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

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

Description

Generates the specified number of subjects

Usage

sim.QTL.data.GxG(n = NULL, ph.mean = NULL, ph.sd = NULL, freq1 = NULL,
  freq2 = NULL, g1.model = NULL, g1.efkt = NULL, g2.model = NULL,
  g2.efkt = NULL, i.efkt = NULL, pheno.rel = NULL)

Arguments

n	Number of subjects to simulate
ph.mean	statistical mean
ph.sd	standard deviation
freq1	Minor allele frequency if the 1st of the two genetic variant
freq2	Minor allele frequency if the 2nd of the two genetic variant
g1.model	Genetic model; 0 for binary and 1 for additive
g1.efkt	Effects of the 1st genetic variant
g2.model	Genetic model; 0 for binary and 1 for additive
g2.efkt	Effects of the 2nd genetic variant
i.efkt	Interaction effect
pheno.rel	reliability of the assessment for a quantitative outcome.

Value

A matrix

Author(s)

Gaye A.

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