The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

BAwiR: Analysis of Basketball Data

Collection of tools to work with European basketball data. Functions available are related to friendly web scraping, data management and visualization. Data were obtained from <https://www.euroleaguebasketball.net/euroleague/>, <https://www.euroleaguebasketball.net/eurocup/> and <https://www.acb.com/>, following the instructions of their respectives robots.txt files, when available. Box score data are available for the three leagues. Play-by-play data are also available for the Spanish league. Methods for analysis include a population pyramid, 2D plots, circular plots of players' percentiles, plots of players' monthly/yearly stats, team heatmaps, team shooting plots, team four factors plots, cross-tables with the results of regular season games, maps of nationalities, combinations of lineups, possessions-related variables, timeouts, performance by periods, personal fouls and offensive rebounds. Please see Vinue (2020) <doi:10.1089/big.2018.0124>.

Version: 1.3.2
Depends: R (≥ 3.5.0)
Imports: Anthropometry, plyr, dplyr, ggplot2, grid, httr, lubridate, magrittr, purrr, qdapRegex, readr, reshape2, rvest, rworldmap, scales, stringi, stringr, tibble, tidyr, xml2
Suggests: knitr, markdown, rmarkdown
Published: 2024-01-09
DOI: 10.32614/CRAN.package.BAwiR
Author: Guillermo Vinue
Maintainer: Guillermo Vinue <Guillermo.Vinue at uv.es>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://www.uv.es/vivigui/basketball_platform.html, https://www.uv.es/vivigui/, https://www.R-project.org
NeedsCompilation: no
Materials: NEWS
In views: SportsAnalytics
CRAN checks: BAwiR results

Documentation:

Reference manual: BAwiR.pdf
Vignettes: Visualization of European basketball data
Analysis of Spanish play-by-play data

Downloads:

Package source: BAwiR_1.3.2.tar.gz
Windows binaries: r-devel: BAwiR_1.3.2.zip, r-release: BAwiR_1.3.2.zip, r-oldrel: BAwiR_1.3.2.zip
macOS binaries: r-release (arm64): BAwiR_1.3.2.tgz, r-oldrel (arm64): BAwiR_1.3.2.tgz, r-release (x86_64): BAwiR_1.3.2.tgz, r-oldrel (x86_64): BAwiR_1.3.2.tgz
Old sources: BAwiR archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=BAwiR to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.