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, skip = FALSE, id = rand_id("sqrt") ) # S3 method for 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 populated (eventually) by the |
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 |
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.
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)#> # A tibble: 1 x 2 #> terms id #> <chr> <chr> #> 1 all_predictors() sqrt_IhS7o#> # A tibble: 2 x 2 #> terms id #> <chr> <chr> #> 1 V1 sqrt_IhS7o #> 2 V2 sqrt_IhS7o