.average_matrices

Average a list of matrices elementwise

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

.average_matrices function

<dl><dt>x</dt>
<dd>List of conformable matrices.</dd></dl>

Arguments

Average a list of matrices elementwise — .average_matrices

<dl>

<dt>x</dt>
<dd>List of conformable matrices.</dd>

</dl>

.average_matrices: Average a list of matrices elementwise

Description

Usage

Value

Arguments