Multivariate Statistical Methods: A Primer provides an introductory
overview of multivariate methods without getting too deep into the
mathematical details. This fourth edition is a revised and updated
version of this bestselling introductory textbook. It retains the
clear and concise style of the previous editions of the book and
focuses on examples from biological and environmental sciences. The
major update with this edition is that R code has been included for
each of the analyses described, although in practice any standard
statistical package can be used. The original idea with this book
still applies. This was to make it as short as possible and enable
readers to begin using multivariate methods in an intelligent
manner. With updated information on multivariate analyses, new
references, and R code included, this book continues to provide a
timely introduction to useful tools for multivariate statistical
analysis.
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