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# Muenchen R. A. R for Stata Users. — Springer, 2010. — 542 с. — (Statistics and Computing). — ISBN 9781461406846. — URL: http://git.psylab.info/r-books/downloads/Muenchen2010.pdf.
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# Loo M. P. J. van der, Jonge E. de Learning RStudio for R Statistical Computing. — Packt Publishing, 2012. — 126 с. — ISBN 9781782160601. — URL: http://git.psylab.info/r-books/downloads/LooJonge2012.pdf.
# Lumley T. Complex Surveys: A Guide to Analysis Using R. Т. 565. — Wiley, 2010. — 296 с. — (Wiley Series in Survey Methodology). — ISBN 9780470284308. — URL: http://git.psylab.info/r-books/downloads/Lumley2010.pdf; http://git.psylab.info/r-books/downloads/Lumley2010.zip.
# MacFarland T. W. Two-Way Analysis of Variance: Statistical Tests and Graphics Using R. Т. 1. — Springer, 2011. — 135 с. — (SpringerBriefs in Statistics). — ISBN 9781461421337. — URL: http://git.psylab.info/r-books/downloads/MacFarland2011.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: http://git.psylab.info/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: http://git.psylab.info/r-books/downloads/Maindonald2010.pdf.
# Marin J.-M., Robert C. Bayesian Essentials with R. — 2-е изд. — Springer, 2013. — 312 с. — (Springer Texts in Statistics). — ISBN 9781461486862. — URL: http://git.psylab.info/r-books/downloads/MarinRobert2013.pdf.
# Mathur S. K. Statistical Bioinformatics with R. — Academic Press, 2010. — 336 с. — ISBN 9780123751041. — URL: http://git.psylab.info/r-books/downloads/Mathur2010.pdf.
# Matloff N. The Art of R Programming: tour of statistical software design. — No Starch Press, 2011. — 400 с. — ISBN 9781593273842. — URL: http://git.psylab.info/r-books/downloads/Matloff2011.pdf.
# Matthiopoulos J. How to be a Quantitative Ecologist: The ’A to R’ of Green Mathematics and Statistics. — Wiley, 2011. — 490 с. — (Aerospace Series). — ISBN 9780470699799. — URL: http://git.psylab.info/r-books/downloads/Matthiopoulos2011.pdf.
# McCallum Q. E., Weston S. Parallel R. — O’Reilly Media, 2011. — 126 с. — ISBN 9781449309923. — URL: http://git.psylab.info/r-books/downloads/McCallum2012.pdf.
# Meys J., Vries A. R For Dummies. — For Dummies, 2012. — 406 с. — ISBN 9781119962847. — URL: http://git.psylab.info/r-books/downloads/MeysVries2012.pdf.
# Millard S. P., Neerchal N. K., Dixon P. Environmental Statistics with S-PLUS. — CRC Press, 2000. — 848 с. — (Chapman & Hall/CRC Applied Environmental Statistics). — ISBN 9780849371684. — URL: http://git.psylab.info/r-books/downloads/MillardNeerchal2000.pdf; http://git.psylab.info/r-books/downloads/MillardNeerchal2000.zip.
# Mittal H. R Graphs Cookbook. — Packt Publishing, 2011. — 272 с. — ISBN 9781849513067. — URL: http://git.psylab.info/r-books/downloads/Mittal2011.pdf.
# Modeling Dose-Response Microarray Data in Early Drug Development Experiments Using R: Order-Restricted Analysis of Microarray Data / под ред. D. Lin [и др.]. — Springer, 2012. — 310 с. — (Use R!) — ISBN 9783642240065. — URL: http://git.psylab.info/r-books/downloads/Lin2012.pdf.
# Modern Actuarial Risk Theory: Using R / R. Kaas [и др.]. — 2-е изд. — Springer, 2008. — 381 с. — ISBN 9783642034077. — URL: http://git.psylab.info/r-books/downloads/Kaas2008.pdf.
# Muenchen R. A. R for SAS and SPSS Users. — 2-е изд. — Springer, 2011. — 714 с. — (Statistics and Computing). — ISBN 9781461406846. — URL: http://git.psylab.info/r-books/downloads/Muenchen2011.pdf.
# Muenchen R. A., Hilbe J. M. R for Stata Users. — Springer, 2010. — 542 с. — (Statistics and Computing). — ISBN 9781441913173. — URL: http://git.psylab.info/r-books/downloads/MuenchenHilbe2010.pdf.
# Murrell P. R Graphics. Т. 1. — 2-е изд. — CRC Press, 2011. — 546 с. — (Chapman & Hall/CRC The R Series). — ISBN 9781439831762. — URL: http://git.psylab.info/r-books/downloads/Murrell2011.pdf.
# Murtagh F. Correspondence Analysis and Data Coding with Java and R. — Chapman, Hall/CRC, 2005. — 256 с. — (Chapman & Hall/CRC Computer Science & Data Analysis). — ISBN 9781584885283. — URL: http://git.psylab.info/r-books/downloads/Murtagh2005.pdf.
# Myers W. L., Patil G. P. Multivariate Methods of Representing Relations in R for Prioritization Purposes. Т. 6. — Springer, 2012. — 315 с. — (Environmental and Ecological Statistics). — ISBN 9781461431213. — URL: http://git.psylab.info/r-books/downloads/MyersPatil2012.pdf.
# Nagarajan R., Scutari M., Lebre S. Bayesian Networks in R: with Applications in Systems Biology. Т. 48. — Springer, 2013. — 172 с. — (Use R!) — ISBN 9781461464457. — URL: http://git.psylab.info/r-books/downloads/Nagarajan2013.pdf.
# Nason G. Wavelet Methods in Statistics with R. — Springer, 2008. — 259 с. — (Use R!) — ISBN 9780387759609. — URL: http://git.psylab.info/r-books/downloads/Nason2008.pdf.
# Navarro D. J. Learning Statistics with R. — lulu.com, 2014. — 562 с. — URL: http://git.psylab.info/r-books/downloads/Navarro2014.pdf; http://git.psylab.info/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: http://git.psylab.info/r-books/downloads/Nolan2014.pdf.
# O’Gorman T. W. Adaptive Tests of Significance Using Permutations of Residuals with R and SAS. — Wiley, 2012. — 364 с. — ISBN 9780470922255. — URL: http://git.psylab.info/r-books/downloads/OGorman2012.pdf.
# Ohri A. R for Business Analytics. — Springer, 2013. — 319 с. — ISBN 9781461443421. — URL: http://git.psylab.info/r-books/downloads/Ohri2013.pdf.
# Oja H. Multivariate Nonparametric Methods with R: An approach based on spatial signs and ranks. Т. 199. — Springer, 2010. — 244 с. — (Lecture Notes in Statistics). — ISBN 9781441904676. — URL: http://git.psylab.info/r-books/downloads/Oja2010.pdf.
# Pace L. Beginning R: An Introduction to Statistical Programming. — Apress, 2012. — 336 с. — ISBN 9781430245544. — URL: http://git.psylab.info/r-books/downloads/Pace2012.pdf; http://git.psylab.info/r-books/downloads/Pace2012.zip.
# Paradis E. Analysis of Phylogenetics and Evolution with R. — 2-е изд. — Springer, 2012Springer. — 404 с. — (Use R!) — ISBN 9781461417422. — URL: http://git.psylab.info/r-books/downloads/Paradis2012.pdf.# Peng R. D., Dominici F. Statistical Methods for Environmental Epidemiology with R: A Case Study in Air Pollution and Health. — Springer, 2008. — 144 с. — (Use R!) — ISBN 9780387781662. — URL: http://git.psylab.info/r-books/downloads/PengDominici2008.pdf.# Petris G., Petrone S., Campagnoli P. Dynamic Linear Models with R. — Springer, 2009. — 252 с. — (Use R!) — ISBN 9780387772370. — URL: http://git.psylab.info/r-books/downloads/Petris2009.pdf.# Pfaff B. Analysis of Integrated and Cointegrated Time Series with R. — 2-е изд. — Springer, 2008. — 190 с. — (Use R!) — ISBN 9780387759661. — URL: http://git.psylab.info/r-books/downloads/Pfaff2008.pdf.# Pfaff B. Financial Risk Modelling and Portfolio Optimization with R. — Wiley, 2013. — 374 с. — (Statistics in Practice). — ISBN 9780470978702. — URL: http://git.psylab.info/r-books/downloads/Pfaff2013.pdf; http://git.psylab.info/r-books/downloads/Pfaff2013.zip.# Plant R. E. Spatial Data Analysis in Ecology and Agriculture Using R. — CRC Press, 2012. — 648 с. — ISBN 9781439819135. — URL: http://git.psylab.info/r-books/downloads/Plant2012.pdf.# Prajapati V. Big Data Analytics with R and Hadoop. — Packt Publishing, 2013. — 238 с. — ISBN 9781782163282. — URL: http://git.psylab.info/r-books/downloads/Prajapati2013.pdf; http://git.psylab.info/r-books/downloads/Prajapati2013.zip.# Pruscha H. Statistical Analysis of Climate Series: Analyzing, Plotting, Modeling, and Predicting with R. — Springer, 2013. — 200 с. — ISBN 9783642320835. — URL: http://git.psylab.info/r-books/downloads/Pruscha2013.pdf.# Quick J. Statistical Analysis with R Beginner’s Guide. — Packt Publishing, 2010. — 282 с. — ISBN 9781849512084. — URL: http://git.psylab.info/r-books/downloads/Quick2010.pdf; http://git.psylab.info/r-books/downloads/Quick2010.zip.
# Schumacke R., Tomek S. Understanding Statistics Using R. — Springer, 2013. — 375 с. — ISBN 9781461462262. — URL: http://git.psylab.info/r-books/downloads/SchumackeTomek2013.pdf.
# Shumway R. H., Stoffer D. S. Time Series Analysis and Its Applications: With R Examples. — 3-е изд. — Springer, 2011. — 604 с. — (Springer Texts in Statistics). — ISBN 9781441978646. — URL: http://git.psylab.info/r-books/downloads/ShumwayStoffer2011.pdf.
# Spector P. Data Manipulation with R. — Springer, 2008. — 154 с. — (Use R!) — ISBN 9780387747309. — URL: http://git.psylab.info/r-books/downloads/Spector2008.pdf.
# Statistical Methods for Hospital Monitoring with R / A. Morton [и др.]. — Wiley, 2013. — 426 с. — (Statistics in Practice). — ISBN 9781118596302. — URL: http://git.psylab.info/r-books/downloads/Morton2013.pdf; http://git.psylab.info/r-books/downloads/Morton2013.zip.
# 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: http://git.psylab.info/r-books/downloads/Huet2003.pdf.
# Takezawa K. Learning Regression Analysis by Simulation. — Springer, 2014. — 290 с. — ISBN 9784431543206. — URL: http://git.psylab.info/r-books/downloads/Takezawa2014.pdf.
