.nest_sym

Function called from within NEST so usually no call to this is needed by the user.
Provides a C++ implementation of the NEST simulation procedure

Provides functions to perform exploratory factor analysis (EFA) procedures and compare their solutions. The goal is to provide state-of-the-art factor retention methods and a high degree of flexibility in the EFA procedures. This way, for example, implementations from R 'psych' and 'SPSS' can be compared. Moreover, functions for Schmid-Leiman transformation and the computation of omegas are provided. To speed up the analyses, some of the iterative procedures, like principal axis factoring (PAF), are implemented in C++.

Markus Steiner

EFAtools

Fast and Flexible Implementations of Exploratory Factor Analysis
Tools

.nest_sym function

<dl><dt>nf</dt>
<dd>numeric. Current number of factors.</dd>
<dt>N</dt>
<dd>numeric. Number of cases / observations in dataset.</dd>
<dt>M</dt>
<dd>numeric matrix. A transposed matrix of cbind(loadings, diag(sqrt(uniquenesses))).</dd>
<dt>nreps</dt>
<dd>numeric. Number of datasets to create.</dd></dl>

Arguments

Get reference values for nest. — .nest_sym

<dl>

<dt>nf</dt>
<dd>numeric. Current number of factors.</dd>


<dt>N</dt>
<dd>numeric. Number of cases / observations in dataset.</dd>


<dt>M</dt>
<dd>numeric matrix. A transposed matrix of cbind(loadings, diag(sqrt(uniquenesses))).</dd>


<dt>nreps</dt>
<dd>numeric. Number of datasets to create.</dd>

</dl>

.nest_sym: Get reference values for nest.

Description

Usage

Arguments