inferCut: Compute the eigenvalues for the linkage disequilibrium (LD)...
In GALLO: Genomic Annotation in Livestock for Positional Candidate LOci
inferCut R Documentation
Compute the eigenvalues for the linkage disequilibrium (LD) matrix and use as input for PCA_Meff function to compute the effective number of markers
Description
Compute the eigenvalues for the linkage disequilibrium (LD) matrix and use as input for PCA_Meff function to compute the effective number of markers
Usage
inferCut(mat.r, cut.off)
Arguments
mat.r
A matrix composed by the LD between markers
cut.off
The threshold for percentage of the sum of the variances explained by the markers
Value
The effective number of markers identified by the SimpleM approach
GALLO documentation built on June 22, 2024, 9:17 a.m.
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| inferCut | R Documentation |
Compute the eigenvalues for the linkage disequilibrium (LD) matrix and use as input for PCA_Meff function to compute the effective number of markers
Description
Compute the eigenvalues for the linkage disequilibrium (LD) matrix and use as input for PCA_Meff function to compute the effective number of markers
Usage
inferCut(mat.r, cut.off)
Arguments
mat.r |
A matrix composed by the LD between markers |
cut.off |
The threshold for percentage of the sum of the variances explained by the markers |
Value
The effective number of markers identified by the SimpleM approach
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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