factorize_columns.Rd

% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/preprocess_coldata.R
\name{factorize_columns}
\alias{factorize_columns}
\title{Set Character Columns to Factor}
\usage{
factorize_columns(
  summarized_experiment,
  unnest = T,
  keep_unique = TRUE,
  exception = NULL,
  max_levels = 100,
  factorize_logical = T
)
}
\arguments{
\item{summarized_experiment}{SummarizedExperiment object or a simple data frame}

\item{unnest}{Logical - Should the data be unnested by mmRmeta::unnest_dataframe()}

\item{keep_unique}{Logical - Should columns with unique entries not changed to factors (Because they might be IDs)}

\item{exception}{Character - Column names or part of them that are not factorized}

\item{max_levels}{Integer - Maximum number of levels allowed for a character column to be changed to a factor column}

\item{factorize_logical}{Logical - Should all logical columns be changed to factors?}
}
\value{
Returns the data frame with filtered/ordered columns.
}
\description{
This function changes the columns to factors, excludes columns by name via grep function.
}
\details{
Be aware, even if columns should have unique values because they are IDs doesnt mean that the data set follows the rule. When a character column consist of more than max_levels unique values then this columns
is not changed to a factor column. Also logical columns are changed to factors.
}