hoopR is an R package for
working with men’s basketball data.
The package has functions to access live play by play and box score
data from ESPN with shot locations when available. As of version 1.3.0,
hoopR is also a full NBA
Stats API wrapper with 127 functions added in this release.
It is additionally a scraping and aggregating interface for Ken Pomeroy’s men’s college basketball statistics website, kenpom.com. It provides users with an active subscription the capability to scrape the website tables and analyze the data for themselves.
You can install the CRAN version of
hoopR with:
install.packages("hoopR")You can install the released version of
hoopR from
GitHub with:
# You can install using the pacman package using the following code:
if (!requireNamespace('pacman', quietly = TRUE)){
install.packages('pacman')
}
pacman::p_load_current_gh("sportsdataverse/hoopR", dependencies = TRUE, update = TRUE)tictoc::tic()
progressr::with_progress({
nba_pbp <- hoopR::load_nba_pbp()
})
tictoc::toc()## 5.23 sec elapsed
## 546926 rows of NBA play-by-play data from 1161 games.
tictoc::tic()
progressr::with_progress({
mbb_pbp <- hoopR::load_mbb_pbp()
})
tictoc::toc()## 17.72 sec elapsed
## 1956490 rows of men's college basketball play-by-play data from 6113 games.
For more information on the package and function reference, please see
the hoopR documentation
website.
Follow the SportsDataverse on Twitter and star this repo
To cite the hoopR R package
in publications, use:
BibTex Citation
@misc{gilani_2021_hoopR,
author = {Gilani, Saiem},
title = {hoopR: The SportsDataverse's R Package for Men's Basketball Data.},
url = {https://hoopR.sportsdataverse.org},
year = {2021}
}