#' Format Dataframe Values (Row and Column)
#'
#' @param df dataframe
#' @param cols numeric
#' @param rows numeric
#'
#' @return dataframe
#' @export
#'
fmt_value_by_row_and_col <- function(df,
rows = 1:nrow(df),
cols = numeric_cols(df)) {
if (is.character(cols)) {cols <- which(names(df) %in% cols)}
nc <- numeric_cols(df)
all_numeric <- all(names(df)[cols] %in% nc)
if (isFALSE(all_numeric)) stop("The chosen columns are not numeric.")
df[rows, cols] <- round(df[rows, cols] / 1000)
df
}
#' Format Dataframe Values (Row)
#'
#' @param df dataframe
#' @param rows numeric
#'
#' @return dataframe
#' @export
#'
fmt_value_by_row <- function(df, rows = 1:nrow(df)) {
nc <- numeric_cols(df)
df[rows, nc] <- round(df[rows, nc] / 1000)
df
}
#' Format Dataframe Values (Column)
#'
#' @param df dataframe
#' @param cols numeric
#'
#' @return dataframe
#' @export
#'
fmt_value_by_col <- function(df, cols = numeric_cols(df)) {
if (is.character(cols)) {cols <- which(names(df) %in% cols)}
nc <- numeric_cols(df)
all_numeric <- all(names(df)[cols] %in% nc)
if (isFALSE(all_numeric)) stop("The chosen columns are not numeric.")
df[, cols] <- round(df[, cols] / 1000)
df
}
#' Format Dataframe Percent (Row and Column)
#'
#' @param df dataframe
#' @param cols numeric
#' @param rows numeric
#'
#' @return dataframe
#' @export
#'
#'
fmt_percent_by_row_and_col <- function(df,
rows = 1:nrow(df),
cols = numeric_cols(df)) {
if (is.character(cols)) {cols <- which(names(df) %in% cols)}
nc <- numeric_cols(df)
all_numeric <- all(names(df)[cols] %in% nc)
if (isFALSE(all_numeric)) stop("The chosen columns are not numeric.")
df[rows, cols] <- round(df[rows, cols] * 100, 2)
df
}
#' Format Dataframe Percent (Row)
#'
#' @param df dataframe
#' @param rows numeric
#'
#' @return dataframe
#' @export
#'
#'
fmt_percent_by_row <- function(df, rows = 1:nrow(df)) {
nc <- numeric_cols(df)
df[rows, nc] <- round(df[rows, nc] * 100, 2)
df
}
#' Format Dataframe Percent (Column)
#'
#' @param df dataframe
#' @param cols numeric
#'
#' @return dataframe
#' @export
#'
#'
fmt_percent_by_col <- function(df, cols = numeric_cols(df)) {
if (is.character(cols)) {cols <- which(names(df) %in% cols)}
nc <- numeric_cols(df)
all_numeric <- all(names(df)[cols] %in% nc)
if (isFALSE(all_numeric)) stop("The chosen columns are not numeric.")
df[, cols] <- round(df[, cols] * 100, 2)
df
}
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