diff --git a/DESCRIPTION b/DESCRIPTION index 74dc5bd..6dc590c 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -11,11 +11,15 @@ Roxygen: list(markdown = TRUE) RoxygenNote: 7.3.2 Imports: chillR, + circular, clipr, data.table, dplyr, + e1071, ggplot2, gridExtra, + Hmisc, + hydroGOF, lazyeval, lubridate, imputeTS, @@ -25,10 +29,14 @@ Imports: plyr, purrr, R6, - reshape2, + reshape2, + robustbase, sjlabelled, sjmisc, stringr, tibble, tidyselect, - zoo + verification, + Weighted.Desc.Stat, + weights, + zoo \ No newline at end of file diff --git a/LICENSE b/LICENSE deleted file mode 100644 index 0ad25db..0000000 --- a/LICENSE +++ /dev/null @@ -1,661 +0,0 @@ - GNU AFFERO GENERAL PUBLIC LICENSE - Version 3, 19 November 2007 - - Copyright (C) 2007 Free Software Foundation, Inc. - Everyone is permitted to copy and distribute verbatim copies - of this license document, but changing it is not allowed. - - Preamble - - The GNU Affero General Public License is a free, copyleft license for -software and other kinds of works, specifically designed to ensure -cooperation with the community in the case of network server software. - - The licenses for most software and other practical works are designed -to take away your freedom to share and change the works. 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There are many ways you could offer source, and different -solutions will be better for different programs; see section 13 for the -specific requirements. - - You should also get your employer (if you work as a programmer) or school, -if any, to sign a "copyright disclaimer" for the program, if necessary. -For more information on this, and how to apply and follow the GNU AGPL, see -. diff --git a/NAMESPACE b/NAMESPACE index 818b965..8e9465d 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -24,7 +24,6 @@ export(count_calc) export(cp) export(d) export(get_summary_calculation_names) -export(hss) export(instat_comment) export(link) export(mNSE) @@ -47,7 +46,6 @@ export(p70) export(p75) export(p80) export(p90) -export(pc) export(proportion_calc) export(pss) export(rNSE) diff --git a/R/data_book.R b/R/data_book.R index cd4bb5f..c309542 100644 --- a/R/data_book.R +++ b/R/data_book.R @@ -245,18 +245,18 @@ #' \item{\code{link_between_containing(from_data_frame, containing_columns, to_data_frame)}}{This function returns columns in `to_data_frame` corresponding to `containing_columns` in `from_data_frame` if a link exists between them.} #' \item{\code{view_link(link_name)}}{Displays the details of a specified link.} #' -#' \item{\code{apply_calculation(calc)}{Apply a Calculation to Data in the DataBook}} -#' \item{\code{save_calculation(end_data_frame, calc)}{Save a Calculation to a Data Frame}} -#' \item{\code{apply_instat_calculation(calc, curr_data_list, previous_manipulations = list(), param_list = list())}{Apply an Instat Calculation}} -#' \item{\code{run_instat_calculation(calc, display = TRUE, param_list = list())}{Run an Instat Calculation and Display Results}} -#' \item{\code{get_corresponding_link_columns(first_data_frame_name, first_data_frame_columns, second_data_frame_name)}{Get Corresponding Link Columns}} -#' \item{\code{get_link_columns_from_data_frames(first_data_frame_name, first_data_frame_columns, second_data_frame_name, second_data_frame_columns)}{Get Link Columns Between Data Frames}} -#' \item{\code{save_calc_output(calc, curr_data_list, previous_manipulations)}{Save the Output of a Calculation}} +#' \item{\code{apply_calculation(calc)}}{Apply a Calculation to Data in the DataBook} +#' \item{\code{save_calculation(end_data_frame, calc)}}{Save a Calculation to a Data Frame} +#' \item{\code{apply_instat_calculation(calc, curr_data_list, previous_manipulations = list(), param_list = list())}}{Apply an Instat Calculation} +#' \item{\code{run_instat_calculation(calc, display = TRUE, param_list = list())}}{Run an Instat Calculation and Display Results} +#' \item{\code{get_corresponding_link_columns(first_data_frame_name, first_data_frame_columns, second_data_frame_name)}}{Get Corresponding Link Columns} +#' \item{\code{get_link_columns_from_data_frames(first_data_frame_name, first_data_frame_columns, second_data_frame_name, second_data_frame_columns)}}{Get Link Columns Between Data Frames} +#' \item{\code{save_calc_output(calc, curr_data_list, previous_manipulations)}}{Save the Output of a Calculation} #' -#' \item{\code{append_summaries_to_data_object(out, data_name, columns_to_summarise, summaries, factors = c(), summary_name, calc, calc_name = "")}{Append Summaries to a Data Object}} -#' \item{\code{calculate_summary(data_name, columns_to_summarise = NULL, summaries, factors = c(), store_results = TRUE, drop = TRUE, return_output = FALSE, summary_name = NA, result_names = NULL, percentage_type = "none", perc_total_columns = NULL, perc_total_factors = c(), perc_total_filter = NULL, perc_decimal = FALSE, perc_return_all = FALSE, include_counts_with_percentage = FALSE, silent = FALSE, additional_filter, original_level = FALSE, signif_fig = 2, sep = "_", ...)}{Calculate Summaries for a Data Object}} -#' \item{\code{summary(data_name, columns_to_summarise, summaries, factors = c(), store_results = FALSE, drop = FALSE, return_output = FALSE, summary_name = NA, add_cols = c(), filter_names = c(), ...)}{Perform and Return Summaries for a Data Object}} -#' \item{\code{summary_table(data_name, columns_to_summarise = NULL, summaries, factors = c(), store_table = FALSE, store_results = FALSE, drop = TRUE, na.rm = FALSE, summary_name = NA, include_margins = FALSE, margins = "outer", return_output = FALSE, treat_columns_as_factor = FALSE, page_by = NULL, signif_fig = 2, na_display = "", na_level_display = "NA", weights = NULL, caption = NULL, result_names = NULL, percentage_type = "none", perc_total_columns = NULL, perc_total_factors = c(), perc_total_filter = NULL, perc_decimal = FALSE, include_counts_with_percentage = FALSE, margin_name = "(All)", additional_filter, ...)}{Generate a Summary Table}} +#' \item{\code{append_summaries_to_data_object(out, data_name, columns_to_summarise, summaries, factors = c(), summary_name, calc, calc_name = "")}}{Append Summaries to a Data Object} +#' \item{\code{calculate_summary(data_name, columns_to_summarise = NULL, summaries, factors = c(), store_results = TRUE, drop = TRUE, return_output = FALSE, summary_name = NA, result_names = NULL, percentage_type = "none", perc_total_columns = NULL, perc_total_factors = c(), perc_total_filter = NULL, perc_decimal = FALSE, perc_return_all = FALSE, include_counts_with_percentage = FALSE, silent = FALSE, additional_filter, original_level = FALSE, signif_fig = 2, sep = "_", ...)}}{Calculate Summaries for a Data Object} +#' \item{\code{summary(data_name, columns_to_summarise, summaries, factors = c(), store_results = FALSE, drop = FALSE, return_output = FALSE, summary_name = NA, add_cols = c(), filter_names = c(), ...)}}{Perform and Return Summaries for a Data Object} +#' \item{\code{summary_table(data_name, columns_to_summarise = NULL, summaries, factors = c(), store_table = FALSE, store_results = FALSE, drop = TRUE, na.rm = FALSE, summary_name = NA, include_margins = FALSE, margins = "outer", return_output = FALSE, treat_columns_as_factor = FALSE, page_by = NULL, signif_fig = 2, na_display = "", na_level_display = "NA", weights = NULL, caption = NULL, result_names = NULL, percentage_type = "none", perc_total_columns = NULL, perc_total_factors = c(), perc_total_filter = NULL, perc_decimal = FALSE, include_counts_with_percentage = FALSE, margin_name = "(All)", additional_filter, ...)}}{Generate a Summary Table} #' #' @export DataBook <- R6::R6Class("DataBook", @@ -4759,8 +4759,7 @@ DataBook <- R6::R6Class("DataBook", #' `save_calculation` method to store the calculation. #' - The `calc` object typically includes details such as its `name`, `type`, and any parameters #' or dependencies required to perform the calculation. - #' - #' @seealso \code{\link{DataSheet$save_calculation}} + #' - See also \code{\link{DataSheet$save_calculation}} #' #' @note This method delegates the actual saving of the calculation to the respective #' data frame's `save_calculation` method, ensuring modularity and separation of concerns. @@ -5064,9 +5063,9 @@ DataBook <- R6::R6Class("DataBook", warning(paste0("Type is different for ", by[[i]], " in the two data frames. Setting as numeric in both data frames.")) # Convert factors to numeric if necessary - if (class(new_data_list[[by[[i]]]]) == "factor") { + if (inherits(class(new_data_list[[by[[i]]]]), "factor")) { new_data_list[[by[[i]]]] <- as.numeric(as.character(new_data_list[[by[[i]]]])) - } else if (class(curr_data_list[[c_data_label]][[by[[i]]]]) == "factor") { + } else if (inherits(class(curr_data_list[[c_data_label]][[by[[i]]]]), "factor")) { curr_data_list[[c_data_label]][[by[[i]]]] <- as.numeric(as.character(curr_data_list[[c_data_label]][[by[[i]]]])) } else { stop(paste0("Type is different for ", by[[i]], " in the two data frames and cannot be coerced.")) diff --git a/R/data_sheet.R b/R/data_sheet.R index cb76f05..91fe8f2 100644 --- a/R/data_sheet.R +++ b/R/data_sheet.R @@ -187,8 +187,8 @@ #' #' \item{\code{save_calculation(calc)}}{Save a Calculation to the DataSheet.} #' -#' \item{\code{merge_data(new_data, by = NULL, type = "left", match = "all")}{Merge New Data with Existing Data}} -#' \item{\code{calculate_summary(calc, ...)}{Calculate Summaries for Specified Columns}} +#' \item{\code{merge_data(new_data, by = NULL, type = "left", match = "all")}}{Merge New Data with Existing Data} +#' \item{\code{calculate_summary(calc, ...)}}{Calculate Summaries for Specified Columns} #' } #' #' @section Active bindings: diff --git a/R/summary_functions.R b/R/summary_functions.R index 2084b13..47f4b19 100644 --- a/R/summary_functions.R +++ b/R/summary_functions.R @@ -485,7 +485,7 @@ summary_var <- function(x, na.rm = FALSE, weights = NULL, na_type = "", ...) { if(na.rm && na_type != "" && !na_check(x, na_type = na_type, ...)) return(NA) else{ if (missing(weights) || is.null(weights)) { - return(var(x,na.rm = na.rm)) + return(stats::var(x,na.rm = na.rm)) } else { return(Hmisc::wtd.var(x, weights = weights, na.rm = na.rm)) @@ -669,9 +669,9 @@ summary_median <- function(x, na.rm = FALSE, weights = NULL, na_type = "", ...) else{ if(missing(weights) || is.null(weights)) { if (stringr::str_detect(class(x), pattern = "ordered") || stringr::str_detect(class(x), pattern = "Date")) { - return(quantile(x, na.rm = na.rm, probs = 0.5, type = 1)[[1]]) + return(stats::quantile(x, na.rm = na.rm, probs = 0.5, type = 1)[[1]]) } else { - return(median(x, na.rm = na.rm)) + return(stats::median(x, na.rm = na.rm)) } } else { return(Hmisc::wtd.quantile(x, weights = weights, probs = 0.5, na.rm = na.rm)) @@ -698,9 +698,9 @@ summary_quantile <- function(x, na.rm = FALSE, weights = NULL, probs, na_type = else { if(missing(weights) || is.null(weights)) { if (stringr::str_detect(class(x), pattern = "ordered") || stringr::str_detect(class(x), pattern = "Date")) { - return(quantile(x, na.rm = na.rm, probs = probs, type = 1)[[1]]) + return(stats::quantile(x, na.rm = na.rm, probs = probs, type = 1)[[1]]) } else { - return(quantile(x, na.rm = na.rm, probs = probs)[[1]]) + return(stats::quantile(x, na.rm = na.rm, probs = probs)[[1]]) } } else { @@ -913,7 +913,7 @@ summary_outlier_limit <- function(x, coef = 1.5, bupperlimit = TRUE, bskewedcalc } if(na.rm && na_type != "" && !na_check(x, na_type = na_type, ...)) return(NA) else{ - quart <- quantile(x, na.rm = na.rm) + quart <- stats::quantile(x, na.rm = na.rm) Q1 <- quart[[2]] Q3 <- quart[[4]] IQR <- Q3 - Q1 @@ -1077,7 +1077,7 @@ summary_cor <- function(x, y, na.rm = FALSE, na_type = "", weights = NULL, metho if (na.rm && na_type != "" && !na_check(x, na_type = na_type, ...)) return(NA) else { if (missing(weights) || is.null(weights)) { - return(cor(x = x, y = y, use = cor_use, method = method)) + return(stats::cor(x = x, y = y, use = cor_use, method = method)) } else { weights::wtd.cor(x = x, y = y, weight = weights)[1] @@ -1103,7 +1103,7 @@ summary_cov <- function(x, y, na.rm = FALSE, weights = NULL, na_type = "", metho if(na.rm && na_type != "" && !na_check(x, na_type = na_type, ...)) return(NA) else{ if (missing(weights) || is.null(weights)) { - return(cov(x = x, y = y, use = use, method = method)) + return(stats::cov(x = x, y = y, use = use, method = method)) } if (length(weights) != length(x)) stop("'x' and 'weights' must have the same length") @@ -1245,7 +1245,7 @@ proportion_calc <- function(x, prop_test = "==", prop_value, As_percentage = FAL } } else { - remove.na <- na.omit(x) + remove.na <- stats::na.omit(x) y <- remove.na[eval(parse(text = paste("remove.na", prop_value, sep = prop_test)))] if (!As_percentage){ return(round(length(y)/length(remove.na), digits = 2)) @@ -1277,7 +1277,7 @@ count_calc <- function(x, count_test = "==", count_value, na.rm = FALSE, na_type return(length(x[eval(parse(text = paste("x", count_value, sep = count_test)))])) } else{ - y <- na.omit(x) + y <- stats::na.omit(x) return(length(y[eval(parse(text = paste("y", count_value, sep = count_test)))])) } } @@ -1298,11 +1298,11 @@ standard_error_mean <- function(x, na.rm = FALSE, na_type = "", ...){ else{ if (!na.rm){ if(sum(is.na(x) > 0)) return(NA) - return(sd(x)/sqrt(length(x))) + return(stats::sd(x)/sqrt(length(x))) } else{ - y <- na.omit(x) - return(sd(y)/sqrt(length(y))) + y <- stats::na.omit(x) + return(stats::sd(y)/sqrt(length(y))) } } } @@ -1603,39 +1603,39 @@ VE <- function(x, y, na.rm = FALSE, na_type = "", ...){ } } -#' Calculate Percent Correct -#' -#' Computes the percent correct using the `verification::verify` function. -#' -#' @param x Observed values. -#' @param y Predicted values. -#' @param frcst.type Character. The type of forecast (e.g., "binary"). -#' @param obs.type Character. The type of observation (e.g., "binary"). -#' @param ... Additional arguments passed to `verification::verify`. -#' @return The percent correct. -#' @export -pc <- function(x, y, frcst.type, obs.type, ...){ - A <- verification::verify(obs = x, pred = y, frcst.type = frcst.type, obs.type = obs.type) - return(A$pc) -} - -#' Calculate Heidke Skill Score -#' -#' Computes the Heidke skill score using the `verification::verify` function. -#' -#' @inheritParams pc -#' @return The Heidke skill score. -#' @export -hss <- function(x, y, frcst.type, obs.type, ...){ - A <- verification::verify(obs = x, pred = y, frcst.type = frcst.type, obs.type = obs.type) - return(A$hss) -} +# This repetition causes issue in package +# #' Calculate Percent Correct +# #' +# #' Computes the percent correct using the `verification::verify` function. +# #' +# #' @param x Observed values. +# #' @param y Predicted values. +# #' @param frcst.type Character. The type of forecast (e.g., "binary"). +# #' @param obs.type Character. The type of observation (e.g., "binary"). +# #' @param ... Additional arguments passed to `verification::verify`. +# #' @return The percent correct. +# #' @export +# pc <- function(x, y, frcst.type, obs.type, ...){ +# A <- verification::verify(obs = x, pred = y, frcst.type = frcst.type, obs.type = obs.type) +# return(A$pc) +# } +# #' Calculate Heidke Skill Score +# #' +# #' Computes the Heidke skill score using the `verification::verify` function. +# #' +# #' @inheritParams PC +# #' @return The Heidke skill score. +# #' @export +# hss <- function(x, y, frcst.type, obs.type, ...){ +# A <- verification::verify(obs = x, pred = y, frcst.type = frcst.type, obs.type = obs.type) +# return(A$hss) +# } #' Calculate Pierce Skill Score #' #' Computes the Pierce skill score using the `verification::verify` function. #' -#' @inheritParams pc +#' @inheritParams PC #' @return The Pierce skill score. #' @export pss <- function(x, y, frcst.type, obs.type, ...){ @@ -1647,7 +1647,7 @@ pss <- function(x, y, frcst.type, obs.type, ...){ #' #' Computes the Gerrity score using the `verification::verify` function. #' -#' @inheritParams pc +#' @inheritParams PC #' @return The Gerrity score. #' @export GS <- function(x, y, frcst.type, obs.type, ...){ @@ -1659,7 +1659,7 @@ GS <- function(x, y, frcst.type, obs.type, ...){ #' #' Computes the probability of detection (PODy) using the `verification::verify` function. #' -#' @inheritParams pc +#' @inheritParams PC #' @return The probability of detection. #' @export PODy <- function(x, y, frcst.type, obs.type, ...){ @@ -1671,7 +1671,7 @@ PODy <- function(x, y, frcst.type, obs.type, ...){ #' #' Computes the threat score using the `verification::verify` function. #' -#' @inheritParams pc +#' @inheritParams PC #' @return The threat score. #' @export TS <- function(x, y, frcst.type, obs.type, ...){ @@ -1683,7 +1683,7 @@ TS <- function(x, y, frcst.type, obs.type, ...){ #' #' Computes the equitable threat score using the `verification::verify` function. #' -#' @inheritParams pc +#' @inheritParams PC #' @return The equitable threat score. #' @export ETS <- function(x, y, frcst.type, obs.type, ...){ @@ -1695,7 +1695,7 @@ ETS <- function(x, y, frcst.type, obs.type, ...){ #' #' Computes the false alarm ratio using the `verification::verify` function. #' -#' @inheritParams pc +#' @inheritParams PC #' @return The false alarm ratio. #' @export FAR <- function(x, y, frcst.type, obs.type, ...){ @@ -1707,7 +1707,7 @@ FAR <- function(x, y, frcst.type, obs.type, ...){ #' #' Computes the Heidke skill score using the `verification::verify` function. #' -#' @inheritParams pc +#' @inheritParams PC #' @return The Heidke skill score. #' @export HSS <- function(x, y, frcst.type, obs.type, ...){ @@ -1719,7 +1719,11 @@ HSS <- function(x, y, frcst.type, obs.type, ...){ #' #' Computes the percent correct using the `verification::verify` function. #' -#' @inheritParams pc +#' @param x Observed values. +#' @param y Predicted values. +#' @param frcst.type Character. The type of forecast (e.g., "binary"). +#' @param obs.type Character. The type of observation (e.g., "binary"). +#' @param ... Additional arguments passed to `verification::verify`. #' @return The percent correct. #' @export PC <- function(x, y, frcst.type, obs.type, ...){ @@ -1731,7 +1735,7 @@ PC <- function(x, y, frcst.type, obs.type, ...){ #' #' Computes the bias using the `verification::verify` function. #' -#' @inheritParams pc +#' @inheritParams PC #' @return The bias. #' @export BIAS <- function(x, y, frcst.type, obs.type, ...){ diff --git a/man/DataBook.Rd b/man/DataBook.Rd index 7cbd01e..e289efb 100644 --- a/man/DataBook.Rd +++ b/man/DataBook.Rd @@ -251,25 +251,22 @@ their existence in both data frames. \item{\code{link_between_containing(from_data_frame, containing_columns, to_data_frame)}}{This function returns columns in \code{to_data_frame} corresponding to \code{containing_columns} in \code{from_data_frame} if a link exists between them.} \item{\code{view_link(link_name)}}{Displays the details of a specified link.} -\item{\code{apply_calculation(calc)}{Apply a Calculation to Data in the DataBook}} -\item{\code{save_calculation(end_data_frame, calc)}{Save a Calculation to a Data Frame}} -\item{\code{apply_instat_calculation(calc, curr_data_list, previous_manipulations = list(), param_list = list())}{Apply an Instat Calculation}} -\item{\code{run_instat_calculation(calc, display = TRUE, param_list = list())}{Run an Instat Calculation and Display Results}} -\item{\code{get_corresponding_link_columns(first_data_frame_name, first_data_frame_columns, second_data_frame_name)}{Get Corresponding Link Columns}} -\item{\code{get_link_columns_from_data_frames(first_data_frame_name, first_data_frame_columns, second_data_frame_name, second_data_frame_columns)}{Get Link Columns Between Data Frames}} -\item{\code{save_calc_output(calc, curr_data_list, previous_manipulations)}{Save the Output of a Calculation}} - -\item{\code{append_summaries_to_data_object(out, data_name, columns_to_summarise, summaries, factors = c(), summary_name, calc, calc_name = "")}{Append Summaries to a Data Object}} -\item{\code{calculate_summary(data_name, columns_to_summarise = NULL, summaries, factors = c(), store_results = TRUE, drop = TRUE, return_output = FALSE, summary_name = NA, result_names = NULL, percentage_type = "none", perc_total_columns = NULL, perc_total_factors = c(), perc_total_filter = NULL, perc_decimal = FALSE, perc_return_all = FALSE, include_counts_with_percentage = FALSE, silent = FALSE, additional_filter, original_level = FALSE, signif_fig = 2, sep = "_", ...)}{Calculate Summaries for a Data Object}} -\item{\code{summary(data_name, columns_to_summarise, summaries, factors = c(), store_results = FALSE, drop = FALSE, return_output = FALSE, summary_name = NA, add_cols = c(), filter_names = c(), ...)}{Perform and Return Summaries for a Data Object}} -\item{\code{summary_table(data_name, columns_to_summarise = NULL, summaries, factors = c(), store_table = FALSE, store_results = FALSE, drop = TRUE, na.rm = FALSE, summary_name = NA, include_margins = FALSE, margins = "outer", return_output = FALSE, treat_columns_as_factor = FALSE, page_by = NULL, signif_fig = 2, na_display = "", na_level_display = "NA", weights = NULL, caption = NULL, result_names = NULL, percentage_type = "none", perc_total_columns = NULL, perc_total_factors = c(), perc_total_filter = NULL, perc_decimal = FALSE, include_counts_with_percentage = FALSE, margin_name = "(All)", additional_filter, ...)}{Generate a Summary Table}} +\item{\code{apply_calculation(calc)}}{Apply a Calculation to Data in the DataBook} +\item{\code{save_calculation(end_data_frame, calc)}}{Save a Calculation to a Data Frame} +\item{\code{apply_instat_calculation(calc, curr_data_list, previous_manipulations = list(), param_list = list())}}{Apply an Instat Calculation} +\item{\code{run_instat_calculation(calc, display = TRUE, param_list = list())}}{Run an Instat Calculation and Display Results} +\item{\code{get_corresponding_link_columns(first_data_frame_name, first_data_frame_columns, second_data_frame_name)}}{Get Corresponding Link Columns} +\item{\code{get_link_columns_from_data_frames(first_data_frame_name, first_data_frame_columns, second_data_frame_name, second_data_frame_columns)}}{Get Link Columns Between Data Frames} +\item{\code{save_calc_output(calc, curr_data_list, previous_manipulations)}}{Save the Output of a Calculation} + +\item{\code{append_summaries_to_data_object(out, data_name, columns_to_summarise, summaries, factors = c(), summary_name, calc, calc_name = "")}}{Append Summaries to a Data Object} +\item{\code{calculate_summary(data_name, columns_to_summarise = NULL, summaries, factors = c(), store_results = TRUE, drop = TRUE, return_output = FALSE, summary_name = NA, result_names = NULL, percentage_type = "none", perc_total_columns = NULL, perc_total_factors = c(), perc_total_filter = NULL, perc_decimal = FALSE, perc_return_all = FALSE, include_counts_with_percentage = FALSE, silent = FALSE, additional_filter, original_level = FALSE, signif_fig = 2, sep = "_", ...)}}{Calculate Summaries for a Data Object} +\item{\code{summary(data_name, columns_to_summarise, summaries, factors = c(), store_results = FALSE, drop = FALSE, return_output = FALSE, summary_name = NA, add_cols = c(), filter_names = c(), ...)}}{Perform and Return Summaries for a Data Object} +\item{\code{summary_table(data_name, columns_to_summarise = NULL, summaries, factors = c(), store_table = FALSE, store_results = FALSE, drop = TRUE, na.rm = FALSE, summary_name = NA, include_margins = FALSE, margins = "outer", return_output = FALSE, treat_columns_as_factor = FALSE, page_by = NULL, signif_fig = 2, na_display = "", na_level_display = "NA", weights = NULL, caption = NULL, result_names = NULL, percentage_type = "none", perc_total_columns = NULL, perc_total_factors = c(), perc_total_filter = NULL, perc_decimal = FALSE, include_counts_with_percentage = FALSE, margin_name = "(All)", additional_filter, ...)}}{Generate a Summary Table} @export } -\seealso{ -\code{\link{DataSheet$save_calculation}} -} \section{Active bindings}{ \if{html}{\out{
}} \describe{ @@ -6586,6 +6583,7 @@ This object should include relevant parameters and metadata for the calculation. \code{save_calculation} method to store the calculation. \item The \code{calc} object typically includes details such as its \code{name}, \code{type}, and any parameters or dependencies required to perform the calculation. +\item See also \code{\link{DataSheet$save_calculation}} } } diff --git a/man/DataSheet.Rd b/man/DataSheet.Rd index 5c4e155..3f5362a 100644 --- a/man/DataSheet.Rd +++ b/man/DataSheet.Rd @@ -232,8 +232,8 @@ Merge New Data with Existing Data \item{\code{save_calculation(calc)}}{Save a Calculation to the DataSheet.} -\item{\code{merge_data(new_data, by = NULL, type = "left", match = "all")}{Merge New Data with Existing Data}} -\item{\code{calculate_summary(calc, ...)}{Calculate Summaries for Specified Columns}} +\item{\code{merge_data(new_data, by = NULL, type = "left", match = "all")}}{Merge New Data with Existing Data} +\item{\code{calculate_summary(calc, ...)}}{Calculate Summaries for Specified Columns} } }