Check Measure Recipe Structure — check_measure

Validates that a recipe is properly structured for measure operations. Checks for common issues like missing input steps, incompatible column types, and role conflicts.

Usage

check_measure_recipe(recipe, strict = TRUE)

Arguments

recipe: A recipe object to validate.
strict: Logical. If TRUE (default), returns errors as a tibble. If FALSE, issues cli warnings and returns the recipe invisibly.

Value

If strict = TRUE, returns a tibble with columns:

level: Severity: "error", "warning", or "info"
check: Name of the check that triggered the message
message: Description of the issue

If strict = FALSE, returns the recipe invisibly after printing warnings.

Details

The following checks are performed:

Errors (will cause failures):

No input step (step_measure_input_*)
Output step before input step
Multiple input steps

Warnings (may cause issues):

No output step (data stays in internal format)
Processing steps after output step
No predictor columns identified

Info (suggestions):

Large number of measurement columns (consider dimension reduction)
No ID column identified

Examples

if (FALSE) { # \dontrun{
library(recipes)

# Check a properly structured recipe
rec <- recipe(outcome ~ ., data = meats_long) |>
  update_role(id, new_role = "id") |>
  step_measure_input_long(transmittance, location = vars(channel)) |>
  step_measure_snv() |>
  step_measure_output_wide()

check_measure_recipe(rec)

# Check a recipe with issues
bad_rec <- recipe(outcome ~ ., data = my_data) |>
  step_measure_snv()  # Missing input step!

check_measure_recipe(bad_rec)
} # }