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Authors: Ignacio González, Sébastien Déjean, Pascal G. P. Martin, Alain Baccini
Title: [download]
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CCA: An R Package to Extend Canonical Correlation Analysis
Reference: Vol. 23, Issue 12, Jan 2008
Submitted 2007-03-20, Accepted 2007-12-04
Type: Article
Abstract:

Canonical correlations analysis (CCA) is an exploratory statistical method to highlight correlations between two data sets acquired on the same experimental units. The cancor() function in R (R Development Core Team 2007) performs the core of computations but further work was required to provide the user with additional tools to facilitate the interpretation of the results. We implemented an R package, CCA, freely available from the Comprehensive R Archive Network (CRAN, http://CRAN.R-project.org/), to develop numerical and graphical outputs and to enable the user to handle missing values. The CCA package also includes a regularized version of CCA to deal with data sets with more variables than units. Illustrations are given through the analysis of a data set coming from a nutrigenomic study in the mouse.

Paper: [download]
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CCA: An R Package to Extend Canonical Correlation Analysis
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Supplements: [download]
(192)
CCA_1.1.tar.gz: R source package
(application/x-gzip, 18.3 KB)
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v23i12.R: R example code from the paper
(text/plain, 946 Bytes)
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