Nothing
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.
Getting started
Package overview
Eigenvalues and Eigenvectors: Properties"
Eigenvalues: Spectral Decomposition"
Evaluation of determinants"
Generalized inverse"
Gram-Schmidt Orthogonalization and Regression"
Inverse of a matrix"
Matrix inversion by elementary row operations"
Properties of determinants"
Solving Linear Equations"
Vector Spaces of Least Squares and Linear Equations"
Browse package contents
Package details |
|
|---|---|
| Author | Michael Friendly [aut, cre] (<https://orcid.org/0000-0002-3237-0941>), John Fox [aut], Phil Chalmers [aut], Georges Monette [ctb], Gaston Sanchez [ctb] |
| Maintainer | Michael Friendly <friendly@yorku.ca> |
| License | GPL (>= 2) |
| Version | 0.9.6 |
| URL | https://github.com/friendly/matlib |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the matlib package in your browser
Any scripts or data that you put into this service are public.
