Easily subset by data type function
Examples
default_parsing(mtcars) |> subset_types("ordinal")
#> # A tibble: 32 × 0
default_parsing(mtcars) |> subset_types(c("dichotomous", "categorical"))
#> # A tibble: 32 × 5
#> cyl vs am gear carb
#> <fct> <lgl> <lgl> <fct> <fct>
#> 1 6 FALSE TRUE 4 4
#> 2 6 FALSE TRUE 4 4
#> 3 4 TRUE TRUE 4 1
#> 4 6 TRUE FALSE 3 1
#> 5 8 FALSE FALSE 3 2
#> 6 6 TRUE FALSE 3 1
#> 7 8 FALSE FALSE 3 4
#> 8 4 TRUE FALSE 4 2
#> 9 4 TRUE FALSE 4 2
#> 10 6 TRUE FALSE 4 4
#> # ℹ 22 more rows
#' default_parsing(mtcars) |> subset_types("factor",class)