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Full Description
Most multivariate analysis books are limited to a basic treatment of canonical variate analysis (CVA), this book provides an extensive and comprehensive treatment of CVA methods along with practical examples, many of which are drawn from the authors own experience. Written at an accessible level, this book explores ideas and methods that are useful for the accurate analysis of data and its resulting interpretations. The theory is illustrated by the analyses of data sets from real life applications and case studies along with R code for performing analyses. Biplot visualisations form an integral part of this book and are illustrated with colour figures to demonstrate the different types of biplots relating to canonical analysis. Manifestations of canonical analysis are also discussed and include canonical correlation, discriminant analysis, multivariate analysis of variance, correspondence analysis and multiple correspondence analysis, and the analysis of dissimilarity matrices.
