Categorize a person's age

A helper function to create age group categories from a precomputed numeric age variable.

categorize_age() uses the cut() function to create right-closed intervals by default, i.e. "(a,b]", of age groups by decade labeled as: '0-10', '10-20', '20-30', '30-40', '40-50', '50-60', '60-70', '70-80', '80+'. A patient who is 30 years 47 days old will be in the '30-40' group.

Usage

categorize_age(age)

Arguments

age

A precomputed variable in the data set or data.frame describing numeric age.

Value

Age categories: a label for every age group (decade).

Examples

if (FALSE) { # \dontrun{
ds$person %>%
  dplyr::left_join(get_person_age(ds)) %>% # Procompute `age` variable, defaults to enrollment
  mutate(age_category = categorize_age(age)) 
} # }