simData2

Generate simulated data for users to apply the method SNPinter and SNPcvinter, including response variable y, scalar variable Z and sequence (genotypes) data X.

An implementation of revised functional regression models for multiple genetic variation data, such as single nucleotide polymorphism (SNP) data, which provides revised functional linear regression models, partially functional interaction regression analysis with penalty-based techniques and corresponding drawing functions, etc.(Ruzong Fan, Yifan Wang, James L. Mills, Alexander F. Wilson, Joan E. Bailey-Wilson, and Momiao Xiong (2013) <doi:10.1002/gepi.21757>).

Rui Ren

FunctanSNP

Functional Analysis (with Interactions) for Dense SNP Data

Kuangnan Fang

Qingzhao Zhang

Shuangge Ma

simData2 function

<dl><dt>n</dt>
<dd>an interger variable specifying the number of samples to be generated.</dd>
<dt>m</dt>
<dd>an interger variable specifying the sequence length of each sample.</dd>
<dt>seed</dt>
<dd>an integer variable specifyinging the random seed used for random sequence generation.</dd></dl>

Arguments

Generate simulated data for SNPinter and SNPcvinter — simData2

<dl>

<dt>n</dt>
<dd>an interger variable specifying the number of samples to be generated.</dd>


<dt>m</dt>
<dd>an interger variable specifying the sequence length of each sample.</dd>


<dt>seed</dt>
<dd>an integer variable specifyinging the random seed used for random sequence generation.</dd>

</dl>

simData2: Generate simulated data for `SNPinter` and `SNPcvinter`

Description

Usage

Value

Arguments

See Also

Examples