designMatrix: Design matrix for SWD model

In samplingDataCRT: Sampling Data Within Different Study Designs for Cluster Randomized Trials

Description

create design matrix for a given setup of a stepped wedge design

Usage

designMatrix(nC, nT, nSw, swP = NULL, design = "SWD")

Arguments

nC	number of cluster
nT	number of timepoints
nSw	number of cluster : within parallel recieve the control (nC-nSw receive the intervention), within cross-over recieve the pattern (0, 1) (nC-nSw receive the pattern (1,0)) for nearly the same number of time points, within SWD switches from control to intervention per time point
swP	is the time point the cluster cross over the condition in a cross over study, if not given then it is nearly half of the time past
design	is the study type (parallel, cross-sectional, stepped wedge)

Value

design matrix for a given setup of a stepped wedge design

Examples

designMatrix(5,6,1)

K<-6  #measurement (or timepoints)
I<-10 #Cluster
designMatrix(nC=I, nT=K, nSw=2)

samplingDataCRT documentation built on May 2, 2019, 9:25 a.m.