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Simple and Canonical Correspondence Analysis Using theRPackageanacor
Author(s) -
Jan de Leeuw,
Patrick Mair
Publication year - 2009
Publication title -
journal of statistical software
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 7.636
H-Index - 145
ISSN - 1548-7660
DOI - 10.18637/jss.v031.i05
Subject(s) - simple (philosophy) , row , scaling , mathematics , table (database) , correspondence analysis , computation , canonical analysis , centroid , transformation (genetics) , canonical correlation , canonical form , combinatorics , statistics , computer science , algorithm , pure mathematics , geometry , data mining , philosophy , epistemology , biochemistry , chemistry , database , gene
This paper presents the R package anacor for the computation of simple and canonical correspondence analysis with missing values. The canonical correspondence analysis is specied 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, Benz ecri, centroid, and Goodman scaling. In addition, along with well-known two- and three-dimensional joint plots including condence ellipsoids, it oers alternative plotting possibilities in terms of transformation plots, Benz ecri plots, and regression plots.

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