get.obs.env: Generates the observed environmental exposure data

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

Description

Adds a set level of error to binary or quantitative data (the true data) to obtain data with a larger variance (the observed data). The level of error is determined by the misclassification rates in binary exposure and by the set level of variance in the quantitative exposure.

Usage

get.obs.env(env.data = NULL, env.model = NULL, env.sd = NULL,
  env.prev = NULL, env.error = NULL, env.reliability = NULL)

Arguments

env.data	a vector of environmental measures that represents the true data.
env.model	distribution of the exposure: binary=0 , normal=1 or uniform=2.
env.prev	prevalence of the environmental exposure.
env.error	misclassification rates: 1-sensitivity and 1-specificity.
env.reliability	reliability of the assessment of quantitative exposure.

Value

a dataframe with two coloumns/variables: true.environment the error free exposure data (true data). observed.environment the true esposure data with some added error (observed data).

Author(s)

Amadou Gaye

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