impute_median.md
In recipes: Preprocessing and Feature Engineering Steps for Modeling

non-numeric

Code
  prep(impute_rec, training = credit_tr, verbose = FALSE)
Condition
  Error in `step_impute_median()`:
  Caused by error in `prep()`:
  ! All columns selected for the step should be double, or integer.

Deprecation warning

Code
  recipe(~., data = mtcars) %>% step_medianimpute()
Condition
  Error:
  ! `step_medianimpute()` was deprecated in recipes 0.1.16 and is now defunct.
  i Please use `step_impute_median()` instead.

case weights

Code
  impute_rec
Message

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

  -- Inputs 
  Number of variables by role
  outcome:       1
  predictor:    12
  case_weights:  1

  -- Training information 
  Training data contained 2000 data points and 186 incomplete rows.

  -- Operations 
  * Median imputation for: Age, Assets, Income | Trained, weighted

Code
  impute_rec
Message

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

  -- Inputs 
  Number of variables by role
  outcome:       1
  predictor:    12
  case_weights:  1

  -- Training information 
  Training data contained 2000 data points and 186 incomplete rows.

  -- Operations 
  * Median imputation for: Age, Assets, Income | Trained, ignored weights

empty printing

Code
  rec
Message

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

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

  -- Operations 
  * Median imputation for: <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 
  * Median imputation for: <none> | Trained

printing

Code
  print(rec)
Message

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

  -- Inputs 
  Number of variables by role
  outcome:    1
  predictor: 13

  -- Operations 
  * Median imputation for: Age, Assets, Income

Code
  prep(rec)
Message

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

  -- Inputs 
  Number of variables by role
  outcome:    1
  predictor: 13

  -- Training information 
  Training data contained 2000 data points and 186 incomplete rows.

  -- Operations 
  * Median imputation for: Age, Assets, Income | Trained