#' Rescale outlook Eurobarometer questions
#'
#' Rescale the standard Eurobarometer candidate membership
#' benefit variable(s) with
#' categories \code{"Would benefit"}, \code{"Would not benefit"}.
#' The generic question is \code{"Taking everything into account,
#' would you say that (OUR COUNTRY) would benefit or not from
#' being a member of the EU?"}
#' This is a wrapper function around the \code{\link{rescale_categories}}
#' function.
#' @param column A column from a survey data frame where gender is recorded.
#' @param from Defaults to \code{"Would benefit"}, \code{"Would not benefit"}.
#' @param to Defaults to \code{c(1,0)}. If \code{return_class = "character"} or
#' \code{return_class = "factor"} is selected it returns the abbreviated category
#' names \code{c("benefit", "not_benefit"}.
#' @param na_labels Defaults to \code{c("default")}.
#' @param exact_from Deafults to \code{TRUE}.
#' @param return_class Default is \code{"numeric"}, alternatives \code{"character"} or
#' \code{"factor"}.
#' @param underscore Defaults to \code{TRUE} in which case factor names or character strings
#' contain underscore_between_words. This is a better approach for further programming,
#' but you can choose \code{FALSE} for nicer printing results. See examples.
#' @examples
#' rescale_benefit_2 (column =c("DK",
#' "Would benefit",
#' "Would not benefit"),
#' return_class = "character",
#' underscore = FALSE)
#'
#' rescale_benefit_2 (column =c("DK","Would benefit",
#' "Would not benefit"),
#' return_class = "numeric")
#' @export
rescale_benefit_2 <- function ( column,
from = c("Would benefit",
"Would not benefit"),
to = c(1,0),
na_labels = "default",
exact_from = TRUE,
return_class = "numeric",
underscore = TRUE) {
if ( return_class %in% c("character", "factor")) {
to <- c("benefit", "not_benefit")
if ( underscore == FALSE ) {
to <- gsub("_", " ", to)
}
}
return(rescale_categories(column = column,
from = from, to = to,
na_labels = na_labels,
exact_from = exact_from,
return_class = return_class))
}
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