hypoDat

<p>Simulated binary trait 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

hypoDat 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>
[,3] </td>
<td> attr </td>
<td> numeric </td>
<td> simulated quantitative attribute </td>
</tr><tr><td>
[,5] </td>
<td> M1.1 </td>
<td> numeric </td>
<td> the first allele of hypothetical SNP M1 </td>
</tr><tr><td>
[,6] </td>
<td> M1.2 </td>
<td> numeric </td>
<td> the second allele of hypothetical SNP M1 </td>
</tr><tr><td>
[,5] </td>
<td> M2.1 </td>
<td> numeric </td>
<td> the first allele of hypothetical SNP M2 </td>
</tr><tr><td>
[,6] </td>
<td> M2.2 </td>
<td> numeric </td>
<td> the second allele of hypothetical SNP M2 </td>
</tr><tr><td>
[,7] </td>
<td> M3.1 </td>
<td> numeric </td>
<td> the first allele of hypothetical SNP M3 </td>
</tr></table>

hypoDat: Simulated data for a hypothetical binary trait

Description

Usage

Arguments

Format

[,1]	affected	numeric	affection status (1=yes, 0=no)
[,3]	attr	numeric	simulated quantitative attribute
[,5]	M1.1	numeric	the first allele of hypothetical SNP M1
[,6]	M1.2	numeric	the second allele of hypothetical SNP M1
[,5]	M2.1	numeric	the first allele of hypothetical SNP M2
[,6]	M2.2	numeric	the second allele of hypothetical SNP M2
[,7]	M3.1	numeric	the first allele of hypothetical SNP M3