Categorize a numeric variable — addCategories • PatientProfiles

Categorize a numeric variable

Usage

addCategories(
  x,
  variable,
  categories,
  missingCategoryValue = "None",
  overlap = FALSE
)

Arguments

x: Table with individuals in the cdm.
variable: Target variable that we want to categorize.
categories: List of lists of named categories with lower and upper limit.
missingCategoryValue: Value to assign to those individuals not in any named category. If NULL or NA, missing will values will be given.
overlap: TRUE if the categories given overlap.

Value

tibble with the categorical variable added.

Examples

# \donttest{
cdm <- mockPatientProfiles()

result <- cdm$cohort1 %>%
  addAge() %>%
  addCategories(
    variable = "age",
    categories = list("age_group" = list(
      "0 to 39" = c(0, 39), "40 to 79" = c(40, 79), "80 to 150" = c(80, 150)
    ))
  )
mockDisconnect(cdm = cdm)
# }