hypoDatGeno

<p>Simulated genetic SNPs data used to illustrate the hapassoc package.</p>

datasets

The following R functions are used for inference of trait
associations with haplotypes and other covariates in
generalized linear models.  The functions are developed
primarily for data collected in cohort or cross-sectional
studies. They can accommodate uncertain haplotype phase and
handle missing genotypes at some SNPs.

Kelly Burkett

hapassoc

Inference of Trait Associations with SNP Haplotypes and Other
Attributes using the EM Algorithm

hypoDatGeno function

<p>Matrix with columns:\</p><table><tr><td>
[,1] </td>
<td> affected </td>
<td> numeric </td>
<td> affection status (1=yes, 0=no) </td>
</tr><tr><td>
[,2] </td>
<td> attr </td>
<td> numeric </td>
<td> simulated quantitative attribute </td>
</tr><tr><td>
[,3] </td>
<td> M1 </td>
<td> numeric </td>
<td> hypothetical SNP M1 </td>
</tr><tr><td>
[,4] </td>
<td> M2 </td>
<td> numeric </td>
<td> hypothetical SNP M2 </td>
</tr><tr><td>
[,5] </td>
<td> M3 </td>
<td> numeric </td>
<td> hypothetical SNP M3 </td>
</tr></table>

hypoDatGeno: Simulated data for a hypothetical genetic SNPs

Description

Usage

Arguments

Format

[,1]	affected	numeric	affection status (1=yes, 0=no)
[,2]	attr	numeric	simulated quantitative attribute
[,3]	M1	numeric	hypothetical SNP M1
[,4]	M2	numeric	hypothetical SNP M2
[,5]	M3	numeric	hypothetical SNP M3