sim.QTL.data.E: Generates subjects for a continuous outcome

In agaye/ESPRESSO.E: Power Analysis and Sample Size Calculation for a model with a main effect environmental exposure

Description

Generates the specified number of subjects for a quantitative outcome.

Usage

sim.QTL.data.E(num.obs = 500, env.model = 0, ph.mean = 0, ph.sd = 1,
  env.efkt = 0.5, env.prev = 0.1, env.mean = 0, env.sd = 1,
  env.low.lim = 0, env.up.lim = 1, pheno.reliability = 0.9)

Arguments

num.obs	number of subjects to simulate.
ph.mean	mean of the outcome variable in the study population
ph.sd	standard deviation of the outcome in the study population
env.model	model of the environmental exposure.
env.efkt	effects of the environment determinants.
env.prev	prevalence of the environmental exposure.
env.mean	statistical mean for a normally distributed exposure.
env.sd	standard deviation for a normally distributed exposure.
env.low.lim	lower limit for a uniformly distributed exposure.
env.up.lim	upper limit for a uniformly distributed exposure.
pheno.reliability	reliability of the assessment for a quantitative outcome.

Value

a matrix that holds the outcome (phenotype) and exposure (environment) data.

Author(s)

Gaye, A.

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