Skip to main content
SpringerLink
Log in

An Overview of the R Language

  • Chapter
  • First Online:
R for Marketing Research and Analytics

Part of the book series: Use R! ((USE R))

  • 18k Accesses

Abstract

In this chapter, we cover just enough of the R language to get you going. If you’re new to programming, this chapter will get you started well enough to be productive and we’ll call out ways to learn more at the end. R is a great place to learn to program because its environment is clean and much simpler than traditional programming languages such as Java or C++. If you’re an experienced programmer in another language, you should skim this chapter to learn the essentials.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 64.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 84.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Albert, J., & Rizzo, M. L. (2012). R by example. New York: Springer.

    Google Scholar 

  2. Chambers, J. M. (2008). Software for data analysis: Programming with R. New York: Springer.

    Google Scholar 

  3. Dalgaard, P. (2008). Introductory statistics with R. New York: Springer.

    Google Scholar 

  4. Lander, J. P. (2013). R for everyone: Advanced analytics and graphics. Reading: Addison-Wesley.

    Google Scholar 

  5. Matloff, N. S. (2011). The art of R programming: A tour of statistical software design. San Francisco: No Starch Press.

    Google Scholar 

  6. R Core Team (2014). R data import/export (version 3.1.1). Technical Report, R Core Team. http://cran.r-project.org/doc/manuals/r-release/R-data.html.

  7. R Core Team (2014). R language definition (version 3.1.1 draft). Technical Report, R Core Team.

    Google Scholar 

  8. RStudio (2014). RStudio: Integrated development environment for R. Boston: RStudio. http://www.rstudio.org/, version 0.98.1049.

  9. Teetor, P. (2011). R Cookbook. Sebastopol: O’Reilly Media.

    Google Scholar 

  10. Wickham, H. (2014). Advanced R. Boca Raton: Chapman & Hall/CRC.

    Google Scholar 

  11. Zuur, A. F., Ieno, E. N., & Meesters, E. H. (2009). A beginner’s guide to R. New York: Springer.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Google, Inc., Seattle, WA, USA

    Chris Chapman

  2. LeBow College of Business, Drexel University, Philadelphia, PA, USA

    Elea McDonnell Feit

Authors
  1. Chris Chapman
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Elea McDonnell Feit
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Chris Chapman .

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this chapter

Cite this chapter

Chapman, C., Feit, E.M. (2015). An Overview of the R Language. In: R for Marketing Research and Analytics. Use R!. Springer, Cham. https://doi.org/10.1007/978-3-319-14436-8_2

Download citation

Publish with us

Policies and ethics

Search

Navigation