doSim

Generates random data from population variance-covariance matrix and population means, either
from a multivariate normal distribution, or using one of various approaches to generate
non-normal data.

Provides a-priori, post-hoc, and compromise power-analyses
for structural equation models (SEM).

Morten Moshagen

semPower

Power Analyses for SEM

Martina Bader

doSim function

<dl><dt>r</dt>
<dd>replication id</dd>
<dt>simData</dt>
<dd>list of datafiles</dd>
<dt>isMultigroup</dt>
<dd>multigroup flag</dd>
<dt>modelH0</dt>
<dd><code>lavaan</code> model string defining the (incorrect) analysis model.</dd>
<dt>modelH1</dt>
<dd><code>lavaan</code> model string defining the comparison model. If omitted, the saturated model is the comparison model.</dd>
<dt>lavOptions</dt>
<dd>a list of additional options passed to <code>lavaan</code>, e. g., <code>list(estimator = 'mlm')</code> to request robust ML estimation</dd>
<dt>lavOptionsH1</dt>
<dd>lavoptions when fitting <code>modelH1</code>. If <code>NULL</code>, the same as <code>lavOptions</code>.</dd></dl>

Arguments

doSim — doSim

<dl>

<dt>r</dt>
<dd>replication id</dd>


<dt>simData</dt>
<dd>list of datafiles</dd>


<dt>isMultigroup</dt>
<dd>multigroup flag</dd>


<dt>modelH0</dt>
<dd><code>lavaan</code> model string defining the (incorrect) analysis model.</dd>


<dt>modelH1</dt>
<dd><code>lavaan</code> model string defining the comparison model. If omitted, the saturated model is the comparison model.</dd>


<dt>lavOptions</dt>
<dd>a list of additional options passed to <code>lavaan</code>, e. g., <code>list(estimator = 'mlm')</code> to request robust ML estimation</dd>


<dt>lavOptionsH1</dt>
<dd>lavoptions when fitting <code>modelH1</code>. If <code>NULL</code>, the same as <code>lavOptions</code>.</dd>

</dl>

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doSim: doSim

Description

Usage

Value

Arguments