Computational Statistics

, Volume 24, Issue 2, pp 233–246 | Cite as

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

Original Paper

Abstract

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.

Keywords

Multivariate linear model MANOVA Linear hypotheses Data ellipses Statistical graphics 

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Copyright information

© Springer-Verlag 2008

Authors and Affiliations

  1. 1.Department of SociologyMcMaster UniversityHamiltonCanada
  2. 2.Department of PsychologyYork UniversityTorontoCanada
  3. 3.Department of Mathematics and StatisticsYork UniversityTorontoCanada

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