validate_column_names

This function checks a vector of column names to ensure they are valid. It performs the following checks:<ul>
<li>The column names must not be <code>NULL</code>.</li>
<li>The column names must not contain empty strings.</li>
<li>The column names must not contain <code>NA</code> values.</li>
<li>The column names must be unique.</li>
</ul>

Creates a full rank matrix out of a given matrix.
The intended use is for one-hot encoded design matrices that should be used in linear models to ensure that significant associations can be correctly interpreted. However, 'fullRankMatrix' can be applied to any matrix to make it full rank.
It removes columns with only 0's, merges duplicated columns and discovers linearly dependent columns and replaces them with linearly independent columns that span the space of the original columns. Columns are renamed to reflect those modifications.
This results in a full rank matrix that can be used as a design matrix in linear models. The algorithm and some functions are inspired by Kuhn, M. (2008) <doi:10.18637/jss.v028.i05>.

Paula Weidemueller

fullRankMatrix

Generation of Full Rank Design Matrix

Constantin Ahlmann-Eltze

validate_column_names function

<dl><dt>names</dt>
<dd>A character vector of column names to validate.</dd></dl>

Arguments

Validate Column Names — validate_column_names

<dl>

<dt>names</dt>
<dd>A character vector of column names to validate.</dd>

</dl>

validate_column_names: Validate Column Names

Description

Usage

Value

Arguments

Examples