recipes (version 0.1.0)

step_rm: General Variable Filter

Description

step_rm creates a specification of a recipe step that will remove variables based on their name, type, or role.

Usage

step_rm(recipe, ..., role = NA, trained = FALSE, removals = NULL)

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 that will evaluated by the filtering bake. See selections for more details.

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.

removals

A character string that contains the names of columns that should be removed. These values are not determined until prep.recipe is called.

Value

An updated version of recipe with the new step added to the sequence of existing steps (if any).

Examples

# NOT RUN {
data(biomass)

biomass_tr <- biomass[biomass$dataset == "Training",]
biomass_te <- biomass[biomass$dataset == "Testing",]

rec <- recipe(HHV ~ carbon + hydrogen + oxygen + nitrogen + sulfur,
              data = biomass_tr)

library(dplyr)
smaller_set <- rec %>%
  step_rm(contains("gen"))

smaller_set <- prep(smaller_set, training = biomass_tr)

filtered_te <- bake(smaller_set, biomass_te)
filtered_te
# }