inst/doc/Selecting_Variables.R

In recipes: Preprocessing and Feature Engineering Steps for Modeling

## ----ex_setup, include=FALSE--------------------------------------------------
knitr::opts_chunk$set(
  message = FALSE,
  digits = 3,
  collapse = TRUE,
  comment = "#>",
  eval = requireNamespace("modeldata", quietly = TRUE)
  )
options(digits = 3)

## ----penguins-----------------------------------------------------------------
library(recipes)
library(modeldata)

data("penguins")
str(penguins)

rec <- recipe(body_mass_g ~ ., data = penguins)
rec

## ----var_info_orig------------------------------------------------------------
summary(rec, original = TRUE)

## ----var_info_orig_type-------------------------------------------------------
summary(rec, original = TRUE)$type

## ----dummy_1------------------------------------------------------------------
dummied <- rec %>% step_normalize(all_numeric())

## ----dummy_2------------------------------------------------------------------
dummied <- rec %>% step_normalize(bill_length_mm, bill_depth_mm, 
                                  flipper_length_mm) # or
dummied <- rec %>% step_normalize(all_numeric(), - body_mass_g) # or
dummied <- rec %>% step_normalize(all_numeric_predictors()) # recommended

## -----------------------------------------------------------------------------
rec %>%
  step_dummy(sex) %>%
  prep() %>%
  juice()

## ----dummy_3------------------------------------------------------------------
dummied <- prep(dummied, training = penguins)
with_dummy <- bake(dummied, new_data = penguins)
with_dummy