PCA_Meff: Compute Meff statistic based on PCA to determine the number...
In GALLO: Genomic Annotation in Livestock for Positional Candidate LOci
PCA_Meff R Documentation
Compute Meff statistic based on PCA to determine the number of effective markers
Description
Compute Meff statistic based on PCA to determine the number of effective markers
Usage
PCA_Meff(eigenV, cut.off)
Arguments
eigenV
The eigenvalues obtained from the linkage disequilibrium matrix
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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| PCA_Meff | R Documentation |
Compute Meff statistic based on PCA to determine the number of effective markers
Description
Compute Meff statistic based on PCA to determine the number of effective markers
Usage
PCA_Meff(eigenV, cut.off)
Arguments
eigenV |
The eigenvalues obtained from the linkage disequilibrium matrix |
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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