phen.gen.fn: Generate case-control data with shared controls for traits 1...

In jennasimit/MTFMextra: Specific Analyses for MFM package

Description

Generate case-control data with shared controls for traits 1 and 2

Usage

phen.gen.fn(beta1 = c(-2.3, 0.2, 0.2), beta2 = c(-2.3, 0.2, 0.2), snpG,
  N0 = 100, N1 = 100, N2 = 100, causals1.ind, causals2.ind)

Arguments

beta1	vector of model parameters for trait 1: (log(prevalence),causal variant effects)
beta2	vector of model parameters for trait 2: (log(prevalence),causal variant effects)
snpG	matrix of genotype scores for null data (rows=SNPs, columns=individuals)
N0	number of shared controls
N1	number of cases for trait 1
N2	number of cases for trait 2
causals1.ind	indices of trait 1 causal variants with respect to snpG
causals2.ind	indices of trait 2 causal variants with respect to snpG

Value

list consisting of G=genotype matrix (rows=indiv, cols=snps), y=vector of case-control status (0=control,1=trait 1 case, 2=trait 2 case)

Author(s)

Jenn Asimit

jennasimit/MTFMextra documentation built on May 22, 2019, 12:37 p.m.