step_mutate_at | R Documentation |
step_mutate_at()
creates a specification of a recipe step that will
modify the selected variables using a common function via
dplyr::mutate_at()
.
step_mutate_at(
recipe,
...,
fn,
role = "predictor",
trained = FALSE,
inputs = NULL,
skip = FALSE,
id = rand_id("mutate_at")
)
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 fun, a quosure style lambda '~ fun(.)“ or a list of
either form. (see |
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. |
When using this flexible step, use extra care to avoid data leakage in your
preprocessing. Consider, for example, the transformation x = w > mean(w)
.
When applied to new data or testing data, this transformation would use the
mean of w
from the new data, not the mean of w
from the training data.
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 multivariate transformation steps:
step_classdist()
,
step_classdist_shrunken()
,
step_depth()
,
step_geodist()
,
step_ica()
,
step_isomap()
,
step_kpca()
,
step_kpca_poly()
,
step_kpca_rbf()
,
step_nnmf()
,
step_nnmf_sparse()
,
step_pca()
,
step_pls()
,
step_ratio()
,
step_spatialsign()
Other dplyr steps:
step_arrange()
,
step_filter()
,
step_mutate()
,
step_rename()
,
step_rename_at()
,
step_sample()
,
step_select()
,
step_slice()
library(dplyr)
recipe(~., data = iris) %>%
step_mutate_at(contains("Length"), fn = ~ 1 / .) %>%
prep() %>%
bake(new_data = NULL) %>%
slice(1:10)
recipe(~., data = iris) %>%
# leads to more columns being created.
step_mutate_at(contains("Length"), fn = list(log = log, sqrt = sqrt)) %>%
prep() %>%
bake(new_data = NULL) %>%
slice(1:10)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.