heplots-package: Visualizing Tests in Multivariate Linear Models
Description
The heplots package provides functions for visualizing hypothesis tests
in multivariate linear models (MANOVA, multivariate multiple regression, MANCOVA, etc.). 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
ll{
Package: heplots
Type: Package
Version: 0.8-11
Date: 2009-12-08
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.
heplot1d constructs 1-dimensional analogs of HE plots for model terms and
linear hypotheses for single response variables
The related car-package package calculates tests of multivariate
linear hypotheses using the Anova and linear.hypothesis
functions.
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.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