compstable.exe {CAvariants}R Documentation

Polynomial component of inertia for the row and column spaces

Description

This function allows the analyst to compute the contribution of the polynomial components to the inertia (Pearson's chi-squared statistic or the Goodman-Kruskal tau index). The ordered variable should be both the row and column variables that are transformed by the polynomials. The polynomial components are the row and column polynomial components. The given input matrix is the Z matrix of generalised correlations from the bivariate moment decomposition. It is called by CAvariants when catype = "DOCA" or catype = "DONSCA".

Usage

compstable.exe(Z)

Arguments

Z

The matrix of generalised correlations between the polynomial axes.

Value

The value returned is the matrix

comps

The matrix of the polynomial components of the inertia.

Author(s)

Rosaria Lombardo and Eric J. Beh

References

Beh EJ and Lombardo R 2014 Correspondence Analysis: Theory, Practice and New Strategies. Wiley.
Lombardo R Beh EJ 2016 Variants of Simple Correspondence Analysis. The R Journal, 8 (2), 167–184.
Lombardo R Beh EJ and Kroonenberg PM 2016 Modelling Trends in Ordered Correspondence Analysis Using Orthogonal Polynomials. Psychometrika, 81(2), 325–349.


[Package CAvariants version 5.6 Index]