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

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

Description

The function uses the effects data of the genetic determinant to construct a linear predictor(LP). The outcome is a normally distributed variable generated with a mean equal to the LP and a standard deviation of 1.

Usage

sim.pheno.qtl.G(num.subjects = 10000, pheno.mean = 0, pheno.sd = 1,
  genotype = NULL, geno.efkt = 0.25)

Arguments

num.subjects	number of subjects to generate.
pheno.mean	statistical mean
pheno.sd	standard deviation
genotype	a vector that represents the exposure data
geno.efkt	effect size of related to the 'at risk' allele.

Value

a binary vector that represents the phenotype data.

Author(s)

Gaye A.

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