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>, …