date_nearest.md
In extrasteps: More Miscellaneous Steps for the 'recipes' Package

time_event errors

Code
  recipe(~., data = examples) %>% step_date_nearest(numeric, rules = rules) %>%
    prep()
Condition
  Error in `step_date_nearest()`:
  Caused by error in `prep()`:
  ! All variables for `step_date` should be either `Date` or`POSIXct` classes.

Code
  recipe(~., data = examples) %>% step_date_nearest(date1, rules = "wrong") %>%
    prep()
Condition
  Error in `step_date_nearest()`:
  Caused by error in `prep()`:
  ! `rules` must be a named list.

Code
  recipe(~., data = examples) %>% step_date_nearest(date1, rules = list(weekend = on_weekends,
    "Hello")) %>% prep()
Condition
  Error in `step_date_nearest()`:
  Caused by error in `prep()`:
  ! All `rules` must be `rschedule`s from {almanac}

Code
  recipe(~., data = examples) %>% step_date_nearest(date1, rules = list(weekend = on_weekends,
    christmas = "2020-12-25")) %>% prep()
Condition
  Error in `step_date_nearest()`:
  Caused by error in `prep()`:
  ! All `rules` must be `rschedule`s from {almanac}

check_name() is used

Code
  prep(rec, training = dat)
Condition
  Error in `step_date_nearest()`:
  Caused by error in `bake()`:
  ! Name collision occurred. The following variable names already exist:
  * `date1_nearest_weekend`

empty printing

Code
  rec
Message

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

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

  -- Operations 
Output
  Time events from

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 
Output
  Time events from  [trained]

printing

Code
  print(rec)
Message

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

  -- Inputs 
  Number of variables by role
  predictor: 1

  -- Operations 
Output
  Time events from date1

Code
  prep(rec)
Message

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

  -- Inputs 
  Number of variables by role
  predictor: 1

  -- Training information 
  Training data contained 20 data points and no incomplete rows.

  -- Operations 
Output
  Time events from date1 [trained]