Rename variables by name using dplyr
step_rename creates a specification of a recipe step that will add
variables using dplyr::rename().
step_rename(
recipe,
...,
role = "predictor",
trained = FALSE,
inputs = NULL,
skip = FALSE,
id = rand_id("rename")
)
## S3 method for class 'step_rename'
tidy(x, ...)
## S3 method for class 'step_rename_at'
tidy(x, ...)recipe |
A recipe object. The step will be added to the sequence of operations for this recipe. |
... |
One or more unquoted expressions separated by commas. See
|
role |
For model terms created by this step, what analysis role should they be assigned? By default, the function assumes that the new dimension 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. |
inputs |
Quosure(s) of |
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. |
x |
A |
When an object in the user's global environment is referenced in
the expression defining the new variable(s), it is a good idea to use
quasiquotation (e.g. !!) to embed the value of the object in the
expression (to be portable between sessions).
An updated version of recipe with the new step added to the
sequence of existing steps (if any). For the tidy method, a tibble with
columns values which contains the rename expressions as character
strings (and are not reparsable).
recipe( ~ ., data = iris) %>% step_rename(Sepal_Width = Sepal.Width) %>% prep() %>% bake(new_data = NULL) %>% slice(1:5) vars <- c(var1 = "cyl", var2 = "am") car_rec <- recipe(~ ., data = mtcars) %>% step_rename(!!vars) car_rec %>% prep() %>% bake(new_data = NULL) car_rec %>% tidy(number = 1)
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