Resources

Class-related GitHub repos

Chang, W. (2012). R Graphics Cookbook. http://ase.tufts.edu/bugs/guide/assets/R%20Graphics%20Cookbook.pdf
Gandrud, C. (2015). Reproducible Research with R and R Studio, Second Edition. CRC Press. https://www.crcpress.com/Reproducible-Research-with-R-and-R-Studio-Second-Edition/Gandrud/p/book/9781498715379
VanderPlas, J. (2016). Python Data Science Handbook. https://jakevdp.github.io/PythonDataScienceHandbook/
Wickham, H. & Grolemund, G. (2016). R for Data Science: Import, Tidy, Transform, Visualize, and Model Data. O’Reilly Media. http://shop.oreilly.com/product/0636920034407.do.
Wickham, H. (2019). Advanced R, 2nd Ed. Chapman & Hall/CRC. https://adv-r.hadley.nz/.
Xie, Y., Allaire, J.J., & Grolemund, G. (2019). R Markdown: The Definitive Guide. Chapman & Hall/CRC. https://bookdown.org/yihui/rmarkdown/.

Schweinsberg, M., Madan, N., Vianello, M., Sommer, S. A., Jordan, J., Tierney, W., … Uhlmann, E. L. (2016). The pipeline project: Pre-publication independent replications of a single laboratory’s research pipeline. Journal of Experimental Social Psychology, 66, 55–67. https://doi.org/10.1016/j.jesp.2015.10.001
Munafò, M. R., Nosek, B. A., Bishop, D. V. M., Button, K. S., Chambers, C. D., Sert, N. P. du, … Ioannidis, J. P. A. (2017). A manifesto for reproducible science. Nature Human Behaviour, 1, 0021. https://doi.org/10.1038/s41562-016-0021.
Poldrack, R. A., Baker, C. I., Durnez, J., Gorgolewski, K. J., Matthews, P. M., Munafò, M. R., … Yarkoni, T. (2017). Scanning the horizon: towards transparent and reproducible neuroimaging research. Nature Reviews Neuroscience, advance online publication. https://doi.org/10.1038/nrn.2016.167.