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# Remove empty/NA attributes
Remove empty/NA attributes
## Usage
``` r
remove_empty_attr(data)
```
## Arguments
- data:
data
## Value
data of same class as input
## Examples
``` r
ds <- mtcars |>
lapply(\(.x) REDCapCAST::set_attr(.x, label = NA, attr = "label")) |>
dplyr::bind_cols()
ds |>
remove_empty_attr() |>
str()
#> tibble [32 × 11] (S3: tbl_df/tbl/data.frame)
#> $ mpg : num [1:32] 21 21 22.8 21.4 18.7 18.1 14.3 24.4 22.8 19.2 ...
#> $ cyl : num [1:32] 6 6 4 6 8 6 8 4 4 6 ...
#> $ disp: num [1:32] 160 160 108 258 360 ...
#> $ hp : num [1:32] 110 110 93 110 175 105 245 62 95 123 ...
#> $ drat: num [1:32] 3.9 3.9 3.85 3.08 3.15 2.76 3.21 3.69 3.92 3.92 ...
#> $ wt : num [1:32] 2.62 2.88 2.32 3.21 3.44 ...
#> $ qsec: num [1:32] 16.5 17 18.6 19.4 17 ...
#> $ vs : num [1:32] 0 0 1 1 0 1 0 1 1 1 ...
#> $ am : num [1:32] 1 1 1 0 0 0 0 0 0 0 ...
#> $ gear: num [1:32] 4 4 4 3 3 3 3 4 4 4 ...
#> $ carb: num [1:32] 4 4 1 1 2 1 4 2 2 4 ...
mtcars |>
lapply(\(.x) REDCapCAST::set_attr(.x, label = NA, attr = "label")) |>
remove_empty_attr() |>
str()
#> List of 11
#> $ mpg : num [1:32] 21 21 22.8 21.4 18.7 18.1 14.3 24.4 22.8 19.2 ...
#> $ cyl : num [1:32] 6 6 4 6 8 6 8 4 4 6 ...
#> $ disp: num [1:32] 160 160 108 258 360 ...
#> $ hp : num [1:32] 110 110 93 110 175 105 245 62 95 123 ...
#> $ drat: num [1:32] 3.9 3.9 3.85 3.08 3.15 2.76 3.21 3.69 3.92 3.92 ...
#> $ wt : num [1:32] 2.62 2.88 2.32 3.21 3.44 ...
#> $ qsec: num [1:32] 16.5 17 18.6 19.4 17 ...
#> $ vs : num [1:32] 0 0 1 1 0 1 0 1 1 1 ...
#> $ am : num [1:32] 1 1 1 0 0 0 0 0 0 0 ...
#> $ gear: num [1:32] 4 4 4 3 3 3 3 4 4 4 ...
#> $ carb: num [1:32] 4 4 1 1 2 1 4 2 2 4 ...
```