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#' Safely Change or Add a Data Frame Variable (Column)
#'
#' @description
#' `schange` allows one to modify or add a column to a data.frame while
#' preserving the labelr attributes attached to the inputted data.frame.
#'
#' @details
#' Note that, while `schange` preserves label meta-data of the supplied
#' data.frame, it does not update or add any new labels. Therefore, if you are
#' altering the range of values for an extant variable or adding a new variable
#' to the data.frame, you will need to explicitly instantiate any new or
#' modified labels that you desire via follow-up calls to functions such as
#' `add_val_labs()`, `drop_val_labs()`, etc.
#'
#' @param data a data.frame.
#' @param ... an expression that will create or update a column in data.
#' @return a data.frame.
#' @export
#' @examples
#' df <- mtcars
#' # now, add value labels
#' df <- add_val_labs(
#' data = df,
#' vars = "am",
#' vals = c(0, 1),
#' labs = c("automatic", "manual")
#' )
#'
#' df <- add_val_labs(
#' data = df,
#' vars = "carb",
#' vals = c(1, 2, 3, 4, 6, 8),
#' labs = c(
#' "1-carb", "2-carbs",
#' "3-carbs", "4-carbs",
#' "6-carbs", "8-carbs"
#' )
#' )
#'
#' df <- schange(df, mpg_sq = mpg^2) # create var "mpg_sq"
#' df <- schange(df, am = ifelse(am == 0, 2, am)) # modify/replace var "am"
#'
#' head(df, 4) # show that data.frame modifications have been made
#' get_all_lab_atts(df) # labels are intact; "val.labs.am" needs updating!
#' df <- drop_val_labs(
#' data = df,
#' vars = "am"
#' )
#'
#' df <- add_val_labs(
#' data = df,
#' vars = "am",
#' vals = c(1, 2),
#' labs = c("manual", "automatic")
#' )
#' get_val_labs(df)
schange <- function(data, ...) {
# make this a Base R data.frame
data <- as_base_data_frame(data)
lab_atts_list <- get_all_lab_atts(data)
length_test <- as.character((as.list(substitute(...()))))
if (length(length_test) > 1) {
stop("
\nYou may not pass more than one expression for evaluation.")
}
x <- eval(substitute(alist(...)))
name_x <- names(x)
x <- eval(parse(text = as.character(x)), envir = data)
data[[name_x]] <- x
data <- add_lab_atts(data, lab_atts_list, num.convert = FALSE)
return(data)
}
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