simGWAS


  This data set was simulated using <code>PLINK</code>. Please refer to the vignette
  for more details.


datasets

Testing individual SNPs, as well as arbitrarily large groups of SNPs in GWA studies, using a joint model of all SNPs. The method controls the FWER, and provides an automatic, data-driven refinement of the SNP clusters to smaller groups or single markers.

Laura Buzdugan

hierGWAS

Asessing statistical significance in predictive GWA studies

simGWAS function

The dataset contains the following components:
  <dl>
    <dt><code>SNP.1</code></dt><dd>The first SNP, of dimension <code>500 x 1</code>. Each
    row represents a subject.</dd> <dt></dt><dd>...</dd> <dt><code>SNP.1000</code></dt><dd>The last SNP, of dimension <code>500 x 1</code>. Each
    row represents a subject.</dd> <dt><code>y</code></dt><dd>The response vector. It can be continuous or discrete.</dd> <dt><code>sex</code></dt><dd>The first covariate, represeting the sex of the subjects:
    0 for men and 1 for women.</dd> <dt><code>age</code></dt><dd>The second covariate, represeting the age of the subjects.</dd> </dl> 

Format

This data set was simulated using <code>PLINK</code>. Please refer to the vignette
  for more details.

simGWAS: Simulated GWAS data

Description

Usage

Arguments

Value

Format

Examples