Просмотр исходного текста страницы R:Литература

{{mbox
  |type       = warning
  |text       = '''Авторское право'''
  |text-small =  Все представленные на данной странице ресурсы взяты из открытых источников, являются собственностью их авторов и издательств и предназначены исключительно для ознакомительных целей.
}}

В данном материале представлен список книг, статей, ресурсов по языку программирования [http://www.r-project.org/ R], находящихся в открытом доступе. Полное библиографическое описание представленных материалов в формате [http://mirrors.ibiblio.org/CTAN/macros/latex/contrib/biblatex/doc/biblatex.pdf Biblatex] находится по следующей ссылкам:

* Англоязычные источники:
:* http://git.psylab.info/r-library/src/master/bibs/en-books.bib;
:* http://git.psylab.info/r-library/src/master/bibs/en-online.bib;
:* http://git.psylab.info/r-library/src/master/bibs/en-presents.bib;
* Русскоязычные источники:
:* http://git.psylab.info/r-library/src/master/bibs/ru-articles.bib;
:* http://git.psylab.info/r-library/src/master/bibs/ru-books.bib;
:* http://git.psylab.info/r-library/src/master/bibs/ru-online.bib;
:* http://git.psylab.info/r-library/src/master/bibs/ru-presents.bib.

Нижеприведённый список сформирован с помощью стиля <code>gost-numeric</code> из пакета [http://mirrors.ibiblio.org/CTAN/macros/latex/contrib/biblatex-contrib/biblatex-gost/doc/biblatex-gost.pdf Biblatex-GOST].

== На английском языке ==

=== Книги ===

# Abedin J. Data Manipulation with R. — Packt Publishing, 2014. — 103 pp. — ISBN 978-1-78328-109-1. — URL: http://git.psylab.info/r-library/downloads/Abedin2014.pdf; http://git.psylab.info/r-library/downloads/Abedin2014.zip.
# Adler J. R in a Nutshell: A Desktop Quick Reference. — 2nd ed. — O’Reilly Media, 2012. — 724 pp. — (In a Nutshell). — ISBN 978-1-449-31208-4. — URL: http://git.psylab.info/r-library/downloads/Adler2012.pdf.
# Advances in Social Science Research Using R / ed. by H. D. Vinod. — Springer, 2010. — 205 pp. — (Lecture Notes in Statistics ; 196). — ISBN 978-1-4419-1763-8. — DOI: 10.1007/978-1-4419-1764-5. — URL: http://git.psylab.info/r-library/downloads/Vinod2010.pdf.
# Aizaki H., Nakatani T., Sato K. Stated Preference Methods Using R. — Chapman, Hall/CRC, 2014. — 254 pp. — (Chapman & Hall/CRC The R Series). — ISBN 978-1-4398-9048-6. — URL: http://git.psylab.info/r-library/downloads/Aizaki2014.pdf.
# Albert J. Bayesian Computation With R. — 2nd ed. — Springer, 2009. — 304 pp. — (Use R!) — ISBN 978-0-387-92297-3. — DOI: 10.1007/978-0-387-92298-0. — URL: http://git.psylab.info/r-library/downloads/Albert2009.pdf.
# Albert J., Rizzo M. R by Example. — Springer, 2012. — 374 pp. — (Use R!) — ISBN 978-1-4614-1364-6. — DOI: 10.1007/978-1-4614-1365-3. — URL: http://git.psylab.info/r-library/downloads/Albert2012.pdf.
# Allerhand M. A Tiny Handbook of R. — Springer, 2011. — 94 pp. — (SpringerBriefs in Statistics). — ISBN 978-3-642-17979-2. — DOI: 10.1007/978-3-642-17980-8. — URL: http://git.psylab.info/r-library/downloads/Allerhand2011.pdf.
# Altham P. M. E. Introduction to Statistical Modelling in R. — University of Cambridge, 2012. — 115 pp. — URL: http://git.psylab.info/r-library/downloads/Altham2012.pdf.
# An Introduction to Statistical Learning: with Applications in R / G. James [et al.]. — Springer, 2013. — 430 pp. — (Springer Texts in Statistics). — ISBN 978-1-4614-7137-0. — DOI: 10.1007/978-1-4614-7138-7. — URL: http://git.psylab.info/r-library/downloads/James2013.pdf; http://git.psylab.info/r-library/downloads/James2013.zip.
# Analyzing Spatial Models of Choice and Judgment with R / D. A. Armstrong II [et al.]. — Chapman, Hall/CRC, 2014. — 351 pp. — (Statistics in the Social and Behavioral Sciences). — ISBN 978-1-4665-1716-5. — URL: http://git.psylab.info/r-library/downloads/Armstrong2014.pdf.
# Ando T. Bayesian Model Selection and Statistical Modeling. — Chapman, Hall/CRC, 2010. — 300 pp. — (Statistics: A Series of Textbooks and Monographs). — ISBN 978-1-4398-3614-9. — URL: http://git.psylab.info/r-library/downloads/Ando2010.pdf; http://git.psylab.info/r-library/downloads/Ando2010.zip.
# Aragón T. J. Applied Epidemiology Using R. — 2013. — 240 pp. — URL: http://git.psylab.info/r-library/downloads/Aragon2013.pdf.
# Arratia A. Computational Finance: An Introductory Course with R. — Atlantis Press, 2014. — 305 pp. — (Atlantis Studies in Computational Finance and Financial Engineering ; 1). — ISBN 978-94-6239-069-0. — DOI: 10.2991/978-94-6239-070-6. — URL: http://git.psylab.info/r-library/downloads/Arratia2014.pdf.
# Azzalini A., Capitanio A. The Skew-Normal and Related Families. — Cambridge University Press, 2014. — 272 pp. — ISBN 978-1-107-02927-9. — URL: http://git.psylab.info/r-library/downloads/Azzalini2014.pdf.
# Baayen R. H. Analyzing Linguistic Data: A Practical Introduction to Statistics using R. — Cambridge University Press, 2008. — 369 pp. — ISBN 978-0-521-70918-7. — URL: http://git.psylab.info/r-library/downloads/Baayen2008.pdf.
# Barker T. Pro Data Visualization using R and JavaScript. — Apress, 2013. — 207 pp. — ISBN 978-1-4302-5806-3. — URL: http://git.psylab.info/r-library/downloads/Barker2013.pdf.
# Basic R for Finance / D. Würtz [et al.]. — Zurich : Rmetrics Association & Finance Online Publishing, 2010. — 312 pp. — ISBN 978-3-906041-02-5. — URL: http://git.psylab.info/r-library/downloads/Wurtz2010.pdf.
# Beaujean A. A. Latent Variable Modeling Using R: A Step-by-Step Guide. — Routledge, 2014. — 218 pp. — ISBN 978-1-84872-698-7. — URL: http://git.psylab.info/r-library/downloads/Beaujean2014.pdf; http://git.psylab.info/r-library/downloads/Beaujean2014.zip.
# Beckerman A. P., Petchey O. L. Getting Started with R: An introduction for Biologists. — Oxford University Press, 2012. — 128 pp. — (Oxford Biology). — ISBN 978–0–19–960162–2. — URL: http://git.psylab.info/r-library/downloads/Beckerman2012.pdf.
# Beeley C. Web Application Development with R Using Shiny. — Packt Publishing, 2013. — 110 pp. — ISBN 978-1-78328-447-4. — URL: http://git.psylab.info/r-library/downloads/Beeley2013.pdf; http://git.psylab.info/r-library/downloads/Beeley2013.zip.
# Berridge D. M., Crouchley R. Multivariate Generalized Linear Mixed Models Using R. — CRC Press, 2011. — 284 pp. — ISBN 978-1-4398-1327-0. — URL: http://git.psylab.info/r-library/downloads/Berridge2011.pdf.
# Beyersmann J., Allignol A., Schumacher M. Competing Risks and Multistate Models with R. — Springer, 2012. — 249 pp. — (Use R!) — ISBN 978-1-4614-2034-7. — DOI: 10.1007/978-1-4614-2035-4. — URL: http://git.psylab.info/r-library/downloads/Beyersmann2012.pdf.
# Bioconductor Case Studies / F. Hahne [et al.]. — Springer, 2008. — 296 pp. — (Use R!) — ISBN 978-0-387-77239-4. — DOI: 10.1007/978-0-387-77240-0. — URL: http://git.psylab.info/r-library/downloads/Hahne2008.pdf.
# 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. — URL: 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. — URL: 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. — URL: http://git.psylab.info/r-library/downloads/Bloomfield2009.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. — URL: http://git.psylab.info/r-library/downloads/Bloomfield2014.pdf; http://git.psylab.info/r-library/downloads/Bloomfield2014.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. — URL: 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. — URL: http://git.psylab.info/r-library/downloads/Bolker2008.pdf; http://git.psylab.info/r-library/downloads/Bolker2008.zip.
# Boogaart K. G. van den, Tolosana-Delgado R. Analyzing Compositional Data with R. — Springer, 2013. — 269 pp. — (Use R!) — ISBN 978-3-642-36808-0. — DOI: 10.1007/978-3-642-36809-7. — URL: http://git.psylab.info/r-library/downloads/Boogaart2013.pdf.
# Boos D. D., Stefanski L. A. Essential Statistical Inference: Theory and Methods. — Springer, 2013. — 567 pp. — (Springer Texts in Statistics ; 120). — ISBN 978-1-4614-4817-4. — DOI: 10.1007/978-1-4614-4818-1. — URL: http://git.psylab.info/r-library/downloads/BoosStefanski2013.pdf.
# Borcard D., Gillet F., Legendre P. Numerical Ecology with R. — Springer, 2011. — 319 pp. — (Use R!) — ISBN 978-1-4419-7975-9. — DOI: 10.1007/978-1-4419-7976-6. — URL: http://git.psylab.info/r-library/downloads/Borcard2011.pdf.
# Braun W. J., Murdoch D. J. A First Course in Statistical Programming with R. — Cambridge University Press, 2007. — 175 pp. — ISBN 978-0-511-50614-7. — URL: http://git.psylab.info/r-library/downloads/Braun2007.pdf.
# Bretz F., Hothorn T., Westfall P. Multiple Comparisons Using R. — Chapman, Hall/CRC, 2011. — 194 pp. — ISBN 978-1-58488-574-0. — URL: http://git.psylab.info/r-library/downloads/Bretz2011.pdf.
# Broman K. W., Sen S. A Guide to QTL Mapping with R/qtl. — Springer, 2009. — 412 pp. — (Statistics for Biology and Health). — ISBN 978-0-387-92124-2. — DOI: 10.1007/978-0-387-92125-9. — URL: http://git.psylab.info/r-library/downloads/BromanSen2009.pdf; http://git.psylab.info/r-library/downloads/BromanSen2009.zip.
# Broström G. Event History Analysis with R. — CRC Press, 2012. — 234 pp. — (Chapman & Hall/CRC The R Series). — ISBN 978-1-4398-3164-9. — URL: http://git.psylab.info/r-library/downloads/Brostroem2012.pdf.
# Burns P. The R Inferno. — 2011. — 126 pp. — URL: http://git.psylab.info/r-library/downloads/Burns2011.pdf.
# Buuren S. van Flexible Imputation of Missing Data. — Chapman, Hall/CRC, 2012. — 342 pp. — (Chapman & Hall/CRC Interdisciplinary Statistics). — ISBN 978-1-4398-6824-9. — URL: http://git.psylab.info/r-library/downloads/vanBuuren2012.pdf.
# Cano E. L., Moguerza J. M., Redchuk A. Six Sigma with R: Statistical Engineering for Process Improvement. — Springer, 2012. — 296 pp. — (Use R! ; 36). — ISBN 978-1-4614-3651-5. — DOI: 10.1007/978-1-4614-3652-2. — URL: http://git.psylab.info/r-library/downloads/Cano2012.pdf.
# Carmona R. Statistical Analysis of Financial Data in R. — 2nd ed. — Springer, 2014. — 595 pp. — (Springer Texts in Statistics). — ISBN 978-1-4614-8787-6. — DOI: 10.1007/978-1-4614-8788-3. — URL: http://git.psylab.info/r-library/downloads/Carmona2014.pdf.
# Chambers J. M. Programming with Data: A Guide to the S Language. — Springer, 1998. — 486 pp. — ISBN 978-0-387-98503-9. — URL: http://git.psylab.info/r-library/downloads/Chambers1998.pdf.
# Chambers J. M. Software for Data Analysis: Programming with R. — Springer, 2008. — 514 pp. — (Statistics and Computing). — ISBN 978-0-387-75935-7. — DOI: 10.1007/978-0-387-75936-4. — URL: http://git.psylab.info/r-library/downloads/Chambers2008.pdf.
# Chambers J. M., Hastie T. J. Statistical models in S. — Chapman, Hall/CRC, 1991. — 608 pp. — ISBN 978-0-412-83040-2. — URL: http://git.psylab.info/r-library/downloads/Chambers1991.pdf.
# Chan N. H. Time Series: Applications to Finance with R and S-Plus. — 2nd ed. — Wiley, 2010. — 316 pp. — (Wiley Series in Probability and Statistics ; 837). — ISBN 978-0-470-58362-3. — URL: http://git.psylab.info/r-library/downloads/Chan2010.pdf; http://git.psylab.info/r-library/downloads/Chan2010.zip.
# Chang M. Adaptive design theory and implementation using SAS and R. — Chapman, Hall/CRC, 2008. — 441 pp. — (Chapman & Hall/CRC Biostatistics Series). — ISBN 978-1-58488-962-5. — URL: http://git.psylab.info/r-library/downloads/Chang2008.pdf.
# Chang S. S. Exploring Everyday Things with R and Ruby: Learning About Everyday Things. — O’Reilly Media, 2012. — 252 pp. — ISBN 978-1-449-31515-3. — URL: http://git.psylab.info/r-library/downloads/Chang2012.pdf.
# Chang W. R Graphics Cookbook. — O’Reilly Media, 2012. — 413 pp. — ISBN 978-1-449-31695-2. — URL: http://git.psylab.info/r-library/downloads/Chang2012-1.pdf.
# Chatterjee S., Simonoﬀ J. S. Handbook of Regression Analysis. — Wiley, 2013. — 237 pp. — (Wiley Handbooks in Applied Statistics ; 5). — ISBN 978-0-470-88716-5. — URL: http://git.psylab.info/r-library/downloads/Chatterjee2013.pdf; http://git.psylab.info/r-library/downloads/Chatterjee2013.zip.
# Chen D.-G., Peace K. E. Clinical Trial Data Analysis Using R. — CRC Press, 2011. — 381 pp. — (Chapman & Hall/CRC Biostatistics Series). — ISBN 978-1-4398-4021-4. — URL: http://git.psylab.info/r-library/downloads/Chen2011.pdf.
# Chen D.-G., Peace K. E. Applied Meta-Analysis with R. — Chapman, Hall/CRC, 2013. — 336 pp. — (Chapman & Hall/CRC Biostatistics Series ; 59). — ISBN 978-1-4665-0600-8. — URL: http://git.psylab.info/r-library/downloads/Chen2013.pdf.
# Chernick M. R., LaBudde R. A. An Introduction to Bootstrap Methods with Applications to R. — Wiley, 2011. — 236 pp. — ISBN 978-0-470-46704-6. — URL: http://git.psylab.info/r-library/downloads/Chernick2011.pdf; http://git.psylab.info/r-library/downloads/Chernick2011.zip.
# Cheung Y. K. Dose Finding by the Continual Reassessment Method. — Chapman, Hall/CRC, 2011. — 200 pp. — (Chapman & Hall/CRC Biostatistics Series ; 41). — ISBN 978-1-4200-9151-9. — URL: http://git.psylab.info/r-library/downloads/Cheung2011.pdf.
# Chihara L. M., Hesterberg T. C. Mathematical Statistics with Resampling and R. — Wiley, 2011. — 434 pp. — ISBN 978-1-118-02985-5. — URL: http://git.psylab.info/r-library/downloads/Chihara2011.pdf; http://git.psylab.info/r-library/downloads/Chihara2011.zip.
# Clark M. Introduction to R: A First Course in R. — Center for Social Research University of Notre Dame, 2013. — 29 pp. — URL: http://git.psylab.info/r-library/downloads/Clark2013.pdf.
# Claude J. Morphometrics with R. — Springer, 2008. — 316 pp. — (Use R!) — ISBN 978-0-387-77789-4. — DOI: 10.1007/978-0-387-77789-4. — URL: http://git.psylab.info/r-library/downloads/Claude2008.pdf.
# Coghlan A. A Little Book of R for Biomedical Statistics. — University College Cork, 2013. — 31 pp. — URL: http://git.psylab.info/r-library/downloads/Coghlan2013-1.pdf.
# Coghlan A. A Little Book of R for Multivariate Analysis. — University College Cork, 2013. — 47 pp. — URL: http://git.psylab.info/r-library/downloads/Coghlan2013-2.pdf.
# Coghlan A. A Little Book of R for Time Series. — University College Cork, 2014. — 71 pp. — URL: http://git.psylab.info/r-library/downloads/Coghlan2014.pdf.
# Cohen Y., Cohen J. Y. Statistics and Data with R: An Applied Approach Through Examples. — Wiley, 2008. — 603 pp. — ISBN 978-0-470-75805-2. — URL: http://git.psylab.info/r-library/downloads/Cohen2008.pdf.
# Computational Actuarial Science with R / ed. by A. Charpentier. — Chapman, Hall/CRC, 2014. — 604 pp. — (Chapman & Hall/CRC The R Series). — ISBN 978-1-4665-9259-9. — URL: http://git.psylab.info/r-library/downloads/Charpentier2014.pdf.
# Cook D., Swayne D. F. Interactive and Dynamic Graphics for Data Analysis: With R and Ggobi. — Springer, 2007. — 188 pp. — (Use R!) — ISBN 978-0-387-71761-6. — DOI: 10.1007/978-0-387-71762-3. — URL: http://git.psylab.info/r-library/downloads/Cook2007.pdf.
# Cotton R. Learning R. — O’Reilly Media, 2013. — 400 pp. — ISBN 978-1-449-35710-8. — URL: http://git.psylab.info/r-library/downloads/Cotton2013.pdf.
# Cowles M. K. Applied Bayesian Statistics: With R and OpenBUGS Examples. — Springer, 2013. — 240 pp. — (Springer Texts in Statistics ; 98). — ISBN 978-1-4614-5695-7. — DOI: 10.1007/978-1-4614-5696-4. — URL: http://git.psylab.info/r-library/downloads/Cowles2013.pdf.
# Cowpertwait P. S. P., Metcalfe A. Introductory Time Series with R. — Springer, 2009. — 262 pp. — (Use R!) — ISBN 978-0-387-88697-8. — DOI: 10.1007/978-0-387-88698-5. — URL: http://git.psylab.info/r-library/downloads/Cowpertwait2009.pdf.
# Crawley M. J. Statistics: An Introduction Using R. — Wiley, 2005. — 334 pp. — ISBN 978-0-470-02298-6. — URL: http://git.psylab.info/r-library/downloads/Crawley2005.pdf; http://git.psylab.info/r-library/downloads/Crawley2005.zip.
# Crawley M. J. The R Book. — 2nd ed. — Wiley, 2013. — 1076 pp. — ISBN 978-0-470-97392-9. — URL: http://git.psylab.info/r-library/downloads/Crawley2013.pdf; http://git.psylab.info/r-library/downloads/Crawley2013.zip.
# Crawley M. J. Statistics: An Introduction Using R. — 2nd ed. — Wiley, 2014. — 336 pp. — ISBN 978-1-118-94109-6. — URL: http://git.psylab.info/r-library/downloads/Crawley2014.pdf.
# Crowder M. J. Multivariate Survival Analysis and Competing Risks. — Chapman, Hall/CRC, 2012. — 396 pp. — (Chapman & Hall/CRC Texts in Statistical Science ; 92). — ISBN 978-1-4398-7521-6. — URL: http://git.psylab.info/r-library/downloads/Crowder2012.pdf; http://git.psylab.info/r-library/downloads/Crowder2012.zip.
# Cryer J. D., Chan K.-S. Time Series Analysis: With Applications in R. — 2nd ed. — Springer, 2008. — 491 pp. — (Springer Texts in Statistics). — ISBN 978-0-387-75958-6. — DOI: 10.1007/978-0-387-75959-3. — URL: http://git.psylab.info/r-library/downloads/Cryer2008.pdf; http://git.psylab.info/r-library/downloads/Cryer2008.zip.
# Curran J. M. Introduction to Data Analysis with R for Forensic Scientists. — CRC Press, 2010. — 317 pp. — (International Forensic Science and Investigation ; 21). — ISBN 978-1-4200-8826-7. — URL: http://git.psylab.info/r-library/downloads/Curran2010.pdf.
# Dalgaard P. Introductory Statistics with R. — 2nd ed. — Springer, 2008. — 364 pp. — (Statistics and Computing). — ISBN 978-0-387-79053-4. — DOI: 10.1007/978-0-387-79054-1. — URL: http://git.psylab.info/r-library/downloads/Dalgaard2008.pdf.
# Danneman N., Heimann R. Social Media Mining with R: Deploy cutting-edge sentiment analysis techniques to real-world social media data using R. — Packt Publishing, 2014. — 122 pp. — ISBN 978-1-78328-177-0. — URL: http://git.psylab.info/r-library/downloads/Danneman2014.pdf; http://git.psylab.info/r-library/downloads/Danneman2014.zip.
# Demidenko E. Mixed Models: Theory and Applications with R. — 2nd ed. — Wiley, 2013. — 754 pp. — (Wiley Series in Probability and Statistics). — ISBN 978-1-118-09157-9. — URL: http://git.psylab.info/r-library/downloads/Demidenko2013.pdf; http://git.psylab.info/r-library/downloads/Demidenko2013.zip.
# Deshmukh S. Multiple Decrement Models in Insurance: An Introduction Using R. — Springer, 2012. — 220 pp. — ISBN 978-81-322-0658-3. — DOI: 10.1007/978-81-322-0659-0. — URL: http://git.psylab.info/r-library/downloads/Deshmukh2012.pdf.
# Dobrow R. P. Probability: With Applications and R. — Wiley, 2014. — 520 pp. — ISBN 978-1-118-24125-7. — URL: http://git.psylab.info/r-library/downloads/Dobrow2014.pdf.
# Douc R., Moulines E., Stoﬀe D. Nonlinear Time Series: Theory, Methods and Applications with R Examples. — Chapman, Hall/CRC, 2014. — 551 pp. — (Chapman & Hall/CRC Texts in Statistical Science ; 107). — ISBN 978-1-4665-0225-3. — URL: http://git.psylab.info/r-library/downloads/Douc2014.pdf.
# Dudoit S., Laan M. J. van der Multiple Testing Procedures with Applications to Genomics. — Springer, 2008. — 611 pp. — (Springer Series in Statistics). — ISBN 978-0-387-49316-9. — DOI: 10.1007/978-0-387-49317-6. — URL: http://git.psylab.info/r-library/downloads/Dudoit2008.pdf.
# Eddelbuettel D. Seamless R and C++ Integration with Rcpp. — Springer, 2013. — 220 pp. — (Use R! ; 64). — ISBN 978-1-4614-6867-7. — DOI: 10.1007/978-1-4614-6868-4. — URL: http://git.psylab.info/r-library/downloads/Eddelbuettel2013.pdf.
# Ekstrom C. T. The R Primer. — Chapman, Hall/CRC, 2011. — 299 pp. — ISBN 978-1-4398-6206-3. — URL: http://git.psylab.info/r-library/downloads/Ekstrom2011.pdf; http://git.psylab.info/r-library/downloads/Ekstrom2011.zip.
# Ergül Ö. Guide to Programming and Algorithms Using R. — Springer, 2013. — 200 pp. — ISBN 978-1-4471-5327-6. — DOI: 10.1007/978-1-4471-5328-3. — URL: http://git.psylab.info/r-library/downloads/Ergul2013.pdf; http://git.psylab.info/r-library/downloads/Ergul2013.zip.
# Everitt B. S. An R and S-Plus® Companion to Multivariate Analysis. — 2nd ed. — Springer, 2007. — 221 pp. — (Springer Texts in Statistics). — ISBN 978-1-85233-882-4. — DOI: 10.1007/b138954. — URL: http://git.psylab.info/r-library/downloads/Everitt2007.pdf; http://git.psylab.info/r-library/downloads/Everitt2007.zip.
# Everitt B. S., Hothorn T. A Handbook of Statistical Analyses Using R. — 2nd ed. — Chapman, Hall/CRC, 2010. — 376 pp. — ISBN 978-1-4200-7933-3. — URL: http://git.psylab.info/r-library/downloads/Everitt2010.pdf.
# Everitt B. S., Hothorn T. An Introduction to Applied Multivariate Analysis with R. — Springer, 2011. — 283 pp. — (Use R!) — ISBN 978-1-4419-9649-7. — DOI: 10.1007/978-1-4419-9650-3. — URL: http://git.psylab.info/r-library/downloads/Everitt2011.pdf.
# Everitt B. S., Rabe-Hesketh S. Analyzing Medical Data Using S-PLUS. — Springer, 2001. — 487 pp. — (Statistics for Biology and Health). — ISBN 978-1-4419-3176-4. — DOI: 10.1007/978-1-4757-3285-6. — URL: http://git.psylab.info/r-library/downloads/Everitt2001.pdf.
# Falissard F. Analysis of Questionnaire Data with R. — Chapman, Hall/CRC, 2011. — 280 pp. — ISBN 978-1-4398-1766-7. — URL: http://git.psylab.info/r-library/downloads/Falissard2011.pdf; http://git.psylab.info/r-library/downloads/Falissard2011.zip.
# Faraway J. J. Practical Regression and Anova using R. — University of Bath, 2002. — 212 pp. — URL: http://git.psylab.info/r-library/downloads/Faraway2002.pdf.
# Faraway J. J. Linear Models with R. — Chapman, Hall/CRC, 2004. — 240 pp. — (Chapman & Hall/CRC Texts in Statistical Science ; 63). — ISBN 978-1-58488-425-5. — URL: http://git.psylab.info/r-library/downloads/Faraway2004.pdf; http://git.psylab.info/r-library/downloads/Faraway2004.zip.
# Faraway J. J. Extending the Linear Model with R: Generalized Linear, Mixed Eﬀects and Nonparametric Regression Models. — Chapman, Hall/CRC, 2006. — 345 pp. — (Chapman & Hall/CRC Texts in Statistical Science). — ISBN 978-1-58488-424-8. — URL: http://git.psylab.info/r-library/downloads/Faraway2006.pdf; http://git.psylab.info/r-library/downloads/Faraway2006.zip.
# Feigelson E. D., Babu G. J. Modern Statistical Methods for Astronomy: With R Applications. — Cambridge University Press, 2012. — 490 pp. — ISBN 978-0-521-76727-9. — URL: http://git.psylab.info/r-library/downloads/Feigelson2012.pdf; http://git.psylab.info/r-library/downloads/Feigelson2012.zip.
# Finch W. H., Bolin J. E., Kelley K. Multilevel Modeling Using R. — CRC Press, 2014. — 226 pp. — (Statistics for Social and Behavioral Sciences). — ISBN 978-1-4665-1586-4. — URL: http://git.psylab.info/r-library/downloads/Finch2014.pdf.
# Foulkes A. S. Applied Statistical Genetics with R: For Population-based Association Studies. — Springer, 2009. — 252 pp. — (Use R!) — ISBN 978-0-387-89553-6. — DOI: 10.1007/978-0-387-89554-3. — URL: http://git.psylab.info/r-library/downloads/Foulkes2009.pdf; http://git.psylab.info/r-library/downloads/Foulkes2009.zip.
# Fox J.-P. An R and S-Plus® Companion to Applied Regression. — SAGE Publications, Inc, 2002. — 330 pp. — ISBN 978-0-7619-2280-3. — URL: http://git.psylab.info/r-library/downloads/Fox2002.pdf.
# Fox J.-P. Bayesian Item Response Modeling: Theory and Applications. — Springer, 2010. — 326 pp. — (Statistics for Social and Behavioral Sciences). — ISBN 978-1-4419-0741-7. — DOI: 10.1007/978-1-4419-0742-4. — URL: http://git.psylab.info/r-library/downloads/Fox2010.pdf; http://git.psylab.info/r-library/downloads/Fox2010.zip.
# Frery A. C., Perciano T. Introduction to Image Processing Using R: Learning by Examples. — Springer, 2013. — 95 pp. — (SpringerBriefs in Computer Science). — ISBN 978-1-4471-4949-1. — DOI: 10.1007/978-1-4471-4950-7. — URL: http://git.psylab.info/r-library/downloads/Frery2013.pdf; http://git.psylab.info/r-library/downloads/Frery2013.zip.
# Gaetan C., Guyon X. Spatial Statistics and Modeling. — Springer, 2010. — 308 pp. — (Springer Series in Statistics). — ISBN 978-0-387-92256-0. — DOI: 10.1007/978-0-387-92257-7. — URL: http://git.psylab.info/r-library/downloads/Gaetan2010.pdf.
# Galecki A., Burzykowski T. Linear Mixed-Eﬀects Models Using R: A Step-by-Step Approach. — Springer, 2013. — 625 pp. — (Springer Texts in Statistics). — ISBN 978-1-4614-3899-1. — DOI: 10.1007/978-1-4614-3900-4. — URL: http://git.psylab.info/r-library/downloads/Galecki2013.pdf.
# Galwey N. W. Introduction to Mixed Modelling: Beyond Regression and Analysis of Variance. — Wiley, 2006. — 377 pp. — ISBN 978-0-470-01496-7. — URL: http://git.psylab.info/r-library/downloads/Galwey2006.pdf; http://git.psylab.info/r-library/downloads/Galwey2006.zip.
# Gardener M. Beginning R: The Statistical Programming Language. — Wrox, 2012. — 504 pp. — ISBN 978-1-118-16430-3. — URL: http://git.psylab.info/r-library/downloads/Gardener2012.pdf; http://git.psylab.info/r-library/downloads/Gardener2012.zip.
# Gardener M. The Essential R Reference. — Wiley, 2013. — 578 pp. — ISBN 978-1-118-39141-9. — URL: http://git.psylab.info/r-library/downloads/Gardener2013.pdf; http://git.psylab.info/r-library/downloads/Gardener2013.zip.
# Gelman A., Hill J. Data Analysis Using Regression and Multilevel/Hierarchical Models. — Cambridge University Press, 2006. — 651 pp. — ISBN 978-0-521-86706-1. — URL: http://git.psylab.info/r-library/downloads/Gelman2006.pdf.
# Gentleman R. R Programming for Bioinformatics. — Chapman, Hall/CRC, 2008. — 328 pp. — (Chapman & Hall/CRC Computer Science & Data Analysis). — ISBN 978-1-4200-6367-7. — URL: http://git.psylab.info/r-library/downloads/Gentleman2008.pdf; http://git.psylab.info/r-library/downloads/Gentleman2008.zip.
# Gilli M., Maringer D., Schumann E. Numerical Methods and Optimization in Finance. — Academic Press, 2011. — 584 pp. — ISBN 978-0-12-375662-6. — URL: http://git.psylab.info/r-library/downloads/Gilli2011.pdf; http://git.psylab.info/r-library/downloads/Gilli2011.zip.
# Good P. I. Introduction to Statistics Through Resampling Methods and R. — 2nd ed. — Wiley, 2013. — 217 pp. — ISBN 978-1-118-42821-4. — URL: http://git.psylab.info/r-library/downloads/Good2013.pdf.
# Greenacre M. Correspondence Analysis in Practice. — 2nd ed. — Chapman, Hall/CRC, 2007. — 296 pp. — (Chapman & Hall/CRC Interdisciplinary Statistics). — ISBN 978-1-58488-616-7. — URL: http://git.psylab.info/r-library/downloads/Greenacre2007.pdf.
# Gries S. T. Quantitative Corpus Linguistics with R: A Practical Introduction. — Routledge, 2009. — 256 pp. — ISBN 978-0-415-96270-4. — URL: http://git.psylab.info/r-library/downloads/Gries2009.pdf; http://git.psylab.info/r-library/downloads/Gries2009.zip.
# Gries S. T. Statistics for Linguistics with R: A Practical Introduction. — 2nd ed. — De Gruyter Mouton, 2013. — 375 pp. — (Mouton Textbook). — ISBN 978-3-11-030747-4. — URL: http://git.psylab.info/r-library/downloads/Gries2013.pdf; http://git.psylab.info/r-library/downloads/Gries2013.zip.
# Hastie T., Tibshirani R., Friedman J. The Elements of Statistical Learning: Data Mining, Inference, and Prediction. — 2nd ed. — Springer, 2009. — 745 pp. — (Springer Series in Statistics). — ISBN 978-0-387-84857-0. — DOI: 10.1007/978-0-387-84858-7. — URL: http://git.psylab.info/r-library/downloads/Hastie2009.pdf; http://git.psylab.info/r-library/downloads/Hastie2009.zip.
# Hay-Jahans C. An R Companion to Linear Statistical Models. — Chapman, Hall/CRC, 2011. — 372 pp. — ISBN 978-1-4398-7365-6. — URL: http://git.psylab.info/r-library/downloads/Hay-Jahans2011.pdf; http://git.psylab.info/r-library/downloads/Hay-Jahans2011.zip.
# Heiberger R. M., Holland B. Statistical Analysis and Data Display: An Intermediate Course with Examples in S-Plus, R, and SAS. — Springer, 2004. — 730 pp. — (Springer Texts in Statistics). — ISBN 978-1-4419-2320-2. — DOI: 10.1007/978-1-4757-4284-8. — URL: http://git.psylab.info/r-library/downloads/Heiberger2004.pdf.
# Heiberger R. M., Neuwirth E. R Through Excel: A Spreadsheet Interface for Statistics, Data Analysis, and Graphics. — Springer, 2009. — 344 pp. — (Use R!) — ISBN 978-1-4419-0051-7. — DOI: 10.1007/978-1-4419-0052-4. — URL: http://git.psylab.info/r-library/downloads/Heiberger2009.pdf.
# Helsel D. R. Statistics for Censored Environmental Data Using Minitab and R. — 2nd ed. — Wiley, 2012. — 344 pp. — (Statistics in Practice ; 77). — ISBN 978-0-470-47988-9. — URL: http://git.psylab.info/r-library/downloads/Helsel2012.pdf.
# Henry M., Stevens H. A Primer of Ecology with R. — Springer, 2009. — 388 pp. — (Use R!) — ISBN 978-0-387-89881-0. — DOI: 10.1007/978-0-387-89882-7. — URL: http://git.psylab.info/r-library/downloads/HenryStevens2009.pdf; http://git.psylab.info/r-library/downloads/HenryStevens2009.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. — URL: http://git.psylab.info/r-library/downloads/Hettmansperger2011.pdf; 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. — URL: 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. — URL: http://git.psylab.info/r-library/downloads/Hoff2009.pdf; http://git.psylab.info/r-library/downloads/Hoff2009.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. — URL: 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. — URL: http://git.psylab.info/r-library/downloads/Hollander2014.pdf.
# Horton N. J., Kleinman K. Using R for Data Management, Statistical Analysis, and Graphics. — CRC Press, 2010. — 296 pp. — ISBN 978-1-4398-2755-0. — URL: http://git.psylab.info/r-library/downloads/Horton2010.pdf; http://git.psylab.info/r-library/downloads/Horton2010.zip.
# Husson F., Le S., Pages J. Exploratory Multivariate Analysis by Example Using R. — CRC Press, 2010. — 240 pp. — (Chapman & Hall/CRC Computer Science & Data Analysis). — ISBN 978-1-4398-3580-7. — URL: http://git.psylab.info/r-library/downloads/Husson2010.pdf; http://git.psylab.info/r-library/downloads/Husson2010.zip.
# Iacus S. M. Simulation and Inference for Stochastic Diﬀerential Equations: With R Examples. — Springer, 2008. — 286 pp. — (Springer Series in Statistics ; 1). — ISBN 978-0-387-75838-1. — DOI: 10.1007/978-0-387-75839-8. — URL: http://git.psylab.info/r-library/downloads/Iacus2008.pdf.
# Iacus S. M. Option Pricing and Estimation of Financial Models with R. — Wiley, 2011. — 472 pp. — ISBN 978-0-470-74584-7. — URL: http://git.psylab.info/r-library/downloads/Iacus2011.pdf.
# Implementing Reproducible Research / ed. by V. Stodden, F. Leisch, R. D. Peng. — Chapman, Hall/CRC, 2014. — 448 pp. — (Chapman & Hall/CRC The R Series). — ISBN 978-1-4665-6159-5. — DOI: 10.1201/b16868. — URL: http://git.psylab.info/r-library/downloads/Stodden2014.pdf; http://git.psylab.info/r-library/downloads/Stodden2014.zip.
# Interval-Censored Time-to-Event Data: Methods and Applications / ed. by D.-G. Chen, J. Sun, K. E. Peace. — Chapman, Hall/CRC, 2012. — 426 pp. — (Chapman & Hall/CRC Biostatistics Series ; 52). — ISBN 978-1-4665-0428-8. — URL: http://git.psylab.info/r-library/downloads/Chen2012.pdf.
# Introduction to R for Quantitative Finance / G. Daróczi [et al.]. — Packt Publishing, 2013. — 164 pp. — ISBN 978-1-78328-093-3. — URL: http://git.psylab.info/r-library/downloads/DarocziPuhle2013.pdf; http://git.psylab.info/r-library/downloads/DarocziPuhle2013.zip.
# Janacek G. Unlock the Secrets of R. — 2007. — 72 pp. — URL: http://git.psylab.info/r-library/downloads/Janacek2007.pdf.
# Janert P. K. Data Analysis with Open Source Tools. — O’Reilly Media, 2010. — 540 pp. — ISBN 978-0-596-80235-6. — URL: http://git.psylab.info/r-library/downloads/Janert2010.pdf; http://git.psylab.info/r-library/downloads/Janert2010.zip.
# Jank W. Business Analytics for Managers. — Springer, 2011. — 189 pp. — (Use R!) — ISBN 978-1-4614-0405-7. — DOI: 10.1007/978-1-4614-0406-4. — URL: http://git.psylab.info/r-library/downloads/Jank2011.pdf.
# Jockers M. L. Text Analysis with R for Students of Literature. — Springer, 2014. — 199 pp. — (Quantitative Methods in the Humanities and Social Sciences). — ISBN 978-3-319-03163-7. — DOI: 10.1007/978-3-319-03164-4. — URL: http://git.psylab.info/r-library/downloads/Jockers2014.pdf.
# Johnson P. E. Rtips. Revival 2014! — 2014. — 72 pp. — URL: http://git.psylab.info/r-library/downloads/Johnson2014.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. — URL: 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. — URL: 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. — URL: http://git.psylab.info/r-library/downloads/Kabacoff2011.pdf; http://git.psylab.info/r-library/downloads/Kabacoff2011.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. — URL: 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. — URL: http://git.psylab.info/r-library/downloads/Karian2011.pdf; http://git.psylab.info/r-library/downloads/Karian2011.zip.
# Kateri M. Contingency Table Analysis: Methods and Implementation Using R. — Springer, 2014. — 315 pp. — (Statistics for Industry and Technology). — ISBN 978-0-8176-4810-7. — DOI: 10.1007/978-0-8176-4811-4. — URL: http://git.psylab.info/r-library/downloads/Kateri2014.pdf.
# Keele L. Semiparametric Regression for the Social Sciences. — Wiley, 2008. — 230 pp. — ISBN 978-0-470-31991-8. — URL: http://git.psylab.info/r-library/downloads/Keele2008.pdf; http://git.psylab.info/r-library/downloads/Keele2008.zip.
# Kenett R., Salini S. Modern Analysis of Customer Surveys: with Applications using R. — Wiley, 2012. — 524 pp. — (Statistics in Practice). — ISBN 978-0-470-97128-4. — URL: http://git.psylab.info/r-library/downloads/KenettSalini2012.pdf; http://git.psylab.info/r-library/downloads/KenettSalini2012.zip.
# Kenett R., Zacks S. Modern Industrial Statistics: with applications in R, MINITAB and JMP. — 2nd ed. — Wiley, 2014. — 586 pp. — (Statistics in Practice). — ISBN 978-1-118-45606-4. — URL: http://git.psylab.info/r-library/downloads/Kenett2014.pdf; http://git.psylab.info/r-library/downloads/Kenett2014.zip.
# Kerns G. J. Introduction to Probability and Statistics Using R. — G. Jay Kerns, 2010. — 396 pp. — ISBN 978-0-557-24979-4. — URL: http://git.psylab.info/r-library/downloads/Kerns2010.pdf.
# Kleiber C., Zeileis A. Applied Econometrics with R. — Springer, 2008. — 222 pp. — (Use R!) — ISBN 978-0-387-77316-2. — DOI: 10.1007/978-0-387-77318-6. — URL: http://git.psylab.info/r-library/downloads/Kleiber2008.pdf.
# Kleinman K., Horton N. J. SAS and R: Data Management, Statistical Analysis and Graphics. — 2nd ed. — Chapman, Hall/CRC, 2014. — 425 pp. — ISBN 978-1-4665-8450-1. — URL: http://git.psylab.info/r-library/downloads/Kleinman2014.pdf; http://git.psylab.info/r-library/downloads/Kleinman2014.zip.
# Klemelä J. Smoothing of Multivariate Data: Density Estimation and Visualization. — Wiley, 2009. — 603 pp. — (Wiley Series in Probability and Statistics ; 737). — ISBN 978-0-470-29088-0. — URL: http://git.psylab.info/r-library/downloads/Klemela2009.pdf.
# Klemelä J. Multivariate Nonparametric Regression and Visualization: With R and Applications to Finance. — Wiley, 2014. — 396 pp. — (Wiley series in computational statistics). — ISBN 978-0-470-38442-8. — URL: http://git.psylab.info/r-library/downloads/Klemela2014.pdf.
# Knoblauch K., Maloney L. T. Modeling Psychophysical Data in R. — Springer, 2012. — 367 pp. — (Use R! ; 32). — ISBN 978-1-4614-4474-9. — DOI: 10.1007/978-1-4614-4475-6. — URL: http://git.psylab.info/r-library/downloads/Knoblauch2012.pdf.
# Kolaczyk E. D., Csárdi G. Statistical Analysis of Network Data with R. — Springer, 2014. — 207 pp. — (Use R! ; 65). — ISBN 978-1-4939-0982-7. — DOI: 10.1007/978-1-4939-0983-4. — URL: http://git.psylab.info/r-library/downloads/Kolaczyk2014.pdf.
# Krause A., Olson M. The Basics of S and S-Plus. — 2nd ed. — Springer, 2000. — 403 pp. — (Statistics and Computing). — ISBN 978-0-387-98961-7. — DOI: 10.1007/b98847. — URL: http://git.psylab.info/r-library/downloads/KrauseOlson2000.pdf.
# Krause A., Olson M. The Basics of S-PLUS. — 4th ed. — Springer, 2005. — 455 pp. — (Statistics and Computing). — ISBN 978-0-387-26109-6. — DOI: 10.1007/0-387-28390-0. — URL: http://git.psylab.info/r-library/downloads/KrauseOlson2005.pdf.
# Kruschke J. K. Doing Bayesian Data Analysis: A Tutorial Introduction with R and BUGS. — Academic Press, 2010. — 542 pp. — ISBN 978-0-12-381485-2. — URL: http://git.psylab.info/r-library/downloads/Kruschke2010.pdf.
# Kuhn M., Johnson K. Applied Predictive Modeling. — Springer, 2013. — 620 pp. — ISBN 978-1-4614-6848-6. — DOI: 10.1007/978-1-4614-6849-3. — URL: http://git.psylab.info/r-library/downloads/Kuhn2013.pdf.
# Kuhnert P. M., Venables W. N. An Introduction to R: Software for Statistical Modelling & Computing. — CSIRO Mathematical, Information Sciences, Australia, 2005. — 364 pp. — URL: http://git.psylab.info/r-library/downloads/Kuhnert2005.pdf; http://git.psylab.info/r-library/downloads/Kuhnert2005.zip.
# Lamigueiro O. P. Displaying Time Series, Spatial, and Space-Time Data with R. — Chapman, Hall/CRC, 2014. — 206 pp. — (Chapman & Hall/CRC The R Series). — ISBN 978-1-4665-6522-7. — URL: http://git.psylab.info/r-library/downloads/Lamigueiro2014.pdf; http://git.psylab.info/r-library/downloads/Lamigueiro2014.zip.
# Lantz B. Machine Learning with R. — Packt Publishing, 2013. — 396 pp. — ISBN 978-1-78216-214-8. — URL: http://git.psylab.info/r-library/downloads/Lantz2013.pdf; http://git.psylab.info/r-library/downloads/Lantz2013.zip.
# Lavine M. L. Introduction to Statistical Thought. — 2013. — 463 pp. — URL: http://git.psylab.info/r-library/downloads/Lavine2013.pdf; http://git.psylab.info/r-library/downloads/Lavine2013.zip.
# Lawrence M. F., Verzani J. Programming Graphical User Interfaces in R. — Chapman, Hall/CRC, 2012. — 479 pp. — (Chapman & Hall/CRC The R Series). — ISBN 978-1-4398-5683-3. — URL: http://git.psylab.info/r-library/downloads/Lawrence2012.pdf.
# Ledolter J. Data Mining and Business Analytics with R. — Wiley, 2013. — 479 pp. — ISBN 978-1-118-44714-7. — URL: http://git.psylab.info/r-library/downloads/Ledolter2013.pdf; http://git.psylab.info/r-library/downloads/Ledolter2013.zip.
# Leipzig J., Li X. Data Mashups in R. — O’Reilly Media, 2011. — 40 pp. — ISBN 978-1-449-30353-2. — URL: http://git.psylab.info/r-library/downloads/Leipzig2011.pdf.
# Li Y., Baron J. Behavioral Research Data Analysis with R. — Springer, 2012. — 245 pp. — (Use R!) — ISBN 978-1-4614-1237-3. — DOI: 10.1007/978-1-4614-1238-0. — URL: http://git.psylab.info/r-library/downloads/LiBaron2012.pdf.
# Lindsey J. K. Statistical Analysis of Stochastic Processes in Time. — Cambridge University Press, 2004. — 354 pp. — (Cambridge Series in Statistical and Probabilistic Mathematics ; 14). — ISBN 978-0-521-83741-5. — URL: http://git.psylab.info/r-library/downloads/Lindsey2004.pdf; http://git.psylab.info/r-library/downloads/Lindsey2004.zip.
# Logan M. Biostatistical Design and Analysis Using R: A Practical Guide. — Wiley-Blackwell, 2010. — 576 pp. — ISBN 978-1-4443-3524-8. — URL: http://git.psylab.info/r-library/downloads/Logan2010.pdf; http://git.psylab.info/r-library/downloads/Logan2010.zip.
# Loo M. P. J. van der, Jonge E. de Learning RStudio for R Statistical Computing. — Packt Publishing, 2012. — 126 pp. — ISBN 978-1-78216-060-1. — URL: http://git.psylab.info/r-library/downloads/LooJonge2012.pdf.
# Lumley T. Complex Surveys: A Guide to Analysis Using R. — Wiley, 2010. — 297 pp. — (Wiley Series in Survey Methodology ; 565). — ISBN 978-0-470-28430-8. — URL: http://git.psylab.info/r-library/downloads/Lumley2010.pdf; http://git.psylab.info/r-library/downloads/Lumley2010.zip.
# MacFarland T. W. Two-Way Analysis of Variance: Statistical Tests and Graphics Using R. — Springer, 2012. — 150 pp. — (SpringerBriefs in Statistics ; 1). — ISBN 978-1-4614-2133-7. — DOI: 10.1007/978-1-4614-2134-4. — URL: http://git.psylab.info/r-library/downloads/MacFarland2012.pdf; http://git.psylab.info/r-library/downloads/MacFarland2012.zip.
# MacFarland T. W. Introduction to Data Analysis and Graphical Presentation in Biostatistics with R: Statistics in the Large. — Springer, 2014. — 167 pp. — (SpringerBriefs in Statistics). — ISBN 978-3-319-02531-5. — DOI: 10.1007/978-3-319-02532-2. — URL: http://git.psylab.info/r-library/downloads/MacFarland2014.pdf; http://git.psylab.info/r-library/downloads/MacFarland2014.zip.
# Mahajan S. Street-Fighting Mathematics: The Art of Educated Guessing and Opportunistic Problem Solving. — The MIT Press, 2010. — 152 pp. — ISBN 978-0-262-51429-3. — URL: http://git.psylab.info/r-library/downloads/Mahajan2010.pdf.
# Maindonald J. H., Braun W. J. Data Analysis and Graphics Using R: An Example-Based Approach. — 3rd ed. — Cambridge University Press, 2010. — 565 pp. — (Cambridge Series in Statistical and Probabilistic Mathematics). — ISBN 978-0-521-76293-9. — URL: http://git.psylab.info/r-library/downloads/Maindonald2010.pdf; http://git.psylab.info/r-library/downloads/Maindonald2010.zip.
# Marin J.-M., Robert C. Bayesian Essentials with R. — 2nd ed. — Springer, 2014. — 312 pp. — (Springer Texts in Statistics). — ISBN 978-1-4614-8686-2. — DOI: 10.1007/978-1-4614-8687-9. — URL: http://git.psylab.info/r-library/downloads/MarinRobert2014.pdf.
# Marques de Sá J. P. Applied Statistics Using SPSS, STATISTICA, MATLAB and R. — Springer, 2007. — 520 pp. — ISBN 978-3-540-71971-7. — DOI: 10.1007/978-3-540-71972-4. — URL: http://git.psylab.info/r-library/downloads/MarquesdeSa2007.pdf.
# 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. — URL: 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. — URL: 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. — URL: http://git.psylab.info/r-library/downloads/Matloff2011.pdf; http://git.psylab.info/r-library/downloads/Matloff2011.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. — URL: http://git.psylab.info/r-library/downloads/Matthiopoulos2011.pdf; 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. — URL: http://git.psylab.info/r-library/downloads/McCallum2011.pdf; http://git.psylab.info/r-library/downloads/McCallum2011.zip.
# Meys J., Vries A. R For Dummies. — For Dummies, 2012. — 406 pp. — ISBN 978-1-119-96284-7. — URL: http://git.psylab.info/r-library/downloads/MeysVries2012.pdf; http://git.psylab.info/r-library/downloads/MeysVries2012.zip.
# Micheaux P. L. de, Drouilhet R., Liquet B. The R Software: Fundamentals of Programming and Statistical Analysis. — Springer, 2013. — 628 pp. — (Statistics and Computing ; 40). — ISBN 978-1-4614-9019-7. — DOI: 10.1007/978-1-4614-9020-3. — URL: http://git.psylab.info/r-library/downloads/deMicheaux2013.pdf.
# Millard S. P. EnvStats: An R Package for Environmental Statistics. — 2nd ed. — Springer, 2013. — 305 pp. — ISBN 978-1-4614-8455-4. — DOI: 10.1007/978-1-4614-8456-1. — URL: http://git.psylab.info/r-library/downloads/Millard2013.pdf.
# Millard S. P., Neerchal N. K., Dixon P. Environmental Statistics with S-PLUS. — CRC Press, 2000. — 848 pp. — (Chapman & Hall/CRC Applied Environmental Statistics). — ISBN 978-0-849-37168-4. — URL: http://git.psylab.info/r-library/downloads/Millard2000.pdf; http://git.psylab.info/r-library/downloads/Millard2000.zip.
# Mirman D. Growth Curve Analysis and Visualization Using R. — Chapman, Hall/CRC, 2014. — 188 pp. — (Chapman & Hall/CRC The R Series). — ISBN 978-1-4665-8433-4. — URL: http://git.psylab.info/r-library/downloads/Mirman2014.pdf.
# Mittal H. V. R Graphs Cookbook. — Packt Publishing, 2011. — 272 pp. — ISBN 978-1-849513-06-7. — URL: http://git.psylab.info/r-library/downloads/Mittal2011.pdf; http://git.psylab.info/r-library/downloads/Mittal2011.zip.
# Mixed Eﬀects Models and Extensions in Ecology with R / A. F. Zuur [et al.]. — Springer, 2009. — 574 pp. — (Statistics for Biology and Health). — ISBN 978-0-387-87457-9. — DOI: 10.1007/978-0-387-87458-6. — URL: http://git.psylab.info/r-library/downloads/Zuur2009.pdf; http://git.psylab.info/r-library/downloads/Zuur2009.zip.
# Modeling Dose-Response Microarray Data in Early Drug Development Experiments Using R: Order-Restricted Analysis of Microarray Data / ed. by D. Lin [et al.]. — Springer, 2012. — 282 pp. — (Use R!) — ISBN 978-3-642-24006-5. — DOI: 10.1007/978-3-642-24007-2. — URL: http://git.psylab.info/r-library/downloads/Lin2012.pdf.
# Modern Actuarial Risk Theory: Using R / R. Kaas [et al.]. — 2nd ed. — Springer, 2008. — 394 pp. — ISBN 978-3-540-70992-3. — DOI: 10.1007/978-3-540-70998-5. — URL: http://git.psylab.info/r-library/downloads/Kaas2008.pdf.
# Muenchen R. A. R for SAS and SPSS Users. — 2nd ed. — Springer, 2011. — 715 pp. — (Statistics and Computing). — ISBN 978-1-4614-0684-6. — DOI: 10.1007/978-1-4614-0685-3. — URL: http://git.psylab.info/r-library/downloads/Muenchen2011.pdf; http://git.psylab.info/r-library/downloads/Muenchen2011.zip.
# Muenchen R. A., Hilbe J. M. R for Stata Users. — Springer, 2010. — 542 pp. — (Statistics and Computing). — ISBN 978-1-4419-1317-3. — DOI: 10.1007/978-1-4419-1318-0. — URL: http://git.psylab.info/r-library/downloads/Muenchen2010.pdf; http://git.psylab.info/r-library/downloads/Muenchen2010.zip.
# Murrell P. R Graphics. — Chapman, Hall/CRC, 2005. — 322 pp. — (Chapman & Hall/CRC Computer Science & Data Analysis). — ISBN 978-1-58488-486-6. — URL: http://git.psylab.info/r-library/downloads/Murrell2005.pdf; http://git.psylab.info/r-library/downloads/Murrell2005.zip.
# Murtagh F. Correspondence Analysis and Data Coding with Java and R. — Chapman, Hall/CRC, 2005. — 256 pp. — (Chapman & Hall/CRC Computer Science & Data Analysis). — ISBN 978-1-58488-528-3. — URL: http://git.psylab.info/r-library/downloads/Murtagh2005.pdf; http://git.psylab.info/r-library/downloads/Murtagh2005.zip.
# Myers W. L., Patil G. P. Multivariate Methods of Representing Relations in R for Prioritization Purposes. — Springer, 2012. — 304 pp. — (Environmental and Ecological Statistics ; 6). — ISBN 978-1-4614-3121-3. — DOI: 10.1007/978-1-4614-3122-0. — URL: http://git.psylab.info/r-library/downloads/MyersPatil2012.pdf.
# Nagarajan R., Scutari M., Lebre S. Bayesian Networks in R: with Applications in Systems Biology. — Springer, 2013. — 168 pp. — (Use R! ; 48). — ISBN 978-1-4614-6445-7. — DOI: 10.1007/978-1-4614-6446-4. — URL: http://git.psylab.info/r-library/downloads/Nagarajan2013.pdf.
# Nason G. P. Wavelet Methods in Statistics with R. — Springer, 2008. — 268 pp. — (Use R!) — ISBN 978-0-387-75960-9. — DOI: 10.1007/978-0-387-75961-6. — URL: http://git.psylab.info/r-library/downloads/Nason2008.pdf; http://git.psylab.info/r-library/downloads/Nason2008.zip.
# Navarro D. J. Learning Statistics with R. — lulu.com, 2014. — 562 pp. — URL: http://git.psylab.info/r-library/downloads/Navarro2014.pdf; http://git.psylab.info/r-library/downloads/Navarro2014.zip.
# Nolan D., Temple Lang D. XML and Web Technologies for Data Sciences with R. — Springer, 2014. — 677 pp. — (Use R! ; 46). — ISBN 978-1-4614-7899-7. — DOI: 10.1007/978-1-4614-7900-0. — URL: http://git.psylab.info/r-library/downloads/Nolan2014.pdf.
# Nonparametric Hypothesis Testing: Rank and Permutation Methods with Applications in R / S. Bonnini [et al.]. — Wiley, 2014. — 240 pp. — ISBN 978-1-119-95237-4. — URL: http://git.psylab.info/r-library/downloads/Bonnini2014.pdf.
# O’Gorman T. W. Adaptive Tests of Signiﬁcance Using Permutations of Residuals with R and SAS. — Wiley, 2012. — 364 pp. — ISBN 978-0-470-92225-5. — URL: http://git.psylab.info/r-library/downloads/OGorman2012.pdf.
# Ohri A. R for Business Analytics. — Springer, 2013. — 319 pp. — ISBN 978-1-4614-4342-1. — DOI: 10.1007/978-1-4614-4343-8. — URL: http://git.psylab.info/r-library/downloads/Ohri2013.pdf.
# Oja H. Multivariate Nonparametric Methods with R: An approach based on spatial signs and ranks. — Springer, 2010. — 244 pp. — (Lecture Notes in Statistics ; 199). — ISBN 978-1-4419-0467-6. — DOI: 10.1007/978-1-4419-0468-3. — URL: http://git.psylab.info/r-library/downloads/Oja2010.pdf.
# Optimal Experimental Design with R / D. Rasch [et al.]. — Chapman, Hall/CRC, 2011. — 345 pp. — ISBN 978-1-4398-1698-1. — URL: http://git.psylab.info/r-library/downloads/Rasch2011-1.pdf.
# Pace L. Beginning R: An Introduction to Statistical Programming. — Apress, 2012. — 336 pp. — ISBN 978-1-4302-4554-4. — URL: http://git.psylab.info/r-library/downloads/Pace2012.pdf; http://git.psylab.info/r-library/downloads/Pace2012.zip.
# Paradis E. Analysis of Phylogenetics and Evolution with R. — 2nd ed. — Springer, 2012. — 404 pp. — (Use R!) — ISBN 978-1-4614-1742-2. — DOI: 10.1007/978-1-4614-1743-9. — URL: http://git.psylab.info/r-library/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. — 154 pp. — (Use R!) — ISBN 978-0-387-78166-2. — DOI: 10.1007/978-0-387-78167-9. — URL: 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. — URL: http://git.psylab.info/r-library/downloads/Petris2009.pdf; 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. — URL: http://git.psylab.info/r-library/downloads/Pfaff2008.pdf; http://git.psylab.info/r-library/downloads/Pfaff2008.zip.
# Pfaﬀ B. Financial Risk Modelling and Portfolio Optimization with R. — Wiley, 2013. — 374 pp. — (Statistics in Practice). — ISBN 978-0-470-97870-2. — URL: http://git.psylab.info/r-library/downloads/Pfaff2013.pdf; http://git.psylab.info/r-library/downloads/Pfaff2013.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. — URL: 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. — URL: http://git.psylab.info/r-library/downloads/Plant2012.pdf.
# Prajapati V. Big Data Analytics with R and Hadoop. — Packt Publishing, 2013. — 238 pp. — ISBN 978-1-78216-328-2. — URL: http://git.psylab.info/r-library/downloads/Prajapati2013.pdf; http://git.psylab.info/r-library/downloads/Prajapati2013.zip.
# Pruscha H. Statistical Analysis of Climate Series: Analyzing, Plotting, Modeling, and Predicting with R. — Springer, 2013. — 200 pp. — ISBN 978-3-642-32083-5. — DOI: 10.1007/978-3-642-32084-2. — URL: http://git.psylab.info/r-library/downloads/Pruscha2013.pdf.
# Quick J. M. Statistical Analysis with R Beginner’s Guide. — Packt Publishing, 2010. — 300 pp. — ISBN 978-1-849512-08-4. — URL: http://git.psylab.info/r-library/downloads/Quick2010.pdf; http://git.psylab.info/r-library/downloads/Quick2010.zip.
# Ramsay J. ., Hooker G., Graves S. Functional Data Analysis with R and MATLAB. — Springer, 2009. — 213 pp. — (Use R!) — ISBN 978-0-387-98184-0. — DOI: 10.1007/978-0-387-98185-7. — URL: http://git.psylab.info/r-library/downloads/Ramsay2009.pdf.
# Rayner J. C. W., Thas O., Best D. J. Smooth Tests of Goodness of Fit: Using R. — 2nd ed. — Wiley, 2009. — 290 pp. — (The Wiley Series in Probability and Statistics). — ISBN 978-0-470-82442-9. — URL: http://git.psylab.info/r-library/downloads/Rayner2009.pdf; http://git.psylab.info/r-library/downloads/Rayner2009.zip.
# Ritz C., Streibig J. C., [et al.] Nonlinear Regression with R. — Springer, 2008. — 148 pp. — (Use R!) — ISBN 978-0-387-09615-5. — DOI: 10.1007/978-0-387-09616-2. — URL: http://git.psylab.info/r-library/downloads/RitzStreibig2008.pdf.
# Rizopoulos D. Joint Models for Longitudinal and Time-to-Event Data: With Applications in R. — Chapman, Hall/CRC, 2012. — 275 pp. — (Chapman & Hall/CRC Biostatistics Series ; 6). — ISBN 978-1-4398-7287-1. — URL: http://git.psylab.info/r-library/downloads/Rizopoulos2012.pdf.
# Robert C., Casella G. Introducing Monte Carlo Methods with R. — Springer, 2010. — 284 pp. — (Use R!) — ISBN 978-1-4419-1575-7. — DOI: 10.1007/978-1-4419-1576-4. — URL: http://git.psylab.info/r-library/downloads/RobertCasella2010.pdf; http://git.psylab.info/r-library/downloads/RobertCasella2010.zip.
# Robinson A. P., Hamann J. D. Forest Analytics with R: An Introduction. — Springer, 2011. — 354 pp. — (Use R!) — ISBN 978-1-4419-7761-8. — DOI: 10.1007/978-1-4419-7762-5. — URL: http://git.psylab.info/r-library/downloads/RobinsonHamann2011.pdf.
# Robinson R., White H. Elementary Statistics. — 2014. — 404 pp. — URL: http://git.psylab.info/r-library/downloads/RobinsonWhite2014.pdf.
# Rosenbaum P. R. Design of Observational Studies. — Springer, 2010. — 385 pp. — (Springer Series in Statistics). — ISBN 978-1-4419-1212-1. — DOI: 10.1007/978-1-4419-1213-8. — URL: http://git.psylab.info/r-library/downloads/Rosenbaum2010.pdf.
# Rossiter D. G. An example of statistical data analysis using the R environment for statistical computing. — 2014. — 144 pp. — URL: http://git.psylab.info/r-library/downloads/Rossiter2014.pdf.
# Ruppert D. Statistics and Data Analysis for Financial Engineering. — Springer, 2011. — 638 pp. — (Springer Texts in Statistics). — ISBN 978-1-4419-7786-1. — DOI: 10.1007/978-1-4419-7787-8. — URL: http://git.psylab.info/r-library/downloads/Ruppert2011.pdf; http://git.psylab.info/r-library/downloads/Ruppert2011.zip.
# Sanchez G. Handling and Processing Strings in R. — 2013. — 113 pp. — URL: http://git.psylab.info/r-library/downloads/Sanchez2013.pdf.
# Santos-Fernández E. Multivariate Statistical Quality Control Using R. — Springer, 2012. — 127 pp. — (SpringerBriefs in Statistics ; 14). — ISBN 978-1-4614-5452-6. — DOI: 10.1007/978-1-4614-5453-3. — URL: http://git.psylab.info/r-library/downloads/Santos-Fernandez2012.pdf.
# Sarkar D. Lattice: Multivariate Data Visualization with R. — Springer, 2008. — 268 pp. — (Use R!) — ISBN 978-0-387-75968-5. — DOI: 10.1007/978-0-387-75969-2. — URL: http://git.psylab.info/r-library/downloads/Sarkar2008.pdf; http://git.psylab.info/r-library/downloads/Sarkar2008.zip.
# Schafer J. L. Analysis of Incomplete Multivariate Data. — Chapman, Hall/CRC, 1997. — 444 pp. — (Chapman & Hall/CRC Monographs on Statistics & Applied Probability). — ISBN 978-0-412-04061-0. — URL: http://git.psylab.info/r-library/downloads/Schafer1997.pdf.
# Schumacke R., Tomek S. Understanding Statistics Using R. — Springer, 2013. — 296 pp. — ISBN 978-1-4614-6226-2. — DOI: 10.1007/978-1-4614-6227-9. — URL: http://git.psylab.info/r-library/downloads/SchumackeTomek2013.pdf; http://git.psylab.info/r-library/downloads/SchumackeTomek2013.zip.
# Schumacker R. A., Akers A. Understanding Statistical Concepts Using S-plus. — Lawrence Erlbaum Associates, 2001. — 384 pp. — ISBN 978-0-8058-3623-3. — URL: http://git.psylab.info/r-library/downloads/SchumackerAkers2001.pdf.
# Selvin S. Modern Applied Biostatistical Methods: Using S-Plus. — Oxford University Press, 1998. — 476 pp. — (Monographs in Epidemiology and Biostatistics ; 28). — ISBN 978-0-19-512025-7. — URL: http://git.psylab.info/r-library/downloads/Selvin1998.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. — URL: http://git.psylab.info/r-library/downloads/Shahbaba2012.pdf; 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. — URL: http://git.psylab.info/r-library/downloads/Sheather2009.pdf; 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. — URL: http://git.psylab.info/r-library/downloads/ShumwayStoffer2011.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. — URL: http://git.psylab.info/r-library/downloads/SiegmundYakir2007.pdf; 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. — URL: http://git.psylab.info/r-library/downloads/Sinha2014.pdf.
# Soetaert K., Cash J., Mazzia F. Solving Diﬀerential Equations in R. — Springer, 2012. — 248 pp. — (Use R!) — ISBN 978-3-642-28069-6. — DOI: 10.1007/978-3-642-28070-2. — URL: http://git.psylab.info/r-library/downloads/Soetaert2012.pdf; http://git.psylab.info/r-library/downloads/Soetaert2012.zip.
# Soetaert K., Herman P. M. J. A Practical Guide to Ecological Modelling: Using R as a Simulation Platform. — Springer, 2009. — 372 pp. — ISBN 978-1-4020-8623-6. — DOI: 10.1007/978-1-4020-8624-3. — URL: http://git.psylab.info/r-library/downloads/Soetaert2009.pdf; http://git.psylab.info/r-library/downloads/Soetaert2009.zip.
# Spector P. Data Manipulation with R. — Springer, 2008. — 152 pp. — (Use R!) — ISBN 978-0-387-74730-9. — DOI: 10.1007/978-0-387-74731-6. — URL: http://git.psylab.info/r-library/downloads/Spector2008.pdf.
# Stanton J. M. Introduction to Data Science. — 2013. — 182 pp. — URL: http://git.psylab.info/r-library/downloads/Stanton2013.pdf.
# Statistical Data Analysis Explained: Applied Environmental Statistics with R / C. Reimann [et al.]. — Wiley, 2008. — 359 pp. — ISBN 978-0-470-98581-6. — URL: http://git.psylab.info/r-library/downloads/Reimann2008.pdf; http://git.psylab.info/r-library/downloads/Reimann2008.zip.
# Statistical Methods for Hospital Monitoring with R / A. Morton [et al.]. — Wiley, 2013. — 426 pp. — (Statistics in Practice). — ISBN 978-1-118-59630-2. — URL: http://git.psylab.info/r-library/downloads/Morton2013.pdf; http://git.psylab.info/r-library/downloads/Morton2013.zip.
# Statistical Tools for Nonlinear Regression: A Practical Guide With S-PLUS and R Examples / S. Huet [et al.]. — 2nd ed. — Springer, 2003. — 249 pp. — (Springer Series in Statistics). — ISBN 978-0-387-40081-5. — DOI: 10.1007/b97288. — URL: http://git.psylab.info/r-library/downloads/Huet2003.pdf.
# Statistics in Psychology Using R and SPSS / D. Rasch, K. Kubinger, T. Yanagida, [et al.]. — Wiley, 2011. — 568 pp. — ISBN 978-0-470-97124-6. — URL: http://git.psylab.info/r-library/downloads/Rasch2011-2.pdf; http://git.psylab.info/r-library/downloads/Rasch2011-2.zip.
# Steyerberg E. W. Clinical Prediction Models: A Practical Approach to Development, Validation, and Updating. — Springer, 2009. — 500 pp. — (Statistics for Biology and Health). — ISBN 978-0-387-77243-1. — DOI: 10.1007/978-0-387-77244-8. — URL: http://git.psylab.info/r-library/downloads/Steyerberg2009.pdf; http://git.psylab.info/r-library/downloads/Steyerberg2009.zip.
# Stowell S. Using R for Statistics. — Apress, 2014. — 232 pp. — ISBN 978-1-484201-40-4. — URL: http://git.psylab.info/r-library/downloads/Stowell2014.pdf; http://git.psylab.info/r-library/downloads/Stowell2014.zip.
# Suess E. A., Trumbo B. E. Introduction to Probability Simulation and Gibbs Sampling with R. — Springer, 2010. — 307 pp. — (Use R!) — ISBN 978-0-387-40273-4. — DOI: 10.1007/978-0-387-68765-0. — URL: http://git.psylab.info/r-library/downloads/SuessTrumbo2010.pdf; http://git.psylab.info/r-library/downloads/SuessTrumbo2010.zip.
# Swenson N. G. Functional and Phylogenetic Ecology in R. — Springer, 2014. — 212 pp. — (Use R!) — ISBN 978-1-4614-9541-3. — DOI: 10.1007/978-1-4614-9542-0. — URL: http://git.psylab.info/r-library/downloads/Swenson2014.pdf.
# Takezawa K. Introduction to Nonparametric Regression. — Wiley, 2005. — 568 pp. — (Wiley Series in Probability and Statistics ; 606). — ISBN 978-0-471-74583-9. — URL: http://git.psylab.info/r-library/downloads/Takezawa2005.djvu; http://git.psylab.info/r-library/downloads/Takezawa2005.zip.
# Takezawa K. Guidebook to R Graphics Using Microsoft® Windows. — Wiley, 2013. — 272 pp. — ISBN 978-1-118-02639-7. — URL: http://git.psylab.info/r-library/downloads/Takezawa2012.pdf; http://git.psylab.info/r-library/downloads/Takezawa2012.zip.
# Takezawa K. Learning Regression Analysis by Simulation. — Springer, 2014. — 310 pp. — ISBN 978-4-431-54320-6. — DOI: 10.1007/978-4-431-54321-3. — URL: http://git.psylab.info/r-library/downloads/Takezawa2014.pdf; http://git.psylab.info/r-library/downloads/Takezawa2014.zip.
# Tattar P. N. R Statistical Application Development by Example Beginner’s Guide. — Packt Publishing, 2013. — 344 pp. — ISBN 978-1-84951-944-1. — URL: http://git.psylab.info/r-library/downloads/Tattar2013.pdf; http://git.psylab.info/r-library/downloads/Tattar2013.zip.
# Teetor P. 25 Recipes for Getting Started with R: Excerpts from the R Cookbook. — O’Reilly Media, 2011. — 62 pp. — ISBN 978-1-4493-0323-5. — URL: http://git.psylab.info/r-library/downloads/Teetor2011-2.pdf.
# Teetor P. R Cookbook. — O’Reilly Media, 2011. — 438 pp. — (O’Reilly Cookbooks). — ISBN 978-0-596-80915-7. — URL: http://git.psylab.info/r-library/downloads/Teetor2011-1.pdf.
# The Statistical Sleuth in R: A Course in Methods of Data Analysis / L. Loi [et al.]. — 2013. — 153 pp. — URL: http://git.psylab.info/r-library/downloads/Loi2013.pdf.
# Thiem A., Duşa A. Qualitative Comparative Analysis with R: A User S Guide. — Springer, 2013. — 99 pp. — (SpringerBriefs in Political Science ; 5). — ISBN 978-1-4614-4583-8. — DOI: 10.1007/978-1-4614-4584-5. — URL: http://git.psylab.info/r-library/downloads/ThiemDusa2013.pdf.
# Tollefson M. R Quick Syntax Reference. — Apress, 2014. — 209 pp. — ISBN 978-1-4302-6640-2. — URL: http://git.psylab.info/r-library/downloads/Tollefson2014.pdf; http://git.psylab.info/r-library/downloads/Tollefson2014.zip.
# Torgo L. Data Mining with R: Learning with Case Studies. — Chapman, Hall/CRC, 2010. — 305 pp. — (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series). — ISBN 978-1-4398-1018-7. — URL: http://git.psylab.info/r-library/downloads/Torgo2010.pdf; http://git.psylab.info/r-library/downloads/Torgo2010.zip.
# Trosset M. W. An Introduction to Statistical Inference and Its Applications with R. — Chapman, Hall/CRC, 2009. — 496 pp. — (Chapman & Hall/CRC Texts in Statistical Science ; 81). — ISBN 978-1-584-88947-2. — URL: http://git.psylab.info/r-library/downloads/Trosset2009.pdf; http://git.psylab.info/r-library/downloads/Trosset2009.zip.
# 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. — URL: http://git.psylab.info/r-library/downloads/Tsay2012.pdf; 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. — URL: 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. — URL: http://git.psylab.info/r-library/downloads/Tuffery2011.pdf; http://git.psylab.info/r-library/downloads/Tuffery2011.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. — URL: 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. — URL: http://git.psylab.info/r-library/downloads/VarmuzaFilzmoser2009.pdf.
# Vasishth S., Broe M. The Foundations of Statistics: A Simulation-based Approach. — Springer, 2010. — 195 pp. — ISBN 978-3-642-16312-8. — DOI: 10.1007/978-3-642-16313-5. — URL: http://git.psylab.info/r-library/downloads/VasishthBroe2011.pdf.
# Venables W. N., Ripley B. D. S programming. — Springer, 2000. — 265 pp. — (Statistics and Computing). — ISBN 978-1-4419-3190-0. — DOI: 10.1007/978-0-387-21856-4. — URL: http://git.psylab.info/r-library/downloads/Venables2000.pdf; http://git.psylab.info/r-library/downloads/Venables2000.zip.
# Venables W. N., Ripley B. D. Modern Applied Statistics with S. — 4th ed. — Springer, 2002. — 505 pp. — (Statistics and Computing). — ISBN 978-1-4419-3008-8. — DOI: 10.1007/978-0-387-21706-2. — URL: http://git.psylab.info/r-library/downloads/Venables2002.pdf; http://git.psylab.info/r-library/downloads/Venables2002.zip.
# Verzani J. Using R for Introductory Statistics. — Chapman, Hall/CRC, 2004. — 432 pp. — (Chapman & Hall/CRC The R Series). — ISBN 978-1-584-88450-7. — URL: http://git.psylab.info/r-library/downloads/Verzani2004.pdf; http://git.psylab.info/r-library/downloads/Verzani2004.zip.
# Verzani J. Getting Started with RStudio. — O’Reilly Media, 2011. — 98 pp. — ISBN 978-1-449-30903-9. — URL: http://git.psylab.info/r-library/downloads/Verzani2011.pdf; http://git.psylab.info/r-library/downloads/Verzani2011.zip.
# Voss J. An Introduction to Statistical Computing: A Simulation-based Approach. — Wiley, 2013. — 396 pp. — (Wiley Series in Computational Statistics ; 1). — ISBN 978-1-118-35772-9. — URL: http://git.psylab.info/r-library/downloads/Voss2013.pdf; http://git.psylab.info/r-library/downloads/Voss2013.zip.
# Wehrens R. Chemometrics with R: Multivariate Data Analysis in the Natural Sciences and Life Sciences. — Springer, 2011. — 285 pp. — (Use R!) — ISBN 978-3-642-17840-5. — DOI: 10.1007/978-3-642-17841-2. — URL: http://git.psylab.info/r-library/downloads/Wehrens2011.pdf.
# Wickham H. Practical tools for exploring data and models. — 2008. — 122 pp. — URL: http://git.psylab.info/r-library/downloads/Wickham2008.pdf.
# Wickham H. ggplot2: Elegant Graphics for Data Analysis. — Springer, 2009. — 213 pp. — (Use R!) — ISBN 978-0-387-98140-6. — DOI: 10.1007/978-0-387-98141-3. — URL: http://git.psylab.info/r-library/downloads/Wickham2009.pdf; http://git.psylab.info/r-library/downloads/Wickham2009.zip.
# Wienke A. Frailty Models in Survival Analysis. — Chapman, Hall/CRC, 2010. — 312 pp. — (Chapman & Hall/CRC Biostatistics Series ; 37). — ISBN 978-1-4200-7388-1. — URL: http://git.psylab.info/r-library/downloads/Wienke2010.pdf.
# Wilcox R. R. Introduction to Robust Estimation and Hypothesis Testing. — 3rd ed. — Academic Press, 2012. — 690 pp. — (Statistical Modeling and Decision Science). — ISBN 978-0-12-386983-8. — URL: http://git.psylab.info/r-library/downloads/Wilcox2012.pdf.
# Wildi O. Data Analysis in Vegetation Ecology. — 2nd ed. — Wiley, 2013. — 315 pp. — ISBN 978-1-118-38404-6. — URL: http://git.psylab.info/r-library/downloads/Wildi2013.pdf; http://git.psylab.info/r-library/downloads/Wildi2013.zip.
# Willekens F. Multistate Analysis of Life Histories with R. — Springer, 2014. — 308 pp. — (Use R!) — ISBN 978-3-319-08382-7. — DOI: 10.1007/978-3-319-08383-4. — URL: http://git.psylab.info/r-library/downloads/Willekens2014.pdf.
# Williams G. Data Mining with Rattle and R: The Art of Excavating Data for Knowledge Discovery. — Springer, 2011. — 395 pp. — (Use R!) — ISBN 978-1-4419-9889-7. — DOI: 10.1007/978-1-4419-9890-3. — URL: http://git.psylab.info/r-library/downloads/Williams2011.pdf.
# Wood S. N. Generalized Additive Models: An Introduction with R. — Chapman, Hall/CRC, 2006. — 410 pp. — (Chapman & Hall/CRC Texts in Statistical Science ; 66). — ISBN 978-1-584-88474-3. — URL: http://git.psylab.info/r-library/downloads/Wood2006.pdf.
# Wright D. B., London K. Modern Regression Techniques Using R: A Practical Guide. — SAGE Publications Ltd, 2009. — 216 pp. — ISBN 978-1-84787-902-8. — URL: http://git.psylab.info/r-library/downloads/Wright2009.pdf.
# Wünschiers R. Computational Biology: A Practical Introduction to BioData Processing and Analysis with Linux, MySQL, and R. — 2nd ed. — Springer, 2013. — 449 pp. — ISBN 978-3-642-34748-1. — DOI: 10.1007/978-3-642-34749-8. — URL: http://git.psylab.info/r-library/downloads/Wunschiers2013.pdf.
# Yakir B. Introduction to Statistical Thinking. — The Hebrew University, 2011. — 314 pp. — URL: http://git.psylab.info/r-library/downloads/Yakir2011.pdf; http://git.psylab.info/r-library/downloads/Yakir2011.zip.
# Yan X., Su X. G. Linear Regression Analysis: Theory and Computing. — World Scientiﬁc Publishing Company, 2009. — 348 pp. — ISBN 978-981-283-410-2. — URL: http://git.psylab.info/r-library/downloads/YanSu2009.pdf.
# Zhao Y. R and Data Mining: Examples and Case Studies. — Academic Press, 2012. — 256 pp. — ISBN 978-0-123-96963-7. — URL: http://git.psylab.info/r-library/downloads/Zhao2012.pdf; 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. — URL: http://git.psylab.info/r-library/downloads/ZhaoCen2013.pdf; 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. — URL: http://git.psylab.info/r-library/downloads/ZiefflerHarringLong2011.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. — URL: 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. — URL: http://git.psylab.info/r-library/downloads/Zucchini2009.pdf; http://git.psylab.info/r-library/downloads/Zucchini2009.zip.
# Zumel N., Mount J. Practical Data Science with R. — Manning Publications, 2014. — 416 pp. — ISBN 978-1-617291-56-2. — URL: http://git.psylab.info/r-library/downloads/ZumelMount2014.pdf; http://git.psylab.info/r-library/downloads/ZumelMount2014.zip.
# Zuur A. F., Ieno E. N., Meesters E. A Beginner’s Guide to R. — Springer, 2009. — 220 pp. — (Use R!) — ISBN 978-0-387-93836-3. — DOI: 10.1007/978-0-387-93837-0. — URL: http://git.psylab.info/r-library/downloads/ZuurIenoMeesters2009.pdf.
# Zuur A. F., Ieno E. N., Smith G. M. Analysing Ecological Data. — Springer, 2007. — 672 pp. — (Statistics for Biology and Health). — ISBN 978-0-387-45967-7. — DOI: 10.1007/978-0-387-45972-1. — URL: http://git.psylab.info/r-library/downloads/Zuur2007.pdf.


=== Презентации ===

# Abraham Y. Elegant Graphics for Data Analysis with ggplot2. — 2010. — URL: http://git.psylab.info/r-library/downloads/Abraham2010.pdf.
# Allen J. ggplot2. — 2013. — URL: http://git.psylab.info/r-library/downloads/Allen2013-1.pdf.
# Allen J. R Packages. — 2013. — URL: http://git.psylab.info/r-library/downloads/Allen2013-2.pdf.
# Arbel J. RStudio is good for you! — 2012. — URL: http://git.psylab.info/r-library/downloads/Arbel2012.pdf.
# Arbel J. Mix source code and documentation together: Write R code in LaTeX using knitr, xtable and RStudio. — 2013. — URL: http://git.psylab.info/r-library/downloads/Arbel2013.pdf.
# Baggett A. R. Integrating R, knitr, and LaTeX via RStudio. — 2013. — URL: http://git.psylab.info/r-library/downloads/Baggett2013.pdf.
# Boer J. de Web Analytics with R. — 2013. — URL: http://git.psylab.info/r-library/downloads/deBoer2013.pdf.
# Brown A. B. Shiny: Live / Shared / Explored. — 2013. — URL: http://git.psylab.info/r-library/downloads/Brown2013.pdf.
# Chiu D. R Language Tutorial. — 2013. — URL: http://git.psylab.info/r-library/downloads/Chiu2013.pdf.
# Chow J.-F. Introducing CrimeMap: Using R, Shiny and ShinyApps for Quick Web App Development. — 2014. — URL: http://git.psylab.info/r-library/downloads/Chow2014.pdf.
# Diez D. Building R Packages: An Introduction. — 2012. — URL: http://git.psylab.info/r-library/downloads/Diez2012.pdf.
# Dowle M. data.table. — 2014. — URL: http://git.psylab.info/r-library/downloads/Dowle2014.pdf.
# Etten J. van, Labarga A. Getting started with R. — 2011. — URL: http://git.psylab.info/r-library/downloads/Labarga2011.pdf.
# François R. R and C++. — 2013. — URL: http://git.psylab.info/r-library/downloads/Francois2013.pdf.
# Gilbert K. How to Make Maps in R. — 2012. — URL: http://git.psylab.info/r-library/downloads/Gilbert2012.pdf.
# Hanley K. Dynamic Report Generation in R: LATEX vs. Markdown. — 2014. — URL: http://git.psylab.info/r-library/downloads/Hanley2014.pdf.
# Ibaibarriaga L. Introduction to R. — 2011. — URL: http://git.psylab.info/r-library/downloads/Ibaibarriaga2011.pdf.
# Ihaka R. Object Oriented Programming in R. — 2012. — URL: http://git.psylab.info/r-library/downloads/Ihaka2012.pdf.
# Kabacoﬀ R. R for Data Visualizaiton and Graphics. — 2014. — URL: http://git.psylab.info/r-library/downloads/Kabacoff2014.pdf.
# Kutergin A. Taking R on limit. — 2012. — URL: http://git.psylab.info/r-library/downloads/Kutergin2012.pdf.
# Lumley T. R Fundamentals and Programming Techniques. — 2006. — URL: http://git.psylab.info/r-library/downloads/Lumley2006.pdf.
# Mallik A. Parallel Computing with R. — 2013. — URL: http://git.psylab.info/r-library/downloads/Mallik2013.pdf.
# Mevik B.-H. Parallel programming in R. — 2014. — URL: http://git.psylab.info/r-library/downloads/Mevik2014-1.pdf.
# Mevik B.-H. Programming with R. — 2014. — URL: http://git.psylab.info/r-library/downloads/Mevik2014-2.pdf.
# Moores M., Hargrave C. DParallel Bayesian computation in R >2.14: using the packages foreach and parallel. — 2012. — URL: http://git.psylab.info/r-library/downloads/MooresHargrave2012.pdf.
# Ranganath V.-P. The R Language: A Hands-on Introduction. — 2011. — URL: http://git.psylab.info/r-library/downloads/Ranganath2013.pdf.
# Reddy V. Introduction to R. — 2013. — URL: http://git.psylab.info/r-library/downloads/Reddy2013.pdf.
# Reich J. Data munging with SQL and R. — 2010. — URL: http://git.psylab.info/r-library/downloads/Reich2010.pdf.
# Ripley R. M. Making an R package. — 2013. — URL: http://git.psylab.info/r-library/downloads/Ripley2013.pdf.
# Röder M. Introduction to ggplot2: Elegant Graphics for Data Analysis. — 2011. — URL: http://git.psylab.info/r-library/downloads/Rober2011.pdf.
# Rosario R. R. Taking R to the Limit, Part I: Parallelization. — 2010. — URL: http://git.psylab.info/r-library/downloads/Rosario2010-1.pdf.
# Rosario R. R. Taking R to the Limit, Part II: Working with Large Datasets. — 2010. — URL: http://git.psylab.info/r-library/downloads/Rosario2010-2.pdf.
# Schmidberger M. Big Data Analyses with R. — 2013. — URL: http://git.psylab.info/r-library/downloads/Schmidberger2013.pdf.
# Sedar J. Customer Clustering for Retailer Marketing: An exploratory data science project with reference to useful R packages. — 2014. — URL: http://git.psylab.info/r-library/downloads/Sedar2014.pdf.
# Seidman J., Venkataramaiah R. Distributed Data Analysis with Hadoop and R. — 2011. — URL: http://git.psylab.info/r-library/downloads/Seidman2011.pdf.
# Al-Shamaa K. Introduction to R. — 2012. — URL: http://git.psylab.info/r-library/downloads/Al-Shamaa2012.pdf.
# Talley D. R Programming for Psychometrics. — 2013. — URL: http://git.psylab.info/r-library/downloads/Talley2013.pdf.
# Urbanek S. Tackling Big Data with R: New features and old concepts for handling large and streaming data in practice. — 2013. — URL: http://git.psylab.info/r-library/downloads/Urbanek2013.pdf.
# Venkat R. An Introduction to R for Traders. — 2012. — URL: http://git.psylab.info/r-library/downloads/Venkat2012-1.pdf.
# Venkat R. R and Hadoop. — 2012. — URL: http://git.psylab.info/r-library/downloads/Venkat2012-2.pdf.
# Wickham H. ggplot2. — 2007. — URL: http://git.psylab.info/r-library/downloads/Wickham2007.pdf.
# Wickham H. ggplot2 basics. — 2012. — URL: http://git.psylab.info/r-library/downloads/Wickham2012.pdf.
# Wickham H. Bigger data analysis. — 2013. — URL: http://git.psylab.info/r-library/downloads/Wickham2013.pdf.
# Wickham H. Packages are easy! — 2014. — URL: http://git.psylab.info/r-library/downloads/Wickham2014.pdf.
# Yoshida K. Descriptive Statistics with R. — 2012. — URL: http://git.psylab.info/r-library/downloads/Yoshida2012-3.pdf.
# Yoshida K. Groupwise comparison of continuous variables in R. — 2012. — URL: http://git.psylab.info/r-library/downloads/Yoshida2012-5.pdf.
# Yoshida K. Introduction to R. — 2012. — URL: http://git.psylab.info/r-library/downloads/Yoshida2012-1.pdf.
# Yoshida K. Readinginto data R. — 2012. — URL: http://git.psylab.info/r-library/downloads/Yoshida2012-2.pdf.
# Yoshida K. Tabulating data with R. — 2012. — URL: http://git.psylab.info/r-library/downloads/Yoshida2012-4.pdf.
# Yoshida K. Installing and conﬁguring R & RStudio. — 2013. — URL: http://git.psylab.info/r-library/downloads/Yoshida2013-1.pdf.
# Yoshida K. Manipulationg data in R. — 2013. — URL: http://git.psylab.info/r-library/downloads/Yoshida2013-3.pdf.
# Yoshida K. Preparing data for modeling in R. — 2013. — URL: http://git.psylab.info/r-library/downloads/Yoshida2013-4.pdf.
# Yoshida K. Reading and Manipulationg data in R. — 2013. — URL: http://git.psylab.info/r-library/downloads/Yoshida2013-2.pdf.
# Zahn I. Introduction to R Programming. — 2013. — URL: http://git.psylab.info/r-library/downloads/Zahn2013-3.pdf.
# Zahn I. Introduction to the R Statistical Computing Environment. — 2013. — URL: http://git.psylab.info/r-library/downloads/Zahn2013-1.pdf.
# Zahn I. Regression Models in R. — 2013. — URL: http://git.psylab.info/r-library/downloads/Zahn2013-2.pdf.
# Zahn I. Introduciton to R Graphics with ggplot2. — 2014. — URL: http://git.psylab.info/r-library/downloads/Zahn2014.pdf.
# Zhang V. S. Building Interactive Web APP with Shiny. — 2014. — URL: http://git.psylab.info/r-library/downloads/Zhang2014.pdf.


=== Онлайн ресурсы ===

# CRAN: The Comprehensive R Archive Network / R Foundation for Statistical Computing. — 2014. — URL: http://cran.r-project.org/.
# CRAN Task Views / R Foundation for Statistical Computing. — 2014. — URL: http://cran.r-project.org/web/views/.
# Galili T. R-statistics blog. — 2014. — URL: http://www.r-statistics.com/.
# ggplot2 documentation. — 2014. — URL: http://docs.ggplot2.org/.
# inside-R: A Community Site for R. — 2014. — URL: http://www.inside-r.org/.
# Kabacoﬀ R. Quick-R: accessing the power of R. — 2014. — URL: http://www.statmethods.net/.
# Ogasawara O. R Graphical Manual. — 2014. — URL: http://rgm3.lab.nig.ac.jp/RGM/.
# R Project: The R Project for Statistical Computing / R Foundation for Statistical Computing. — 2014. — URL: http://cran.r-project.org/.
# R-bloggers: R news and tutorials contributed by (552) R bloggers. — 2014. — URL: http://www.r-bloggers.com/.
# Revolutions / Revolution Analytics. — 2014. — URL: http://blog.revolutionanalytics.com/.
# RStudio Blog / RStudio. — 2014. — URL: http://blog.rstudio.org/.
# Smart F. Econometrics by Simulation. — 2014. — URL: http://www.econometricsbysimulation.com/.
# The R Manuals. — 2014. — URL: http://cran.r-project.org/manuals.html.
# Try R: Code School / Code School LLC. — 2014. — URL: http://tryr.codeschool.com/.
# Yau C. R Tutorial: An R Introduction to Statistics. — 2014. — URL: http://www.r-tutor.com/.


== На русском языке ==

=== Книги ===

# Венэбльз У. Н., Смит Д. М. [и др.] Введение в R: Заметки по R: среда программирования для анализа данных и графики : пер. с англ. — Вер. 3.1.0. — Москва, 2014. — 109 с. — URL: http://git.psylab.info/r-library/downloads/Venables2014.pdf.
# Волкова П. А., Шипунов А. Б. Статистическая обработка данных в учебно-исследовательских работах / под ред. Ю. А. Багринцева, Б. М. Каплан, Е. Н. Сиднева. — Москва : Экспресс, 2008. — 60 с. — URL: http://git.psylab.info/r-library/downloads/Volkova2008.pdf.
# Геостатистический анализ данных в экологии и природопользовании (с применением пакета R): Учебное пособие / А. А. Савельев [и др.]. — Казань : Казанский университет, 2012. — 120 с. — URL: http://git.psylab.info/r-library/downloads/Saveliev2012.pdf.
# Дружков П. Н., Золотых Н. Ю., Половинкин А. Н. Введение в R. — 2013. — 18 с. — URL: http://git.psylab.info/r-library/downloads/Drujkov2013.pdf.
# Дьяконов А. Г. Справочник по базовым командам систеиы R. — 2013. — 91 с. — URL: http://git.psylab.info/r-library/downloads/Dyakonov2013.pdf.
# Зарядов И. С. Введение в статистический пакет R: типы переменных, структуры данных, чтение и запись информации, графика. — Москва : Изд-во РУДНБ, 2010. — 207 с. — URL: http://git.psylab.info/r-library/downloads/Zaryadov2010-1.pdf.
# Зарядов И. С. Статистический пакет R: теория вероятностей и математическая статистика. — Москва : Изд-во РУДНБ, 2010. — 141 с. — URL: 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. — URL: 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. — URL: http://git.psylab.info/r-library/downloads/Kabacoff2014ru.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. — URL: 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. — URL: http://git.psylab.info/r-library/downloads/Korabeinikov2011.pdf.
# Наглядная статистика. Используем R! / А. Б. Шипунов [и др.]. — Москва : ДМК Пресс, 2014. — 298 с. — ISBN 978-5-97060-094-8. — URL: http://git.psylab.info/r-library/downloads/Shipunov2014.pdf.
# Основные понятия языка R. Учебно-методическое пособие / А. А. Савельев [и др.]. — Казань : Казанский университет, 2007. — 29 с. — URL: http://git.psylab.info/r-library/downloads/Saveliev2007-1.pdf.
# Рабочая группа разработки R. Определение языка R : пер. с англ. — Вер. 3.1.0. — Москва, 2014. — 64 с. — URL: http://git.psylab.info/r-library/downloads/RCoreTeam2014.pdf.
# Савельев А. А., Мухарамова С. С., Пилюгин А. Г. Использование языка R для статистической обработки данных. Учебно-методическое пособие. — Казань : Казанский университет, 2007. — 28 с. — URL: http://git.psylab.info/r-library/downloads/Saveliev2007-2.pdf.
# Статистический анализ данных в системе R. Учебное пособие / А. Г. Буховец [и др.] ; под ред. А. Г. Буховец. — Воронеж : ВГАУ, 2010. — 124 с. — URL: http://git.psylab.info/r-library/downloads/Buhovec2010.pdf.
# Хорник К. Часто задаваемые вопросы по R: R ЧаВо : пер. с англ. — 2007. — 7 с. — URL: http://git.psylab.info/r-library/downloads/Hornik2007.pdf.
# Шитиков В. К., Розенберг Г. С. Рандомизация и бутстреп: статистический анализ в биологии и экологии с использованием R. — Тольятти : Кассандра, 2013. — 314 с. — URL: http://git.psylab.info/r-library/downloads/Shitikov2013.pdf; http://git.psylab.info/r-library/downloads/Shitikov2013.zip.
# Шишкин В. А. Программное обеспечение эконометрических расчетов. — Пермь : ПГНИУ, 2014. — 273 с. — URL: http://git.psylab.info/r-library/downloads/Shashkin2014.pdf.
# Яу Н. Искусство визуализации в бизнесе: Как представить сложную информацию простыми образами / пер. с англ. А. Кирова. — Москва : Манн, Иванов и Фербер, 2013. — 352 с. — ISBN 978-5-91657-737-2. — URL: http://git.psylab.info/r-library/downloads/Yau2013.pdf.


=== Статьи ===

# Коробейников А. И., Балдин Е. М. Взаимосвязь случайных величин // Linux Format. — 2008. — Окт. — № 110. — С. 88—91. — URL: http://git.psylab.info/r-library/downloads/Korabeinikov2008-2.pdf.
# Коробейников А. И., Балдин Е. М. Графические интерфейсы // Linux Format. — 2008. — Нояб. — № 111. — С. 88—91. — URL: http://git.psylab.info/r-library/downloads/Korabeinikov2008-3.pdf.
# Коробейников А. И., Балдин Е. М. Работа с двумя переменными // Linux Format. — 2008. — Сент. — № 109. — С. 96—99. — URL: http://git.psylab.info/r-library/downloads/Korabeinikov2008-1.pdf.
# Петров С. В., Балдин Е. М., Лявшук В. Е. R: GUI на примере // Linux Format. — 2010. — Март. — № 129. — С. 62—65. — URL: http://git.psylab.info/r-library/downloads/Petrov2010-2.pdf.
# Петров С. В., Балдин Е. М., Лявшук В. Е. R: Поиск закономерностей // Linux Format. — 2010. — Май. — № 131. — С. 68—71. — URL: http://git.psylab.info/r-library/downloads/Petrov2010-4.pdf.
# Петров С. В., Балдин Е. М., Лявшук В. Е. R: Размножаем реальность // Linux Format. — 2010. — Февр. — № 128. — С. 68—71. — URL: http://git.psylab.info/r-library/downloads/Petrov2010-1.pdf.
# Петров С. В., Балдин Е. М., Лявшук В. Е. R: Ускоряем на примере // Linux Format. — 2010. — Апр. — № 130. — С. 64—67. — URL: http://git.psylab.info/r-library/downloads/Petrov2010-3.pdf.
# Черняк Л. Язык R: Из учебной лаборатории — в мир больших данных // Открытые системы. — 2012. — № 4. — С. 48—49. — URL: http://git.psylab.info/r-library/downloads/Chernyak2012.pdf.
# Шипунов А. Б., Балдин Е. М. Введение в R. Часть 1 // Linux Format. — 2008. — Янв. — 100/101. — С. 98—101. — URL: http://git.psylab.info/r-library/downloads/Shipunov2008-1.pdf.
# Шипунов А. Б., Балдин Е. М. Введение в R. Часть 2: Данные и графики // Linux Format. — 2008. — Февр. — № 102. — С. 90—94. — URL: http://git.psylab.info/r-library/downloads/Shipunov2008-2.pdf.
# Шипунов А. Б., Балдин Е. М. Введение в R. Часть 3: Типы данных в R // Linux Format. — 2008. — Март. — № 103. — С. 86—90. — URL: http://git.psylab.info/r-library/downloads/Shipunov2008-3.pdf.
# Шипунов А. Б., Балдин Е. М. Введение в R. Часть 4: Начала анализа // Linux Format. — 2008. — Апр. — № 104. — С. 92—96. — URL: http://git.psylab.info/r-library/downloads/Shipunov2008-4.pdf.
# Шипунов А. Б., Балдин Е. М. Интеллектуальный анализ, или Data Mining // Linux Format. — 2008. — Дек. — № 112. — С. 74—77. — URL: http://git.psylab.info/r-library/downloads/Shipunov2008-5.pdf.


=== Презентации ===

# Мастицкий С. Введение в анализ биологических данных при помощи R. — 2014. — URL: http://git.psylab.info/r-library/downloads/Mastitsky2014-1.pdf.
# Мастицкий С. Дисперсионный анализ. — 2014. — URL: http://git.psylab.info/r-library/downloads/Mastitsky2014-9.pdf.
# Мастицкий С. Загрузка данных в R. — 2014. — URL: http://git.psylab.info/r-library/downloads/Mastitsky2014-3.pdf.
# Мастицкий С. Классические статистические тесты для одной и двух выборок. — 2014. — URL: http://git.psylab.info/r-library/downloads/Mastitsky2014-6.pdf.
# Мастицкий С. Ковариационный анализ. — 2014. — URL: http://git.psylab.info/r-library/downloads/Mastitsky2014-10.pdf.
# Мастицкий С. Корреляционный анализ. — 2014. — URL: http://git.psylab.info/r-library/downloads/Mastitsky2014-7.pdf.
# Мастицкий С. Основы языка R. — 2014. — URL: http://git.psylab.info/r-library/downloads/Mastitsky2014-2.pdf.
# Мастицкий С. Простая линейная регрессия. — 2014. — URL: http://git.psylab.info/r-library/downloads/Mastitsky2014-8.pdf.
# Мастицкий С. Разведочный анализ данных: Графики. — 2014. — URL: http://git.psylab.info/r-library/downloads/Mastitsky2014-4.pdf.
# Мастицкий С. Разведочный анализ данных: Описательная статистика. — 2014. — URL: http://git.psylab.info/r-library/downloads/Mastitsky2014-5.pdf.
# Матрунич А. Язык R: анализ и визуализация данных. — 2014. — URL: http://git.psylab.info/r-library/downloads/Matrunich2014.pdf.


=== Онлайн ресурсы ===

# Едунов С. О программировании, алгоритмах и не только. — 2014. — URL: http://www.algorithmist.ru/.
# Мастицкий С. R: Анализ и визуализация данных. — 2014. — URL: http://r-analytics.blogspot.ru/.
# Язык и среда R: Статистическое программное обеспечение. — 2014. — URL: http://r-statistics.livejournal.com/.

[[Категория:R]]