The Statsomat/CFA app is a web-based application for automated Confirmatory Factor Analysis (CFA) based mainly on the R package
lavaan and created with the Shiny technology. The Statsomat/CFA app is hosted on shinyapps.io and is one of several apps which can be accessed via Statsomat.com. You can also access the app directly here https://statsomat.shinyapps.io/Confirmatory-factor-analysis/.
There is no need to install the Statsomat/CFA app since it runs in the browser. If you really want to run it locally, then download the repository and run the app from the project folder:
Before running the app locally, please consider to install required packages (check them in
report_kernel.Rmd). A list of complete dependencies can be found in
The dataset HolzingerSwineford1939.csv extracted from the R package
lavaan is contained in the repository and can be used as an example. Select only the variables
x1-x9 for a CFA. Type this model into the Type Your Model text area block, generate the report and finally download the report.
visual =~ x1 + x2 + x3 textual =~ x4 + x5 + x6 speed =~ x7 + x8 + x9
An example output:CFA_17112021
Follow also the Instructions described directly on the webpage of the app https://statsomat.shinyapps.io/Confirmatory-factor-analysis/. You can find more testing cases (datasets as CSV files and corresponding CFA models in
lavaan model syntax) in the testing repository https://github.com/Statsomat/CFA-Testing.
The user uploads its data as a CSV file, types the CFA model in
lavaan model syntax directly in the browser and generates a PDF report. The report contains a data-driven interpretation and explanation of the CFA in plain English. The R code for the generation of the tables and graphics is included in the report and enables locally reproducibles results. The current version supports only approximately continuous data. Other restrictions to the data may apply.
The app was calibrated and tested by using the HolzingerSwineford1939 dataset contained in the R package
lavaan and (simulated) data cases from literature. The repository https://github.com/Statsomat/CFA-Testing contains the test data cases and results for this version.
1) Contribute to the software:
You are welcome to improve and extend the functionality of the app. If you want to make a pull request, please check that you can run test cases locally without any errors or warnings. Please consider to test your changes also on shinyapps.io. While uploading, ignore the
Error in eval(x, envir = envir), it is a non-fatal error, also related to related to https://github.com/rstudio/packrat/issues/385 and https://github.com/rstudio/rsconnect/issues/429.
2) Report issues or problems with the software:
Please open an issue in this repository to report any bugs.
3) Seek support:
We try to answer all questions in reasonable time but general support is limited.