The R Journal: article published in 2020, volume 12:2

fitzRoy - An R Package to Encourage Reproducible Sports Analysis PDF download
Robert Nguyen, James Day, David Warton and Oscar Lane , The R Journal (2020) 12:2, pages 82-106.

Abstract The importance of reproducibility, and the related issue of open access to data, has received a lot of recent attention. Momentum on these issues is gathering in the sports analytics community. While Australian Rules football (AFL) is the leading commercial sport in Australia, unlike popular international sports, there has been no mechanism for the public to access comprehensive statistics on players and teams. Expert commentary currently relies heavily on data that isn’t made readily accessible and this produces an unnecessary barrier for the development of an inclusive sports analytics community. We present the R package fitzRoy to provide easy access to AFL statistics.

Received: ; online 2021-01-14, supplementary material, (unknown)
CRAN packages: fitzRoy, Rvest, dplyr, purrr, XML
CRAN Task Views implied by cited CRAN packages: Databases, ModelDeployment, WebTechnologies


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This article and supplementary materials are licensed under a Creative Commons Attribution 4.0 International license.

@article{RJ-2021-005,
  author = {Robert Nguyen and James Day and David Warton and Oscar Lane},
  title = {{fitzRoy - An R Package to Encourage Reproducible Sports
          Analysis}},
  year = {2021},
  journal = {{The R Journal}},
  doi = {10.32614/RJ-2021-005},
  url = {https://doi.org/10.32614/RJ-2021-005},
  pages = {82--106},
  volume = {12},
  number = {2}
}