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Authors: Jan de Leeuw, Patrick Mair
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Gifi Methods for Optimal Scaling in R: The Package homals
Reference: Vol. 31, Issue 4, Aug 2009
Submitted 2008-11-06, Accepted 2009-07-23
Type: Article
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.

Paper: [download]
(7179)
Gifi Methods for Optimal Scaling in R: The Package homals
(application/pdf, 841 KB)
Supplements: [download]
(844)
homals_1.0-0.tar.gz: R source package
(application/x-gzip, 390.4 KB)
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v31i04.R: R example code from the paper
(application/zip, 1.2 KB)
Resources: BibTeX | OAI
Creative Commons License
This work is licensed under the licenses
Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3)
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