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#' describedata: Miscellaneous descriptive and SAS/Stata duplicate functions
#'
#' The helpR package contains descriptive functions for tasks such as making
#' print-friendly bivariate tables, sample size flow counts, and more. It
#' also contains R approximations of some common, useful SAS/Stata functions.
#'
#' @section Frequency functions:
#' The helper functions \code{\link{bivariate_compare}} and
#' \code{\link{univar_freq}} create frequency tables. \code{\link{univar_freq}}
#' produces simple n and percent for categories of a single variable,
#' while \code{\link{bivariate_compare}} compares continuous or categorical
#' variables across categories of a comparison variable. This is particularly
#' useful for generating a Table 1 or 2 for a publication manuscript.
#'
#' @section Sample size functions:
#' \code{\link{sample_flow}} produces tables illustrating how final sample
#' size is determined and the number of participants excluded by each
#' exclusion criteria.
#'
#' @section Other helper functions:
#' \code{\link{nagelkerke}} calculates the Nagelkerke pseudo r-squared for a
#' logistic regression model.
#'
#' @section Stata replica functions:
#' \code{\link{ladder}}, \code{\link{gladder}}, and \code{\link{pwcorr}} are
#' approximate replicas of the respective Stata functions. Not all
#' functionality is currently incorporated. \code{\link{stata_tidy}}
#' reformats R model output to a format similar to Stata.
#'
#' @section SAS replica functions:
#' \code{\link{proc_means}} is an approximate replica of the respective SAS
#' function. Not all functionality is currently incorporated.
#'
#'
#' @import dplyr
#' @import tidyr
#' @import broom
#' @import haven
#' @import stringr
#' @import lmtest
#'
#' @docType package
#' @name describedata
# Define global variables:
if(getRversion() >= "2.15.1") utils::globalVariables(c("."))
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