Exploratory Multivariate Analysis by Example Using R, Second Edition focuses on four fundamental methods of multivariate exploratory data analysis that are most suitable for applications. It covers principal component analysis (PCA) when variables are quantitative, correspondence analysis (CA) and multiple correspondence analysis.

Francois Husson, Sebastien Le, Jérôme Pagès

Preface Principal Component Analysis (PCA) Correspondence Analysis (CA) Multiple Correspondence Analysis (MCA) Clustering Visualisation Appendix