normalize.matrix: Normalize Matrix
In simecek/HPQTL: HPQTL
Description
Usage
Arguments
Details
Value
Examples
Description
Normalize genetic similarity matrix.
Usage
1
2
normalize.matrix(W, method = c("sample-variance", "diagonal",
"diagonal-average", "none"))
Arguments
W
symmetric, positive semidefinite matrix
method
"sample-variance", "diagonal" or "diagonal-average"
Details
To calculate heritability, particularly for different genetic similarity estimators,
the genetic similarity matrix needs to be properly normalized. The default way is to force sample
variance of animal effect to be unit.
Value
Normalized matrix
Examples
1
2
3
W <- matrix(c(1,1/2,1/2,1),2,2)
normalize.matrix(W, method="sample-variance")
normalize.matrix(W, method="diagonal")
simecek/HPQTL documentation built on May 29, 2019, 10 p.m.
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Description Usage Arguments Details Value Examples
Description
Normalize genetic similarity matrix.
Usage
1 2 | normalize.matrix(W, method = c("sample-variance", "diagonal",
"diagonal-average", "none"))
|
Arguments
W |
symmetric, positive semidefinite matrix |
method |
"sample-variance", "diagonal" or "diagonal-average" |
Details
To calculate heritability, particularly for different genetic similarity estimators, the genetic similarity matrix needs to be properly normalized. The default way is to force sample variance of animal effect to be unit.
Value
Normalized matrix
Examples
1 2 3 | W <- matrix(c(1,1/2,1/2,1),2,2)
normalize.matrix(W, method="sample-variance")
normalize.matrix(W, method="diagonal")
|
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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