eigen_sym: Spectral decomposition of a matrix
In QTLRel: Tools for Mapping of Quantitative Traits of Genetically Related Individuals and Calculating Identity Coefficients from Pedigrees
eigen.sym R Documentation
Spectral decomposition of a matrix
Description
Computes eigenvalues and eigenvectors of real symmetric matrices.
Usage
eigen.sym(x)
Arguments
x
A real symmetric matrix.
Details
This is to use the LAPACK routine 'DSYEVR' to perform spectral decomposition.
Value
values
a vector containing the eigenvalues of x, sorted in decreasing order.
vectors
a matrix whose columns contain the eigenvectors of x, corresponding to eigenvalues.
Note
Warning: symmetry is not checked by the program!
See Also
eigen for more information.
QTLRel documentation built on Aug. 9, 2023, 1:07 a.m.
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| eigen.sym | R Documentation |
Spectral decomposition of a matrix
Description
Computes eigenvalues and eigenvectors of real symmetric matrices.
Usage
eigen.sym(x)
Arguments
x |
A real symmetric matrix. |
Details
This is to use the LAPACK routine 'DSYEVR' to perform spectral decomposition.
Value
values |
a vector containing the eigenvalues of |
vectors |
a matrix whose columns contain the eigenvectors of |
Note
Warning: symmetry is not checked by the program!
See Also
eigen for more information.
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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