Quotation de Leeuw, Jan, Mair, Patrick. 2009. Gifi methods for optimal scaling in R: The package homals. Journal of Statistical Software 31 (4): 1-21.


RIS


BibTeX

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.

Tags

Press 'enter' for creating the tag

Publication's profile

Status of publication Published
Affiliation WU
Type of publication Journal article
Journal Journal of Statistical Software
Citation Index SCI
WU-Journal-Rating new FIN-A
Language English
Title Gifi methods for optimal scaling in R: The package homals
Volume 31
Number 4
Year 2009
Page from 1
Page to 21
URL http://www.jstatsoft.org/v31/i04

Associations

People
Mair, Patrick (Former researcher)
External
de Leeuw, Jan
Organization
Institute for Statistics and Mathematics IN (Details)
Google Scholar: Search