madshapR (version 2.0.0)

is_category: Test and validate if an object is a categorical variable.

Description

Tests if the input object is a categorical variable. This function mainly helps validate input within other functions of the package but could be used to check if a column is categorical.

Usage

is_category(x, threshold = NULL)

Value

A logical.

Arguments

x

object to be coerced.

threshold

Optional. The function returns TRUE if the number of unique values in the input vector is lower.

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))
  
is_category(dataset[['prg_ever_cat']])
is_category(dataset[['prg_ever_no_cat']])

###### Example 2: any data frame can be a dataset
iris %>% reframe(across(everything(), is_category))

}