heplots-package {heplots}R Documentation

Visualizing Tests in Multivariate Linear Models

Description

The heplots package provides functions for visualizing hypothesis tests in multivariate linear models. They represent sums-of-squares-and-products matrices for linear hypotheses and for error using ellipses (in two dimensions) and ellipsoids (in three dimensions). See Fox, Friendly and Monette (2007) for a brief introduction.

Details

Package: heplots
Type: Package
Version: 0.8-4
Date: 2008-11-17
License: GPL version 2 or newer

The graphical functions contained here all display multivariate model effects in variable space:

  • heplot constructs two-dimensional HE plots for model terms and linear hypotheses for pairs of response variables in multivariate linear models.
  • heplot3d constructs analogous 3D plots for triples of response variables.
  • pairs.mlm constructs a ``matrix'' of pairwise HE plots.

    The related car-package package calculates tests of multivariate linear hypotheses. The candisc-package package provides functions for visualizing effects for model terms in a low-dimensional canonical space that shows the largest hypothesis relative to error variation.

    Author(s)

    John Fox, Michael Friendly, and Georges Monette

    Maintainer: John Fox <jfox@mcmaster.ca>

    References

    Friendly, M. (2006). Data Ellipses, HE Plots and Reduced-Rank Displays for Multivariate Linear Models: SAS Software and Examples Journal of Statistical Software, 17(6), 1-42. http://www.jstatsoft.org/v17/i06/

    Friendly, M. (2007). HE plots for Multivariate General Linear Models. Journal of Computational and Graphical Statistics, 16(2) 421-444. http://www.math.yorku.ca/SCS/Papers/jcgs-heplots.pdf

    Fox, J., Friendly, M. & Monette, G. (2007). Visual hypothesis tests in multivariate linear models: The heplots package for R. DSC 2007: Directions in Statistical Computing. http://socserv.socsci.mcmaster.ca/jfox/heplots-dsc-paper.pdf

    See Also

    Anova, linear.hypothesis


    [Package heplots version 0.8-4 Index]