Required reading:
Wilson, G., Bryan, J., Cranston, K., Kitzes, J., Nederbragt, L., and Teal, T.K. (2017) Good enough practices in scientific computing. PLoS Computational Biology, 13(6):e1005510 https://doi.org/10.1371/journal.pcbi.1005510
Chin, J.M., Pickett, J.T., Vazire, S., and Holcombe, A.O. (2023) ‘Questionable Research Practices and Open Science in Quantitative Criminology’. Journal of Quantitative Criminology, 39:21–51. https://doi.org/10.1007/s10940-021-09525-6
Further reading:
Broman, K. Initial steps toward reproducible research. https://kbroman.org/steps2rr/
Healy, K. (2019) The plain person’s guide to plain text social science. https://plain-text.co/
Pridemore, W.A., Makel, M.C., and Plucker, J.A. (2018) Replication in criminology and the social sciences. Annual Review of Criminology, 1:19-38 https://doi.org/10.1146/annurev-criminol-032317-091849
RStudio. Introduction to R Markdown. https://rmarkdown.rstudio.com/lesson-1.html
Xie, Y., Allaire, J.J., and Grolemund, G. (2022) R Markdown the Definitive Guide. CRC Press. https://bookdown.org/yihui/rmarkdown/
Bryan, J. and Hester, J. What they forgot to teach you about R. https://rstats.wtf/