Simple and Canonical Correspondence Analysis Using the R Package anacor
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. T...
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ndltd-VIENNA-oai-epub.wu-wien.ac.at-50202017-09-21T05:22:52Z Simple and Canonical Correspondence Analysis Using the R Package anacor de Leeuw, Jan Mair, Patrick anacor / correspondence analysis / canonical correspondence analysis / R 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. Foundation for Open Access Statistics 2009-08-04 Article PeerReviewed en application/pdf http://epub.wu.ac.at/5020/1/deLeeuw_Mair_2009_JSS_Simple%2Dand%2DCanonical%2DCorrespondence.pdf https://www.jstatsoft.org/article/view/v031i05 http://www.foastat.org/ https://www.jstatsoft.org/about/editorialPolicies#openAccessPolicy http://dx.doi.org/10.18637/jss.v031.i05 http://epub.wu.ac.at/5020/ |
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en |
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anacor / correspondence analysis / canonical correspondence analysis / R |
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anacor / correspondence analysis / canonical correspondence analysis / R de Leeuw, Jan Mair, Patrick Simple and Canonical Correspondence Analysis Using the R Package anacor |
description |
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. |
author |
de Leeuw, Jan Mair, Patrick |
author_facet |
de Leeuw, Jan Mair, Patrick |
author_sort |
de Leeuw, Jan |
title |
Simple and Canonical Correspondence Analysis Using the R Package anacor |
title_short |
Simple and Canonical Correspondence Analysis Using the R Package anacor |
title_full |
Simple and Canonical Correspondence Analysis Using the R Package anacor |
title_fullStr |
Simple and Canonical Correspondence Analysis Using the R Package anacor |
title_full_unstemmed |
Simple and Canonical Correspondence Analysis Using the R Package anacor |
title_sort |
simple and canonical correspondence analysis using the r package anacor |
publisher |
Foundation for Open Access Statistics |
publishDate |
2009 |
url |
http://epub.wu.ac.at/5020/1/deLeeuw_Mair_2009_JSS_Simple%2Dand%2DCanonical%2DCorrespondence.pdf http://dx.doi.org/10.18637/jss.v031.i05 |
work_keys_str_mv |
AT deleeuwjan simpleandcanonicalcorrespondenceanalysisusingtherpackageanacor AT mairpatrick simpleandcanonicalcorrespondenceanalysisusingtherpackageanacor |
_version_ |
1718539790505213952 |