Multivariate analysis is that branch of statistics concerned with examination of several variables simultaneously. This post demonstrates the practical application of several multivariate techniques, using the R programming language and computing environment. Topics include ecological and geographic distance matrices, cluster analysis, the Mantel test, multidimensional scaling, principle components analysis, and discriminant function analysis.

The main body of this post is hosted on GitHub Pages. To read the full post, click this link: Multivariate Analysis with R.