compsonetable.exe

This function allows the analyst to compute the contribution that the polynomial components make to the inertia 
(Pearson's chi-squared statistic or the Goodman-Kruskal tau index).
The ordered variable should be the column variable that is transformed by polynomials.
The polynomial components are the column polynomial components. 
The given input matrix is the Z matrix of generalised correlations from the hybrid decomposition.
It is called by <code>CAvariants</code> when <code>catype = "SOCA"</code> or <code>catype = "SONSCA"</code>.

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

compsonetable.exe function

<dl><dt>Z</dt>
<dd>The matrix of generalised correlations between the polynomial and principal axes.</dd></dl>

Arguments

Author

Polynomial component of inertia in column space — compsonetable.exe

<dl>

<dt>Z</dt>
<dd>The matrix of generalised correlations between the polynomial and principal axes.</dd>

</dl>

compsonetable.exe: Polynomial component of inertia in column space

Description

Usage

Value

Arguments

Author

References