solve_svd: Pseudoinverse of a square matrix
In metan: Multi Environment Trials Analysis
solve_svd R Documentation
Pseudoinverse of a square matrix
Description
![[Stable]](../help/figures/lifecycle-stable.svg)
This function computes the Moore-Penrose pseudoinverse of a square matrix
using singular value decomposition.
Usage
solve_svd(x, tolerance = 2.220446e-16)
Arguments
x
A square matrix
tolerance
The tolerance to consider an eigenvalue equals to zero.
Value
A matrix with the same dimension of x.
Author(s)
Tiago Olivoto, tiagoolivoto@gmail.com
Examples
library(metan)
mat <- matrix(c(1, 4, 2, 8), ncol = 2)
det(mat)
solve_svd(mat)
metan documentation built on March 7, 2023, 5:34 p.m.
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| solve_svd | R Documentation |
Pseudoinverse of a square matrix
Description
This function computes the Moore-Penrose pseudoinverse of a square matrix using singular value decomposition.
Usage
solve_svd(x, tolerance = 2.220446e-16)
Arguments
x |
A square matrix |
tolerance |
The tolerance to consider an eigenvalue equals to zero. |
Value
A matrix with the same dimension of x.
Author(s)
Tiago Olivoto, tiagoolivoto@gmail.com
Examples
library(metan) mat <- matrix(c(1, 4, 2, 8), ncol = 2) det(mat) solve_svd(mat)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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