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:

• Paola Zuccolotto and Marica Manisera (2020), Basketball Data Science – with Applications in R. Chapman and Hall/CRC. ISBN 9781138600799.
• Marco Sandri, Paola Zuccolotto, and Marica Manisera (2020).
  BasketballAnalyzeR: analysis and visualization of basketball data.
  https://CRAN.R-project.org/package=BasketballAnalyzeR
• Marco Sandri (2020), The R package BasketballAnalyzeR, in: Zuccolotto P. and Manisera M., Basketball Data Science – with Applications in R. Chapman and Hall/CRC, Chapter 6.
• Marica Manisera, Marco Sandri and Paola Zuccolotto (2019), BasketballAnalyzeR: the R package for basketball analytics. Proceedings of the Conference Smart Statistics for Smart Applications (SIS 2019), Università Cattolica del Sacro Cuore, Milan, 19st-21st June 2019, 395 – 402.

Download BibTeX citations for the R package BasketballAnalyzeR

How to install BasketballAnalyzeR

BasketballAnalyzeR is on CRAN and github.

Step 1 – Installing R

• Download the latest version of R from CRAN
• Install R following the instructions of the installer (you can safely use the default settings and just keep clicking Next until R starts installing)
• If you have experienced problems with the installation, read for example here or here

Step 2 – Installing BasketballAnalyzeR

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

PROCEDURE 1 – STANDARD INSTALLATION FROM CRAN

• Open R
• Write install.packages("BasketballAnalyzeR") and then press Enter
• Wait until the package is installed
• To load the BasketballAnalyzeR package, write library(BasketballAnalyzeR) and then press Enter
• To test the package, write example(shotchart) and then press Enter

PROCEDURE 2 – INSTALLATION FROM LOCAL ZIP FILE

• Download the package’s zip file
• Install it from local zip file (from the R menu: Packages -> Install package(s) from local files -> BasketballAnalyzeR_0.5.0.tar.gz)
• Wait until the package is installed (it can take several minutes)
• To load the BasketballAnalyzeR package, write library(BasketballAnalyzeR) and then press Enter
• To test the package, write example(shotchart) and then press Enter

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.

• Open R
• Write install.packages("devtools") and then press Enter
• To download and install the BasketballAnalyzeR package, write devtools::install_github("sndmrc/BasketballAnalyzeR") and then press Enter
• Wait until the package is installed (it can take several minutes)
• To load the BasketballAnalyzeR package, write library(BasketballAnalyzeR) and then press Enter
• To test the package, write example(shotchart) and then press Enter

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