cdata.ex

Dataset of 60 observations from 3 clusters.

datasets

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

cdata.ex function

A wide data frame of 60 observations. Used for discussing within and between group effects.<dl>
 <dt>x</dt>
<dd>The predictor.</dd> <dt>y</dt>
<dd>The outcome of interest.</dd></dl>

Format

Clustered dataset for centering example — cdata.ex

A wide data frame of 60 observations. Used for discussing within and between group effects.<dl>
 <dt>x</dt>
<dd>The predictor.</dd>

 <dt>y</dt>
<dd>The outcome of interest.</dd>



</dl>

cdata.ex: Clustered dataset for centering example

Description

Usage

Arguments

Format