Other packages > Find by keyword >

EFAfactors  

Determining the Number of Factors in Exploratory Factor Analysis
View on CRAN: Click here


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

Install from Github:
library("remotes")
install_github("cran/EFAfactors")

Install by package version:
library("remotes")
install_version("EFAfactors", "1.2.4")



Attach the package and use:
library("EFAfactors")
Maintained by
Haijiang Qin
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-09-25
Latest Update: 2025-06-14
Description:
Provides a collection of standard factor retention methods in Exploratory Factor Analysis (EFA), making it easier to determine the number of factors. Traditional methods such as the scree plot by Cattell (1966) <doi:10.1207/s15327906mbr0102_10>, Kaiser-Guttman Criterion (KGC) by Guttman (1954) <doi:10.1007/BF02289162> and Kaiser (1960) <doi:10.1177/001316446002000116>, and flexible Parallel Analysis (PA) by Horn (1965) <doi:10.1007/BF02289447> based on eigenvalues form PCA or EFA are readily available. This package also implements several newer methods, such as the Empirical Kaiser Criterion (EKC) by Braeken and van Assen (2017) <doi:10.1037/met0000074>, Comparison Data (CD) by Ruscio and Roche (2012) <doi:10.1037/a0025697>, and Hull method by Lorenzo-Seva et al. (2011) <doi:10.1080/00273171.2011.564527>, as well as some AI-based methods like Comparison Data Forest (CDF) by Goretzko and Ruscio (2024) <doi:10.3758/s13428-023-02122-4> and Factor Forest (FF) by Goretzko and Buhner (2020) <doi:10.1037/met0000262 >. Additionally, it includes a deep neural network (DNN) trained on large-scale datasets that can efficiently and reliably determine the number of factors.
How to cite:
Haijiang Qin (2024). EFAfactors: Determining the Number of Factors in Exploratory Factor Analysis. R package version 1.2.4, https://cran.r-project.org/web/packages/EFAfactors. Accessed 06 Jun. 2026.
Previous versions and publish date:
1.0.0 (2024-09-25 10:50), 1.1.0 (2024-09-30 00:40), 1.1.1 (2024-11-19 09:00), 1.2.0 (2025-01-07 17:00), 1.2.1 (2025-02-17 05:30), 1.2.2 (2025-05-01 15:40), 1.2.3 (2025-06-14 19:10)
Other packages that cited EFAfactors R package
View EFAfactors citation profile
Other R packages that EFAfactors depends, imports, suggests or enhances
Complete documentation for EFAfactors
Functions, R codes and Examples using the EFAfactors R package
Full EFAfactors package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

r2resize  
In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency  
datawizard  
Easy Data Wrangling and Statistical Transformations
A lightweight package to assist in key steps involved in any data analysis workflow: (1) wrangling ...
Download / Learn more Package Citations See dependency  
sSDR  
Tools Developed for Structured Sufficient Dimension Reduction (sSDR)
Performs structured OLS (sOLS) and structured SIR (sSIR). ...
Download / Learn more Package Citations See dependency  
geoR  
Analysis of Geostatistical Data
Geostatistical analysis including variogram-based, likelihood-based and Bayesian methods. Software c ...
Download / Learn more Package Citations See dependency  
AcrossTic  
A Cost-Minimal Regular Spanning Subgraph with TreeClust
Construct minimum-cost regular spanning subgraph as part of a non-parametric two-sample test for eq ...
Download / Learn more Package Citations See dependency  
selectapref  
Analysis of Field and Laboratory Foraging
Provides indices such as Manly's alpha, foraging ratio, and Ivlev's selectivity to allow for analysi ...
Download / Learn more Package Citations See dependency  

27,372

R Packages

233,548

Dependencies

72,820

Author Associations

27,205

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA