gbr_pcs: Simulated Principal Components for 'GBR' population in the...
In ryanrsun/GBJ: Generalized Berk-Jones Test for Set-Based Inference in Genetic Association Studies
gbr_pcs R Documentation
Simulated Principal Components for 'GBR' population in the 1000 Genomes Project.
Description
A dataset containing 5 simulated Principal Components (PCs) for each of 91 subjects
from the 'GBR' population in the 1000 Genomes Projects. These would normally be
used as covariates in a regression model to control for population stratification.
Usage
data(gbr_pcs)
Format
A matrix with 91 rows (one for each subject) and 5 columns (one for each PC)
ryanrsun/GBJ documentation built on June 10, 2024, 8:01 a.m.
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| gbr_pcs | R Documentation |
Simulated Principal Components for 'GBR' population in the 1000 Genomes Project.
Description
A dataset containing 5 simulated Principal Components (PCs) for each of 91 subjects from the 'GBR' population in the 1000 Genomes Projects. These would normally be used as covariates in a regression model to control for population stratification.
Usage
data(gbr_pcs)
Format
A matrix with 91 rows (one for each subject) and 5 columns (one for each PC)
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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