group_mean

Computes the group means of a variable by a specified cluster/group. Can also be used with factors that have two levels.

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

group_mean function

<dl><dt>x</dt>
<dd>Variable to compute the mean for (e.g., <code>dataframe$varname</code>).</dd>
<dt>grp</dt>
<dd>Cluster/grouping variable (e.g., <code>dataframe$cluster</code>).</dd>
<dt>lm</dt>
<dd>Compute reliability (lambda) adjusted means.</dd></dl>

Arguments

Computes the group mean of a variable — group_mean

<dl>

<dt>x</dt>
<dd>Variable to compute the mean for (e.g., <code>dataframe$varname</code>).</dd>


<dt>grp</dt>
<dd>Cluster/grouping variable (e.g., <code>dataframe$cluster</code>).</dd>


<dt>lm</dt>
<dd>Compute reliability (lambda) adjusted means.</dd>

</dl>

group_mean: Computes the group mean of a variable

Description

Usage

Value

Arguments

Examples