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

default lag works on a single feature

Code
  prepped_rec <- recipe(~., data = df) %>% step_lag(x, lag = 0.5) %>% prep(df)
Condition
  Error in `step_lag()`:
  Caused by error in `prep()`:
  ! step_lag() requires 'lag' argument to be integer-valued.

empty printing

Code
  rec
Message

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

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

  -- Operations 
  * Lagging: <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 
  * Lagging: <none> | Trained

keep_original_cols - can prep recipes with it missing

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

printing

Code
  print(rec)
Message

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

  -- Inputs 
  Number of variables by role
  predictor: 11

  -- Operations 
  * Lagging: disp

Code
  prep(rec)
Message

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

  -- Inputs 
  Number of variables by role
  predictor: 11

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

  -- Operations 
  * Lagging: disp | Trained