Supplementary Materials for Visualizing Tests for Equality of Covariance Matrices
This page is intended to serve as an accompaniment to a paper prepared by Dr. Michael Friendly (@friendly) and Matthew Sigal (@mattsigal). The article pertains to the testing for equality of and visualization of covariance matrices in multivariate designs.
R
code is provided throughout the article with commentary, and is provided here in fully reproducible form. The code is divided into 4 files: one for each primary example, and one for the work with betadisper()
.
Dataset/Topic | R Script | Rendered HTML |
---|---|---|
Iris | iris-ex.R | iris-ex.html |
Wine | wine-ex.R | wine-ex.html |
Skulls | skulls-ex.R | skulls-ex.html |
betadisper | betadisp-ex.R | betadisp-ex.html |
Questions and commentary can be directed to either @friendly or @mattsigal.