CodesCodes for reproducing the case studies presented throughout the book with
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Pbox1819, Tbox1819, Obox1819, Tadd1819 having the same structure of Pbox, Tbox, Obox, Tadd) – data in .Rdata format, which can be used to reproduce the analyses presented in the book on other datasetsPbP.BDB.CLE having the same structure of PbP.BDB; note that the data frame has to be manipulated with PbP.CLE <- PbPmanipulation(PbP.BDB.CLE) in order to obtain a file with the same structure of PbP, as explained in Section 2.1 of the book). Data have been kindly made available by BigDataBall, a data provider which leverages computer-vision technologies to richen and extend sports datasets with lots of unique metrics. Since its establishment, BigDataBall has also supported many academic studies and is referred as a reliable source of validated and verified stats for NBA, MLB, NFL and WNBA – data in .Rdata format, which can be used to reproduce the analyses presented in the book on other datasets.txt format, which can be used to run additional examples, thanks to a dedicated R code (included in the compressed folder).Yiğit Aşık (2023), Examples of analysis of Alperen Şengün’s performance. Contact for information.
Jack, O. (2023). Statistics in Basketball: Settling NBA Debates analytically. Bachelor Degree Thesis, University of Luxembourg (supervisor: Christophe Ley).
Fox, A., Manisera, M., Sandri, M., & Zuccolotto, P. (2022). Analyzing Basketball Data with BasketballAnalyzeR. CHANCE, 35(3), 42-56.
Blanco, A. T. (2022). Implementación del paquete de R BasketballAnalyzeR, Máster en Estadística Aplicada, Escuela Internacional de Posgrado, Granada, Spain.
Zuccolotto, P., Manisera, M., & Sandri, M. (2021). Alley‐oop! Basketball analytics in R. Significance, 18(2), 26-31.
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