# (Re)label columns in data.frame

(Re)label columns in data.frame

## Usage

``` r
set_column_label(data, label, overwrite = TRUE)
```

## Arguments

- data:

  data.frame to be labelled

- label:

  named list or vector

## Value

data.frame

## Examples

``` r
ls <- list("mpg" = "", "cyl" = "Cylinders", "disp" = "", "hp" = "", "drat" = "", "wt" = "", "qsec" = "", "vs" = "", "am" = "", "gear" = "", "carb" = "")
ls2 <- c("mpg" = "", "cyl" = "Cylinders", "disp" = "", "hp" = "Horses", "drat" = "", "wt" = "", "qsec" = "", "vs" = "", "am" = "", "gear" = "", "carb" = "")
ls3 <- c("mpg" = "", "cyl" = "", "disp" = "", "hp" = "Horses", "drat" = "", "wt" = "", "qsec" = "", "vs" = "", "am" = "", "gear" = "", "carb" = "")
mtcars |>
  set_column_label(ls) |>
  set_column_label(ls2) |>
  set_column_label(ls3)
#> # A tibble: 32 × 11
#>      mpg   cyl  disp    hp  drat    wt  qsec    vs    am  gear  carb
#>    <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#>  1  21       6  160    110  3.9   2.62  16.5     0     1     4     4
#>  2  21       6  160    110  3.9   2.88  17.0     0     1     4     4
#>  3  22.8     4  108     93  3.85  2.32  18.6     1     1     4     1
#>  4  21.4     6  258    110  3.08  3.22  19.4     1     0     3     1
#>  5  18.7     8  360    175  3.15  3.44  17.0     0     0     3     2
#>  6  18.1     6  225    105  2.76  3.46  20.2     1     0     3     1
#>  7  14.3     8  360    245  3.21  3.57  15.8     0     0     3     4
#>  8  24.4     4  147.    62  3.69  3.19  20       1     0     4     2
#>  9  22.8     4  141.    95  3.92  3.15  22.9     1     0     4     2
#> 10  19.2     6  168.   123  3.92  3.44  18.3     1     0     4     4
#> # ℹ 22 more rows
rlang::expr(FreesearchR::set_column_label(label = !!ls3)) |> expression_string()
#> [1] "FreesearchR::set_column_label(label=c(mpg='',cyl='',disp='',hp='Horses',drat='',wt='',qsec='',vs='',am='',gear='',carb=''))"
```