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

In agaye/ESPRESSO.ExE: Power Analysis and Sample Size Calculation for a environment-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.ExE(numsubjects = NULL, pheno.mean = NULL, pheno.sd = NULL,
  environment1 = NULL, env1.efkt = NULL, environment2 = NULL,
  env2.efkt = NULL, interaction = NULL, int.efkt = NULL)

Arguments

num.subjects	Number of subjects to simulate
pheno.mean	statistical mean
pheno.sd	standard deviation
environment1	Exposure data for the first determinant
env1.efkt	Effects of the first determinant
environment2	Exposure data for the second determinant
env2.efkt	Effects of the second determinant
interaction	data
int.efkt	Interaction effect

Value

A dataframe of phenotype

Author(s)

Gaye A.

agaye/ESPRESSO.ExE documentation built on May 10, 2019, 7:30 a.m.