DUMMY

Convert categorical variable to dummy (0/1) coding

coding

Univariate and multivariate methods for compositional data
analysis, based on logratios. The package implements the approach in the
book Compositional Data Analysis in Practice by Michael Greenacre (2018),
where accent is given to simple pairwise logratios. Selection can be made
of logratios that account for a maximum percentage of logratio variance.
Various multivariate analyses of logratios are included in the package.

Michael Greenacre

easyCODA

Compositional Data Analysis in Practice

DUMMY function

<dl> <dt>x</dt>
<dd>Variable (vector) of categorical data to be coded</dd> <dt>catnames</dt>
<dd>Category names</dd></dl>

Arguments

Author

Dummy variable (indicator) coding — DUMMY

<dl>

 <dt>x</dt>
<dd>Variable (vector) of categorical data to be coded</dd>

 <dt>catnames</dt>
<dd>Category names</dd>

</dl>

DUMMY: Dummy variable (indicator) coding

Description

Usage

Arguments

Author

Details

Examples