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  1. Deepayan Sarkar, 2008, Lattice: Multivariate Data Visualization with R, Springer; 1 edition.
  2. Robert Gentleman, 2008, Bioinformatics with R. Chapman & Hall/CRC.
  3. Maria L. Rizzo., 2008, Statistical Computing with R. Chapman & Hall/CRC.
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  4. Jim Albert, 2007, Bayesian Computation with R, Springer; 1 edition.
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  1. Bernhard Pfaff, 2005, Analysis of Integrated and Co-integrated Time Series with R (Use R), Springer; 1 edition.
  2. Brian S. Everitt, Torsten Hothorn, 2006, A Handbook of Statistical Analyses Using R, Chapman & Hall/CRC; 1 edition. [link] [eBook]
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  6. Robert H. Shumway, David S. Stoffer, 2006, Time Series Analysis and Its Applications: With R Examples, Springer; 2nd ed. edition.
  7. Simon Wood, 2006, Generalized Additive Models: An Introduction with R, Chapman & Hall/CRC; 1 edition. [link]
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  1. Fionn Murtagh, 2005, Correspondence Analysis and Data Coding with JAVA and R. Chapman & Hall/CRC.
  2. Jana Jureckova and Jan Picek., 2005, Robust Statistical Methods with R, Chapman & Hall/CRC; 1 edition. [link]
  3. Julian J. Faraway, 2005, Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression Models, Chapman & Hall/CRC; 1 edition.
  4. Verzani, J., 2005, Using R for introductory Statistics, Chapman & Hall/CRC. [link][link2] [reference]
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  9. Richard C. Deonier, Simon Tavaré, and Michael S. Waterman., 2005, Computational Genome Analysis: An Introduction. Springer.


  1. Brian S. Everitt., 2004, An R and S-plus companion to multivariate analysis,  New York : Springer.
  2. W.N. Venables, D.M. Smith and the R Development Core Team, 2004, An introduction to R (version 1.9.1), Bristol : Network Theory.
  3. Julian J. Faraway, 2004, Linear Models with R, Chapman & Hall/CRC; 1 edition.[link]
  4. John Verzani, 2004, Using R for Introductory Statistics, Chapman & Hall/CRC; 1 edition.
  5. Peter Dalgaard, 2004, Introductory Statistics with R, Springer, Corr. 3d printing edition.
  6. Richard M. Heiberger, Burt Holland, 2004, Statistical Analysis and Data Display: An Intermediate Course with Examples in S-PLUS, R, and SAS, Springer; 1 edition.[link]
  7. John Maindonald, 2004, Using R for Data Analysis and Graphics: Introduction, Code and Commentary.


  1. John Maindonald and John Braun, 2003, Data analysis and graphics using R : an example-based approach, Cambridge ; New York : Cambridge University Press.
  2. R Development Core Team, 2003, R Reference Manual: Base Package, Vol. 1, Network Theory.
  3. R Development Core Team, 2003, R Reference Manual: Base Package, Vol. 2, Network Theory.
  4. Sylvie Huet, Anne Bouvier, Marie-Anne Poursat, Emmanuel Jolivet, 2003, Statistical Tools for Nonlinear Regression: A Practical Guide with S-PLUS and R Examples, Springer; 2nd ed. edition.
  5. Luís Torgo, 2003, Data Mining with R: learning by case studies. [link]


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  6. Julian J. Faraway, 2002, Practical Regression and ANOVA using R.
  7. John Verzani, 2002, simpleR: Using R for Introductory Statistics.