References

Allaire, JJ, Yihui Xie, Jonathan McPherson, Javier Luraschi, Kevin Ushey, Aron Atkins, Hadley Wickham, Joe Cheng, Winston Chang, and Richard Iannone. 2021. Rmarkdown: Dynamic Documents for r. https://CRAN.R-project.org/package=rmarkdown.
Broman, Karl. 2021. “Automate the Process.” Initial Steps Toward Reproducible Research. https://kbroman.org/steps2rr/pages/automate.html.
Guo, Philip Jia. 2012. Software Tools to Facilitate Research Programming. Stanford University. purl.stanford.edu/mb510fs4943.
Hampton, Stephanie E., Sapna Sharma, Matthew R. Brousil, and Alessandro Filazzola. 2022. “Winter and Summer Storms Modify Chlorophyll Relationships with Nutrients in Seasonally Ice-Covered Lakes.” Ecosphere 13 (11): e4272. https://doi.org/10.1002/ecs2.4272.
Horst, Allison. 2020. Data_cowboy.png. Allisonhorst/Stats-Illustrations. https://github.com/allisonhorst/stats-illustrations/blob/master/rstats-artwork/data_cowboy.png.
Horst, Allison Marie, Alison Presmanes Hill, and Kristen B Gorman. 2020. Palmerpenguins: Palmer Archipelago (Antarctica) Penguin Data. https://doi.org/10.5281/zenodo.3960218.
Landau, William Michael. 2018. “The Drake r Package: A Pipeline Toolkit for Reproducibility and High-Performance Computing.” Journal of Open Source Software 3 (21). https://doi.org/10.21105/joss.00550.
———. 2021a. Tarchetypes: Archetypes for Targets.
———. 2021b. “The Targets r Package: A Dynamic Make-Like Function-Oriented Pipeline Toolkit for Reproducibility and High-Performance Computing.” Journal of Open Source Software 6 (57): 2959. https://doi.org/10.21105/joss.02959.
R Core Team. 2021. R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing. https://www.R-project.org/.
Wickham, Hadley, Mara Averick, Jennifer Bryan, Winston Chang, Lucy D’Agostino McGowan, Romain François, Garrett Grolemund, et al. 2019. “Welcome to the tidyverse.” Journal of Open Source Software 4 (43): 1686. https://doi.org/10.21105/joss.01686.
Wickham, Hadley, and Garrett Grolemund. 2017. R for Data Science : Import, Tidy, Transform, Visualize, and Model Data. Beijing: O’Reilly.
Xie, Yihui. 2014. “Knitr: A Comprehensive Tool for Reproducible Research in R.” In Implementing Reproducible Computational Research, edited by Victoria Stodden, Friedrich Leisch, and Roger D. Peng. Chapman; Hall/CRC. http://www.crcpress.com/product/isbn/9781466561595.
———. 2015b. Dynamic Documents with R and Knitr. 2nd ed. Boca Raton, Florida: Chapman; Hall/CRC. http://yihui.org/knitr/.
———. 2015a. Dynamic Documents with R and Knitr. 2nd ed. Boca Raton, Florida: Chapman; Hall/CRC. https://yihui.org/knitr/.
———. 2016. Bookdown: Authoring Books and Technical Documents with R Markdown. Boca Raton, Florida: Chapman; Hall/CRC. https://bookdown.org/yihui/bookdown.
———. 2021a. Bookdown: Authoring Books and Technical Documents with r Markdown. https://CRAN.R-project.org/package=bookdown.
———. 2021b. Knitr: A General-Purpose Package for Dynamic Report Generation in r. https://yihui.org/knitr/.
Xie, Yihui, J. J. Allaire, and Garrett Grolemund. 2018. R Markdown: The Definitive Guide. Boca Raton, Florida: Chapman; Hall/CRC. https://bookdown.org/yihui/rmarkdown.
Xie, Yihui, Christophe Dervieux, and Emily Riederer. 2020. R Markdown Cookbook. Boca Raton, Florida: Chapman; Hall/CRC. https://bookdown.org/yihui/rmarkdown-cookbook.
Zimmerman, Naupaka, Greg Wilson, Raniere Silva, Scott Ritchie, François Michonneau, Jeffrey Oliver, Harriet Dashnow, et al. 2019. swcarpentry/r-novice-gapminder: Software Carpentry: R for Reproducible Scientific Analysis, June 2019.” Zenodo. https://doi.org/10.5281/zenodo.3265164.