CousineauLaurencelleLambda: Cousineau-Laurencelle's lambda correction for...

In dcousin3/superb: Summary Plots with Adjusted Error Bars

Cousineau-Laurencelle's lambda correction for cluster-randomized sampling

Description

The functions CousineauLaurencelleLambda() returns the correction factor for cluster-randomized sampling. This correction is then used in a variety of ways, for example, to get the effective number of participants (in a power study) or to correct a t-test. See \insertCitecl16superb.

Usage

CousineauLaurencelleLambda(paramvector)

Arguments

paramvector

A vector with, in that order, the intra-class correlation r, the number of clusters, then the number of participants in all the clusters.

Value

lambda the correction factor for cluster-randomized sampling.

References

\insertAllCited

Examples

# Example from Cousineau & Laurencelle, 2017, p. 124:
CousineauLaurencelleLambda( c(0.2, 5, 20, 20, 20, 20, 20) )
# 2.234188  

dcousin3/superb documentation built on Oct. 29, 2024, 5:28 p.m.