simSNP

simSNPcont


  simSNP is a data.frame containing a bivariate outcome as in a case-control study, a continous covariate
  and 10 simulated SNPs. SNPs 1 and 2 have an interaction effect on the outcome. Penetrances 
  are specified as in model 1 of Ritchie et al.(2003) <p></p><p>  simSNPcont is a data.frame containing a continuous normally distributed outcome and 10 simulated SNPs,
  where SNPs 1 and 2 have an interaction effect on the outcome.
</p>

Model Based Multifactor Dimension Reduction proposed by
Calle et al. (2008) as a dimension reduction method for
exploring gene-gene interactions.

Victor Urrea

mbmdr

Model Based Multifactor Dimensionality Reduction

simSNP function

simSNP is a data frame with 400 observations on the following 12 variables. <table><tr><td>
	  <code>Y</code>      </td>
</tr><tr><td>  Outcome: 1=case, 0=control  </td>
</tr><tr><td>
	  <code>X</code>      </td>
</tr><tr><td>  Age													</td>
</tr><tr><td>
    <code>snp.1</code>  </td>
</tr><tr><td>  SNP genotype data 1         </td>
</tr><tr><td>
    <code>snp.2</code>  </td>
</tr><tr><td>  SNP genotype data 2         </td>
</tr><tr><td>
    ...           </td>
</tr><tr><td>    .....                     </td>
</tr><tr><td>
    <code>snp.10</code> </td>
</tr><tr><td>  SNP genotype data 10        </td>
</tr></table> SNP values are coded as: 0=common homozygous, 1=heterozygous, 2=variant homozygous. simSNPcont has a continous outcome and the same SNPs.

simSNP: Simulated data of SNPs

Description

Usage

Arguments

Format

References