EFAtools

EFAtools: An R package with fast and flexible implementations of exploratory factor analysis tools - Published in JOSS (2020)

https://github.com/mdsteiner/efatools

Science Score: 95.0%

This score indicates how likely this project is to be science-related based on various indicators:

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CITATION.cff file
✓
codemeta.json file
Found codemeta.json file
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.zenodo.json file
Found .zenodo.json file
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DOI references
Found 6 DOI reference(s) in README and JOSS metadata
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Links to: joss.theoj.org
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4 of 6 committers (66.7%) from academic institutions
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Published in Journal of Open Source Software

Scientific Fields

Engineering Computer Science - 40% confidence

Last synced: 6 months ago · JSON representation

Repository

Basic Info

Host: GitHub
Owner: mdsteiner
License: gpl-3.0
Language: R
Default Branch: master
Size: 13.6 MB

Statistics

Stars: 10
Watchers: 1
Forks: 3
Open Issues: 5
Releases: 14

Created about 7 years ago · Last pushed 6 months ago

Metadata Files

Readme Changelog License

README.Rmd

---
output: github_document
---



```{r, include = FALSE}
knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "man/figures/README-",
  out.width = "100%"
)
```

# EFAtools


[![CRAN status](https://www.r-pkg.org/badges/version/EFAtools)](https://CRAN.R-project.org/package=EFAtools)
[![DOI](https://joss.theoj.org/papers/10.21105/joss.02521/status.svg)](https://doi.org/10.21105/joss.02521)



The EFAtools package 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, implementations from R psych and SPSS can be compared. Moreover, functions for Schmid-Leiman transformation, and computation of omegas are provided. To speed up the analyses, some of the iterative procedures like principal axis factoring (PAF) are implemented in C++.

## Installation

You can install the release version from [CRAN](https://cran.r-project.org/) with:
```{r eval=FALSE}
install.packages("EFAtools")
```

You can install the development version from [GitHub](https://github.com/) with:

```{r eval=FALSE}
install.packages("devtools")
devtools::install_github("mdsteiner/EFAtools")
```

To also build the vignette when installing the development version, use:

```{r eval=FALSE}
install.packages("devtools")
devtools::install_github("mdsteiner/EFAtools", build_vignettes = TRUE)
```

## Example

Here are a few examples on how to perform the analyses with the different types and how to compare the results using the `COMPARE` function. For more details, see the vignette by running `vignette("EFAtools", package = "EFAtools")`. The vignette provides a high-level introduction into the functionalities of the package.

```{r fig.height=3}
# load the package
library(EFAtools)

# Run multiple factor retention methods
N_FACTORS(test_models$baseline$cormat, N = 500)

# A type SPSS EFA to mimick the SPSS implementation with
# promax rotation
EFA_SPSS <- EFA(test_models$baseline$cormat, n_factors = 3, type = "SPSS",
                  rotation = "promax")

# look at solution
EFA_SPSS

# A type psych EFA to mimick the psych::fa() implementation with
# promax rotation
EFA_psych <- EFA(test_models$baseline$cormat, n_factors = 3, type = "psych",
                  rotation = "promax")

# compare the type psych and type SPSS implementations
COMPARE(EFA_SPSS$rot_loadings, EFA_psych$rot_loadings,
        x_labels = c("SPSS", "psych"))

# Average solution across many different EFAs with oblique rotations
EFA_AV <- EFA_AVERAGE(test_models$baseline$cormat, n_factors = 3, N = 500,
                      method = c("PAF", "ML", "ULS"), rotation = "oblique",
                      show_progress = FALSE)

# look at solution
EFA_AV

# Perform a Schmid-Leiman transformation
SL <- SL(EFA_psych)

# Based on a specific salience threshold for the loadings (here: .20):
factor_corres <- SL$sl[, c("F1", "F2", "F3")] >= .2

# Compute omegas from the Schmid-Leiman solution
OMEGA(SL, factor_corres = factor_corres)
```

## Citation

If you use this package in your research, please acknowledge it by citing: 

Steiner, M.D., & Grieder, S.G. (2020). EFAtools: An R package with fast and flexible implementations of exploratory factor analysis tools. *Journal of Open Source Software*, *5*(53), 2521. https://doi.org/10.21105/joss.02521

## Contribute or Report Bugs

If you want to contribute or report bugs, please open an issue on GitHub or email us at markus.d.steiner@gmail.com or silvia.grieder@gmail.com.

Owner

Name: Markus Steiner
Login: mdsteiner
Kind: user

Repositories: 4
Profile: https://github.com/mdsteiner

JOSS Publication

EFAtools: An R package with fast and flexible implementations of exploratory factor analysis tools

Published

September 16, 2020

DOI

10.21105/joss.02521

Volume 5, Issue 53, Page 2521

Authors

Markus D. Steiner

Center for Cognitive and Decision Sciences, Department of Psychology, University of Basel, Switzerland

Silvia Grieder

Division of Developmental and Personality Psychology, Department of Psychology, University of Basel, Switzerland

Editor

Frederick Boehm

Papers & Mentions

Total mentions: 1

What factors contribute to the meaning of work? A validation of Morin’s Meaning of Work Questionnaire

DOI: 10.1186/s41155-020-00167-4
OpenAlex ID: https://openalex.org/W3120726251
Published: January 2021

Last synced: 4 months ago

GitHub Events

Total

Release event: 4
Push event: 6
Create event: 4

Last Year

Release event: 4
Push event: 6
Create event: 4

Committers

Last synced: 7 months ago

All Time

Total Commits: 553
Total Committers: 6
Avg Commits per committer: 92.167
Development Distribution Score (DDS): 0.391

Past Year

Commits: 9
Committers: 1
Avg Commits per committer: 9.0
Development Distribution Score (DDS): 0.0

Top Committers

Name	Email	Commits
mdsteiner	m**r@u**h	337
Silvia Grieder	s**r@u**h	205
Markus Steiner	m**r@f**e	4
Markus Steiner	m**r@d**h	4
Markus Steiner	m**r@f**h	2
Silvia Grieder	s**r@g**m	1

Committer Domains (Top 20 + Academic)

unibas.ch: 2 fp-ws-b125.psycho.unibas.ch: 1 dyn-36-252.mobile.unibas.ch: 1 fp-ws-b125.home: 1

Issues and Pull Requests

Last synced: 6 months ago

All Time

Total issues: 66
Total pull requests: 2
Average time to close issues: about 1 month
Average time to close pull requests: 1 minute
Total issue authors: 5
Total pull request authors: 2
Average comments per issue: 0.65
Average comments per pull request: 0.5
Merged pull requests: 1
Bot issues: 0
Bot pull requests: 0

Past Year

Issues: 0
Pull requests: 0
Average time to close issues: N/A
Average time to close pull requests: N/A
Issue authors: 0
Pull request authors: 0
Average comments per issue: 0
Average comments per pull request: 0
Merged pull requests: 0
Bot issues: 0
Bot pull requests: 0

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Top Authors

Issue Authors

sgrieder (37)
mdsteiner (26)
FlorianScharf (1)
jacobsoj (1)
cwliu007 (1)

Pull Request Authors

FabrizioSandri (1)
mdsteiner (1)

Top Labels

Issue Labels

enhancement (5) bug (2)

Pull Request Labels

Packages

Total packages: 1
Total downloads:
- cran 1,115 last-month

Total dependent packages: 1
Total dependent repositories: 0
Total versions: 15
Total maintainers: 1

cran.r-project.org: EFAtools

Fast and Flexible Implementations of Exploratory Factor Analysis Tools

Homepage: https://github.com/mdsteiner/EFAtools
Documentation: http://cran.r-project.org/web/packages/EFAtools/EFAtools.pdf
License: GPL-3
Latest release: 0.6.1
published 7 months ago

Versions: 15
Dependent Packages: 1
Dependent Repositories: 0
Downloads: 1,115 Last month

Rankings

Downloads: 13.9%

Forks count: 17.8%

Dependent packages count: 18.7%

Stargazers count: 21.1%

Average: 21.4%

Dependent repos count: 35.5%

Maintainers (1)

markus.d.steiner@gmail.com

Last synced: 6 months ago

Dependencies

DESCRIPTION cran

R >= 3.6.0 depends
GPArotation * imports
Rcpp * imports
checkmate * imports
cli * imports
crayon * imports
dplyr * imports
future * imports
future.apply * imports
ggplot2 * imports
graphics * imports
lavaan * imports
magrittr * imports
progress * imports
progressr * imports
psych * imports
rlang * imports
stats * imports
stringr * imports
tibble * imports
tidyr * imports
viridisLite * imports
knitr * suggests
microbenchmark * suggests
rmarkdown * suggests
testthat * suggests

.github/workflows/R-CMD-check.yaml actions

actions/cache v2 composite
actions/checkout v2 composite
actions/upload-artifact main composite
r-lib/actions/setup-pandoc v1 composite
r-lib/actions/setup-r v1 composite

EFAtools

Science Score: 95.0%

Scientific Fields

Repository

Basic Info

Statistics

Metadata Files

README.Rmd

Owner

JOSS Publication

EFAtools: An R package with fast and flexible implementations of exploratory factor analysis tools

Authors

Editor

Tags

Papers & Mentions

What factors contribute to the meaning of work? A validation of Morin’s Meaning of Work Questionnaire

GitHub Events

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Last Year

Committers

All Time

Past Year

Top Committers

Committer Domains (Top 20 + Academic)

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All Time

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Packages

cran.r-project.org: EFAtools

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Maintainers (1)

Dependencies