BasketballAnalyzeR

BasketballAnalyzeR is an R package that accompanies the book:

P. Zuccolotto and M. Manisera (2020) Basketball Data Science – With Applications in R, Chapman and Hall/CRC. ISBN 9781138600799.

It has been developed by Marco Sandri, Paola Zuccolotto, Marica Manisera (Big&Open Data Innovation Laboratory BODaI-Lab, University of Brescia) and provides functions for analysis and visualization of Basketball Data.

This web page gives details and information about the package.


Overview of the book (Chapter Abstracts)

Everything you need to know about this book: codes for reproducing the case studies presented throughout the book with BasketballAnalyzeR, additional datasets for exercises, testimonials, related work, FAQ, errata corrige.

Basketball Data Science – with applications in R

Codes for reproducing the case studies presented throughout the book with BasketballAnalyzeR – R code checked under R-3.5.3 for Windows (64 bit) and for Mac OS X 10.11

pdf format

R format

 


Authors have invested a lot of time and effort in creating this package. Please give credit and cite BasketballAnalyzeR when you use it for data analysis.

Suggested citations:

Download BibTeX citations for the R package BasketballAnalyzeR


How to install BasketballAnalyzeR

BasketballAnalyzeR is on CRAN and github.

Step 1 – Installing R
Step 2 – Installing BasketballAnalyzeR

There are three alternative procedures, that can be optionally chosen by the user.

PROCEDURE 1 – STANDARD INSTALLATION FROM CRAN
PROCEDURE 2 – INSTALLATION FROM LOCAL ZIP FILE
PROCEDURE 3 – INSTALLATION OF THE DEVELOPMENT VERSION

With this procedure the user can install the latest version of the package, with the most recent updates in development version, not yet implemented in the CRAN version of the package.

 

With BasketballAnalyzeR the following packages are automatically installed: ggplot2, hexbin, plyr, dplyr, tidyr, rlang, magrittr, ggrepel, gridExtra, scales, MASS, directlabels, corrplot, ggplotify, network, sna, dendextend, circlize, PBSmapping, sp, operators, stringr, GGally, statnet, common, ggnetwork, readr.


Send your questions to basketballanalyzer.help@unibs.it