文章基本信息

标题：Simple and Canonical Correspondence Analysis Using the R Package anacor
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作者：Jan de Leeuw ; Patrick Mair
期刊名称：Journal of Statistical Software
印刷版ISSN：1548-7660
电子版ISSN：1548-7660
出版年度：2009
卷号：31
期号：1
页码：1-18
语种：English
出版社：University of California, Los Angeles
摘要：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.