references.bib

@article{wickham2014tidy,
  title={Tidy data},
  author={Wickham, Hadley},
  journal={Journal of Statistical Software},
  volume={59},
  number={10},
  pages={1--23},
  year={2014},
  publisher={Foundation for Open Access Statistics}
}

@book{wickham2016r,
  title={R for data science: import, tidy, transform, visualize, and model data},
  author={Wickham, Hadley and Grolemund, Garrett},
  year={2016},
  publisher={O'Reilly Media, Inc.}
}

@Manual{r_core_team,
  title = {R: A Language and Environment for Statistical Computing},
  author = {{R Core Team}},
  organization = {R Foundation for Statistical Computing},
  address = {Vienna, Austria},
  year = {2023},
  url = {https://www.R-project.org/},
}

@article{breiman2001random,
  title={Random forests},
  author={Breiman, Leo},
  journal={Machine learning},
  volume={45},
  number={1},
  pages={5--32},
  year={2001},
  publisher={Springer}
}

@online{rstudio2023,
  title={RStudio: Integrated Development Environment for R},
  author={{Posit Team}},
  year={2023},
  url={http://www.rstudio.com/},
  urldate={2023-10-15}
}

@inproceedings{chen2016xgboost,
  title={Xgboost: A scalable tree boosting system},
  author={Chen, Tianqi and Guestrin, Carlos},
  booktitle={Proceedings of the 22nd acm sigkdd international conference on knowledge discovery and data mining},
  pages={785--794},
  year={2016}
}

@article{james2013introduction,
  title={An introduction to statistical learning},
  author={James, Gareth and Witten, Daniela and Hastie, Trevor and Tibshirani, Robert},
  journal={Springer},
  volume={112},
  pages={18},
  year={2013}
}