References
Allaire, J., Xie, Y., McPherson, J., Luraschi, J., Ushey, K., Atkins, A., Wickham, H., Cheng, J., & Chang, W. (2018). Rmarkdown: Dynamic documents for r. https://CRAN.R-project.org/package=rmarkdown
DeBruine, L., & Barr, D. (2020). Data skills for reproducible research. Zenodo. https://doi.org/10.5281/zenodo.3564348
Franconeri, S. L., Padilla, L. M., Shah, P., Zacks, J. M., & Hullman, J. (2021). The science of visual data communication: What works. Psychological Science in the Public Interest, 22(3), 110–161. https://doi.org/10.1177/15291006211051956
Nordmann, E., McAleer, P., Toivo, W., Paterson, H., & DeBruine, L. M. (2021). Data visualisation using R, for researchers who don’t use R. PsyArXiv. https://doi.org/10.31234/osf.io/4huvw
R Core Team. (2022). R: A language and environment for statistical computing. R Foundation for Statistical Computing. https://www.R-project.org/
Wickham, H. (2017). Tidyverse: Easily install and load the ’tidyverse’. https://CRAN.R-project.org/package=tidyverse
Wickham, H. (2021). Tidyverse: Easily install and load the tidyverse. https://CRAN.R-project.org/package=tidyverse
Xie, Y. (2021). Tinytex: Helper functions to install and maintain TeX live, and compile LaTeX documents. https://github.com/yihui/tinytex