Description Usage Arguments Details Examples
Compute the rank of a matrix using the singular value decomposition (SVD) method.
1 2 3 4 5 6 7 8 9 10 | 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)
|
x |
an object that inherits from class |
tol |
Threshold below which SVD values are considered zero. |
The singular value decomposition method simply computes the SVD of x
and returns the number of singular values of x
that are greater than
tol
. See the function rankMatrix
in package
Matrix
for alternative methods.
1 2 3 4 5 | 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))
|
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