.extract_list_object

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

Silvia Steiner

William Revelle

Max Auerswald

Morten Moshagen

John Ruscio

Brendan Roche

Urbano Lorenzo-Seva

David Navarro-Gonzalez

Johan Braeken

Andreas Soteriades

.extract_list_object function

<dl><dt>alist</dt>
<dd>A list of sub-lists, typically a list of \(m\) objects of class
<code>"EFA"</code>, where \(m\) is the number of imputations passed to
<code>EFA_POOLED()</code>.</dd>
<dt>object</dt>
<dd>String of length 1. The name of the object to extract e.g.
<code>"h2"</code> or <code>"vars_accounted"</code>.</dd></dl>

Arguments

Andreas Soteriades
Consider a list of named sub-lists. This function extracts, for each sub-list,
the sub-list element that is specified by the user. This function is useful
for extracting results from <code>EFA()</code> for each permutation run in
<code>EFA_POOLED()</code>.

Author

Extract a list object by its name — .extract_list_object

<dl>

<dt>alist</dt>
<dd>A list of sub-lists, typically a list of \(m\) objects of class
<code>"EFA"</code>, where \(m\) is the number of imputations passed to
<code>EFA_POOLED()</code>.</dd>


<dt>object</dt>
<dd>String of length 1. The name of the object to extract e.g.
<code>"h2"</code> or <code>"vars_accounted"</code>.</dd>

</dl>

Extract a list object by its name

.extract_list_object: Extract a list object by its name

Description

Usage

Value

Arguments

Author