tests/testthat/_snaps/ratio.md

In tidymodels/recipes: Preprocessing and Feature Engineering Steps for Modeling

wrong type

Code
  prep(rec4, ex_dat, verbose = FALSE)
Condition
  Error in `step_ratio()`:
  Caused by error in `prep()`:
  x All columns selected for the step should be double or integer.
  * 1 factor variable found: `x5`

Code
  prep(rec5, ex_dat, verbose = FALSE)
Condition
  Error in `step_ratio()`:
  Caused by error in `prep()`:
  x All columns selected for the step should be double or integer.
  * 1 factor variable found: `x5`

Code
  prep(rec6, ex_dat, verbose = FALSE)
Condition
  Error in `step_ratio()`:
  Caused by error in `prep()`:
  x All columns selected for the step should be double or integer.
  * 1 factor variable found: `x5`

check_name() is used

Code
  prep(rec, training = dat)
Condition
  Error in `step_ratio()`:
  Caused by error in `bake()`:
  ! Name collision occurred. The following variable names already exist:
  * `mpg_o_disp`

recipes_argument_select() is used

Code
  recipe(mpg ~ ., data = mtcars) %>% step_ratio(disp, denom = NULL) %>% prep()
Condition
  Error in `step_ratio()`:
  Caused by error in `prep()`:
  ! `denom` must not be `NULL`.

bake method errors when needed non-standard role columns are missing

Code
  bake(rec1, ex_dat[, 2:5])
Condition
  Error in `step_ratio()`:
  ! The following required column is missing from `new_data`: x1.

empty printing

Code
  rec
Message

  -- Recipe ----------------------------------------------------------------------

  -- Inputs 
  Number of variables by role
  outcome:    1
  predictor: 10

  -- Operations 
  * Ratios from: mpg

Code
  rec
Message

  -- Recipe ----------------------------------------------------------------------

  -- Inputs 
  Number of variables by role
  outcome:    1
  predictor: 10

  -- Training information 
  Training data contained 32 data points and no incomplete rows.

  -- Operations 
  * Ratios from: <none> | Trained

keep_original_cols - can prep recipes with it missing

Code
  rec <- prep(rec)
Condition
  Warning:
  `keep_original_cols` was added to `step_ratio()` after this recipe was created.
  i Regenerate your recipe to avoid this warning.

printing

Code
  print(rec)
Message

  -- Recipe ----------------------------------------------------------------------

  -- Inputs 
  Number of variables by role
  predictor: 5

  -- Operations 
  * Ratios from: all_numeric() all_numeric()

Code
  prep(rec)
Message

  -- Recipe ----------------------------------------------------------------------

  -- Inputs 
  Number of variables by role
  predictor: 5

  -- Training information 
  Training data contained 10 data points and 1 incomplete row.

  -- Operations 
  * Ratios from: x2, x3, x4, x1, x1, x2, x3, x4 | Trained

bad args

Code
  recipe(~ mpg + disp, mtcars) %>% step_ratio(mpg, denom = disp, naming = NULL) %>%
    prep()
Condition
  Error in `step_ratio()`:
  Caused by error in `prep()`:
  ! `naming` must be a function, not `NULL`.

tidymodels/recipes documentation built on April 17, 2025, 6:17 p.m.