Correspondence Analysis and Data Coding with Java and R

"Detailed examples of its application to data are drawn from an astonishingly wide variety of fields; astronomy, financial modeling and forecasting, comparisons of prehistoric and modern groups of dogs, ancient goblets and measurements on ancient Egyptian skulls. …All in all this book can be recommended as a succinct reference on all aspects of correspondence analysis, theoretical, computational, and practical."-J.M. Juritz, Short Book Reviews of the ISI"This book plays an important role in bridging the gap between learning a method and actually implementing it . . . could serve as either a text for an introductory course on CA or as a supplementary text to a more advanced graduate course in CA or multivariate techniques in general . . . The author should be commended for bringing these issues to the forefront." – Douglas Steinley, University of Missouri-Columbia, in Psychometrika, March 2007, Vol. 74, No. 1

• Introduction. Theory of Correspondence Analysis. Input Data Coding. Examples and Case Studies. Content Analysis of Text. Concluding Remarks. References. Index