genLambda

Generate a loading matrix Lambda from various shortcuts, each assuming a simple structure.
Either define <code>loadings</code>, or define <code>nIndicator</code> and <code>loadM</code> (and optionally <code>loadSD</code>), or define
<code>nIndicator</code> and <code>loadMinMax</code>.

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

Morten Moshagen

semPower

Power Analyses for SEM

Martina Bader

genLambda function

<dl><dt>loadings</dt>
<dd>A list providing the loadings by factor, e. g. <code>list(c(.4, .5, .6), c(7, .8, .8))</code> to define two factors with three indicators each with the specified loadings. The vectors must not contain secondary loadings.</dd>
<dt>nIndicator</dt>
<dd>Vector indicating the number of indicators for each factor, e. g. <code>c(4, 6)</code> to define two factors with 4 and 6 indicators, respectively</dd>
<dt>loadM</dt>
<dd>Either a vector giving the mean loadings for each factor or a single number to use for every loading.</dd>
<dt>loadSD</dt>
<dd>Either a vector giving the standard deviation of loadings for each factor or a single number, for use in conjunction with <code>loadM</code>. If <code>NULL</code>, SDs are set to zero. Otherwise, loadings are sampled from a normal distribution.</dd>
<dt>loadMinMax</dt>
<dd>A list giving the minimum and maximum loading for each factor or a vector to apply to all factors. If set, loadings are sampled from a uniform distribution.</dd></dl>

Arguments

genLambda — genLambda

<dl>

<dt>loadings</dt>
<dd>A list providing the loadings by factor, e. g. <code>list(c(.4, .5, .6), c(7, .8, .8))</code> to define two factors with three indicators each with the specified loadings. The vectors must not contain secondary loadings.</dd>


<dt>nIndicator</dt>
<dd>Vector indicating the number of indicators for each factor, e. g. <code>c(4, 6)</code> to define two factors with 4 and 6 indicators, respectively</dd>


<dt>loadM</dt>
<dd>Either a vector giving the mean loadings for each factor or a single number to use for every loading.</dd>


<dt>loadSD</dt>
<dd>Either a vector giving the standard deviation of loadings for each factor or a single number, for use in conjunction with <code>loadM</code>. If <code>NULL</code>, SDs are set to zero. Otherwise, loadings are sampled from a normal distribution.</dd>


<dt>loadMinMax</dt>
<dd>A list giving the minimum and maximum loading for each factor or a vector to apply to all factors. If set, loadings are sampled from a uniform distribution.</dd>

</dl>

genLambda: genLambda

Description

Usage

Value

Arguments