jueves, 3 de septiembre de 2009

R Libros

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.