format.efa_retention

Format method for efa_retention objects

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

format.efa_retention function

<dl><dt>x</dt>
<dd>an object of class efa_retention, returned by a factor-retention
criterion (e.g. <code>EKC()</code> or <code>HULL()</code>).</dd>
<dt>...</dt>
<dd>not used.</dd></dl>

Arguments

Format method for efa_retention objects — format.efa_retention

<dl>

<dt>x</dt>
<dd>an object of class efa_retention, returned by a factor-retention
criterion (e.g. <code>EKC()</code> or <code>HULL()</code>).</dd>


<dt>...</dt>
<dd>not used.</dd>

</dl>

Format method for efa_retention objects

format.efa_retention: Format method for efa_retention objects

Description

Usage

Value

Arguments

Examples