sim.pheno.qtl.GxE: Simulates continuous outcome data

In agaye/ESPRESSO.GxE: Power Analysis and Sample Size Calculation for a gene-environment interaction model

Description

Uses the effects data of the determinants to construct a linear predictor(LP). The outcome is normally distributed variable generated with a mean equal to LP and a standard deviation of 1. Some error is then added to the simulated outcome to obtained the observed outcome.

Usage

sim.pheno.qtl.GxE(numsubjects = NULL, pheno.mean = NULL, pheno.sd = NULL,
  genotype = NULL, geno.efkt = NULL, environment = NULL,
  env.efkt = NULL, interaction = NULL, int.efkt = NULL)

Arguments

num.subjects	Number of subjects to simulate
pheno.mean	statistical mean
pheno.sd	standard deviation
genotype	Genotype
geno.efkt	Effects of the genetic variant
environment	Exposure data for environment
env.efkt	Effects of the environmental determiants
interaction	data
int.efkt	Interaction effect

Value

A dataframe of phenotype

Author(s)

Gaye A.

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