step_shuffle {recipes} | R Documentation |
step_shuffle
creates a specification of a recipe
step that will randomly change the order of rows for selected
variables.
step_shuffle( recipe, ..., role = NA, trained = FALSE, columns = NULL, skip = FALSE, id = rand_id("shuffle") )
recipe |
A recipe object. The step will be added to the sequence of operations for this recipe. |
... |
One or more selector functions to choose variables
for this step. See |
role |
Not used by this step since no new variables are created. |
trained |
A logical to indicate if the quantities for preprocessing have been estimated. |
columns |
A character string that contains the names of
columns that should be shuffled. These values are not determined
until |
skip |
A logical. Should the step be skipped when the
recipe is baked by |
id |
A character string that is unique to this step to identify it. |
An updated version of recipe
with the new step added to the
sequence of any existing operations.
When you tidy()
this step, a tibble with column
terms
(the columns that will be permuted) is returned.
The underlying operation does not allow for case weights.
Other row operation steps:
step_arrange()
,
step_filter()
,
step_impute_roll()
,
step_lag()
,
step_naomit()
,
step_sample()
,
step_slice()
integers <- data.frame(A = 1:12, B = 13:24, C = 25:36) library(dplyr) rec <- recipe(~ A + B + C, data = integers) %>% step_shuffle(A, B) rand_set <- prep(rec, training = integers) set.seed(5377) bake(rand_set, integers) tidy(rec, number = 1) tidy(rand_set, number = 1)