ENST 562—R References

Books about R

Baayen, R. H. 2007. Analyzing Linguistic Data: A Practical Introduction to Statistics. Cambridge University Press, New York. (Makes extensive use of R. Preliminary version of text is online.)
Crawley, Michael J. 2005. Statistics: An Introduction Using R. Wiley, New York.
Crawley, Michael J. 2007. The R Book. Wiley, New York.
Dalgaard, Peter. 2002. Introductory statistics with R. Sringer-Verlag, New York.
Everitt, Brian S. 2005. An R and S-Plus Companion to Multivariate Analysis. Springer-Verlag, New York.
Everitt, Brian and Torsten Hothorn. 2006. A Handbook of Statistical Analyses Using R. Chapman & Hall/CRC Press, Boca Raton, FL.
Faraway, Julian J. 2005. Linear Models in R. Chapman & Hall/CRC Press, Boca Raton, FL.
Faraway, Julian J. 2005. Extending the Linear Model with R: Generalized Linear, Mixed Effects, and Nonparametric Regression Models. CRC Press, Boca Raton, FL.
Fox, John. 2002. An R and S-Plus Companion to Applied Regression. Sage Publications, Thousand Oaks, California.
Gelman, Andrew and Jennifer Hill. 2006. Data Analysis Using Regression and Multilevel/Hierarchical Models. Cambridge University Press, New York.
Heiberger, Richard M. and Holland, Burt. 2004 Statistical Analysis and Data Display: An Intermediate Course with Examples in S-Plus, R, and SAS. Springer-Verlag, New York.
Maindonald, John and Braun, John. 2003. Data Analysis and Graphics Using R. Cambridge University Press, New York.
Murrel, Paul. 2006. R Graphics. Chapman & Hall/CRC Press, Boca Raton, FL.
Seefeld, Kimberly and Linder, Ernst. 2005. R for Bioinformatics. O'Reilly Publishing, Cambridge, MA.
Venables, William N. and Smith, David M. 2002. An Introduction to R. Network Theory Limited, Bristol, United Kingdom. (available online at http://www.network-theory.co.uk/R/manual/)
Verzani, John. 2004. Using R for Introductory Statistics. Chapman & Hall/CRC Press, Boca Raton, FL.
Wood, Simon N. 2006. Generalized Additive Models: An Introduction with R. Chapman & Hall/CRC Press, Boca Raton, FL.

Books about the S Language and S-Plus

Chambers, John M. and Hastie, Trevor J. 1993. Statistical Models in S. Chapman & Hall, Boca Raton, FL.
Crawley, Michael J. 2002. Statistical Computing—An Introduction to Data Analysis Using S-Plus. Wiley, New York.
Everitt, Brian S. 1994. Statistical Analyses Using S-Plus. Chapman & Hall, Boca Raton, FL.
Everitt, Brian S. and Rabe-Hesketh, Sophia. 2001. Analyzing Medical Data Using S-Plus. Springer-Verlag, New York.
Huet, Sylvie, Bouvier, Annie, Gruet, Marie-Anne, and Jolivet, Emmanuel. 1996. Statistical Tools for Nonlinear Regression: A Practical Guide with S-Plus Examples. Springer-Verlag, New York.
Krause, Andreas K. and Olson, Melvin. The Basics of S and S-Plus. Springer-Verlag, New York.
Millard, Steven P. and Neerchal, Nagaraj K. 2001. Environmental Statistics with S-Plus. CRC Press, Boca Raton, Fl.
Pinheiro, Jose C. and Bates, Douglas M. 2000. Mixed-Effects Models in S and S-Plus. Springer-Verlag, New York.
Schumacker, Randall E. and Akers, Allen. 2001. Understanding Statistical Concepts Using S-Plus. Lawrence Erlbaum Associates, Mahwah, New Jersey.
Selvin, Steve. 1998. Modern Applied Biostatistical Methods Using S-Plus. Oxford University Press, New York.
Spector, Phil. 1994. An Introduction to S and S-Plus. Duxbury Press, Belmont CA.
Venables, W. N. and Ripley, B. D. 2002. Modern Applied Statistics with S. Springer-Verlag, New York.
Venables, W. N. and Ripley, B. D. 2000. S Programming. Springer-Verlag, New York.

Websites about Using R and S

The R Project for Statistical Computing. Site for downloading R, user-contributed R packages, and back issues of R-News. http://www.r-project.org/
StatLib. Archive of S-Plus user-contributed packages. http://lib.stat.cmu.edu/S
SimpleR (John Verzani)
Using R for data analysis and graphics [pdf (693k; 112 pgs)] (JH Maindonald)
R reference card [pdf (59k, 1 pg)] (J Baron)
K. U. Leuven's page—R and Statistics
Practical Regression and Anova in R by Julian Faraway at the University of Bath
S-Plus/R labs for vegetation ecologists (labdsv)
Karl Broman's Intro to R page.
University of Arizona Ecology and Evolutionary Biology R User's group.
Spatial Statistics in R by Brian Ripley
Website for Statistical Computing by Michael Crawley
Generalized Linear Models using R--website for Statistics 7249 at University of Florida
Laura Thompson's R manual for Alan Agresti's Categorical Data Analysis, 2nd edition.
An R tutorial for Windows
Using R for psychological research
Statistics with R--notes on using R
Dong-Yun Kim's (from Illinois State) R tutorial
Jo Hardin's (Pomona College) R tutorial
R and astronomy--a tutorial
University of Alaska at Fairbanks R tutorial
Union College R tutorials
Notes for a two-day course in R--Thomas Lumley, University of Washington
Using R for psychological research--a simple guide to an elegant package
University of Alaska at Fairbanks R tutorial
R resources at UCLA
An Introduction to R by Phil Spector, University of California at Berkeley
Center for Astrostatistics at Penn State R Tutorials
The R Guide--W. J. Owen, University of Richmond
web site for John Verzani's book, Using R for Introductory Statistics
Statistical Programming with R: Part 1
Statistical Programming with R: Part 2
JGR--Java GUI for R
R from Python--A Python interface to R
R for Introductory Statistics by Bret Larget, University of Wisconsin
The R manuals:
- An introduction to R [pdf (622k; 105 pgs)] (The official introduction)
- Writing R extensions [pdf (425k; 69 pgs)] (Explanations of writing packages and calling C from R)
- The R reference index [pdf (11M; 2150 pgs)] (The R help pages printed out)

More Technical Details about Using R and S

Jack Weiss
Phone: (919) 962-5930
E-Mail: jack_weiss@unc.edu
Address: Curriculum in Ecology, Box 3275, University of North Carolina, Chapel Hill, 27516
Copyright © 2007
Last Revised--May 17, 2007
URL: http://www.unc.edu/courses/2007spring/enst/562/001/docs/rref.html