Convert multiple numeric variables to factors

This is a convenience function to convert the expected set of numeric category variables to factors. It's basically a wrapper for df_factor_var.

label_categories(df, categories = c("R3", "sex", "res"), ...)

Arguments

df	data frame: Input data frame
categories	character: vector of variable names to convert to factor (if present)
...	additional arguments passed to df_factor_var

See also

Salic Function Reference: salic

Other functions for working with category variables: df_factor_var, factor_var, recode_agecat

Examples

library(dplyr)
data(history)
x <- label_categories(history, suppress_check = FALSE)
#> # A tibble: 5 x 3
#>   new          old     n
#>   <fct>      <int> <int>
#> 1 Carry          1 10476
#> 2 Renew          2 21134
#> 3 Reactivate     3  8941
#> 4 Recruit        4 13534
#> 5 <NA>          NA 37821
#> 
#> # A tibble: 3 x 3
#>   new      old     n
#>   <fct>  <int> <int>
#> 1 Male       1 71930
#> 2 Female     2 18474
#> 3 <NA>      NA  1502
#> 
#> # A tibble: 2 x 3
#>   new           old     n
#>   <fct>       <int> <int>
#> 1 Resident        1 71345
#> 2 Nonresident     0 20561
#>