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#' Reverse-Score Variables
#'
#' Reverse-score variables (change the keying/scoring direction).
#'
#' @param range Initial (old) range of values. If `NULL`, will take the range of
#' the input vector (`range(x)`).
#' @param ... Arguments passed to or from other methods.
#' @inheritParams categorize
#' @inheritParams find_columns
#'
#' @inheritSection center Selection of variables - the `select` argument
#'
#' @examples
#' reverse(c(1, 2, 3, 4, 5))
#' reverse(c(-2, -1, 0, 2, 1))
#'
#' # Specify the "theoretical" range of the input vector
#' reverse(c(1, 3, 4), range = c(0, 4))
#'
#' # Factor variables
#' reverse(factor(c(1, 2, 3, 4, 5)))
#' reverse(factor(c(1, 2, 3, 4, 5)), range = 0:10)
#'
#' # Data frames
#' head(reverse(iris))
#' head(reverse(iris, select = "Sepal.Length"))
#'
#' @return A reverse-scored object.
#'
#' @family transform utilities
#'
#' @inherit data_rename seealso
#'
#' @export
reverse <- function(x, ...) {
UseMethod("reverse")
}
#' @rdname reverse
#' @export
reverse_scale <- reverse
#' @export
reverse.default <- function(x, verbose = TRUE, ...) {
if (isTRUE(verbose)) {
insight::format_alert(
paste0(
"Variables of class '",
class(x)[1],
"' can't be recoded and remain unchanged."
)
)
}
x
}
#' @rdname reverse
#' @export
reverse.numeric <- function(x,
range = NULL,
verbose = TRUE,
...) {
# Warning if all NaNs
if (all(is.na(x))) {
return(x)
}
# Warning if only one value
if (insight::has_single_value(x) && is.null(range)) {
if (verbose) {
insight::format_warning("A `range` must be provided for data with only one unique value.")
}
return(x)
}
if (is.null(range)) {
range <- c(min(x, na.rm = TRUE), max(x, na.rm = TRUE))
}
min <- ifelse(is.na(range[1]), min(x, na.rm = TRUE), range[1])
max <- ifelse(is.na(range[2]), max(x, na.rm = TRUE), range[2])
new_min <- max
new_max <- min
out <- as.vector((new_max - new_min) / (max - min) * (x - min) + new_min)
# labelled data?
out <- .set_back_labels(out, x)
out
}
#' @export
reverse.factor <- function(x, range = NULL, verbose = TRUE, ...) {
# Warning if all NaNs
if (all(is.na(x))) {
return(x)
}
# Warning if only one value
if (insight::has_single_value(x) && is.null(range)) {
if (verbose) {
insight::format_warning("A `range` must be provided for data with only one unique value.")
}
return(x)
}
# save for later use
original_x <- x
if (!is.null(range)) {
old_levels <- range
x <- factor(x, levels = range)
} else {
old_levels <- levels(x)
}
int_x <- as.integer(x)
rev_x <- reverse(int_x, range = c(1, length(old_levels)))
x <- factor(rev_x, levels = seq_len(length(old_levels)), labels = old_levels)
# labelled data?
x <- .set_back_labels(x, original_x)
x
}
#' @export
reverse.grouped_df <- function(x,
select = NULL,
exclude = NULL,
range = NULL,
ignore_case = FALSE,
regex = FALSE,
verbose = FALSE,
...) {
info <- attributes(x)
# works only for dplyr >= 0.8.0
grps <- attr(x, "groups", exact = TRUE)[[".rows"]]
# evaluate arguments
select <- .select_nse(select,
x,
exclude,
ignore_case,
regex = regex,
verbose = verbose
)
x <- as.data.frame(x)
for (rows in grps) {
x[rows, ] <- reverse(
x[rows, , drop = FALSE],
select = select,
exclude = exclude,
range = range,
...
)
}
# set back class, so data frame still works with dplyr
attributes(x) <- info
x
}
#' @rdname reverse
#' @export
reverse.data.frame <- function(x,
select = NULL,
exclude = NULL,
range = NULL,
ignore_case = FALSE,
regex = FALSE,
verbose = FALSE,
...) {
# evaluate arguments
select <- .select_nse(select,
x,
exclude,
ignore_case,
regex = regex,
verbose = verbose
)
# Transform the range so that it is a list now
if (!is.null(range)) {
if (!is.list(range)) {
range <- stats::setNames(rep(list(range), length(select)), select)
}
}
x[select] <- lapply(select, function(n) {
reverse(x[[n]], range = range[[n]])
})
x
}
# helper -----------------------------
.set_back_labels <- function(new, old, include_values = TRUE) {
# labelled data?
attr(new, "label") <- attr(old, "label", exact = TRUE)
labels <- attr(old, "labels", exact = TRUE)
if (isTRUE(include_values) && !is.null(labels)) {
attr(new, "labels") <- stats::setNames(rev(labels), names(labels))
}
new
}
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