wscale: Scale of Sampling Weights

In MLMusingR: Practical Multilevel Modeling

Scale of Sampling Weights

Description

Uses the cluster and ecluster (cluster size and effective cluster size) options specified in Mplus. See note from the Mplus website. If there is no variation in weights within a cluster, the weights will scale to 1.

Usage

wscale(cluster, data, wt, type = "cluster")

Arguments

cluster	The cluster variable.
data	The original dataset.
wt	The weight variable to scale.
type	Either cluster or ecluster. See pdf from Mplus website.

Examples

data(pisa2012, package = 'MLMusingR')
pisa2012$clustwt <- wscale('schoolid', pisa2012, 'w_fschwt')

MLMusingR documentation built on April 3, 2025, 5:43 p.m.