Validate and coerce any object as a non-categorical variable.

Converts a vector object to a non-categorical object, typically a column in a data frame. The categories come from valid values present in the object and are suppressed from an associated data dictionary (when present).

drop_category(x)

Arguments

x

object to be coerced.

Value

A R object.

Examples

{

library(dplyr)

###### Example 1: use madshapR_examples provided by the package
dataset <-
  madshapR_examples$`dataset_example` %>%
  mutate(prg_ever_cat = as_category(prg_ever)) %>%
  mutate(prg_ever_no_cat = drop_category(prg_ever))
  
head(dataset[c("prg_ever_cat","prg_ever_no_cat")])

###### Example 2: any data frame can be a dataset
iris_no_cat <- 
  tibble(iris) %>% mutate(Species = drop_category(Species))

head(iris_no_cat)

}
#> # A tibble: 6 × 5
#>   Sepal.Length Sepal.Width Petal.Length Petal.Width Species
#>          <dbl>       <dbl>        <dbl>       <dbl> <chr>  
#> 1          5.1         3.5          1.4         0.2 setosa 
#> 2          4.9         3            1.4         0.2 setosa 
#> 3          4.7         3.2          1.3         0.2 setosa 
#> 4          4.6         3.1          1.5         0.2 setosa 
#> 5          5           3.6          1.4         0.2 setosa 
#> 6          5.4         3.9          1.7         0.4 setosa