sim.QTL.data.G: Simulates subjects for a continuous outcome

In agaye/ESPRESSO.G: Power Analysis and Sample Size Calculation for a model with a main effect genetic covariate

Description

Generates the specified number of subjects for a quantitative outcome.

Usage

sim.QTL.data.G(numsubjects = 10000, ph.mean = 0, ph.sd = 1,
  geno.model = 0, MAF = 0.1, geno.efkt = 0.25, pheno.reliability = 0.9)

Arguments

numsubjects	number of subjects to simulate.
ph.mean	statistical mean
ph.sd	standard deviation
geno.model	genetic model; binary=0 and additive=1.
MAF	minor allele frequencies of the genetic variant.
geno.efkt	effect size of the 'at risk' genotype.
pheno.reliability	reliability of the assessment for a quantitative outcome.

Value

a matrix that holds the outcome (phenotype) and exposure (genotype) data and the SNP alleles used to construct the genotypes.

Author(s)

Gaye A.

agaye/ESPRESSO.G documentation built on May 10, 2019, 7:31 a.m.