Skip to contents

[Experimental]

Usage

labs_clear(data, cols, labels = NULL)

Arguments

data

A tibble.

cols

Tidyselect columns.

labels

The attributes to remove. NULL to remove all attributes except levels and class.

Value

A tibble with comments removed.

Examples

library(volker)
volker::chatgpt |>
  labs_clear()
#> # A tibble: 101 × 19
#>     case use_private use_work cg_adoption_advantage_01 cg_adoption_advantage_02
#>    <dbl>       <dbl>    <dbl>                    <dbl>                    <dbl>
#>  1   170           4        4                        3                        4
#>  2   183           1        1                        4                        3
#>  3   195           2        4                        5                        5
#>  4   212           5        5                        4                        4
#>  5   222           2        3                        3                        2
#>  6   236           3        1                        3                        2
#>  7   255           3        1                        3                        1
#>  8   297           3        4                        4                        3
#>  9   309           3        3                        3                        4
#> 10   325           2        1                        4                        1
#> # ℹ 91 more rows
#> # ℹ 14 more variables: cg_adoption_advantage_03 <dbl>,
#> #   cg_adoption_advantage_04 <dbl>, cg_adoption_fearofuse_01 <dbl>,
#> #   cg_adoption_fearofuse_02 <dbl>, cg_adoption_fearofuse_03 <dbl>,
#> #   cg_adoption_fearofuse_04 <dbl>, cg_adoption_social_01 <dbl>,
#> #   cg_adoption_social_02 <dbl>, cg_adoption_social_03 <dbl>,
#> #   cg_adoption_social_04 <dbl>, adopter <fct>, sd_age <dbl>, …