step_rename_at {recipes} | R Documentation |
Rename multiple columns using dplyr
Description
step_rename_at()
creates a specification of a recipe step that will
rename the selected variables using a common function via
dplyr::rename_at()
.
Usage
step_rename_at(
recipe,
...,
fn,
role = "predictor",
trained = FALSE,
inputs = NULL,
skip = FALSE,
id = rand_id("rename_at")
)
Arguments
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 |
fn |
A function |
role |
For model terms created by this step, what analysis role should they be assigned? By default, the new columns created by this step from the original variables will be used as predictors in a model. |
trained |
A logical to indicate if the quantities for preprocessing have been estimated. |
inputs |
A vector of column names populated by |
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. |
Value
An updated version of recipe
with the new step added to the
sequence of any existing operations.
Tidying
When you tidy()
this step, a tibble is returned with
columns terms
and id
:
- terms
character, the selectors or variables selected
- id
character, id of this step
Case weights
The underlying operation does not allow for case weights.
See Also
Other dplyr steps:
step_arrange()
,
step_filter()
,
step_mutate()
,
step_mutate_at()
,
step_rename()
,
step_sample()
,
step_select()
,
step_slice()
Examples
library(dplyr)
recipe(~., data = iris) %>%
step_rename_at(all_predictors(), fn = ~ gsub(".", "_", ., fixed = TRUE)) %>%
prep() %>%
bake(new_data = NULL) %>%
slice(1:10)