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EFA.dimensions  

Exploratory Factor Analysis Functions for Assessing Dimensionality
View on CRAN: Click here


Download and install EFA.dimensions package within the R console
Install from CRAN:
install.packages("EFA.dimensions")

Install from Github:
library("remotes")
install_github("cran/EFA.dimensions")

Install by package version:
library("remotes")
install_version("EFA.dimensions", "0.1.9.1")



Attach the package and use:
library("EFA.dimensions")
Maintained by
Brian P. O'Connor
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-07-20
Latest Update: 2024-06-06
Description:
Functions for eleven procedures for determining the number of factors, including functions for parallel analysis and the minimum average partial test. There are also functions for conducting principal components analysis, principal axis factor analysis, maximum likelihood factor analysis, image factor analysis, and extension factor analysis, all of which can take raw data or correlation matrices as input and with options for conducting the analyses using Pearson correlations, Kendall correlations, Spearman correlations, gamma correlations, or polychoric correlations. Varimax rotation, promax rotation, and Procrustes rotations can be performed. Additional functions focus on the factorability of a correlation matrix, the congruences between factors from different datasets, the assessment of local independence, the assessment of factor solution complexity, and internal consistency. Auerswald & Moshagen (2019, ISSN:1939-1463); Field, Miles, & Field (2012, ISBN:978-1-4462-0045-2); Mulaik (2010, ISBN:978-1-4200-9981-2); O'Connor (2000, ); O'Connor (2001, ISSN:0146-6216).
How to cite:
Brian P. O'Connor (2020). EFA.dimensions: Exploratory Factor Analysis Functions for Assessing Dimensionality. R package version 0.1.9.1, https://cran.r-project.org/web/packages/EFA.dimensions. Accessed 27 Oct. 2026.
Previous versions and publish date:
0.1.6 (2020-07-20 11:32), 0.1.7.2 (2021-02-05 16:20), 0.1.7.3 (2021-09-05 14:30), 0.1.7.4 (2022-02-07 02:20), 0.1.7.6 (2023-01-11 08:33), 0.1.7.7 (2023-03-17 12:30), 0.1.7.9 (2023-09-07 10:40), 0.1.8.1 (2023-12-19 05:00), 0.1.8.4 (2024-06-06 09:20), 0.1.8.6 (2026-02-04 12:20), 0.1.8.8 (2026-07-22 00:40), 0.1.9.1 (2026-09-14 09:10), (2026-09-30 17:10)
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