mcafun

This function is used in the secondary function <code>mcabasic</code> when 
the input parameter of <code>MCAvariants</code> is <code>catype="mca"</code>. 
It performs the singular value decomposition of the weighted super-indicator matrix and
compute principal axes, coordinates, weights of rows and columns and
total inertia.

multivariate

Provides two variants of multiple correspondence analysis (ca):
multiple ca and ordered multiple ca via orthogonal polynomials of Emerson.

Rosaria Lombardo

MCAvariants

Multiple Correspondence Analysis Variants

mcafun function

<dl> <dt>XO</dt>
<dd>The super-indicator data table.</dd> <dt>Burt</dt>
<dd>The Burt data table.</dd> <dt>np</dt>
<dd>The number of categorical variables.</dd> <dt>idr</dt>
<dd>The row labels of data table.</dd> <dt>idc</dt>
<dd>The column labels of data table.</dd> <dt>nmod</dt>
<dd>The category number of each variable.</dd></dl>

Arguments

Author


Classical multiple correspondence analysis — mcafun

<dl>

 <dt>XO</dt>
<dd>The super-indicator data table.</dd>

 <dt>Burt</dt>
<dd>The Burt data table.</dd>

 <dt>np</dt>
<dd>The number of categorical variables.</dd>

 <dt>idr</dt>
<dd>The row labels of data table.</dd>

 <dt>idc</dt>
<dd>The column labels of data table.</dd>

 <dt>nmod</dt>
<dd>The category number of each variable.</dd>

</dl>

mcafun: Classical multiple correspondence analysis

Description

Usage

Arguments

Author

References