gbr_pcs: Simulated Principal Components for 'GBR' population in the...
In GBJ: Generalized Berk-Jones Test for Set-Based Inference in Genetic Association Studies
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
1
Format
A matrix with 91 rows (one for each subject) and 5 columns (one for each PC)
GBJ documentation built on March 26, 2020, 6:05 p.m.
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.
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
1 |
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.