#' Rescale low-strong level Eurobarometer questions
#'
#' Rescale the standard Eurobarometer low-strong variable(s) with
#' categories \code{"Not at all"}, \code{"Low"},
#' \code{"Medium"}, \code{"Strong"}.
#' This is a wrapper function around the \code{\link{rescale_categories}} function.
#' @param column A column from a survey data frame where intensity is
#' measured.
#' @param from Defaults to \code{c("Not at all", "Low",
#' "Medium", "Strong")}.
#' @param to Defaults to \code{c(0,1,2,3)}. If \code{return_class = "character"} or
#' \code{return_class = "factor"} is selected it returns the abbreviated category
#' names \code{c("none", "low", "medium",
#' "strong")}.
#' @param na_labels Defaults to \code{c("DK")}.
#' @param exact_from Deafults to \code{TRUE}. If \code{FALSE} you can use the
#' partial matching, but beware that in this case, \code{"twenty"} will be replaced by
#' @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_low_strong_4 (column =
#' c("DK",
#' "Not at all",
#' "Low",
#' "Medium",
#' "Strong"),
#' underscore = FALSE,
#' return_class = "character")
#'
#' rescale_low_strong_4 (column =
#' c("DK",
#' "Not at all",
#' "Low",
#' "Medium",
#' "Strong"),
#' return_class = "numeric")
#' @export
rescale_low_strong_4 <- function ( column,
from = c("Not at all", "Low",
"Medium", "Strong"),
to = c(0,1,2,3 ),
na_labels = "DK",
exact_from = TRUE,
return_class = "numeric",
underscore = TRUE) {
if ( return_class %in% c("character", "factor")) {
to = c("none", "low", "medium",
"strong")
}
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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