step_holiday {recipes} | R Documentation |
step_holiday
creates a a specification of a recipe step that
will convert date data into one or more binary indicator variables for
common holidays.
step_holiday(recipe, ..., role = "predictor", trained = FALSE, holidays = c("LaborDay", "NewYearsDay", "ChristmasDay"), columns = NULL)
recipe |
A recipe object. The step will be added to the sequence of operations for this recipe. |
... |
One or more selector functions to choose which variables will be
used to create the new variables. The selected variables should have
class |
role |
For model terms created by this step, what analysis role should they be assigned?. By default, the function assumes that the new variable columns created by the original variables will be used as predictors in a model. |
trained |
A logical to indicate if the quantities for preprocessing have been estimated. |
holidays |
A character string that includes at least one holdiay
supported by the |
columns |
A character string of variables that will be used as
inputs. This field is a placeholder and will be populated once
|
Unlike other steps, step_holiday
does not remove the
original date variables. step_rm
can be used for
this purpose.
An updated version of recipe
with the
new step added to the sequence of existing steps (if any).
step_date
step_rm
recipe
prep.recipe
bake.recipe
listHolidays
library(lubridate) examples <- data.frame(someday = ymd("2000-12-20") + days(0:40)) holiday_rec <- recipe(~ someday, examples) %>% step_holiday(all_predictors()) holiday_rec <- prep(holiday_rec, training = examples) holiday_values <- bake(holiday_rec, newdata = examples) holiday_values