docabasic

This function is used by the main function <code>CAvariants</code> when the input parameter is <code>catype = "DOCA"</code>. 
It performs the bivariate moment decomposition of the Pearson ratio, 
computes polynomial axes, coordinates, weights of rows and columns, total inertia (based on Pearson's chi-squared statistic), the rank of the matrix. 
It also decomposes the inertia into row and column polynomial components.

 ~multivariate 

Provides six variants of two-way correspondence analysis (ca):
simple ca, singly ordered ca, doubly ordered ca, non symmetrical ca,
singly ordered non symmetrical ca, and doubly ordered non symmetrical
ca.

Rosaria Lombardo

CAvariants

Correspondence Analysis Variants

docabasic function

<dl><dt>Xtable</dt>
<dd>The two-way contingency table.</dd><dt>mi</dt>
<dd>The set of ordered row scores. By default, <code>mi = c(1:nrow(Xtable)) (natural scores).</code></dd><dt>mj</dt>
<dd>The set of ordered column scores. By default, <code>mj = c(1:ncol(Xtable)) (natural scores).</code></dd></dl>

Arguments

Author

Doubly, or two-way, ordered correspondence analysis: for two ordered variables — docabasic

<dl>

<dt>Xtable</dt>
<dd>The two-way contingency table.</dd>

<dt>mi</dt>
<dd>The set of ordered row scores. By default, <code>mi = c(1:nrow(Xtable)) (natural scores).</code></dd>

<dt>mj</dt>
<dd>The set of ordered column scores. By default, <code>mj = c(1:ncol(Xtable)) (natural scores).</code></dd>

</dl>

docabasic: Doubly, or two-way, ordered correspondence analysis: for two ordered variables

Description

Usage

Arguments

Author

References

Examples