2009

1. Song S. Qian, 2009, Environmental and Ecological Statistics with R, Chapman & Hall/CRC.

2008

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.
4. Stefano M. Iacus., 2008, Simulation and Inference for Stochastic Differential Equations: With R Examples. Springer, New York.

2007

1. Statistics with R, [link]
2. Brian S. Everitt, 2007, An R and S-Plus Companion to Multivariate Analysis, Springer; 2nd edition. [link][eBook]
3. Dianne Cook and Deborah F. Swayne, 2007, Interactive and Dynamic Graphics for Data Analysis: With R and GGobi, Springer; 1 edition.
4. Jim Albert, 2007, Bayesian Computation with R, Springer; 1 edition.
5. Joaquim P. Marques de Sá, 2007, Applied Statistics Using SPSS, STATISTICA, MATLAB and R, Springer; 2nd ed. edition.
6. Maindonald, J. , and Braun, J., 2007, Data Analysis and Graphics Using R: an example-based approach , 2nd ed., Cambridge University Press. [link][reference]
7. Crawley, M. J. , 2007, The R Book, Wiley. [reference]
8. Sandrine Dudoit, Mark J. van der Laan, 2007, Multiple Testing Procedures and Applications to Genomics, Springer; 1 edition.
9. D. G. Rossiter, 2007, Introduction to the R Project for Statistical Computing for use at ITC. [link]
10. Venables, W.N., Smith, D.M. and the R Development Core Team, 2007, An introduction to R (version 2.6.1). http://cran.r-project.org/doc/manuals/R-intro.pdf [教課書]

2006

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]
3. Emmanuel Paradis, 2006, Analysis of Phylogenetics and Evolution with R, Springer; 1 edition.
4. Julian J. Faraway., 2006, Extending the linear model with R : generalized linear, mixed effects and nonparametric regression models, Chapman & Hall/CRC. [link]
5. John Maindonald, John Braun, 2006, Data Analysis and Graphics Using R: An Example-based Approach, Cambridge University Press; 2 edition.
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]
8. 2006, R 導論(簡體), W.N. Venables, D. M. Smith 原著。[eBook]

2005

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]
5. Crawley, M. J., 2005, Statistics: An Introduction using R, Wiley; 1 edition. [link][reference]
6. Murrell, P., 2005, R graphics, Chapman & Hall/CRC; 1 edition. [link] [package][reference]
7. Robert Gentleman, Vincent Carey, Wolfgang Huber, Rafael Irizarry, Sandrine Dudoit, 2005, Bioinformatics and Computational Biology Solutions Using R and Bioconductor, Springer; 1 edition.
8. Phillip I. Good, 2005, Introduction to Statistics Through Resampling Methods and R/S-PLUS, Wiley-Interscience.
9. Richard C. Deonier, Simon Tavaré, and Michael S. Waterman., 2005, Computational Genome Analysis: An Introduction. Springer.

2004

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.

2003

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]

2002

1. Dalgaard, Peter, 2002,  Introductory statistics with R, New York : Springer. [link]
2. John Fox, 2002, An R and S Plus Companion to Applied Regression, Sage Publications, Inc; 1 edition. [link]
3. Michael J. Crawley, 2002, Statistical Computing: An Introduction to Data Analysis using S-Plus, Wiley; 1st edition.
4. W. N. Venables,and D. M. Smith, 2002, An Introduction to R, Network Theory.
5. R: Modern Applied Statistics with S-Plus
6. Julian J. Faraway, 2002, Practical Regression and ANOVA using R.
7. John Verzani, 2002, simpleR: Using R for Introductory Statistics.