References

Blischak, John D., Emily R. Davenport, and Greg Wilson. 2016. “A Quick Introduction to Version Control with Git and GitHub.” Edited by Francis Ouellette. PLOS Computational Biology 12 (1): e1004668. https://doi.org/10.1371/journal.pcbi.1004668.
Chacon, Scott. 2014. Pro Git. 2nd ed. Berkeley, CA: Apress L. P.
Chen, Katharine Y., Maria Toro-Moreno, and Arvind Rasi Subramaniam. 2025. GitHub Enables Collaborative and Reproducible Laboratory Research.” PLOS Biology 23 (2): e3003029. https://doi.org/10.1371/journal.pbio.3003029.
Gelman, Andrew, Cristian Pasarica, and Rahul Dodhia. 2002. “Let’s Practice What We Preach.” The American Statistician 56 (2): 121–30. https://doi.org/10.1198/000313002317572790.
Gomes, Dylan G. E., Patrice Pottier, Robert Crystal-Ornelas, Emma J. Hudgins, Vivienne Foroughirad, Luna L. Sánchez-Reyes, Rachel Turba, et al. 2022. “Why Don’t We Share Data and Code? Perceived Barriers and Benefits to Public Archiving Practices.” Proceedings of the Royal Society B: Biological Sciences 289 (1987): 20221113. https://doi.org/10.1098/rspb.2022.1113.
Hammarström, Daniel, Sjur Øfsteng, Lise Koll, Marita Hanestadhaugen, Ivana Hollan, William Apró, Jon Elling Whist, Eva Blomstrand, Bent R. Rønnestad, and Stian Ellefsen. 2020. “Benefits of higher resistance-training volume are related to ribosome biogenesis.” The Journal of physiology 598 (3): 543–65. https://doi.org/10.1113/JP278455.
Ho, Joses, Tayfun Tumkaya, Sameer Aryal, Hyungwon Choi, and Adam Claridge-Chang. 2019. “Moving Beyond P Values: Data Analysis with Estimation Graphics.” Nature Methods 16 (7): 565–66. https://doi.org/10.1038/s41592-019-0470-3.
Knuth, Donald E. 1984. “Literate Programming.” Comput. J. 27 (2): 97–111. https://doi.org/10.1093/comjnl/27.2.97.
Peng, R. D. 2011. “Reproducible Research in Computational Science.” Science 334 (6060): 1226–27. https://doi.org/10.1126/science.1213847.
Ram, Karthik. 2013. “Git Can Facilitate Greater Reproducibility and Increased Transparency in Science.” Source Code for Biology and Medicine 8 (1): 7. https://doi.org/10.1186/1751-0473-8-7.
Spear, M. E. 1952. Charting Statistics. McGraw-Hill. https://books.google.no/books?id=1vBOAAAAMAAJ.
Tufte, Edward R. 2001. The Visual Display of Quantitative Information. 2. edition. Cheshire, Conn.: Graphics Press.
Tukey, John Wilder. 1977. Exploratory Data Analysis. Addison-Wesley Series in Behavioral Science. Reading, Mass: Addison-Wesley Pub. Co.
Van den Burg, G. J. J. 2019. “Organizing a Paper Revision with GitHub.” Gertjanvandenburg.com/Blog. https://gertjanvandenburg.com/blog/github_paper_revision/.
Wickham, Hadley. 2010. “A Layered Grammar of Graphics.” Journal of Computational and Graphical Statistics 19 (1): 3–28. https://doi.org/10.1198/jcgs.2009.07098.
———. 2014. “Tidy Data.” Journal of Statistical Software; Vol 1, Issue 10 (2014), September. https://www.jstatsoft.org/v059/i10 http://dx.doi.org/10.18637/jss.v059.i10.
———. 2016. Ggplot2 : Elegant Graphics for Data Analysis. 2nd ed. Use r! Cham: Springer International Publishing : Imprint: Springer. https://doi.org/10.1007/978-3-319-24277-4.
Wickham, Hadley, Mine Çetinkaya-Rundel, and Garrett Grolemund. 2023. R for Data Science: Import, Tidy, Transform, Visualize, and Model Data. 2nd edition. Sebastopol, CA: O’Reilly Media, Inc.
Wilkinson, Leland, and Graham Wills. 2005. The Grammar of Graphics. 2nd ed. Statistics and Computing. New York: Springer.
Xie, Yihui, J. J. Allaire, and Garrett Grolemund. 2019. R Markdown: The Definitive Guide. Boca Raton: CRC Press, Taylor and Francis Group.