wscale

Uses the <code>cluster</code> and <code>ecluster</code> (cluster size and effective cluster size) options specified in Mplus. See <a href="https://statmodel.com/download/Scaling3.pdf">note</a> from the Mplus website.
If there is no variation in weights within a cluster, the weights will scale to 1.

Convenience functions and datasets to be used with Practical Multilevel Modeling using R. The package includes functions for calculating group means, group mean centered variables, and displaying some basic missing data information. A function for computing robust standard errors for linear mixed models based on Liang and Zeger (1986) <doi:10.1093/biomet/73.1.13> and Bell and 'McCaffrey' (2002) <https://www150.statcan.gc.ca/n1/en/pub/12-001-x/2002002/article/9058-eng.pdf?st=NxMjN1YZ> is included as well as a function for checking for level-one homoskedasticity (Raudenbush & Bryk, 2002, ISBN:076191904X).

Francis Huang

MLMusingR

Practical Multilevel Modeling

wscale function

<dl><dt>cluster</dt>
<dd>The cluster variable.</dd>
<dt>data</dt>
<dd>The original dataset.</dd>
<dt>wt</dt>
<dd>The weight variable to scale.</dd>
<dt>type</dt>
<dd>Either <code>cluster</code> or <code>ecluster</code>. See pdf from Mplus website.</dd></dl>

Arguments

Uses the <code>cluster</code> and <code>ecluster</code> (cluster size and effective cluster size) options specified in Mplus. See <a href='https://statmodel.com/download/Scaling3.pdf'>note</a> from the Mplus website.
If there is no variation in weights within a cluster, the weights will scale to 1.

Scale of Sampling Weights — wscale

<dl>

<dt>cluster</dt>
<dd>The cluster variable.</dd>


<dt>data</dt>
<dd>The original dataset.</dd>


<dt>wt</dt>
<dd>The weight variable to scale.</dd>


<dt>type</dt>
<dd>Either <code>cluster</code> or <code>ecluster</code>. See pdf from Mplus website.</dd>

</dl>

wscale: Scale of Sampling Weights

Description

Usage

Arguments

Examples