--- a
+++ b/man/dummy_cols.Rd
@@ -0,0 +1,56 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/auxiliary.R
+\name{dummy_cols}
+\alias{dummy_cols}
+\title{Fast creation of dummy variables}
+\usage{
+dummy_cols(
+  .data,
+  select_columns = NULL,
+  remove_first_dummy = FALSE,
+  remove_most_frequent_dummy = FALSE,
+  ignore_na = FALSE,
+  split = NULL,
+  remove_selected_columns = FALSE,
+  omit_colname_prefix = FALSE
+)
+}
+\arguments{
+\item{.data}{An object with the data set you want to make dummy columns from.}
+
+\item{select_columns}{Vector of column names that you want to create dummy variables from.
+If NULL (default), uses all character and factor columns.}
+
+\item{remove_first_dummy}{Removes the first dummy of every variable such that only n-1 dummies remain.
+This avoids multicollinearity issues in models.}
+
+\item{remove_most_frequent_dummy}{Removes the most frequently observed category such that only n-1 dummies
+remain. If there is a tie for most frequent, will remove the first
+(by alphabetical order) category that is tied for most frequent.}
+
+\item{ignore_na}{If TRUE, ignores any NA values in the column. If FALSE (default), then it
+will make a dummy column for value_NA and give a 1 in any row which has a
+NA value.}
+
+\item{split}{A string to split a column when multiple categories are in the cell. For
+example, if a variable is Pets and the rows are "cat", "dog", and "turtle",
+each of these pets would become its own dummy column. If one row is "cat, dog",
+then a split value of "," this row would have a value of 1 for both the cat
+and dog dummy columns.}
+
+\item{remove_selected_columns}{If TRUE (not default), removes the columns used to generate the dummy columns.}
+
+\item{omit_colname_prefix}{If TRUE (not default) and `length(select_columns) == 1`, omit pre-pending the
+name of `select_columns` to the names of the newly generated dummy columns}
+}
+\value{
+A data.frame (or tibble or data.table, depending on input data type) with
+same number of rows as inputted data and original columns plus the newly
+created dummy columns.
+}
+\description{
+Quickly create dummy (binary) columns from character and
+factor type columns in the inputted data (and numeric columns if specified.)
+This function is useful for statistical analysis when you want binary
+columns rather than character columns. Adapted from the \code{fastDummies} package (https://jacobkap.github.io/fastDummies/)
+}