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#' Converting many dataframe columns to numeric
#'
#' This function makes it easy to convert many dataframe
#' columns to numeric.
#'
#' @param dat The dataframe with the columns.
#' @param byFactorLabel When converting factors, whether to do this
#' by their label value (`TRUE`) or their level value (`FALSE`).
#' @param ignoreCharacter Whether to convert (`FALSE`) or
#' ignore (`TRUE`) character vectors.
#' @param stringsAsFactors In the returned dataframe, whether
#' to return string (character) vectors as factors or not.
#'
#' @return A data.frame.
#' @export
#'
#' @examples ### Create a dataset
#' a <- data.frame(var1 = factor(1:4),
#' var2 = as.character(5:6),
#' stringsAsFactors=FALSE);
#'
#' ### Ignores var2
#' b <- ufs::massConvertToNumeric(a);
#'
#' ### Converts var2
#' c <- ufs::massConvertToNumeric(a,
#' ignoreCharacter = FALSE);
massConvertToNumeric <- function(dat,
byFactorLabel = FALSE,
ignoreCharacter = TRUE,
stringsAsFactors = FALSE) {
storedAttributes <- attributes(dat);
dat <- data.frame(lapply(dat, function(x) {
if (is.character(x) && ignoreCharacter) {
return(x);
}
else {
return(convertToNumeric(x, byFactorLabel = byFactorLabel));
}
}), stringsAsFactors=stringsAsFactors);
attributes(dat) <- storedAttributes;
return(dat);
}
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