step_bottom_code_quant: Bottom code numeric features based on quantile
In Strabes/recipes.ext: Extensions to R's tidymodels

Description Usage Arguments

View source: R/bottom_code_quant.R

step_bottom_code_quant creates a specification of a recipe step that will bottom code numeric data using a quantile learned on a training set.

step_bottom_code_quant(
  recipe,
  ...,
  role = NA,
  trained = FALSE,
  ref_val = NULL,
  prob = 0.02,
  skip = FALSE,
  id = recipes::rand_id("bottom_code_quant")
)

`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.
`ref_val`	A float, learned from the training data, representing the `prob` quantile of the predictor.
`prob`	A float providing the quantile at which to bottom code
`skip`	A logical. Should the step be skipped when the recipe is baked by `bake.recipe()`? While all operations are baked when `prep.recipe()` is run, some operations may not be able to be conducted on new data (e.g. processing the outcome variable(s)). Care should be taken when using `skip = TRUE` as it may affect the computations for subsequent operations
`id`	A character string that is unique to this step to identify it.