Appendix E — References

  1. R Core Team. (2023). R: A language and environment for statistical computing. R Foundation for Statistical Computing. https://www.R-project.org/.

  2. Wickham, H., & Grolemund, G. (2017). R for Data Science: Import, Tidy, Transform, Visualize, and Model Data. O’Reilly Media, Inc. https://r4ds.had.co.nz/.

  3. Chang, W. (2018). R Graphics Cookbook: Practical Recipes for Visualizing Data. O’Reilly Media. https://r-graphics.org/.

  4. RStudio Team. (2023). RStudio: Integrated Development Environment for R. RStudio, PBC. http://www.rstudio.com/.

  5. Wickham, H. (2016). ggplot2: Elegant Graphics for Data Analysis. Springer-Verlag New York. https://ggplot2-book.org/.

  6. Wickham, H. (2017). readr: Read Rectangular Text Data. R package version 1.3.1. https://CRAN.R-project.org/package=readr.

  7. Fisher, R. A. (1936). The use of multiple measurements in taxonomic problems. Annals of Eugenics, 7(2), 179-188. (Original description of the iris dataset).

  8. Henderson, H. V., & Velleman, P. F. (1981). Building multiple regression models interactively. Biometrics, 37, 391-411. (Description of the mtcars dataset).

  9. Matloff, N. (2011). The Art of R Programming: A Tour of Statistical Software Design. No Starch Press. https://nostarch.com/artofr.htm.

  10. Teetor, P. (2011). R Cookbook: Proven Recipes for Data Analysis, Statistics, and Graphics. O’Reilly Media.

  11. Stack Overflow - R Tag. Community-based Q&A for R programming. https://stackoverflow.com/questions/tagged/r.

  12. CRAN (Comprehensive R Archive Network). Source for R packages and documentation. https://cran.r-project.org/.