heplots-package {heplots} | R Documentation |
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.
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.
John Fox, Michael Friendly, and Georges Monette
Maintainer: John Fox <jfox@mcmaster.ca>
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