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. Many of these functions are
designed 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. In addition, a collection of functions are
provided for drawing vector diagrams in 2D and 3D and for rendering matrix
expressions and equations in LaTeX.
Version:
1.0.1
Depends:
R (≥ 4.2.0)
Published:
2025年10月09日
Maintainer:
Michael Friendly <friendly at yorku.ca>
NeedsCompilation:
no
Language:
en-US
Documentation:
Vignettes:
1. Properties of determinants (
source,
R code)
2. Evaluation of determinants (
source,
R code)
3. Inverse of a matrix (
source,
R code)
4. Matrix inversion by elementary row operations (
source,
R code)
5. Generalized inverse (
source,
R code)
6. Linear transformations and matrix inverse in 3D (
source,
R code)
7. Eigenvalues and Eigenvectors: Properties (
source,
R code)
8. Eigenvalues: Spectral Decomposition (
source,
R code)
9. Solving Linear Equations (
source,
R code)
10. Gram-Schmidt Orthogonalization and Regression (
source,
R code)
11. Vector Spaces of Least Squares and Linear Equations (
source,
R code)
LaTeX Equations with latexMatrix, Eqn and matrix2latex (
source,
R code)
Downloads:
Reverse dependencies:
Reverse imports:
biplotbootGUI,
BTIME,
DIDmultiplegtDYN,
ETRep,
hyperoverlap,
IOLS,
MVSKmod,
panelSUR,
RMCDA,
smallstuff,
SurprisalAnalysis,
VIRF
Linking:
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https://CRAN.R-project.org/package=matlib
to link to this page.