eigenvalues_1000G

A sample dataset containing the first 20 eigenvalues
calculated from 2504 individuals in the Phase 3 data
release of the 1000 Genomes Project. The principal
component analysis was conducted using PLINK.

datasets

Matches cases to controls based on genotype principal components (PC).
In order to produce better results, matches are based on the weighted
distance of PCs where the weights are equal to the % variance explained
by that PC. A weighted Mahalanobis distance metric (Kidd et al. (1987)
<DOI:10.1016/0031-3203(87)90066-5>) is used to determine matches.

Derek W. Brown

PCAmatchR

Match Cases to Controls Based on Genotype Principal Components

Mitchel J. Machiela

Timothy A. Myers

NCI 

eigenvalues_1000G function

A data frame with 20 rows and 1 variable:<dl>
 <dt>eigen_values</dt>
<dd>calculated eigenvalues</dd>
</dl>

Format

First 20 eigenvalues of 2504 individuals from the 1000 Genome Project — eigenvalues_1000G

A data frame with 20 rows and 1 variable:<dl>
 <dt>eigen_values</dt>
<dd>calculated eigenvalues</dd>


</dl>

eigenvalues_1000G: First 20 eigenvalues of 2504 individuals from the 1000 Genome Project

Description

Usage

Arguments

Format

Examples