step_sqrt {recipes} | R Documentation |
step_sqrt
creates a specification of a recipe
step that will square root transform the data.
step_sqrt(recipe, ..., role = NA, trained = FALSE, columns = NULL) ## S3 method for class 'step_sqrt' tidy(x, ...)
recipe |
A recipe object. The step will be added to the sequence of operations for this recipe. |
... |
One or more selector functions to choose which
variables will be transformed. 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 variable names that will
be (eventually) populated by the |
x |
A |
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 terms
which
is the columns that will be affected.
step_logit()
step_invlogit()
step_log()
step_hyperbolic()
recipe()
prep.recipe()
bake.recipe()
set.seed(313) examples <- matrix(rnorm(40)^2, ncol = 2) examples <- as.data.frame(examples) rec <- recipe(~ V1 + V2, data = examples) sqrt_trans <- rec %>% step_sqrt(all_predictors()) sqrt_obj <- prep(sqrt_trans, training = examples) transformed_te <- bake(sqrt_obj, examples) plot(examples$V1, transformed_te$V1) tidy(sqrt_trans, number = 1) tidy(sqrt_obj, number = 1)