.stat_over_list

Calculate statistics for a list of matrices

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

.stat_over_list function

<dl><dt>alist</dt>
<dd>A list of sub-lists, typically a list of \(m\) matrices from
<code>"EFA"</code>, where \(m\) is the number of imputations passed to
<code>EFA_POOLED</code>.</dd>
<dt>stat</dt>
<dd>A function, e.g. <code>mean</code> or <code>sd</code>.</dd></dl>

Arguments

Andreas Soteriades
Given a list of matrices, this function calculates user-supplied statistics
(e.g. mean, median) over the matrices. This function is useful for averaging
results from <code>EFA</code> (e.g. loadings) over all permutation runs in
<code>EFA_POOLED</code>.

Author

Calculate statistics for a list of matrices — .stat_over_list

<dl>

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


<dt>stat</dt>
<dd>A function, e.g. <code>mean</code> or <code>sd</code>.</dd>

</dl>

.stat_over_list: Calculate statistics for a list of matrices

Description

Usage

Value

Arguments

Author