Releases: gergness/srvyr
0.3.6
0.3.5
srvyr 0.3.5
-
New functions survey_var and survey_sd to calculate population variance and
standard deviaton. -
Computation of standard errors in all survey_ functions can be suppressed
by setting vartype=NULL (#45, thanks @tzoltak). -
Fixed an issue where you'd get an error when summarize components returned
different lengths of data - usually when factor levels were not present
in the data (#49). -
Removed references to MonetDBLite since it has been removed from CRAN.
-
Small updates to replace soft-deprecated dplyr functions with their tibble
and tidyselect equivalents (#52, thanks @bschneidr).
v0.3.4
v0.3.3
v0.3.2
v0.3.1
Version 0.3.0
srvyr now uses tidy evaluation from rlang. The "underscore" functions have been soft deprecated in favor of quosure splicing. See dplyr's vignette "programming" for more details. In almost all cases, the old syntax will still work, with one exception: the standard evaluation function as_survey_twophase_() had to be changed slightly so that the entire list is inside quotation.
Datbase support has been rewritten. It should be faster now and doesn't require a unique identifier. You also can now convert survey db-backed surveys to srvyr with as_survey.
srvyr now has a pkgdown site, check it out at http://gdfe.co/srvyr
0.2.1
-
Added support for dplyr mutate_at/_if/_all and summarize_at/_if/_all for
srvyr surveys. -
Fixed a few bugs introduced with dplyr 0.6. This version of srvyr will work
with both old versions of dplyr and 0.6, but may be full of warnings if you
update dplyr. Full support for the new dplyr is coming soon.
srvyr 0.2.0
Adds database support
0.1.2
- Fixed a problem with confidence levels not being passed into quantiles
- Added deff parameter to survey_mean(), survey_total() and survey_median(), and a df parameter to those functions and survey_quantile() / survey_median().
- summarize and mutate match dplyr's behavior when arguments aren't named (uses dplyr::auto_name())