diff --git a/man/fix_type_to_factor.Rd b/man/fix_type_to_factor.Rd
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+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/app_helper_data_raw_cleaning.R
+\name{fix_type_to_factor}
+\alias{fix_type_to_factor}
+\title{Convert Specified Variables in a Dataset to Factors}
+\usage{
+fix_type_to_factor(data_set, list_vars)
+}
+\arguments{
+\item{data_set}{A data frame or similar object containing the variables to be
+converted to factors.}
+
+\item{list_vars}{A named list where each name corresponds to a variable in
+`data_set` that should be converted to a factor. The value for each name
+should be a logical value (`TRUE` or `FALSE`), indicating whether the
+resulting factor should be ordered (`TRUE` for ordered, `FALSE` for
+unordered).}
+}
+\value{
+The modified `data_set` with specified variables converted to factors.
+  If a variable is designated to be an ordered factor, it is converted
+  accordingly.
+}
+\description{
+This function iteratively converts specified variables within a dataset to
+factors. For each variable specified, it can also designate the factor as
+ordered based on a corresponding logical vector. The function operates on a
+dataset (data frame or similar structure) and takes a named list where names
+correspond to variables in the dataset and values are logical, indicating
+whether the factor should be ordered.
+}
+\details{
+The function iterates over the `list_vars` names, checking each
+  corresponding variable in `data_set`. If the variable exists, it is
+  converted to a factor with the `ordered` parameter set as specified in
+  `list_vars`. Variables not found in `data_set` are skipped without error.
+  This allows for flexible data cleaning and preprocessing, especially when
+  preparing data for statistical analysis or machine learning models where
+  factor variables may be required.
+}