R: Discretize Numeric Variables

step_discretize {recipes} | R Documentation

## Discretize Numeric Variables

### Description

`step_discretize` creates a a specification of a recipe step that will convert numeric data into a factor with bins having approximately the same number of data points (based on a training set).

### Usage

    step_discretize(recipe, ..., role = NA, trained = FALSE, objects = NULL,
      options = list(), skip = FALSE)

    ## S3 method for class 'step_discretize'
    tidy(x, ...)

### Arguments

`recipe` | A recipe object. The step will be added to the sequence of operations for this recipe.
`...` | For `step_discretize`, the dots specify 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.
`objects` | The `discretize()` objects are stored here once the recipe has be trained by `prep.recipe()`.
`options` | A list of options to `discretize()`. A defaults is set for the argument `x`. Note that the using the options `prefix` and `labels` when more than one variable is being transformed might be problematic as all variables inherit those values.
`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
`x` | A `step_discretize` object

### Value

`step_discretize` returns 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 selectors or variables selected) and `value` (the breaks).

[Package recipes version 0.1.2 Index]