tests/testthat/_snaps/dummy.md

dummy variables with non-factor inputs

Code
  prep(dummy, training = sacr, verbose = FALSE, strings_as_factors = FALSE)
Condition
  Warning:
  The following variables are not factor vectors and will be ignored: `city`, `zip`
  Error in `step_dummy()`:
  Caused by error in `prep()`:
  ! The `terms` argument in `step_dummy` did not select any factor columns.
Code
  recipe(sqft ~ zip + price + city, data = sacr_fac_ish) %>% step_dummy(city, zip,
    price) %>% prep(training = sacr_fac_ish, verbose = FALSE, strings_as_factors = FALSE)
Condition
  Error in `step_dummy()`:
  Caused by error in `prep()`:
  ! All columns selected for the step should be string, factor, or ordered.

tests for NA values in factor

Code
  factors <- prep(factors, training = sacr_missing)
Condition
  Warning:
  There are new levels in a factor: NA
Code
  factors_data_1 <- bake(factors, new_data = sacr_missing)
Condition
  Warning:
  There are new levels in a factor: NA

tests for NA values in ordered factor

Code
  factors <- prep(factors, training = sacr_ordered)
Condition
  Warning:
  There are new levels in a factor: NA
Code
  factors_data_1 <- bake(factors, new_data = sacr_ordered)
Condition
  Warning:
  There are new levels in a factor: NA

new levels

Code
  recipes:::warn_new_levels(testing$x1, levels(training$x1))
Condition
  Warning:
  There are new levels in a factor: C
Code
  bake(rec, new_data = testing)
Condition
  Warning:
  There are new levels in a factor: C
Output
  # A tibble: 10 x 2
     y      x1_B
     <fct> <dbl>
   1 0         0
   2 0         1
   3 1         0
   4 0        NA
   5 1        NA
   6 0         1
   7 0         0
   8 0         1
   9 1        NA
  10 0         0

Deprecation warning

Code
  recipe(~., data = mtcars) %>% step_dummy(preserve = TRUE)
Condition
  Error:
  ! The `preserve` argument of `step_dummy()` was deprecated in recipes 0.1.16 and is now defunct.
  i Please use the `keep_original_cols` argument instead.

no columns selected

Code
  print(rec)
Message

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

  -- Inputs 
  Number of variables by role
  outcome:   1
  predictor: 2

  -- Training information 
  Training data contained 3 data points and no incomplete rows.

  -- Operations 
  * Zero variance filter removed: x | Trained
  * Dummy variables from: <none> | Trained

check_name() is used

Code
  prep(rec, training = dat)
Condition
  Error in `step_dummy()`:
  Caused by error in `bake()`:
  ! Name collision occured. The following variable names already exists:
  i  Species_versicolor

empty printing

Code
  rec
Message

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

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

  -- Operations 
  * Dummy variables from: <none>
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 
  * Dummy variables 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_dummy()` after this recipe was created.
  Regenerate your recipe to avoid this warning.

printing

Code
  print(rec)
Message

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

  -- Inputs 
  Number of variables by role
  outcome:   1
  predictor: 7

  -- Operations 
  * Dummy variables from: city, zip
Code
  prep(rec)
Message

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

  -- Inputs 
  Number of variables by role
  outcome:   1
  predictor: 7

  -- Training information 
  Training data contained 932 data points and no incomplete rows.

  -- Operations 
  * Dummy variables from: city, zip | Trained


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recipes documentation built on Aug. 26, 2023, 1:08 a.m.