Label binary columns with descriptive strings

Converts 0/1 columns into character columns using named label pairs. Values in true_values get the first label, values in false_values get the second label, and everything else becomes NA_character_.

Usage

label_binary(data, labels, true_values = 1, false_values = 0, na_values = NULL)

Arguments

data

A data frame.

labels

A named list where each element is a length-2 character vector c("true label", "false label"), keyed by column name.

true_values

Numeric vector of values that map to the true (first) label. Defaults to 1.

false_values

Numeric vector of values that map to the false (second) label. Defaults to 0.

na_values

Optional numeric vector of additional values to map to the false label (e.g., 97 for "not applicable"). Defaults to NULL.

Value

data with labeled columns.

Examples

d <- data.frame(x = c(1, 0, NA, 97))
label_binary(d,
  labels = list(x = c("Yes", "No")),
  na_values = 97
)
#>      x
#> 1  Yes
#> 2   No
#> 3 <NA>
#> 4   No