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# Bioinformatics and Computational Biology Solutions Using R and Bioconductor / ed. by R. Gentleman [et al.]. — Springer, 2005. — 492 pp. — (Statistics for Biology and Health). — ISBN 978-0-387-25146-2. — DOI: 10.1007/0-387-29362-0. — PDF: http://git.psylab.info/r-library/downloads/Gentleman2005.pdf.
# Bivand R. S., Pebesma E., Gómez-Rubio V. Applied Spatial Data Analysis with R. — 2nd ed. — Springer, 2013. — 414 pp. — (Use R! ; 10). — ISBN 978-1-4614-7617-7. — DOI: 10.1007/978-1-4614-7618-4. — PDF: http://git.psylab.info/r-library/downloads/Bivand2013.pdf.
# Bloomfield V. A. Computer Simulation and Data Analysis in Molecular Biology and Biophysics: An Introduction Using R. — Springer, 2009. — 321 pp. — (Biological and Medical Physics, Biomedical Engineering). — ISBN 978-1-4419-0084-5. — DOI: 10.1007/978-1-4419-0083-8. — PDF: http://git.psylab.info/r-library/downloads/Bloomfield2009Bloomfield2009.pdf.# Bloomfield V. A. Using R for Numerical Analysis in Science and Engineering. — Chapman, Hall/CRC, 2014. — 352 pp. — (Chapman & Hall/CRC The R Series). — ISBN 978-1-4398-8448-5. — PDF: http://git.psylab.info/r-library/downloads/Bloomfield2014Bloomfield2014.pdf; ZIP: http://git.psylab.info/r-library/downloads/Bloomfield2014Bloomfield2014.zip.
# Bogetoft P., Otto L. Benchmarking with DEA, SFA, and R. — Springer, 2011. — 368 pp. — (International Series in Operations Research & Management Science ; 157). — ISBN 978-1-4419-7960-5. — DOI: 10.1007/978-1-4419-7961-2. — PDF: http://git.psylab.info/r-library/downloads/BogetoftOtto2011.pdf.
# Bolker B. M. Ecological Models and Data in R. — Princeton University Press, 2008. — 517 pp. — ISBN 978-0-691-12522-0. — PDF: http://git.psylab.info/r-library/downloads/Bolker2008.pdf; ZIP: http://git.psylab.info/r-library/downloads/Bolker2008.zip.
# Hettmansperger T. P., McKean J. W. Robust Nonparametric Statistical Methods and R. — 2nd ed. — CRC Press, 2011. — 553 pp. — (Chapman & Hall/CRC Monographs on Statistics & Applied Probability). — ISBN 978-1-4398-0908-2. — PDF: http://git.psylab.info/r-library/downloads/Hettmansperger2011.pdf; ZIP: http://git.psylab.info/r-library/downloads/Hettmansperger2011.zip.
# Hilbe J. M., Robinson A. P. Methods of Statistical Model Estimation. — Chapman, Hall/CRC, 2013. — 243 pp. — ISBN 978-1-4398-5802-8. — DOI: 10.1201/b14932. — PDF: http://git.psylab.info/r-library/downloads/HilbeRobinson2013.pdf.
# Hoff P. D. A First Course in Bayesian Statistical Methods. — Springer, 2009. — 270 pp. — (Springer Texts in Statistics). — ISBN 978-0-387-92299-7. — DOI: 10.1007/978-0-387-92407-6. — PDF: http://git.psylab.info/r-library/downloads/Hoff2009Hoff2009.pdf; ZIP: http://git.psylab.info/r-library/downloads/Hoff2009Hoff2009.zip.
# Højsgaard S., Edwards D., Lauritzen S. Graphical Models with R. — Springer, 2012. — 182 pp. — (Use R!) — ISBN 978-1-4614-2298-3. — DOI: 10.1007/978-1-4614-2299-0. — PDF: http://git.psylab.info/r-library/downloads/Hojsgaard2012.pdf.
# Hollander M., Wolfe D. A., Chicken E. Nonparametric Statistical Methods. — 3rd ed. — Wiley, 2014. — 848 pp. — (Wiley Series in Probability and Statistics). — ISBN 978-0-470-38737-5. — PDF: http://git.psylab.info/r-library/downloads/Hollander2014.pdf.
# Jones O., Maillardet R., Robinson A. P. Introduction to Scientific Programming and Simulation using R. — Chapman, Hall/CRC, 2009. — 472 pp. — (Chapman & Hall/CRC The R Series ; 21). — ISBN 978-1-4200-6872-6. — DOI: 10.1201/9781420068740. — PDF: http://git.psylab.info/r-library/downloads/Jones2009.pdf.
# Jureckova J., Picek J. Robust Statistical Methods with R. — Chapman, Hall/CRC, 2005. — 216 pp. — ISBN 978-1-58488-454-5. — DOI: 10.1201/9781420035131. — PDF: http://git.psylab.info/r-library/downloads/Jureckova2005.pdf.
# Kabacoff R. R in Action: Data Analysis and Graphics With R. — Manning Publications, 2011. — 447 pp. — (Manning Pubs Co Series). — ISBN 978-1-935182-39-9. — PDF: http://git.psylab.info/r-library/downloads/Kabacoff2011Kabacoff2011.pdf; ZIP: http://git.psylab.info/r-library/downloads/Kabacoff2011Kabacoff2011.zip.
# Kaltenbach H.-M. A Concise Guide to Statistics. — Springer, 2011. — 111 pp. — (SpringerBriefs in Statistics). — ISBN 978-3-642-23501-6. — DOI: 10.1007/978-3-642-23502-3. — PDF: http://git.psylab.info/r-library/downloads/Kaltenbach2012.pdf.
# Karian Z. A., Dudewicz E. J. Handbook of Fitting Statistical Distributions with R. — Chapman, Hall/CRC, 2011. — 1687 pp. — ISBN 978-1-58488-711-9. — DOI: 10.1201/b10159. — PDF: http://git.psylab.info/r-library/downloads/Karian2011.pdf; ZIP: http://git.psylab.info/r-library/downloads/Karian2011.zip.
# Martinussen T., Scheike T. H. Dynamic Regression Models for Survival Data. — Springer, 2006. — 470 pp. — (Statistics for Biology and Health). — ISBN 978-0-387-20274-7. — DOI: 10.1007/0-387-33960-4. — PDF: http://git.psylab.info/r-library/downloads/Martinussen2006.pdf.
# Mathur S. K. Statistical Bioinformatics with R. — Academic Press, 2010. — 336 pp. — ISBN 978-0-12-375104-1. — PDF: http://git.psylab.info/r-library/downloads/Mathur2010.pdf.
# Matloff N. The Art of R Programming: A Tour of Statistical Software Design. — No Starch Press, 2011. — 400 pp. — ISBN 978-1-59327-384-2. — PDF: http://git.psylab.info/r-library/downloads/Matloff2011Matloff2011.pdf; ZIP: http://git.psylab.info/r-library/downloads/Matloff2011Matloff2011.zip.
# Matthiopoulos J. How to be a Quantitative Ecologist: The ’A to R’ of Green Mathematics and Statistics. — Wiley, 2011. — 490 pp. — (Aerospace Series). — ISBN 978-0-470-69978-2. — DOI: 10.1002/9781119991595. — PDF: http://git.psylab.info/r-library/downloads/Matthiopoulos2011.pdf; ZIP: http://git.psylab.info/r-library/downloads/Matthiopoulos2011.zip.
# McCallum Q. E., Weston S. Parallel R. — O’Reilly Media, 2011. — 126 pp. — ISBN 978-1-449-30992-3. — PDF: http://git.psylab.info/r-library/downloads/McCallum2011.pdf; ZIP: http://git.psylab.info/r-library/downloads/McCallum2011.zip.
# Peng R. D., Dominici F. Statistical Methods for Environmental Epidemiology with R: A Case Study in Air Pollution and Health. — Springer, 2008. — 154 pp. — (Use R!) — ISBN 978-0-387-78166-2. — DOI: 10.1007/978-0-387-78167-9. — PDF: http://git.psylab.info/r-library/downloads/Peng2008.pdf.
# Petris G., Petrone S., Campagnoli P. Dynamic Linear Models with R. — Springer, 2009. — 252 pp. — (Use R!) — ISBN 978-0-387-77237-0. — DOI: 10.1007/b135794. — PDF: http://git.psylab.info/r-library/downloads/Petris2009.pdf; ZIP: http://git.psylab.info/r-library/downloads/Petris2009.zip.
# Pfaff B. Analysis of Integrated and Cointegrated Time Series with R. — 2nd ed. — Springer, 2008. — 190 pp. — (Use R!) — ISBN 978-0-387-75966-1. — DOI: 10.1007/978-0-387-75967-8. — PDF: http://git.psylab.info/r-library/downloads/Pfaff2008Pfaff2008.pdf; ZIP: http://git.psylab.info/r-library/downloads/Pfaff2008Pfaff2008.zip.# Pfaff B. Financial Risk Modelling and Portfolio Optimization with R. — Wiley, 2013. — 374 pp. — (Statistics in Practice). — ISBN 978-0-470-97870-2. — DOI: 10.1002/9781118477144. — PDF: http://git.psylab.info/r-library/downloads/Pfaff2013Pfaff2013.pdf; ZIP: http://git.psylab.info/r-library/downloads/Pfaff2013Pfaff2013.zip.
# Pinheiro J. C., Bates D. M. Mixed-Effects Models in Sand S-PLUS. — Springer, 2000. — 530 pp. — (Statistics and Computing). — ISBN 978-1-4419-0317-4. — DOI: 10.1007/978-1-4419-0318-1. — PDF: http://git.psylab.info/r-library/downloads/Pinheiro2000.pdf.
# Plant R. E. Spatial Data Analysis in Ecology and Agriculture Using R. — CRC Press, 2012. — 637 pp. — ISBN 978-1-4398-1914-2. — PDF: http://git.psylab.info/r-library/downloads/Plant2012.pdf.
# Shahbaba B. Biostatistics with R: An Introduction to Statistics Through Biological Data. — Springer, 2012. — 368 pp. — (Use R!) — ISBN 978-1-4614-1301-1. — DOI: 10.1007/978-1-4614-1302-8. — PDF: http://git.psylab.info/r-library/downloads/Shahbaba2012.pdf; ZIP: http://git.psylab.info/r-library/downloads/Shahbaba2012.zip.
# Sheather S. A Modern Approach to Regression with R. — Springer, 2009. — 393 pp. — (Springer Texts in Statistics). — ISBN 978-0-387-09607-0. — DOI: 10.1007/978-0-387-09608-7. — PDF: http://git.psylab.info/r-library/downloads/Sheather2009.pdf; ZIP: http://git.psylab.info/r-library/downloads/Sheather2009.zip.
# Shumway R. H., Stoffer D. S. Time Series Analysis and Its Applications: With R Examples. — 3rd ed. — Springer, 2011. — 604 pp. — (Springer Texts in Statistics). — ISBN 978-1-4419-7864-6. — DOI: 10.1007/978-1-4419-7865-3. — PDF: http://git.psylab.info/r-library/downloads/ShumwayStoffer2011ShumwayStoffer2011.pdf.
# Siegmund D., Yakir B. The Statistics of Gene Mapping. — Springer, 2007. — 337 pp. — (Statistics for Biology and Health). — ISBN 978-0-387-49684-9. — DOI: 10.1007/978-0-387-49686-3. — PDF: http://git.psylab.info/r-library/downloads/SiegmundYakir2007.pdf; ZIP: http://git.psylab.info/r-library/downloads/SiegmundYakir2007.zip.
# Sinha P. P. Bioinformatics with R Cookbook. — Packt Publishing, 2014. — 340 pp. — ISBN 978-1-78328-313-2. — PDF: http://git.psylab.info/r-library/downloads/Sinha2014.pdf.
# Tsay R. S. An Introduction to Analysis of Financial Data with R. — Wiley, 2012. — 416 pp. — (Wiley Series in Probability and Statistics). — ISBN 978-0-470-89081-3. — PDF: http://git.psylab.info/r-library/downloads/Tsay2012.pdf; ZIP: http://git.psylab.info/r-library/downloads/Tsay2012.zip.
# Tsay R. S. Multivariate Time Series Analysis: With R and Financial Applications. — Wiley, 2014. — 522 pp. — (Wiley Series in Probability and Statistics). — ISBN 978-1-118-61790-8. — PDF: http://git.psylab.info/r-library/downloads/Tsay2014.pdf.
# Tufféry S. Data Mining and Statistics for Decision Making. — Wiley, 2011. — 704 pp. — (Wiley Series in Computational Statistics). — ISBN 978-0-470-68829-8. — DOI: 10.1002/9780470979174. — PDF: http://git.psylab.info/r-library/downloads/Tuffery2011Tuffery2011.pdf; ZIP: http://git.psylab.info/r-library/downloads/Tuffery2011Tuffery2011.zip.
# Valiente G. Combinatorial Pattern Matching Algorithms in Computational Biology Using Perl and R. — Chapman, Hall/CRC, 2009. — 368 pp. — (Chapman & Hall/CRC Mathematical & Computational Biology). — ISBN 978-1-4200-6973-0. — DOI: 10.1201/9781420069747. — PDF: http://git.psylab.info/r-library/downloads/Valiente2009.pdf.
# Varmuza K., Filzmoser P. Introduction Multivariate Statistical Analysis in Chemometrics. — CRC Press, 2009. — 336 pp. — ISBN 978-1-4200-5947-2. — DOI: 10.1201/9781420059496. — PDF: http://git.psylab.info/r-library/downloads/VarmuzaFilzmoser2009.pdf.
# Zhao Y. R and Data Mining: Examples and Case Studies. — Academic Press, 2012. — 256 pp. — ISBN 978-0-123-96963-7. — PDF: http://git.psylab.info/r-library/downloads/Zhao2012.pdf; ZIP: http://git.psylab.info/r-library/downloads/Zhao2012.zip.
# Zhao Y., Cen Y. Data Mining Applications with R. — Academic Press, 2013. — 514 pp. — ISBN 978-0-12-411511-8. — PDF: http://git.psylab.info/r-library/downloads/ZhaoCen2013.pdf; ZIP: http://git.psylab.info/r-library/downloads/ZhaoCen2013.zip.
# Zieffler A. S., Harring J. R., Long J. D. Comparing Groups: Randomization and Bootstrap Methods Using R. — Wiley, 2011. — 332 pp. — ISBN 978-0-470-62169-1. — DOI: 10.1002/9781118063682. — PDF: http://git.psylab.info/r-library/downloads/ZiefflerHarringLong2011ZiefflerHarringLong2011.pdf.
# Zivot E., Wang J. Modeling Financial Time Series with S-PLUS®. — 2nd ed. — Springer, 2006. — 998 pp. — ISBN 978-0387-27965-7. — DOI: 10.1007/978-0-387-32348-0. — PDF: http://git.psylab.info/r-library/downloads/ZivotWang2006.pdf.
# Zucchini W., MacDonald I. L. Hidden Markov Models for Time Series: An Introduction Using R. — Chapman, Hall/CRC, 2009. — 278 pp. — (Chapman & Hall/CRC Monographs on Statistics & Applied Probability). — ISBN 978-1-58488-573-3. — DOI: 10.1201/9781420010893. — PDF: http://git.psylab.info/r-library/downloads/Zucchini2009.pdf; ZIP: http://git.psylab.info/r-library/downloads/Zucchini2009.zip.
# Ibaibarriaga L. Introduction to R. — 2011. — PDF: http://git.psylab.info/r-library/downloads/Ibaibarriaga2011.pdf.
# Ihaka R. Object Oriented Programming in R. — 2012. — PDF: http://git.psylab.info/r-library/downloads/Ihaka2012.pdf.
# Kabacoff R. R for Data Visualizaiton and Graphics. — 2014. — PDF: http://git.psylab.info/r-library/downloads/Kabacoff2014Kabacoff2014.pdf.
# Kutergin A. Taking R on limit. — 2012. — PDF: http://git.psylab.info/r-library/downloads/Kutergin2012.pdf.
# Lumley T. R Fundamentals and Programming Techniques. — 2006. — PDF: http://git.psylab.info/r-library/downloads/Lumley2006.pdf.
# Зарядов И. С. Статистический пакет R: теория вероятностей и математическая статистика. — Москва : Изд-во РУДНБ, 2010. — 141 с. — PDF: http://git.psylab.info/r-library/downloads/Zaryadov2010-2.pdf.
# Зорин А. В., Федоткин М. А. Введение в прикладной статистический анализ в пакете R. Учебно-методическое пособие. — Нижний Новгород : Нижегородский гос. ун-т им. Н. И. Лобачевского, 2010. — 50 с. — PDF: http://git.psylab.info/r-library/downloads/Zorin2010.pdf.
# Кабаков Р. И. R в действии: Анализ и визуализация данных в программе R / пер. с англ. П. А. Волкова. — Москва : ДМК Пресс, 2014. — 580 с. — ISBN 978-5-94074-912-7. — PDF: http://git.psylab.info/r-library/downloads/Kabacoff2014ruKabacoff2014ru.pdf.
# Коробейников А. И., Малов С. В., Матвеева И. В. Анализ данных с R: Методические указания к спецкурсу «Вычислительные методы и пакеты в статистическом исследовании». — 2010. — 12 с. — PDF: http://git.psylab.info/r-library/downloads/Korabeinikov2010.pdf.
# Коробейников А. И., Малов С. В., Матвеева И. В. Основные алгоритмы численного анализа. Использование пакета R (S-PLUS) для анализа статистических данных: методические указания к практическим занятиям по дисциплине «Вычислительная математика». — Санкт-Петербург, 2011. — 40 с. — PDF: http://git.psylab.info/r-library/downloads/Korabeinikov2011.pdf.
