filter.pca: Filter out PCs colinear with other covariates.
In wcrump/GWAS.GLM: Perform GWAS by GLM
Description
Usage
Arguments
Value
View source: R/filter.pca.function.R
Description
Filter out PCs colinear with other covariates.
Usage
1
filter.pca(PCA, covs, threshold = 0.2)
Arguments
PCA
The output list from the prcomp() function.
covs
A matrix/data.frame of covariates (rows = individuals, columns = covariates)
threshold
A numerical value (0-1) indicating the maximum allowed correlation between any one covariate and any one PC
Value
A matrix of filtered PCs (not correlated with any covariates supplied by user)
wcrump/GWAS.GLM documentation built on March 30, 2020, 3:17 a.m.
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Description Usage Arguments Value
View source: R/filter.pca.function.R
Description
Filter out PCs colinear with other covariates.
Usage
1 | filter.pca(PCA, covs, threshold = 0.2)
|
Arguments
PCA |
The output list from the prcomp() function. |
covs |
A matrix/data.frame of covariates (rows = individuals, columns = covariates) |
threshold |
A numerical value (0-1) indicating the maximum allowed correlation between any one covariate and any one PC |
Value
A matrix of filtered PCs (not correlated with any covariates supplied by user)
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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