
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.
As of version 3.1.0, the package exports 600+ functions spanning the
NBA Stats API (nba_*), ESPN (espn_nba_* /
espn_mbb_*), KenPom (kp_*),
CollegeBasketballData (cbbd_*), Basketball-Reference
(bref_*), Bart Torvik (torvik_*), RealGM
(realgm_*), Fox Sports (fox_*), NCAA
(ncaa_mbb_*), and NBA G-League (nbagl_*), plus
load_nba_*() / load_mbb_*() /
load_ncaa_mbb_*() bulk-data loaders backed by the
sportsdataverse-data release repos.
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 pak package using the following code:
if (!requireNamespace('pak', quietly = TRUE)){
install.packages('pak')
}
pak::pak("sportsdataverse/hoopR")tictoc::tic()
progressr::with_progress({
nba_pbp <- hoopR::load_nba_pbp()
})
tictoc::toc()## 4.05 sec elapsed
## 642472 rows of NBA play-by-play data from 1325 games.
tictoc::tic()
progressr::with_progress({
mbb_pbp <- hoopR::load_mbb_pbp()
})
tictoc::toc()## 12.98 sec elapsed
## 2915731 rows of men's college basketball play-by-play data from 6275 games.
For more information on the package and function reference, please
see the hoopR
documentation website.
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}
}