Showing 28 of total 28 results (show query)
sportsdataverse
hoopR:Access Men's Basketball Play by Play Data
A utility to quickly obtain clean and tidy men's basketball play by play data. Provides functions to access live play by play and box score data from ESPN<https://www.espn.com> with shot locations when available. It is also a full NBA Stats API<https://www.nba.com/stats/> wrapper. It is also a scraping and aggregating interface for Ken Pomeroy's men's college basketball statistics website<https://kenpom.com>. It provides users with an active subscription the capability to scrape the website tables and analyze the data for themselves.
Maintained by Saiem Gilani. Last updated 1 years ago.
basketballcollege-basketballespnkenpomnbanba-analyticsnba-apinba-datanba-statisticsnba-statsnba-stats-apincaancaa-basketballncaa-bracketncaa-playersncaa-ratingsncaamsportsdataverse
62.5 match 91 stars 6.93 score 261 scriptssportsdataverse
wehoop:Access Women's Basketball Play by Play Data
A utility for working with women's basketball data. A scraping and aggregating interface for the WNBA Stats API <https://stats.wnba.com/> and ESPN's <https://www.espn.com> women's college basketball and WNBA statistics. It provides users with the capability to access the game play-by-plays, box scores, standings and results to analyze the data for themselves.
Maintained by Saiem Gilani. Last updated 8 months ago.
college-basketballespnespn-statsncaancaa-basketballprofessional-basketball-datasportsdataversewnbawnba-playerswnba-statswomens-basketball
63.6 match 28 stars 5.36 score 54 scripts
tidyverse
lubridate:Make Dealing with Dates a Little Easier
Functions to work with date-times and time-spans: fast and user friendly parsing of date-time data, extraction and updating of components of a date-time (years, months, days, hours, minutes, and seconds), algebraic manipulation on date-time and time-span objects. The 'lubridate' package has a consistent and memorable syntax that makes working with dates easy and fun.
Maintained by Vitalie Spinu. Last updated 3 months ago.
3.5 match 757 stars 20.95 score 135k scripts 1.9k dependents
joongsup
uncmbb:UNC Men's Basketball Match Results Since 1949-1950 Season
Dataset contains select attributes for each match result since 1949-1950 season for UNC men's basketball team.
Maintained by Jay Lee. Last updated 4 years ago.
basketballcarolinacollegedukencaamnorth-carolinaunc
20.1 match 1 stars 3.53 score 68 scripts
flavioleccese92
euroleaguer:Euroleague and Eurocup basketball API
Unofficial API wrapper for 'Euroleague' and 'Eurocup' basketball API (<https://www.euroleaguebasketball.net/en/euroleague/>), it allows to retrieve real-time and historical standard and advanced statistics about competitions, teams, players and games.
Maintained by Flavio Leccese. Last updated 2 months ago.
analyticsbasketballdatadata-sciencelibrary
13.6 match 7 stars 4.15 score 7 scripts
robinhankin
hyper2:The Hyperdirichlet Distribution, Mark 2
A suite of routines for the hyperdirichlet distribution and reified Bradley-Terry; supersedes the 'hyperdirichlet' package; uses 'disordR' discipline <doi:10.48550/ARXIV.2210.03856>. To cite in publications please use Hankin 2017 <doi:10.32614/rj-2017-061>, and for Generalized Plackett-Luce likelihoods use Hankin 2024 <doi:10.18637/jss.v109.i08>.
Maintained by Robin K. S. Hankin. Last updated 3 days ago.
9.0 match 5 stars 6.01 score 38 scripts 1 dependents
sndmrc
BasketballAnalyzeR:Analysis and Visualization of Basketball Data
Contains data and code to accompany the book P. Zuccolotto and M. Manisera (2020) Basketball Data Science. Applications with R. CRC Press. ISBN 9781138600799.
Maintained by Marco Sandri. Last updated 2 years ago.
basketball-statsdata-analysisdata-science
11.2 match 35 stars 4.83 score 39 scripts
mariarizzo
RbyExample:Data for the Book "R by Example"
Data for the examples and exercises in the book "R by Example". Jim Albert and Maria Rizzo (2012, ISBN 978-1-4614-1365-3).
Maintained by Maria Rizzo. Last updated 8 months ago.
11.1 match 2 stars 3.94 score 22 scripts
rpruim
fastR2:Foundations and Applications of Statistics Using R (2nd Edition)
Data sets and utilities to accompany the second edition of "Foundations and Applications of Statistics: an Introduction using R" (R Pruim, published by AMS, 2017), a text covering topics from probability and mathematical statistics at an advanced undergraduate level. R is integrated throughout, and access to all the R code in the book is provided via the snippet() function.
Maintained by Randall Pruim. Last updated 1 years ago.
7.3 match 13 stars 5.85 score 108 scripts
openintrostat
openintro:Datasets and Supplemental Functions from 'OpenIntro' Textbooks and Labs
Supplemental functions and data for 'OpenIntro' resources, which includes open-source textbooks and resources for introductory statistics (<https://www.openintro.org/>). The package contains datasets used in our open-source textbooks along with custom plotting functions for reproducing book figures. Note that many functions and examples include color transparency; some plotting elements may not show up properly (or at all) when run in some versions of Windows operating system.
Maintained by Mine Çetinkaya-Rundel. Last updated 3 months ago.
3.8 match 240 stars 11.39 score 6.0k scripts
jaseziv
nblR:Data Extraction of Australian NBL Basketball Statistics
Allow users to obtain basketball statistics for the Australian basketball league 'NBL'<https://nbl.com.au/>. Stats include play-by-play, shooting locations, results and box scores for teams and players.
Maintained by Jason Zivkovic. Last updated 4 months ago.
basketball-statssports-analyticssports-stats
11.2 match 8 stars 3.60 score 9 scripts
statmanrobin
Lock5Data:Datasets for "Statistics: UnLocking the Power of Data"
Datasets for the third edition of "Statistics: Unlocking the Power of Data" by Lock^5 Includes version of datasets from earlier editions.
Maintained by Robin Lock. Last updated 4 years ago.
11.2 match 2.90 score 322 scripts
bayes-rules
bayesrules:Datasets and Supplemental Functions from Bayes Rules! Book
Provides datasets and functions used for analysis and visualizations in the Bayes Rules! book (<https://www.bayesrulesbook.com>). The package contains a set of functions that summarize and plot Bayesian models from some conjugate families and another set of functions for evaluation of some Bayesian models.
Maintained by Mine Dogucu. Last updated 3 years ago.
4.0 match 72 stars 8.06 score 466 scripts
statswithr
statsr:Companion Software for the Coursera Statistics with R Specialization
Data and functions to support Bayesian and frequentist inference and decision making for the Coursera Specialization "Statistics with R". See <https://github.com/StatsWithR/statsr> for more information.
Maintained by Merlise Clyde. Last updated 4 years ago.
bayesian-inferencecourserastatistics
3.8 match 71 stars 7.80 score 880 scripts
koki25ando
NBAloveR:Help Basketball Data Analysis
Provides interface to the online basketball data resources such as Basketball reference API <https://www.basketball-reference.com/> and helps R users analyze basketball data.
Maintained by Koki Ando. Last updated 3 years ago.
6.0 match 8 stars 4.60 score 5 scripts
schochastics
networkdata:Repository of Network Datasets
The package contains a large collection of network dataset with different context. This includes social networks, animal networks and movie networks. All datasets are in 'igraph' format.
Maintained by David Schoch. Last updated 12 months ago.
4.5 match 143 stars 5.01 score 143 scriptsstatmanrobin
Stat2Data:Datasets for Stat2
Datasets for the textbook Stat2: Modeling with Regression and ANOVA (second edition). The package also includes data for the first edition, Stat2: Building Models for a World of Data and a few functions for plotting diagnostics.
Maintained by Robin Lock. Last updated 6 years ago.
3.8 match 5 stars 4.94 score 544 scripts
mladenjovanovic
shorts:Short Sprints
Create short sprint acceleration-velocity (AVP) and force-velocity (FVP) profiles and predict kinematic and kinetic variables using the timing-gate split times, laser or radar gun data, tether devices data, as well as the data provided by the GPS and LPS monitoring systems. The modeling method utilized in this package is based on the works of Furusawa K, Hill AV, Parkinson JL (1927) <doi: 10.1098/rspb.1927.0035>, Greene PR. (1986) <doi: 10.1016/0025-5564(86)90063-5>, Chelly SM, Denis C. (2001) <doi: 10.1097/00005768-200102000-00024>, Clark KP, Rieger RH, Bruno RF, Stearne DJ. (2017) <doi: 10.1519/JSC.0000000000002081>, Samozino P. (2018) <doi: 10.1007/978-3-319-05633-3_11>, Samozino P. and Peyrot N., et al (2022) <doi: 10.1111/sms.14097>, Clavel, P., et al (2023) <doi: 10.1016/j.jbiomech.2023.111602>, Jovanovic M. (2023) <doi: 10.1080/10255842.2023.2170713>, Jovanovic M., et al (2024) <doi: 10.3390/s24092894>, and Jovanovic M., et al (2024) <doi: 10.3390/s24196192>.
Maintained by Mladen Jovanović. Last updated 5 months ago.
3.8 match 14 stars 4.45 score 4 scripts
bayesball
ProbBayes:Probability and Bayesian Modeling
Functions and datasets to accompany J. Albert and J. Hu, "Probability and Bayesian Modeling", CRC Press, (2019, ISBN: 1138492566).
Maintained by Jim Albert. Last updated 4 years ago.
3.6 match 5 stars 4.30 score 80 scripts
cran
AdvancedBasketballStats:Advanced Basketball Statistics
Provides different functionalities and calculations used in the world of basketball to analyze the statistics of the players, the statistics of the teams, the statistics of the quintets and the statistics of the plays. For more details of the calculations included in the package can be found in the book Basketball on Paper written by Dean Oliver.
Maintained by Francisco Javier Cantero. Last updated 4 years ago.
7.3 match 2.00 scoresportsdataverse
sportyR:Plot Scaled 'ggplot' Representations of Sports Playing Surfaces
Create scaled 'ggplot' representations of playing surfaces. Playing surfaces are drawn pursuant to rule-book specifications. This package should be used as a baseline plot for displaying any type of tracking data.
Maintained by Ross Drucker. Last updated 1 months ago.
footballggplot2playing-surfacessportsports-analyticssports-datasports-tracking-datasportsdataversevisualization
1.7 match 104 stars 8.08 score 97 scripts
laperez
Clustering:Techniques for Evaluating Clustering
The design of this package allows us to run different clustering packages and compare the results between them, to determine which algorithm behaves best from the data provided. See Martos, L.A.P., García-Vico, Á.M., González, P. et al.(2023) <doi:10.1007/s13748-022-00294-2> "Clustering: an R library to facilitate the analysis and comparison of cluster algorithms.", Martos, L.A.P., García-Vico, Á.M., González, P. et al. "A Multiclustering Evolutionary Hyperrectangle-Based Algorithm" <doi:10.1007/s44196-023-00341-3> and L.A.P., García-Vico, Á.M., González, P. et al. "An Evolutionary Fuzzy System for Multiclustering in Data Streaming" <doi:10.1016/j.procs.2023.12.058>.
Maintained by Luis Alfonso Perez Martos. Last updated 11 months ago.
3.3 match 5 stars 4.04 score 7 scripts
akarl46556
mvglmmRank:Multivariate Generalized Linear Mixed Models for Ranking Sports Teams
Maximum likelihood estimates are obtained via an EM algorithm with either a first-order or a fully exponential Laplace approximation as documented by Broatch and Karl (2018) <doi:10.48550/arXiv.1710.05284>, Karl, Yang, and Lohr (2014) <doi:10.1016/j.csda.2013.11.019>, and by Karl (2012) <doi:10.1515/1559-0410.1471>. Karl and Zimmerman <doi:10.1016/j.jspi.2020.06.004> use this package to illustrate how the home field effect estimator from a mixed model can be biased under nonrandom scheduling.
Maintained by Andrew T. Karl. Last updated 2 years ago.
3.6 match 2 stars 1.34 score 11 scripts
daphnaharel
sur:Companion to "Statistics Using R: An Integrative Approach"
Access to the datasets and many of the functions used in "Statistics Using R: An Integrative Approach". These datasets include a subset of the National Education Longitudinal Study, the Framingham Heart Study, as well as several simulated datasets used in the examples throughout the textbook. The functions included in the package reproduce some of the functionality of 'Stata' that is not directly available in 'R'. The package also contains a tutorial on basic data frame management, including how to handle missing data.
Maintained by Daphna Harel. Last updated 5 years ago.
3.5 match 1.26 score 18 scripts
nchenderson
rvalues:R-Values for Ranking in High-Dimensional Settings
A collection of functions for computing "r-values" from various kinds of user input such as MCMC output or a list of effect size estimates and associated standard errors. Given a large collection of measurement units, the r-value, r, of a particular unit is a reported percentile that may be interpreted as the smallest percentile at which the unit should be placed in the top r-fraction of units.
Maintained by Nicholas Henderson. Last updated 4 years ago.
3.3 match 1.30 score 20 scripts
