matlib: Matrix Functions for Teaching and Learning Linear Algebra and Multivariate Statistics

A collection of matrix functions for teaching and learning matrix linear algebra as used in multivariate statistical methods. These functions are mainly for tutorial purposes in learning matrix algebra ideas using R. In some cases, functions are provided for concepts available elsewhere in R, but where the function call or name is not obvious. In other cases, functions are provided to show or demonstrate an algorithm.

Version: 0.5.2
Imports: rgl
Suggests: MASS, knitr, rmarkdown
Published: 2015-11-19
Author: Michael Friendly [aut, cre], John Fox [ctb], Georges Monette [ctb]
Maintainer: Michael Friendly <friendly at yorku.ca>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/friendly/matlib
NeedsCompilation: no
Materials: README
CRAN checks: matlib results

Downloads:

Reference manual: matlib.pdf
Vignettes: Eigenvalues and Eigenvectors: Properties
Eigenvalues: Spectral Decomposition
Gram-Schmidt Orthogonalization and Regression
Solving Linear Equations
Package source: matlib_0.5.2.tar.gz
Windows binaries: r-devel: matlib_0.5.1.zip, r-release: matlib_0.5.1.zip, r-oldrel: matlib_0.5.1.zip
OS X Snow Leopard binaries: r-release: not available, r-oldrel: not available
OS X Mavericks binaries: r-release: matlib_0.4.1.tgz
Old sources: matlib archive