Nothing
make_labels <- function(data, variables = names(data)[sapply(data, inherits, what = "factor")], filename = "value_labels.yml"){
df <- data[variables]
out <- lapply(df, function(i){
whatclass <- class(i)[1]
res <- levels(i)
names(res) <- 1:length(levels(i))
c(list(class = whatclass), as.list(res))
})
yaml::write_yaml(out, file = filename)
}
# read_labels <- function(filename = "value_labels.yml"){
# labs <- yaml::read_yaml(filename)
# class(labs) <- c("value_labels", class(labs))
# labs
# }
#' @title Drop value labels
#' @description Coerces `factor` and `ordered` variables to class `integer`.
#' @param x A `data.frame`.
#' @param variables Column names of `x` to coerce to integer.
#' @return A `data.frame`.
#' @examples
#' \dontrun{
#' if(interactive()){
#' df <- data.frame(x = factor(c("a", "b")))
#' data_unlabel(df)
#' }
#' }
#' @rdname data_unlabel
#' @export
data_unlabel <- function(x, variables = names(x)[sapply(x, inherits, what = "factor")]){
if(length(variables) > 0){
x[variables] <- lapply(x[variables], as.integer)
}
x
}
#' @title Label factor variables using metadata
#' @description For each column of `x`, this function checks whether value
#' labels exist in `value_labels`. If so, integer values are replaced with these
#' value labels.
#' @param x A `data.frame`.
#' @param variables Column names of `x` to replace, Default: `names(x)`
#' @param value_labels A list with value labels, typically read from metadata
#' generated by \code{\link{open_data}} or \code{\link{closed_data}}.
#' Default: `read_yaml(paste0("value_labels_", substitute(x), ".yml"))`
#' @return A `data.frame`.
#' @examples
#' \dontrun{
#' if(interactive()){
#' labs <- list(x = list(class = "factor", `1` = "a", `2` = "b"))
#' df <- data.frame(x = 1:2)
#' data_label(df, value_labels = labs)
#' }
#' }
#' @rdname data_label
#' @export
data_label <- function(x, variables = names(x), value_labels = read_yaml(paste0("value_labels_", substitute(x), ".yml"))){
out <- x
for(nam in variables){
if(!nam %in% names(value_labels)){
next
}
if(inherits(x[[nam]], what = value_labels[[nam]][1])){
next
}
switch(value_labels[[nam]][["class"]],
"factor" = {
out[[nam]] <- factor(x[[nam]], levels = names(value_labels[[nam]])[-1], labels = unlist(value_labels[[nam]][-1]))
},
"ordered" = {
out[[nam]] <- ordered(x[[nam]], levels = names(value_labels[[nam]])[-1], labels = unlist(value_labels[[nam]][-1]))
})
}
out
}
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