plot.KGC

Plot method showing a summarized output of the KGC function

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

plot.KGC function

<dl><dt>x</dt>
<dd>a list of class KGC. An output from the KGC function.</dd>
<dt>...</dt>
<dd>not used.</dd></dl>

Arguments

Plot KGC object — plot.KGC

<dl>

<dt>x</dt>
<dd>a list of class KGC. An output from the KGC function.</dd>


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

</dl>

plot.KGC: Plot KGC object

Description

Usage

Arguments

Examples