matrix_rank: Matrix Rank

In ramify: Additional Matrix Functionality

Matrix Rank

Description

Compute the rank of a matrix using the singular value decomposition (SVD) method.

Usage

matrix_rank(x, tol)

## Default S3 method:
matrix_rank(x, tol)

## S3 method for class 'matrix'
matrix_rank(x, tol)

## S3 method for class 'data.frame'
matrix_rank(x, tol)

Arguments

x	A matrix.
tol	Threshold below which SVD values are considered zero.

Details

The singular value decomposition (SVD) method simply computes the SVD of x and returns the number of singular values of x that are greater than tol. See Matrix::rankMatrix() for alternative methods.

Examples

matrix_rank(1:5)
matrix_rank(randn(2, 2))
matrix_rank(cbind(c(1, 1, 1), c(2, 2, 2)))
matrix_rank(ones(3, 3))
matrix_rank(zeros(3, 5))

ramify documentation built on June 24, 2025, 9:07 a.m.