summary.mixPV

Create summary output from the mixPV function

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

summary.mixPV function

<dl><dt>object</dt>
<dd>The mixPV object</dd>
<dt>dfadj</dt>
<dd>If set to TRUE (default), uses newer df computation. If FALSE, uses standard Rubin pooling formula.</dd>
<dt>...</dt>
<dd>Additional unspecified options.</dd></dl>

Arguments

Create summary output from the mixPV function — summary.mixPV

<dl>

<dt>object</dt>
<dd>The mixPV object</dd>


<dt>dfadj</dt>
<dd>If set to TRUE (default), uses newer df computation. If FALSE, uses standard Rubin pooling formula.</dd>


<dt>...</dt>
<dd>Additional unspecified options.</dd>

</dl>

summary.mixPV: Create summary output from the mixPV function

Description

Usage

Arguments