Published by the Foundation for Open Access Statistics Editors-in-chief: Bettina Grün, Torsten Hothorn, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
Authors: Jan de Leeuw, Patrick Mair
Title: Gifi Methods for Optimal Scaling in R: The Package homals
Abstract: Homogeneity analysis combines the idea of maximizing the correlations between variables of a multivariate data set with that of optimal scaling. In this article we present methodological and practical issues of the R package homals which performs homogeneity analysis and various extensions. By setting rank constraints nonlinear principal component analysis can be performed. The variables can be partitioned into sets such that homogeneity analysis is extended to nonlinear canonical correlation analysis or to predictive models which emulate discriminant analysis and regression models. For each model the scale level of the variables can be taken into account by setting level constraints. All algorithms allow for missing values.

Page views:: 13434. Submitted: 2008-11-06. Published: 2009-08-04.
Paper: Gifi Methods for Optimal Scaling in R: The Package homals     Download PDF (Downloads: 18783)
homals_1.0-0.tar.gz: R source package Download (Downloads: 1156; 390KB) v31i04.R: R example code from the paper Download (Downloads: 1171; 1KB)

DOI: 10.18637/jss.v031.i04

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Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.