R: Create the cluster-randomized design data with two conditions

createDataCRD {MBESS}

R Documentation

Create the cluster-randomized design data with two conditions

Description

Create the cluster-randomized design data with two conditions. If a covaraite is specified, the covariate will not correlate with the grouping variable.

Usage

createDataCRD(nclus, ntreatclus, nindiv, iccy, es, estype = 1, totalvar=1, 
	covariate=FALSE, iccz=NULL, r2within=NULL, r2between=NULL, totalvarz = 1)
createDataCRDWide(nclus, ntreatclus, nindiv, iccy, es, estype = 1, totalvar=1, 
	covariate=FALSE, iccz=NULL, r2within=NULL, r2between=NULL, totalvarz = 1)

Arguments

`nclus`	The number of clusters
`ntreatclus`	The number of clusters in the treatment condition
`nindiv`	The number of individuals within each group (cluster size)
`iccy`	The intraclass correlation of the dependent variable
`es`	The amount of effect size
`estype`	The type of effect size. There are only three possible options: 0 = the effect size using total standard deviation, 1 = the effect size using the individual-level standard deviation (level 1), 2 = the effect size using the cluster-level standard deviation (level 2)
`totalvar`	The amount of total variance in the dependent variable
`covariate`	If `TRUE`, a single covariate is included into the model. If `FALSE`, the no-covariate model is used.
`iccz`	The intraclass correlation of the covariate (used when `covariate = TRUE`). If `iccz = 0`, the within-level covariate will be only created. If `iccz = 1`, the between-level covariate will be only created.
`r2within`	The proportion of variance explained in the within level (used when `covariate = TRUE`)
`r2between`	The proportion of variance explained in the between level (used when `covariate = TRUE`)
`totalvarz`	The total variance of the covariate (used when `covariate = TRUE`)

Value

A dataset in the long format if the createDataCRD function is used and in the wide format if the createDataCRDWide function is used.

Author(s)

Sunthud Pornprasertmanit (University of Kansas; psunthud@ku.edu)

Examples

## Not run: 
dat <- createDataCRD(100, 50, 4, iccy=0.25, es=0.5)
datWide <- createDataCRDWide(100, 50, 5, iccy=0.25, es=0.5, estype = 0, totalvar=1, 
	covariate=TRUE, iccz=0.25, r2within=0.5, r2between=0.5, totalvarz = 1)

## End(Not run)

[Package MBESS version 3.3.3 Index]