step_shuffle | 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 of the selected variable names. This field
is a placeholder and will be populated once |
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 is returned with
columns terms
and id
:
character, the selectors or variables selected
character, id of this step
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)
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