sampleData: Sampling Response of individuals within a SWD model

In trutscheld/SWDsampling: Sampling data within stepped wedge designs, power calculation and simulations

Description

Sample data (response) for given numbers of individuals by given group means within a SWD model

Usage

sampleData(I, TP, mu, theta, beta.j, sigma.alpha, X.i.j.0, X.i.j = NULL, N,
  sigma.e, sigma.ind = NULL)

Arguments

I	number of clusters (design parameter)
TP	number of timepoints (design parameter)
mu	baseline mean (model parameter)
theta	treatment effect (model parameter)
beta.j	vector of time trents (model parameter)
sigma.alpha	between cluster variability as standard deviation (model parameter)
X.i.j.0	assumed treatment model matrix for a SWD study (model parameter)
X.i.j	data model matrix of real intervention implementation (model parameter), by default (NULL) the same as the X.i.j.0
N	number of individuals (fixed) for all clusters and timepoints
sigma.e	random error variability as standard deviation (model parameter)
sigma.ind	individual variability as standard deviation (model parameter), if it is an longitudinal model, by default (NULL) it is an cross-sectional model

Value

Data frame with individuals intensities corresponds to the SWD model and full model parameter information

Examples

noCl<-10
noT<-6
switches<-2
DM<-designMatrix.SWD(noCl,noT,switches)
sampleData(I=noCl,TP=noT, mu=0,theta=1,beta.j=rep(1,noT),sigma.alpha=0.5, X.i.j.0=DM,N=10,sigma.e=1)

trutscheld/SWDsampling documentation built on June 1, 2019, 1:52 a.m.