Square Root Transformation

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, ...)

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 which variables will be transformed. See `selections()` for more details. For the `tidy` method, these are not currently used.
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 `terms` argument.
skip	A logical. Should the step be skipped when the recipe is baked by `bake.recipe()`? While all operations are baked when `prep.recipe()` is run, some operations may not be able to be conducted on new data (e.g. processing the outcome variable(s)). Care should be taken when using `skip = TRUE` as it may affect the computations for subsequent operations
id	A character string that is unique to this step to identify it.
x	A `step_sqrt` object.

Value

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.

Examples

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)
#> # A tibble: 1 x 2
#>   terms            id        
#>   <chr>            <chr>     
#> 1 all_predictors() sqrt_IhS7o
tidy(sqrt_obj, number = 1)
#> # A tibble: 2 x 2
#>   terms id        
#>   <chr> <chr>     
#> 1 V1    sqrt_IhS7o
#> 2 V2    sqrt_IhS7o

Arguments

Value

See also

Examples