Hyperbolic Transformations
step_hyperbolic creates a specification of a
recipe step that will transform data using a hyperbolic
function.
step_hyperbolic(
recipe,
...,
role = NA,
trained = FALSE,
func = "sin",
inverse = TRUE,
columns = NULL,
skip = FALSE,
id = rand_id("hyperbolic")
)
## S3 method for class 'step_hyperbolic'
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 are affected by the step. 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. |
func |
A character value for the function. Valid values are "sin", "cos", or "tan". |
inverse |
A logical: should the inverse function be used? |
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 (the
columns that will be affected), inverse, and func.
set.seed(313)
examples <- matrix(rnorm(40), ncol = 2)
examples <- as.data.frame(examples)
rec <- recipe(~ V1 + V2, data = examples)
cos_trans <- rec %>%
step_hyperbolic(all_numeric_predictors(),
func = "cos", inverse = FALSE)
cos_obj <- prep(cos_trans, training = examples)
transformed_te <- bake(cos_obj, examples)
plot(examples$V1, transformed_te$V1)
tidy(cos_trans, number = 1)
tidy(cos_obj, number = 1)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.