Check if data frame has measure column(s) — has_measure_col • measure

Checks whether a data frame contains at least one measure column. This is the recommended way to validate data in step functions.

Usage

has_measure_col(data)

Arguments

data: A data frame.

Value

Invisibly returns the names of measure columns found. Throws an error if no measure columns are found.

Examples

library(recipes)

rec <- recipe(water + fat + protein ~ ., data = meats_long) |>
  update_role(id, new_role = "id") |>
  step_measure_input_long(transmittance, location = vars(channel)) |>
  prep()

result <- bake(rec, new_data = NULL)
has_measure_col(result)  # TRUE (returns invisibly)