% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/factor2string.R
\name{step_factor2string}
\alias{step_factor2string}
\title{Convert Factors to Strings}
\usage{
step_factor2string(
  recipe,
  ...,
  role = NA,
  trained = FALSE,
  columns = FALSE,
  skip = FALSE,
  id = rand_id("factor2string")
)
}
\arguments{
\item{recipe}{A recipe object. The step will be added to the
sequence of operations for this recipe.}

\item{...}{One or more selector functions to choose variables
for this step. See \code{\link[=selections]{selections()}} for more details.}

\item{role}{Not used by this step since no new variables are
created.}

\item{trained}{A logical to indicate if the quantities for
preprocessing have been estimated.}

\item{columns}{A character string of variables that will be
converted. This is \code{NULL} until computed by
\code{\link[=prep.recipe]{prep.recipe()}}.}

\item{skip}{A logical. Should the step be skipped when the
recipe is baked by \code{\link[=bake.recipe]{bake.recipe()}}? While all operations are baked
when \code{\link[=prep.recipe]{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 \code{skip = TRUE} as it may affect
the computations for subsequent operations.}

\item{id}{A character string that is unique to this step to identify it.}
}
\value{
An updated version of \code{recipe} with the new step added to the
sequence of any existing operations.
}
\description{
\code{step_factor2string} will convert one or more factor
vectors to strings.
}
\details{
\code{prep} has an option \code{strings_as_factors} that
defaults to \code{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.

When you \code{\link[=tidy]{tidy()}} this step, a tibble with columns \code{terms} (the
columns that will be affected) is returned.
}
\examples{
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)

rec <- rec \%>\%
  step_factor2string(diet)

string_test <- rec \%>\%
  prep(training = okc,
       strings_as_factors = FALSE) \%>\%
  juice
# diet is a
class(string_test$diet)

tidy(rec, number = 1)
}
\seealso{
Other dummy variable and encoding steps: 
\code{\link{step_bin2factor}()},
\code{\link{step_count}()},
\code{\link{step_date}()},
\code{\link{step_dummy_multi_choice}()},
\code{\link{step_dummy}()},
\code{\link{step_holiday}()},
\code{\link{step_indicate_na}()},
\code{\link{step_integer}()},
\code{\link{step_novel}()},
\code{\link{step_num2factor}()},
\code{\link{step_ordinalscore}()},
\code{\link{step_other}()},
\code{\link{step_regex}()},
\code{\link{step_relevel}()},
\code{\link{step_string2factor}()},
\code{\link{step_unknown}()},
\code{\link{step_unorder}()}
}
\concept{dummy variable and encoding steps}
