Web application for the simulation of experimental data

  Purposes

This open-source, R-based web application is suitable for educational and research purposes in experimental and quantitative sciences. It allows the creation of varied data sets with specified structures, such as between-group and within-participant variables, that can be categorical or continuous. These parameters can be set throughout the various tabs from the top menu. In the last tab, the data set can be downloaded. The benefits of this application include time-saving and flexibility in the control of parameters.

🌐  The web application can be launched here.

Screenshot of the Dependent tab (view larger)

Reference

Bernabeu, P., & Lynott, D. (2020). Web application for the simulation of experimental data (Version 1.1). Retrieved from https://github.com/pablobernabeu/Experiment-simulation-app/.

Code

This web application was developed in R (R Core Team, 2020). The code is available on Github, where contributions may be made. The initial code for this application was influenced by Section 5.7 (Simulating data for multi-factor designs) in Crump (2017). The R packages used include ‘dplyr’ (Wickham, François, Henry, & Müller, 2018), ‘DT’ (Xie, 2020), ‘flexdashboard’ (Iannone, Allaire, & Borges, 2020), ‘shiny’ (Chang, Cheng, Allaire, Xie, & McPherson, 2020) and ‘stringr’ (Wickham, 2019).

Acknowledgements

Thank you to RStudio for the free hosting server used by this application, shinyapps.io.

References

Chang, W., Cheng, J., Allaire, J., Xie, Y., & McPherson, J. (2020). shiny: Web Application Framework for R. R package version 1.4.0. Available at http://CRAN.R-project.org/package=shiny.

Crump, M. J. C. (2017). Programming for Psychologists: Data Creation and Analysis (Version 1.1). https://crumplab.github.io/programmingforpsych/.

Iannone, R., Allaire, J. J., & Borges, B. (2020). Flexdashboard: R Markdown Format for Flexible Dashboards. http://rmarkdown.rstudio.com/flexdashboard.

R Core Team (2020). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL https://www.R-project.org/.

Wickham, H. (2019). stringr: Simple, Consistent Wrappers for Common String Operations. R package version 1.4.0. https://CRAN.R-project.org/package=stringr.

Wickham, H., François, R., Henry, L., & Müller, K. (2018). dplyr: A Grammar of Data Manipulation. R package version 0.7.6. https://CRAN.R-project.org/package=dplyr.

Xie, Y. (2020). DT: A Wrapper of the JavaScript Library “DataTables”. R package version 0.14. Available at https://CRAN.R-project.org/package=DT.

Contact

To submit any questions or feedback, please post an issue, or email Pablo Bernabeu at p.bernabeu@lancaster.ac.uk.


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