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# Coghlan A. Little Book of R for Biomedical Statistics. — University College Cork, 2013. — 31 с. — URL: https://bitbucket.org/psylab/r-books/downloads/Coghlan2013-1.pdf.
# Coghlan A. Little Book of R for Multivariate Analysis. — University College Cork, 2013. — 47 с. — URL: https://bitbucket.org/psylab/r-books/downloads/Coghlan2013-2.pdf.
Нет описания правки
# Chihara L., Hesterberg T. Mathematical Statistics with Resampling and R. — Wiley, 2011. — 440 с. — ISBN 9781118029855. — URL: https://bitbucket.org/psylab/r-books/downloads/ChiharaHesterberg2011.pdf.
# Clark M. Introduction to R: A First Course in R. — Center for Social Research University of Notre Dame, 2013. — 29 с. — URL: https://bitbucket.org/psylab/r-books/downloads/Clark2013.pdf.
# Coghlan A. A Little Book of R for Biomedical Statistics. — University College Cork, 2013. — 31 с. — URL: https://bitbucket.org/psylab/r-books/downloads/Coghlan2013-1.pdf.
# Coghlan A. A Little Book of R for Multivariate Analysis. — University College Cork, 2013. — 47 с. — URL: https://bitbucket.org/psylab/r-books/downloads/Coghlan2013-2.pdf.
# Coghlan A. A Little Book of R For Time Series. — University College Cork, 2014. — 71 с. — URL: https://bitbucket.org/psylab/r-books/downloads/Coghlan2014.pdf.
# Cohen Y., Cohen J. Y. Statistics and Data with R: An Applied Approach Through Examples. — Wiley, 2008. — 618 с. — ISBN 9780470758052. — URL: https://bitbucket.org/psylab/r-books/downloads/CohenCohen2008.pdf.
# Cotton R. Learning R. — O’Reilly Media, 2013. — 400 с. — ISBN 9781449357108. — URL: https://bitbucket.org/psylab/r-books/downloads/Cotton2013.pdf.
# Crawley M. J. Statistics: An Introduction Using R. — Wiley, 2005. — 342 с. — ISBN 9780470022986. — URL: https://bitbucket.org/psylab/r-books/downloads/Crawley2005.pdf; https://bitbucket.org/psylab/r-books/downloads/Crawley2005.zip.
# Crawley M. J. The R Book. — 2-е изд. — Wiley, 2013. — 1076 с. — ISBN 9780470973929. — URL: https://bitbucket.org/psylab/r-books/downloads/Crawley2013.pdf.
# Crowder M. J. Multivariate Survival Analysis and Competing Risks. Т. 92. — Chapman, Hall/CRC, 2012. — 417 с. — (Chapman & Hall/CRC Texts in Statistical Science). — ISBN 9781439875216. — URL: https://bitbucket.org/psylab/r-books/downloads/Crowder2012.pdf.
# Cryer J. D., Chan K.-S. Time Series Analysis: With Applications in R. — 2-е изд. — Springer, 2008. — 491 с. — (Springer Texts in Statistics). — ISBN 9780387759586. — URL: https://bitbucket.org/psylab/r-books/downloads/CryerChan2008.pdf.
# Dalgaard P. Introductory Statistics with R. — 2-е изд. — Springer, 2008. — 364 с. — (Statistics and Computing). — ISBN 9780387954752. — URL: https://bitbucket.org/psylab/r-books/downloads/Dalgaard2008.pdf.
# Everitt B. S., Hothorn T. An Introduction to Applied Multivariate Analysis with R. — Springer, 2011. — 288 с. — (Use R!) — ISBN 9781441996497. — URL: https://bitbucket.org/psylab/r-books/downloads/Everitt2011.pdf.
# Faraway J. J. Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression Models. — Chapman, Hall/CRC, 2005. — 312 с. — (Chapman & Hall/CRC Texts in Statistical Science). — ISBN 9781584884248. — URL: https://bitbucket.org/psylab/r-books/downloads/Faraway2005.pdf.
# Faraway J. J. Linear Models with R. — Chapman, Hall/CRC, 2004. — 240 с. — (Chapman & Hall/CRC Texts in Statistical Science). — ISBN 9781584884255. — URL: https://bitbucket.org/psylab/r-books/downloads/Faraway2004.pdf.
# Galecki A., Burzykowski T. Linear Mixed-Effects Models Using R: A Step-by-Step Approach. — Springer, 2013. — 625 с. — (Springer Texts in Statistics). — ISBN 9781461438991. — URL: https://bitbucket.org/psylab/r-books/downloads/GaleckiBurzykowski2013.pdf.
# Galwey N. W. Introduction to Mixed Modelling: Beyond Regression and Analysis of Variance. — Wiley, 2006. — 376 с. — ISBN 9780470014967. — URL: https://bitbucket.org/psylab/r-books/downloads/Galwey2006.pdf.
# Gardener M. Beginning R: The Statistical Programming Language. — Wrox, 2012. — 504 с. — ISBN 9781118164303. — URL: https://bitbucket.org/psylab/r-books/downloads/Gardener2012.pdf.
# Gentleman R. R Programming for Bioinformatics. — Chapman, Hall/CRC, 2008. — 328 с. — (Chapman & Hall/CRC Computer Science & Data Analysis). — ISBN 9781420063677. — URL: https://bitbucket.org/psylab/r-books/downloads/Gentleman2008.pdf.
# Good P. I. Introduction to Statistics Through Resampling Methods and R. — 2-е изд. — Wiley, 2013. — 224 с. — ISBN 9781118428214. — URL: https://bitbucket.org/psylab/r-books/downloads/Good2013.pdf.
# Gries S. T. Statistics for Linguistics with R. — 2-е изд. — Walter de Gruyter, 2013. — 359 с. — (Mouton Textbook). — ISBN 9783110307283. — URL: https://bitbucket.org/psylab/r-books/downloads/Gries2013.pdf.
# Hastie T., Tibshirani R., Friedman J. The Elements of Statistical Learning: Data Mining, Inference, and Prediction. — Springer, 2009. — 745 с. — (Springer Series in Statistics). — ISBN 9780387848570. — URL: https://bitbucket.org/psylab/r-books/downloads/Hastie2009.pdf.
# Hay-Jahans C. An R Companion to Linear Statistical Models. — Chapman, Hall/CRC, 2011. — 372 с. — ISBN 9781439873656. — URL: https://bitbucket.org/psylab/r-books/downloads/Hay-Jahans2011.pdf.
# Heiberger R. M., Neuwirth E. R Through Excel: A Spreadsheet Interface for Statistics, Data Analysis, and Graphics. — Springer, 2009. — 344 с. — (Use R!) — ISBN 9781441900517. — URL: https://bitbucket.org/psylab/r-books/downloads/Heiberger2009.pdf.
# Henry M., Stevens H. A Primer of Ecology with R. — Springer, 2009. — 388 с. — (Use R!) — ISBN 9780387898810. — URL: https://bitbucket.org/psylab/r-books/downloads/HenryStevens2009.pdf.
# Hettmansperger T. P., McKean J. W. Robust Nonparametric Statistical Methods and R. — 2-е изд. — CRC Press, 2010. — 553 с. — (Chapman & Hall/CRC Monographs on Statistics & Applied Probability). — ISBN 9781439809082. — URL: https://bitbucket.org/psylab/r-books/downloads/HettmanspergerMcKean2010.pdf.
# Højsgaard S., Edwards D., Lauritzen S. Graphical Models with R. — Springer, 2012. — 192 с. — (Use R!) — ISBN 9781461422983. — URL: https://bitbucket.org/psylab/r-books/downloads/HojsgaardEdwardsLauritzen2012.pdf.
# Horton N. J., Kleinman K. Using R for Data Management, Statistical Analysis, and Graphics. — Chapman, Hall/CRC, 2010. — 297 с. — ISBN 9781439827550. — URL: https://bitbucket.org/psylab/r-books/downloads/Horton2010.pdf.
# Husson F., Le S., Pages J. Exploratory Multivariate Analysis by Example Using R. — CRC Press, 2010. — 240 с. — (Chapman & Hall/CRC Computer Science & Data Analysis). — ISBN 9781439835807. — URL: https://bitbucket.org/psylab/r-books/downloads/HussonLePages2010.pdf.
# Johnson P. E. Rtips. — 2012. — 72 с. — URL: https://bitbucket.org/psylab/r-books/downloads/Johnson2012.pdf.
# Kabacoff R. R in Action: Data Analysis and Graphics With R. — Manning Publications, 2011. — 447 с. — (Manning Pubs Co Series). — ISBN 9781935182399. — URL: https://bitbucket.org/psylab/r-books/downloads/Kabacoff2011.pdf; https://bitbucket.org/psylab/r-books/downloads/Kabacoff2011.zip.
# Karian Z. A., Dudewicz E. J. Handbook of fitting statistical distributions with R. — Chapman, Hall/CRC, 2011. — 1718 с. — ISBN 9781584887119. — URL: https://bitbucket.org/psylab/r-books/downloads/KarianDudewicz2010.pdf.
# Kerns G. J. Introduction to Probability and Statistics Using R. — G. Jay Kerns, 2010. — 386 с. — ISBN 9780557249794. — URL: https://bitbucket.org/psylab/r-books/downloads/Kerns2010.pdf.
# Lacus S. M. Simulation and Inference for Stochastic Differential Equations. With R Examples. — Springer, 2008. — 286 с. — (Springer Series in Statistics). — ISBN 9780387758381. — URL: https://bitbucket.org/psylab/r-books/downloads/Lacus2008.pdf.
# Lavine M. L. Introduction to Statistical Thought. — Orange Grove Texts Plus, 2013. — 463 с. — ISBN 9781616100483. — URL: https://bitbucket.org/psylab/r-books/downloads/Lavine2013.pdf; https://bitbucket.org/psylab/r-books/downloads/Lavine2013.zip.
# Lawrence M. F., Verzani J. Programming Graphical User Interfaces in R. — Chapman, Hall/CRC, 2012. — 479 с. — (Chapman & Hall/CRC The R Series). — ISBN 9781439856826. — URL: https://bitbucket.org/psylab/r-books/downloads/Lawrence2012.pdf.
# Schumacke R., Tomek S. Understanding Statistics Using R. — Springer, 2013. — 375 с. — ISBN 9781461462262. — URL: https://bitbucket.org/psylab/r-books/downloads/SchumackeTomek2013.pdf.
# Spector P. Data Manipulation with R. — Springer, 2008. — 154 с. — (Use R!) — ISBN 9780387747309. — URL: https://bitbucket.org/psylab/r-books/downloads/Spector2008.pdf.
# Statistical Tools for Nonlinear Regression: A Practical Guide With S-PLUS and R Examples / S. Huet [и др.]. — 2-е изд. — Springer, 2003. — 234 с. — (Springer Series in Statistics). — ISBN 9780387400815. — URL: https://bitbucket.org/psylab/r-books/downloads/Huet2003.pdf.
# Teetor P. R Cookbook. — O’Reilly Media, 2011. — 438 с. — (O’Reilly Cookbooks). — ISBN 9780596809157. — URL: https://bitbucket.org/psylab/r-books/downloads/Teetor2011.pdf.
# Torgo L. Data Mining with R: Learning with Case Studies. — Chapman, Hall/CRC, 2010. — 305 с. — (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series). — ISBN 9781439810187. — URL: https://bitbucket.org/psylab/r-books/downloads/Torgo2010.pdf.
