Inv.proj.matrix.sdp: Inv.proj.matrix.sdp
In LDcorSV: Linkage Disequilibrium Corrected by the Structure and the Relatedness
Description
Usage
Arguments
Value
Author(s)
Examples
View source: R/Inv.proj.matrix.sdp.R
Description
This function computes the Moore-Penrose pseudo-inverse of a symetric matrix.
A single value decomposition is performed, the non positive eigen values are set to zero, then the pseudo-inverse is computed.
Usage
1
Arguments
matrix
symmetric matrix
Value
The returned value is the pseudo-inverse matrix.
Author(s)
David Desrousseaux, Florian Sandron, Aurélie Siberchicot, Christine Cierco-Ayrolles and Brigitte Mangin
Examples
1
2
3
4
data(data.test)
V.WAIS <- data.test[[2]]
Inv.V.WAIS <- Inv.proj.matrix.sdp(V.WAIS)
Inv.V.WAIS
LDcorSV documentation built on Aug. 26, 2020, 9:06 a.m.
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Description Usage Arguments Value Author(s) Examples
View source: R/Inv.proj.matrix.sdp.R
Description
This function computes the Moore-Penrose pseudo-inverse of a symetric matrix. A single value decomposition is performed, the non positive eigen values are set to zero, then the pseudo-inverse is computed.
Usage
1 |
Arguments
matrix |
symmetric matrix |
Value
The returned value is the pseudo-inverse matrix.
Author(s)
David Desrousseaux, Florian Sandron, Aurélie Siberchicot, Christine Cierco-Ayrolles and Brigitte Mangin
Examples
1 2 3 4 | data(data.test)
V.WAIS <- data.test[[2]]
Inv.V.WAIS <- Inv.proj.matrix.sdp(V.WAIS)
Inv.V.WAIS
|
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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