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. In addition, a collection of functions are provided for drawing vector diagrams in 2D and 3D.
- Version1.0.0
- R versionunknown
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- Languageen-US
- Last release10/02/2024
Documentation
- VignetteVector Spaces of Least Squares and Linear Equations
- Vignettesource
- VignetteR code
- VignetteProperties of determinants
- Vignettesource
- VignetteR code
- VignetteEvaluation of determinants
- Vignettesource
- VignetteR code
- VignetteEigenvalues and Eigenvectors: Properties
- Vignettesource
- VignetteR code
- VignetteEigenvalues: Spectral Decomposition
- Vignettesource
- VignetteR code
- VignetteGeneralized inverse
- Vignettesource
- VignetteR code
- VignetteGram-Schmidt Orthogonalization and Regression
- Vignettesource
- VignetteR code
- VignetteLinear transformations and matrix inverse in 3D
- Vignettesource
- VignetteR code
- VignetteInverse of a matrix
- Vignettesource
- VignetteR code
- VignetteMatrix inversion by elementary row operations
- Vignettesource
- VignetteR code
- VignetteLaTeX Equations with latexMatrix, Eqn and matrix2latex
- Vignettesource
- VignetteR code
- VignetteSolving Linear Equations
- Vignettesource
- VignetteR code
- MaterialNEWS
- In ViewsNumericalMathematics
Team
Michael Friendly
John Fox
Phil Chalmers
Georges Monette
Gaston Sanchez
Show author detailsRolesContributor
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- Imports9 packages
- Suggests5 packages
- Reverse Imports9 packages