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# 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.
# Dobrow R. P. Probability: With Applications and R. — Wiley, 2014. — 520 с. — ISBN 9781118241257. — URL: https://bitbucket.org/psylab/r-books/downloads/Dobrow2014.pdf.
# 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: https://bitbucket.org/psylab/r-books/downloads/DoucMoulinesStoffe2014.pdf.
# Ergul OEddelbuettel D. Seamless R and C++ Integration with Rcpp. Т. 64. — Springer, 2013. — 220 с. — (Use R!) — ISBN 9781461468677. — URL: https://bitbucket.org/psylab/r-books/downloads/Eddelbuettel2013.pdf.# Ergül Ö. Guide to Programming and Algorithms Using R. — Springer, 2013. — 200 с. — ISBN 9781447153276. — URL: https://bitbucket.org/psylab/r-books/downloads/Ergul2013.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: https://bitbucket.org/psylab/r-books/downloads/Everitt2010.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.
# 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.
# Leipzig J., Li X. Data Mashups in R. — O’Reilly Media, 2011. — 40 с. — ISBN 9781449303532. — URL: https://bitbucket.org/psylab/r-books/downloads/Leipzig2011.pdf.
# MacFarland T. W. Introduction to Data Analysis and Graphical Presentation in Biostatistics with R: Statistics in the Large. — Springer, 2014. — 165 с. — (SpringerBriefs in Statistics). — ISBN 9783319025315. — URL: https://bitbucket.org/psylab/r-books/downloads/MacFarland2014.pdf.
# Maindonald J., Braun W. J. Data Analysis and Graphics Using R: An Example-Based Approach. — 3-е изд. — Cambridge University Press, 2010. — 552 с. — (Cambridge Series in Statistical and Probabilistic Mathematics). — ISBN 9780521762939. — URL: https://bitbucket.org/psylab/r-books/downloads/Maindonald2010.pdf.
# Matloff N. The Art of R Programming: tour of statistical software design. — No Starch Press, 2011. — 400 с. — ISBN 9781593273842. — URL: https://bitbucket.org/psylab/r-books/downloads/Matloff2011.pdf.
# Muenchen R. A. R for SAS and SPSS Users. — 2-е изд. — Springer, 2011. — 714 с. — (Statistics and Computing). — ISBN 9781461406846. — URL: https://bitbucket.org/psylab/r-books/downloads/Muenchen2011.pdf.
# Navarro D. J. Learning Statistics with R. — lulu.com, 2014. — 562 с. — URL: https://bitbucket.org/psylab/r-books/downloads/Navarro2014.pdf; https://bitbucket.org/psylab/r-books/downloads/Navarro2014.zip.
# Nolan D., Temple Lang D. XML and Web Technologies for Data Sciences with R. Т. 46. — Springer, 2014. — 685 с. — (Use R!) — ISBN 9781461478997. — URL: https://bitbucket.org/psylab/r-books/downloads/Nolan2014.pdf.
# Pace L. Beginning R: An Introduction to Statistical Programming. — Apress, 2012. — 336 с. — ISBN 9781430245544. — URL: https://bitbucket.org/psylab/r-books/downloads/Pace2012.pdf; https://bitbucket.org/psylab/r-books/downloads/Pace2012.zip.
# Prajapati V. Big Data Analytics with R and Hadoop. — Packt Publishing, 2013. — 238 с. — ISBN 9781782163282. — URL: https://bitbucket.org/psylab/r-books/downloads/Prajapati2013.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.
# Takezawa K. Learning Regression Analysis by Simulation. — Springer, 2014. — 290 с. — ISBN 9784431543206. — URL: https://bitbucket.org/psylab/r-books/downloads/Takezawa2014.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.
# Verzani J. Getting Started with RStudio. — O’Reilly Media, 2011. — 98 с. — ISBN 9781449309039. — URL: https://bitbucket.org/psylab/r-books/downloads/Verzani2011.pdf.
# Wickham H. ggplot2: Elegant Graphics for Data Analysis. — Springer, 2009. — 213 с. — (Use R!) — ISBN 9780387981406. — URL: https://bitbucket.org/psylab/r-books/downloads/Wickham2009.pdf.
# Zhao Y. R and Data Mining: Examples and Case Studies. — Academic Press, 2012. — 256 с. — ISBN 9780123969637. — URL: https://bitbucket.org/psylab/r-books/downloads/Zhao2012.pdf.
# Zhao Y., Cen Y. Data Mining Applications with R. — Academic Press, 2013. — 514 с. — ISBN 9780124115118. — URL: https://bitbucket.org/psylab/r-books/downloads/ZhaoCen2013.pdf.
# Zieffler A. S., Harring J. R., Long J. D. Comparing Groups: Randomization and Bootstrap Methods Using R. — Wiley, 2011. — 332 с. — ISBN 9780470621691. — URL: https://bitbucket.org/psylab/r-books/downloads/ZiefflerHarringLong2011.pdf.
