filter.pca: Filter PCs
In wcrump/GWASP: GWAS with PCA
Description
Usage
Arguments
Value
Description
Filter out PCs colinear with other covariates.
Usage
1
filter.pca(PCA, covs = NULL, 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 prcomp() list output with PCs filtered
wcrump/GWASP documentation built on April 4, 2020, 5:54 a.m.
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Description Usage Arguments Value
Description
Filter out PCs colinear with other covariates.
Usage
1 | filter.pca(PCA, covs = NULL, 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 prcomp() list output with PCs filtered
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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