Published by the Foundation for Open Access Statistics Editors-in-chief: Bettina Grün, Torsten Hothorn, Rebecca Killick, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
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Authors: Jan de Leeuw, Patrick Mair
Title: Simple and Canonical Correspondence Analysis Using the R Package anacor
Abstract: This paper presents the R package anacor for the computation of simple and canonical correspondence analysis with missing values. The canonical correspondence analysis is specified in a rather general way by imposing covariates on the rows and/or the columns of the two-dimensional frequency table. The package allows for scaling methods such as standard, Benzécri, centroid, and Goodman scaling. In addition, along with well-known two- and three-dimensional joint plots including confidence ellipsoids, it offers alternative plotting possibilities in terms of transformation plots, Benzécri plots, and regression plots.

Page views:: 10678. Submitted: 2008-11-25. Published: 2009-08-04.
Paper: Simple and Canonical Correspondence Analysis Using the R Package anacor     Download PDF (Downloads: 16824)
Supplements:
anacor_1.0-0.tar.gz: R source package Download (Downloads: 1147; 280KB)
v31i05.R.zip: v31i05.R: R example code from the paper Download (Downloads: 1055; 912B)
DOI: 10.18637/jss.v031.i05

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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.