sim.QTL.data.GxE: Simulates subjects for continuous outcome

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

Description

Generates the specified number of subjects

Usage

sim.QTL.data.GxE(n = NULL, ph.mean = NULL, ph.sd = NULL, freq = NULL,
  g.model = NULL, g.efkt = NULL, e.model = NULL, e.efkt = NULL,
  e.prev = NULL, e.mean = NULL, e.sd = NULL, e.low.lim = NULL,
  e.up.lim = NULL, i.efkt = NULL, pheno.rel = NULL)

Arguments

n	Number of subjects to simulate
ph.mean	statistical mean
ph.sd	standard deviation
freq	Minor allele frequencies of the genetic variant
g.model	Genetic model; 0 for binary and 1 for continuous
g.efkt	Effects of the genetic variant
e.model	Model of the environmental exposure
e.efkt	Effects of the environment determinats
e.prev	Prevalences of the environmental determinants
e.mean	Mean under quantitative-normal model
e.sd	Standard deviation under quantitative-normal model
e.low.lim	lower limit under quantitative-uniform model
e.up.lim	upper limit under quantitative-uniform model
i.efkt	Interaction effect
pheno.rel	reliability of the assessment for a quantitative outcome.

Value

A matrix

Author(s)

Gaye A.

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