,]    0    0    0    0
    -#>  [147,]    0    0    0    0
    -#>  [148,]    1    0    0    0
    -#>  [149,]    0    0    0    0
    -#>  [150,]    0    0    0    0
    -#>  [151,]    0    1    0    1
    -#>  [152,]    0    0    0    0
    -#>  [153,]    1    0    1    0
    -#>  [154,]    0    0    0    0
    -#>  [155,]    0    0    0    0
    -#>  [156,]    0    1    0    0
    -#>  [157,]    0    0    0    1
    -#>  [158,]    0    0    1    0
    -#>  [159,]    0    0    1    0
    -#>  [160,]    0    0    0    0
    -#>  [161,]    0    0    0    0
    -#>  [162,]    1    1    0    0
    -#>  [163,]    0    0    0    0
    -#>  [164,]    1    0    1    0
    -#>  [165,]    1    1    1    1
    -#>  [166,]    0    0    0    0
    -#>  [167,]    0    1    1    0
    -#>  [168,]    0    0    0    0
    -#>  [169,]    1    0    0    0
    -#>  [170,]    0    1    1    1
    -#>  [171,]    1    0    1    1
    -#>  [172,]    0    0    0    0
    -#>  [173,]    0    0    0    0
    -#>  [174,]    0    0    1    0
    -#>  [175,]    0    0    0    0
    -#>  [176,]    0    0    0    1
    -#>  [177,]    0    1    0    0
    -#>  [178,]    0    0    1    0
    -#>  [179,]    1    1    0    0
    -#>  [180,]    0    0    0    0
    -#>  [181,]    0    0    0    1
    -#>  [182,]    1    0    0    0
    -#>  [183,]    0    0    0    0
    -#>  [184,]    0    0    0    0
    -#>  [185,]    0    1    1    0
    -#>  [186,]    0    0    0    0
    -#>  [187,]    0    0    0    0
    -#>  [188,]    0    0    0    0
    -#>  [189,]    0    1    0    1
    -#>  [190,]    0    0    0    0
    -#>  [191,]    0    0    0    0
    -#>  [192,]    0    1    0    0
    -#>  [193,]    0    0    0    0
    -#>  [194,]    0    0    0    1
    -#>  [195,]    0    0    0    0
    -#>  [196,]    0    0    1    1
    -#>  [197,]    0    0    0    0
    -#>  [198,]    0    0    0    0
    -#>  [199,]    0    1    1    1
    -#>  [200,]    0    0    0    0
    -#>  [201,]    0    0    0    0
    -#>  [202,]    0    0    0    0
    -#>  [203,]    0    0    0    0
    -#>  [204,]    0    0    0    0
    -#>  [205,]    0    0    0    0
    -#>  [206,]    0    0    0    0
    -#>  [207,]    0    1    1    1
    -#>  [208,]    0    0    0    0
    -#>  [209,]    0    0    0    0
    -#>  [210,]    0    0    0    0
    -#>  [211,]    0    0    0    0
    -#>  [212,]    0    0    0    0
    -#>  [213,]    0    0    0    0
    -#>  [214,]    0    0    0    0
    -#>  [215,]    0    1    1    1
    -#>  [216,]    0    0    0    0
    -#>  [217,]    0    0    0    0
    -#>  [218,]    0    0    0    0
    -#>  [219,]    0    0    0    0
    -#>  [220,]    0    0    0    0
    -#>  [221,]    0    1    1    1
    -#>  [222,]    0    0    0    0
    -#>  [223,]    0    0    0    0
    -#>  [224,]    0    0    0    0
    -#>  [225,]    0    0    0    0
    -#>  [226,]    0    0    0    0
    -#>  [227,]    0    0    1    0
    -#>  [228,]    0    0    0    0
    -#>  [229,]    1    1    1    1
    -#>  [230,]    1    0    1    1
    -#>  [231,]    1    1    1    1
    -#>  [232,]    0    0    0    0
    -#>  [233,]    0    0    0    0
    -#>  [234,]    0    0    0    0
    -#>  [235,]    0    0    0    0
    -#>  [236,]    0    0    0    0
    -#>  [237,]    1    1    1    0
    -#>  [238,]    0    0    0    0
    -#>  [239,]    0    0    0    0
    -#>  [240,]    0    0    0    0
    -#>  [241,]    1    1    1    1
    -#>  [242,]    1    1    1    1
    -#>  [243,]    1    1    1    1
    -#>  [244,]    1    0    0    0
    -#>  [245,]    0    0    0    0
    -#>  [246,]    1    0    1    1
    -#>  [247,]    0    0    0    0
    -#>  [248,]    0    0    0    0
    -#>  [249,]    0    0    0    0
    -#>  [250,]    0    0    0    0
    -#>  [251,]    0    0    0    0
    -#>  [252,]    0    0    0    0
    -#>  [253,]    0    0    0    0
    -#>  [254,]    1    0    1    0
    -#>  [255,]    0    0    0    0
    -#>  [256,]    0    0    0    0
    -#>  [257,]    0    0    0    0
    -#>  [258,]    0    1    0    0
    -#>  [259,]    0    0    0    0
    -#>  [260,]    0    0    0    0
    -#>  [261,]    0    0    0    0
    -#>  [262,]    0    0    0    0
    -#>  [263,]    0    0    0    0
    -#>  [264,]    0    0    0    0
    -#>  [265,]    0    0    0    0
    -#>  [266,]    0    0    0    0
    -#>  [267,]    0    0    0    0
    -#>  [268,]    0    1    0    1
    -#>  [269,]    0    0    0    0
    -#>  [270,]    0    0    0    0
    -#>  [271,]    0    0    0    0
    -#>  [272,]    0    0    0    0
    -#>  [273,]    0    0    0    0
    -#>  [274,]    0    0    0    0
    -#>  [275,]    0    0    0    0
    -#>  [276,]    0    0    0    0
    -#>  [277,]    0    0    0    0
    -#>  [278,]    0    0    0    0
    -#>  [279,]    0    0    0    0
    -#>  [280,]    0    0    0    0
    -#>  [281,]    0    0    0    0
    -#>  [282,]    0    0    0    0
    -#>  [283,]    0    0    0    0
    -#>  [284,]    0    0    1    1
    -#>  [285,]    0    0    0    0
    -#>  [286,]    0    0    0    1
    -#>  [287,]    0    0    0    0
    -#>  [288,]    0    0    0    0
    -#>  [289,]    0    0    0    0
    -#>  [290,]    0    0    0    0
    -#>  [291,]    0    0    0    0
    -#>  [292,]    0    0    1    0
    -#>  [293,]    0    0    0    0
    -#>  [294,]    1    1    0    0
    -#>  [295,]    0    1    1    0
    -#>  [296,]    0    0    0    0
    -#>  [297,]    0    0    0    0
    -#>  [298,]    0    0    0    0
    -#>  [299,]    0    0    0    0
    -#>  [300,]    0    1    1    0
    -#>  [301,]    0    0    0    0
    -#>  [302,]    0    0    0    0
    -#>  [303,]    0    0    0    0
    -#>  [304,]    0    0    0    0
    -#>  [305,]    0    1    0    1
    -#>  [306,]    0    0    0    0
    -#>  [307,]    0    0    0    0
    -#>  [308,]    0    1    1    0
    -#>  [309,]    0    0    0    0
    -#>  [310,]    0    1    1    0
    -#>  [311,]    0    0    0    0
    -#>  [312,]    1    0    0    1
    -#>  [313,]    0    0    0    0
    -#>  [314,]    0    0    0    0
    -#>  [315,]    0    0    0    0
    -#>  [316,]    1    1    0    1
    -#>  [317,]    0    0    0    0
    -#>  [318,]    0    0    0    0
    -#>  [319,]    0    0    0    0
    -#>  [320,]    1    0    1    0
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    -#> [1173,]    0    0    1    0
    -#> [1174,]    1    1    1    1
    -#> [1175,]    0    0    0    0
    -#> [1176,]    0    1    0    0
    -#> [1177,]    0    0    0    0
    -#> [1178,]    1    1    1    0
    -#> [1179,]    0    1    1    0
    -#> [1180,]    1    1    0    0
    -#> [1181,]    0    0    0    0
    -#> [1182,]    0    1    1    1
    -#> [1183,]    0    0    0    0
    -#> [1184,]    0    0    0    0
    -#> [1185,]    0    0    0    0
    -#> [1186,]    0    0    0    0
    -#> [1187,]    0    0    0    1
    -#> [1188,]    0    1    1    1
    -#> [1189,]    1    0    0    0
    -#> [1190,]    0    0    0    0
    -#> [1191,]    0    0    0    0
    -#> [1192,]    0    0    0    0
    -#> [1193,]    1    1    0    1
    -#> [1194,]    0    0    0    1
    -#> [1195,]    0    0    0    0
    -#> [1196,]    1    1    0    0
    -#> [1197,]    0    1    1    1
    -#> [1198,]    0    0    0    0
    -#> [1199,]    0    0    0    0
    -#> [1200,]    0    0    0    0
    -#> [1201,]    0    0    0    0
    -#> [1202,]    1    0    1    1
    -#> [1203,]    0    0    0    0
    -#> [1204,]    0    0    0    0
    -#> [1205,]    0    0    0    0
    -#> [1206,]    0    0    0    0
    -#> [1207,]    1    0    1    0
    -#> [1208,]    1    0    1    0
    -#> [1209,]    0    1    0    0
    -#> [1210,]    0    0    0    1
    -#> [1211,]    0    1    0    0
    -#> [1212,]    0    0    0    0
    -#> [1213,]    0    0    0    0
    -#> [1214,]    1    1    1    1
    -#> [1215,]    1    0    0    0
    -#> [1216,]    0    0    0    0
    -#> [1217,]    1    0    0    1
    -#> [1218,]    0    0    0    0
    -#> [1219,]    0    0    0    0
    -#> [1220,]    1    0    0    0
    -#> [1221,]    0    0    0    0
    -#> [1222,]    0    0    0    1
    -#> [1223,]    0    0    0    0
    -#> [1224,]    1    1    1    1
    -#> [1225,]    0    1    1    0
    -#> [1226,]    0    1    0    0
    -#> [1227,]    1    1    0    1
    -#> [1228,]    1    0    0    1
    -#> [1229,]    0    1    0    0
    -#> [1230,]    1    1    0    1
    -#> [1231,]    0    0    0    0
    -#> [1232,]    1    0    1    1
    -#> [1233,]    0    0    0    0
    -#> [1234,]    0    0    0    0
    -#> [1235,]    0    0    0    0
    -#> [1236,]    1    0    0    0
    -#> [1237,]    0    1    1    1
    -#> [1238,]    0    1    0    1
    -#> [1239,]    0    0    1    0
    -#> [1240,]    0    0    1    1
    -#> [1241,]    0    0    0    0
    -#> [1242,]    1    0    0    0
    -#> [1243,]    1    0    0    0
    -#> [1244,]    0    0    0    0
    -#> [1245,]    0    0    0    0
    -#> [1246,]    0    1    1    0
    -#> [1247,]    1    1    1    0
    -#> [1248,]    0    0    0    0
    -#> [1249,]    1    0    0    0
    -#> [1250,]    0    0    0    0
    -#> [1251,]    1    0    1    1
    -#> [1252,]    0    0    0    0
    -#> [1253,]    1    1    1    1
    -#> [1254,]    0    0    0    0
    -#> [1255,]    0    0    0    0
    -#> [1256,]    0    1    1    1
    -#> [1257,]    1    1    1    0
    -#> [1258,]    0    0    0    0
    -#> [1259,]    0    1    1    1
    -#> [1260,]    0    0    1    1
    -#> [1261,]    1    1    1    1
    -#> [1262,]    0    0    0    0
    -#> [1263,]    0    0    0    0
    -#> [1264,]    1    1    1    1
    -#> [1265,]    0    0    0    0
    -#> [1266,]    1    0    0    1
    -#> [1267,]    1    1    1    1
    -#> [1268,]    0    0    0    0
    -#> [1269,]    1    1    1    1
    -#> [1270,]    0    0    0    0
    -#> [1271,]    0    0    0    1
    -#> [1272,]    0    0    0    1
    -#> [1273,]    0    1    0    0
    -#> [1274,]    1    1    0    1
    -#> [1275,]    0    0    0    0
    -#> [1276,]    0    0    0    0
    -#> [1277,]    0    0    0    0
    -#> [1278,]    1    1    1    1
    -#> [1279,]    1    1    0    0
    -#> [1280,]    0    0    0    0
    -#> [1281,]    0    0    0    0
    -#> [1282,]    1    1    1    1
    -#> [1283,]    0    0    0    0
    -#> [1284,]    0    0    0    0
    -#> [1285,]    0    0    0    0
    -#> [1286,]    0    0    0    0
    -#> [1287,]    1    1    1    1
    -#> [1288,]    1    1    1    0
    -#> [1289,]    1    1    1    1
    -#> [1290,]    0    0    0    0
    -#> [1291,]    0    0    0    0
    -#> [1292,]    0    0    0    0
    -#> [1293,]    1    1    1    1
    -#> [1294,]    1    0    1    1
    -#> [1295,]    0    0    0    0
    -#> [1296,]    1    1    1    1
    -#> [1297,]    0    1    1    1
    -#> [1298,]    0    0    0    0
    -#> [1299,]    0    0    0    0
    -#> [1300,]    0    0    0    0
    -#> [1301,]    0    0    0    0
    -#> [1302,]    0    0    0    0
    -#> [1303,]    0    0    0    0
    -#> [1304,]    0    0    0    1
    -#> [1305,]    0    1    0    1
    -#> [1306,]    0    0    0    1
    -#> [1307,]    0    0    0    0
    -#> [1308,]    0    0    0    0
    -#> [1309,]    0    0    0    0
    -#> [1310,]    0    0    0    1
    -#> [1311,]    0    0    0    0
    -#> [1312,]    0    0    0    1
    -#> [1313,]    0    0    0    0
    -#> [1314,]    0    0    0    0
    -#> [1315,]    0    0    0    0
    -#> [1316,]    0    0    0    0
    -#> [1317,]    0    1    0    0
    -#> [1318,]    1    0    0    0
    -#> [1319,]    0    0    0    0
    -#> [1320,]    0    0    1    0
    -#> [1321,]    0    1    1    1
    -#> [1322,]    0    0    0    0
    -#> [1323,]    1    0    0    0
    -#> [1324,]    0    0    0    0
    -#> [1325,]    0    0    0    0
    -#> [1326,]    0    1    1    0
    -#> [1327,]    1    0    0    0
    -#> [1328,]    0    0    0    0
    -#> [1329,]    0    0    0    0
    -#> [1330,]    0    0    0    0
    -#> [1331,]    0    0    0    0
    -#> [1332,]    0    0    0    0
    -#> [1333,]    1    0    0    0
    -#> [1334,]    1    0    0    1
    -#> [1335,]    0    0    1    0
    -#> [1336,]    0    0    1    0
    -#> [1337,]    0    0    0    0
    -#> [1338,]    1    0    0    1
    -#> [1339,]    0    0    0    0
    -#> [1340,]    1    1    0    0
    -#> [1341,]    0    0    0    0
    -#> [1342,]    0    0    0    0
    -#> [1343,]    0    0    0    0
    -#> [1344,]    0    1    0    0
    -#> [1345,]    0    0    1    1
    -#> [1346,]    0    0    0    0
    -#> [1347,]    0    0    0    0
    -#> [1348,]    1    1    1    0
    -#> [1349,]    0    0    0    1
    -#> [1350,]    0    0    1    0
    -#> [1351,]    0    0    0    0
    -#> [1352,]    0    0    0    0
    -#> [1353,]    0    1    1    0
    -#> [1354,]    1    1    1    0
    -#> [1355,]    1    0    1    1
    -#> [1356,]    0    0    0    0
    -#> [1357,]    1    0    0    0
    -#> [1358,]    0    0    1    0
    -#> [1359,]    0    0    0    0
    -#> [1360,]    0    0    0    0
    -#> [1361,]    0    1    0    1
    -#> [1362,]    1    1    1    1
    -#> [1363,]    0    0    0    0
    -#> [1364,]    0    0    0    0
    -#> [1365,]    0    0    0    0
    -#> [1366,]    1    1    0    1
    -#> [1367,]    1    0    0    0
    -#> [1368,]    1    1    1    0
    -#> [1369,]    0    0    0    0
    -#> [1370,]    0    0    0    0
    -#> [1371,]    0    0    0    0
    -#> [1372,]    0    0    0    0
    -#> [1373,]    0    0    0    0
    -#> [1374,]    0    0    0    0
    -#> [1375,]    0    0    0    0
    -#> [1376,]    0    0    0    0
    -#> [1377,]    0    0    0    0
    -#> [1378,]    0    0    0    0
    -#> [1379,]    1    1    1    1
    -#> [1380,]    1    1    1    1
    -#> [1381,]    0    0    0    0
    -#> [1382,]    1    0    0    1
    -#> [1383,]    1    0    1    1
    -#> [1384,]    0    0    0    0
    -#> [1385,]    0    0    0    0
    -#> [1386,]    0    1    1    1
    -#> [1387,]    0    0    0    0
    -#> [1388,]    0    0    0    0
    -#> [1389,]    0    0    1    1
    -#> [1390,]    0    0    0    0
    -#> [1391,]    0    0    0    0
    -#> [1392,]    1    0    1    1
    -#> [1393,]    0    1    1    0
    -#> [1394,]    0    0    0    0
    -#> [1395,]    1    1    0    1
    -#> [1396,]    0    0    1    0
    -#> [1397,]    0    1    1    0
    -#> [1398,]    0    0    0    0
    -#> [1399,]    0    1    1    1
    -#> [1400,]    0    1    1    1
    -#> [1401,]    1    1    1    1
    -#> [1402,]    1    1    1    1
    -#> [1403,]    1    1    1    1
    -#> [1404,]    0    0    0    0
    -#> [1405,]    0    0    0    0
    -#> [1406,]    1    0    1    1
    -#> [1407,]    1    1    1    1
    -#> [1408,]    0    0    0    0
    -#> [1409,]    1    1    1    0
    -#> [1410,]    1    1    1    1
    -#> [1411,]    1    1    1    1
    -#> [1412,]    0    0    0    0
    -#> [1413,]    0    0    0    0
    -#> [1414,]    1    1    1    1
    -#> [1415,]    1    0    1    1
    -#> [1416,]    0    0    0    0
    -#> [1417,]    0    0    0    0
    -#> [1418,]    0    0    0    0
    -#> [1419,]    1    1    1    1
    -#> [1420,]    1    1    1    1
    -#> [1421,]    1    1    1    1
    -#> [1422,]    1    1    0    1
    -#> [1423,]    0    0    0    0
    -#> [1424,]    1    1    1    1
    -#> [1425,]    1    1    1    1
    -#> [1426,]    0    0    0    0
    -#> [1427,]    0    0    0    0
    -#> [1428,]    0    0    0    0
    -#> [1429,]    1    1    1    0
    -#> [1430,]    0    0    0    0
    -#> [1431,]    0    0    0    0
    -#> [1432,]    1    1    1    1
    -#> [1433,]    1    1    1    1
    -#> [1434,]    0    0    0    0
    -#> [1435,]    1    0    1    1
    -#> [1436,]    0    0    0    0
    -#> [1437,]    0    1    1    1
    -#> [1438,]    0    0    0    0
    -#> [1439,]    1    1    1    1
    -#> [1440,]    0    0    0    0
    -#> [1441,]    0    1    1    1
    -#> [1442,]    1    1    1    1
    -#> [1443,]    0    0    0    0
    -#> [1444,]    1    1    1    1
    -#> [1445,]    1    1    1    1
    -#> [1446,]    1    1    1    1
    -#> [1447,]    0    0    0    0
    -#> [1448,]    0    1    1    1
    -#> [1449,]    1    0    1    1
    -#> [1450,]    0    0    0    0
    -#> [1451,]    0    0    0    0
    -#> [1452,]    0    0    0    0
    -#> [1453,]    0    0    0    0
    -#> [1454,]    0    1    0    1
    -#> [1455,]    0    0    0    0
    -#> [1456,]    0    0    0    0
    -#> [1457,]    0    0    0    0
    -#> [1458,]    0    0    0    0
    -#> [1459,]    0    0    0    0
    -#> [1460,]    0    0    0    0
    -#> [1461,]    0    0    0    0
    -#> [1462,]    0    0    0    0
    -#> [1463,]    0    0    0    0
    -#> [1464,]    0    0    0    0
    -#> [1465,]    0    0    0    0
    -#> [1466,]    0    0    0    0
    -#> [1467,]    0    0    0    0
    -#> [1468,]    0    0    0    0
    -#> [1469,]    0    0    0    0
    -#> [1470,]    0    0    0    0
    -#> [1471,]    0    0    0    0
    -#> [1472,]    0    0    0    1
    -#> [1473,]    0    0    0    0
    -#> [1474,]    0    0    0    0
    -#> [1475,]    0    0    0    0
    -#> [1476,]    1    0    1    1
    -#> [1477,]    0    0    0    0
    -#> [1478,]    0    0    0    0
    -#> [1479,]    0    0    0    0
    -#> [1480,]    0    0    0    0
    -#> [1481,]    0    0    0    1
    -#> [1482,]    0    0    0    0
    -#> [1483,]    0    0    0    0
    -#> [1484,]    0    0    0    0
    -#> [1485,]    0    0    0    0
    -#> [1486,]    0    0    0    0
    -#> [1487,]    0    0    0    0
    -#> [1488,]    0    0    0    0
    -#> [1489,]    0    0    0    0
    -#> [1490,]    0    0    0    0
    -#> [1491,]    0    0    0    0
    -#> [1492,]    0    0    0    0
    -#> [1493,]    0    0    0    1
    -#> [1494,]    0    0    0    0
    -#> [1495,]    0    0    0    0
    -#> [1496,]    0    0    0    0
    -#> [1497,]    0    0    0    0
    -#> [1498,]    1    1    1    0
    -#> [1499,]    0    0    0    1
    -#> [1500,]    1    0    0    1
    -#> 
    -#> $unit_covs
    -#>              uc1 species
    -#> 1     0.78773885    sp_1
    -#> 2     0.76904224    sp_1
    -#> 3     0.33220258    sp_1
    -#> 4    -1.00837661    sp_1
    -#> 5    -0.11945261    sp_1
    -#> 6    -0.28039534    sp_1
    -#> 7     0.56298953    sp_1
    -#> 8    -0.37243876    sp_1
    -#> 9     0.97697339    sp_1
    -#> 10   -0.37458086    sp_1
    -#> 11    1.05271147    sp_1
    -#> 12   -1.04917701    sp_1
    -#> 13   -1.26015524    sp_1
    -#> 14    3.24103993    sp_1
    -#> 15   -0.41685759    sp_1
    -#> 16    0.29822759    sp_1
    -#> 17    0.63656967    sp_1
    -#> 18   -0.48378063    sp_1
    -#> 19    0.51686204    sp_1
    -#> 20    0.36896453    sp_1
    -#> 21   -0.21538051    sp_1
    -#> 22    0.06529303    sp_1
    -#> 23   -0.03406725    sp_1
    -#> 24    2.12845190    sp_1
    -#> 25   -0.74133610    sp_1
    -#> 26   -1.09599627    sp_1
    -#> 27    0.03778840    sp_1
    -#> 28    0.31048075    sp_1
    -#> 29    0.43652348    sp_1
    -#> 30   -0.45836533    sp_1
    -#> 31   -1.06332613    sp_1
    -#> 32    1.26318518    sp_1
    -#> 33   -0.34965039    sp_1
    -#> 34   -0.86551286    sp_1
    -#> 35   -0.23627957    sp_1
    -#> 36   -0.19717589    sp_1
    -#> 37    1.10992029    sp_1
    -#> 38    0.08473729    sp_1
    -#> 39    0.75405379    sp_1
    -#> 40   -0.49929202    sp_1
    -#> 41    0.21444531    sp_1
    -#> 42   -0.32468591    sp_1
    -#> 43    0.09458353    sp_1
    -#> 44   -0.89536336    sp_1
    -#> 45   -1.31080153    sp_1
    -#> 46    1.99721338    sp_1
    -#> 47    0.60070882    sp_1
    -#> 48   -1.25127136    sp_1
    -#> 49   -0.61116592    sp_1
    -#> 50   -1.18548008    sp_1
    -#> 51    0.78773885    sp_2
    -#> 52    0.76904224    sp_2
    -#> 53    0.33220258    sp_2
    -#> 54   -1.00837661    sp_2
    -#> 55   -0.11945261    sp_2
    -#> 56   -0.28039534    sp_2
    -#> 57    0.56298953    sp_2
    -#> 58   -0.37243876    sp_2
    -#> 59    0.97697339    sp_2
    -#> 60   -0.37458086    sp_2
    -#> 61    1.05271147    sp_2
    -#> 62   -1.04917701    sp_2
    -#> 63   -1.26015524    sp_2
    -#> 64    3.24103993    sp_2
    -#> 65   -0.41685759    sp_2
    -#> 66    0.29822759    sp_2
    -#> 67    0.63656967    sp_2
    -#> 68   -0.48378063    sp_2
    -#> 69    0.51686204    sp_2
    -#> 70    0.36896453    sp_2
    -#> 71   -0.21538051    sp_2
    -#> 72    0.06529303    sp_2
    -#> 73   -0.03406725    sp_2
    -#> 74    2.12845190    sp_2
    -#> 75   -0.74133610    sp_2
    -#> 76   -1.09599627    sp_2
    -#> 77    0.03778840    sp_2
    -#> 78    0.31048075    sp_2
    -#> 79    0.43652348    sp_2
    -#> 80   -0.45836533    sp_2
    -#> 81   -1.06332613    sp_2
    -#> 82    1.26318518    sp_2
    -#> 83   -0.34965039    sp_2
    -#> 84   -0.86551286    sp_2
    -#> 85   -0.23627957    sp_2
    -#> 86   -0.19717589    sp_2
    -#> 87    1.10992029    sp_2
    -#> 88    0.08473729    sp_2
    -#> 89    0.75405379    sp_2
    -#> 90   -0.49929202    sp_2
    -#> 91    0.21444531    sp_2
    -#> 92   -0.32468591    sp_2
    -#> 93    0.09458353    sp_2
    -#> 94   -0.89536336    sp_2
    -#> 95   -1.31080153    sp_2
    -#> 96    1.99721338    sp_2
    -#> 97    0.60070882    sp_2
    -#> 98   -1.25127136    sp_2
    -#> 99   -0.61116592    sp_2
    -#> 100  -1.18548008    sp_2
    -#> 101   0.78773885    sp_3
    -#> 102   0.76904224    sp_3
    -#> 103   0.33220258    sp_3
    -#> 104  -1.00837661    sp_3
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    -#> 1430 -0.45836533   sp_29
    -#> 1431 -1.06332613   sp_29
    -#> 1432  1.26318518   sp_29
    -#> 1433 -0.34965039   sp_29
    -#> 1434 -0.86551286   sp_29
    -#> 1435 -0.23627957   sp_29
    -#> 1436 -0.19717589   sp_29
    -#> 1437  1.10992029   sp_29
    -#> 1438  0.08473729   sp_29
    -#> 1439  0.75405379   sp_29
    -#> 1440 -0.49929202   sp_29
    -#> 1441  0.21444531   sp_29
    -#> 1442 -0.32468591   sp_29
    -#> 1443  0.09458353   sp_29
    -#> 1444 -0.89536336   sp_29
    -#> 1445 -1.31080153   sp_29
    -#> 1446  1.99721338   sp_29
    -#> 1447  0.60070882   sp_29
    -#> 1448 -1.25127136   sp_29
    -#> 1449 -0.61116592   sp_29
    -#> 1450 -1.18548008   sp_29
    -#> 1451  0.78773885   sp_30
    -#> 1452  0.76904224   sp_30
    -#> 1453  0.33220258   sp_30
    -#> 1454 -1.00837661   sp_30
    -#> 1455 -0.11945261   sp_30
    -#> 1456 -0.28039534   sp_30
    -#> 1457  0.56298953   sp_30
    -#> 1458 -0.37243876   sp_30
    -#> 1459  0.97697339   sp_30
    -#> 1460 -0.37458086   sp_30
    -#> 1461  1.05271147   sp_30
    -#> 1462 -1.04917701   sp_30
    -#> 1463 -1.26015524   sp_30
    -#> 1464  3.24103993   sp_30
    -#> 1465 -0.41685759   sp_30
    -#> 1466  0.29822759   sp_30
    -#> 1467  0.63656967   sp_30
    -#> 1468 -0.48378063   sp_30
    -#> 1469  0.51686204   sp_30
    -#> 1470  0.36896453   sp_30
    -#> 1471 -0.21538051   sp_30
    -#> 1472  0.06529303   sp_30
    -#> 1473 -0.03406725   sp_30
    -#> 1474  2.12845190   sp_30
    -#> 1475 -0.74133610   sp_30
    -#> 1476 -1.09599627   sp_30
    -#> 1477  0.03778840   sp_30
    -#> 1478  0.31048075   sp_30
    -#> 1479  0.43652348   sp_30
    -#> 1480 -0.45836533   sp_30
    -#> 1481 -1.06332613   sp_30
    -#> 1482  1.26318518   sp_30
    -#> 1483 -0.34965039   sp_30
    -#> 1484 -0.86551286   sp_30
    -#> 1485 -0.23627957   sp_30
    -#> 1486 -0.19717589   sp_30
    -#> 1487  1.10992029   sp_30
    -#> 1488  0.08473729   sp_30
    -#> 1489  0.75405379   sp_30
    -#> 1490 -0.49929202   sp_30
    -#> 1491  0.21444531   sp_30
    -#> 1492 -0.32468591   sp_30
    -#> 1493  0.09458353   sp_30
    -#> 1494 -0.89536336   sp_30
    -#> 1495 -1.31080153   sp_30
    -#> 1496  1.99721338   sp_30
    -#> 1497  0.60070882   sp_30
    -#> 1498 -1.25127136   sp_30
    -#> 1499 -0.61116592   sp_30
    -#> 1500 -1.18548008   sp_30
    -#> 
    -#> $event_covs
    -#> $event_covs$ec1
    -#>                [,1]        [,2]        [,3]        [,4]
    -#>    [1,]  0.67576242 -1.07420661  0.45457781 -0.21330714
    -#>    [2,]  0.93560368 -1.13689311  0.26691825  0.42833204
    -#>    [3,] -0.10555991 -0.73050967  1.90504358  0.33262173
    -#>    [4,]  1.39531344 -0.19070343 -0.52467120  3.18404447
    -#>    [5,]  0.49030264 -0.09616320  0.46852512 -0.98237064
    -#>    [6,] -1.02298384 -0.69341466 -0.76798957  1.29904997
    -#>    [7,]  1.57914556 -0.15689195 -0.35893656 -0.32903883
    -#>    [8,]  0.06923648  0.09690423  0.29003439 -0.74667894
    -#>    [9,] -0.84689639  1.19707766 -0.54862736  0.30304570
    -#>   [10,] -0.14126176 -1.00537758  0.15615571  0.23363361
    -#>   [11,]  0.35558761 -1.62185826  0.22071129  0.31045008
    -#>   [12,] -1.42110845  0.95536564  0.78417088  2.29961936
    -#>   [13,]  0.15670299  0.04673353  0.09658583  0.06976623
    -#>   [14,] -1.84847278 -1.67112706 -0.07753897 -0.58106738
    -#>   [15,]  0.05473653 -2.11120837 -1.49869825 -1.10148344
    -#>   [16,]  0.98605822 -1.09849001 -0.79951395  0.07987382
    -#>   [17,] -0.32274636  0.14641718  2.30506198 -1.12460367
    -#>   [18,] -0.30546964 -0.51675945  1.51239543 -0.76948492
    -#>   [19,] -0.08208690  0.78713361 -1.05859054  1.65517582
    -#>   [20,]  0.31322877 -0.08997520  1.07051604 -1.35110039
    -#>   [21,] -0.52261670 -0.24919068 -0.99579872 -1.03995504
    -#>   [22,] -0.01798024 -0.13217513 -2.54934277  1.04057346
    -#>   [23,]  0.24972574  2.41620737  0.68519824 -0.44695931
    -#>   [24,]  2.79739115  2.83222602 -1.21871182  0.46903196
    -#>   [25,] -0.21124692  0.18705115  0.22754273 -1.26190046
    -#>   [26,]  0.28558958  1.74924736 -0.16409000 -0.16292671
    -#>   [27,]  1.39857201  0.89839624 -1.64849482  0.22855697
    -#>   [28,]  1.65354723  1.41527635  0.41995160  0.72122081
    -#>   [29,] -1.19693521  0.30013157 -0.95444894 -0.45801807
    -#>   [30,]  0.05491197  1.82218882 -1.02234733  0.60613026
    -#>   [31,] -0.08893057 -0.26083224  0.46409123 -1.02040059
    -#>   [32,] -1.31345092 -0.49448088  1.75175715  0.05576477
    -#>   [33,]  0.33143440 -0.18984664  0.47049273 -0.95167954
    -#>   [34,]  1.15791047  0.58470526 -0.80645282  0.05455325
    -#>   [35,]  0.71633162  0.55773098  1.48193402 -0.61298775
    -#>   [36,]  1.11613662  1.03654801 -0.16248313 -0.97592669
    -#>   [37,] -1.08914519  0.45778696 -0.07112673  1.77910267
    -#>   [38,]  0.53513796 -0.37194488 -1.02554225 -0.58240167
    -#>   [39,]  0.34288839 -0.45093465  0.51423012 -0.33433805
    -#>   [40,]  0.23063364 -1.69186241  0.65979190 -1.02362359
    -#>   [41,] -0.89152157  0.91834117 -0.45270065 -1.74837228
    -#>   [42,]  1.76990411 -2.37740693  0.57281153  1.01724925
    -#>   [43,] -0.63096787  0.44428705  0.43913039  1.04062315
    -#>   [44,]  0.48409939 -0.24488378  0.91599206  0.80062236
    -#>   [45,] -0.93656903 -1.40078743  0.16027754 -0.27396237
    -#>   [46,] -0.98553911  0.08393068 -1.31999653  0.16122635
    -#>   [47,] -0.62492839  0.95716427  2.42448914 -0.91597924
    -#>   [48,]  1.05766417  0.82514973 -0.07019422 -0.45364637
    -#>   [49,]  1.57530771 -2.00545782 -0.64319479 -1.43684344
    -#>   [50,] -0.05003727 -0.44374931  0.29986525 -1.56842462
    -#>   [51,]  0.67576242 -1.07420661  0.45457781 -0.21330714
    -#>   [52,]  0.93560368 -1.13689311  0.26691825  0.42833204
    -#>   [53,] -0.10555991 -0.73050967  1.90504358  0.33262173
    -#>   [54,]  1.39531344 -0.19070343 -0.52467120  3.18404447
    -#>   [55,]  0.49030264 -0.09616320  0.46852512 -0.98237064
    -#>   [56,] -1.02298384 -0.69341466 -0.76798957  1.29904997
    -#>   [57,]  1.57914556 -0.15689195 -0.35893656 -0.32903883
    -#>   [58,]  0.06923648  0.09690423  0.29003439 -0.74667894
    -#>   [59,] -0.84689639  1.19707766 -0.54862736  0.30304570
    -#>   [60,] -0.14126176 -1.00537758  0.15615571  0.23363361
    -#>   [61,]  0.35558761 -1.62185826  0.22071129  0.31045008
    -#>   [62,] -1.42110845  0.95536564  0.78417088  2.29961936
    -#>   [63,]  0.15670299  0.04673353  0.09658583  0.06976623
    -#>   [64,] -1.84847278 -1.67112706 -0.07753897 -0.58106738
    -#>   [65,]  0.05473653 -2.11120837 -1.49869825 -1.10148344
    -#>   [66,]  0.98605822 -1.09849001 -0.79951395  0.07987382
    -#>   [67,] -0.32274636  0.14641718  2.30506198 -1.12460367
    -#>   [68,] -0.30546964 -0.51675945  1.51239543 -0.76948492
    -#>   [69,] -0.08208690  0.78713361 -1.05859054  1.65517582
    -#>   [70,]  0.31322877 -0.08997520  1.07051604 -1.35110039
    -#>   [71,] -0.52261670 -0.24919068 -0.99579872 -1.03995504
    -#>   [72,] -0.01798024 -0.13217513 -2.54934277  1.04057346
    -#>   [73,]  0.24972574  2.41620737  0.68519824 -0.44695931
    -#>   [74,]  2.79739115  2.83222602 -1.21871182  0.46903196
    -#>   [75,] -0.21124692  0.18705115  0.22754273 -1.26190046
    -#>   [76,]  0.28558958  1.74924736 -0.16409000 -0.16292671
    -#>   [77,]  1.39857201  0.89839624 -1.64849482  0.22855697
    -#>   [78,]  1.65354723  1.41527635  0.41995160  0.72122081
    -#>   [79,] -1.19693521  0.30013157 -0.95444894 -0.45801807
    -#>   [80,]  0.05491197  1.82218882 -1.02234733  0.60613026
    -#>   [81,] -0.08893057 -0.26083224  0.46409123 -1.02040059
    -#>   [82,] -1.31345092 -0.49448088  1.75175715  0.05576477
    -#>   [83,]  0.33143440 -0.18984664  0.47049273 -0.95167954
    -#>   [84,]  1.15791047  0.58470526 -0.80645282  0.05455325
    -#>   [85,]  0.71633162  0.55773098  1.48193402 -0.61298775
    -#>   [86,]  1.11613662  1.03654801 -0.16248313 -0.97592669
    -#>   [87,] -1.08914519  0.45778696 -0.07112673  1.77910267
    -#>   [88,]  0.53513796 -0.37194488 -1.02554225 -0.58240167
    -#>   [89,]  0.34288839 -0.45093465  0.51423012 -0.33433805
    -#>   [90,]  0.23063364 -1.69186241  0.65979190 -1.02362359
    -#>   [91,] -0.89152157  0.91834117 -0.45270065 -1.74837228
    -#>   [92,]  1.76990411 -2.37740693  0.57281153  1.01724925
    -#>   [93,] -0.63096787  0.44428705  0.43913039  1.04062315
    -#>   [94,]  0.48409939 -0.24488378  0.91599206  0.80062236
    -#>   [95,] -0.93656903 -1.40078743  0.16027754 -0.27396237
    -#>   [96,] -0.98553911  0.08393068 -1.31999653  0.16122635
    -#>   [97,] -0.62492839  0.95716427  2.42448914 -0.91597924
    -#>   [98,]  1.05766417  0.82514973 -0.07019422 -0.45364637
    -#>   [99,]  1.57530771 -2.00545782 -0.64319479 -1.43684344
    -#>  [100,] -0.05003727 -0.44374931  0.29986525 -1.56842462
    -#>  [101,]  0.67576242 -1.07420661  0.45457781 -0.21330714
    -#>  [102,]  0.93560368 -1.13689311  0.26691825  0.42833204
    -#>  [103,] -0.10555991 -0.73050967  1.90504358  0.33262173
    -#>  [104,]  1.39531344 -0.19070343 -0.52467120  3.18404447
    -#>  [105,]  0.49030264 -0.09616320  0.46852512 -0.98237064
    -#>  [106,] -1.02298384 -0.69341466 -0.76798957  1.29904997
    -#>  [107,]  1.57914556 -0.15689195 -0.35893656 -0.32903883
    -#>  [108,]  0.06923648  0.09690423  0.29003439 -0.74667894
    -#>  [109,] -0.84689639  1.19707766 -0.54862736  0.30304570
    -#>  [110,] -0.14126176 -1.00537758  0.15615571  0.23363361
    -#>  [111,]  0.35558761 -1.62185826  0.22071129  0.31045008
    -#>  [112,] -1.42110845  0.95536564  0.78417088  2.29961936
    -#>  [113,]  0.15670299  0.04673353  0.09658583  0.06976623
    -#>  [114,] -1.84847278 -1.67112706 -0.07753897 -0.58106738
    -#>  [115,]  0.05473653 -2.11120837 -1.49869825 -1.10148344
    -#>  [116,]  0.98605822 -1.09849001 -0.79951395  0.07987382
    -#>  [117,] -0.32274636  0.14641718  2.30506198 -1.12460367
    -#>  [118,] -0.30546964 -0.51675945  1.51239543 -0.76948492
    -#>  [119,] -0.08208690  0.78713361 -1.05859054  1.65517582
    -#>  [120,]  0.31322877 -0.08997520  1.07051604 -1.35110039
    -#>  [121,] -0.52261670 -0.24919068 -0.99579872 -1.03995504
    -#>  [122,] -0.01798024 -0.13217513 -2.54934277  1.04057346
    -#>  [123,]  0.24972574  2.41620737  0.68519824 -0.44695931
    -#>  [124,]  2.79739115  2.83222602 -1.21871182  0.46903196
    -#>  [125,] -0.21124692  0.18705115  0.22754273 -1.26190046
    -#>  [126,]  0.28558958  1.74924736 -0.16409000 -0.16292671
    -#>  [127,]  1.39857201  0.89839624 -1.64849482  0.22855697
    -#>  [128,]  1.65354723  1.41527635  0.41995160  0.72122081
    -#>  [129,] -1.19693521  0.30013157 -0.95444894 -0.45801807
    -#>  [130,]  0.05491197  1.82218882 -1.02234733  0.60613026
    -#>  [131,] -0.08893057 -0.26083224  0.46409123 -1.02040059
    -#>  [132,] -1.31345092 -0.49448088  1.75175715  0.05576477
    -#>  [133,]  0.33143440 -0.18984664  0.47049273 -0.95167954
    -#>  [134,]  1.15791047  0.58470526 -0.80645282  0.05455325
    -#>  [135,]  0.71633162  0.55773098  1.48193402 -0.61298775
    -#>  [136,]  1.11613662  1.03654801 -0.16248313 -0.97592669
    -#>  [137,] -1.08914519  0.45778696 -0.07112673  1.77910267
    -#>  [138,]  0.53513796 -0.37194488 -1.02554225 -0.58240167
    -#>  [139,]  0.34288839 -0.45093465  0.51423012 -0.33433805
    -#>  [140,]  0.23063364 -1.69186241  0.65979190 -1.02362359
    -#>  [141,] -0.89152157  0.91834117 -0.45270065 -1.74837228
    -#>  [142,]  1.76990411 -2.37740693  0.57281153  1.01724925
    -#>  [143,] -0.63096787  0.44428705  0.43913039  1.04062315
    -#>  [144,]  0.48409939 -0.24488378  0.91599206  0.80062236
    -#>  [145,] -0.93656903 -1.40078743  0.16027754 -0.27396237
    -#>  [146,] -0.98553911  0.08393068 -1.31999653  0.16122635
    -#>  [147,] -0.62492839  0.95716427  2.42448914 -0.91597924
    -#>  [148,]  1.05766417  0.82514973 -0.07019422 -0.45364637
    -#>  [149,]  1.57530771 -2.00545782 -0.64319479 -1.43684344
    -#>  [150,] -0.05003727 -0.44374931  0.29986525 -1.56842462
    -#>  [151,]  0.67576242 -1.07420661  0.45457781 -0.21330714
    -#>  [152,]  0.93560368 -1.13689311  0.26691825  0.42833204
    -#>  [153,] -0.10555991 -0.73050967  1.90504358  0.33262173
    -#>  [154,]  1.39531344 -0.19070343 -0.52467120  3.18404447
    -#>  [155,]  0.49030264 -0.09616320  0.46852512 -0.98237064
    -#>  [156,] -1.02298384 -0.69341466 -0.76798957  1.29904997
    -#>  [157,]  1.57914556 -0.15689195 -0.35893656 -0.32903883
    -#>  [158,]  0.06923648  0.09690423  0.29003439 -0.74667894
    -#>  [159,] -0.84689639  1.19707766 -0.54862736  0.30304570
    -#>  [160,] -0.14126176 -1.00537758  0.15615571  0.23363361
    -#>  [161,]  0.35558761 -1.62185826  0.22071129  0.31045008
    -#>  [162,] -1.42110845  0.95536564  0.78417088  2.29961936
    -#>  [163,]  0.15670299  0.04673353  0.09658583  0.06976623
    -#>  [164,] -1.84847278 -1.67112706 -0.07753897 -0.58106738
    -#>  [165,]  0.05473653 -2.11120837 -1.49869825 -1.10148344
    -#>  [166,]  0.98605822 -1.09849001 -0.79951395  0.07987382
    -#>  [167,] -0.32274636  0.14641718  2.30506198 -1.12460367
    -#>  [168,] -0.30546964 -0.51675945  1.51239543 -0.76948492
    -#>  [169,] -0.08208690  0.78713361 -1.05859054  1.65517582
    -#>  [170,]  0.31322877 -0.08997520  1.07051604 -1.35110039
    -#>  [171,] -0.52261670 -0.24919068 -0.99579872 -1.03995504
    -#>  [172,] -0.01798024 -0.13217513 -2.54934277  1.04057346
    -#>  [173,]  0.24972574  2.41620737  0.68519824 -0.44695931
    -#>  [174,]  2.79739115  2.83222602 -1.21871182  0.46903196
    -#>  [175,] -0.21124692  0.18705115  0.22754273 -1.26190046
    -#>  [176,]  0.28558958  1.74924736 -0.16409000 -0.16292671
    -#>  [177,]  1.39857201  0.89839624 -1.64849482  0.22855697
    -#>  [178,]  1.65354723  1.41527635  0.41995160  0.72122081
    -#>  [179,] -1.19693521  0.30013157 -0.95444894 -0.45801807
    -#>  [180,]  0.05491197  1.82218882 -1.02234733  0.60613026
    -#>  [181,] -0.08893057 -0.26083224  0.46409123 -1.02040059
    -#>  [182,] -1.31345092 -0.49448088  1.75175715  0.05576477
    -#>  [183,]  0.33143440 -0.18984664  0.47049273 -0.95167954
    -#>  [184,]  1.15791047  0.58470526 -0.80645282  0.05455325
    -#>  [185,]  0.71633162  0.55773098  1.48193402 -0.61298775
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    -#>  [833,]  0.33143440 -0.18984664  0.47049273 -0.95167954
    -#>  [834,]  1.15791047  0.58470526 -0.80645282  0.05455325
    -#>  [835,]  0.71633162  0.55773098  1.48193402 -0.61298775
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    -#>  [837,] -1.08914519  0.45778696 -0.07112673  1.77910267
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    -#>  [841,] -0.89152157  0.91834117 -0.45270065 -1.74837228
    -#>  [842,]  1.76990411 -2.37740693  0.57281153  1.01724925
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    -#> [1056,] -1.02298384 -0.69341466 -0.76798957  1.29904997
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    -#> [1283,]  0.33143440 -0.18984664  0.47049273 -0.95167954
    -#> [1284,]  1.15791047  0.58470526 -0.80645282  0.05455325
    -#> [1285,]  0.71633162  0.55773098  1.48193402 -0.61298775
    -#> [1286,]  1.11613662  1.03654801 -0.16248313 -0.97592669
    -#> [1287,] -1.08914519  0.45778696 -0.07112673  1.77910267
    -#> [1288,]  0.53513796 -0.37194488 -1.02554225 -0.58240167
    -#> [1289,]  0.34288839 -0.45093465  0.51423012 -0.33433805
    -#> [1290,]  0.23063364 -1.69186241  0.65979190 -1.02362359
    -#> [1291,] -0.89152157  0.91834117 -0.45270065 -1.74837228
    -#> [1292,]  1.76990411 -2.37740693  0.57281153  1.01724925
    -#> [1293,] -0.63096787  0.44428705  0.43913039  1.04062315
    -#> [1294,]  0.48409939 -0.24488378  0.91599206  0.80062236
    -#> [1295,] -0.93656903 -1.40078743  0.16027754 -0.27396237
    -#> [1296,] -0.98553911  0.08393068 -1.31999653  0.16122635
    -#> [1297,] -0.62492839  0.95716427  2.42448914 -0.91597924
    -#> [1298,]  1.05766417  0.82514973 -0.07019422 -0.45364637
    -#> [1299,]  1.57530771 -2.00545782 -0.64319479 -1.43684344
    -#> [1300,] -0.05003727 -0.44374931  0.29986525 -1.56842462
    -#> [1301,]  0.67576242 -1.07420661  0.45457781 -0.21330714
    -#> [1302,]  0.93560368 -1.13689311  0.26691825  0.42833204
    -#> [1303,] -0.10555991 -0.73050967  1.90504358  0.33262173
    -#> [1304,]  1.39531344 -0.19070343 -0.52467120  3.18404447
    -#> [1305,]  0.49030264 -0.09616320  0.46852512 -0.98237064
    -#> [1306,] -1.02298384 -0.69341466 -0.76798957  1.29904997
    -#> [1307,]  1.57914556 -0.15689195 -0.35893656 -0.32903883
    -#> [1308,]  0.06923648  0.09690423  0.29003439 -0.74667894
    -#> [1309,] -0.84689639  1.19707766 -0.54862736  0.30304570
    -#> [1310,] -0.14126176 -1.00537758  0.15615571  0.23363361
    -#> [1311,]  0.35558761 -1.62185826  0.22071129  0.31045008
    -#> [1312,] -1.42110845  0.95536564  0.78417088  2.29961936
    -#> [1313,]  0.15670299  0.04673353  0.09658583  0.06976623
    -#> [1314,] -1.84847278 -1.67112706 -0.07753897 -0.58106738
    -#> [1315,]  0.05473653 -2.11120837 -1.49869825 -1.10148344
    -#> [1316,]  0.98605822 -1.09849001 -0.79951395  0.07987382
    -#> [1317,] -0.32274636  0.14641718  2.30506198 -1.12460367
    -#> [1318,] -0.30546964 -0.51675945  1.51239543 -0.76948492
    -#> [1319,] -0.08208690  0.78713361 -1.05859054  1.65517582
    -#> [1320,]  0.31322877 -0.08997520  1.07051604 -1.35110039
    -#> [1321,] -0.52261670 -0.24919068 -0.99579872 -1.03995504
    -#> [1322,] -0.01798024 -0.13217513 -2.54934277  1.04057346
    -#> [1323,]  0.24972574  2.41620737  0.68519824 -0.44695931
    -#> [1324,]  2.79739115  2.83222602 -1.21871182  0.46903196
    -#> [1325,] -0.21124692  0.18705115  0.22754273 -1.26190046
    -#> [1326,]  0.28558958  1.74924736 -0.16409000 -0.16292671
    -#> [1327,]  1.39857201  0.89839624 -1.64849482  0.22855697
    -#> [1328,]  1.65354723  1.41527635  0.41995160  0.72122081
    -#> [1329,] -1.19693521  0.30013157 -0.95444894 -0.45801807
    -#> [1330,]  0.05491197  1.82218882 -1.02234733  0.60613026
    -#> [1331,] -0.08893057 -0.26083224  0.46409123 -1.02040059
    -#> [1332,] -1.31345092 -0.49448088  1.75175715  0.05576477
    -#> [1333,]  0.33143440 -0.18984664  0.47049273 -0.95167954
    -#> [1334,]  1.15791047  0.58470526 -0.80645282  0.05455325
    -#> [1335,]  0.71633162  0.55773098  1.48193402 -0.61298775
    -#> [1336,]  1.11613662  1.03654801 -0.16248313 -0.97592669
    -#> [1337,] -1.08914519  0.45778696 -0.07112673  1.77910267
    -#> [1338,]  0.53513796 -0.37194488 -1.02554225 -0.58240167
    -#> [1339,]  0.34288839 -0.45093465  0.51423012 -0.33433805
    -#> [1340,]  0.23063364 -1.69186241  0.65979190 -1.02362359
    -#> [1341,] -0.89152157  0.91834117 -0.45270065 -1.74837228
    -#> [1342,]  1.76990411 -2.37740693  0.57281153  1.01724925
    -#> [1343,] -0.63096787  0.44428705  0.43913039  1.04062315
    -#> [1344,]  0.48409939 -0.24488378  0.91599206  0.80062236
    -#> [1345,] -0.93656903 -1.40078743  0.16027754 -0.27396237
    -#> [1346,] -0.98553911  0.08393068 -1.31999653  0.16122635
    -#> [1347,] -0.62492839  0.95716427  2.42448914 -0.91597924
    -#> [1348,]  1.05766417  0.82514973 -0.07019422 -0.45364637
    -#> [1349,]  1.57530771 -2.00545782 -0.64319479 -1.43684344
    -#> [1350,] -0.05003727 -0.44374931  0.29986525 -1.56842462
    -#> [1351,]  0.67576242 -1.07420661  0.45457781 -0.21330714
    -#> [1352,]  0.93560368 -1.13689311  0.26691825  0.42833204
    -#> [1353,] -0.10555991 -0.73050967  1.90504358  0.33262173
    -#> [1354,]  1.39531344 -0.19070343 -0.52467120  3.18404447
    -#> [1355,]  0.49030264 -0.09616320  0.46852512 -0.98237064
    -#> [1356,] -1.02298384 -0.69341466 -0.76798957  1.29904997
    -#> [1357,]  1.57914556 -0.15689195 -0.35893656 -0.32903883
    -#> [1358,]  0.06923648  0.09690423  0.29003439 -0.74667894
    -#> [1359,] -0.84689639  1.19707766 -0.54862736  0.30304570
    -#> [1360,] -0.14126176 -1.00537758  0.15615571  0.23363361
    -#> [1361,]  0.35558761 -1.62185826  0.22071129  0.31045008
    -#> [1362,] -1.42110845  0.95536564  0.78417088  2.29961936
    -#> [1363,]  0.15670299  0.04673353  0.09658583  0.06976623
    -#> [1364,] -1.84847278 -1.67112706 -0.07753897 -0.58106738
    -#> [1365,]  0.05473653 -2.11120837 -1.49869825 -1.10148344
    -#> [1366,]  0.98605822 -1.09849001 -0.79951395  0.07987382
    -#> [1367,] -0.32274636  0.14641718  2.30506198 -1.12460367
    -#> [1368,] -0.30546964 -0.51675945  1.51239543 -0.76948492
    -#> [1369,] -0.08208690  0.78713361 -1.05859054  1.65517582
    -#> [1370,]  0.31322877 -0.08997520  1.07051604 -1.35110039
    -#> [1371,] -0.52261670 -0.24919068 -0.99579872 -1.03995504
    -#> [1372,] -0.01798024 -0.13217513 -2.54934277  1.04057346
    -#> [1373,]  0.24972574  2.41620737  0.68519824 -0.44695931
    -#> [1374,]  2.79739115  2.83222602 -1.21871182  0.46903196
    -#> [1375,] -0.21124692  0.18705115  0.22754273 -1.26190046
    -#> [1376,]  0.28558958  1.74924736 -0.16409000 -0.16292671
    -#> [1377,]  1.39857201  0.89839624 -1.64849482  0.22855697
    -#> [1378,]  1.65354723  1.41527635  0.41995160  0.72122081
    -#> [1379,] -1.19693521  0.30013157 -0.95444894 -0.45801807
    -#> [1380,]  0.05491197  1.82218882 -1.02234733  0.60613026
    -#> [1381,] -0.08893057 -0.26083224  0.46409123 -1.02040059
    -#> [1382,] -1.31345092 -0.49448088  1.75175715  0.05576477
    -#> [1383,]  0.33143440 -0.18984664  0.47049273 -0.95167954
    -#> [1384,]  1.15791047  0.58470526 -0.80645282  0.05455325
    -#> [1385,]  0.71633162  0.55773098  1.48193402 -0.61298775
    -#> [1386,]  1.11613662  1.03654801 -0.16248313 -0.97592669
    -#> [1387,] -1.08914519  0.45778696 -0.07112673  1.77910267
    -#> [1388,]  0.53513796 -0.37194488 -1.02554225 -0.58240167
    -#> [1389,]  0.34288839 -0.45093465  0.51423012 -0.33433805
    -#> [1390,]  0.23063364 -1.69186241  0.65979190 -1.02362359
    -#> [1391,] -0.89152157  0.91834117 -0.45270065 -1.74837228
    -#> [1392,]  1.76990411 -2.37740693  0.57281153  1.01724925
    -#> [1393,] -0.63096787  0.44428705  0.43913039  1.04062315
    -#> [1394,]  0.48409939 -0.24488378  0.91599206  0.80062236
    -#> [1395,] -0.93656903 -1.40078743  0.16027754 -0.27396237
    -#> [1396,] -0.98553911  0.08393068 -1.31999653  0.16122635
    -#> [1397,] -0.62492839  0.95716427  2.42448914 -0.91597924
    -#> [1398,]  1.05766417  0.82514973 -0.07019422 -0.45364637
    -#> [1399,]  1.57530771 -2.00545782 -0.64319479 -1.43684344
    -#> [1400,] -0.05003727 -0.44374931  0.29986525 -1.56842462
    -#> [1401,]  0.67576242 -1.07420661  0.45457781 -0.21330714
    -#> [1402,]  0.93560368 -1.13689311  0.26691825  0.42833204
    -#> [1403,] -0.10555991 -0.73050967  1.90504358  0.33262173
    -#> [1404,]  1.39531344 -0.19070343 -0.52467120  3.18404447
    -#> [1405,]  0.49030264 -0.09616320  0.46852512 -0.98237064
    -#> [1406,] -1.02298384 -0.69341466 -0.76798957  1.29904997
    -#> [1407,]  1.57914556 -0.15689195 -0.35893656 -0.32903883
    -#> [1408,]  0.06923648  0.09690423  0.29003439 -0.74667894
    -#> [1409,] -0.84689639  1.19707766 -0.54862736  0.30304570
    -#> [1410,] -0.14126176 -1.00537758  0.15615571  0.23363361
    -#> [1411,]  0.35558761 -1.62185826  0.22071129  0.31045008
    -#> [1412,] -1.42110845  0.95536564  0.78417088  2.29961936
    -#> [1413,]  0.15670299  0.04673353  0.09658583  0.06976623
    -#> [1414,] -1.84847278 -1.67112706 -0.07753897 -0.58106738
    -#> [1415,]  0.05473653 -2.11120837 -1.49869825 -1.10148344
    -#> [1416,]  0.98605822 -1.09849001 -0.79951395  0.07987382
    -#> [1417,] -0.32274636  0.14641718  2.30506198 -1.12460367
    -#> [1418,] -0.30546964 -0.51675945  1.51239543 -0.76948492
    -#> [1419,] -0.08208690  0.78713361 -1.05859054  1.65517582
    -#> [1420,]  0.31322877 -0.08997520  1.07051604 -1.35110039
    -#> [1421,] -0.52261670 -0.24919068 -0.99579872 -1.03995504
    -#> [1422,] -0.01798024 -0.13217513 -2.54934277  1.04057346
    -#> [1423,]  0.24972574  2.41620737  0.68519824 -0.44695931
    -#> [1424,]  2.79739115  2.83222602 -1.21871182  0.46903196
    -#> [1425,] -0.21124692  0.18705115  0.22754273 -1.26190046
    -#> [1426,]  0.28558958  1.74924736 -0.16409000 -0.16292671
    -#> [1427,]  1.39857201  0.89839624 -1.64849482  0.22855697
    -#> [1428,]  1.65354723  1.41527635  0.41995160  0.72122081
    -#> [1429,] -1.19693521  0.30013157 -0.95444894 -0.45801807
    -#> [1430,]  0.05491197  1.82218882 -1.02234733  0.60613026
    -#> [1431,] -0.08893057 -0.26083224  0.46409123 -1.02040059
    -#> [1432,] -1.31345092 -0.49448088  1.75175715  0.05576477
    -#> [1433,]  0.33143440 -0.18984664  0.47049273 -0.95167954
    -#> [1434,]  1.15791047  0.58470526 -0.80645282  0.05455325
    -#> [1435,]  0.71633162  0.55773098  1.48193402 -0.61298775
    -#> [1436,]  1.11613662  1.03654801 -0.16248313 -0.97592669
    -#> [1437,] -1.08914519  0.45778696 -0.07112673  1.77910267
    -#> [1438,]  0.53513796 -0.37194488 -1.02554225 -0.58240167
    -#> [1439,]  0.34288839 -0.45093465  0.51423012 -0.33433805
    -#> [1440,]  0.23063364 -1.69186241  0.65979190 -1.02362359
    -#> [1441,] -0.89152157  0.91834117 -0.45270065 -1.74837228
    -#> [1442,]  1.76990411 -2.37740693  0.57281153  1.01724925
    -#> [1443,] -0.63096787  0.44428705  0.43913039  1.04062315
    -#> [1444,]  0.48409939 -0.24488378  0.91599206  0.80062236
    -#> [1445,] -0.93656903 -1.40078743  0.16027754 -0.27396237
    -#> [1446,] -0.98553911  0.08393068 -1.31999653  0.16122635
    -#> [1447,] -0.62492839  0.95716427  2.42448914 -0.91597924
    -#> [1448,]  1.05766417  0.82514973 -0.07019422 -0.45364637
    -#> [1449,]  1.57530771 -2.00545782 -0.64319479 -1.43684344
    -#> [1450,] -0.05003727 -0.44374931  0.29986525 -1.56842462
    -#> [1451,]  0.67576242 -1.07420661  0.45457781 -0.21330714
    -#> [1452,]  0.93560368 -1.13689311  0.26691825  0.42833204
    -#> [1453,] -0.10555991 -0.73050967  1.90504358  0.33262173
    -#> [1454,]  1.39531344 -0.19070343 -0.52467120  3.18404447
    -#> [1455,]  0.49030264 -0.09616320  0.46852512 -0.98237064
    -#> [1456,] -1.02298384 -0.69341466 -0.76798957  1.29904997
    -#> [1457,]  1.57914556 -0.15689195 -0.35893656 -0.32903883
    -#> [1458,]  0.06923648  0.09690423  0.29003439 -0.74667894
    -#> [1459,] -0.84689639  1.19707766 -0.54862736  0.30304570
    -#> [1460,] -0.14126176 -1.00537758  0.15615571  0.23363361
    -#> [1461,]  0.35558761 -1.62185826  0.22071129  0.31045008
    -#> [1462,] -1.42110845  0.95536564  0.78417088  2.29961936
    -#> [1463,]  0.15670299  0.04673353  0.09658583  0.06976623
    -#> [1464,] -1.84847278 -1.67112706 -0.07753897 -0.58106738
    -#> [1465,]  0.05473653 -2.11120837 -1.49869825 -1.10148344
    -#> [1466,]  0.98605822 -1.09849001 -0.79951395  0.07987382
    -#> [1467,] -0.32274636  0.14641718  2.30506198 -1.12460367
    -#> [1468,] -0.30546964 -0.51675945  1.51239543 -0.76948492
    -#> [1469,] -0.08208690  0.78713361 -1.05859054  1.65517582
    -#> [1470,]  0.31322877 -0.08997520  1.07051604 -1.35110039
    -#> [1471,] -0.52261670 -0.24919068 -0.99579872 -1.03995504
    -#> [1472,] -0.01798024 -0.13217513 -2.54934277  1.04057346
    -#> [1473,]  0.24972574  2.41620737  0.68519824 -0.44695931
    -#> [1474,]  2.79739115  2.83222602 -1.21871182  0.46903196
    -#> [1475,] -0.21124692  0.18705115  0.22754273 -1.26190046
    -#> [1476,]  0.28558958  1.74924736 -0.16409000 -0.16292671
    -#> [1477,]  1.39857201  0.89839624 -1.64849482  0.22855697
    -#> [1478,]  1.65354723  1.41527635  0.41995160  0.72122081
    -#> [1479,] -1.19693521  0.30013157 -0.95444894 -0.45801807
    -#> [1480,]  0.05491197  1.82218882 -1.02234733  0.60613026
    -#> [1481,] -0.08893057 -0.26083224  0.46409123 -1.02040059
    -#> [1482,] -1.31345092 -0.49448088  1.75175715  0.05576477
    -#> [1483,]  0.33143440 -0.18984664  0.47049273 -0.95167954
    -#> [1484,]  1.15791047  0.58470526 -0.80645282  0.05455325
    -#> [1485,]  0.71633162  0.55773098  1.48193402 -0.61298775
    -#> [1486,]  1.11613662  1.03654801 -0.16248313 -0.97592669
    -#> [1487,] -1.08914519  0.45778696 -0.07112673  1.77910267
    -#> [1488,]  0.53513796 -0.37194488 -1.02554225 -0.58240167
    -#> [1489,]  0.34288839 -0.45093465  0.51423012 -0.33433805
    -#> [1490,]  0.23063364 -1.69186241  0.65979190 -1.02362359
    -#> [1491,] -0.89152157  0.91834117 -0.45270065 -1.74837228
    -#> [1492,]  1.76990411 -2.37740693  0.57281153  1.01724925
    -#> [1493,] -0.63096787  0.44428705  0.43913039  1.04062315
    -#> [1494,]  0.48409939 -0.24488378  0.91599206  0.80062236
    -#> [1495,] -0.93656903 -1.40078743  0.16027754 -0.27396237
    -#> [1496,] -0.98553911  0.08393068 -1.31999653  0.16122635
    -#> [1497,] -0.62492839  0.95716427  2.42448914 -0.91597924
    -#> [1498,]  1.05766417  0.82514973 -0.07019422 -0.45364637
    -#> [1499,]  1.57530771 -2.00545782 -0.64319479 -1.43684344
    -#> [1500,] -0.05003727 -0.44374931  0.29986525 -1.56842462
    -#> 
    -#> 
    -#> $params
    -#> $params$coef_means
    -#> [1] 0 0 0 0 0
    -#> 
    -#> $params$Sigma
    -#>      [,1] [,2] [,3] [,4] [,5]
    -#> [1,]  1.0  0.5  0.5  0.5  0.5
    -#> [2,]  0.5  1.0  0.5  0.5  0.5
    -#> [3,]  0.5  0.5  1.0  0.5  0.5
    -#> [4,]  0.5  0.5  0.5  1.0  0.5
    -#> [5,]  0.5  0.5  0.5  0.5  1.0
    -#> 
    -#> $params$coefs
    -#>    det_intercept det_slope_unit det_slope_visit occ_intercept occ_slope_unit
    -#> 1    0.508548810     0.77807011      0.80482970   -0.17360000     0.25286423
    -#> 2   -0.420940845     0.77990025      0.12350617    0.35203975     0.05696827
    -#> 3   -1.517626038    -0.89263386     -1.28636204   -1.61767754    -0.72255187
    -#> 4   -0.216582489     0.03204391     -0.71897615   -0.12384829     0.75428519
    -#> 5    1.066014876     0.66757562     -0.79646966   -1.12971558    -0.30813450
    -#> 6   -1.740812948    -1.63284467     -1.14658859   -1.40540609    -0.71676583
    -#> 7   -0.208152618     0.54095837      0.23442360   -1.45313390    -0.89921624
    -#> 8    1.029218989     1.71515102      1.25425367    0.48142456     0.41951285
    -#> 9   -0.076297618     0.24019585      1.18828474    0.80697467     0.50101201
    -#> 10   0.300109084    -0.88154177      1.39343691    0.64725408     0.26678308
    -#> 11  -0.034555501    -1.35817078     -1.58431721   -0.53454897    -1.22925595
    -#> 12   0.006845644     0.59475669     -1.66797651   -0.05963075    -0.26754803
    -#> 13  -0.284358241    -0.79588393      0.23456607    0.27944565    -0.98595070
    -#> 14  -0.352944922     0.05803719     -0.49475617   -0.90398219     1.26497378
    -#> 15  -0.868034872     0.52263808      0.19118352    0.54950737     1.75746936
    -#> 16  -0.668616485    -1.94812518     -0.96619798   -1.10731830    -2.23042688
    -#> 17  -1.309423215    -0.44645562     -0.45330736    0.34195221    -0.06093262
    -#> 18   1.991318996     1.00395704      0.40903399    2.33951041     1.87285506
    -#> 19   0.664155168    -1.09933744     -0.80166071   -1.12973093    -0.34976581
    -#> 20  -0.546975568     1.10312602      0.66584579    0.34624304     0.26287397
    -#> 21   1.270980071     0.42645941      0.62367626    0.78061459     1.03393310
    -#> 22   0.003014390     0.37806468      0.53865575   -0.02348742    -0.05203418
    -#> 23  -0.199571642     0.36542420      0.55525681    1.64772961     1.60485916
    -#> 24  -0.393363218     0.54848421      1.17452890    0.06236571     1.43096800
    -#> 25  -0.528747078     1.07503581      0.69402335    0.70311279     0.47734180
    -#> 26   0.970732254     1.42372476      1.63614734    0.49273008     2.00920068
    -#> 27  -1.573442460    -0.75277626      0.24610808    0.19206408    -1.35668872
    -#> 28   0.316274462    -0.70178439     -0.07792268   -0.35759633     0.22701742
    -#> 29   2.209822598     0.23992275      0.21586628    0.80925977     0.93311401
    -#> 30  -1.785190406    -1.68593270     -0.26145023   -0.66968627    -0.45374470
    -#> 
    -#> 
    -#> $covariates
    -#> $covariates$uc1
    -#>    [1]  0.78773885  0.78773885  0.78773885  0.78773885  0.78773885  0.78773885
    -#>    [7]  0.78773885  0.78773885  0.78773885  0.78773885  0.78773885  0.78773885
    -#>   [13]  0.78773885  0.78773885  0.78773885  0.78773885  0.78773885  0.78773885
    -#>   [19]  0.78773885  0.78773885  0.78773885  0.78773885  0.78773885  0.78773885
    -#>   [25]  0.78773885  0.78773885  0.78773885  0.78773885  0.78773885  0.78773885
    -#>   [31]  0.76904224  0.76904224  0.76904224  0.76904224  0.76904224  0.76904224
    -#>   [37]  0.76904224  0.76904224  0.76904224  0.76904224  0.76904224  0.76904224
    -#>   [43]  0.76904224  0.76904224  0.76904224  0.76904224  0.76904224  0.76904224
    -#>   [49]  0.76904224  0.76904224  0.76904224  0.76904224  0.76904224  0.76904224
    -#>   [55]  0.76904224  0.76904224  0.76904224  0.76904224  0.76904224  0.76904224
    -#>   [61]  0.33220258  0.33220258  0.33220258  0.33220258  0.33220258  0.33220258
    -#>   [67]  0.33220258  0.33220258  0.33220258  0.33220258  0.33220258  0.33220258
    -#>   [73]  0.33220258  0.33220258  0.33220258  0.33220258  0.33220258  0.33220258
    -#>   [79]  0.33220258  0.33220258  0.33220258  0.33220258  0.33220258  0.33220258
    -#>   [85]  0.33220258  0.33220258  0.33220258  0.33220258  0.33220258  0.33220258
    -#>   [91] -1.00837661 -1.00837661 -1.00837661 -1.00837661 -1.00837661 -1.00837661
    -#>   [97] -1.00837661 -1.00837661 -1.00837661 -1.00837661 -1.00837661 -1.00837661
    -#>  [103] -1.00837661 -1.00837661 -1.00837661 -1.00837661 -1.00837661 -1.00837661
    -#>  [109] -1.00837661 -1.00837661 -1.00837661 -1.00837661 -1.00837661 -1.00837661
    -#>  [115] -1.00837661 -1.00837661 -1.00837661 -1.00837661 -1.00837661 -1.00837661
    -#>  [121] -0.11945261 -0.11945261 -0.11945261 -0.11945261 -0.11945261 -0.11945261
    -#>  [127] -0.11945261 -0.11945261 -0.11945261 -0.11945261 -0.11945261 -0.11945261
    -#>  [133] -0.11945261 -0.11945261 -0.11945261 -0.11945261 -0.11945261 -0.11945261
    -#>  [139] -0.11945261 -0.11945261 -0.11945261 -0.11945261 -0.11945261 -0.11945261
    -#>  [145] -0.11945261 -0.11945261 -0.11945261 -0.11945261 -0.11945261 -0.11945261
    -#>  [151] -0.28039534 -0.28039534 -0.28039534 -0.28039534 -0.28039534 -0.28039534
    -#>  [157] -0.28039534 -0.28039534 -0.28039534 -0.28039534 -0.28039534 -0.28039534
    -#>  [163] -0.28039534 -0.28039534 -0.28039534 -0.28039534 -0.28039534 -0.28039534
    -#>  [169] -0.28039534 -0.28039534 -0.28039534 -0.28039534 -0.28039534 -0.28039534
    -#>  [175] -0.28039534 -0.28039534 -0.28039534 -0.28039534 -0.28039534 -0.28039534
    -#>  [181]  0.56298953  0.56298953  0.56298953  0.56298953  0.56298953  0.56298953
    -#>  [187]  0.56298953  0.56298953  0.56298953  0.56298953  0.56298953  0.56298953
    -#>  [193]  0.56298953  0.56298953  0.56298953  0.56298953  0.56298953  0.56298953
    -#>  [199]  0.56298953  0.56298953  0.56298953  0.56298953  0.56298953  0.56298953
    -#>  [205]  0.56298953  0.56298953  0.56298953  0.56298953  0.56298953  0.56298953
    -#>  [211] -0.37243876 -0.37243876 -0.37243876 -0.37243876 -0.37243876 -0.37243876
    -#>  [217] -0.37243876 -0.37243876 -0.37243876 -0.37243876 -0.37243876 -0.37243876
    -#>  [223] -0.37243876 -0.37243876 -0.37243876 -0.37243876 -0.37243876 -0.37243876
    -#>  [229] -0.37243876 -0.37243876 -0.37243876 -0.37243876 -0.37243876 -0.37243876
    -#>  [235] -0.37243876 -0.37243876 -0.37243876 -0.37243876 -0.37243876 -0.37243876
    -#>  [241]  0.97697339  0.97697339  0.97697339  0.97697339  0.97697339  0.97697339
    -#>  [247]  0.97697339  0.97697339  0.97697339  0.97697339  0.97697339  0.97697339
    -#>  [253]  0.97697339  0.97697339  0.97697339  0.97697339  0.97697339  0.97697339
    -#>  [259]  0.97697339  0.97697339  0.97697339  0.97697339  0.97697339  0.97697339
    -#>  [265]  0.97697339  0.97697339  0.97697339  0.97697339  0.97697339  0.97697339
    -#>  [271] -0.37458086 -0.37458086 -0.37458086 -0.37458086 -0.37458086 -0.37458086
    -#>  [277] -0.37458086 -0.37458086 -0.37458086 -0.37458086 -0.37458086 -0.37458086
    -#>  [283] -0.37458086 -0.37458086 -0.37458086 -0.37458086 -0.37458086 -0.37458086
    -#>  [289] -0.37458086 -0.37458086 -0.37458086 -0.37458086 -0.37458086 -0.37458086
    -#>  [295] -0.37458086 -0.37458086 -0.37458086 -0.37458086 -0.37458086 -0.37458086
    -#>  [301]  1.05271147  1.05271147  1.05271147  1.05271147  1.05271147  1.05271147
    -#>  [307]  1.05271147  1.05271147  1.05271147  1.05271147  1.05271147  1.05271147
    -#>  [313]  1.05271147  1.05271147  1.05271147  1.05271147  1.05271147  1.05271147
    -#>  [319]  1.05271147  1.05271147  1.05271147  1.05271147  1.05271147  1.05271147
    -#>  [325]  1.05271147  1.05271147  1.05271147  1.05271147  1.05271147  1.05271147
    -#>  [331] -1.04917701 -1.04917701 -1.04917701 -1.04917701 -1.04917701 -1.04917701
    -#>  [337] -1.04917701 -1.04917701 -1.04917701 -1.04917701 -1.04917701 -1.04917701
    -#>  [343] -1.04917701 -1.04917701 -1.04917701 -1.04917701 -1.04917701 -1.04917701
    -#>  [349] -1.04917701 -1.04917701 -1.04917701 -1.04917701 -1.04917701 -1.04917701
    -#>  [355] -1.04917701 -1.04917701 -1.04917701 -1.04917701 -1.04917701 -1.04917701
    -#>  [361] -1.26015524 -1.26015524 -1.26015524 -1.26015524 -1.26015524 -1.26015524
    -#>  [367] -1.26015524 -1.26015524 -1.26015524 -1.26015524 -1.26015524 -1.26015524
    -#>  [373] -1.26015524 -1.26015524 -1.26015524 -1.26015524 -1.26015524 -1.26015524
    -#>  [379] -1.26015524 -1.26015524 -1.26015524 -1.26015524 -1.26015524 -1.26015524
    -#>  [385] -1.26015524 -1.26015524 -1.26015524 -1.26015524 -1.26015524 -1.26015524
    -#>  [391]  3.24103993  3.24103993  3.24103993  3.24103993  3.24103993  3.24103993
    -#>  [397]  3.24103993  3.24103993  3.24103993  3.24103993  3.24103993  3.24103993
    -#>  [403]  3.24103993  3.24103993  3.24103993  3.24103993  3.24103993  3.24103993
    -#>  [409]  3.24103993  3.24103993  3.24103993  3.24103993  3.24103993  3.24103993
    -#>  [415]  3.24103993  3.24103993  3.24103993  3.24103993  3.24103993  3.24103993
    -#>  [421] -0.41685759 -0.41685759 -0.41685759 -0.41685759 -0.41685759 -0.41685759
    -#>  [427] -0.41685759 -0.41685759 -0.41685759 -0.41685759 -0.41685759 -0.41685759
    -#>  [433] -0.41685759 -0.41685759 -0.41685759 -0.41685759 -0.41685759 -0.41685759
    -#>  [439] -0.41685759 -0.41685759 -0.41685759 -0.41685759 -0.41685759 -0.41685759
    -#>  [445] -0.41685759 -0.41685759 -0.41685759 -0.41685759 -0.41685759 -0.41685759
    -#>  [451]  0.29822759  0.29822759  0.29822759  0.29822759  0.29822759  0.29822759
    -#>  [457]  0.29822759  0.29822759  0.29822759  0.29822759  0.29822759  0.29822759
    -#>  [463]  0.29822759  0.29822759  0.29822759  0.29822759  0.29822759  0.29822759
    -#>  [469]  0.29822759  0.29822759  0.29822759  0.29822759  0.29822759  0.29822759
    -#>  [475]  0.29822759  0.29822759  0.29822759  0.29822759  0.29822759  0.29822759
    -#>  [481]  0.63656967  0.63656967  0.63656967  0.63656967  0.63656967  0.63656967
    -#>  [487]  0.63656967  0.63656967  0.63656967  0.63656967  0.63656967  0.63656967
    -#>  [493]  0.63656967  0.63656967  0.63656967  0.63656967  0.63656967  0.63656967
    -#>  [499]  0.63656967  0.63656967  0.63656967  0.63656967  0.63656967  0.63656967
    -#>  [505]  0.63656967  0.63656967  0.63656967  0.63656967  0.63656967  0.63656967
    -#>  [511] -0.48378063 -0.48378063 -0.48378063 -0.48378063 -0.48378063 -0.48378063
    -#>  [517] -0.48378063 -0.48378063 -0.48378063 -0.48378063 -0.48378063 -0.48378063
    -#>  [523] -0.48378063 -0.48378063 -0.48378063 -0.48378063 -0.48378063 -0.48378063
    -#>  [529] -0.48378063 -0.48378063 -0.48378063 -0.48378063 -0.48378063 -0.48378063
    -#>  [535] -0.48378063 -0.48378063 -0.48378063 -0.48378063 -0.48378063 -0.48378063
    -#>  [541]  0.51686204  0.51686204  0.51686204  0.51686204  0.51686204  0.51686204
    -#>  [547]  0.51686204  0.51686204  0.51686204  0.51686204  0.51686204  0.51686204
    -#>  [553]  0.51686204  0.51686204  0.51686204  0.51686204  0.51686204  0.51686204
    -#>  [559]  0.51686204  0.51686204  0.51686204  0.51686204  0.51686204  0.51686204
    -#>  [565]  0.51686204  0.51686204  0.51686204  0.51686204  0.51686204  0.51686204
    -#>  [571]  0.36896453  0.36896453  0.36896453  0.36896453  0.36896453  0.36896453
    -#>  [577]  0.36896453  0.36896453  0.36896453  0.36896453  0.36896453  0.36896453
    -#>  [583]  0.36896453  0.36896453  0.36896453  0.36896453  0.36896453  0.36896453
    -#>  [589]  0.36896453  0.36896453  0.36896453  0.36896453  0.36896453  0.36896453
    -#>  [595]  0.36896453  0.36896453  0.36896453  0.36896453  0.36896453  0.36896453
    -#>  [601] -0.21538051 -0.21538051 -0.21538051 -0.21538051 -0.21538051 -0.21538051
    -#>  [607] -0.21538051 -0.21538051 -0.21538051 -0.21538051 -0.21538051 -0.21538051
    -#>  [613] -0.21538051 -0.21538051 -0.21538051 -0.21538051 -0.21538051 -0.21538051
    -#>  [619] -0.21538051 -0.21538051 -0.21538051 -0.21538051 -0.21538051 -0.21538051
    -#>  [625] -0.21538051 -0.21538051 -0.21538051 -0.21538051 -0.21538051 -0.21538051
    -#>  [631]  0.06529303  0.06529303  0.06529303  0.06529303  0.06529303  0.06529303
    -#>  [637]  0.06529303  0.06529303  0.06529303  0.06529303  0.06529303  0.06529303
    -#>  [643]  0.06529303  0.06529303  0.06529303  0.06529303  0.06529303  0.06529303
    -#>  [649]  0.06529303  0.06529303  0.06529303  0.06529303  0.06529303  0.06529303
    -#>  [655]  0.06529303  0.06529303  0.06529303  0.06529303  0.06529303  0.06529303
    -#>  [661] -0.03406725 -0.03406725 -0.03406725 -0.03406725 -0.03406725 -0.03406725
    -#>  [667] -0.03406725 -0.03406725 -0.03406725 -0.03406725 -0.03406725 -0.03406725
    -#>  [673] -0.03406725 -0.03406725 -0.03406725 -0.03406725 -0.03406725 -0.03406725
    -#>  [679] -0.03406725 -0.03406725 -0.03406725 -0.03406725 -0.03406725 -0.03406725
    -#>  [685] -0.03406725 -0.03406725 -0.03406725 -0.03406725 -0.03406725 -0.03406725
    -#>  [691]  2.12845190  2.12845190  2.12845190  2.12845190  2.12845190  2.12845190
    -#>  [697]  2.12845190  2.12845190  2.12845190  2.12845190  2.12845190  2.12845190
    -#>  [703]  2.12845190  2.12845190  2.12845190  2.12845190  2.12845190  2.12845190
    -#>  [709]  2.12845190  2.12845190  2.12845190  2.12845190  2.12845190  2.12845190
    -#>  [715]  2.12845190  2.12845190  2.12845190  2.12845190  2.12845190  2.12845190
    -#>  [721] -0.74133610 -0.74133610 -0.74133610 -0.74133610 -0.74133610 -0.74133610
    -#>  [727] -0.74133610 -0.74133610 -0.74133610 -0.74133610 -0.74133610 -0.74133610
    -#>  [733] -0.74133610 -0.74133610 -0.74133610 -0.74133610 -0.74133610 -0.74133610
    -#>  [739] -0.74133610 -0.74133610 -0.74133610 -0.74133610 -0.74133610 -0.74133610
    -#>  [745] -0.74133610 -0.74133610 -0.74133610 -0.74133610 -0.74133610 -0.74133610
    -#>  [751] -1.09599627 -1.09599627 -1.09599627 -1.09599627 -1.09599627 -1.09599627
    -#>  [757] -1.09599627 -1.09599627 -1.09599627 -1.09599627 -1.09599627 -1.09599627
    -#>  [763] -1.09599627 -1.09599627 -1.09599627 -1.09599627 -1.09599627 -1.09599627
    -#>  [769] -1.09599627 -1.09599627 -1.09599627 -1.09599627 -1.09599627 -1.09599627
    -#>  [775] -1.09599627 -1.09599627 -1.09599627 -1.09599627 -1.09599627 -1.09599627
    -#>  [781]  0.03778840  0.03778840  0.03778840  0.03778840  0.03778840  0.03778840
    -#>  [787]  0.03778840  0.03778840  0.03778840  0.03778840  0.03778840  0.03778840
    -#>  [793]  0.03778840  0.03778840  0.03778840  0.03778840  0.03778840  0.03778840
    -#>  [799]  0.03778840  0.03778840  0.03778840  0.03778840  0.03778840  0.03778840
    -#>  [805]  0.03778840  0.03778840  0.03778840  0.03778840  0.03778840  0.03778840
    -#>  [811]  0.31048075  0.31048075  0.31048075  0.31048075  0.31048075  0.31048075
    -#>  [817]  0.31048075  0.31048075  0.31048075  0.31048075  0.31048075  0.31048075
    -#>  [823]  0.31048075  0.31048075  0.31048075  0.31048075  0.31048075  0.31048075
    -#>  [829]  0.31048075  0.31048075  0.31048075  0.31048075  0.31048075  0.31048075
    -#>  [835]  0.31048075  0.31048075  0.31048075  0.31048075  0.31048075  0.31048075
    -#>  [841]  0.43652348  0.43652348  0.43652348  0.43652348  0.43652348  0.43652348
    -#>  [847]  0.43652348  0.43652348  0.43652348  0.43652348  0.43652348  0.43652348
    -#>  [853]  0.43652348  0.43652348  0.43652348  0.43652348  0.43652348  0.43652348
    -#>  [859]  0.43652348  0.43652348  0.43652348  0.43652348  0.43652348  0.43652348
    -#>  [865]  0.43652348  0.43652348  0.43652348  0.43652348  0.43652348  0.43652348
    -#>  [871] -0.45836533 -0.45836533 -0.45836533 -0.45836533 -0.45836533 -0.45836533
    -#>  [877] -0.45836533 -0.45836533 -0.45836533 -0.45836533 -0.45836533 -0.45836533
    -#>  [883] -0.45836533 -0.45836533 -0.45836533 -0.45836533 -0.45836533 -0.45836533
    -#>  [889] -0.45836533 -0.45836533 -0.45836533 -0.45836533 -0.45836533 -0.45836533
    -#>  [895] -0.45836533 -0.45836533 -0.45836533 -0.45836533 -0.45836533 -0.45836533
    -#>  [901] -1.06332613 -1.06332613 -1.06332613 -1.06332613 -1.06332613 -1.06332613
    -#>  [907] -1.06332613 -1.06332613 -1.06332613 -1.06332613 -1.06332613 -1.06332613
    -#>  [913] -1.06332613 -1.06332613 -1.06332613 -1.06332613 -1.06332613 -1.06332613
    -#>  [919] -1.06332613 -1.06332613 -1.06332613 -1.06332613 -1.06332613 -1.06332613
    -#>  [925] -1.06332613 -1.06332613 -1.06332613 -1.06332613 -1.06332613 -1.06332613
    -#>  [931]  1.26318518  1.26318518  1.26318518  1.26318518  1.26318518  1.26318518
    -#>  [937]  1.26318518  1.26318518  1.26318518  1.26318518  1.26318518  1.26318518
    -#>  [943]  1.26318518  1.26318518  1.26318518  1.26318518  1.26318518  1.26318518
    -#>  [949]  1.26318518  1.26318518  1.26318518  1.26318518  1.26318518  1.26318518
    -#>  [955]  1.26318518  1.26318518  1.26318518  1.26318518  1.26318518  1.26318518
    -#>  [961] -0.34965039 -0.34965039 -0.34965039 -0.34965039 -0.34965039 -0.34965039
    -#>  [967] -0.34965039 -0.34965039 -0.34965039 -0.34965039 -0.34965039 -0.34965039
    -#>  [973] -0.34965039 -0.34965039 -0.34965039 -0.34965039 -0.34965039 -0.34965039
    -#>  [979] -0.34965039 -0.34965039 -0.34965039 -0.34965039 -0.34965039 -0.34965039
    -#>  [985] -0.34965039 -0.34965039 -0.34965039 -0.34965039 -0.34965039 -0.34965039
    -#>  [991] -0.86551286 -0.86551286 -0.86551286 -0.86551286 -0.86551286 -0.86551286
    -#>  [997] -0.86551286 -0.86551286 -0.86551286 -0.86551286 -0.86551286 -0.86551286
    -#> [1003] -0.86551286 -0.86551286 -0.86551286 -0.86551286 -0.86551286 -0.86551286
    -#> [1009] -0.86551286 -0.86551286 -0.86551286 -0.86551286 -0.86551286 -0.86551286
    -#> [1015] -0.86551286 -0.86551286 -0.86551286 -0.86551286 -0.86551286 -0.86551286
    -#> [1021] -0.23627957 -0.23627957 -0.23627957 -0.23627957 -0.23627957 -0.23627957
    -#> [1027] -0.23627957 -0.23627957 -0.23627957 -0.23627957 -0.23627957 -0.23627957
    -#> [1033] -0.23627957 -0.23627957 -0.23627957 -0.23627957 -0.23627957 -0.23627957
    -#> [1039] -0.23627957 -0.23627957 -0.23627957 -0.23627957 -0.23627957 -0.23627957
    -#> [1045] -0.23627957 -0.23627957 -0.23627957 -0.23627957 -0.23627957 -0.23627957
    -#> [1051] -0.19717589 -0.19717589 -0.19717589 -0.19717589 -0.19717589 -0.19717589
    -#> [1057] -0.19717589 -0.19717589 -0.19717589 -0.19717589 -0.19717589 -0.19717589
    -#> [1063] -0.19717589 -0.19717589 -0.19717589 -0.19717589 -0.19717589 -0.19717589
    -#> [1069] -0.19717589 -0.19717589 -0.19717589 -0.19717589 -0.19717589 -0.19717589
    -#> [1075] -0.19717589 -0.19717589 -0.19717589 -0.19717589 -0.19717589 -0.19717589
    -#> [1081]  1.10992029  1.10992029  1.10992029  1.10992029  1.10992029  1.10992029
    -#> [1087]  1.10992029  1.10992029  1.10992029  1.10992029  1.10992029  1.10992029
    -#> [1093]  1.10992029  1.10992029  1.10992029  1.10992029  1.10992029  1.10992029
    -#> [1099]  1.10992029  1.10992029  1.10992029  1.10992029  1.10992029  1.10992029
    -#> [1105]  1.10992029  1.10992029  1.10992029  1.10992029  1.10992029  1.10992029
    -#> [1111]  0.08473729  0.08473729  0.08473729  0.08473729  0.08473729  0.08473729
    -#> [1117]  0.08473729  0.08473729  0.08473729  0.08473729  0.08473729  0.08473729
    -#> [1123]  0.08473729  0.08473729  0.08473729  0.08473729  0.08473729  0.08473729
    -#> [1129]  0.08473729  0.08473729  0.08473729  0.08473729  0.08473729  0.08473729
    -#> [1135]  0.08473729  0.08473729  0.08473729  0.08473729  0.08473729  0.08473729
    -#> [1141]  0.75405379  0.75405379  0.75405379  0.75405379  0.75405379  0.75405379
    -#> [1147]  0.75405379  0.75405379  0.75405379  0.75405379  0.75405379  0.75405379
    -#> [1153]  0.75405379  0.75405379  0.75405379  0.75405379  0.75405379  0.75405379
    -#> [1159]  0.75405379  0.75405379  0.75405379  0.75405379  0.75405379  0.75405379
    -#> [1165]  0.75405379  0.75405379  0.75405379  0.75405379  0.75405379  0.75405379
    -#> [1171] -0.49929202 -0.49929202 -0.49929202 -0.49929202 -0.49929202 -0.49929202
    -#> [1177] -0.49929202 -0.49929202 -0.49929202 -0.49929202 -0.49929202 -0.49929202
    -#> [1183] -0.49929202 -0.49929202 -0.49929202 -0.49929202 -0.49929202 -0.49929202
    -#> [1189] -0.49929202 -0.49929202 -0.49929202 -0.49929202 -0.49929202 -0.49929202
    -#> [1195] -0.49929202 -0.49929202 -0.49929202 -0.49929202 -0.49929202 -0.49929202
    -#> [1201]  0.21444531  0.21444531  0.21444531  0.21444531  0.21444531  0.21444531
    -#> [1207]  0.21444531  0.21444531  0.21444531  0.21444531  0.21444531  0.21444531
    -#> [1213]  0.21444531  0.21444531  0.21444531  0.21444531  0.21444531  0.21444531
    -#> [1219]  0.21444531  0.21444531  0.21444531  0.21444531  0.21444531  0.21444531
    -#> [1225]  0.21444531  0.21444531  0.21444531  0.21444531  0.21444531  0.21444531
    -#> [1231] -0.32468591 -0.32468591 -0.32468591 -0.32468591 -0.32468591 -0.32468591
    -#> [1237] -0.32468591 -0.32468591 -0.32468591 -0.32468591 -0.32468591 -0.32468591
    -#> [1243] -0.32468591 -0.32468591 -0.32468591 -0.32468591 -0.32468591 -0.32468591
    -#> [1249] -0.32468591 -0.32468591 -0.32468591 -0.32468591 -0.32468591 -0.32468591
    -#> [1255] -0.32468591 -0.32468591 -0.32468591 -0.32468591 -0.32468591 -0.32468591
    -#> [1261]  0.09458353  0.09458353  0.09458353  0.09458353  0.09458353  0.09458353
    -#> [1267]  0.09458353  0.09458353  0.09458353  0.09458353  0.09458353  0.09458353
    -#> [1273]  0.09458353  0.09458353  0.09458353  0.09458353  0.09458353  0.09458353
    -#> [1279]  0.09458353  0.09458353  0.09458353  0.09458353  0.09458353  0.09458353
    -#> [1285]  0.09458353  0.09458353  0.09458353  0.09458353  0.09458353  0.09458353
    -#> [1291] -0.89536336 -0.89536336 -0.89536336 -0.89536336 -0.89536336 -0.89536336
    -#> [1297] -0.89536336 -0.89536336 -0.89536336 -0.89536336 -0.89536336 -0.89536336
    -#> [1303] -0.89536336 -0.89536336 -0.89536336 -0.89536336 -0.89536336 -0.89536336
    -#> [1309] -0.89536336 -0.89536336 -0.89536336 -0.89536336 -0.89536336 -0.89536336
    -#> [1315] -0.89536336 -0.89536336 -0.89536336 -0.89536336 -0.89536336 -0.89536336
    -#> [1321] -1.31080153 -1.31080153 -1.31080153 -1.31080153 -1.31080153 -1.31080153
    -#> [1327] -1.31080153 -1.31080153 -1.31080153 -1.31080153 -1.31080153 -1.31080153
    -#> [1333] -1.31080153 -1.31080153 -1.31080153 -1.31080153 -1.31080153 -1.31080153
    -#> [1339] -1.31080153 -1.31080153 -1.31080153 -1.31080153 -1.31080153 -1.31080153
    -#> [1345] -1.31080153 -1.31080153 -1.31080153 -1.31080153 -1.31080153 -1.31080153
    -#> [1351]  1.99721338  1.99721338  1.99721338  1.99721338  1.99721338  1.99721338
    -#> [1357]  1.99721338  1.99721338  1.99721338  1.99721338  1.99721338  1.99721338
    -#> [1363]  1.99721338  1.99721338  1.99721338  1.99721338  1.99721338  1.99721338
    -#> [1369]  1.99721338  1.99721338  1.99721338  1.99721338  1.99721338  1.99721338
    -#> [1375]  1.99721338  1.99721338  1.99721338  1.99721338  1.99721338  1.99721338
    -#> [1381]  0.60070882  0.60070882  0.60070882  0.60070882  0.60070882  0.60070882
    -#> [1387]  0.60070882  0.60070882  0.60070882  0.60070882  0.60070882  0.60070882
    -#> [1393]  0.60070882  0.60070882  0.60070882  0.60070882  0.60070882  0.60070882
    -#> [1399]  0.60070882  0.60070882  0.60070882  0.60070882  0.60070882  0.60070882
    -#> [1405]  0.60070882  0.60070882  0.60070882  0.60070882  0.60070882  0.60070882
    -#> [1411] -1.25127136 -1.25127136 -1.25127136 -1.25127136 -1.25127136 -1.25127136
    -#> [1417] -1.25127136 -1.25127136 -1.25127136 -1.25127136 -1.25127136 -1.25127136
    -#> [1423] -1.25127136 -1.25127136 -1.25127136 -1.25127136 -1.25127136 -1.25127136
    -#> [1429] -1.25127136 -1.25127136 -1.25127136 -1.25127136 -1.25127136 -1.25127136
    -#> [1435] -1.25127136 -1.25127136 -1.25127136 -1.25127136 -1.25127136 -1.25127136
    -#> [1441] -0.61116592 -0.61116592 -0.61116592 -0.61116592 -0.61116592 -0.61116592
    -#> [1447] -0.61116592 -0.61116592 -0.61116592 -0.61116592 -0.61116592 -0.61116592
    -#> [1453] -0.61116592 -0.61116592 -0.61116592 -0.61116592 -0.61116592 -0.61116592
    -#> [1459] -0.61116592 -0.61116592 -0.61116592 -0.61116592 -0.61116592 -0.61116592
    -#> [1465] -0.61116592 -0.61116592 -0.61116592 -0.61116592 -0.61116592 -0.61116592
    -#> [1471] -1.18548008 -1.18548008 -1.18548008 -1.18548008 -1.18548008 -1.18548008
    -#> [1477] -1.18548008 -1.18548008 -1.18548008 -1.18548008 -1.18548008 -1.18548008
    -#> [1483] -1.18548008 -1.18548008 -1.18548008 -1.18548008 -1.18548008 -1.18548008
    -#> [1489] -1.18548008 -1.18548008 -1.18548008 -1.18548008 -1.18548008 -1.18548008
    -#> [1495] -1.18548008 -1.18548008 -1.18548008 -1.18548008 -1.18548008 -1.18548008
    -#> 
    -#> $covariates$ec1
    -#>    [1]  0.67576242  0.67576242  0.67576242  0.67576242  0.67576242  0.67576242
    -#>    [7]  0.67576242  0.67576242  0.67576242  0.67576242  0.67576242  0.67576242
    -#>   [13]  0.67576242  0.67576242  0.67576242  0.67576242  0.67576242  0.67576242
    -#>   [19]  0.67576242  0.67576242  0.67576242  0.67576242  0.67576242  0.67576242
    -#>   [25]  0.67576242  0.67576242  0.67576242  0.67576242  0.67576242  0.67576242
    -#>   [31]  0.93560368  0.93560368  0.93560368  0.93560368  0.93560368  0.93560368
    -#>   [37]  0.93560368  0.93560368  0.93560368  0.93560368  0.93560368  0.93560368
    -#>   [43]  0.93560368  0.93560368  0.93560368  0.93560368  0.93560368  0.93560368
    -#>   [49]  0.93560368  0.93560368  0.93560368  0.93560368  0.93560368  0.93560368
    -#>   [55]  0.93560368  0.93560368  0.93560368  0.93560368  0.93560368  0.93560368
    -#>   [61] -0.10555991 -0.10555991 -0.10555991 -0.10555991 -0.10555991 -0.10555991
    -#>   [67] -0.10555991 -0.10555991 -0.10555991 -0.10555991 -0.10555991 -0.10555991
    -#>   [73] -0.10555991 -0.10555991 -0.10555991 -0.10555991 -0.10555991 -0.10555991
    -#>   [79] -0.10555991 -0.10555991 -0.10555991 -0.10555991 -0.10555991 -0.10555991
    -#>   [85] -0.10555991 -0.10555991 -0.10555991 -0.10555991 -0.10555991 -0.10555991
    -#>   [91]  1.39531344  1.39531344  1.39531344  1.39531344  1.39531344  1.39531344
    -#>   [97]  1.39531344  1.39531344  1.39531344  1.39531344  1.39531344  1.39531344
    -#>  [103]  1.39531344  1.39531344  1.39531344  1.39531344  1.39531344  1.39531344
    -#>  [109]  1.39531344  1.39531344  1.39531344  1.39531344  1.39531344  1.39531344
    -#>  [115]  1.39531344  1.39531344  1.39531344  1.39531344  1.39531344  1.39531344
    -#>  [121]  0.49030264  0.49030264  0.49030264  0.49030264  0.49030264  0.49030264
    -#>  [127]  0.49030264  0.49030264  0.49030264  0.49030264  0.49030264  0.49030264
    -#>  [133]  0.49030264  0.49030264  0.49030264  0.49030264  0.49030264  0.49030264
    -#>  [139]  0.49030264  0.49030264  0.49030264  0.49030264  0.49030264  0.49030264
    -#>  [145]  0.49030264  0.49030264  0.49030264  0.49030264  0.49030264  0.49030264
    -#>  [151] -1.02298384 -1.02298384 -1.02298384 -1.02298384 -1.02298384 -1.02298384
    -#>  [157] -1.02298384 -1.02298384 -1.02298384 -1.02298384 -1.02298384 -1.02298384
    -#>  [163] -1.02298384 -1.02298384 -1.02298384 -1.02298384 -1.02298384 -1.02298384
    -#>  [169] -1.02298384 -1.02298384 -1.02298384 -1.02298384 -1.02298384 -1.02298384
    -#>  [175] -1.02298384 -1.02298384 -1.02298384 -1.02298384 -1.02298384 -1.02298384
    -#>  [181]  1.57914556  1.57914556  1.57914556  1.57914556  1.57914556  1.57914556
    -#>  [187]  1.57914556  1.57914556  1.57914556  1.57914556  1.57914556  1.57914556
    -#>  [193]  1.57914556  1.57914556  1.57914556  1.57914556  1.57914556  1.57914556
    -#>  [199]  1.57914556  1.57914556  1.57914556  1.57914556  1.57914556  1.57914556
    -#>  [205]  1.57914556  1.57914556  1.57914556  1.57914556  1.57914556  1.57914556
    -#>  [211]  0.06923648  0.06923648  0.06923648  0.06923648  0.06923648  0.06923648
    -#>  [217]  0.06923648  0.06923648  0.06923648  0.06923648  0.06923648  0.06923648
    -#>  [223]  0.06923648  0.06923648  0.06923648  0.06923648  0.06923648  0.06923648
    -#>  [229]  0.06923648  0.06923648  0.06923648  0.06923648  0.06923648  0.06923648
    -#>  [235]  0.06923648  0.06923648  0.06923648  0.06923648  0.06923648  0.06923648
    -#>  [241] -0.84689639 -0.84689639 -0.84689639 -0.84689639 -0.84689639 -0.84689639
    -#>  [247] -0.84689639 -0.84689639 -0.84689639 -0.84689639 -0.84689639 -0.84689639
    -#>  [253] -0.84689639 -0.84689639 -0.84689639 -0.84689639 -0.84689639 -0.84689639
    -#>  [259] -0.84689639 -0.84689639 -0.84689639 -0.84689639 -0.84689639 -0.84689639
    -#>  [265] -0.84689639 -0.84689639 -0.84689639 -0.84689639 -0.84689639 -0.84689639
    -#>  [271] -0.14126176 -0.14126176 -0.14126176 -0.14126176 -0.14126176 -0.14126176
    -#>  [277] -0.14126176 -0.14126176 -0.14126176 -0.14126176 -0.14126176 -0.14126176
    -#>  [283] -0.14126176 -0.14126176 -0.14126176 -0.14126176 -0.14126176 -0.14126176
    -#>  [289] -0.14126176 -0.14126176 -0.14126176 -0.14126176 -0.14126176 -0.14126176
    -#>  [295] -0.14126176 -0.14126176 -0.14126176 -0.14126176 -0.14126176 -0.14126176
    -#>  [301]  0.35558761  0.35558761  0.35558761  0.35558761  0.35558761  0.35558761
    -#>  [307]  0.35558761  0.35558761  0.35558761  0.35558761  0.35558761  0.35558761
    -#>  [313]  0.35558761  0.35558761  0.35558761  0.35558761  0.35558761  0.35558761
    -#>  [319]  0.35558761  0.35558761  0.35558761  0.35558761  0.35558761  0.35558761
    -#>  [325]  0.35558761  0.35558761  0.35558761  0.35558761  0.35558761  0.35558761
    -#>  [331] -1.42110845 -1.42110845 -1.42110845 -1.42110845 -1.42110845 -1.42110845
    -#>  [337] -1.42110845 -1.42110845 -1.42110845 -1.42110845 -1.42110845 -1.42110845
    -#>  [343] -1.42110845 -1.42110845 -1.42110845 -1.42110845 -1.42110845 -1.42110845
    -#>  [349] -1.42110845 -1.42110845 -1.42110845 -1.42110845 -1.42110845 -1.42110845
    -#>  [355] -1.42110845 -1.42110845 -1.42110845 -1.42110845 -1.42110845 -1.42110845
    -#>  [361]  0.15670299  0.15670299  0.15670299  0.15670299  0.15670299  0.15670299
    -#>  [367]  0.15670299  0.15670299  0.15670299  0.15670299  0.15670299  0.15670299
    -#>  [373]  0.15670299  0.15670299  0.15670299  0.15670299  0.15670299  0.15670299
    -#>  [379]  0.15670299  0.15670299  0.15670299  0.15670299  0.15670299  0.15670299
    -#>  [385]  0.15670299  0.15670299  0.15670299  0.15670299  0.15670299  0.15670299
    -#>  [391] -1.84847278 -1.84847278 -1.84847278 -1.84847278 -1.84847278 -1.84847278
    -#>  [397] -1.84847278 -1.84847278 -1.84847278 -1.84847278 -1.84847278 -1.84847278
    -#>  [403] -1.84847278 -1.84847278 -1.84847278 -1.84847278 -1.84847278 -1.84847278
    -#>  [409] -1.84847278 -1.84847278 -1.84847278 -1.84847278 -1.84847278 -1.84847278
    -#>  [415] -1.84847278 -1.84847278 -1.84847278 -1.84847278 -1.84847278 -1.84847278
    -#>  [421]  0.05473653  0.05473653  0.05473653  0.05473653  0.05473653  0.05473653
    -#>  [427]  0.05473653  0.05473653  0.05473653  0.05473653  0.05473653  0.05473653
    -#>  [433]  0.05473653  0.05473653  0.05473653  0.05473653  0.05473653  0.05473653
    -#>  [439]  0.05473653  0.05473653  0.05473653  0.05473653  0.05473653  0.05473653
    -#>  [445]  0.05473653  0.05473653  0.05473653  0.05473653  0.05473653  0.05473653
    -#>  [451]  0.98605822  0.98605822  0.98605822  0.98605822  0.98605822  0.98605822
    -#>  [457]  0.98605822  0.98605822  0.98605822  0.98605822  0.98605822  0.98605822
    -#>  [463]  0.98605822  0.98605822  0.98605822  0.98605822  0.98605822  0.98605822
    -#>  [469]  0.98605822  0.98605822  0.98605822  0.98605822  0.98605822  0.98605822
    -#>  [475]  0.98605822  0.98605822  0.98605822  0.98605822  0.98605822  0.98605822
    -#>  [481] -0.32274636 -0.32274636 -0.32274636 -0.32274636 -0.32274636 -0.32274636
    -#>  [487] -0.32274636 -0.32274636 -0.32274636 -0.32274636 -0.32274636 -0.32274636
    -#>  [493] -0.32274636 -0.32274636 -0.32274636 -0.32274636 -0.32274636 -0.32274636
    -#>  [499] -0.32274636 -0.32274636 -0.32274636 -0.32274636 -0.32274636 -0.32274636
    -#>  [505] -0.32274636 -0.32274636 -0.32274636 -0.32274636 -0.32274636 -0.32274636
    -#>  [511] -0.30546964 -0.30546964 -0.30546964 -0.30546964 -0.30546964 -0.30546964
    -#>  [517] -0.30546964 -0.30546964 -0.30546964 -0.30546964 -0.30546964 -0.30546964
    -#>  [523] -0.30546964 -0.30546964 -0.30546964 -0.30546964 -0.30546964 -0.30546964
    -#>  [529] -0.30546964 -0.30546964 -0.30546964 -0.30546964 -0.30546964 -0.30546964
    -#>  [535] -0.30546964 -0.30546964 -0.30546964 -0.30546964 -0.30546964 -0.30546964
    -#>  [541] -0.08208690 -0.08208690 -0.08208690 -0.08208690 -0.08208690 -0.08208690
    -#>  [547] -0.08208690 -0.08208690 -0.08208690 -0.08208690 -0.08208690 -0.08208690
    -#>  [553] -0.08208690 -0.08208690 -0.08208690 -0.08208690 -0.08208690 -0.08208690
    -#>  [559] -0.08208690 -0.08208690 -0.08208690 -0.08208690 -0.08208690 -0.08208690
    -#>  [565] -0.08208690 -0.08208690 -0.08208690 -0.08208690 -0.08208690 -0.08208690
    -#>  [571]  0.31322877  0.31322877  0.31322877  0.31322877  0.31322877  0.31322877
    -#>  [577]  0.31322877  0.31322877  0.31322877  0.31322877  0.31322877  0.31322877
    -#>  [583]  0.31322877  0.31322877  0.31322877  0.31322877  0.31322877  0.31322877
    -#>  [589]  0.31322877  0.31322877  0.31322877  0.31322877  0.31322877  0.31322877
    -#>  [595]  0.31322877  0.31322877  0.31322877  0.31322877  0.31322877  0.31322877
    -#>  [601] -0.52261670 -0.52261670 -0.52261670 -0.52261670 -0.52261670 -0.52261670
    -#>  [607] -0.52261670 -0.52261670 -0.52261670 -0.52261670 -0.52261670 -0.52261670
    -#>  [613] -0.52261670 -0.52261670 -0.52261670 -0.52261670 -0.52261670 -0.52261670
    -#>  [619] -0.52261670 -0.52261670 -0.52261670 -0.52261670 -0.52261670 -0.52261670
    -#>  [625] -0.52261670 -0.52261670 -0.52261670 -0.52261670 -0.52261670 -0.52261670
    -#>  [631] -0.01798024 -0.01798024 -0.01798024 -0.01798024 -0.01798024 -0.01798024
    -#>  [637] -0.01798024 -0.01798024 -0.01798024 -0.01798024 -0.01798024 -0.01798024
    -#>  [643] -0.01798024 -0.01798024 -0.01798024 -0.01798024 -0.01798024 -0.01798024
    -#>  [649] -0.01798024 -0.01798024 -0.01798024 -0.01798024 -0.01798024 -0.01798024
    -#>  [655] -0.01798024 -0.01798024 -0.01798024 -0.01798024 -0.01798024 -0.01798024
    -#>  [661]  0.24972574  0.24972574  0.24972574  0.24972574  0.24972574  0.24972574
    -#>  [667]  0.24972574  0.24972574  0.24972574  0.24972574  0.24972574  0.24972574
    -#>  [673]  0.24972574  0.24972574  0.24972574  0.24972574  0.24972574  0.24972574
    -#>  [679]  0.24972574  0.24972574  0.24972574  0.24972574  0.24972574  0.24972574
    -#>  [685]  0.24972574  0.24972574  0.24972574  0.24972574  0.24972574  0.24972574
    -#>  [691]  2.79739115  2.79739115  2.79739115  2.79739115  2.79739115  2.79739115
    -#>  [697]  2.79739115  2.79739115  2.79739115  2.79739115  2.79739115  2.79739115
    -#>  [703]  2.79739115  2.79739115  2.79739115  2.79739115  2.79739115  2.79739115
    -#>  [709]  2.79739115  2.79739115  2.79739115  2.79739115  2.79739115  2.79739115
    -#>  [715]  2.79739115  2.79739115  2.79739115  2.79739115  2.79739115  2.79739115
    -#>  [721] -0.21124692 -0.21124692 -0.21124692 -0.21124692 -0.21124692 -0.21124692
    -#>  [727] -0.21124692 -0.21124692 -0.21124692 -0.21124692 -0.21124692 -0.21124692
    -#>  [733] -0.21124692 -0.21124692 -0.21124692 -0.21124692 -0.21124692 -0.21124692
    -#>  [739] -0.21124692 -0.21124692 -0.21124692 -0.21124692 -0.21124692 -0.21124692
    -#>  [745] -0.21124692 -0.21124692 -0.21124692 -0.21124692 -0.21124692 -0.21124692
    -#>  [751]  0.28558958  0.28558958  0.28558958  0.28558958  0.28558958  0.28558958
    -#>  [757]  0.28558958  0.28558958  0.28558958  0.28558958  0.28558958  0.28558958
    -#>  [763]  0.28558958  0.28558958  0.28558958  0.28558958  0.28558958  0.28558958
    -#>  [769]  0.28558958  0.28558958  0.28558958  0.28558958  0.28558958  0.28558958
    -#>  [775]  0.28558958  0.28558958  0.28558958  0.28558958  0.28558958  0.28558958
    -#>  [781]  1.39857201  1.39857201  1.39857201  1.39857201  1.39857201  1.39857201
    -#>  [787]  1.39857201  1.39857201  1.39857201  1.39857201  1.39857201  1.39857201
    -#>  [793]  1.39857201  1.39857201  1.39857201  1.39857201  1.39857201  1.39857201
    -#>  [799]  1.39857201  1.39857201  1.39857201  1.39857201  1.39857201  1.39857201
    -#>  [805]  1.39857201  1.39857201  1.39857201  1.39857201  1.39857201  1.39857201
    -#>  [811]  1.65354723  1.65354723  1.65354723  1.65354723  1.65354723  1.65354723
    -#>  [817]  1.65354723  1.65354723  1.65354723  1.65354723  1.65354723  1.65354723
    -#>  [823]  1.65354723  1.65354723  1.65354723  1.65354723  1.65354723  1.65354723
    -#>  [829]  1.65354723  1.65354723  1.65354723  1.65354723  1.65354723  1.65354723
    -#>  [835]  1.65354723  1.65354723  1.65354723  1.65354723  1.65354723  1.65354723
    -#>  [841] -1.19693521 -1.19693521 -1.19693521 -1.19693521 -1.19693521 -1.19693521
    -#>  [847] -1.19693521 -1.19693521 -1.19693521 -1.19693521 -1.19693521 -1.19693521
    -#>  [853] -1.19693521 -1.19693521 -1.19693521 -1.19693521 -1.19693521 -1.19693521
    -#>  [859] -1.19693521 -1.19693521 -1.19693521 -1.19693521 -1.19693521 -1.19693521
    -#>  [865] -1.19693521 -1.19693521 -1.19693521 -1.19693521 -1.19693521 -1.19693521
    -#>  [871]  0.05491197  0.05491197  0.05491197  0.05491197  0.05491197  0.05491197
    -#>  [877]  0.05491197  0.05491197  0.05491197  0.05491197  0.05491197  0.05491197
    -#>  [883]  0.05491197  0.05491197  0.05491197  0.05491197  0.05491197  0.05491197
    -#>  [889]  0.05491197  0.05491197  0.05491197  0.05491197  0.05491197  0.05491197
    -#>  [895]  0.05491197  0.05491197  0.05491197  0.05491197  0.05491197  0.05491197
    -#>  [901] -0.08893057 -0.08893057 -0.08893057 -0.08893057 -0.08893057 -0.08893057
    -#>  [907] -0.08893057 -0.08893057 -0.08893057 -0.08893057 -0.08893057 -0.08893057
    -#>  [913] -0.08893057 -0.08893057 -0.08893057 -0.08893057 -0.08893057 -0.08893057
    -#>  [919] -0.08893057 -0.08893057 -0.08893057 -0.08893057 -0.08893057 -0.08893057
    -#>  [925] -0.08893057 -0.08893057 -0.08893057 -0.08893057 -0.08893057 -0.08893057
    -#>  [931] -1.31345092 -1.31345092 -1.31345092 -1.31345092 -1.31345092 -1.31345092
    -#>  [937] -1.31345092 -1.31345092 -1.31345092 -1.31345092 -1.31345092 -1.31345092
    -#>  [943] -1.31345092 -1.31345092 -1.31345092 -1.31345092 -1.31345092 -1.31345092
    -#>  [949] -1.31345092 -1.31345092 -1.31345092 -1.31345092 -1.31345092 -1.31345092
    -#>  [955] -1.31345092 -1.31345092 -1.31345092 -1.31345092 -1.31345092 -1.31345092
    -#>  [961]  0.33143440  0.33143440  0.33143440  0.33143440  0.33143440  0.33143440
    -#>  [967]  0.33143440  0.33143440  0.33143440  0.33143440  0.33143440  0.33143440
    -#>  [973]  0.33143440  0.33143440  0.33143440  0.33143440  0.33143440  0.33143440
    -#>  [979]  0.33143440  0.33143440  0.33143440  0.33143440  0.33143440  0.33143440
    -#>  [985]  0.33143440  0.33143440  0.33143440  0.33143440  0.33143440  0.33143440
    -#>  [991]  1.15791047  1.15791047  1.15791047  1.15791047  1.15791047  1.15791047
    -#>  [997]  1.15791047  1.15791047  1.15791047  1.15791047  1.15791047  1.15791047
    -#> [1003]  1.15791047  1.15791047  1.15791047  1.15791047  1.15791047  1.15791047
    -#> [1009]  1.15791047  1.15791047  1.15791047  1.15791047  1.15791047  1.15791047
    -#> [1015]  1.15791047  1.15791047  1.15791047  1.15791047  1.15791047  1.15791047
    -#> [1021]  0.71633162  0.71633162  0.71633162  0.71633162  0.71633162  0.71633162
    -#> [1027]  0.71633162  0.71633162  0.71633162  0.71633162  0.71633162  0.71633162
    -#> [1033]  0.71633162  0.71633162  0.71633162  0.71633162  0.71633162  0.71633162
    -#> [1039]  0.71633162  0.71633162  0.71633162  0.71633162  0.71633162  0.71633162
    -#> [1045]  0.71633162  0.71633162  0.71633162  0.71633162  0.71633162  0.71633162
    -#> [1051]  1.11613662  1.11613662  1.11613662  1.11613662  1.11613662  1.11613662
    -#> [1057]  1.11613662  1.11613662  1.11613662  1.11613662  1.11613662  1.11613662
    -#> [1063]  1.11613662  1.11613662  1.11613662  1.11613662  1.11613662  1.11613662
    -#> [1069]  1.11613662  1.11613662  1.11613662  1.11613662  1.11613662  1.11613662
    -#> [1075]  1.11613662  1.11613662  1.11613662  1.11613662  1.11613662  1.11613662
    -#> [1081] -1.08914519 -1.08914519 -1.08914519 -1.08914519 -1.08914519 -1.08914519
    -#> [1087] -1.08914519 -1.08914519 -1.08914519 -1.08914519 -1.08914519 -1.08914519
    -#> [1093] -1.08914519 -1.08914519 -1.08914519 -1.08914519 -1.08914519 -1.08914519
    -#> [1099] -1.08914519 -1.08914519 -1.08914519 -1.08914519 -1.08914519 -1.08914519
    -#> [1105] -1.08914519 -1.08914519 -1.08914519 -1.08914519 -1.08914519 -1.08914519
    -#> [1111]  0.53513796  0.53513796  0.53513796  0.53513796  0.53513796  0.53513796
    -#> [1117]  0.53513796  0.53513796  0.53513796  0.53513796  0.53513796  0.53513796
    -#> [1123]  0.53513796  0.53513796  0.53513796  0.53513796  0.53513796  0.53513796
    -#> [1129]  0.53513796  0.53513796  0.53513796  0.53513796  0.53513796  0.53513796
    -#> [1135]  0.53513796  0.53513796  0.53513796  0.53513796  0.53513796  0.53513796
    -#> [1141]  0.34288839  0.34288839  0.34288839  0.34288839  0.34288839  0.34288839
    -#> [1147]  0.34288839  0.34288839  0.34288839  0.34288839  0.34288839  0.34288839
    -#> [1153]  0.34288839  0.34288839  0.34288839  0.34288839  0.34288839  0.34288839
    -#> [1159]  0.34288839  0.34288839  0.34288839  0.34288839  0.34288839  0.34288839
    -#> [1165]  0.34288839  0.34288839  0.34288839  0.34288839  0.34288839  0.34288839
    -#> [1171]  0.23063364  0.23063364  0.23063364  0.23063364  0.23063364  0.23063364
    -#> [1177]  0.23063364  0.23063364  0.23063364  0.23063364  0.23063364  0.23063364
    -#> [1183]  0.23063364  0.23063364  0.23063364  0.23063364  0.23063364  0.23063364
    -#> [1189]  0.23063364  0.23063364  0.23063364  0.23063364  0.23063364  0.23063364
    -#> [1195]  0.23063364  0.23063364  0.23063364  0.23063364  0.23063364  0.23063364
    -#> [1201] -0.89152157 -0.89152157 -0.89152157 -0.89152157 -0.89152157 -0.89152157
    -#> [1207] -0.89152157 -0.89152157 -0.89152157 -0.89152157 -0.89152157 -0.89152157
    -#> [1213] -0.89152157 -0.89152157 -0.89152157 -0.89152157 -0.89152157 -0.89152157
    -#> [1219] -0.89152157 -0.89152157 -0.89152157 -0.89152157 -0.89152157 -0.89152157
    -#> [1225] -0.89152157 -0.89152157 -0.89152157 -0.89152157 -0.89152157 -0.89152157
    -#> [1231]  1.76990411  1.76990411  1.76990411  1.76990411  1.76990411  1.76990411
    -#> [1237]  1.76990411  1.76990411  1.76990411  1.76990411  1.76990411  1.76990411
    -#> [1243]  1.76990411  1.76990411  1.76990411  1.76990411  1.76990411  1.76990411
    -#> [1249]  1.76990411  1.76990411  1.76990411  1.76990411  1.76990411  1.76990411
    -#> [1255]  1.76990411  1.76990411  1.76990411  1.76990411  1.76990411  1.76990411
    -#> [1261] -0.63096787 -0.63096787 -0.63096787 -0.63096787 -0.63096787 -0.63096787
    -#> [1267] -0.63096787 -0.63096787 -0.63096787 -0.63096787 -0.63096787 -0.63096787
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    -#> [1279] -0.63096787 -0.63096787 -0.63096787 -0.63096787 -0.63096787 -0.63096787
    -#> [1285] -0.63096787 -0.63096787 -0.63096787 -0.63096787 -0.63096787 -0.63096787
    -#> [1291]  0.48409939  0.48409939  0.48409939  0.48409939  0.48409939  0.48409939
    -#> [1297]  0.48409939  0.48409939  0.48409939  0.48409939  0.48409939  0.48409939
    -#> [1303]  0.48409939  0.48409939  0.48409939  0.48409939  0.48409939  0.48409939
    -#> [1309]  0.48409939  0.48409939  0.48409939  0.48409939  0.48409939  0.48409939
    -#> [1315]  0.48409939  0.48409939  0.48409939  0.48409939  0.48409939  0.48409939
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    -#> [1339] -0.93656903 -0.93656903 -0.93656903 -0.93656903 -0.93656903 -0.93656903
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    -#> [1405] -0.62492839 -0.62492839 -0.62492839 -0.62492839 -0.62492839 -0.62492839
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    -#> [1417]  1.05766417  1.05766417  1.05766417  1.05766417  1.05766417  1.05766417
    -#> [1423]  1.05766417  1.05766417  1.05766417  1.05766417  1.05766417  1.05766417
    -#> [1429]  1.05766417  1.05766417  1.05766417  1.05766417  1.05766417  1.05766417
    -#> [1435]  1.05766417  1.05766417  1.05766417  1.05766417  1.05766417  1.05766417
    -#> [1441]  1.57530771  1.57530771  1.57530771  1.57530771  1.57530771  1.57530771
    -#> [1447]  1.57530771  1.57530771  1.57530771  1.57530771  1.57530771  1.57530771
    -#> [1453]  1.57530771  1.57530771  1.57530771  1.57530771  1.57530771  1.57530771
    -#> [1459]  1.57530771  1.57530771  1.57530771  1.57530771  1.57530771  1.57530771
    -#> [1465]  1.57530771  1.57530771  1.57530771  1.57530771  1.57530771  1.57530771
    -#> [1471] -0.05003727 -0.05003727 -0.05003727 -0.05003727 -0.05003727 -0.05003727
    -#> [1477] -0.05003727 -0.05003727 -0.05003727 -0.05003727 -0.05003727 -0.05003727
    -#> [1483] -0.05003727 -0.05003727 -0.05003727 -0.05003727 -0.05003727 -0.05003727
    -#> [1489] -0.05003727 -0.05003727 -0.05003727 -0.05003727 -0.05003727 -0.05003727
    -#> [1495] -0.05003727 -0.05003727 -0.05003727 -0.05003727 -0.05003727 -0.05003727
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    -#> [1705] -0.15689195 -0.15689195 -0.15689195 -0.15689195 -0.15689195 -0.15689195
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    -#> [1729]  0.09690423  0.09690423  0.09690423  0.09690423  0.09690423  0.09690423
    -#> [1735]  0.09690423  0.09690423  0.09690423  0.09690423  0.09690423  0.09690423
    -#> [1741]  1.19707766  1.19707766  1.19707766  1.19707766  1.19707766  1.19707766
    -#> [1747]  1.19707766  1.19707766  1.19707766  1.19707766  1.19707766  1.19707766
    -#> [1753]  1.19707766  1.19707766  1.19707766  1.19707766  1.19707766  1.19707766
    -#> [1759]  1.19707766  1.19707766  1.19707766  1.19707766  1.19707766  1.19707766
    -#> [1765]  1.19707766  1.19707766  1.19707766  1.19707766  1.19707766  1.19707766
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    -#> [1795] -1.00537758 -1.00537758 -1.00537758 -1.00537758 -1.00537758 -1.00537758
    -#> [1801] -1.62185826 -1.62185826 -1.62185826 -1.62185826 -1.62185826 -1.62185826
    -#> [1807] -1.62185826 -1.62185826 -1.62185826 -1.62185826 -1.62185826 -1.62185826
    -#> [1813] -1.62185826 -1.62185826 -1.62185826 -1.62185826 -1.62185826 -1.62185826
    -#> [1819] -1.62185826 -1.62185826 -1.62185826 -1.62185826 -1.62185826 -1.62185826
    -#> [1825] -1.62185826 -1.62185826 -1.62185826 -1.62185826 -1.62185826 -1.62185826
    -#> [1831]  0.95536564  0.95536564  0.95536564  0.95536564  0.95536564  0.95536564
    -#> [1837]  0.95536564  0.95536564  0.95536564  0.95536564  0.95536564  0.95536564
    -#> [1843]  0.95536564  0.95536564  0.95536564  0.95536564  0.95536564  0.95536564
    -#> [1849]  0.95536564  0.95536564  0.95536564  0.95536564  0.95536564  0.95536564
    -#> [1855]  0.95536564  0.95536564  0.95536564  0.95536564  0.95536564  0.95536564
    -#> [1861]  0.04673353  0.04673353  0.04673353  0.04673353  0.04673353  0.04673353
    -#> [1867]  0.04673353  0.04673353  0.04673353  0.04673353  0.04673353  0.04673353
    -#> [1873]  0.04673353  0.04673353  0.04673353  0.04673353  0.04673353  0.04673353
    -#> [1879]  0.04673353  0.04673353  0.04673353  0.04673353  0.04673353  0.04673353
    -#> [1885]  0.04673353  0.04673353  0.04673353  0.04673353  0.04673353  0.04673353
    -#> [1891] -1.67112706 -1.67112706 -1.67112706 -1.67112706 -1.67112706 -1.67112706
    -#> [1897] -1.67112706 -1.67112706 -1.67112706 -1.67112706 -1.67112706 -1.67112706
    -#> [1903] -1.67112706 -1.67112706 -1.67112706 -1.67112706 -1.67112706 -1.67112706
    -#> [1909] -1.67112706 -1.67112706 -1.67112706 -1.67112706 -1.67112706 -1.67112706
    -#> [1915] -1.67112706 -1.67112706 -1.67112706 -1.67112706 -1.67112706 -1.67112706
    -#> [1921] -2.11120837 -2.11120837 -2.11120837 -2.11120837 -2.11120837 -2.11120837
    -#> [1927] -2.11120837 -2.11120837 -2.11120837 -2.11120837 -2.11120837 -2.11120837
    -#> [1933] -2.11120837 -2.11120837 -2.11120837 -2.11120837 -2.11120837 -2.11120837
    -#> [1939] -2.11120837 -2.11120837 -2.11120837 -2.11120837 -2.11120837 -2.11120837
    -#> [1945] -2.11120837 -2.11120837 -2.11120837 -2.11120837 -2.11120837 -2.11120837
    -#> [1951] -1.09849001 -1.09849001 -1.09849001 -1.09849001 -1.09849001 -1.09849001
    -#> [1957] -1.09849001 -1.09849001 -1.09849001 -1.09849001 -1.09849001 -1.09849001
    -#> [1963] -1.09849001 -1.09849001 -1.09849001 -1.09849001 -1.09849001 -1.09849001
    -#> [1969] -1.09849001 -1.09849001 -1.09849001 -1.09849001 -1.09849001 -1.09849001
    -#> [1975] -1.09849001 -1.09849001 -1.09849001 -1.09849001 -1.09849001 -1.09849001
    -#> [1981]  0.14641718  0.14641718  0.14641718  0.14641718  0.14641718  0.14641718
    -#> [1987]  0.14641718  0.14641718  0.14641718  0.14641718  0.14641718  0.14641718
    -#> [1993]  0.14641718  0.14641718  0.14641718  0.14641718  0.14641718  0.14641718
    -#> [1999]  0.14641718  0.14641718  0.14641718  0.14641718  0.14641718  0.14641718
    -#> [2005]  0.14641718  0.14641718  0.14641718  0.14641718  0.14641718  0.14641718
    -#> [2011] -0.51675945 -0.51675945 -0.51675945 -0.51675945 -0.51675945 -0.51675945
    -#> [2017] -0.51675945 -0.51675945 -0.51675945 -0.51675945 -0.51675945 -0.51675945
    -#> [2023] -0.51675945 -0.51675945 -0.51675945 -0.51675945 -0.51675945 -0.51675945
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    -#> [2035] -0.51675945 -0.51675945 -0.51675945 -0.51675945 -0.51675945 -0.51675945
    -#> [2041]  0.78713361  0.78713361  0.78713361  0.78713361  0.78713361  0.78713361
    -#> [2047]  0.78713361  0.78713361  0.78713361  0.78713361  0.78713361  0.78713361
    -#> [2053]  0.78713361  0.78713361  0.78713361  0.78713361  0.78713361  0.78713361
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    -#> [2065]  0.78713361  0.78713361  0.78713361  0.78713361  0.78713361  0.78713361
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    -#> [2125] -0.24919068 -0.24919068 -0.24919068 -0.24919068 -0.24919068 -0.24919068
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    -#> [2149] -0.13217513 -0.13217513 -0.13217513 -0.13217513 -0.13217513 -0.13217513
    -#> [2155] -0.13217513 -0.13217513 -0.13217513 -0.13217513 -0.13217513 -0.13217513
    -#> [2161]  2.41620737  2.41620737  2.41620737  2.41620737  2.41620737  2.41620737
    -#> [2167]  2.41620737  2.41620737  2.41620737  2.41620737  2.41620737  2.41620737
    -#> [2173]  2.41620737  2.41620737  2.41620737  2.41620737  2.41620737  2.41620737
    -#> [2179]  2.41620737  2.41620737  2.41620737  2.41620737  2.41620737  2.41620737
    -#> [2185]  2.41620737  2.41620737  2.41620737  2.41620737  2.41620737  2.41620737
    -#> [2191]  2.83222602  2.83222602  2.83222602  2.83222602  2.83222602  2.83222602
    -#> [2197]  2.83222602  2.83222602  2.83222602  2.83222602  2.83222602  2.83222602
    -#> [2203]  2.83222602  2.83222602  2.83222602  2.83222602  2.83222602  2.83222602
    -#> [2209]  2.83222602  2.83222602  2.83222602  2.83222602  2.83222602  2.83222602
    -#> [2215]  2.83222602  2.83222602  2.83222602  2.83222602  2.83222602  2.83222602
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    -#> [2239]  0.18705115  0.18705115  0.18705115  0.18705115  0.18705115  0.18705115
    -#> [2245]  0.18705115  0.18705115  0.18705115  0.18705115  0.18705115  0.18705115
    -#> [2251]  1.74924736  1.74924736  1.74924736  1.74924736  1.74924736  1.74924736
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    -#> [5275] -0.16292671 -0.16292671 -0.16292671 -0.16292671 -0.16292671 -0.16292671
    -#> [5281]  0.22855697  0.22855697  0.22855697  0.22855697  0.22855697  0.22855697
    -#> [5287]  0.22855697  0.22855697  0.22855697  0.22855697  0.22855697  0.22855697
    -#> [5293]  0.22855697  0.22855697  0.22855697  0.22855697  0.22855697  0.22855697
    -#> [5299]  0.22855697  0.22855697  0.22855697  0.22855697  0.22855697  0.22855697
    -#> [5305]  0.22855697  0.22855697  0.22855697  0.22855697  0.22855697  0.22855697
    -#> [5311]  0.72122081  0.72122081  0.72122081  0.72122081  0.72122081  0.72122081
    -#> [5317]  0.72122081  0.72122081  0.72122081  0.72122081  0.72122081  0.72122081
    -#> [5323]  0.72122081  0.72122081  0.72122081  0.72122081  0.72122081  0.72122081
    -#> [5329]  0.72122081  0.72122081  0.72122081  0.72122081  0.72122081  0.72122081
    -#> [5335]  0.72122081  0.72122081  0.72122081  0.72122081  0.72122081  0.72122081
    -#> [5341] -0.45801807 -0.45801807 -0.45801807 -0.45801807 -0.45801807 -0.45801807
    -#> [5347] -0.45801807 -0.45801807 -0.45801807 -0.45801807 -0.45801807 -0.45801807
    -#> [5353] -0.45801807 -0.45801807 -0.45801807 -0.45801807 -0.45801807 -0.45801807
    -#> [5359] -0.45801807 -0.45801807 -0.45801807 -0.45801807 -0.45801807 -0.45801807
    -#> [5365] -0.45801807 -0.45801807 -0.45801807 -0.45801807 -0.45801807 -0.45801807
    -#> [5371]  0.60613026  0.60613026  0.60613026  0.60613026  0.60613026  0.60613026
    -#> [5377]  0.60613026  0.60613026  0.60613026  0.60613026  0.60613026  0.60613026
    -#> [5383]  0.60613026  0.60613026  0.60613026  0.60613026  0.60613026  0.60613026
    -#> [5389]  0.60613026  0.60613026  0.60613026  0.60613026  0.60613026  0.60613026
    -#> [5395]  0.60613026  0.60613026  0.60613026  0.60613026  0.60613026  0.60613026
    -#> [5401] -1.02040059 -1.02040059 -1.02040059 -1.02040059 -1.02040059 -1.02040059
    -#> [5407] -1.02040059 -1.02040059 -1.02040059 -1.02040059 -1.02040059 -1.02040059
    -#> [5413] -1.02040059 -1.02040059 -1.02040059 -1.02040059 -1.02040059 -1.02040059
    -#> [5419] -1.02040059 -1.02040059 -1.02040059 -1.02040059 -1.02040059 -1.02040059
    -#> [5425] -1.02040059 -1.02040059 -1.02040059 -1.02040059 -1.02040059 -1.02040059
    -#> [5431]  0.05576477  0.05576477  0.05576477  0.05576477  0.05576477  0.05576477
    -#> [5437]  0.05576477  0.05576477  0.05576477  0.05576477  0.05576477  0.05576477
    -#> [5443]  0.05576477  0.05576477  0.05576477  0.05576477  0.05576477  0.05576477
    -#> [5449]  0.05576477  0.05576477  0.05576477  0.05576477  0.05576477  0.05576477
    -#> [5455]  0.05576477  0.05576477  0.05576477  0.05576477  0.05576477  0.05576477
    -#> [5461] -0.95167954 -0.95167954 -0.95167954 -0.95167954 -0.95167954 -0.95167954
    -#> [5467] -0.95167954 -0.95167954 -0.95167954 -0.95167954 -0.95167954 -0.95167954
    -#> [5473] -0.95167954 -0.95167954 -0.95167954 -0.95167954 -0.95167954 -0.95167954
    -#> [5479] -0.95167954 -0.95167954 -0.95167954 -0.95167954 -0.95167954 -0.95167954
    -#> [5485] -0.95167954 -0.95167954 -0.95167954 -0.95167954 -0.95167954 -0.95167954
    -#> [5491]  0.05455325  0.05455325  0.05455325  0.05455325  0.05455325  0.05455325
    -#> [5497]  0.05455325  0.05455325  0.05455325  0.05455325  0.05455325  0.05455325
    -#> [5503]  0.05455325  0.05455325  0.05455325  0.05455325  0.05455325  0.05455325
    -#> [5509]  0.05455325  0.05455325  0.05455325  0.05455325  0.05455325  0.05455325
    -#> [5515]  0.05455325  0.05455325  0.05455325  0.05455325  0.05455325  0.05455325
    -#> [5521] -0.61298775 -0.61298775 -0.61298775 -0.61298775 -0.61298775 -0.61298775
    -#> [5527] -0.61298775 -0.61298775 -0.61298775 -0.61298775 -0.61298775 -0.61298775
    -#> [5533] -0.61298775 -0.61298775 -0.61298775 -0.61298775 -0.61298775 -0.61298775
    -#> [5539] -0.61298775 -0.61298775 -0.61298775 -0.61298775 -0.61298775 -0.61298775
    -#> [5545] -0.61298775 -0.61298775 -0.61298775 -0.61298775 -0.61298775 -0.61298775
    -#> [5551] -0.97592669 -0.97592669 -0.97592669 -0.97592669 -0.97592669 -0.97592669
    -#> [5557] -0.97592669 -0.97592669 -0.97592669 -0.97592669 -0.97592669 -0.97592669
    -#> [5563] -0.97592669 -0.97592669 -0.97592669 -0.97592669 -0.97592669 -0.97592669
    -#> [5569] -0.97592669 -0.97592669 -0.97592669 -0.97592669 -0.97592669 -0.97592669
    -#> [5575] -0.97592669 -0.97592669 -0.97592669 -0.97592669 -0.97592669 -0.97592669
    -#> [5581]  1.77910267  1.77910267  1.77910267  1.77910267  1.77910267  1.77910267
    -#> [5587]  1.77910267  1.77910267  1.77910267  1.77910267  1.77910267  1.77910267
    -#> [5593]  1.77910267  1.77910267  1.77910267  1.77910267  1.77910267  1.77910267
    -#> [5599]  1.77910267  1.77910267  1.77910267  1.77910267  1.77910267  1.77910267
    -#> [5605]  1.77910267  1.77910267  1.77910267  1.77910267  1.77910267  1.77910267
    -#> [5611] -0.58240167 -0.58240167 -0.58240167 -0.58240167 -0.58240167 -0.58240167
    -#> [5617] -0.58240167 -0.58240167 -0.58240167 -0.58240167 -0.58240167 -0.58240167
    -#> [5623] -0.58240167 -0.58240167 -0.58240167 -0.58240167 -0.58240167 -0.58240167
    -#> [5629] -0.58240167 -0.58240167 -0.58240167 -0.58240167 -0.58240167 -0.58240167
    -#> [5635] -0.58240167 -0.58240167 -0.58240167 -0.58240167 -0.58240167 -0.58240167
    -#> [5641] -0.33433805 -0.33433805 -0.33433805 -0.33433805 -0.33433805 -0.33433805
    -#> [5647] -0.33433805 -0.33433805 -0.33433805 -0.33433805 -0.33433805 -0.33433805
    -#> [5653] -0.33433805 -0.33433805 -0.33433805 -0.33433805 -0.33433805 -0.33433805
    -#> [5659] -0.33433805 -0.33433805 -0.33433805 -0.33433805 -0.33433805 -0.33433805
    -#> [5665] -0.33433805 -0.33433805 -0.33433805 -0.33433805 -0.33433805 -0.33433805
    -#> [5671] -1.02362359 -1.02362359 -1.02362359 -1.02362359 -1.02362359 -1.02362359
    -#> [5677] -1.02362359 -1.02362359 -1.02362359 -1.02362359 -1.02362359 -1.02362359
    -#> [5683] -1.02362359 -1.02362359 -1.02362359 -1.02362359 -1.02362359 -1.02362359
    -#> [5689] -1.02362359 -1.02362359 -1.02362359 -1.02362359 -1.02362359 -1.02362359
    -#> [5695] -1.02362359 -1.02362359 -1.02362359 -1.02362359 -1.02362359 -1.02362359
    -#> [5701] -1.74837228 -1.74837228 -1.74837228 -1.74837228 -1.74837228 -1.74837228
    -#> [5707] -1.74837228 -1.74837228 -1.74837228 -1.74837228 -1.74837228 -1.74837228
    -#> [5713] -1.74837228 -1.74837228 -1.74837228 -1.74837228 -1.74837228 -1.74837228
    -#> [5719] -1.74837228 -1.74837228 -1.74837228 -1.74837228 -1.74837228 -1.74837228
    -#> [5725] -1.74837228 -1.74837228 -1.74837228 -1.74837228 -1.74837228 -1.74837228
    -#> [5731]  1.01724925  1.01724925  1.01724925  1.01724925  1.01724925  1.01724925
    -#> [5737]  1.01724925  1.01724925  1.01724925  1.01724925  1.01724925  1.01724925
    -#> [5743]  1.01724925  1.01724925  1.01724925  1.01724925  1.01724925  1.01724925
    -#> [5749]  1.01724925  1.01724925  1.01724925  1.01724925  1.01724925  1.01724925
    -#> [5755]  1.01724925  1.01724925  1.01724925  1.01724925  1.01724925  1.01724925
    -#> [5761]  1.04062315  1.04062315  1.04062315  1.04062315  1.04062315  1.04062315
    -#> [5767]  1.04062315  1.04062315  1.04062315  1.04062315  1.04062315  1.04062315
    -#> [5773]  1.04062315  1.04062315  1.04062315  1.04062315  1.04062315  1.04062315
    -#> [5779]  1.04062315  1.04062315  1.04062315  1.04062315  1.04062315  1.04062315
    -#> [5785]  1.04062315  1.04062315  1.04062315  1.04062315  1.04062315  1.04062315
    -#> [5791]  0.80062236  0.80062236  0.80062236  0.80062236  0.80062236  0.80062236
    -#> [5797]  0.80062236  0.80062236  0.80062236  0.80062236  0.80062236  0.80062236
    -#> [5803]  0.80062236  0.80062236  0.80062236  0.80062236  0.80062236  0.80062236
    -#> [5809]  0.80062236  0.80062236  0.80062236  0.80062236  0.80062236  0.80062236
    -#> [5815]  0.80062236  0.80062236  0.80062236  0.80062236  0.80062236  0.80062236
    -#> [5821] -0.27396237 -0.27396237 -0.27396237 -0.27396237 -0.27396237 -0.27396237
    -#> [5827] -0.27396237 -0.27396237 -0.27396237 -0.27396237 -0.27396237 -0.27396237
    -#> [5833] -0.27396237 -0.27396237 -0.27396237 -0.27396237 -0.27396237 -0.27396237
    -#> [5839] -0.27396237 -0.27396237 -0.27396237 -0.27396237 -0.27396237 -0.27396237
    -#> [5845] -0.27396237 -0.27396237 -0.27396237 -0.27396237 -0.27396237 -0.27396237
    -#> [5851]  0.16122635  0.16122635  0.16122635  0.16122635  0.16122635  0.16122635
    -#> [5857]  0.16122635  0.16122635  0.16122635  0.16122635  0.16122635  0.16122635
    -#> [5863]  0.16122635  0.16122635  0.16122635  0.16122635  0.16122635  0.16122635
    -#> [5869]  0.16122635  0.16122635  0.16122635  0.16122635  0.16122635  0.16122635
    -#> [5875]  0.16122635  0.16122635  0.16122635  0.16122635  0.16122635  0.16122635
    -#> [5881] -0.91597924 -0.91597924 -0.91597924 -0.91597924 -0.91597924 -0.91597924
    -#> [5887] -0.91597924 -0.91597924 -0.91597924 -0.91597924 -0.91597924 -0.91597924
    -#> [5893] -0.91597924 -0.91597924 -0.91597924 -0.91597924 -0.91597924 -0.91597924
    -#> [5899] -0.91597924 -0.91597924 -0.91597924 -0.91597924 -0.91597924 -0.91597924
    -#> [5905] -0.91597924 -0.91597924 -0.91597924 -0.91597924 -0.91597924 -0.91597924
    -#> [5911] -0.45364637 -0.45364637 -0.45364637 -0.45364637 -0.45364637 -0.45364637
    -#> [5917] -0.45364637 -0.45364637 -0.45364637 -0.45364637 -0.45364637 -0.45364637
    -#> [5923] -0.45364637 -0.45364637 -0.45364637 -0.45364637 -0.45364637 -0.45364637
    -#> [5929] -0.45364637 -0.45364637 -0.45364637 -0.45364637 -0.45364637 -0.45364637
    -#> [5935] -0.45364637 -0.45364637 -0.45364637 -0.45364637 -0.45364637 -0.45364637
    -#> [5941] -1.43684344 -1.43684344 -1.43684344 -1.43684344 -1.43684344 -1.43684344
    -#> [5947] -1.43684344 -1.43684344 -1.43684344 -1.43684344 -1.43684344 -1.43684344
    -#> [5953] -1.43684344 -1.43684344 -1.43684344 -1.43684344 -1.43684344 -1.43684344
    -#> [5959] -1.43684344 -1.43684344 -1.43684344 -1.43684344 -1.43684344 -1.43684344
    -#> [5965] -1.43684344 -1.43684344 -1.43684344 -1.43684344 -1.43684344 -1.43684344
    -#> [5971] -1.56842462 -1.56842462 -1.56842462 -1.56842462 -1.56842462 -1.56842462
    -#> [5977] -1.56842462 -1.56842462 -1.56842462 -1.56842462 -1.56842462 -1.56842462
    -#> [5983] -1.56842462 -1.56842462 -1.56842462 -1.56842462 -1.56842462 -1.56842462
    -#> [5989] -1.56842462 -1.56842462 -1.56842462 -1.56842462 -1.56842462 -1.56842462
    -#> [5995] -1.56842462 -1.56842462 -1.56842462 -1.56842462 -1.56842462 -1.56842462
    -#> 
    -#> 
    -
    -
    -
    - -
    - - -
    - -
    -

    Site built with pkgdown 2.0.7.

    -
    - -
    - - - - - - - - diff --git a/docs/reference/shared_elements.html b/docs/reference/shared_elements.html deleted file mode 100644 index 067cfae..0000000 --- a/docs/reference/shared_elements.html +++ /dev/null @@ -1,115 +0,0 @@ - -get shared elements between two vectors — shared_elements • flocker - - -
    -
    - - - -
    -
    - - -
    -

    get shared elements between two vectors

    -
    - -
    -
    shared_elements(x, y)
    -
    - -
    -

    Arguments

    -
    x
    -

    vector

    - - -
    y
    -

    vector

    - -
    -
    -

    Value

    - - -

    all unique elements that occur at least once in both x and y

    -
    - -
    - -
    - - -
    - -
    -

    Site built with pkgdown 2.0.7.

    -
    - -
    - - - - - - - - diff --git a/docs/reference/simulate_flocker_data.html b/docs/reference/simulate_flocker_data.html deleted file mode 100644 index 59c0899..0000000 --- a/docs/reference/simulate_flocker_data.html +++ /dev/null @@ -1,6031 +0,0 @@ - -Simulate data for use with make_flocker_data() and downstream -functions. — simulate_flocker_data • flocker - - -
    -
    - - - -
    -
    - - -
    -

    Data will be simulated with one unit covariate that affects all -relevant terms, one event covariate that affects detection (unless -`rep_constant` is `TRUE`), and one grouping factor representing species -with correlated effects on all terms.

    -
    - -
    -
    simulate_flocker_data(
    -  n_rep = 4,
    -  n_pt = 50,
    -  n_sp = 30,
    -  n_season = 1,
    -  multiseason = NULL,
    -  multi_init = NULL,
    -  augmented = FALSE,
    -  rep_constant = FALSE,
    -  params = NULL,
    -  covariates = NULL,
    -  seed = 123,
    -  ragged_rep = FALSE,
    -  missing_seasons = FALSE
    -)
    -
    - -
    -

    Arguments

    -
    n_rep
    -

    number of replicate visits to simulate per closure unit

    - - -
    n_pt
    -

    number of points to simulate. The number of units for single- -season models will be `n_pt*n_sp`. The number of units for multi-season -models will be `n_pt*n_sp*n_season`.

    - - -
    n_sp
    -

    number of levels to include in random effect. For compatibility -with multispecies models where the random effect represents species, -the data get expanded such that there's a row (closure-unit) for each -combination of sampling point and effect level (i.e. species)

    - - -
    n_season
    -

    Number of seasons desired. 1 yields data for a single-season -model; all other positive integers yield data for multiseason models.

    - - -
    multiseason
    -

    if n_season is NULL, must be NULL. Otherwise, one of -"colex" or "autologistic".

    - - -
    multi_init
    -

    if n_season is NULL, must be NULL. Otherwise, one of -"explicit" or "equilibrium".

    - - -
    augmented
    -

    logical. If `TRUE` data will be formatted for an augmented -model, which requires that `n_season == 1`. All never-observed -species will be trimmed out of the data, and the default parameters will be -modified to increase random effect variances for the detection and occupancy, -intercepts and to decrease random effect variances for detection slopes, thus -encouraging the existence of never-observed species. Furthermore, the data will -be simulated without any covariate influence on occupancy.

    - - -
    rep_constant
    -

    logical: create data with unit covariates only (TRUE) -or data that includes event covariates (FALSE)

    - - -
    params
    -

    a named list containing of parameter values to use in simulation. -Any required parameters whose names are not in this list will be assigned their -default values. To see the parameter names and structures required, run with -`params = NULL` (the default) and examine the `$params` element of the output.

    - - -
    covariates
    -

    a dataframe of covariate values to use in simulation, or -NULL to simulate values. To see the covariate names and structures required, -run with `covariates = NULL` (the default) and examine the `$covariates` element -of the output.

    - - -
    seed
    -

    random seed. NULL uses (and updates) the existing RNG state. Other values -do not update the global RNG state.

    - - -
    ragged_rep
    -

    logical: create data with variable (TRUE) or constant -(FALSE) numbers of visits per unit. If TRUE, approximately half of units -will be missing approximately half of `n_rep` visits. Intended primarily for -development purposes (bug-checking models with missing data).

    - - -
    missing_seasons
    -

    logical; relevant only if n_season is greater than 1. -create data with variable (TRUE) or constant (FALSE) numbers of seasons per -series (TRUE). If TRUE, approximately half of series will be missing their -even-numbered seasons.

    - -
    -
    -

    Value

    - - -

    A named list with the observation matrix/array ($obs), the unit covariate - dataframe(s) ($unit_covs), the event covariate list ($event_covs), the parameters - used in simulation ($params) and the covariate list used in simulation ($covariates). - If rep_constant is TRUE, then $event_covs will be NULL.

    -
    - -
    -

    Examples

    -
    simulate_flocker_data()
    -#> $obs
    -#>         [,1] [,2] [,3] [,4]
    -#>    [1,]    0    0    0    0
    -#>    [2,]    0    0    0    0
    -#>    [3,]    1    1    1    0
    -#>    [4,]    1    1    1    1
    -#>    [5,]    0    0    0    0
    -#>    [6,]    0    0    0    0
    -#>    [7,]    1    1    1    1
    -#>    [8,]    1    1    1    0
    -#>    [9,]    0    0    0    0
    -#>   [10,]    0    0    0    0
    -#>   [11,]    0    0    0    0
    -#>   [12,]    0    0    0    0
    -#>   [13,]    0    0    0    0
    -#>   [14,]    0    0    0    0
    -#>   [15,]    0    0    0    0
    -#>   [16,]    0    0    0    0
    -#>   [17,]    0    0    0    0
    -#>   [18,]    0    0    0    0
    -#>   [19,]    1    1    0    1
    -#>   [20,]    1    1    1    1
    -#>   [21,]    0    0    0    0
    -#>   [22,]    0    0    0    0
    -#>   [23,]    0    1    1    1
    -#>   [24,]    0    0    0    0
    -#>   [25,]    0    0    0    0
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    -#> [1307,]    0    0    0    0
    -#> [1308,]    0    0    0    0
    -#> [1309,]    0    0    0    0
    -#> [1310,]    0    0    0    1
    -#> [1311,]    0    0    0    0
    -#> [1312,]    0    0    0    1
    -#> [1313,]    0    0    0    0
    -#> [1314,]    0    0    0    0
    -#> [1315,]    0    0    0    0
    -#> [1316,]    0    0    0    0
    -#> [1317,]    0    1    0    0
    -#> [1318,]    1    0    0    0
    -#> [1319,]    0    0    0    0
    -#> [1320,]    0    0    1    0
    -#> [1321,]    0    1    1    1
    -#> [1322,]    0    0    0    0
    -#> [1323,]    1    0    0    0
    -#> [1324,]    0    0    0    0
    -#> [1325,]    0    0    0    0
    -#> [1326,]    0    1    1    0
    -#> [1327,]    1    0    0    0
    -#> [1328,]    0    0    0    0
    -#> [1329,]    0    0    0    0
    -#> [1330,]    0    0    0    0
    -#> [1331,]    0    0    0    0
    -#> [1332,]    0    0    0    0
    -#> [1333,]    1    0    0    0
    -#> [1334,]    1    0    0    1
    -#> [1335,]    0    0    1    0
    -#> [1336,]    0    0    1    0
    -#> [1337,]    0    0    0    0
    -#> [1338,]    1    0    0    1
    -#> [1339,]    0    0    0    0
    -#> [1340,]    1    1    0    0
    -#> [1341,]    0    0    0    0
    -#> [1342,]    0    0    0    0
    -#> [1343,]    0    0    0    0
    -#> [1344,]    0    1    0    0
    -#> [1345,]    0    0    1    1
    -#> [1346,]    0    0    0    0
    -#> [1347,]    0    0    0    0
    -#> [1348,]    1    1    1    0
    -#> [1349,]    0    0    0    1
    -#> [1350,]    0    0    1    0
    -#> [1351,]    0    0    0    0
    -#> [1352,]    0    0    0    0
    -#> [1353,]    0    1    1    0
    -#> [1354,]    1    1    1    0
    -#> [1355,]    1    0    1    1
    -#> [1356,]    0    0    0    0
    -#> [1357,]    1    0    0    0
    -#> [1358,]    0    0    1    0
    -#> [1359,]    0    0    0    0
    -#> [1360,]    0    0    0    0
    -#> [1361,]    0    1    0    1
    -#> [1362,]    1    1    1    1
    -#> [1363,]    0    0    0    0
    -#> [1364,]    0    0    0    0
    -#> [1365,]    0    0    0    0
    -#> [1366,]    1    1    0    1
    -#> [1367,]    1    0    0    0
    -#> [1368,]    1    1    1    0
    -#> [1369,]    0    0    0    0
    -#> [1370,]    0    0    0    0
    -#> [1371,]    0    0    0    0
    -#> [1372,]    0    0    0    0
    -#> [1373,]    0    0    0    0
    -#> [1374,]    0    0    0    0
    -#> [1375,]    0    0    0    0
    -#> [1376,]    0    0    0    0
    -#> [1377,]    0    0    0    0
    -#> [1378,]    0    0    0    0
    -#> [1379,]    1    1    1    1
    -#> [1380,]    1    1    1    1
    -#> [1381,]    0    0    0    0
    -#> [1382,]    1    0    0    1
    -#> [1383,]    1    0    1    1
    -#> [1384,]    0    0    0    0
    -#> [1385,]    0    0    0    0
    -#> [1386,]    0    1    1    1
    -#> [1387,]    0    0    0    0
    -#> [1388,]    0    0    0    0
    -#> [1389,]    0    0    1    1
    -#> [1390,]    0    0    0    0
    -#> [1391,]    0    0    0    0
    -#> [1392,]    1    0    1    1
    -#> [1393,]    0    1    1    0
    -#> [1394,]    0    0    0    0
    -#> [1395,]    1    1    0    1
    -#> [1396,]    0    0    1    0
    -#> [1397,]    0    1    1    0
    -#> [1398,]    0    0    0    0
    -#> [1399,]    0    1    1    1
    -#> [1400,]    0    1    1    1
    -#> [1401,]    1    1    1    1
    -#> [1402,]    1    1    1    1
    -#> [1403,]    1    1    1    1
    -#> [1404,]    0    0    0    0
    -#> [1405,]    0    0    0    0
    -#> [1406,]    1    0    1    1
    -#> [1407,]    1    1    1    1
    -#> [1408,]    0    0    0    0
    -#> [1409,]    1    1    1    0
    -#> [1410,]    1    1    1    1
    -#> [1411,]    1    1    1    1
    -#> [1412,]    0    0    0    0
    -#> [1413,]    0    0    0    0
    -#> [1414,]    1    1    1    1
    -#> [1415,]    1    0    1    1
    -#> [1416,]    0    0    0    0
    -#> [1417,]    0    0    0    0
    -#> [1418,]    0    0    0    0
    -#> [1419,]    1    1    1    1
    -#> [1420,]    1    1    1    1
    -#> [1421,]    1    1    1    1
    -#> [1422,]    1    1    0    1
    -#> [1423,]    0    0    0    0
    -#> [1424,]    1    1    1    1
    -#> [1425,]    1    1    1    1
    -#> [1426,]    0    0    0    0
    -#> [1427,]    0    0    0    0
    -#> [1428,]    0    0    0    0
    -#> [1429,]    1    1    1    0
    -#> [1430,]    0    0    0    0
    -#> [1431,]    0    0    0    0
    -#> [1432,]    1    1    1    1
    -#> [1433,]    1    1    1    1
    -#> [1434,]    0    0    0    0
    -#> [1435,]    1    0    1    1
    -#> [1436,]    0    0    0    0
    -#> [1437,]    0    1    1    1
    -#> [1438,]    0    0    0    0
    -#> [1439,]    1    1    1    1
    -#> [1440,]    0    0    0    0
    -#> [1441,]    0    1    1    1
    -#> [1442,]    1    1    1    1
    -#> [1443,]    0    0    0    0
    -#> [1444,]    1    1    1    1
    -#> [1445,]    1    1    1    1
    -#> [1446,]    1    1    1    1
    -#> [1447,]    0    0    0    0
    -#> [1448,]    0    1    1    1
    -#> [1449,]    1    0    1    1
    -#> [1450,]    0    0    0    0
    -#> [1451,]    0    0    0    0
    -#> [1452,]    0    0    0    0
    -#> [1453,]    0    0    0    0
    -#> [1454,]    0    1    0    1
    -#> [1455,]    0    0    0    0
    -#> [1456,]    0    0    0    0
    -#> [1457,]    0    0    0    0
    -#> [1458,]    0    0    0    0
    -#> [1459,]    0    0    0    0
    -#> [1460,]    0    0    0    0
    -#> [1461,]    0    0    0    0
    -#> [1462,]    0    0    0    0
    -#> [1463,]    0    0    0    0
    -#> [1464,]    0    0    0    0
    -#> [1465,]    0    0    0    0
    -#> [1466,]    0    0    0    0
    -#> [1467,]    0    0    0    0
    -#> [1468,]    0    0    0    0
    -#> [1469,]    0    0    0    0
    -#> [1470,]    0    0    0    0
    -#> [1471,]    0    0    0    0
    -#> [1472,]    0    0    0    1
    -#> [1473,]    0    0    0    0
    -#> [1474,]    0    0    0    0
    -#> [1475,]    0    0    0    0
    -#> [1476,]    1    0    1    1
    -#> [1477,]    0    0    0    0
    -#> [1478,]    0    0    0    0
    -#> [1479,]    0    0    0    0
    -#> [1480,]    0    0    0    0
    -#> [1481,]    0    0    0    1
    -#> [1482,]    0    0    0    0
    -#> [1483,]    0    0    0    0
    -#> [1484,]    0    0    0    0
    -#> [1485,]    0    0    0    0
    -#> [1486,]    0    0    0    0
    -#> [1487,]    0    0    0    0
    -#> [1488,]    0    0    0    0
    -#> [1489,]    0    0    0    0
    -#> [1490,]    0    0    0    0
    -#> [1491,]    0    0    0    0
    -#> [1492,]    0    0    0    0
    -#> [1493,]    0    0    0    1
    -#> [1494,]    0    0    0    0
    -#> [1495,]    0    0    0    0
    -#> [1496,]    0    0    0    0
    -#> [1497,]    0    0    0    0
    -#> [1498,]    1    1    1    0
    -#> [1499,]    0    0    0    1
    -#> [1500,]    1    0    0    1
    -#> 
    -#> $unit_covs
    -#>              uc1 species
    -#> 1     0.78773885    sp_1
    -#> 2     0.76904224    sp_1
    -#> 3     0.33220258    sp_1
    -#> 4    -1.00837661    sp_1
    -#> 5    -0.11945261    sp_1
    -#> 6    -0.28039534    sp_1
    -#> 7     0.56298953    sp_1
    -#> 8    -0.37243876    sp_1
    -#> 9     0.97697339    sp_1
    -#> 10   -0.37458086    sp_1
    -#> 11    1.05271147    sp_1
    -#> 12   -1.04917701    sp_1
    -#> 13   -1.26015524    sp_1
    -#> 14    3.24103993    sp_1
    -#> 15   -0.41685759    sp_1
    -#> 16    0.29822759    sp_1
    -#> 17    0.63656967    sp_1
    -#> 18   -0.48378063    sp_1
    -#> 19    0.51686204    sp_1
    -#> 20    0.36896453    sp_1
    -#> 21   -0.21538051    sp_1
    -#> 22    0.06529303    sp_1
    -#> 23   -0.03406725    sp_1
    -#> 24    2.12845190    sp_1
    -#> 25   -0.74133610    sp_1
    -#> 26   -1.09599627    sp_1
    -#> 27    0.03778840    sp_1
    -#> 28    0.31048075    sp_1
    -#> 29    0.43652348    sp_1
    -#> 30   -0.45836533    sp_1
    -#> 31   -1.06332613    sp_1
    -#> 32    1.26318518    sp_1
    -#> 33   -0.34965039    sp_1
    -#> 34   -0.86551286    sp_1
    -#> 35   -0.23627957    sp_1
    -#> 36   -0.19717589    sp_1
    -#> 37    1.10992029    sp_1
    -#> 38    0.08473729    sp_1
    -#> 39    0.75405379    sp_1
    -#> 40   -0.49929202    sp_1
    -#> 41    0.21444531    sp_1
    -#> 42   -0.32468591    sp_1
    -#> 43    0.09458353    sp_1
    -#> 44   -0.89536336    sp_1
    -#> 45   -1.31080153    sp_1
    -#> 46    1.99721338    sp_1
    -#> 47    0.60070882    sp_1
    -#> 48   -1.25127136    sp_1
    -#> 49   -0.61116592    sp_1
    -#> 50   -1.18548008    sp_1
    -#> 51    0.78773885    sp_2
    -#> 52    0.76904224    sp_2
    -#> 53    0.33220258    sp_2
    -#> 54   -1.00837661    sp_2
    -#> 55   -0.11945261    sp_2
    -#> 56   -0.28039534    sp_2
    -#> 57    0.56298953    sp_2
    -#> 58   -0.37243876    sp_2
    -#> 59    0.97697339    sp_2
    -#> 60   -0.37458086    sp_2
    -#> 61    1.05271147    sp_2
    -#> 62   -1.04917701    sp_2
    -#> 63   -1.26015524    sp_2
    -#> 64    3.24103993    sp_2
    -#> 65   -0.41685759    sp_2
    -#> 66    0.29822759    sp_2
    -#> 67    0.63656967    sp_2
    -#> 68   -0.48378063    sp_2
    -#> 69    0.51686204    sp_2
    -#> 70    0.36896453    sp_2
    -#> 71   -0.21538051    sp_2
    -#> 72    0.06529303    sp_2
    -#> 73   -0.03406725    sp_2
    -#> 74    2.12845190    sp_2
    -#> 75   -0.74133610    sp_2
    -#> 76   -1.09599627    sp_2
    -#> 77    0.03778840    sp_2
    -#> 78    0.31048075    sp_2
    -#> 79    0.43652348    sp_2
    -#> 80   -0.45836533    sp_2
    -#> 81   -1.06332613    sp_2
    -#> 82    1.26318518    sp_2
    -#> 83   -0.34965039    sp_2
    -#> 84   -0.86551286    sp_2
    -#> 85   -0.23627957    sp_2
    -#> 86   -0.19717589    sp_2
    -#> 87    1.10992029    sp_2
    -#> 88    0.08473729    sp_2
    -#> 89    0.75405379    sp_2
    -#> 90   -0.49929202    sp_2
    -#> 91    0.21444531    sp_2
    -#> 92   -0.32468591    sp_2
    -#> 93    0.09458353    sp_2
    -#> 94   -0.89536336    sp_2
    -#> 95   -1.31080153    sp_2
    -#> 96    1.99721338    sp_2
    -#> 97    0.60070882    sp_2
    -#> 98   -1.25127136    sp_2
    -#> 99   -0.61116592    sp_2
    -#> 100  -1.18548008    sp_2
    -#> 101   0.78773885    sp_3
    -#> 102   0.76904224    sp_3
    -#> 103   0.33220258    sp_3
    -#> 104  -1.00837661    sp_3
    -#> 105  -0.11945261    sp_3
    -#> 106  -0.28039534    sp_3
    -#> 107   0.56298953    sp_3
    -#> 108  -0.37243876    sp_3
    -#> 109   0.97697339    sp_3
    -#> 110  -0.37458086    sp_3
    -#> 111   1.05271147    sp_3
    -#> 112  -1.04917701    sp_3
    -#> 113  -1.26015524    sp_3
    -#> 114   3.24103993    sp_3
    -#> 115  -0.41685759    sp_3
    -#> 116   0.29822759    sp_3
    -#> 117   0.63656967    sp_3
    -#> 118  -0.48378063    sp_3
    -#> 119   0.51686204    sp_3
    -#> 120   0.36896453    sp_3
    -#> 121  -0.21538051    sp_3
    -#> 122   0.06529303    sp_3
    -#> 123  -0.03406725    sp_3
    -#> 124   2.12845190    sp_3
    -#> 125  -0.74133610    sp_3
    -#> 126  -1.09599627    sp_3
    -#> 127   0.03778840    sp_3
    -#> 128   0.31048075    sp_3
    -#> 129   0.43652348    sp_3
    -#> 130  -0.45836533    sp_3
    -#> 131  -1.06332613    sp_3
    -#> 132   1.26318518    sp_3
    -#> 133  -0.34965039    sp_3
    -#> 134  -0.86551286    sp_3
    -#> 135  -0.23627957    sp_3
    -#> 136  -0.19717589    sp_3
    -#> 137   1.10992029    sp_3
    -#> 138   0.08473729    sp_3
    -#> 139   0.75405379    sp_3
    -#> 140  -0.49929202    sp_3
    -#> 141   0.21444531    sp_3
    -#> 142  -0.32468591    sp_3
    -#> 143   0.09458353    sp_3
    -#> 144  -0.89536336    sp_3
    -#> 145  -1.31080153    sp_3
    -#> 146   1.99721338    sp_3
    -#> 147   0.60070882    sp_3
    -#> 148  -1.25127136    sp_3
    -#> 149  -0.61116592    sp_3
    -#> 150  -1.18548008    sp_3
    -#> 151   0.78773885    sp_4
    -#> 152   0.76904224    sp_4
    -#> 153   0.33220258    sp_4
    -#> 154  -1.00837661    sp_4
    -#> 155  -0.11945261    sp_4
    -#> 156  -0.28039534    sp_4
    -#> 157   0.56298953    sp_4
    -#> 158  -0.37243876    sp_4
    -#> 159   0.97697339    sp_4
    -#> 160  -0.37458086    sp_4
    -#> 161   1.05271147    sp_4
    -#> 162  -1.04917701    sp_4
    -#> 163  -1.26015524    sp_4
    -#> 164   3.24103993    sp_4
    -#> 165  -0.41685759    sp_4
    -#> 166   0.29822759    sp_4
    -#> 167   0.63656967    sp_4
    -#> 168  -0.48378063    sp_4
    -#> 169   0.51686204    sp_4
    -#> 170   0.36896453    sp_4
    -#> 171  -0.21538051    sp_4
    -#> 172   0.06529303    sp_4
    -#> 173  -0.03406725    sp_4
    -#> 174   2.12845190    sp_4
    -#> 175  -0.74133610    sp_4
    -#> 176  -1.09599627    sp_4
    -#> 177   0.03778840    sp_4
    -#> 178   0.31048075    sp_4
    -#> 179   0.43652348    sp_4
    -#> 180  -0.45836533    sp_4
    -#> 181  -1.06332613    sp_4
    -#> 182   1.26318518    sp_4
    -#> 183  -0.34965039    sp_4
    -#> 184  -0.86551286    sp_4
    -#> 185  -0.23627957    sp_4
    -#> 186  -0.19717589    sp_4
    -#> 187   1.10992029    sp_4
    -#> 188   0.08473729    sp_4
    -#> 189   0.75405379    sp_4
    -#> 190  -0.49929202    sp_4
    -#> 191   0.21444531    sp_4
    -#> 192  -0.32468591    sp_4
    -#> 193   0.09458353    sp_4
    -#> 194  -0.89536336    sp_4
    -#> 195  -1.31080153    sp_4
    -#> 196   1.99721338    sp_4
    -#> 197   0.60070882    sp_4
    -#> 198  -1.25127136    sp_4
    -#> 199  -0.61116592    sp_4
    -#> 200  -1.18548008    sp_4
    -#> 201   0.78773885    sp_5
    -#> 202   0.76904224    sp_5
    -#> 203   0.33220258    sp_5
    -#> 204  -1.00837661    sp_5
    -#> 205  -0.11945261    sp_5
    -#> 206  -0.28039534    sp_5
    -#> 207   0.56298953    sp_5
    -#> 208  -0.37243876    sp_5
    -#> 209   0.97697339    sp_5
    -#> 210  -0.37458086    sp_5
    -#> 211   1.05271147    sp_5
    -#> 212  -1.04917701    sp_5
    -#> 213  -1.26015524    sp_5
    -#> 214   3.24103993    sp_5
    -#> 215  -0.41685759    sp_5
    -#> 216   0.29822759    sp_5
    -#> 217   0.63656967    sp_5
    -#> 218  -0.48378063    sp_5
    -#> 219   0.51686204    sp_5
    -#> 220   0.36896453    sp_5
    -#> 221  -0.21538051    sp_5
    -#> 222   0.06529303    sp_5
    -#> 223  -0.03406725    sp_5
    -#> 224   2.12845190    sp_5
    -#> 225  -0.74133610    sp_5
    -#> 226  -1.09599627    sp_5
    -#> 227   0.03778840    sp_5
    -#> 228   0.31048075    sp_5
    -#> 229   0.43652348    sp_5
    -#> 230  -0.45836533    sp_5
    -#> 231  -1.06332613    sp_5
    -#> 232   1.26318518    sp_5
    -#> 233  -0.34965039    sp_5
    -#> 234  -0.86551286    sp_5
    -#> 235  -0.23627957    sp_5
    -#> 236  -0.19717589    sp_5
    -#> 237   1.10992029    sp_5
    -#> 238   0.08473729    sp_5
    -#> 239   0.75405379    sp_5
    -#> 240  -0.49929202    sp_5
    -#> 241   0.21444531    sp_5
    -#> 242  -0.32468591    sp_5
    -#> 243   0.09458353    sp_5
    -#> 244  -0.89536336    sp_5
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    -#> 1127  0.03778840   sp_23
    -#> 1128  0.31048075   sp_23
    -#> 1129  0.43652348   sp_23
    -#> 1130 -0.45836533   sp_23
    -#> 1131 -1.06332613   sp_23
    -#> 1132  1.26318518   sp_23
    -#> 1133 -0.34965039   sp_23
    -#> 1134 -0.86551286   sp_23
    -#> 1135 -0.23627957   sp_23
    -#> 1136 -0.19717589   sp_23
    -#> 1137  1.10992029   sp_23
    -#> 1138  0.08473729   sp_23
    -#> 1139  0.75405379   sp_23
    -#> 1140 -0.49929202   sp_23
    -#> 1141  0.21444531   sp_23
    -#> 1142 -0.32468591   sp_23
    -#> 1143  0.09458353   sp_23
    -#> 1144 -0.89536336   sp_23
    -#> 1145 -1.31080153   sp_23
    -#> 1146  1.99721338   sp_23
    -#> 1147  0.60070882   sp_23
    -#> 1148 -1.25127136   sp_23
    -#> 1149 -0.61116592   sp_23
    -#> 1150 -1.18548008   sp_23
    -#> 1151  0.78773885   sp_24
    -#> 1152  0.76904224   sp_24
    -#> 1153  0.33220258   sp_24
    -#> 1154 -1.00837661   sp_24
    -#> 1155 -0.11945261   sp_24
    -#> 1156 -0.28039534   sp_24
    -#> 1157  0.56298953   sp_24
    -#> 1158 -0.37243876   sp_24
    -#> 1159  0.97697339   sp_24
    -#> 1160 -0.37458086   sp_24
    -#> 1161  1.05271147   sp_24
    -#> 1162 -1.04917701   sp_24
    -#> 1163 -1.26015524   sp_24
    -#> 1164  3.24103993   sp_24
    -#> 1165 -0.41685759   sp_24
    -#> 1166  0.29822759   sp_24
    -#> 1167  0.63656967   sp_24
    -#> 1168 -0.48378063   sp_24
    -#> 1169  0.51686204   sp_24
    -#> 1170  0.36896453   sp_24
    -#> 1171 -0.21538051   sp_24
    -#> 1172  0.06529303   sp_24
    -#> 1173 -0.03406725   sp_24
    -#> 1174  2.12845190   sp_24
    -#> 1175 -0.74133610   sp_24
    -#> 1176 -1.09599627   sp_24
    -#> 1177  0.03778840   sp_24
    -#> 1178  0.31048075   sp_24
    -#> 1179  0.43652348   sp_24
    -#> 1180 -0.45836533   sp_24
    -#> 1181 -1.06332613   sp_24
    -#> 1182  1.26318518   sp_24
    -#> 1183 -0.34965039   sp_24
    -#> 1184 -0.86551286   sp_24
    -#> 1185 -0.23627957   sp_24
    -#> 1186 -0.19717589   sp_24
    -#> 1187  1.10992029   sp_24
    -#> 1188  0.08473729   sp_24
    -#> 1189  0.75405379   sp_24
    -#> 1190 -0.49929202   sp_24
    -#> 1191  0.21444531   sp_24
    -#> 1192 -0.32468591   sp_24
    -#> 1193  0.09458353   sp_24
    -#> 1194 -0.89536336   sp_24
    -#> 1195 -1.31080153   sp_24
    -#> 1196  1.99721338   sp_24
    -#> 1197  0.60070882   sp_24
    -#> 1198 -1.25127136   sp_24
    -#> 1199 -0.61116592   sp_24
    -#> 1200 -1.18548008   sp_24
    -#> 1201  0.78773885   sp_25
    -#> 1202  0.76904224   sp_25
    -#> 1203  0.33220258   sp_25
    -#> 1204 -1.00837661   sp_25
    -#> 1205 -0.11945261   sp_25
    -#> 1206 -0.28039534   sp_25
    -#> 1207  0.56298953   sp_25
    -#> 1208 -0.37243876   sp_25
    -#> 1209  0.97697339   sp_25
    -#> 1210 -0.37458086   sp_25
    -#> 1211  1.05271147   sp_25
    -#> 1212 -1.04917701   sp_25
    -#> 1213 -1.26015524   sp_25
    -#> 1214  3.24103993   sp_25
    -#> 1215 -0.41685759   sp_25
    -#> 1216  0.29822759   sp_25
    -#> 1217  0.63656967   sp_25
    -#> 1218 -0.48378063   sp_25
    -#> 1219  0.51686204   sp_25
    -#> 1220  0.36896453   sp_25
    -#> 1221 -0.21538051   sp_25
    -#> 1222  0.06529303   sp_25
    -#> 1223 -0.03406725   sp_25
    -#> 1224  2.12845190   sp_25
    -#> 1225 -0.74133610   sp_25
    -#> 1226 -1.09599627   sp_25
    -#> 1227  0.03778840   sp_25
    -#> 1228  0.31048075   sp_25
    -#> 1229  0.43652348   sp_25
    -#> 1230 -0.45836533   sp_25
    -#> 1231 -1.06332613   sp_25
    -#> 1232  1.26318518   sp_25
    -#> 1233 -0.34965039   sp_25
    -#> 1234 -0.86551286   sp_25
    -#> 1235 -0.23627957   sp_25
    -#> 1236 -0.19717589   sp_25
    -#> 1237  1.10992029   sp_25
    -#> 1238  0.08473729   sp_25
    -#> 1239  0.75405379   sp_25
    -#> 1240 -0.49929202   sp_25
    -#> 1241  0.21444531   sp_25
    -#> 1242 -0.32468591   sp_25
    -#> 1243  0.09458353   sp_25
    -#> 1244 -0.89536336   sp_25
    -#> 1245 -1.31080153   sp_25
    -#> 1246  1.99721338   sp_25
    -#> 1247  0.60070882   sp_25
    -#> 1248 -1.25127136   sp_25
    -#> 1249 -0.61116592   sp_25
    -#> 1250 -1.18548008   sp_25
    -#> 1251  0.78773885   sp_26
    -#> 1252  0.76904224   sp_26
    -#> 1253  0.33220258   sp_26
    -#> 1254 -1.00837661   sp_26
    -#> 1255 -0.11945261   sp_26
    -#> 1256 -0.28039534   sp_26
    -#> 1257  0.56298953   sp_26
    -#> 1258 -0.37243876   sp_26
    -#> 1259  0.97697339   sp_26
    -#> 1260 -0.37458086   sp_26
    -#> 1261  1.05271147   sp_26
    -#> 1262 -1.04917701   sp_26
    -#> 1263 -1.26015524   sp_26
    -#> 1264  3.24103993   sp_26
    -#> 1265 -0.41685759   sp_26
    -#> 1266  0.29822759   sp_26
    -#> 1267  0.63656967   sp_26
    -#> 1268 -0.48378063   sp_26
    -#> 1269  0.51686204   sp_26
    -#> 1270  0.36896453   sp_26
    -#> 1271 -0.21538051   sp_26
    -#> 1272  0.06529303   sp_26
    -#> 1273 -0.03406725   sp_26
    -#> 1274  2.12845190   sp_26
    -#> 1275 -0.74133610   sp_26
    -#> 1276 -1.09599627   sp_26
    -#> 1277  0.03778840   sp_26
    -#> 1278  0.31048075   sp_26
    -#> 1279  0.43652348   sp_26
    -#> 1280 -0.45836533   sp_26
    -#> 1281 -1.06332613   sp_26
    -#> 1282  1.26318518   sp_26
    -#> 1283 -0.34965039   sp_26
    -#> 1284 -0.86551286   sp_26
    -#> 1285 -0.23627957   sp_26
    -#> 1286 -0.19717589   sp_26
    -#> 1287  1.10992029   sp_26
    -#> 1288  0.08473729   sp_26
    -#> 1289  0.75405379   sp_26
    -#> 1290 -0.49929202   sp_26
    -#> 1291  0.21444531   sp_26
    -#> 1292 -0.32468591   sp_26
    -#> 1293  0.09458353   sp_26
    -#> 1294 -0.89536336   sp_26
    -#> 1295 -1.31080153   sp_26
    -#> 1296  1.99721338   sp_26
    -#> 1297  0.60070882   sp_26
    -#> 1298 -1.25127136   sp_26
    -#> 1299 -0.61116592   sp_26
    -#> 1300 -1.18548008   sp_26
    -#> 1301  0.78773885   sp_27
    -#> 1302  0.76904224   sp_27
    -#> 1303  0.33220258   sp_27
    -#> 1304 -1.00837661   sp_27
    -#> 1305 -0.11945261   sp_27
    -#> 1306 -0.28039534   sp_27
    -#> 1307  0.56298953   sp_27
    -#> 1308 -0.37243876   sp_27
    -#> 1309  0.97697339   sp_27
    -#> 1310 -0.37458086   sp_27
    -#> 1311  1.05271147   sp_27
    -#> 1312 -1.04917701   sp_27
    -#> 1313 -1.26015524   sp_27
    -#> 1314  3.24103993   sp_27
    -#> 1315 -0.41685759   sp_27
    -#> 1316  0.29822759   sp_27
    -#> 1317  0.63656967   sp_27
    -#> 1318 -0.48378063   sp_27
    -#> 1319  0.51686204   sp_27
    -#> 1320  0.36896453   sp_27
    -#> 1321 -0.21538051   sp_27
    -#> 1322  0.06529303   sp_27
    -#> 1323 -0.03406725   sp_27
    -#> 1324  2.12845190   sp_27
    -#> 1325 -0.74133610   sp_27
    -#> 1326 -1.09599627   sp_27
    -#> 1327  0.03778840   sp_27
    -#> 1328  0.31048075   sp_27
    -#> 1329  0.43652348   sp_27
    -#> 1330 -0.45836533   sp_27
    -#> 1331 -1.06332613   sp_27
    -#> 1332  1.26318518   sp_27
    -#> 1333 -0.34965039   sp_27
    -#> 1334 -0.86551286   sp_27
    -#> 1335 -0.23627957   sp_27
    -#> 1336 -0.19717589   sp_27
    -#> 1337  1.10992029   sp_27
    -#> 1338  0.08473729   sp_27
    -#> 1339  0.75405379   sp_27
    -#> 1340 -0.49929202   sp_27
    -#> 1341  0.21444531   sp_27
    -#> 1342 -0.32468591   sp_27
    -#> 1343  0.09458353   sp_27
    -#> 1344 -0.89536336   sp_27
    -#> 1345 -1.31080153   sp_27
    -#> 1346  1.99721338   sp_27
    -#> 1347  0.60070882   sp_27
    -#> 1348 -1.25127136   sp_27
    -#> 1349 -0.61116592   sp_27
    -#> 1350 -1.18548008   sp_27
    -#> 1351  0.78773885   sp_28
    -#> 1352  0.76904224   sp_28
    -#> 1353  0.33220258   sp_28
    -#> 1354 -1.00837661   sp_28
    -#> 1355 -0.11945261   sp_28
    -#> 1356 -0.28039534   sp_28
    -#> 1357  0.56298953   sp_28
    -#> 1358 -0.37243876   sp_28
    -#> 1359  0.97697339   sp_28
    -#> 1360 -0.37458086   sp_28
    -#> 1361  1.05271147   sp_28
    -#> 1362 -1.04917701   sp_28
    -#> 1363 -1.26015524   sp_28
    -#> 1364  3.24103993   sp_28
    -#> 1365 -0.41685759   sp_28
    -#> 1366  0.29822759   sp_28
    -#> 1367  0.63656967   sp_28
    -#> 1368 -0.48378063   sp_28
    -#> 1369  0.51686204   sp_28
    -#> 1370  0.36896453   sp_28
    -#> 1371 -0.21538051   sp_28
    -#> 1372  0.06529303   sp_28
    -#> 1373 -0.03406725   sp_28
    -#> 1374  2.12845190   sp_28
    -#> 1375 -0.74133610   sp_28
    -#> 1376 -1.09599627   sp_28
    -#> 1377  0.03778840   sp_28
    -#> 1378  0.31048075   sp_28
    -#> 1379  0.43652348   sp_28
    -#> 1380 -0.45836533   sp_28
    -#> 1381 -1.06332613   sp_28
    -#> 1382  1.26318518   sp_28
    -#> 1383 -0.34965039   sp_28
    -#> 1384 -0.86551286   sp_28
    -#> 1385 -0.23627957   sp_28
    -#> 1386 -0.19717589   sp_28
    -#> 1387  1.10992029   sp_28
    -#> 1388  0.08473729   sp_28
    -#> 1389  0.75405379   sp_28
    -#> 1390 -0.49929202   sp_28
    -#> 1391  0.21444531   sp_28
    -#> 1392 -0.32468591   sp_28
    -#> 1393  0.09458353   sp_28
    -#> 1394 -0.89536336   sp_28
    -#> 1395 -1.31080153   sp_28
    -#> 1396  1.99721338   sp_28
    -#> 1397  0.60070882   sp_28
    -#> 1398 -1.25127136   sp_28
    -#> 1399 -0.61116592   sp_28
    -#> 1400 -1.18548008   sp_28
    -#> 1401  0.78773885   sp_29
    -#> 1402  0.76904224   sp_29
    -#> 1403  0.33220258   sp_29
    -#> 1404 -1.00837661   sp_29
    -#> 1405 -0.11945261   sp_29
    -#> 1406 -0.28039534   sp_29
    -#> 1407  0.56298953   sp_29
    -#> 1408 -0.37243876   sp_29
    -#> 1409  0.97697339   sp_29
    -#> 1410 -0.37458086   sp_29
    -#> 1411  1.05271147   sp_29
    -#> 1412 -1.04917701   sp_29
    -#> 1413 -1.26015524   sp_29
    -#> 1414  3.24103993   sp_29
    -#> 1415 -0.41685759   sp_29
    -#> 1416  0.29822759   sp_29
    -#> 1417  0.63656967   sp_29
    -#> 1418 -0.48378063   sp_29
    -#> 1419  0.51686204   sp_29
    -#> 1420  0.36896453   sp_29
    -#> 1421 -0.21538051   sp_29
    -#> 1422  0.06529303   sp_29
    -#> 1423 -0.03406725   sp_29
    -#> 1424  2.12845190   sp_29
    -#> 1425 -0.74133610   sp_29
    -#> 1426 -1.09599627   sp_29
    -#> 1427  0.03778840   sp_29
    -#> 1428  0.31048075   sp_29
    -#> 1429  0.43652348   sp_29
    -#> 1430 -0.45836533   sp_29
    -#> 1431 -1.06332613   sp_29
    -#> 1432  1.26318518   sp_29
    -#> 1433 -0.34965039   sp_29
    -#> 1434 -0.86551286   sp_29
    -#> 1435 -0.23627957   sp_29
    -#> 1436 -0.19717589   sp_29
    -#> 1437  1.10992029   sp_29
    -#> 1438  0.08473729   sp_29
    -#> 1439  0.75405379   sp_29
    -#> 1440 -0.49929202   sp_29
    -#> 1441  0.21444531   sp_29
    -#> 1442 -0.32468591   sp_29
    -#> 1443  0.09458353   sp_29
    -#> 1444 -0.89536336   sp_29
    -#> 1445 -1.31080153   sp_29
    -#> 1446  1.99721338   sp_29
    -#> 1447  0.60070882   sp_29
    -#> 1448 -1.25127136   sp_29
    -#> 1449 -0.61116592   sp_29
    -#> 1450 -1.18548008   sp_29
    -#> 1451  0.78773885   sp_30
    -#> 1452  0.76904224   sp_30
    -#> 1453  0.33220258   sp_30
    -#> 1454 -1.00837661   sp_30
    -#> 1455 -0.11945261   sp_30
    -#> 1456 -0.28039534   sp_30
    -#> 1457  0.56298953   sp_30
    -#> 1458 -0.37243876   sp_30
    -#> 1459  0.97697339   sp_30
    -#> 1460 -0.37458086   sp_30
    -#> 1461  1.05271147   sp_30
    -#> 1462 -1.04917701   sp_30
    -#> 1463 -1.26015524   sp_30
    -#> 1464  3.24103993   sp_30
    -#> 1465 -0.41685759   sp_30
    -#> 1466  0.29822759   sp_30
    -#> 1467  0.63656967   sp_30
    -#> 1468 -0.48378063   sp_30
    -#> 1469  0.51686204   sp_30
    -#> 1470  0.36896453   sp_30
    -#> 1471 -0.21538051   sp_30
    -#> 1472  0.06529303   sp_30
    -#> 1473 -0.03406725   sp_30
    -#> 1474  2.12845190   sp_30
    -#> 1475 -0.74133610   sp_30
    -#> 1476 -1.09599627   sp_30
    -#> 1477  0.03778840   sp_30
    -#> 1478  0.31048075   sp_30
    -#> 1479  0.43652348   sp_30
    -#> 1480 -0.45836533   sp_30
    -#> 1481 -1.06332613   sp_30
    -#> 1482  1.26318518   sp_30
    -#> 1483 -0.34965039   sp_30
    -#> 1484 -0.86551286   sp_30
    -#> 1485 -0.23627957   sp_30
    -#> 1486 -0.19717589   sp_30
    -#> 1487  1.10992029   sp_30
    -#> 1488  0.08473729   sp_30
    -#> 1489  0.75405379   sp_30
    -#> 1490 -0.49929202   sp_30
    -#> 1491  0.21444531   sp_30
    -#> 1492 -0.32468591   sp_30
    -#> 1493  0.09458353   sp_30
    -#> 1494 -0.89536336   sp_30
    -#> 1495 -1.31080153   sp_30
    -#> 1496  1.99721338   sp_30
    -#> 1497  0.60070882   sp_30
    -#> 1498 -1.25127136   sp_30
    -#> 1499 -0.61116592   sp_30
    -#> 1500 -1.18548008   sp_30
    -#> 
    -#> $event_covs
    -#> $event_covs$ec1
    -#>                [,1]        [,2]        [,3]        [,4]
    -#>    [1,]  0.67576242 -1.07420661  0.45457781 -0.21330714
    -#>    [2,]  0.93560368 -1.13689311  0.26691825  0.42833204
    -#>    [3,] -0.10555991 -0.73050967  1.90504358  0.33262173
    -#>    [4,]  1.39531344 -0.19070343 -0.52467120  3.18404447
    -#>    [5,]  0.49030264 -0.09616320  0.46852512 -0.98237064
    -#>    [6,] -1.02298384 -0.69341466 -0.76798957  1.29904997
    -#>    [7,]  1.57914556 -0.15689195 -0.35893656 -0.32903883
    -#>    [8,]  0.06923648  0.09690423  0.29003439 -0.74667894
    -#>    [9,] -0.84689639  1.19707766 -0.54862736  0.30304570
    -#>   [10,] -0.14126176 -1.00537758  0.15615571  0.23363361
    -#>   [11,]  0.35558761 -1.62185826  0.22071129  0.31045008
    -#>   [12,] -1.42110845  0.95536564  0.78417088  2.29961936
    -#>   [13,]  0.15670299  0.04673353  0.09658583  0.06976623
    -#>   [14,] -1.84847278 -1.67112706 -0.07753897 -0.58106738
    -#>   [15,]  0.05473653 -2.11120837 -1.49869825 -1.10148344
    -#>   [16,]  0.98605822 -1.09849001 -0.79951395  0.07987382
    -#>   [17,] -0.32274636  0.14641718  2.30506198 -1.12460367
    -#>   [18,] -0.30546964 -0.51675945  1.51239543 -0.76948492
    -#>   [19,] -0.08208690  0.78713361 -1.05859054  1.65517582
    -#>   [20,]  0.31322877 -0.08997520  1.07051604 -1.35110039
    -#>   [21,] -0.52261670 -0.24919068 -0.99579872 -1.03995504
    -#>   [22,] -0.01798024 -0.13217513 -2.54934277  1.04057346
    -#>   [23,]  0.24972574  2.41620737  0.68519824 -0.44695931
    -#>   [24,]  2.79739115  2.83222602 -1.21871182  0.46903196
    -#>   [25,] -0.21124692  0.18705115  0.22754273 -1.26190046
    -#>   [26,]  0.28558958  1.74924736 -0.16409000 -0.16292671
    -#>   [27,]  1.39857201  0.89839624 -1.64849482  0.22855697
    -#>   [28,]  1.65354723  1.41527635  0.41995160  0.72122081
    -#>   [29,] -1.19693521  0.30013157 -0.95444894 -0.45801807
    -#>   [30,]  0.05491197  1.82218882 -1.02234733  0.60613026
    -#>   [31,] -0.08893057 -0.26083224  0.46409123 -1.02040059
    -#>   [32,] -1.31345092 -0.49448088  1.75175715  0.05576477
    -#>   [33,]  0.33143440 -0.18984664  0.47049273 -0.95167954
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    -#>  [885,]  0.71633162  0.55773098  1.48193402 -0.61298775
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    -#>  [887,] -1.08914519  0.45778696 -0.07112673  1.77910267
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    -#>  [894,]  0.48409939 -0.24488378  0.91599206  0.80062236
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    -#>  [898,]  1.05766417  0.82514973 -0.07019422 -0.45364637
    -#>  [899,]  1.57530771 -2.00545782 -0.64319479 -1.43684344
    -#>  [900,] -0.05003727 -0.44374931  0.29986525 -1.56842462
    -#>  [901,]  0.67576242 -1.07420661  0.45457781 -0.21330714
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    -#>  [903,] -0.10555991 -0.73050967  1.90504358  0.33262173
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    -#>  [905,]  0.49030264 -0.09616320  0.46852512 -0.98237064
    -#>  [906,] -1.02298384 -0.69341466 -0.76798957  1.29904997
    -#>  [907,]  1.57914556 -0.15689195 -0.35893656 -0.32903883
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    -#>  [909,] -0.84689639  1.19707766 -0.54862736  0.30304570
    -#>  [910,] -0.14126176 -1.00537758  0.15615571  0.23363361
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    -#> [1350,] -0.05003727 -0.44374931  0.29986525 -1.56842462
    -#> [1351,]  0.67576242 -1.07420661  0.45457781 -0.21330714
    -#> [1352,]  0.93560368 -1.13689311  0.26691825  0.42833204
    -#> [1353,] -0.10555991 -0.73050967  1.90504358  0.33262173
    -#> [1354,]  1.39531344 -0.19070343 -0.52467120  3.18404447
    -#> [1355,]  0.49030264 -0.09616320  0.46852512 -0.98237064
    -#> [1356,] -1.02298384 -0.69341466 -0.76798957  1.29904997
    -#> [1357,]  1.57914556 -0.15689195 -0.35893656 -0.32903883
    -#> [1358,]  0.06923648  0.09690423  0.29003439 -0.74667894
    -#> [1359,] -0.84689639  1.19707766 -0.54862736  0.30304570
    -#> [1360,] -0.14126176 -1.00537758  0.15615571  0.23363361
    -#> [1361,]  0.35558761 -1.62185826  0.22071129  0.31045008
    -#> [1362,] -1.42110845  0.95536564  0.78417088  2.29961936
    -#> [1363,]  0.15670299  0.04673353  0.09658583  0.06976623
    -#> [1364,] -1.84847278 -1.67112706 -0.07753897 -0.58106738
    -#> [1365,]  0.05473653 -2.11120837 -1.49869825 -1.10148344
    -#> [1366,]  0.98605822 -1.09849001 -0.79951395  0.07987382
    -#> [1367,] -0.32274636  0.14641718  2.30506198 -1.12460367
    -#> [1368,] -0.30546964 -0.51675945  1.51239543 -0.76948492
    -#> [1369,] -0.08208690  0.78713361 -1.05859054  1.65517582
    -#> [1370,]  0.31322877 -0.08997520  1.07051604 -1.35110039
    -#> [1371,] -0.52261670 -0.24919068 -0.99579872 -1.03995504
    -#> [1372,] -0.01798024 -0.13217513 -2.54934277  1.04057346
    -#> [1373,]  0.24972574  2.41620737  0.68519824 -0.44695931
    -#> [1374,]  2.79739115  2.83222602 -1.21871182  0.46903196
    -#> [1375,] -0.21124692  0.18705115  0.22754273 -1.26190046
    -#> [1376,]  0.28558958  1.74924736 -0.16409000 -0.16292671
    -#> [1377,]  1.39857201  0.89839624 -1.64849482  0.22855697
    -#> [1378,]  1.65354723  1.41527635  0.41995160  0.72122081
    -#> [1379,] -1.19693521  0.30013157 -0.95444894 -0.45801807
    -#> [1380,]  0.05491197  1.82218882 -1.02234733  0.60613026
    -#> [1381,] -0.08893057 -0.26083224  0.46409123 -1.02040059
    -#> [1382,] -1.31345092 -0.49448088  1.75175715  0.05576477
    -#> [1383,]  0.33143440 -0.18984664  0.47049273 -0.95167954
    -#> [1384,]  1.15791047  0.58470526 -0.80645282  0.05455325
    -#> [1385,]  0.71633162  0.55773098  1.48193402 -0.61298775
    -#> [1386,]  1.11613662  1.03654801 -0.16248313 -0.97592669
    -#> [1387,] -1.08914519  0.45778696 -0.07112673  1.77910267
    -#> [1388,]  0.53513796 -0.37194488 -1.02554225 -0.58240167
    -#> [1389,]  0.34288839 -0.45093465  0.51423012 -0.33433805
    -#> [1390,]  0.23063364 -1.69186241  0.65979190 -1.02362359
    -#> [1391,] -0.89152157  0.91834117 -0.45270065 -1.74837228
    -#> [1392,]  1.76990411 -2.37740693  0.57281153  1.01724925
    -#> [1393,] -0.63096787  0.44428705  0.43913039  1.04062315
    -#> [1394,]  0.48409939 -0.24488378  0.91599206  0.80062236
    -#> [1395,] -0.93656903 -1.40078743  0.16027754 -0.27396237
    -#> [1396,] -0.98553911  0.08393068 -1.31999653  0.16122635
    -#> [1397,] -0.62492839  0.95716427  2.42448914 -0.91597924
    -#> [1398,]  1.05766417  0.82514973 -0.07019422 -0.45364637
    -#> [1399,]  1.57530771 -2.00545782 -0.64319479 -1.43684344
    -#> [1400,] -0.05003727 -0.44374931  0.29986525 -1.56842462
    -#> [1401,]  0.67576242 -1.07420661  0.45457781 -0.21330714
    -#> [1402,]  0.93560368 -1.13689311  0.26691825  0.42833204
    -#> [1403,] -0.10555991 -0.73050967  1.90504358  0.33262173
    -#> [1404,]  1.39531344 -0.19070343 -0.52467120  3.18404447
    -#> [1405,]  0.49030264 -0.09616320  0.46852512 -0.98237064
    -#> [1406,] -1.02298384 -0.69341466 -0.76798957  1.29904997
    -#> [1407,]  1.57914556 -0.15689195 -0.35893656 -0.32903883
    -#> [1408,]  0.06923648  0.09690423  0.29003439 -0.74667894
    -#> [1409,] -0.84689639  1.19707766 -0.54862736  0.30304570
    -#> [1410,] -0.14126176 -1.00537758  0.15615571  0.23363361
    -#> [1411,]  0.35558761 -1.62185826  0.22071129  0.31045008
    -#> [1412,] -1.42110845  0.95536564  0.78417088  2.29961936
    -#> [1413,]  0.15670299  0.04673353  0.09658583  0.06976623
    -#> [1414,] -1.84847278 -1.67112706 -0.07753897 -0.58106738
    -#> [1415,]  0.05473653 -2.11120837 -1.49869825 -1.10148344
    -#> [1416,]  0.98605822 -1.09849001 -0.79951395  0.07987382
    -#> [1417,] -0.32274636  0.14641718  2.30506198 -1.12460367
    -#> [1418,] -0.30546964 -0.51675945  1.51239543 -0.76948492
    -#> [1419,] -0.08208690  0.78713361 -1.05859054  1.65517582
    -#> [1420,]  0.31322877 -0.08997520  1.07051604 -1.35110039
    -#> [1421,] -0.52261670 -0.24919068 -0.99579872 -1.03995504
    -#> [1422,] -0.01798024 -0.13217513 -2.54934277  1.04057346
    -#> [1423,]  0.24972574  2.41620737  0.68519824 -0.44695931
    -#> [1424,]  2.79739115  2.83222602 -1.21871182  0.46903196
    -#> [1425,] -0.21124692  0.18705115  0.22754273 -1.26190046
    -#> [1426,]  0.28558958  1.74924736 -0.16409000 -0.16292671
    -#> [1427,]  1.39857201  0.89839624 -1.64849482  0.22855697
    -#> [1428,]  1.65354723  1.41527635  0.41995160  0.72122081
    -#> [1429,] -1.19693521  0.30013157 -0.95444894 -0.45801807
    -#> [1430,]  0.05491197  1.82218882 -1.02234733  0.60613026
    -#> [1431,] -0.08893057 -0.26083224  0.46409123 -1.02040059
    -#> [1432,] -1.31345092 -0.49448088  1.75175715  0.05576477
    -#> [1433,]  0.33143440 -0.18984664  0.47049273 -0.95167954
    -#> [1434,]  1.15791047  0.58470526 -0.80645282  0.05455325
    -#> [1435,]  0.71633162  0.55773098  1.48193402 -0.61298775
    -#> [1436,]  1.11613662  1.03654801 -0.16248313 -0.97592669
    -#> [1437,] -1.08914519  0.45778696 -0.07112673  1.77910267
    -#> [1438,]  0.53513796 -0.37194488 -1.02554225 -0.58240167
    -#> [1439,]  0.34288839 -0.45093465  0.51423012 -0.33433805
    -#> [1440,]  0.23063364 -1.69186241  0.65979190 -1.02362359
    -#> [1441,] -0.89152157  0.91834117 -0.45270065 -1.74837228
    -#> [1442,]  1.76990411 -2.37740693  0.57281153  1.01724925
    -#> [1443,] -0.63096787  0.44428705  0.43913039  1.04062315
    -#> [1444,]  0.48409939 -0.24488378  0.91599206  0.80062236
    -#> [1445,] -0.93656903 -1.40078743  0.16027754 -0.27396237
    -#> [1446,] -0.98553911  0.08393068 -1.31999653  0.16122635
    -#> [1447,] -0.62492839  0.95716427  2.42448914 -0.91597924
    -#> [1448,]  1.05766417  0.82514973 -0.07019422 -0.45364637
    -#> [1449,]  1.57530771 -2.00545782 -0.64319479 -1.43684344
    -#> [1450,] -0.05003727 -0.44374931  0.29986525 -1.56842462
    -#> [1451,]  0.67576242 -1.07420661  0.45457781 -0.21330714
    -#> [1452,]  0.93560368 -1.13689311  0.26691825  0.42833204
    -#> [1453,] -0.10555991 -0.73050967  1.90504358  0.33262173
    -#> [1454,]  1.39531344 -0.19070343 -0.52467120  3.18404447
    -#> [1455,]  0.49030264 -0.09616320  0.46852512 -0.98237064
    -#> [1456,] -1.02298384 -0.69341466 -0.76798957  1.29904997
    -#> [1457,]  1.57914556 -0.15689195 -0.35893656 -0.32903883
    -#> [1458,]  0.06923648  0.09690423  0.29003439 -0.74667894
    -#> [1459,] -0.84689639  1.19707766 -0.54862736  0.30304570
    -#> [1460,] -0.14126176 -1.00537758  0.15615571  0.23363361
    -#> [1461,]  0.35558761 -1.62185826  0.22071129  0.31045008
    -#> [1462,] -1.42110845  0.95536564  0.78417088  2.29961936
    -#> [1463,]  0.15670299  0.04673353  0.09658583  0.06976623
    -#> [1464,] -1.84847278 -1.67112706 -0.07753897 -0.58106738
    -#> [1465,]  0.05473653 -2.11120837 -1.49869825 -1.10148344
    -#> [1466,]  0.98605822 -1.09849001 -0.79951395  0.07987382
    -#> [1467,] -0.32274636  0.14641718  2.30506198 -1.12460367
    -#> [1468,] -0.30546964 -0.51675945  1.51239543 -0.76948492
    -#> [1469,] -0.08208690  0.78713361 -1.05859054  1.65517582
    -#> [1470,]  0.31322877 -0.08997520  1.07051604 -1.35110039
    -#> [1471,] -0.52261670 -0.24919068 -0.99579872 -1.03995504
    -#> [1472,] -0.01798024 -0.13217513 -2.54934277  1.04057346
    -#> [1473,]  0.24972574  2.41620737  0.68519824 -0.44695931
    -#> [1474,]  2.79739115  2.83222602 -1.21871182  0.46903196
    -#> [1475,] -0.21124692  0.18705115  0.22754273 -1.26190046
    -#> [1476,]  0.28558958  1.74924736 -0.16409000 -0.16292671
    -#> [1477,]  1.39857201  0.89839624 -1.64849482  0.22855697
    -#> [1478,]  1.65354723  1.41527635  0.41995160  0.72122081
    -#> [1479,] -1.19693521  0.30013157 -0.95444894 -0.45801807
    -#> [1480,]  0.05491197  1.82218882 -1.02234733  0.60613026
    -#> [1481,] -0.08893057 -0.26083224  0.46409123 -1.02040059
    -#> [1482,] -1.31345092 -0.49448088  1.75175715  0.05576477
    -#> [1483,]  0.33143440 -0.18984664  0.47049273 -0.95167954
    -#> [1484,]  1.15791047  0.58470526 -0.80645282  0.05455325
    -#> [1485,]  0.71633162  0.55773098  1.48193402 -0.61298775
    -#> [1486,]  1.11613662  1.03654801 -0.16248313 -0.97592669
    -#> [1487,] -1.08914519  0.45778696 -0.07112673  1.77910267
    -#> [1488,]  0.53513796 -0.37194488 -1.02554225 -0.58240167
    -#> [1489,]  0.34288839 -0.45093465  0.51423012 -0.33433805
    -#> [1490,]  0.23063364 -1.69186241  0.65979190 -1.02362359
    -#> [1491,] -0.89152157  0.91834117 -0.45270065 -1.74837228
    -#> [1492,]  1.76990411 -2.37740693  0.57281153  1.01724925
    -#> [1493,] -0.63096787  0.44428705  0.43913039  1.04062315
    -#> [1494,]  0.48409939 -0.24488378  0.91599206  0.80062236
    -#> [1495,] -0.93656903 -1.40078743  0.16027754 -0.27396237
    -#> [1496,] -0.98553911  0.08393068 -1.31999653  0.16122635
    -#> [1497,] -0.62492839  0.95716427  2.42448914 -0.91597924
    -#> [1498,]  1.05766417  0.82514973 -0.07019422 -0.45364637
    -#> [1499,]  1.57530771 -2.00545782 -0.64319479 -1.43684344
    -#> [1500,] -0.05003727 -0.44374931  0.29986525 -1.56842462
    -#> 
    -#> 
    -#> $params
    -#> $params$coef_means
    -#> [1] 0 0 0 0 0
    -#> 
    -#> $params$Sigma
    -#>      [,1] [,2] [,3] [,4] [,5]
    -#> [1,]  1.0  0.5  0.5  0.5  0.5
    -#> [2,]  0.5  1.0  0.5  0.5  0.5
    -#> [3,]  0.5  0.5  1.0  0.5  0.5
    -#> [4,]  0.5  0.5  0.5  1.0  0.5
    -#> [5,]  0.5  0.5  0.5  0.5  1.0
    -#> 
    -#> $params$coefs
    -#>    det_intercept det_slope_unit det_slope_visit occ_intercept occ_slope_unit
    -#> 1    0.508548810     0.77807011      0.80482970   -0.17360000     0.25286423
    -#> 2   -0.420940845     0.77990025      0.12350617    0.35203975     0.05696827
    -#> 3   -1.517626038    -0.89263386     -1.28636204   -1.61767754    -0.72255187
    -#> 4   -0.216582489     0.03204391     -0.71897615   -0.12384829     0.75428519
    -#> 5    1.066014876     0.66757562     -0.79646966   -1.12971558    -0.30813450
    -#> 6   -1.740812948    -1.63284467     -1.14658859   -1.40540609    -0.71676583
    -#> 7   -0.208152618     0.54095837      0.23442360   -1.45313390    -0.89921624
    -#> 8    1.029218989     1.71515102      1.25425367    0.48142456     0.41951285
    -#> 9   -0.076297618     0.24019585      1.18828474    0.80697467     0.50101201
    -#> 10   0.300109084    -0.88154177      1.39343691    0.64725408     0.26678308
    -#> 11  -0.034555501    -1.35817078     -1.58431721   -0.53454897    -1.22925595
    -#> 12   0.006845644     0.59475669     -1.66797651   -0.05963075    -0.26754803
    -#> 13  -0.284358241    -0.79588393      0.23456607    0.27944565    -0.98595070
    -#> 14  -0.352944922     0.05803719     -0.49475617   -0.90398219     1.26497378
    -#> 15  -0.868034872     0.52263808      0.19118352    0.54950737     1.75746936
    -#> 16  -0.668616485    -1.94812518     -0.96619798   -1.10731830    -2.23042688
    -#> 17  -1.309423215    -0.44645562     -0.45330736    0.34195221    -0.06093262
    -#> 18   1.991318996     1.00395704      0.40903399    2.33951041     1.87285506
    -#> 19   0.664155168    -1.09933744     -0.80166071   -1.12973093    -0.34976581
    -#> 20  -0.546975568     1.10312602      0.66584579    0.34624304     0.26287397
    -#> 21   1.270980071     0.42645941      0.62367626    0.78061459     1.03393310
    -#> 22   0.003014390     0.37806468      0.53865575   -0.02348742    -0.05203418
    -#> 23  -0.199571642     0.36542420      0.55525681    1.64772961     1.60485916
    -#> 24  -0.393363218     0.54848421      1.17452890    0.06236571     1.43096800
    -#> 25  -0.528747078     1.07503581      0.69402335    0.70311279     0.47734180
    -#> 26   0.970732254     1.42372476      1.63614734    0.49273008     2.00920068
    -#> 27  -1.573442460    -0.75277626      0.24610808    0.19206408    -1.35668872
    -#> 28   0.316274462    -0.70178439     -0.07792268   -0.35759633     0.22701742
    -#> 29   2.209822598     0.23992275      0.21586628    0.80925977     0.93311401
    -#> 30  -1.785190406    -1.68593270     -0.26145023   -0.66968627    -0.45374470
    -#> 
    -#> 
    -#> $covariates
    -#> $covariates$uc1
    -#>    [1]  0.78773885  0.78773885  0.78773885  0.78773885  0.78773885  0.78773885
    -#>    [7]  0.78773885  0.78773885  0.78773885  0.78773885  0.78773885  0.78773885
    -#>   [13]  0.78773885  0.78773885  0.78773885  0.78773885  0.78773885  0.78773885
    -#>   [19]  0.78773885  0.78773885  0.78773885  0.78773885  0.78773885  0.78773885
    -#>   [25]  0.78773885  0.78773885  0.78773885  0.78773885  0.78773885  0.78773885
    -#>   [31]  0.76904224  0.76904224  0.76904224  0.76904224  0.76904224  0.76904224
    -#>   [37]  0.76904224  0.76904224  0.76904224  0.76904224  0.76904224  0.76904224
    -#>   [43]  0.76904224  0.76904224  0.76904224  0.76904224  0.76904224  0.76904224
    -#>   [49]  0.76904224  0.76904224  0.76904224  0.76904224  0.76904224  0.76904224
    -#>   [55]  0.76904224  0.76904224  0.76904224  0.76904224  0.76904224  0.76904224
    -#>   [61]  0.33220258  0.33220258  0.33220258  0.33220258  0.33220258  0.33220258
    -#>   [67]  0.33220258  0.33220258  0.33220258  0.33220258  0.33220258  0.33220258
    -#>   [73]  0.33220258  0.33220258  0.33220258  0.33220258  0.33220258  0.33220258
    -#>   [79]  0.33220258  0.33220258  0.33220258  0.33220258  0.33220258  0.33220258
    -#>   [85]  0.33220258  0.33220258  0.33220258  0.33220258  0.33220258  0.33220258
    -#>   [91] -1.00837661 -1.00837661 -1.00837661 -1.00837661 -1.00837661 -1.00837661
    -#>   [97] -1.00837661 -1.00837661 -1.00837661 -1.00837661 -1.00837661 -1.00837661
    -#>  [103] -1.00837661 -1.00837661 -1.00837661 -1.00837661 -1.00837661 -1.00837661
    -#>  [109] -1.00837661 -1.00837661 -1.00837661 -1.00837661 -1.00837661 -1.00837661
    -#>  [115] -1.00837661 -1.00837661 -1.00837661 -1.00837661 -1.00837661 -1.00837661
    -#>  [121] -0.11945261 -0.11945261 -0.11945261 -0.11945261 -0.11945261 -0.11945261
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    -#>  [307]  1.05271147  1.05271147  1.05271147  1.05271147  1.05271147  1.05271147
    -#>  [313]  1.05271147  1.05271147  1.05271147  1.05271147  1.05271147  1.05271147
    -#>  [319]  1.05271147  1.05271147  1.05271147  1.05271147  1.05271147  1.05271147
    -#>  [325]  1.05271147  1.05271147  1.05271147  1.05271147  1.05271147  1.05271147
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    -#>  [379] -1.26015524 -1.26015524 -1.26015524 -1.26015524 -1.26015524 -1.26015524
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    -#>  [403]  3.24103993  3.24103993  3.24103993  3.24103993  3.24103993  3.24103993
    -#>  [409]  3.24103993  3.24103993  3.24103993  3.24103993  3.24103993  3.24103993
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    -#>  [943]  1.26318518  1.26318518  1.26318518  1.26318518  1.26318518  1.26318518
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    -#> [1075] -0.19717589 -0.19717589 -0.19717589 -0.19717589 -0.19717589 -0.19717589
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    -#> [1087]  1.10992029  1.10992029  1.10992029  1.10992029  1.10992029  1.10992029
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    -#> [1099]  1.10992029  1.10992029  1.10992029  1.10992029  1.10992029  1.10992029
    -#> [1105]  1.10992029  1.10992029  1.10992029  1.10992029  1.10992029  1.10992029
    -#> [1111]  0.08473729  0.08473729  0.08473729  0.08473729  0.08473729  0.08473729
    -#> [1117]  0.08473729  0.08473729  0.08473729  0.08473729  0.08473729  0.08473729
    -#> [1123]  0.08473729  0.08473729  0.08473729  0.08473729  0.08473729  0.08473729
    -#> [1129]  0.08473729  0.08473729  0.08473729  0.08473729  0.08473729  0.08473729
    -#> [1135]  0.08473729  0.08473729  0.08473729  0.08473729  0.08473729  0.08473729
    -#> [1141]  0.75405379  0.75405379  0.75405379  0.75405379  0.75405379  0.75405379
    -#> [1147]  0.75405379  0.75405379  0.75405379  0.75405379  0.75405379  0.75405379
    -#> [1153]  0.75405379  0.75405379  0.75405379  0.75405379  0.75405379  0.75405379
    -#> [1159]  0.75405379  0.75405379  0.75405379  0.75405379  0.75405379  0.75405379
    -#> [1165]  0.75405379  0.75405379  0.75405379  0.75405379  0.75405379  0.75405379
    -#> [1171] -0.49929202 -0.49929202 -0.49929202 -0.49929202 -0.49929202 -0.49929202
    -#> [1177] -0.49929202 -0.49929202 -0.49929202 -0.49929202 -0.49929202 -0.49929202
    -#> [1183] -0.49929202 -0.49929202 -0.49929202 -0.49929202 -0.49929202 -0.49929202
    -#> [1189] -0.49929202 -0.49929202 -0.49929202 -0.49929202 -0.49929202 -0.49929202
    -#> [1195] -0.49929202 -0.49929202 -0.49929202 -0.49929202 -0.49929202 -0.49929202
    -#> [1201]  0.21444531  0.21444531  0.21444531  0.21444531  0.21444531  0.21444531
    -#> [1207]  0.21444531  0.21444531  0.21444531  0.21444531  0.21444531  0.21444531
    -#> [1213]  0.21444531  0.21444531  0.21444531  0.21444531  0.21444531  0.21444531
    -#> [1219]  0.21444531  0.21444531  0.21444531  0.21444531  0.21444531  0.21444531
    -#> [1225]  0.21444531  0.21444531  0.21444531  0.21444531  0.21444531  0.21444531
    -#> [1231] -0.32468591 -0.32468591 -0.32468591 -0.32468591 -0.32468591 -0.32468591
    -#> [1237] -0.32468591 -0.32468591 -0.32468591 -0.32468591 -0.32468591 -0.32468591
    -#> [1243] -0.32468591 -0.32468591 -0.32468591 -0.32468591 -0.32468591 -0.32468591
    -#> [1249] -0.32468591 -0.32468591 -0.32468591 -0.32468591 -0.32468591 -0.32468591
    -#> [1255] -0.32468591 -0.32468591 -0.32468591 -0.32468591 -0.32468591 -0.32468591
    -#> [1261]  0.09458353  0.09458353  0.09458353  0.09458353  0.09458353  0.09458353
    -#> [1267]  0.09458353  0.09458353  0.09458353  0.09458353  0.09458353  0.09458353
    -#> [1273]  0.09458353  0.09458353  0.09458353  0.09458353  0.09458353  0.09458353
    -#> [1279]  0.09458353  0.09458353  0.09458353  0.09458353  0.09458353  0.09458353
    -#> [1285]  0.09458353  0.09458353  0.09458353  0.09458353  0.09458353  0.09458353
    -#> [1291] -0.89536336 -0.89536336 -0.89536336 -0.89536336 -0.89536336 -0.89536336
    -#> [1297] -0.89536336 -0.89536336 -0.89536336 -0.89536336 -0.89536336 -0.89536336
    -#> [1303] -0.89536336 -0.89536336 -0.89536336 -0.89536336 -0.89536336 -0.89536336
    -#> [1309] -0.89536336 -0.89536336 -0.89536336 -0.89536336 -0.89536336 -0.89536336
    -#> [1315] -0.89536336 -0.89536336 -0.89536336 -0.89536336 -0.89536336 -0.89536336
    -#> [1321] -1.31080153 -1.31080153 -1.31080153 -1.31080153 -1.31080153 -1.31080153
    -#> [1327] -1.31080153 -1.31080153 -1.31080153 -1.31080153 -1.31080153 -1.31080153
    -#> [1333] -1.31080153 -1.31080153 -1.31080153 -1.31080153 -1.31080153 -1.31080153
    -#> [1339] -1.31080153 -1.31080153 -1.31080153 -1.31080153 -1.31080153 -1.31080153
    -#> [1345] -1.31080153 -1.31080153 -1.31080153 -1.31080153 -1.31080153 -1.31080153
    -#> [1351]  1.99721338  1.99721338  1.99721338  1.99721338  1.99721338  1.99721338
    -#> [1357]  1.99721338  1.99721338  1.99721338  1.99721338  1.99721338  1.99721338
    -#> [1363]  1.99721338  1.99721338  1.99721338  1.99721338  1.99721338  1.99721338
    -#> [1369]  1.99721338  1.99721338  1.99721338  1.99721338  1.99721338  1.99721338
    -#> [1375]  1.99721338  1.99721338  1.99721338  1.99721338  1.99721338  1.99721338
    -#> [1381]  0.60070882  0.60070882  0.60070882  0.60070882  0.60070882  0.60070882
    -#> [1387]  0.60070882  0.60070882  0.60070882  0.60070882  0.60070882  0.60070882
    -#> [1393]  0.60070882  0.60070882  0.60070882  0.60070882  0.60070882  0.60070882
    -#> [1399]  0.60070882  0.60070882  0.60070882  0.60070882  0.60070882  0.60070882
    -#> [1405]  0.60070882  0.60070882  0.60070882  0.60070882  0.60070882  0.60070882
    -#> [1411] -1.25127136 -1.25127136 -1.25127136 -1.25127136 -1.25127136 -1.25127136
    -#> [1417] -1.25127136 -1.25127136 -1.25127136 -1.25127136 -1.25127136 -1.25127136
    -#> [1423] -1.25127136 -1.25127136 -1.25127136 -1.25127136 -1.25127136 -1.25127136
    -#> [1429] -1.25127136 -1.25127136 -1.25127136 -1.25127136 -1.25127136 -1.25127136
    -#> [1435] -1.25127136 -1.25127136 -1.25127136 -1.25127136 -1.25127136 -1.25127136
    -#> [1441] -0.61116592 -0.61116592 -0.61116592 -0.61116592 -0.61116592 -0.61116592
    -#> [1447] -0.61116592 -0.61116592 -0.61116592 -0.61116592 -0.61116592 -0.61116592
    -#> [1453] -0.61116592 -0.61116592 -0.61116592 -0.61116592 -0.61116592 -0.61116592
    -#> [1459] -0.61116592 -0.61116592 -0.61116592 -0.61116592 -0.61116592 -0.61116592
    -#> [1465] -0.61116592 -0.61116592 -0.61116592 -0.61116592 -0.61116592 -0.61116592
    -#> [1471] -1.18548008 -1.18548008 -1.18548008 -1.18548008 -1.18548008 -1.18548008
    -#> [1477] -1.18548008 -1.18548008 -1.18548008 -1.18548008 -1.18548008 -1.18548008
    -#> [1483] -1.18548008 -1.18548008 -1.18548008 -1.18548008 -1.18548008 -1.18548008
    -#> [1489] -1.18548008 -1.18548008 -1.18548008 -1.18548008 -1.18548008 -1.18548008
    -#> [1495] -1.18548008 -1.18548008 -1.18548008 -1.18548008 -1.18548008 -1.18548008
    -#> 
    -#> $covariates$ec1
    -#>    [1]  0.67576242  0.67576242  0.67576242  0.67576242  0.67576242  0.67576242
    -#>    [7]  0.67576242  0.67576242  0.67576242  0.67576242  0.67576242  0.67576242
    -#>   [13]  0.67576242  0.67576242  0.67576242  0.67576242  0.67576242  0.67576242
    -#>   [19]  0.67576242  0.67576242  0.67576242  0.67576242  0.67576242  0.67576242
    -#>   [25]  0.67576242  0.67576242  0.67576242  0.67576242  0.67576242  0.67576242
    -#>   [31]  0.93560368  0.93560368  0.93560368  0.93560368  0.93560368  0.93560368
    -#>   [37]  0.93560368  0.93560368  0.93560368  0.93560368  0.93560368  0.93560368
    -#>   [43]  0.93560368  0.93560368  0.93560368  0.93560368  0.93560368  0.93560368
    -#>   [49]  0.93560368  0.93560368  0.93560368  0.93560368  0.93560368  0.93560368
    -#>   [55]  0.93560368  0.93560368  0.93560368  0.93560368  0.93560368  0.93560368
    -#>   [61] -0.10555991 -0.10555991 -0.10555991 -0.10555991 -0.10555991 -0.10555991
    -#>   [67] -0.10555991 -0.10555991 -0.10555991 -0.10555991 -0.10555991 -0.10555991
    -#>   [73] -0.10555991 -0.10555991 -0.10555991 -0.10555991 -0.10555991 -0.10555991
    -#>   [79] -0.10555991 -0.10555991 -0.10555991 -0.10555991 -0.10555991 -0.10555991
    -#>   [85] -0.10555991 -0.10555991 -0.10555991 -0.10555991 -0.10555991 -0.10555991
    -#>   [91]  1.39531344  1.39531344  1.39531344  1.39531344  1.39531344  1.39531344
    -#>   [97]  1.39531344  1.39531344  1.39531344  1.39531344  1.39531344  1.39531344
    -#>  [103]  1.39531344  1.39531344  1.39531344  1.39531344  1.39531344  1.39531344
    -#>  [109]  1.39531344  1.39531344  1.39531344  1.39531344  1.39531344  1.39531344
    -#>  [115]  1.39531344  1.39531344  1.39531344  1.39531344  1.39531344  1.39531344
    -#>  [121]  0.49030264  0.49030264  0.49030264  0.49030264  0.49030264  0.49030264
    -#>  [127]  0.49030264  0.49030264  0.49030264  0.49030264  0.49030264  0.49030264
    -#>  [133]  0.49030264  0.49030264  0.49030264  0.49030264  0.49030264  0.49030264
    -#>  [139]  0.49030264  0.49030264  0.49030264  0.49030264  0.49030264  0.49030264
    -#>  [145]  0.49030264  0.49030264  0.49030264  0.49030264  0.49030264  0.49030264
    -#>  [151] -1.02298384 -1.02298384 -1.02298384 -1.02298384 -1.02298384 -1.02298384
    -#>  [157] -1.02298384 -1.02298384 -1.02298384 -1.02298384 -1.02298384 -1.02298384
    -#>  [163] -1.02298384 -1.02298384 -1.02298384 -1.02298384 -1.02298384 -1.02298384
    -#>  [169] -1.02298384 -1.02298384 -1.02298384 -1.02298384 -1.02298384 -1.02298384
    -#>  [175] -1.02298384 -1.02298384 -1.02298384 -1.02298384 -1.02298384 -1.02298384
    -#>  [181]  1.57914556  1.57914556  1.57914556  1.57914556  1.57914556  1.57914556
    -#>  [187]  1.57914556  1.57914556  1.57914556  1.57914556  1.57914556  1.57914556
    -#>  [193]  1.57914556  1.57914556  1.57914556  1.57914556  1.57914556  1.57914556
    -#>  [199]  1.57914556  1.57914556  1.57914556  1.57914556  1.57914556  1.57914556
    -#>  [205]  1.57914556  1.57914556  1.57914556  1.57914556  1.57914556  1.57914556
    -#>  [211]  0.06923648  0.06923648  0.06923648  0.06923648  0.06923648  0.06923648
    -#>  [217]  0.06923648  0.06923648  0.06923648  0.06923648  0.06923648  0.06923648
    -#>  [223]  0.06923648  0.06923648  0.06923648  0.06923648  0.06923648  0.06923648
    -#>  [229]  0.06923648  0.06923648  0.06923648  0.06923648  0.06923648  0.06923648
    -#>  [235]  0.06923648  0.06923648  0.06923648  0.06923648  0.06923648  0.06923648
    -#>  [241] -0.84689639 -0.84689639 -0.84689639 -0.84689639 -0.84689639 -0.84689639
    -#>  [247] -0.84689639 -0.84689639 -0.84689639 -0.84689639 -0.84689639 -0.84689639
    -#>  [253] -0.84689639 -0.84689639 -0.84689639 -0.84689639 -0.84689639 -0.84689639
    -#>  [259] -0.84689639 -0.84689639 -0.84689639 -0.84689639 -0.84689639 -0.84689639
    -#>  [265] -0.84689639 -0.84689639 -0.84689639 -0.84689639 -0.84689639 -0.84689639
    -#>  [271] -0.14126176 -0.14126176 -0.14126176 -0.14126176 -0.14126176 -0.14126176
    -#>  [277] -0.14126176 -0.14126176 -0.14126176 -0.14126176 -0.14126176 -0.14126176
    -#>  [283] -0.14126176 -0.14126176 -0.14126176 -0.14126176 -0.14126176 -0.14126176
    -#>  [289] -0.14126176 -0.14126176 -0.14126176 -0.14126176 -0.14126176 -0.14126176
    -#>  [295] -0.14126176 -0.14126176 -0.14126176 -0.14126176 -0.14126176 -0.14126176
    -#>  [301]  0.35558761  0.35558761  0.35558761  0.35558761  0.35558761  0.35558761
    -#>  [307]  0.35558761  0.35558761  0.35558761  0.35558761  0.35558761  0.35558761
    -#>  [313]  0.35558761  0.35558761  0.35558761  0.35558761  0.35558761  0.35558761
    -#>  [319]  0.35558761  0.35558761  0.35558761  0.35558761  0.35558761  0.35558761
    -#>  [325]  0.35558761  0.35558761  0.35558761  0.35558761  0.35558761  0.35558761
    -#>  [331] -1.42110845 -1.42110845 -1.42110845 -1.42110845 -1.42110845 -1.42110845
    -#>  [337] -1.42110845 -1.42110845 -1.42110845 -1.42110845 -1.42110845 -1.42110845
    -#>  [343] -1.42110845 -1.42110845 -1.42110845 -1.42110845 -1.42110845 -1.42110845
    -#>  [349] -1.42110845 -1.42110845 -1.42110845 -1.42110845 -1.42110845 -1.42110845
    -#>  [355] -1.42110845 -1.42110845 -1.42110845 -1.42110845 -1.42110845 -1.42110845
    -#>  [361]  0.15670299  0.15670299  0.15670299  0.15670299  0.15670299  0.15670299
    -#>  [367]  0.15670299  0.15670299  0.15670299  0.15670299  0.15670299  0.15670299
    -#>  [373]  0.15670299  0.15670299  0.15670299  0.15670299  0.15670299  0.15670299
    -#>  [379]  0.15670299  0.15670299  0.15670299  0.15670299  0.15670299  0.15670299
    -#>  [385]  0.15670299  0.15670299  0.15670299  0.15670299  0.15670299  0.15670299
    -#>  [391] -1.84847278 -1.84847278 -1.84847278 -1.84847278 -1.84847278 -1.84847278
    -#>  [397] -1.84847278 -1.84847278 -1.84847278 -1.84847278 -1.84847278 -1.84847278
    -#>  [403] -1.84847278 -1.84847278 -1.84847278 -1.84847278 -1.84847278 -1.84847278
    -#>  [409] -1.84847278 -1.84847278 -1.84847278 -1.84847278 -1.84847278 -1.84847278
    -#>  [415] -1.84847278 -1.84847278 -1.84847278 -1.84847278 -1.84847278 -1.84847278
    -#>  [421]  0.05473653  0.05473653  0.05473653  0.05473653  0.05473653  0.05473653
    -#>  [427]  0.05473653  0.05473653  0.05473653  0.05473653  0.05473653  0.05473653
    -#>  [433]  0.05473653  0.05473653  0.05473653  0.05473653  0.05473653  0.05473653
    -#>  [439]  0.05473653  0.05473653  0.05473653  0.05473653  0.05473653  0.05473653
    -#>  [445]  0.05473653  0.05473653  0.05473653  0.05473653  0.05473653  0.05473653
    -#>  [451]  0.98605822  0.98605822  0.98605822  0.98605822  0.98605822  0.98605822
    -#>  [457]  0.98605822  0.98605822  0.98605822  0.98605822  0.98605822  0.98605822
    -#>  [463]  0.98605822  0.98605822  0.98605822  0.98605822  0.98605822  0.98605822
    -#>  [469]  0.98605822  0.98605822  0.98605822  0.98605822  0.98605822  0.98605822
    -#>  [475]  0.98605822  0.98605822  0.98605822  0.98605822  0.98605822  0.98605822
    -#>  [481] -0.32274636 -0.32274636 -0.32274636 -0.32274636 -0.32274636 -0.32274636
    -#>  [487] -0.32274636 -0.32274636 -0.32274636 -0.32274636 -0.32274636 -0.32274636
    -#>  [493] -0.32274636 -0.32274636 -0.32274636 -0.32274636 -0.32274636 -0.32274636
    -#>  [499] -0.32274636 -0.32274636 -0.32274636 -0.32274636 -0.32274636 -0.32274636
    -#>  [505] -0.32274636 -0.32274636 -0.32274636 -0.32274636 -0.32274636 -0.32274636
    -#>  [511] -0.30546964 -0.30546964 -0.30546964 -0.30546964 -0.30546964 -0.30546964
    -#>  [517] -0.30546964 -0.30546964 -0.30546964 -0.30546964 -0.30546964 -0.30546964
    -#>  [523] -0.30546964 -0.30546964 -0.30546964 -0.30546964 -0.30546964 -0.30546964
    -#>  [529] -0.30546964 -0.30546964 -0.30546964 -0.30546964 -0.30546964 -0.30546964
    -#>  [535] -0.30546964 -0.30546964 -0.30546964 -0.30546964 -0.30546964 -0.30546964
    -#>  [541] -0.08208690 -0.08208690 -0.08208690 -0.08208690 -0.08208690 -0.08208690
    -#>  [547] -0.08208690 -0.08208690 -0.08208690 -0.08208690 -0.08208690 -0.08208690
    -#>  [553] -0.08208690 -0.08208690 -0.08208690 -0.08208690 -0.08208690 -0.08208690
    -#>  [559] -0.08208690 -0.08208690 -0.08208690 -0.08208690 -0.08208690 -0.08208690
    -#>  [565] -0.08208690 -0.08208690 -0.08208690 -0.08208690 -0.08208690 -0.08208690
    -#>  [571]  0.31322877  0.31322877  0.31322877  0.31322877  0.31322877  0.31322877
    -#>  [577]  0.31322877  0.31322877  0.31322877  0.31322877  0.31322877  0.31322877
    -#>  [583]  0.31322877  0.31322877  0.31322877  0.31322877  0.31322877  0.31322877
    -#>  [589]  0.31322877  0.31322877  0.31322877  0.31322877  0.31322877  0.31322877
    -#>  [595]  0.31322877  0.31322877  0.31322877  0.31322877  0.31322877  0.31322877
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    -#>  [607] -0.52261670 -0.52261670 -0.52261670 -0.52261670 -0.52261670 -0.52261670
    -#>  [613] -0.52261670 -0.52261670 -0.52261670 -0.52261670 -0.52261670 -0.52261670
    -#>  [619] -0.52261670 -0.52261670 -0.52261670 -0.52261670 -0.52261670 -0.52261670
    -#>  [625] -0.52261670 -0.52261670 -0.52261670 -0.52261670 -0.52261670 -0.52261670
    -#>  [631] -0.01798024 -0.01798024 -0.01798024 -0.01798024 -0.01798024 -0.01798024
    -#>  [637] -0.01798024 -0.01798024 -0.01798024 -0.01798024 -0.01798024 -0.01798024
    -#>  [643] -0.01798024 -0.01798024 -0.01798024 -0.01798024 -0.01798024 -0.01798024
    -#>  [649] -0.01798024 -0.01798024 -0.01798024 -0.01798024 -0.01798024 -0.01798024
    -#>  [655] -0.01798024 -0.01798024 -0.01798024 -0.01798024 -0.01798024 -0.01798024
    -#>  [661]  0.24972574  0.24972574  0.24972574  0.24972574  0.24972574  0.24972574
    -#>  [667]  0.24972574  0.24972574  0.24972574  0.24972574  0.24972574  0.24972574
    -#>  [673]  0.24972574  0.24972574  0.24972574  0.24972574  0.24972574  0.24972574
    -#>  [679]  0.24972574  0.24972574  0.24972574  0.24972574  0.24972574  0.24972574
    -#>  [685]  0.24972574  0.24972574  0.24972574  0.24972574  0.24972574  0.24972574
    -#>  [691]  2.79739115  2.79739115  2.79739115  2.79739115  2.79739115  2.79739115
    -#>  [697]  2.79739115  2.79739115  2.79739115  2.79739115  2.79739115  2.79739115
    -#>  [703]  2.79739115  2.79739115  2.79739115  2.79739115  2.79739115  2.79739115
    -#>  [709]  2.79739115  2.79739115  2.79739115  2.79739115  2.79739115  2.79739115
    -#>  [715]  2.79739115  2.79739115  2.79739115  2.79739115  2.79739115  2.79739115
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    -#>  [733] -0.21124692 -0.21124692 -0.21124692 -0.21124692 -0.21124692 -0.21124692
    -#>  [739] -0.21124692 -0.21124692 -0.21124692 -0.21124692 -0.21124692 -0.21124692
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    -#>  [763]  0.28558958  0.28558958  0.28558958  0.28558958  0.28558958  0.28558958
    -#>  [769]  0.28558958  0.28558958  0.28558958  0.28558958  0.28558958  0.28558958
    -#>  [775]  0.28558958  0.28558958  0.28558958  0.28558958  0.28558958  0.28558958
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    -#>  [787]  1.39857201  1.39857201  1.39857201  1.39857201  1.39857201  1.39857201
    -#>  [793]  1.39857201  1.39857201  1.39857201  1.39857201  1.39857201  1.39857201
    -#>  [799]  1.39857201  1.39857201  1.39857201  1.39857201  1.39857201  1.39857201
    -#>  [805]  1.39857201  1.39857201  1.39857201  1.39857201  1.39857201  1.39857201
    -#>  [811]  1.65354723  1.65354723  1.65354723  1.65354723  1.65354723  1.65354723
    -#>  [817]  1.65354723  1.65354723  1.65354723  1.65354723  1.65354723  1.65354723
    -#>  [823]  1.65354723  1.65354723  1.65354723  1.65354723  1.65354723  1.65354723
    -#>  [829]  1.65354723  1.65354723  1.65354723  1.65354723  1.65354723  1.65354723
    -#>  [835]  1.65354723  1.65354723  1.65354723  1.65354723  1.65354723  1.65354723
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    -#>  [853] -1.19693521 -1.19693521 -1.19693521 -1.19693521 -1.19693521 -1.19693521
    -#>  [859] -1.19693521 -1.19693521 -1.19693521 -1.19693521 -1.19693521 -1.19693521
    -#>  [865] -1.19693521 -1.19693521 -1.19693521 -1.19693521 -1.19693521 -1.19693521
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    -#>  [877]  0.05491197  0.05491197  0.05491197  0.05491197  0.05491197  0.05491197
    -#>  [883]  0.05491197  0.05491197  0.05491197  0.05491197  0.05491197  0.05491197
    -#>  [889]  0.05491197  0.05491197  0.05491197  0.05491197  0.05491197  0.05491197
    -#>  [895]  0.05491197  0.05491197  0.05491197  0.05491197  0.05491197  0.05491197
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    -#>  [937] -1.31345092 -1.31345092 -1.31345092 -1.31345092 -1.31345092 -1.31345092
    -#>  [943] -1.31345092 -1.31345092 -1.31345092 -1.31345092 -1.31345092 -1.31345092
    -#>  [949] -1.31345092 -1.31345092 -1.31345092 -1.31345092 -1.31345092 -1.31345092
    -#>  [955] -1.31345092 -1.31345092 -1.31345092 -1.31345092 -1.31345092 -1.31345092
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    -#>  [967]  0.33143440  0.33143440  0.33143440  0.33143440  0.33143440  0.33143440
    -#>  [973]  0.33143440  0.33143440  0.33143440  0.33143440  0.33143440  0.33143440
    -#>  [979]  0.33143440  0.33143440  0.33143440  0.33143440  0.33143440  0.33143440
    -#>  [985]  0.33143440  0.33143440  0.33143440  0.33143440  0.33143440  0.33143440
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    -#>  [997]  1.15791047  1.15791047  1.15791047  1.15791047  1.15791047  1.15791047
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    -#> [1579] -0.73050967 -0.73050967 -0.73050967 -0.73050967 -0.73050967 -0.73050967
    -#> [1585] -0.73050967 -0.73050967 -0.73050967 -0.73050967 -0.73050967 -0.73050967
    -#> [1591] -0.19070343 -0.19070343 -0.19070343 -0.19070343 -0.19070343 -0.19070343
    -#> [1597] -0.19070343 -0.19070343 -0.19070343 -0.19070343 -0.19070343 -0.19070343
    -#> [1603] -0.19070343 -0.19070343 -0.19070343 -0.19070343 -0.19070343 -0.19070343
    -#> [1609] -0.19070343 -0.19070343 -0.19070343 -0.19070343 -0.19070343 -0.19070343
    -#> [1615] -0.19070343 -0.19070343 -0.19070343 -0.19070343 -0.19070343 -0.19070343
    -#> [1621] -0.09616320 -0.09616320 -0.09616320 -0.09616320 -0.09616320 -0.09616320
    -#> [1627] -0.09616320 -0.09616320 -0.09616320 -0.09616320 -0.09616320 -0.09616320
    -#> [1633] -0.09616320 -0.09616320 -0.09616320 -0.09616320 -0.09616320 -0.09616320
    -#> [1639] -0.09616320 -0.09616320 -0.09616320 -0.09616320 -0.09616320 -0.09616320
    -#> [1645] -0.09616320 -0.09616320 -0.09616320 -0.09616320 -0.09616320 -0.09616320
    -#> [1651] -0.69341466 -0.69341466 -0.69341466 -0.69341466 -0.69341466 -0.69341466
    -#> [1657] -0.69341466 -0.69341466 -0.69341466 -0.69341466 -0.69341466 -0.69341466
    -#> [1663] -0.69341466 -0.69341466 -0.69341466 -0.69341466 -0.69341466 -0.69341466
    -#> [1669] -0.69341466 -0.69341466 -0.69341466 -0.69341466 -0.69341466 -0.69341466
    -#> [1675] -0.69341466 -0.69341466 -0.69341466 -0.69341466 -0.69341466 -0.69341466
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    -#> [1687] -0.15689195 -0.15689195 -0.15689195 -0.15689195 -0.15689195 -0.15689195
    -#> [1693] -0.15689195 -0.15689195 -0.15689195 -0.15689195 -0.15689195 -0.15689195
    -#> [1699] -0.15689195 -0.15689195 -0.15689195 -0.15689195 -0.15689195 -0.15689195
    -#> [1705] -0.15689195 -0.15689195 -0.15689195 -0.15689195 -0.15689195 -0.15689195
    -#> [1711]  0.09690423  0.09690423  0.09690423  0.09690423  0.09690423  0.09690423
    -#> [1717]  0.09690423  0.09690423  0.09690423  0.09690423  0.09690423  0.09690423
    -#> [1723]  0.09690423  0.09690423  0.09690423  0.09690423  0.09690423  0.09690423
    -#> [1729]  0.09690423  0.09690423  0.09690423  0.09690423  0.09690423  0.09690423
    -#> [1735]  0.09690423  0.09690423  0.09690423  0.09690423  0.09690423  0.09690423
    -#> [1741]  1.19707766  1.19707766  1.19707766  1.19707766  1.19707766  1.19707766
    -#> [1747]  1.19707766  1.19707766  1.19707766  1.19707766  1.19707766  1.19707766
    -#> [1753]  1.19707766  1.19707766  1.19707766  1.19707766  1.19707766  1.19707766
    -#> [1759]  1.19707766  1.19707766  1.19707766  1.19707766  1.19707766  1.19707766
    -#> [1765]  1.19707766  1.19707766  1.19707766  1.19707766  1.19707766  1.19707766
    -#> [1771] -1.00537758 -1.00537758 -1.00537758 -1.00537758 -1.00537758 -1.00537758
    -#> [1777] -1.00537758 -1.00537758 -1.00537758 -1.00537758 -1.00537758 -1.00537758
    -#> [1783] -1.00537758 -1.00537758 -1.00537758 -1.00537758 -1.00537758 -1.00537758
    -#> [1789] -1.00537758 -1.00537758 -1.00537758 -1.00537758 -1.00537758 -1.00537758
    -#> [1795] -1.00537758 -1.00537758 -1.00537758 -1.00537758 -1.00537758 -1.00537758
    -#> [1801] -1.62185826 -1.62185826 -1.62185826 -1.62185826 -1.62185826 -1.62185826
    -#> [1807] -1.62185826 -1.62185826 -1.62185826 -1.62185826 -1.62185826 -1.62185826
    -#> [1813] -1.62185826 -1.62185826 -1.62185826 -1.62185826 -1.62185826 -1.62185826
    -#> [1819] -1.62185826 -1.62185826 -1.62185826 -1.62185826 -1.62185826 -1.62185826
    -#> [1825] -1.62185826 -1.62185826 -1.62185826 -1.62185826 -1.62185826 -1.62185826
    -#> [1831]  0.95536564  0.95536564  0.95536564  0.95536564  0.95536564  0.95536564
    -#> [1837]  0.95536564  0.95536564  0.95536564  0.95536564  0.95536564  0.95536564
    -#> [1843]  0.95536564  0.95536564  0.95536564  0.95536564  0.95536564  0.95536564
    -#> [1849]  0.95536564  0.95536564  0.95536564  0.95536564  0.95536564  0.95536564
    -#> [1855]  0.95536564  0.95536564  0.95536564  0.95536564  0.95536564  0.95536564
    -#> [1861]  0.04673353  0.04673353  0.04673353  0.04673353  0.04673353  0.04673353
    -#> [1867]  0.04673353  0.04673353  0.04673353  0.04673353  0.04673353  0.04673353
    -#> [1873]  0.04673353  0.04673353  0.04673353  0.04673353  0.04673353  0.04673353
    -#> [1879]  0.04673353  0.04673353  0.04673353  0.04673353  0.04673353  0.04673353
    -#> [1885]  0.04673353  0.04673353  0.04673353  0.04673353  0.04673353  0.04673353
    -#> [1891] -1.67112706 -1.67112706 -1.67112706 -1.67112706 -1.67112706 -1.67112706
    -#> [1897] -1.67112706 -1.67112706 -1.67112706 -1.67112706 -1.67112706 -1.67112706
    -#> [1903] -1.67112706 -1.67112706 -1.67112706 -1.67112706 -1.67112706 -1.67112706
    -#> [1909] -1.67112706 -1.67112706 -1.67112706 -1.67112706 -1.67112706 -1.67112706
    -#> [1915] -1.67112706 -1.67112706 -1.67112706 -1.67112706 -1.67112706 -1.67112706
    -#> [1921] -2.11120837 -2.11120837 -2.11120837 -2.11120837 -2.11120837 -2.11120837
    -#> [1927] -2.11120837 -2.11120837 -2.11120837 -2.11120837 -2.11120837 -2.11120837
    -#> [1933] -2.11120837 -2.11120837 -2.11120837 -2.11120837 -2.11120837 -2.11120837
    -#> [1939] -2.11120837 -2.11120837 -2.11120837 -2.11120837 -2.11120837 -2.11120837
    -#> [1945] -2.11120837 -2.11120837 -2.11120837 -2.11120837 -2.11120837 -2.11120837
    -#> [1951] -1.09849001 -1.09849001 -1.09849001 -1.09849001 -1.09849001 -1.09849001
    -#> [1957] -1.09849001 -1.09849001 -1.09849001 -1.09849001 -1.09849001 -1.09849001
    -#> [1963] -1.09849001 -1.09849001 -1.09849001 -1.09849001 -1.09849001 -1.09849001
    -#> [1969] -1.09849001 -1.09849001 -1.09849001 -1.09849001 -1.09849001 -1.09849001
    -#> [1975] -1.09849001 -1.09849001 -1.09849001 -1.09849001 -1.09849001 -1.09849001
    -#> [1981]  0.14641718  0.14641718  0.14641718  0.14641718  0.14641718  0.14641718
    -#> [1987]  0.14641718  0.14641718  0.14641718  0.14641718  0.14641718  0.14641718
    -#> [1993]  0.14641718  0.14641718  0.14641718  0.14641718  0.14641718  0.14641718
    -#> [1999]  0.14641718  0.14641718  0.14641718  0.14641718  0.14641718  0.14641718
    -#> [2005]  0.14641718  0.14641718  0.14641718  0.14641718  0.14641718  0.14641718
    -#> [2011] -0.51675945 -0.51675945 -0.51675945 -0.51675945 -0.51675945 -0.51675945
    -#> [2017] -0.51675945 -0.51675945 -0.51675945 -0.51675945 -0.51675945 -0.51675945
    -#> [2023] -0.51675945 -0.51675945 -0.51675945 -0.51675945 -0.51675945 -0.51675945
    -#> [2029] -0.51675945 -0.51675945 -0.51675945 -0.51675945 -0.51675945 -0.51675945
    -#> [2035] -0.51675945 -0.51675945 -0.51675945 -0.51675945 -0.51675945 -0.51675945
    -#> [2041]  0.78713361  0.78713361  0.78713361  0.78713361  0.78713361  0.78713361
    -#> [2047]  0.78713361  0.78713361  0.78713361  0.78713361  0.78713361  0.78713361
    -#> [2053]  0.78713361  0.78713361  0.78713361  0.78713361  0.78713361  0.78713361
    -#> [2059]  0.78713361  0.78713361  0.78713361  0.78713361  0.78713361  0.78713361
    -#> [2065]  0.78713361  0.78713361  0.78713361  0.78713361  0.78713361  0.78713361
    -#> [2071] -0.08997520 -0.08997520 -0.08997520 -0.08997520 -0.08997520 -0.08997520
    -#> [2077] -0.08997520 -0.08997520 -0.08997520 -0.08997520 -0.08997520 -0.08997520
    -#> [2083] -0.08997520 -0.08997520 -0.08997520 -0.08997520 -0.08997520 -0.08997520
    -#> [2089] -0.08997520 -0.08997520 -0.08997520 -0.08997520 -0.08997520 -0.08997520
    -#> [2095] -0.08997520 -0.08997520 -0.08997520 -0.08997520 -0.08997520 -0.08997520
    -#> [2101] -0.24919068 -0.24919068 -0.24919068 -0.24919068 -0.24919068 -0.24919068
    -#> [2107] -0.24919068 -0.24919068 -0.24919068 -0.24919068 -0.24919068 -0.24919068
    -#> [2113] -0.24919068 -0.24919068 -0.24919068 -0.24919068 -0.24919068 -0.24919068
    -#> [2119] -0.24919068 -0.24919068 -0.24919068 -0.24919068 -0.24919068 -0.24919068
    -#> [2125] -0.24919068 -0.24919068 -0.24919068 -0.24919068 -0.24919068 -0.24919068
    -#> [2131] -0.13217513 -0.13217513 -0.13217513 -0.13217513 -0.13217513 -0.13217513
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    -#> [2143] -0.13217513 -0.13217513 -0.13217513 -0.13217513 -0.13217513 -0.13217513
    -#> [2149] -0.13217513 -0.13217513 -0.13217513 -0.13217513 -0.13217513 -0.13217513
    -#> [2155] -0.13217513 -0.13217513 -0.13217513 -0.13217513 -0.13217513 -0.13217513
    -#> [2161]  2.41620737  2.41620737  2.41620737  2.41620737  2.41620737  2.41620737
    -#> [2167]  2.41620737  2.41620737  2.41620737  2.41620737  2.41620737  2.41620737
    -#> [2173]  2.41620737  2.41620737  2.41620737  2.41620737  2.41620737  2.41620737
    -#> [2179]  2.41620737  2.41620737  2.41620737  2.41620737  2.41620737  2.41620737
    -#> [2185]  2.41620737  2.41620737  2.41620737  2.41620737  2.41620737  2.41620737
    -#> [2191]  2.83222602  2.83222602  2.83222602  2.83222602  2.83222602  2.83222602
    -#> [2197]  2.83222602  2.83222602  2.83222602  2.83222602  2.83222602  2.83222602
    -#> [2203]  2.83222602  2.83222602  2.83222602  2.83222602  2.83222602  2.83222602
    -#> [2209]  2.83222602  2.83222602  2.83222602  2.83222602  2.83222602  2.83222602
    -#> [2215]  2.83222602  2.83222602  2.83222602  2.83222602  2.83222602  2.83222602
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    -#> [2245]  0.18705115  0.18705115  0.18705115  0.18705115  0.18705115  0.18705115
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    -#> [2323]  1.41527635  1.41527635  1.41527635  1.41527635  1.41527635  1.41527635
    -#> [2329]  1.41527635  1.41527635  1.41527635  1.41527635  1.41527635  1.41527635
    -#> [2335]  1.41527635  1.41527635  1.41527635  1.41527635  1.41527635  1.41527635
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    -#> [2365]  0.30013157  0.30013157  0.30013157  0.30013157  0.30013157  0.30013157
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    -#> [2497]  0.58470526  0.58470526  0.58470526  0.58470526  0.58470526  0.58470526
    -#> [2503]  0.58470526  0.58470526  0.58470526  0.58470526  0.58470526  0.58470526
    -#> [2509]  0.58470526  0.58470526  0.58470526  0.58470526  0.58470526  0.58470526
    -#> [2515]  0.58470526  0.58470526  0.58470526  0.58470526  0.58470526  0.58470526
    -#> [2521]  0.55773098  0.55773098  0.55773098  0.55773098  0.55773098  0.55773098
    -#> [2527]  0.55773098  0.55773098  0.55773098  0.55773098  0.55773098  0.55773098
    -#> [2533]  0.55773098  0.55773098  0.55773098  0.55773098  0.55773098  0.55773098
    -#> [2539]  0.55773098  0.55773098  0.55773098  0.55773098  0.55773098  0.55773098
    -#> [2545]  0.55773098  0.55773098  0.55773098  0.55773098  0.55773098  0.55773098
    -#> [2551]  1.03654801  1.03654801  1.03654801  1.03654801  1.03654801  1.03654801
    -#> [2557]  1.03654801  1.03654801  1.03654801  1.03654801  1.03654801  1.03654801
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    -#> [5569] -0.97592669 -0.97592669 -0.97592669 -0.97592669 -0.97592669 -0.97592669
    -#> [5575] -0.97592669 -0.97592669 -0.97592669 -0.97592669 -0.97592669 -0.97592669
    -#> [5581]  1.77910267  1.77910267  1.77910267  1.77910267  1.77910267  1.77910267
    -#> [5587]  1.77910267  1.77910267  1.77910267  1.77910267  1.77910267  1.77910267
    -#> [5593]  1.77910267  1.77910267  1.77910267  1.77910267  1.77910267  1.77910267
    -#> [5599]  1.77910267  1.77910267  1.77910267  1.77910267  1.77910267  1.77910267
    -#> [5605]  1.77910267  1.77910267  1.77910267  1.77910267  1.77910267  1.77910267
    -#> [5611] -0.58240167 -0.58240167 -0.58240167 -0.58240167 -0.58240167 -0.58240167
    -#> [5617] -0.58240167 -0.58240167 -0.58240167 -0.58240167 -0.58240167 -0.58240167
    -#> [5623] -0.58240167 -0.58240167 -0.58240167 -0.58240167 -0.58240167 -0.58240167
    -#> [5629] -0.58240167 -0.58240167 -0.58240167 -0.58240167 -0.58240167 -0.58240167
    -#> [5635] -0.58240167 -0.58240167 -0.58240167 -0.58240167 -0.58240167 -0.58240167
    -#> [5641] -0.33433805 -0.33433805 -0.33433805 -0.33433805 -0.33433805 -0.33433805
    -#> [5647] -0.33433805 -0.33433805 -0.33433805 -0.33433805 -0.33433805 -0.33433805
    -#> [5653] -0.33433805 -0.33433805 -0.33433805 -0.33433805 -0.33433805 -0.33433805
    -#> [5659] -0.33433805 -0.33433805 -0.33433805 -0.33433805 -0.33433805 -0.33433805
    -#> [5665] -0.33433805 -0.33433805 -0.33433805 -0.33433805 -0.33433805 -0.33433805
    -#> [5671] -1.02362359 -1.02362359 -1.02362359 -1.02362359 -1.02362359 -1.02362359
    -#> [5677] -1.02362359 -1.02362359 -1.02362359 -1.02362359 -1.02362359 -1.02362359
    -#> [5683] -1.02362359 -1.02362359 -1.02362359 -1.02362359 -1.02362359 -1.02362359
    -#> [5689] -1.02362359 -1.02362359 -1.02362359 -1.02362359 -1.02362359 -1.02362359
    -#> [5695] -1.02362359 -1.02362359 -1.02362359 -1.02362359 -1.02362359 -1.02362359
    -#> [5701] -1.74837228 -1.74837228 -1.74837228 -1.74837228 -1.74837228 -1.74837228
    -#> [5707] -1.74837228 -1.74837228 -1.74837228 -1.74837228 -1.74837228 -1.74837228
    -#> [5713] -1.74837228 -1.74837228 -1.74837228 -1.74837228 -1.74837228 -1.74837228
    -#> [5719] -1.74837228 -1.74837228 -1.74837228 -1.74837228 -1.74837228 -1.74837228
    -#> [5725] -1.74837228 -1.74837228 -1.74837228 -1.74837228 -1.74837228 -1.74837228
    -#> [5731]  1.01724925  1.01724925  1.01724925  1.01724925  1.01724925  1.01724925
    -#> [5737]  1.01724925  1.01724925  1.01724925  1.01724925  1.01724925  1.01724925
    -#> [5743]  1.01724925  1.01724925  1.01724925  1.01724925  1.01724925  1.01724925
    -#> [5749]  1.01724925  1.01724925  1.01724925  1.01724925  1.01724925  1.01724925
    -#> [5755]  1.01724925  1.01724925  1.01724925  1.01724925  1.01724925  1.01724925
    -#> [5761]  1.04062315  1.04062315  1.04062315  1.04062315  1.04062315  1.04062315
    -#> [5767]  1.04062315  1.04062315  1.04062315  1.04062315  1.04062315  1.04062315
    -#> [5773]  1.04062315  1.04062315  1.04062315  1.04062315  1.04062315  1.04062315
    -#> [5779]  1.04062315  1.04062315  1.04062315  1.04062315  1.04062315  1.04062315
    -#> [5785]  1.04062315  1.04062315  1.04062315  1.04062315  1.04062315  1.04062315
    -#> [5791]  0.80062236  0.80062236  0.80062236  0.80062236  0.80062236  0.80062236
    -#> [5797]  0.80062236  0.80062236  0.80062236  0.80062236  0.80062236  0.80062236
    -#> [5803]  0.80062236  0.80062236  0.80062236  0.80062236  0.80062236  0.80062236
    -#> [5809]  0.80062236  0.80062236  0.80062236  0.80062236  0.80062236  0.80062236
    -#> [5815]  0.80062236  0.80062236  0.80062236  0.80062236  0.80062236  0.80062236
    -#> [5821] -0.27396237 -0.27396237 -0.27396237 -0.27396237 -0.27396237 -0.27396237
    -#> [5827] -0.27396237 -0.27396237 -0.27396237 -0.27396237 -0.27396237 -0.27396237
    -#> [5833] -0.27396237 -0.27396237 -0.27396237 -0.27396237 -0.27396237 -0.27396237
    -#> [5839] -0.27396237 -0.27396237 -0.27396237 -0.27396237 -0.27396237 -0.27396237
    -#> [5845] -0.27396237 -0.27396237 -0.27396237 -0.27396237 -0.27396237 -0.27396237
    -#> [5851]  0.16122635  0.16122635  0.16122635  0.16122635  0.16122635  0.16122635
    -#> [5857]  0.16122635  0.16122635  0.16122635  0.16122635  0.16122635  0.16122635
    -#> [5863]  0.16122635  0.16122635  0.16122635  0.16122635  0.16122635  0.16122635
    -#> [5869]  0.16122635  0.16122635  0.16122635  0.16122635  0.16122635  0.16122635
    -#> [5875]  0.16122635  0.16122635  0.16122635  0.16122635  0.16122635  0.16122635
    -#> [5881] -0.91597924 -0.91597924 -0.91597924 -0.91597924 -0.91597924 -0.91597924
    -#> [5887] -0.91597924 -0.91597924 -0.91597924 -0.91597924 -0.91597924 -0.91597924
    -#> [5893] -0.91597924 -0.91597924 -0.91597924 -0.91597924 -0.91597924 -0.91597924
    -#> [5899] -0.91597924 -0.91597924 -0.91597924 -0.91597924 -0.91597924 -0.91597924
    -#> [5905] -0.91597924 -0.91597924 -0.91597924 -0.91597924 -0.91597924 -0.91597924
    -#> [5911] -0.45364637 -0.45364637 -0.45364637 -0.45364637 -0.45364637 -0.45364637
    -#> [5917] -0.45364637 -0.45364637 -0.45364637 -0.45364637 -0.45364637 -0.45364637
    -#> [5923] -0.45364637 -0.45364637 -0.45364637 -0.45364637 -0.45364637 -0.45364637
    -#> [5929] -0.45364637 -0.45364637 -0.45364637 -0.45364637 -0.45364637 -0.45364637
    -#> [5935] -0.45364637 -0.45364637 -0.45364637 -0.45364637 -0.45364637 -0.45364637
    -#> [5941] -1.43684344 -1.43684344 -1.43684344 -1.43684344 -1.43684344 -1.43684344
    -#> [5947] -1.43684344 -1.43684344 -1.43684344 -1.43684344 -1.43684344 -1.43684344
    -#> [5953] -1.43684344 -1.43684344 -1.43684344 -1.43684344 -1.43684344 -1.43684344
    -#> [5959] -1.43684344 -1.43684344 -1.43684344 -1.43684344 -1.43684344 -1.43684344
    -#> [5965] -1.43684344 -1.43684344 -1.43684344 -1.43684344 -1.43684344 -1.43684344
    -#> [5971] -1.56842462 -1.56842462 -1.56842462 -1.56842462 -1.56842462 -1.56842462
    -#> [5977] -1.56842462 -1.56842462 -1.56842462 -1.56842462 -1.56842462 -1.56842462
    -#> [5983] -1.56842462 -1.56842462 -1.56842462 -1.56842462 -1.56842462 -1.56842462
    -#> [5989] -1.56842462 -1.56842462 -1.56842462 -1.56842462 -1.56842462 -1.56842462
    -#> [5995] -1.56842462 -1.56842462 -1.56842462 -1.56842462 -1.56842462 -1.56842462
    -#> 
    -#> 
    -
    -
    -
    - -
    - - -
    - -
    -

    Site built with pkgdown 2.0.7.

    -
    - -
    - - - - - - - - diff --git a/docs/reference/stack_matrix.html b/docs/reference/stack_matrix.html deleted file mode 100644 index 906b85d..0000000 --- a/docs/reference/stack_matrix.html +++ /dev/null @@ -1,115 +0,0 @@ - -rbind a matrix or dataframe to itself n times — stack_matrix • flocker - - -
    -
    - - - -
    -
    - - -
    -

    rbind a matrix or dataframe to itself n times

    -
    - -
    -
    stack_matrix(m, n)
    -
    - -
    -

    Arguments

    -
    m
    -

    a matrix or dataframe

    - - -
    n
    -

    number of times to rbind

    - -
    -
    -

    Value

    - - -

    matrix or dataframe

    -
    - -
    - -
    - - -
    - -
    -

    Site built with pkgdown 2.0.7.

    -
    - -
    - - - - - - - - diff --git a/docs/reference/summarise_fun.html b/docs/reference/summarise_fun.html deleted file mode 100644 index bea4b06..0000000 --- a/docs/reference/summarise_fun.html +++ /dev/null @@ -1,115 +0,0 @@ - -summarize matrix of linear predictors to its mean and CI — summarise_fun • flocker - - -
    -
    - - - -
    -
    - - -
    -

    summarize matrix of linear predictors to its mean and CI

    -
    - -
    -
    summarise_fun(x, CI)
    -
    - -
    -

    Arguments

    -
    x
    -

    linpreds

    - - -
    CI
    -

    fractional bounds of credible interval between 0 and 1 inclusive

    - -
    -
    -

    Value

    - - -

    summary

    -
    - -
    - -
    - - -
    - -
    -

    Site built with pkgdown 2.0.7.

    -
    - -
    - - - - - - - - diff --git a/docs/reference/threading_types.html b/docs/reference/threading_types.html deleted file mode 100644 index bca0283..0000000 --- a/docs/reference/threading_types.html +++ /dev/null @@ -1,105 +0,0 @@ - -flocker_data_output_types valid for use with threading — threading_types • flocker - - -
    -
    - - - -
    -
    - - -
    -

    flocker_data_output_types valid for use with threading

    -
    - -
    -
    threading_types()
    -
    - -
    -

    Value

    - - -

    character vector of data output types

    -
    - -
    - -
    - - -
    - -
    -

    Site built with pkgdown 2.0.7.

    -
    - -
    - - - - - - - - diff --git a/docs/reference/type_flocker_fit.html b/docs/reference/type_flocker_fit.html deleted file mode 100644 index d183cd8..0000000 --- a/docs/reference/type_flocker_fit.html +++ /dev/null @@ -1,111 +0,0 @@ - -Extract lik_type from object of class flocker_fit — type_flocker_fit • flocker - - -
    -
    - - - -
    -
    - - -
    -

    Extract lik_type from object of class flocker_fit

    -
    - -
    -
    type_flocker_fit(x)
    -
    - -
    -

    Arguments

    -
    x
    -

    flocker_fit object

    - -
    -
    -

    Value

    - - -

    string giving model type

    -
    - -
    - -
    - - -
    - -
    -

    Site built with pkgdown 2.0.7.

    -
    - -
    - - - - - - - - diff --git a/docs/reference/validate_flock_params.html b/docs/reference/validate_flock_params.html deleted file mode 100644 index 417d7e8..0000000 --- a/docs/reference/validate_flock_params.html +++ /dev/null @@ -1,158 +0,0 @@ - -Check validity of params passed to `flock` — validate_flock_params • flocker - - -
    -
    - - - -
    -
    - - -
    -

    Check validity of params passed to `flock`

    -
    - -
    -
    validate_flock_params(
    -  f_occ,
    -  f_det,
    -  flocker_data,
    -  multiseason,
    -  f_col,
    -  f_ex,
    -  multi_init,
    -  f_auto,
    -  augmented,
    -  threads
    -)
    -
    - -
    -

    Arguments

    -
    f_occ
    -

    occupancy formula

    - - -
    f_det
    -

    detection formula

    - - -
    flocker_data
    -

    flocker_data object

    - - -
    multiseason
    -

    multiseason flag

    - - -
    f_col
    -

    colonization formula

    - - -
    f_ex
    -

    extinction formula

    - - -
    multi_init
    -

    multi_init flag

    - - -
    f_auto
    -

    autologistic formula

    - - -
    augmented
    -

    augmented flag

    - - -
    threads
    -

    threads number

    - -
    -
    -

    Value

    - - -

    silent if parameters are valid

    -
    - -
    - -
    - - -
    - -
    -

    Site built with pkgdown 2.0.7.

    -
    - -
    - - - - - - - - diff --git a/docs/reference/validate_param_combos_augmented.html b/docs/reference/validate_param_combos_augmented.html deleted file mode 100644 index 8eacc26..0000000 --- a/docs/reference/validate_param_combos_augmented.html +++ /dev/null @@ -1,158 +0,0 @@ - -Check validity of params passed to `flock` if `type` is `augmented` — validate_param_combos_augmented • flocker - - -
    -
    - - - -
    -
    - - -
    -

    Check validity of params passed to `flock` if `type` is `augmented`

    -
    - -
    -
    validate_param_combos_augmented(
    -  f_occ,
    -  f_det,
    -  flocker_data,
    -  multiseason,
    -  f_col,
    -  f_ex,
    -  multi_init,
    -  f_auto,
    -  augmented,
    -  threads
    -)
    -
    - -
    -

    Arguments

    -
    f_occ
    -

    occupancy formula

    - - -
    f_det
    -

    detection formula

    - - -
    flocker_data
    -

    flocker_data object

    - - -
    multiseason
    -

    multiseason flag

    - - -
    f_col
    -

    colonization formula

    - - -
    f_ex
    -

    extinction formula

    - - -
    multi_init
    -

    multi_init flag

    - - -
    f_auto
    -

    autologistic formula

    - - -
    augmented
    -

    augmented flag

    - - -
    threads
    -

    threads number

    - -
    -
    -

    Value

    - - -

    silent if parameters are valid

    -
    - -
    - -
    - - -
    - -
    -

    Site built with pkgdown 2.0.7.

    -
    - -
    - - - - - - - - diff --git a/docs/reference/validate_param_combos_multi.html b/docs/reference/validate_param_combos_multi.html deleted file mode 100644 index f50ad1d..0000000 --- a/docs/reference/validate_param_combos_multi.html +++ /dev/null @@ -1,158 +0,0 @@ - -Check validity of params passed to `flock` if `type` is `multi` — validate_param_combos_multi • flocker - - -
    -
    - - - -
    -
    - - -
    -

    Check validity of params passed to `flock` if `type` is `multi`

    -
    - -
    -
    validate_param_combos_multi(
    -  f_occ,
    -  f_det,
    -  flocker_data,
    -  multiseason,
    -  f_col,
    -  f_ex,
    -  multi_init,
    -  f_auto,
    -  augmented,
    -  threads
    -)
    -
    - -
    -

    Arguments

    -
    f_occ
    -

    occupancy formula

    - - -
    f_det
    -

    detection formula

    - - -
    flocker_data
    -

    flocker_data object

    - - -
    multiseason
    -

    multiseason flag

    - - -
    f_col
    -

    colonization formula

    - - -
    f_ex
    -

    extinction formula

    - - -
    multi_init
    -

    multi_init flag

    - - -
    f_auto
    -

    autologistic formula

    - - -
    augmented
    -

    augmented flag

    - - -
    threads
    -

    threads number

    - -
    -
    -

    Value

    - - -

    silent if parameters are valid

    -
    - -
    - -
    - - -
    - -
    -

    Site built with pkgdown 2.0.7.

    -
    - -
    - - - - - - - - diff --git a/docs/reference/validate_param_combos_single.html b/docs/reference/validate_param_combos_single.html deleted file mode 100644 index 06611a0..0000000 --- a/docs/reference/validate_param_combos_single.html +++ /dev/null @@ -1,153 +0,0 @@ - -Check validity of params passed to `flock` if `type` is `single` — validate_param_combos_single • flocker - - -
    -
    - - - -
    -
    - - -
    -

    Check validity of params passed to `flock` if `type` is `single`

    -
    - -
    -
    validate_param_combos_single(
    -  f_occ,
    -  f_det,
    -  flocker_data,
    -  multiseason,
    -  f_col,
    -  f_ex,
    -  multi_init,
    -  f_auto,
    -  augmented
    -)
    -
    - -
    -

    Arguments

    -
    f_occ
    -

    occupancy formula

    - - -
    f_det
    -

    detection formula

    - - -
    flocker_data
    -

    flocker_data object

    - - -
    multiseason
    -

    multiseason flag

    - - -
    f_col
    -

    colonization formula

    - - -
    f_ex
    -

    extinction formula

    - - -
    multi_init
    -

    multi_init flag

    - - -
    f_auto
    -

    autologistic formula

    - - -
    augmented
    -

    augmented flag

    - -
    -
    -

    Value

    - - -

    silent if parameters are valid

    -
    - -
    - -
    - - -
    - -
    -

    Site built with pkgdown 2.0.7.

    -
    - -
    - - - - - - - - diff --git a/docs/reference/validate_param_combos_single_C.html b/docs/reference/validate_param_combos_single_C.html deleted file mode 100644 index 1610cd1..0000000 --- a/docs/reference/validate_param_combos_single_C.html +++ /dev/null @@ -1,153 +0,0 @@ - -Check validity of params passed to `flock` if `type` is `single_C` — validate_param_combos_single_C • flocker - - -
    -
    - - - -
    -
    - - -
    -

    Check validity of params passed to `flock` if `type` is `single_C`

    -
    - -
    -
    validate_param_combos_single_C(
    -  f_occ,
    -  f_det,
    -  flocker_data,
    -  multiseason,
    -  f_col,
    -  f_ex,
    -  multi_init,
    -  f_auto,
    -  augmented
    -)
    -
    - -
    -

    Arguments

    -
    f_occ
    -

    occupancy formula

    - - -
    f_det
    -

    detection formula

    - - -
    flocker_data
    -

    flocker_data object

    - - -
    multiseason
    -

    multiseason flag

    - - -
    f_col
    -

    colonization formula

    - - -
    f_ex
    -

    extinction formula

    - - -
    multi_init
    -

    multi_init flag

    - - -
    f_auto
    -

    autologistic formula

    - - -
    augmented
    -

    augmented flag

    - -
    -
    -

    Value

    - - -

    silent if parameters are valid

    -
    - -
    - -
    - - -
    - -
    -

    Site built with pkgdown 2.0.7.

    -
    - -
    - - - - - - - - diff --git a/docs/reference/validate_param_combos_single_generic.html b/docs/reference/validate_param_combos_single_generic.html deleted file mode 100644 index cf02027..0000000 --- a/docs/reference/validate_param_combos_single_generic.html +++ /dev/null @@ -1,153 +0,0 @@ - -Check validity of some params passed to flock if `type` is `single` or `single_C` — validate_param_combos_single_generic • flocker - - -
    -
    - - - -
    -
    - - -
    -

    Check validity of some params passed to flock if `type` is `single` or `single_C`

    -
    - -
    -
    validate_param_combos_single_generic(
    -  f_occ,
    -  f_det,
    -  flocker_data,
    -  multiseason,
    -  f_col,
    -  f_ex,
    -  multi_init,
    -  f_auto,
    -  augmented
    -)
    -
    - -
    -

    Arguments

    -
    f_occ
    -

    occupancy formula

    - - -
    f_det
    -

    detection formula

    - - -
    flocker_data
    -

    flocker_data object

    - - -
    multiseason
    -

    multiseason flag

    - - -
    f_col
    -

    colonization formula

    - - -
    f_ex
    -

    extinction formula

    - - -
    multi_init
    -

    multi_init flag

    - - -
    f_auto
    -

    autologistic formula

    - - -
    augmented
    -

    augmented flag

    - -
    -
    -

    Value

    - - -

    silent if parameters are valid

    -
    - -
    - -
    - - -
    - -
    -

    Site built with pkgdown 2.0.7.

    -
    - -
    - - - - - - - - diff --git a/docs/reference/validate_params_individually.html b/docs/reference/validate_params_individually.html deleted file mode 100644 index 47772a5..0000000 --- a/docs/reference/validate_params_individually.html +++ /dev/null @@ -1,158 +0,0 @@ - -Check individual validity of params passed to `flock` — validate_params_individually • flocker - - -
    -
    - - - -
    -
    - - -
    -

    Check individual validity of params passed to `flock`

    -
    - -
    -
    validate_params_individually(
    -  f_occ,
    -  f_det,
    -  flocker_data,
    -  multiseason,
    -  f_col,
    -  f_ex,
    -  multi_init,
    -  f_auto,
    -  augmented,
    -  threads
    -)
    -
    - -
    -

    Arguments

    -
    f_occ
    -

    occupancy formula

    - - -
    f_det
    -

    detection formula

    - - -
    flocker_data
    -

    flocker_data object

    - - -
    multiseason
    -

    multiseason flag

    - - -
    f_col
    -

    colonization formula

    - - -
    f_ex
    -

    extinction formula

    - - -
    multi_init
    -

    multi_init flag

    - - -
    f_auto
    -

    autologistic formula

    - - -
    augmented
    -

    augmented flag

    - - -
    threads
    -

    threads number

    - -
    -
    -

    Value

    - - -

    silent if parameters are valid

    -
    - -
    - -
    - - -
    - -
    -

    Site built with pkgdown 2.0.7.

    -
    - -
    - - - - - - - - diff --git a/docs/reference/validate_unit_formula_variables.html b/docs/reference/validate_unit_formula_variables.html deleted file mode 100644 index 0e8030f..0000000 --- a/docs/reference/validate_unit_formula_variables.html +++ /dev/null @@ -1,127 +0,0 @@ - -Check that no event covariates are used in unit formulas — validate_unit_formula_variables • flocker - - -
    -
    - - - -
    -
    - - -
    -

    Check that no event covariates are used in unit formulas

    -
    - -
    -
    validate_unit_formula_variables(f_occ, f_col, f_ex, f_auto, flocker_data)
    -
    - -
    -

    Arguments

    -
    f_occ
    -

    occupancy formula

    - - -
    f_col
    -

    colonization formula

    - - -
    f_ex
    -

    extinction formula

    - - -
    f_auto
    -

    autologistic formula

    - - -
    flocker_data
    -

    flocker_data object

    - -
    -
    -

    Value

    - - -

    silent if parameters are valid

    -
    - -
    - -
    - - -
    - -
    -

    Site built with pkgdown 2.0.7.

    -
    - -
    - - - - - - - - diff --git a/docs/sitemap.xml b/docs/sitemap.xml deleted file mode 100644 index 5bbab2f..0000000 --- a/docs/sitemap.xml +++ /dev/null @@ -1,351 +0,0 @@ - - - - /404.html - - - /LICENSE-text.html - - - /LICENSE.html - - - /articles/augmented_models.html - - - /articles/flocker_tutorial.html - - - /articles/index.html - - - /articles/multiseason_models.html - - - /articles/nonlinear_models.html - - - /authors.html - - - /index.html - - - /reference/Z_from_emission.html - - - /reference/backward_algorithm.html - - - /reference/emission_likelihood.html - - - /reference/example_flocker_data.html - - - /reference/example_flocker_model_aug.html - - - /reference/example_flocker_model_multi_auto_eq.html - - - /reference/example_flocker_model_multi_auto_ex.html - - - /reference/example_flocker_model_multi_colex_eq.html - - - /reference/example_flocker_model_multi_colex_ex.html - - - /reference/example_flocker_model_single.html - - - /reference/example_flocker_model_single_C.html - - - /reference/expand_array_3D.html - - - /reference/expand_matrix.html - - - /reference/extended_binomial_rng.html - - - /reference/fdtl.html - - - /reference/fitted_flocker.html - - - /reference/flock.html - - - /reference/flock_.html - - - /reference/flocker_col_names.html - - - /reference/flocker_data_input_types.html - - - /reference/flocker_data_output_types.html - - - /reference/flocker_fit_code_util.html - - - /reference/flocker_model_types.html - - - /reference/flocker_reserved.html - - - /reference/flocker_stancode.html - - - /reference/flocker_standata.html - - - /reference/formula_error.html - - - /reference/forward_algorithm.html - - - /reference/forward_backward_algorithm.html - - - /reference/forward_backward_sampling.html - - - /reference/forward_sim.html - - - /reference/get_Z.html - - - /reference/get_Z_augmented.html - - - /reference/get_Z_dynamic.html - - - /reference/get_Z_single.html - - - /reference/get_Z_single_C.html - - - /reference/get_flocker_prior.html - - - /reference/get_positions.html - - - /reference/index.html - - - /reference/is_flocker_data.html - - - /reference/is_flocker_fit.html - - - /reference/is_flocker_formula.html - - - /reference/is_formula.html - - - /reference/is_named_list.html - - - /reference/is_one_logical.html - - - /reference/is_one_pos_int.html - - - /reference/log1m_inv_logit.html - - - /reference/log_inv_logit.html - - - /reference/log_lik_dynamic.html - - - /reference/log_lik_flocker.html - - - /reference/log_lik_occupancy_single_C.html - - - /reference/loo_compare_flocker.html - - - /reference/loo_flocker.html - - - /reference/loo_flocker_onefit.html - - - /reference/make_colex_likelihoods.html - - - /reference/make_emission_1.html - - - /reference/make_emission_1_C.html - - - /reference/make_flocker_data.html - - - /reference/make_flocker_data_augmented.html - - - /reference/make_flocker_data_dynamic.html - - - /reference/make_flocker_data_static.html - - - /reference/make_forward_colex.html - - - /reference/make_occupancy_augmented_lpmf.html - - - /reference/make_occupancy_multi_autologistic_eq_lpmf.html - - - /reference/make_occupancy_multi_autologistic_lpmf.html - - - /reference/make_occupancy_multi_colex_eq_lpmf.html - - - /reference/make_occupancy_multi_colex_lpmf.html - - - /reference/make_occupancy_single_C_lpmf.html - - - /reference/make_occupancy_single_lpmf.html - - - /reference/make_occupancy_single_partial_sum.html - - - /reference/max_position_not_na.html - - - /reference/multi_init_types.html - - - /reference/multi_types.html - - - /reference/new_array.html - - - /reference/new_matrix.html - - - /reference/nslice.html - - - /reference/occupancy_augmented.html - - - /reference/occupancy_multi_autologistic.html - - - /reference/occupancy_multi_autologistic_eq.html - - - /reference/occupancy_multi_colex.html - - - /reference/occupancy_multi_colex_eq.html - - - /reference/occupancy_single.html - - - /reference/occupancy_single_C.html - - - /reference/occupancy_single_C_lpmf.html - - - /reference/occupancy_single_C_lpmf_with_coef.html - - - /reference/occupancy_single_threaded.html - - - /reference/params_by_type.html - - - /reference/predict_flocker.html - - - /reference/remove_rownames.html - - - /reference/rep_constant_types.html - - - /reference/reshape_fun.html - - - /reference/sfd.html - - - /reference/shared_elements.html - - - /reference/simulate_flocker_data.html - - - /reference/stack_matrix.html - - - /reference/summarise_fun.html - - - /reference/threading_types.html - - - /reference/type_flocker_fit.html - - - /reference/validate_flock_params.html - - - /reference/validate_param_combos_augmented.html - - - /reference/validate_param_combos_multi.html - - - /reference/validate_param_combos_single.html - - - /reference/validate_param_combos_single_C.html - - - /reference/validate_param_combos_single_generic.html - - - /reference/validate_params_individually.html - - - /reference/validate_unit_formula_variables.html - - diff --git a/inst/rmd/sbc.html b/inst/rmd/sbc.html deleted file mode 100644 index c2b5232..0000000 --- a/inst/rmd/sbc.html +++ /dev/null @@ -1,1096 +0,0 @@ - - - - - - - - - - - - - - - -SBC for flocker models - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    - - - - - - - -
    params
    -
    ## $n_sims
    -## [1] 1000
    -## 
    -## $n_sites
    -## [1] 200
    -
    library(flocker)
    -library(brms)
    -
    ## Loading required package: Rcpp
    -
    ## Loading 'brms' package (version 2.20.0). Useful instructions
    -## can be found by typing help('brms'). A more detailed introduction
    -## to the package is available through vignette('brms_overview').
    -
    ## 
    -## Attaching package: 'brms'
    -
    ## The following object is masked from 'package:stats':
    -## 
    -##     ar
    -
    library(SBC)
    -set.seed(3)
    -
    -

    Overview

    -

    This document performs simulation-based calibration for the models -available in R package flocker. Here, our goal is to -validate flocker’s data formatting, decoding, and -likelihood implementations, and not brms’s construction of -the linear predictors.

    -

    The encoding of the data for a flocker model tends to be -more complex in the presence of missing observations, and so we include -missingness in the data simulation wherever possible (some visits -missing in all models, some time-steps missing in multiseason -models).

    -

    In all models, we include one unit covariate that affects detection -and occupancy, colonization, extinction and/or autologistic terms as -applicable, and one event covariate that affects detection only (for all -models except the rep-constant).

    -
    -
    -

    Single-season

    -
    -

    Rep-constant

    -
    # make the stancode
    -model_name <- paste0(tempdir(), "/sbc_rep_constant_model.stan")
    -fd <- simulate_flocker_data(
    -  n_pt = params$n_sites, n_sp = 1,
    -  params = list(
    -    coefs = data.frame(
    -      det_intercept = rnorm(1),
    -      det_slope_unit = rnorm(1),
    -      occ_intercept = rnorm(1),
    -      occ_slope_unit = rnorm(1)
    -    )
    -  ),
    -  seed = NULL,
    -  rep_constant = TRUE,
    -  ragged_rep = TRUE
    -)
    -flocker_data = make_flocker_data(fd$obs, fd$unit_covs, quiet = TRUE)
    -  
    -scode <- flocker_stancode(
    -    f_occ = ~ 0 + Intercept + uc1,
    -    f_det = ~ 0 + Intercept + uc1,
    -    flocker_data = flocker_data,
    -    prior = 
    -      brms::set_prior("std_normal()") + 
    -      brms::set_prior("std_normal()", dpar = "occ"),
    -    backend = "cmdstanr"
    -  )
    -
    -writeLines(scode, model_name)
    -
    -rep_constant_generator <- function(N){  
    -  fd <- simulate_flocker_data(
    -    n_pt = N, n_sp = 1,
    -    params = list(
    -      coefs = data.frame(
    -        det_intercept = rnorm(1),
    -        det_slope_unit = rnorm(1),
    -        occ_intercept = rnorm(1),
    -        occ_slope_unit = rnorm(1)
    -      )
    -    ),
    -    seed = NULL,
    -    rep_constant = TRUE,
    -    ragged_rep = TRUE
    -  )
    -  
    -  flocker_data = make_flocker_data(fd$obs, fd$unit_covs, quiet = TRUE)
    -  
    -  # format for return
    -  list(
    -    variables = list(
    -      `b[1]` = fd$params$coefs$det_intercept,
    -      `b[2]` = fd$params$coefs$det_slope_unit,
    -      `b_occ[1]` = fd$params$coefs$occ_intercept,
    -      `b_occ[2]` = fd$params$coefs$occ_slope_unit
    -    ),
    -    generated = flocker_standata(
    -      f_occ = ~ 0 + Intercept + uc1,
    -      f_det = ~ 0 + Intercept + uc1,
    -      flocker_data = flocker_data
    -    )
    -  )
    -}
    -
    -rep_constant_gen <- SBC_generator_function(
    -  rep_constant_generator, 
    -  N = params$n_sites
    -  )
    -rep_constant_dataset <- suppressMessages(
    -  generate_datasets(rep_constant_gen, params$n_sims)
    -)
    -  
    -rep_constant_backend <- 
    -  SBC_backend_cmdstan_sample(
    -    cmdstanr::cmdstan_model(
    -      paste0(tempdir(), "/sbc_rep_constant_model.stan")
    -      )
    -    )
    -
    -rep_constant_results <- compute_SBC(rep_constant_dataset, rep_constant_backend)
    -
    -plot_ecdf(rep_constant_results)
    -

    -
    plot_rank_hist(rep_constant_results)
    -

    -
    plot_ecdf_diff(rep_constant_results)
    -

    -
    -
    -

    Rep-varying

    -
    # make the stancode
    -model_name <- paste0(tempdir(), "/sbc_rep_varying_model.stan")
    -fd <- simulate_flocker_data(
    -  n_pt = params$n_sites, n_sp = 1,
    -  params = list(
    -    coefs = data.frame(
    -      det_intercept = rnorm(1),
    -      det_slope_unit = rnorm(1),
    -      det_slope_visit = rnorm(1),
    -      occ_intercept = rnorm(1),
    -      occ_slope_unit = rnorm(1)
    -    )
    -  ),
    -  seed = NULL,
    -  rep_constant = FALSE,
    -  ragged_rep = TRUE
    -)
    -flocker_data = make_flocker_data(fd$obs, fd$unit_covs, fd$event_covs, quiet = TRUE)
    -  
    -scode <- flocker_stancode(
    -    f_occ = ~ 0 + Intercept + uc1,
    -    f_det = ~ 0 + Intercept + uc1 + ec1,
    -    flocker_data = flocker_data,
    -    prior = 
    -      brms::set_prior("std_normal()") + 
    -      brms::set_prior("std_normal()", dpar = "occ"),
    -    backend = "cmdstanr"
    -  )
    -writeLines(scode, model_name)
    -
    -rep_varying_generator <- function(N){  
    -  fd <- simulate_flocker_data(
    -    n_pt = N, n_sp = 1,
    -    params = list(
    -      coefs = data.frame(
    -        det_intercept = rnorm(1),
    -        det_slope_unit = rnorm(1),
    -        det_slope_visit = rnorm(1),
    -        occ_intercept = rnorm(1),
    -        occ_slope_unit = rnorm(1)
    -      )
    -    ),
    -    seed = NULL,
    -    rep_constant = FALSE,
    -    ragged_rep = TRUE
    -  )
    -  
    -  flocker_data = make_flocker_data(fd$obs, fd$unit_covs, fd$event_covs, quiet = TRUE)
    -  
    -  # format for return
    -  list(
    -    variables = list(
    -      `b[1]` = fd$params$coefs$det_intercept,
    -      `b[2]` = fd$params$coefs$det_slope_unit,
    -      `b[3]` = fd$params$coefs$det_slope_visit,
    -      `b_occ[1]` = fd$params$coefs$occ_intercept,
    -      `b_occ[2]` = fd$params$coefs$occ_slope_unit
    -    ),
    -    generated = flocker_standata(
    -      f_occ = ~ 0 + Intercept + uc1,
    -      f_det = ~ 0 + Intercept + uc1 + ec1,
    -      flocker_data = flocker_data
    -    )
    -  )
    -}
    -
    -rep_varying_gen <- SBC_generator_function(
    -  rep_varying_generator, 
    -  N = params$n_sites
    -  )
    -rep_varying_dataset <- suppressMessages(
    -  generate_datasets(rep_varying_gen, params$n_sims)
    -)
    -  
    -rep_varying_backend <- 
    -  SBC_backend_cmdstan_sample(
    -    cmdstanr::cmdstan_model(
    -      paste0(tempdir(), "/sbc_rep_varying_model.stan")
    -      )
    -    )
    -
    -rep_varying_results <- compute_SBC(rep_varying_dataset, rep_varying_backend)
    -
    -plot_ecdf(rep_varying_results)
    -

    -
    plot_rank_hist(rep_varying_results)
    -

    -
    plot_ecdf_diff(rep_varying_results)
    -

    -
    -
    -
    -

    Multi-season

    -

    flocker fits multi-season models that parameterize the -dynamics using colonization/extinction or autologistic specifications, -and that parameterize the initial occupancy state using explicit and -equilibrium parameterizations, for a total of four classes of -multi-season model. We validate each class.

    -
    -

    Colonization-extinction, explicit initial occupancy

    -
    # make the stancode
    -model_name <- paste0(tempdir(), "/sbc_colex_ex_model.stan")
    -fd <- simulate_flocker_data(
    -  n_pt = params$n_sites, n_sp = 1, n_season = 4,
    -  params = list(
    -    coefs = data.frame(
    -      det_intercept = rnorm(1),
    -      det_slope_unit = rnorm(1),
    -      det_slope_visit = rnorm(1),
    -      occ_intercept = rnorm(1),
    -      occ_slope_unit = rnorm(1),
    -      col_intercept = rnorm(1),
    -      col_slope_unit = rnorm(1),
    -      ex_intercept = rnorm(1),
    -      ex_slope_unit = rnorm(1)
    -    )
    -  ),
    -  seed = NULL,
    -  rep_constant = FALSE,
    -  multiseason = "colex",
    -  multi_init = "explicit",
    -  ragged_rep = TRUE
    -)
    -flocker_data = make_flocker_data(
    -  fd$obs, fd$unit_covs, fd$event_covs,
    -  type = "multi", quiet = TRUE)
    -  
    -scode <- flocker_stancode(
    -    f_occ = ~ 0 + Intercept + uc1,
    -    f_col = ~ 0 + Intercept + uc1,
    -    f_ex = ~ 0 + Intercept + uc1,
    -    f_det = ~ 0 + Intercept + uc1 + ec1,
    -    flocker_data = flocker_data,
    -    prior = 
    -      brms::set_prior("std_normal()") + 
    -      brms::set_prior("std_normal()", dpar = "occ") +
    -      brms::set_prior("std_normal()", dpar = "colo") +
    -      brms::set_prior("std_normal()", dpar = "ex"),
    -    multiseason = "colex",
    -    multi_init = "explicit",
    -    backend = "cmdstanr"
    -  )
    -writeLines(scode, model_name)
    -
    -colex_ex_generator <- function(N){  
    -  fd <- simulate_flocker_data(
    -    n_pt = params$n_sites, n_sp = 1, n_season = 4,
    -    params = list(
    -        det_intercept = rnorm(1),
    -        det_slope_unit = rnorm(1),
    -        det_slope_visit = rnorm(1),
    -        occ_intercept = rnorm(1),
    -        occ_slope_unit = rnorm(1),
    -        colo_intercept = rnorm(1),
    -        colo_slope_unit = rnorm(1),
    -        ex_intercept = rnorm(1),
    -        ex_slope_unit = rnorm(1)
    -    ),
    -    seed = NULL,
    -    rep_constant = FALSE,
    -    multiseason = "colex",
    -    multi_init = "explicit",
    -    ragged_rep = TRUE
    -  )
    -  
    -  flocker_data = make_flocker_data(
    -    fd$obs, fd$unit_covs, fd$event_covs,
    -    type = "multi", quiet = TRUE)
    -  
    -  # format for return
    -  list(
    -    variables = list(
    -      `b[1]` = fd$params$coefs$det_intercept,
    -      `b[2]` = fd$params$coefs$det_slope_unit,
    -      `b[3]` = fd$params$coefs$det_slope_visit,
    -      `b_occ[1]` = fd$params$coefs$occ_intercept,
    -      `b_occ[2]` = fd$params$coefs$occ_slope_unit,
    -      `b_colo[1]` = fd$params$coefs$col_intercept,
    -      `b_colo[2]` = fd$params$coefs$col_slope_unit,
    -      `b_ex[1]` = fd$params$coefs$ex_intercept,
    -      `b_ex[2]` = fd$params$coefs$ex_slope_unit
    -    ),
    -    generated = flocker_standata(
    -      f_occ = ~ 0 + Intercept + uc1,
    -      f_col = ~ 0 + Intercept + uc1,
    -      f_ex = ~ 0 + Intercept + uc1,
    -      f_det = ~ 0 + Intercept + uc1 + ec1,
    -      flocker_data = flocker_data,
    -      multiseason = "colex",
    -      multi_init = "explicit"
    -    )
    -  )
    -}
    -
    -colex_ex_gen <- SBC_generator_function(
    -  colex_ex_generator, 
    -  N = params$n_sites
    -  )
    -colex_ex_dataset <- suppressMessages(
    -  generate_datasets(colex_ex_gen, params$n_sims)
    -)
    -  
    -colex_ex_backend <- 
    -  SBC_backend_cmdstan_sample(
    -    cmdstanr::cmdstan_model(
    -      paste0(tempdir(), "/sbc_colex_ex_model.stan")
    -      )
    -    )
    -
    -colex_ex_results <- compute_SBC(colex_ex_dataset, colex_ex_backend)
    -
    -plot_ecdf(colex_ex_results)
    -

    -
    plot_rank_hist(colex_ex_results)
    -

    -
    plot_ecdf_diff(colex_ex_results)
    -

    -
    -
    -

    Colonization-extinction, equilibrium initial occupancy

    -
    # make the stancode
    -model_name <- paste0(tempdir(), "/sbc_colex_eq_model.stan")
    -fd <- simulate_flocker_data(
    -  n_pt = params$n_sites, n_sp = 1, n_season = 4,
    -  params = list(
    -      det_intercept = rnorm(1),
    -      det_slope_unit = rnorm(1),
    -      det_slope_visit = rnorm(1),
    -      colo_intercept = rnorm(1),
    -      colo_slope_unit = rnorm(1),
    -      ex_intercept = rnorm(1),
    -      ex_slope_unit = rnorm(1)
    -  ),
    -  seed = NULL,
    -  rep_constant = FALSE,
    -  multiseason = "colex",
    -  multi_init = "equilibrium",
    -  ragged_rep = TRUE
    -)
    -flocker_data = make_flocker_data(
    -  fd$obs, fd$unit_covs, fd$event_covs,
    -  type = "multi", quiet = TRUE)
    -  
    -scode <- flocker_stancode(
    -  f_col = ~ 0 + Intercept + uc1,
    -  f_ex = ~ 0 + Intercept + uc1,
    -  f_det = ~ 0 + Intercept + uc1 + ec1,
    -  flocker_data = flocker_data,
    -  prior = 
    -    brms::set_prior("std_normal()") + 
    -    brms::set_prior("std_normal()", dpar = "colo") +
    -    brms::set_prior("std_normal()", dpar = "ex"),
    -  multiseason = "colex",
    -  multi_init = "equilibrium",
    -  backend = "cmdstanr"
    -  )
    -writeLines(scode, model_name)
    -
    -colex_eq_generator <- function(N){  
    -  fd <- simulate_flocker_data(
    -    n_pt = params$n_sites, n_sp = 1, n_season = 4,
    -    params = list(
    -        det_intercept = rnorm(1),
    -        det_slope_unit = rnorm(1),
    -        det_slope_visit = rnorm(1),
    -        col_intercept = rnorm(1),
    -        col_slope_unit = rnorm(1),
    -        ex_intercept = rnorm(1),
    -        ex_slope_unit = rnorm(1)
    -    ),
    -    seed = NULL,
    -    rep_constant = FALSE,
    -    multiseason = "colex",
    -    multi_init = "equilibrium",
    -    ragged_rep = TRUE
    -  )
    -  
    -  flocker_data = make_flocker_data(
    -    fd$obs, fd$unit_covs, fd$event_covs,
    -    type = "multi", quiet = TRUE)
    -  
    -  # format for return
    -  list(
    -    variables = list(
    -      `b[1]` = fd$params$coefs$det_intercept,
    -      `b[2]` = fd$params$coefs$det_slope_unit,
    -      `b[3]` = fd$params$coefs$det_slope_visit,
    -      `b_colo[1]` = fd$params$coefs$col_intercept,
    -      `b_colo[2]` = fd$params$coefs$col_slope_unit,
    -      `b_ex[1]` = fd$params$coefs$ex_intercept,
    -      `b_ex[2]` = fd$params$coefs$ex_slope_unit
    -    ),
    -    generated = flocker_standata(
    -      f_col = ~ 0 + Intercept + uc1,
    -      f_ex = ~ 0 + Intercept + uc1,
    -      f_det = ~ 0 + Intercept + uc1 + ec1,
    -      flocker_data = flocker_data,
    -      multiseason = "colex",
    -      multi_init = "equilibrium"
    -    )
    -  )
    -}
    -
    -colex_eq_gen <- SBC_generator_function(
    -  colex_eq_generator, 
    -  N = params$n_sites
    -  )
    -colex_eq_dataset <- suppressMessages(
    -  generate_datasets(colex_eq_gen, params$n_sims)
    -)
    -  
    -colex_eq_backend <- 
    -  SBC_backend_cmdstan_sample(
    -    cmdstanr::cmdstan_model(
    -      paste0(tempdir(), "/sbc_colex_eq_model.stan")
    -      )
    -    )
    -
    -colex_eq_results <- compute_SBC(colex_eq_dataset, colex_eq_backend)
    -
    ##  - 865 (86%) fits had some steps rejected. Maximum number of rejections was 4.
    -
    ## Not all diagnostics are OK.
    -## You can learn more by inspecting $default_diagnostics, $backend_diagnostics 
    -## and/or investigating $outputs/$messages/$warnings for detailed output from the backend.
    -
    plot_ecdf(colex_eq_results)
    -

    -
    plot_rank_hist(colex_eq_results)
    -

    -
    plot_ecdf_diff(colex_eq_results)
    -

    -
    -
    -

    Autologistic, explicit initial occupancy

    -
    # make the stancode
    -model_name <- paste0(tempdir(), "/sbc_auto_ex_model.stan")
    -fd <- simulate_flocker_data(
    -  n_pt = params$n_sites, n_sp = 1, n_season = 4,
    -  params = list(
    -      det_intercept = rnorm(1),
    -      det_slope_unit = rnorm(1),
    -      det_slope_visit = rnorm(1),
    -      occ_intercept = rnorm(1),
    -      occ_slope_unit = rnorm(1),
    -      col_intercept = rnorm(1),
    -      col_slope_unit = rnorm(1),
    -      auto_intercept = rnorm(1),
    -      auto_slope_unit = rnorm(1)
    -  ),
    -  seed = NULL,
    -  rep_constant = FALSE,
    -  multiseason = "autologistic",
    -  multi_init = "explicit",
    -  ragged_rep = TRUE
    -)
    -flocker_data = make_flocker_data(
    -  fd$obs, fd$unit_covs, fd$event_covs,
    -  type = "multi", quiet = TRUE)
    -  
    -scode <- flocker_stancode(
    -    f_occ = ~ 0 + Intercept + uc1,
    -    f_col = ~ 0 + Intercept + uc1,
    -    f_auto = ~ 0 + Intercept + uc1,
    -    f_det = ~ 0 + Intercept + uc1 + ec1,
    -    flocker_data = flocker_data,
    -    prior = 
    -      brms::set_prior("std_normal()") + 
    -      brms::set_prior("std_normal()", dpar = "occ") +
    -      brms::set_prior("std_normal()", dpar = "colo") +
    -      brms::set_prior("std_normal()", dpar = "autologistic"),
    -    multiseason = "autologistic",
    -    multi_init = "explicit",
    -    backend = "cmdstanr"
    -  )
    -writeLines(scode, model_name)
    -
    -auto_ex_generator <- function(N){  
    -  fd <- simulate_flocker_data(
    -    n_pt = params$n_sites, n_sp = 1, n_season = 4,
    -    params = list(
    -        det_intercept = rnorm(1),
    -        det_slope_unit = rnorm(1),
    -        det_slope_visit = rnorm(1),
    -        occ_intercept = rnorm(1),
    -        occ_slope_unit = rnorm(1),
    -        colo_intercept = rnorm(1),
    -        colo_slope_unit = rnorm(1),
    -        auto_intercept = rnorm(1),
    -        auto_slope_unit = rnorm(1)
    -    ),
    -    seed = NULL,
    -    rep_constant = FALSE,
    -    multiseason = "autologistic",
    -    multi_init = "explicit",
    -    ragged_rep = TRUE
    -  )
    -  
    -  flocker_data = make_flocker_data(
    -    fd$obs, fd$unit_covs, fd$event_covs,
    -    type = "multi", quiet = TRUE)
    -  
    -  # format for return
    -  list(
    -    variables = list(
    -      `b[1]` = fd$params$coefs$det_intercept,
    -      `b[2]` = fd$params$coefs$det_slope_unit,
    -      `b[3]` = fd$params$coefs$det_slope_visit,
    -      `b_occ[1]` = fd$params$coefs$occ_intercept,
    -      `b_occ[2]` = fd$params$coefs$occ_slope_unit,
    -      `b_colo[1]` = fd$params$coefs$col_intercept,
    -      `b_colo[2]` = fd$params$coefs$col_slope_unit,
    -      `b_autologistic[1]` = fd$params$coefs$auto_intercept,
    -      `b_autologistic[2]` = fd$params$coefs$auto_slope_unit
    -    ),
    -    generated = flocker_standata(
    -      f_occ = ~ 0 + Intercept + uc1,
    -      f_col = ~ 0 + Intercept + uc1,
    -      f_auto = ~ 0 + Intercept + uc1,
    -      f_det = ~ 0 + Intercept + uc1 + ec1,
    -      flocker_data = flocker_data,
    -      multiseason = "autologistic",
    -      multi_init = "explicit"
    -    )
    -  )
    -}
    -
    -auto_ex_gen <- SBC_generator_function(
    -  auto_ex_generator, 
    -  N = params$n_sites
    -  )
    -auto_ex_dataset <- suppressMessages(
    -  generate_datasets(auto_ex_gen, params$n_sims)
    -)
    -  
    -auto_ex_backend <- 
    -  SBC_backend_cmdstan_sample(
    -    cmdstanr::cmdstan_model(
    -      paste0(tempdir(), "/sbc_auto_ex_model.stan")
    -      )
    -    )
    -
    -auto_ex_results <- compute_SBC(auto_ex_dataset, auto_ex_backend)
    -
    -plot_ecdf(auto_ex_results)
    -

    -
    plot_rank_hist(auto_ex_results)
    -

    -
    plot_ecdf_diff(auto_ex_results)
    -

    -
    -
    -

    Autologistic, equilibrium initial occupancy

    -
    # make the stancode
    -model_name <- paste0(tempdir(), "/sbc_auto_eq_model.stan")
    -fd <- simulate_flocker_data(
    -  n_pt = params$n_sites, n_sp = 1, n_season = 4,
    -  params = list(
    -      det_intercept = rnorm(1),
    -      det_slope_unit = rnorm(1),
    -      det_slope_visit = rnorm(1),
    -      auto_intercept = rnorm(1),
    -      auto_slope_unit = rnorm(1)
    -  ),
    -  seed = NULL,
    -  rep_constant = FALSE,
    -  multiseason = "autologistic",
    -  multi_init = "equilibrium",
    -  ragged_rep = TRUE
    -)
    -flocker_data = make_flocker_data(
    -  fd$obs, fd$unit_covs, fd$event_covs,
    -  type = "multi", quiet = TRUE)
    -  
    -scode <- flocker_stancode(
    -    f_col = ~ 0 + Intercept + uc1,
    -    f_auto = ~ 0 + Intercept + uc1,
    -    f_det = ~ 0 + Intercept + uc1 + ec1,
    -    flocker_data = flocker_data,
    -    prior = 
    -      brms::set_prior("std_normal()") + 
    -      brms::set_prior("std_normal()", dpar = "colo") +
    -      brms::set_prior("std_normal()", dpar = "autologistic"),
    -    multiseason = "autologistic",
    -    multi_init = "equilibrium",
    -    backend = "cmdstanr"
    -  )
    -writeLines(scode, model_name)
    -
    -auto_eq_generator <- function(N){  
    -  fd <- simulate_flocker_data(
    -    n_pt = params$n_sites, n_sp = 1, n_season = 4,
    -    params = list(
    -        det_intercept = rnorm(1),
    -        det_slope_unit = rnorm(1),
    -        det_slope_visit = rnorm(1),
    -        col_intercept = rnorm(1),
    -        col_slope_unit = rnorm(1),
    -        auto_intercept = rnorm(1),
    -        auto_slope_unit = rnorm(1)
    -    ),
    -    seed = NULL,
    -    rep_constant = FALSE,
    -    multiseason = "autologistic",
    -    multi_init = "equilibrium",
    -    ragged_rep = TRUE
    -  )
    -  
    -  flocker_data = make_flocker_data(
    -    fd$obs, fd$unit_covs, fd$event_covs,
    -    type = "multi", quiet = TRUE)
    -  
    -  # format for return
    -  list(
    -    variables = list(
    -      `b[1]` = fd$params$coefs$det_intercept,
    -      `b[2]` = fd$params$coefs$det_slope_unit,
    -      `b[3]` = fd$params$coefs$det_slope_visit,
    -      `b_colo[1]` = fd$params$coefs$col_intercept,
    -      `b_colo[2]` = fd$params$coefs$col_slope_unit,
    -      `b_autologistic[1]` = fd$params$coefs$auto_intercept,
    -      `b_autologistic[2]` = fd$params$coefs$auto_slope_unit
    -    ),
    -    generated = flocker_standata(
    -      f_col = ~ 0 + Intercept + uc1,
    -      f_auto = ~ 0 + Intercept + uc1,
    -      f_det = ~ 0 + Intercept + uc1 + ec1,
    -      flocker_data = flocker_data,
    -      multiseason = "autologistic",
    -      multi_init = "equilibrium"
    -    )
    -  )
    -}
    -
    -auto_eq_gen <- SBC_generator_function(
    -  auto_eq_generator, 
    -  N = params$n_sites
    -  )
    -auto_eq_dataset <- suppressMessages(
    -  generate_datasets(auto_eq_gen, params$n_sims)
    -)
    -  
    -auto_eq_backend <- 
    -  SBC_backend_cmdstan_sample(
    -    cmdstanr::cmdstan_model(
    -      paste0(tempdir(), "/sbc_auto_eq_model.stan")
    -      )
    -    )
    -
    -auto_eq_results <- compute_SBC(auto_eq_dataset, auto_eq_backend)
    -
    ##  - 319 (32%) fits had some steps rejected. Maximum number of rejections was 4.
    -
    ## Not all diagnostics are OK.
    -## You can learn more by inspecting $default_diagnostics, $backend_diagnostics 
    -## and/or investigating $outputs/$messages/$warnings for detailed output from the backend.
    -
    plot_ecdf(auto_eq_results)
    -

    -
    plot_rank_hist(auto_eq_results)
    -

    -
    plot_ecdf_diff(auto_eq_results)
    -

    -
    -
    - - - - -
    - - - - - - - - - - - - - - - diff --git a/inst/rmd/sbc_augmented.Rmd b/inst/rmd/sbc_augmented.Rmd deleted file mode 100644 index 503b18c..0000000 --- a/inst/rmd/sbc_augmented.Rmd +++ /dev/null @@ -1,177 +0,0 @@ ---- -title: "SBC for flocker models--data augmented" -author: "Jacob Socolar" -date: "`r Sys.Date()`" -output: html_document -params: - n_sims: 200 - n_sites: 50 - n_pseudospecies: 50 ---- - -```{r setup, include=FALSE} -knitr::opts_chunk$set(echo = TRUE) -``` - -```{r display_params} -params - -``` - -```{r setup2} -library(flocker) -library(brms) -library(SBC) -set.seed(2) -``` - - -## Data-augmented -```{r data-augmented, eval = TRUE} -# make the stancode -model_name <- paste0(tempdir(), "/sbc_augmented_model.stan") - -omega <- boot::inv.logit(rnorm(1, 0, .1)) -available <- rbinom(1, params$n_pseudospecies, omega) -unavailable <- params$n_pseudospecies - available -coef_means <- rnorm(5) # normal prior on random effect means -sigma <- abs(rnorm(5)) # half-normal prior on all random effect sds -Sigma <- diag(5) * sigma - -fd <- simulate_flocker_data( - n_pt = params$n_sites, n_sp = available, - params = list( - coef_means = coef_means, - Sigma = Sigma, - coefs = data.frame( - det_intercept = rnorm(available, coef_means[1], sigma[1]), - det_slope_unit = rnorm(available, coef_means[2], sigma[2]), - det_slope_visit = rnorm(available, coef_means[3], sigma[3]), - occ_intercept = rnorm(available, coef_means[4], sigma[4]), - occ_slope_unit = rnorm(available, coef_means[5], sigma[5]) - ) - ), - seed = NULL, - rep_constant = FALSE, - ragged_rep = TRUE -) - -obs_aug <- fd$obs[seq_len(params$n_sites), ] - -for(i in 2:available){ - obs_aug <- abind::abind( - obs_aug, - fd$obs[((i - 1) * params$n_sites) + seq_len(params$n_sites), ], - along = 3 - ) -} - -event_covs_aug <- list(ec1 = fd$event_covs$ec1[seq_len(params$n_sites), ]) -unit_covs_aug <- data.frame(uc1 = fd$unit_covs[seq_len(params$n_sites), "uc1"]) - -flocker_data = make_flocker_data( - obs_aug, unit_covs_aug, event_covs_aug, - type = "augmented", n_aug = unavailable, - quiet = TRUE) - -scode <- flocker_stancode( - f_occ = ~ 0 + Intercept + uc1 + (1 + uc1 || ff_species), - f_det = ~ 0 + Intercept + uc1 + ec1 + (1 + uc1 + ec1 || ff_species), - flocker_data = flocker_data, - prior = - brms::set_prior("std_normal()") + - brms::set_prior("std_normal()", class = "sd") + - brms::set_prior("std_normal()", dpar = "occ") + - brms::set_prior("std_normal()", class = "sd", dpar = "occ") + - brms::set_prior("normal(0, 0.1)", class = "Intercept", dpar = "Omega"), - backend = "cmdstanr", - augmented = TRUE - ) -writeLines(scode, model_name) - -aug_generator <- function(N){ - omega <- boot::inv.logit(rnorm(1, 0, .1)) - available <- rbinom(1, params$n_pseudospecies, omega) - unavailable <- params$n_pseudospecies - available - coef_means <- rnorm(5) # normal prior on random effect means - sigma <- abs(rnorm(5)) # half-normal prior on all random effect sds - Sigma <- diag(5) * sigma - - fd <- simulate_flocker_data( - n_pt = params$n_sites, n_sp = available, - params = list( - coef_means = coef_means, - Sigma = Sigma, - coefs = data.frame( - det_intercept = rnorm(available, coef_means[1], sigma[1]), - det_slope_unit = rnorm(available, coef_means[2], sigma[2]), - det_slope_visit = rnorm(available, coef_means[3], sigma[3]), - occ_intercept = rnorm(available, coef_means[4], sigma[4]), - occ_slope_unit = rnorm(available, coef_means[5], sigma[5]) - ) - ), - seed = NULL, - rep_constant = FALSE, - ragged_rep = TRUE - ) - - obs_aug <- fd$obs[seq_len(params$n_sites), ] - - for(i in 2:available){ - obs_aug <- abind::abind( - obs_aug, - fd$obs[((i - 1) * params$n_sites) + seq_len(params$n_sites), ], - along = 3 - ) - } - - event_covs_aug <- list(ec1 = fd$event_covs$ec1[seq_len(params$n_sites), ]) - unit_covs_aug <- data.frame(uc1 = fd$unit_covs[seq_len(params$n_sites), "uc1"]) - - flocker_data = make_flocker_data( - obs_aug, unit_covs_aug, event_covs_aug, - type = "augmented", n_aug = unavailable, - quiet = TRUE) - # format for return - list( - variables = list( - `b[1]` = fd$params$coef_means[1], - `b[2]` = fd$params$coef_means[2], - `b[3]` = fd$params$coef_means[3], - `b_occ[1]` = fd$params$coef_means[4], - `b_occ[2]` = fd$params$coef_means[5], - `Intercept_Omega` = boot::logit(omega) - ), - generated = flocker_standata( - f_occ = ~ 0 + Intercept + uc1 + (1 + uc1 || ff_species), - f_det = ~ 0 + Intercept + uc1 + ec1 + (1 + uc1 + ec1 || ff_species), - flocker_data = flocker_data, - augmented = TRUE - ) - ) -} - -aug_gen <- SBC_generator_function( - aug_generator, - N = params$n_sites - ) -aug_dataset <- suppressMessages( - generate_datasets(aug_gen, params$n_sims) -) - -aug_backend <- - SBC_backend_cmdstan_sample( - cmdstanr::cmdstan_model( - paste0(tempdir(), "/sbc_augmented_model.stan") - ) - ) - -aug_results <- compute_SBC(aug_dataset, aug_backend) - -plot_ecdf(aug_results) -plot_rank_hist(aug_results) -plot_ecdf_diff(aug_results) - -``` - - diff --git a/inst/rmd/sbc_augmented.html b/inst/rmd/sbc_augmented.html deleted file mode 100644 index 2fa6d2e..0000000 --- a/inst/rmd/sbc_augmented.html +++ /dev/null @@ -1,583 +0,0 @@ - - - - - - - - - - - - - - - -SBC for flocker models–data augmented - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    - - - - - - - -
    params
    -
    ## $n_sims
    -## [1] 200
    -## 
    -## $n_sites
    -## [1] 50
    -## 
    -## $n_pseudospecies
    -## [1] 50
    -
    library(flocker)
    -library(brms)
    -
    ## Loading required package: Rcpp
    -
    ## Loading 'brms' package (version 2.20.0). Useful instructions
    -## can be found by typing help('brms'). A more detailed introduction
    -## to the package is available through vignette('brms_overview').
    -
    ## 
    -## Attaching package: 'brms'
    -
    ## The following object is masked from 'package:stats':
    -## 
    -##     ar
    -
    library(SBC)
    -set.seed(2)
    -
    -

    Data-augmented

    -
    # make the stancode
    -model_name <- paste0(tempdir(), "/sbc_augmented_model.stan")
    -
    -omega <- boot::inv.logit(rnorm(1, 0, .1))
    -available <- rbinom(1, params$n_pseudospecies, omega)
    -unavailable <- params$n_pseudospecies - available
    -coef_means <- rnorm(5) # normal prior on random effect means
    -sigma <- abs(rnorm(5)) # half-normal prior on all random effect sds
    -Sigma <- diag(5) * sigma
    -
    -fd <- simulate_flocker_data(
    -  n_pt = params$n_sites, n_sp = available,
    -  params = list(
    -    coef_means = coef_means,
    -    Sigma = Sigma,
    -    coefs = data.frame(
    -      det_intercept = rnorm(available, coef_means[1], sigma[1]),
    -      det_slope_unit = rnorm(available, coef_means[2], sigma[2]),
    -      det_slope_visit = rnorm(available, coef_means[3], sigma[3]),
    -      occ_intercept = rnorm(available, coef_means[4], sigma[4]),
    -      occ_slope_unit = rnorm(available, coef_means[5], sigma[5])
    -    )
    -  ),
    -  seed = NULL,
    -  rep_constant = FALSE,
    -  ragged_rep = TRUE
    -)
    -
    -obs_aug <- fd$obs[seq_len(params$n_sites), ]
    -
    -for(i in 2:available){
    -  obs_aug <- abind::abind(
    -    obs_aug, 
    -    fd$obs[((i - 1) * params$n_sites) + seq_len(params$n_sites), ], 
    -    along = 3
    -    )
    -}
    -
    -event_covs_aug <- list(ec1 = fd$event_covs$ec1[seq_len(params$n_sites), ])
    -unit_covs_aug <- data.frame(uc1 = fd$unit_covs[seq_len(params$n_sites), "uc1"])
    -
    -flocker_data = make_flocker_data(
    -  obs_aug, unit_covs_aug, event_covs_aug,
    -  type = "augmented", n_aug = unavailable,
    -  quiet = TRUE)
    -  
    -scode <- flocker_stancode(
    -    f_occ = ~ 0 + Intercept + uc1 + (1 + uc1 || ff_species),
    -    f_det = ~ 0 + Intercept + uc1 + ec1 + (1 + uc1 + ec1 || ff_species),
    -    flocker_data = flocker_data,
    -    prior = 
    -      brms::set_prior("std_normal()") + 
    -      brms::set_prior("std_normal()", class = "sd") +
    -      brms::set_prior("std_normal()", dpar = "occ") +
    -      brms::set_prior("std_normal()", class = "sd", dpar = "occ") +
    -      brms::set_prior("normal(0, 0.1)", class = "Intercept", dpar = "Omega"),
    -    backend = "cmdstanr",
    -    augmented = TRUE
    -  )
    -writeLines(scode, model_name)
    -
    -aug_generator <- function(N){  
    -  omega <- boot::inv.logit(rnorm(1, 0, .1))
    -  available <- rbinom(1, params$n_pseudospecies, omega)
    -  unavailable <- params$n_pseudospecies - available
    -  coef_means <- rnorm(5) # normal prior on random effect means
    -  sigma <- abs(rnorm(5)) # half-normal prior on all random effect sds
    -  Sigma <- diag(5) * sigma
    -  
    -  fd <- simulate_flocker_data(
    -    n_pt = params$n_sites, n_sp = available,
    -    params = list(
    -      coef_means = coef_means,
    -      Sigma = Sigma,
    -      coefs = data.frame(
    -        det_intercept = rnorm(available, coef_means[1], sigma[1]),
    -        det_slope_unit = rnorm(available, coef_means[2], sigma[2]),
    -        det_slope_visit = rnorm(available, coef_means[3], sigma[3]),
    -        occ_intercept = rnorm(available, coef_means[4], sigma[4]),
    -        occ_slope_unit = rnorm(available, coef_means[5], sigma[5])
    -      )
    -    ),
    -    seed = NULL,
    -    rep_constant = FALSE,
    -    ragged_rep = TRUE
    -  )
    -  
    -  obs_aug <- fd$obs[seq_len(params$n_sites), ]
    -  
    -  for(i in 2:available){
    -    obs_aug <- abind::abind(
    -      obs_aug, 
    -      fd$obs[((i - 1) * params$n_sites) + seq_len(params$n_sites), ], 
    -      along = 3
    -      )
    -  }
    -  
    -  event_covs_aug <- list(ec1 = fd$event_covs$ec1[seq_len(params$n_sites), ])
    -  unit_covs_aug <- data.frame(uc1 = fd$unit_covs[seq_len(params$n_sites), "uc1"])
    -  
    -  flocker_data = make_flocker_data(
    -    obs_aug, unit_covs_aug, event_covs_aug,
    -    type = "augmented", n_aug = unavailable,
    -    quiet = TRUE)
    -  # format for return
    -  list(
    -    variables = list(
    -      `b[1]` = fd$params$coef_means[1],
    -      `b[2]` = fd$params$coef_means[2],
    -      `b[3]` = fd$params$coef_means[3],
    -      `b_occ[1]` = fd$params$coef_means[4],
    -      `b_occ[2]` = fd$params$coef_means[5],
    -      `Intercept_Omega` = boot::logit(omega)
    -    ),
    -    generated = flocker_standata(
    -      f_occ = ~ 0 + Intercept + uc1 + (1 + uc1 || ff_species),
    -      f_det = ~ 0 + Intercept + uc1 + ec1 + (1 + uc1 + ec1 || ff_species),
    -      flocker_data = flocker_data,
    -      augmented = TRUE
    -    )
    -  )
    -}
    -
    -aug_gen <- SBC_generator_function(
    -  aug_generator, 
    -  N = params$n_sites
    -  )
    -aug_dataset <- suppressMessages(
    -  generate_datasets(aug_gen, params$n_sims)
    -)
    -  
    -aug_backend <- 
    -  SBC_backend_cmdstan_sample(
    -    cmdstanr::cmdstan_model(
    -      paste0(tempdir(), "/sbc_augmented_model.stan")
    -      )
    -    )
    -
    -aug_results <- compute_SBC(aug_dataset, aug_backend)
    -
    ##  - 8 (4%) fits had at least one Rhat > 1.01. Largest Rhat was 1.019.
    -
    ##  - 3 (2%) fits had divergent transitions. Maximum number of divergences was 1.
    -
    ##  - 5 (2%) fits had some steps rejected. Maximum number of rejections was 1.
    -
    ## Not all diagnostics are OK.
    -## You can learn more by inspecting $default_diagnostics, $backend_diagnostics 
    -## and/or investigating $outputs/$messages/$warnings for detailed output from the backend.
    -
    plot_ecdf(aug_results)
    -

    -
    plot_rank_hist(aug_results)
    -

    -
    plot_ecdf_diff(aug_results)
    -

    -
    - - - - -
    - - - - - - - - - - - - - - -