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

harmonic error

Code
  recipe(osc ~ time_var, data = harmonic_dat) %>% step_harmonic(time_var,
    frequency = 1, cycle_size = NA)
Condition
  Error in `step_harmonic()`:
  ! cycle_size must have at least one non-NA numeric value.

Code
  recipe(osc ~ time_var, data = harmonic_dat) %>% step_harmonic(time_var,
    frequency = 1, starting_val = 0, cycle_size = NA)
Condition
  Error in `step_harmonic()`:
  ! cycle_size must have at least one non-NA numeric value.

Code
  recipe(osc ~ time_var, data = harmonic_dat) %>% step_harmonic(time_var,
    frequency = 1, starting_val = 0, cycle_size = "a")
Condition
  Error in `step_harmonic()`:
  ! cycle_size must have at least one non-NA numeric value.

Code
  recipe(osc ~ time_var, data = harmonic_dat) %>% step_harmonic(time_var,
    frequency = 1, starting_val = "a", cycle_size = 86400)
Condition
  Error in `step_harmonic()`:
  ! starting_val must be NA, numeric, Date or POSIXt

Code
  recipe(osc ~ time_var, data = harmonic_dat) %>% step_harmonic(time_var,
    frequency = 1, starting_val = factor("a"), cycle_size = 86400)
Condition
  Error in `step_harmonic()`:
  ! starting_val must be NA, numeric, Date or POSIXt

harmonic NA in term

Code
  recipe(osc ~ time_var, data = harmonic_dat) %>% step_harmonic(time_var,
    frequency = 4, cycle_size = 86400) %>% prep() %>% bake(new_data = NULL)
Condition
  Error in `step_harmonic()`:
  Caused by error in `bake()`:
  ! variable must have at least one non-NA value

harmonic character in term

Code
  recipe(osc ~ time_var, data = harmonic_dat) %>% step_harmonic(time_var,
    frequency = 4, cycle_size = 86400) %>% prep() %>% bake(new_data = NULL)
Condition
  Error in `step_harmonic()`:
  Caused by error in `prep()`:
  ! All columns selected for the step should be date, datetime, or numeric.

harmonic cycle_size length

Code
  recipe(osc ~ time_var_1 + time_var_2 + time_var_3, data = harmonic_dat) %>%
    step_harmonic(time_var_1, time_var_2, time_var_3, frequency = 4, cycle_size = c(
      86400, 86400)) %>% prep()
Condition
  Error in `step_harmonic()`:
  Caused by error in `prep()`:
  ! `cycle_size` must be length 1 or the same  length as the input columns

harmonic starting_val length

Code
  recipe(osc ~ time_var_1 + time_var_2 + time_var_3, data = harmonic_dat) %>%
    step_harmonic(time_var_1, time_var_2, time_var_3, frequency = 4,
      starting_val = c(86400, 86400), cycle_size = 86400) %>% prep()
Condition
  Error in `step_harmonic()`:
  Caused by error in `prep()`:
  ! `starting_val` must be length 1 or the same  length as the input columns

check_name() is used

Code
  prep(rec, training = dat)
Condition
  Error in `step_harmonic()`:
  Caused by error in `bake()`:
  ! Name collision occured. The following variable names already exists:
  i  mpg_sin_1

empty printing

Code
  rec
Message

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

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

  -- Operations 
  * Harmonic numeric variables 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 
  * Harmonic numeric variables for: <none> | Trained

keep_original_cols - can prep recipes with it missing

Code
  rec <- prep(rec)
Condition
  Warning:
  'keep_original_cols' was added to `step_harmonic()` 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 
  * Harmonic numeric variables for: hp

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 
  * Harmonic numeric variables for: hp | Trained