What Is R?

  • Jérôme Sueur
Part of the Use R! book series (USE R)


The use of the softwave R is introduced such that R codes shown in the following chapters can be understood and repeated. This introduction is a friendly guide to quickly speak R language covering topics from R local installation on a personal computer to script writing for batch processing. More specifically, objects, operators, functions, indexes, conditions, graphics, and packages dedicated to sound are treated.

Audio files:theremin.wavtheremin-slow.wav


  1. Butts CT (2008) network: a package for managing relational data in r. J Stat Softw 24(2):2–36Google Scholar
  2. Fisher RA (1936) The use of multiple measurements in taxonomic problems. Ann Eugen 7:179–188Google Scholar
  3. Ihaka R (2010) R: lessons learned, directions for the future. In: Joint statistical meetings proceedingsGoogle Scholar
  4. Ihaka R, Gentleman R (1996) R: A language for data analysis and graphics. J Comput Graph Stat 5:299–314Google Scholar
  5. Schloerke B, Crowley J, Cook D, Briatte F, Marbach M, Thoen E, Elberg A, Larmarange J (2017) GGally: Extension to ‘ggplot2’., R package
  6. Soetaert K (2014) diagram: functions for visualising simple graphs (networks), plotting flow diagrams., R package
  7. Venables WN, Ripley BD (2002) Modern applied statistics with S, 4th edn. Springer, New YorkCrossRefGoogle Scholar
  8. Wickham H (2009) ggplot2. Elegant graphics for data analysis. Springer, DordrechtGoogle Scholar
  9. Wickham H (2014) Advanced R. Chapman & Hall/CRC Press, Boca RatonCrossRefGoogle Scholar

Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Jérôme Sueur
    • 1
  1. 1.Muséum National d’Histoire naturelleParisFrance

Personalised recommendations