Visualizing hypothesis tests in multivariate linear models: the heplots package for R

• DOI: 10.1007/s00180-008-0120-1
• Publication Date: 2008-05-14T08:48:32Z
• Authors: John Fox; Michael Friendly; Georges Monette
• Keywords: Ellipse; R package; Multidimensional scaling

Hypothesis-error (or “HE”) plots, introduced by Friendly (J Stat Softw 17(6):1–42, 2006a; J Comput Graph Stat 16:421–444, 2006b), permit the visualization of hypothesis tests in multivariate linear models by representing hypothesis and error matrices of sums of squares and cross-products as ellipses. This paper describes the implementation of these methods in the heplots package for R, as well as their extension, for example from two to three dimensions and by scaling hypothesis ellipses and ellipsoids in a natural manner relative to error.