Chapter 14 References
“About Scientific Code Review.” n.d. Accessed January 26, 2023. https://hutchdatascience.org/code_review/.
Beaulieu-Jones, Brett K, and Casey S Greene. 2017. “Reproducibility of Computational Workflows Is Automated Using Continuous Analysis.” Nature Biotechnology 35 (4): 342–46. https://doi.org/10.1038/nbt.3780.
Bodner, Herbert. 2018. “10 Reasons Why Code Reviews Make Better Code and Better Teams.” Simple Programmer. https://simpleprogrammer.com/why-code-reviews-make-better-code-teams/.
Gillespie, Colin, and Robin Lovelace. 2021. Efficient R Programming. O’Reilly Media Inc. https://csgillespie.github.io/efficientR/.
Parker, Hilary. 2017. “Opinionated Analysis Development.” Preprint. PeerJ Preprints. https://doi.org/10.7287/peerj.preprints.3210v1.
“R (Programming Language).” 2023. Wikipedia. https://en.wikipedia.org/w/index.php?title=R_(programming_language)&oldid=1144363470.
“R: The R Project for Statistical Computing.” https://www.r-project.org/.
Radigan, Dan. n.d. “What Is a Code Review & How It Can Save Time.” Atlassian. Accessed January 26, 2023. https://www.atlassian.com/agile/software-development/code-reviews.
Riederer, Emily. 2020. “Column Names as Contracts.” Emily Riederer. September 2020. https://emilyriederer.netlify.app/post/column-name-contracts/.
Timbers, Tiffany, Trevor Campbell, and Melissa Lee. 2022. Data Science. https://datasciencebook.ca.