The examples in this post demonstrate several multivariate techniques applied to two biological datasets. For more information on RStudio, see RStudio as a Research and Writing Platform. R can be run either by itself, as a standalone application, or inside of RStudio, a free, cross-platform integrated development environment. R is a free, open-source, cross-platform programming language and computing environment for statistical and graphical analysis that can be obtained from To get started with R, see An Introduction to R. This post assumes that the reader has a basic familiarity with the R language. In particular, the fourth edition of the text introduces R code for performing all of the analyses, making it an even more excellent reference than the previous three editions. One of the best introductory books on this topic is Multivariate Statistical Methods: A Primer, by Bryan Manly and Jorge A. Multivariate analysis is that branch of statistics concerned with examination of several variables simultaneously. Multivariate Statistical Methods: A Primer, fourth edition (2017) At some time or another, most users of statistics find themselves sitting in front of a large pile of computer output with the realization that it tells them nothing that they really want to know.
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