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# Douc R., Moulines E., Stoffe D. Nonlinear Time Series: Theory, Methods and Applications with R Examples. Т. 107. — Chapman, Hall/CRC, 2014. — 551 с. — (Chapman & Hall/CRC Texts in Statistical Science). — ISBN 9781466502253. — URL: http://git.psylab.info/r-books/downloads/DoucMoulinesStoffe2014.pdf.
# Eddelbuettel D. Seamless R and C++ Integration with Rcpp. Т. 64. — Springer, 2013. — 220 с. — (Use R!) — ISBN 9781461468677. — URL: http://git.psylab.info/r-books/downloads/Eddelbuettel2013.pdf.
# Ergul ÖO. Guide to Programming and Algorithms Using R. — Springer, 2013. — 200 с. — ISBN 9781447153276. — URL: http://git.psylab.info/r-books/downloads/Ergul2013.pdf.
# Everitt B. S. An R and S-Plus Companion to Multivariate Analysis. — 2-е изд. — Springer, 2007. — 221 с. — (Springer Texts in Statistics). — ISBN 9781852338824. — URL: http://git.psylab.info/r-books/downloads/Everitt2007.pdf.
# Everitt B. S., Hothorn T. A Handbook of Statistical Analyses Using R. — 2-е изд. — Chapman, Hall/CRC, 2010. — 376 с. — ISBN 9781420079333. — URL: http://git.psylab.info/r-books/downloads/Everitt2010.pdf.
# Faraway J. J. Linear Models with R. — Chapman, Hall/CRC, 2004. — 240 с. — (Chapman & Hall/CRC Texts in Statistical Science). — ISBN 9781584884255. — URL: http://git.psylab.info/r-books/downloads/Faraway2004.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: http://git.psylab.info/r-books/downloads/Faraway2005.pdf.
# Feigelson E. D., Babu G. J. Modern Statistical Methods for Astronomy: With R Applications. — Cambridge University Press, 2012. — 490 с. — ISBN 9780521767279. — URL: http://git.psylab.info/r-books/downloads/FeigelsonBabu2012.pdf.
# Foulkes A. S. Applied Statistical Genetics with R. For Population-based Association Studies. — Springer, 2009. — 252 с. — (Use R!) — ISBN 9780387895536. — URL: http://git.psylab.info/r-books/downloads/Foulkes2009.pdf.
# Fox J.-P. Bayesian Item Response Modeling: Theory and Applications. — Springer, 2010. — 326 с. — (Statistics for Social and Behavioral Sciences). — ISBN 9781441907417. — URL: http://git.psylab.info/r-books/downloads/Fox2010.pdf.
# Frery A. C., Perciano T. Introduction to Image Processing Using R: Learning by Examples. — Springer, 2013. — 116 с. — (SpringerBriefs in Computer Science). — ISBN 9781447149491. — URL: http://git.psylab.info/r-books/downloads/FreryPerciano2013.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: http://git.psylab.info/r-books/downloads/GaleckiBurzykowski2013.pdf.
# Gentleman R. R Programming for Bioinformatics. — Chapman, Hall/CRC, 2008. — 328 с. — (Chapman & Hall/CRC Computer Science & Data Analysis). — ISBN 9781420063677. — URL: http://git.psylab.info/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: http://git.psylab.info/r-books/downloads/Good2013.pdf.
# Gries S. T. Quantitative Corpus Linguistics with R. A Practical Introduction. — Routledge, 2009. — 256 с. — ISBN 9780415962704. — URL: http://git.psylab.info/r-books/downloads/Gries2009.pdf.
# Gries S. T. Statistics for Linguistics with R. — 2-е изд. — Walter de Gruyter, 2013. — 359 с. — (Mouton Textbook). — ISBN 9783110307283. — URL: http://git.psylab.info/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: http://git.psylab.info/r-books/downloads/Hastie2009.pdf.
