get.observed.data.GxE: Generates exposure data with some error

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

Description

Uses functions make.obs.geno and make.obs.env to generate effect data with a set level of error

Usage

get.observed.data.GxE(data = NULL, g.error = NULL, g.model = NULL,
  freq = NULL, e.error = NULL, e.model = NULL, e.prev = NULL,
  e.sd = NULL, e.reliability = NULL)

Arguments

data	Input table of simulated data considered as true data
g.error	Misclassification rates in genetic assessment: 1-sensitivity and 1-specificity
g.model	Genetic model; 0 for binary and 1 for additive
freq	Minor allele frequency
e.error	Misclassification rates in environmental exposures assessment: 1-sensitivity and 1-specificity
e.model	Model of the exposure: binary=0, quantitative-normal=1 or quantitative-uniform=2
e.prev	Prevalence of environmental exposure
e.sd	Standard Deviation
e.reliability	Reliability of the assessment of quantitative exposure

Value

A matrix

Author(s)

Gaye A

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