recipes (version 0.1.1)

step_unorder: Convert Ordered Factors to Unordered Factors

Description

step_unorder creates a specification of a recipe step that will transform the data.

Usage

step_unorder(recipe, ..., role = NA, trained = FALSE, columns = NULL)
# S3 method for step_unorder
tidy(x, ...)

Arguments

recipe

A recipe object. The step will be added to the sequence of operations for this recipe.

...

One or more selector functions to choose which variables are affected by the step. See selections() for more details. For the tidy method, these are not currently used.

role

Not used by this step since no new variables are created.

trained

A logical to indicate if the quantities for preprocessing have been estimated.

columns

A character string of variable names that will be (eventually) populated by the terms argument.

x

A step_unorder object.

Value

An updated version of recipe with the new step added to the sequence of existing steps (if any). For the tidy method, a tibble with columns terms (the columns that will be affected).

Details

The factors level order is preserved during the transformation.

See Also

step_ordinalscore() recipe() prep.recipe() bake.recipe()

Examples

# NOT RUN {
lmh <- c("Low", "Med", "High")

examples <- data.frame(X1 = factor(rep(letters[1:4], each = 3)),
                       X2 = ordered(rep(lmh, each = 4),
                                    levels = lmh))

rec <- recipe(~ X1 + X2, data = examples)

factor_trans <- rec  %>%
  step_unorder(all_predictors())

factor_obj <- prep(factor_trans, training = examples)

transformed_te <- bake(factor_obj, examples)
table(transformed_te$X2, examples$X2)

tidy(factor_trans, number = 1)
tidy(factor_obj, number = 1)
# }