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#' Deprecated Functions in Package janitor
#'
#' These functions have already become defunct or may be defunct as soon as the next release.
#'
#' \itemize{
#' \item \code{\link{adorn_crosstab}}
#' \item \code{\link{crosstab}}
#' \item \code{\link{use_first_valid_of}}
#' \item \code{\link{convert_to_NA}}
#' \item \code{\link{add_totals_col}}
#' \item \code{\link{add_totals_row}}
#' \item \code{\link{remove_empty_rows}}
#' \item \code{\link{remove_empty_cols}}
#' }
#'
#' @name janitor_deprecated
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#' @title Generate a crosstabulation of two vectors.
#' @param ... arguments
#' @keywords internal
#' @description
#' This function is deprecated, use \code{tabyl(dat, var1, var2)} instead.
#' @export
crosstab <- function(...) {
lifecycle::deprecate_stop(when = "2.0.0",
what = "janitor::crosstab()",
with = "tabyl()",
details = "See the guide to tabyl(): https://cran.r-project.org/web/packages/janitor/vignettes/tabyls.html")
}
#' @title Add presentation formatting to a crosstabulation table.
#' @description
#' This function is deprecated, use the \code{adorn_} family of functions instead.
#' @param dat a data.frame with row names in the first column and numeric values in all other columns. Usually the piped-in result of a call to \code{crosstab} that included the argument \code{percent = "none"}.
#' @param denom the denominator to use for calculating percentages. One of "row", "col", or "all".
#' @param show_n should counts be displayed alongside the percentages?
#' @param digits how many digits should be displayed after the decimal point?
#' @param show_totals display a totals summary? Will be a row, column, or both depending on the value of \code{denom}.
#' @param rounding method to use for truncating percentages - either "half to even", the base R default method, or "half up", where 14.5 rounds up to 15.
#' @return Returns a data.frame.
#' @keywords internal
#' @export
adorn_crosstab <- function(dat, denom = "row", show_n = TRUE, digits = 1, show_totals = FALSE, rounding = "half to even") {
lifecycle::deprecate_stop(when = "2.0.0",
what = "janitor::adorn_crosstab()",
with = "tabyl()",
details = "See the adorn_* functions for formatting a tabyl: https://cran.r-project.org/web/packages/janitor/vignettes/tabyls.html")
}
#' @title Append a totals row to a data.frame.
#'
#' @description
#' This function is deprecated, use \code{adorn_totals} instead.
#'
#' @param dat an input data.frame with at least one numeric column.
#' @param fill if there are more than one non-numeric columns, what string should fill the bottom row of those columns?
#' @param na.rm should missing values (including NaN) be omitted from the calculations?
#' @return Returns a data.frame with a totals row, consisting of "Total" in the first column and column sums in the others.
#' @export
add_totals_row <- function(dat, fill = "-", na.rm = TRUE) {
lifecycle::deprecate_stop(when = "2.0.0",
what = "janitor::add_totals_row()",
with = "adorn_totals()",
details = "See the adorn_* functions for formatting a tabyl or data.frame: https://cran.r-project.org/web/packages/janitor/vignettes/tabyls.html")
}
#' @title Append a totals column to a data.frame.
#'
#' @description
#' This function is deprecated, use \code{adorn_totals} instead.
#'
#' @param dat an input data.frame with at least one numeric column.
#' @param na.rm should missing values (including NaN) be omitted from the calculations?
#' @return Returns a data.frame with a totals column containing row-wise sums.
#' @export
add_totals_col <- function(dat, na.rm = TRUE) {
lifecycle::deprecate_stop(when = "2.0.0",
what = "janitor::add_totals_cols()",
with = "adorn_totals()",
details = "See the adorn_* functions for formatting a tabyl or data.frame: https://cran.r-project.org/web/packages/janitor/vignettes/tabyls.html")
}
#' @title Returns first non-NA value from a set of vectors.
#'
#' @description
#' At each position of the input vectors, iterates through in order and returns the first non-NA value. This is a robust replacement of the common \code{ifelse(!is.na(x), x, ifelse(!is.na(y), y, z))}. It's more readable and handles problems like \code{ifelse}'s inability to work with dates in this way.
#'
##' @section Warning: Deprecated, do not use in new code. Use \code{dplyr::coalesce()} instead.
#' @param ... the input vectors. Order matters: these are searched and prioritized in the order they are supplied.
#' @param if_all_NA what value should be used when all of the vectors return \code{NA} for a certain index? Default is NA.
#' @return Returns a single vector with the selected values.
#' @seealso janitor_deprecated
#' @export
use_first_valid_of <- function(..., if_all_NA = NA) {
lifecycle::deprecate_stop(when = "2.0.0",
what = "janitor::use_first_valid_of()",
with = "dplyr::coalesce()")
}
#' @title Convert string values to true \code{NA} values.
#'
#' @description
#' Converts instances of user-specified strings into \code{NA}. Can operate on either a single vector or an entire data.frame.
#'
#' @section Warning: Deprecated, do not use in new code. Use \code{dplyr::na_if()} instead.
#' @param dat vector or data.frame to operate on.
#' @param strings character vector of strings to convert.
#' @return Returns a cleaned object. Can be a vector, data.frame, or \code{tibble::tbl_df} depending on the provided input.
#' @seealso janitor_deprecated
#' @export
#'
convert_to_NA <- function(dat, strings) {
lifecycle::deprecate_stop(when = "2.0.0",
what = "janitor::convert_to_NA()",
with = "dplyr::na_if()")
}
### Deprecated separate remove row/col functions
#' @title Removes empty rows from a data.frame.
#'
#' @description
#' This function is deprecated, use \code{remove_empty("rows")} instead.
#'
#' @param dat the input data.frame.
#' @return Returns the data.frame with no empty rows.
#' @examples
#' # not run:
#' # dat %>% remove_empty_rows
#' @export
remove_empty_rows <- function(dat) {
lifecycle::deprecate_stop(when = "2.0.0",
what = "janitor::remove_empty_rows()",
with = "janitor::remove_empty()")
}
#' @title Removes empty columns from a data.frame.
#'
#' @description
#' This function is deprecated, use \code{remove_empty("cols")} instead.
#'
#' @param dat the input data.frame.
#' @return Returns the data.frame with no empty columns.
#' @examples
#' # not run:
#' # dat %>% remove_empty_cols
#' @export
remove_empty_cols <- function(dat) {
lifecycle::deprecate_stop(when = "2.0.0",
what = "janitor::remove_empty_cols()",
with = "janitor::remove_empty()")
}
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