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#' Calculate the female baseline
#'
#' @name baseline
#' @description \code{baseline} calculate the female baseline giving a dataframe
#' containing the gender information.
#' @param data_df, dataframe containing the gender column.
#' @param gender_col, the name of the column containing the gender information.
#' @return The function returns a numeric vector containing the baseline values
#' @examples
#' ## df is the dataframe in output from the function assign_gender
#' df <- data.frame(first_name = c("anna", "john", "ernest", "colin", "aileen"),
#' gender = c("F", "M", "M", "M", "F"),
#' stringsAsFactors = FALSE)
#' baseline <- baseline(df, gender_col = "gender")
#' @export
baseline <- function(data_df, gender_col) {
gender_count <- table(data_df[, gender_col])
female <- gender_count["F"][[1]]
male <- gender_count["M"][[1]]
baseline <- round(100 * (female / (female + male)), 1)
baseline
}
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