step_factor2string
will convert one or more factor
vectors to strings.
step_factor2string( recipe, ..., role = NA, trained = FALSE, columns = FALSE, skip = FALSE, id = rand_id("factor2string") ) # S3 method for step_factor2string 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 converted to strings. 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 variables that will be
converted. This is |
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).
prep
has an option strings_as_factors
that
defaults to TRUE
. If this step is used with the default
option, the string(s() produced by this step will be converted
to factors after all of the steps have been prepped.
library(modeldata) data(okc) rec <- recipe(~ diet + location, data = okc) rec <- rec %>% step_string2factor(diet) factor_test <- rec %>% prep(training = okc, strings_as_factors = FALSE) %>% juice # diet is a class(factor_test$diet)#> [1] "factor"rec <- rec %>% step_factor2string(diet) string_test <- rec %>% prep(training = okc, strings_as_factors = FALSE) %>% juice # diet is a class(string_test$diet)#> [1] "character"#> # A tibble: 1 x 3 #> terms ordered id #> <chr> <lgl> <chr> #> 1 diet FALSE string2factor_fCgON