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# 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: http://git.psylab.info/r-books/downloads/HettmanspergerMcKean2010.pdf.
# Højsgaard S., Edwards D., Lauritzen S. Graphical Models with R. — Springer, 2012. — 192 с. — (Use R!) — ISBN 9781461422983. — URL: http://git.psylab.info/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: http://git.psylab.info/r-books/downloads/Horton2010HortonKleinman2010.pdf; http://git.psylab.info/r-books/downloads/HortonKleinman2010.zip.
# 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: http://git.psylab.info/r-books/downloads/HussonLePages2010.pdf.
# Iacus S. M. Simulation and Inference for Stochastic Differential Equations: With R Examples. — Springer, 2008. — 286 с. — (Springer Series in Statistics). — ISBN 9780387758381. — URL: http://git.psylab.info/r-books/downloads/Iacus2008.pdf.
# Jureckova J., Picek J. Robust Statistical Methods with R. — Chapman, Hall/CRC, 2005. — 216 с. — ISBN 9781584884545. — URL: http://git.psylab.info/r-books/downloads/JureckovaPicek2005.pdf.
# Kabacoff R. R in Action: Data Analysis and Graphics With R. — Manning Publications, 2011. — 447 с. — (Manning Pubs Co Series). — ISBN 9781935182399. — URL: http://git.psylab.info/r-books/downloads/Kabacoff2011.pdf; http://git.psylab.info/r-books/downloads/Kabacoff2011.zip.
# Kaltenbach H.-M. A Concise Guide to Statistics. — Springer, 2011. — 110 с. — (SpringerBriefs in Statistics). — ISBN 9783642235016. — URL: http://git.psylab.info/r-books/downloads/Kaltenbach2011.pdf.
# Karian Z. A., Dudewicz E. J. Handbook of fitting statistical distributions with R. — Chapman, Hall/CRC, 2011. — 1718 с. — ISBN 9781584887119. — URL: http://git.psylab.info/r-books/downloads/KarianDudewicz2010.pdf.
# Keele L. Semiparametric Regression for the Social Sciences. — Wiley, 2008. — 230 с. — ISBN 9780470319918. — URL: http://git.psylab.info/r-books/downloads/Keele2008.pdf.
# Kenett R., Salini S. Modern Analysis of Customer Surveys: with Applications using R. — Wiley, 2012. — 524 с. — (Statistics in Practice). — ISBN 9780470971284. — URL: http://git.psylab.info/r-books/downloads/KenettSalini2012.pdf.
# Kerns G. J. Introduction to Probability and Statistics Using R. — G. Jay Kerns, 2010. — 386 с. — ISBN 9780557249794. — URL: http://git.psylab.info/r-books/downloads/Kerns2010.pdf.
# Kleinman K., Horton N. J. SAS and R: Data Management, Statistical Analysis and Graphics. — Chapman, Hall/CRC, 2009. — 343 с. — ISBN 9781420070576. — URL: http://git.psylab.info/r-books/downloads/KleinmanHorton2009.pdf; http://git.psylab.info/r-books/downloads/KleinmanHorton2009.zip.
# Klemela J. Smoothing of Multivariate Data: Density Estimation and Visualization. Т. 737. — Wiley, 2009. — 603 с. — (Wiley Series in Probability and Statistics). — ISBN 9780470290880. — URL: http://git.psylab.info/r-books/downloads/Klemela2009.pdf.
# Krause A., Olson M. The Basics of S and S-Plus. — 2-е изд. — Springer, 2000. — 400 с. — (Statistics and Computing). — ISBN 9780387989617. — URL: http://git.psylab.info/r-books/downloads/KrauseOlson2000.pdf.
# Krause A., Olson M. The Basics of S-PLUS. — 4-е изд. — Springer, 2005. — 444 с. — (Statistics and Computing). — ISBN 9780387261096. — URL: http://git.psylab.info/r-books/downloads/KrauseOlson2005.pdf.
# Kuhn M., Johnson K. Applied Predictive Modeling. — Springer, 2013. — 620 с. — ISBN 9781461468486. — URL: http://git.psylab.info/r-books/downloads/KuhnJohnson2013.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: http://git.psylab.info/r-books/downloads/Lacus2008.pdf.
# Lavine M. L. Introduction to Statistical Thought. — Orange Grove Texts Plus, 2013. — 463 с. — ISBN 9781616100483. — URL: http://git.psylab.info/r-books/downloads/Lavine2013.pdf; http://git.psylab.info/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: http://git.psylab.info/r-books/downloads/Lawrence2012.pdf.
# Ledolter J. Data Mining and Business Analytics with R. — Wiley, 2013. — 368 с. — ISBN 9781118447147. — URL: http://git.psylab.info/r-books/downloads/Ledolter2013.pdf; http://git.psylab.info/r-books/downloads/Ledolter2013.zip.
# Leipzig J., Li X. Data Mashups in R. — O’Reilly Media, 2011. — 40 с. — ISBN 9781449303532. — URL: http://git.psylab.info/r-books/downloads/Leipzig2011.pdf.
# 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.
