Loading...
A systematic review of sport-related packages within the R CRAN repository
Casals, Martí Fernández, José Martínez, Victor Lopez, Michael Langohr, Klaus Cortés, Jordi
Casals, Martí
Fernández, José
Martínez, Victor
Lopez, Michael
Langohr, Klaus
Cortés, Jordi
Abstract
The sports statistics community is rapidly evolving. R is an open-source software in constant development that has gained a lot of popularity within statistical communities and sports analytics. This work presents a systematic review of the available R CRAN sport packages following PRISMA guidelines. We consider all packages active as of 18 February 2021. A total of 81 sport R packages created since 2006 were detected. Of these, 35.9% were authored by an American national, 69.1% include a dataset, 43.2% provide vignettes, and 65.4% have been updated at least once. The sport with the highest representation is basketball (n = 14, 17.3%), followed by soccer (n = 12, 14.8%) and packages related to physical activity (n = 11, 13.6%). There are no sports packages directed solely for the female gender, while 59.3% of packages are focused on professional athletes. Fifty packages (61.7%) are related to the sports performance analysis category, and web scraping (n = 43, 53.1%) was the main functionality in the collected packages. The creation of new R packages in the area of sports could help solve questions and tasks that still remain a challenge in this field, while continuing to help to improve the level of statistical education and computational thinking skills.
Keywords
data analysis, sport analytics, statistical software
Date
2023
Type
Journal article
Journal
International Journal of Sports Science and Coaching
Book
Volume
18
Issue
2
Page Range
621-629
Article Number
ACU Department
Relation URI
Source URL
Event URL
Open Access Status
License
All rights reserved
File Access
Controlled