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

error checks

Code
  rec %>% step_window(y1, size = 6)
Condition
  Error in `step_window()`:
  ! `size` should be odd.

Code
  rec %>% step_window(y1, size = NA)
Condition
  Error in `step_window()`:
  ! `size` needs a value.

Code
  rec %>% step_window(y1, statistic = "average")
Condition
  Error in `step_window()`:
  ! `statistic` should be one of: 'mean', 'median', 'sd', 'var', 'sum', 'prod', 'min', 'max'

Code
  rec %>% step_window(y1, size = 1)
Condition
  Error in `step_window()`:
  ! `size` should be at least 3.

Code
  rec %>% step_window(y1, size = 2)
Condition
  Error in `step_window()`:
  ! `size` should be odd.

Code
  rec %>% step_window(y1, size = -1)
Condition
  Error in `step_window()`:
  ! `size` should be at least 3.

Code
  rec %>% step_window(y1, size = pi)
Condition
  Warning:
  `size` was not an integer (3.14159265358979) and was converted to 3.
Message

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

  -- Inputs 
  Number of variables by role
  predictor: 6

  -- Operations 
  * Moving 3-point mean on: y1

Code
  prep(rec %>% step_window(fac), training = sim_dat)
Condition
  Error in `step_window()`:
  Caused by error in `prep()`:
  ! All columns selected for the step should be double, or integer.

Code
  prep(rec %>% step_window(y1, size = 1000L), training = sim_dat)
Condition
  Error in `step_window()`:
  ! `size` should be odd.

Code
  prep(bad_names, training = sim_dat)
Condition
  Error in `step_window()`:
  Caused by error in `prep()`:
  ! There were 2 term(s) selected but 1 values for the new features were passed to `names`.

check_name() is used

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

empty printing

Code
  rec
Message

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

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

  -- Operations 
  * Moving 3-point mean on: <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 
  * Moving 3-point mean on: <none> | Trained

keep_original_cols - can prep recipes with it missing

Code
  rec <- prep(rec)
Condition
  Warning:
  'keep_original_cols' was added to `step_window()` 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: 10

  -- Operations 
  * Moving 3-point mean on: <none>

Code
  prep(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 
  * Moving 3-point mean on: <none> | Trained