Tom’s Biased List of R Books

Some R books for consideration to include in your personal library.

• Crawley, M.J. 2007. The R book. John Wiley and Sons, Ltd. Chichester, England.
• Crawley, M.J. 2009. Statistics: an introduction using R. John Wiley and Sons, Ltd. Chichester, England
• Dalgaard, P. 2008. Introductory statistics with R. Second edition. Springer Science+Business Media, LCC, New York, New York, USA.
• Everitt, B.S., and T. Hothorn. 2010. A handbook of statistical analyses using R. Second edition. Chapman & Hall/CRC, Boca Raton, Florida, USA.
• Horten, N.J., and K. Kleinman. 2011. Using R for data management, statistical analysis, and graphics. Chapman & Hall/CRC, Boca Raton, Florida, USA.
• Kabakoff, R.I. 2011. R in Action. Data Analysis and Graphics with R. Manning Publications, New York.
• Logan, M. 2010. Biostatistical design and analysis in R: a practical guide. Wiley-Blackwell, New York.
• Matloff, N.S. 2011. The art of R programming. A tour of statistical software design. No Starch Press, San Franciso, CA
• Sarkar, D. 2008. Lattice. Multivariate data visualization with R. Springer Science+Business Media, LCC, New York, New York, USA.
• Spector, P. 2008. Data manipulation with R. Springer Science+Business Media, LCC, New York, New York, USA.
• Teetor, P. 2011. R cookbook. O’Reilly Media, Sebastopol, CA.
• Venables, W.N., D.M. Smith, and the R Development Core Team. 2002. An introduction to R. Network Theory Limited, Clifton, United Kingdom. Zuur, A.F., E.N. Leno, and E.H.W.G. Meesters. 2009. A beginner’s guide to R. Springer Science+Business Media, LCC, New York, New York, USA.

As above, mention of these books does not constitute any form of endorsement on my part. I am also sure I have missed some good ones. And again, if you have a favorite not shown here, please send an email with the title and publisher information to me at: Course Contact

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