R:Литература — различия между версиями

Версия 15:23, 2 ноября 2014

Авторское право 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 R, находящихся в открытом доступе. Полное библиографическое описание представленных материалов в формате Biblatex находится по следующем 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 gost-numeric из пакета Biblatex-GOST.

На английском языке

Книги

1. Abedin J. Data Manipulation with R. — Packt Publishing, 2014. — 103 pp. — ISBN 978-1-78328-109-1. — PDF: http://git.psylab.info/r-library/downloads/Abedin2014.pdf; ZIP: http://git.psylab.info/r-library/downloads/Abedin2014.zip.
   
2. 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. — PDF: http://git.psylab.info/r-library/downloads/Adler2012.pdf.
   
3. 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. — PDF: http://git.psylab.info/r-library/downloads/Vinod2010.pdf.
   
4. 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. — DOI: 10.1201/b17292. — PDF: http://git.psylab.info/r-library/downloads/Aizaki2014.pdf.
   
5. 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. — PDF: http://git.psylab.info/r-library/downloads/Albert2009.pdf.
   
6. 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. — PDF: http://git.psylab.info/r-library/downloads/Albert2012.pdf.
   
7. 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. — PDF: http://git.psylab.info/r-library/downloads/Allerhand2011.pdf.
   
8. Altham P. M. E. Introduction to Statistical Modelling in R. — University of Cambridge, 2012. — 115 pp. — PDF: http://git.psylab.info/r-library/downloads/Altham2012.pdf.
   
9. 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. — PDF: http://git.psylab.info/r-library/downloads/James2013.pdf; ZIP: http://git.psylab.info/r-library/downloads/James2013.zip.
   
10. 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. — PDF: http://git.psylab.info/r-library/downloads/Armstrong2014.pdf.
    
11. 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. — DOI: 10.1201/EBK1439836149. — PDF: http://git.psylab.info/r-library/downloads/Ando2010.pdf; ZIP: http://git.psylab.info/r-library/downloads/Ando2010.zip.
    
12. Aragón T. J. Applied Epidemiology Using R. — 2013. — 240 pp. — PDF: http://git.psylab.info/r-library/downloads/Aragon2013.pdf.
    
13. 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. — PDF: http://git.psylab.info/r-library/downloads/Arratia2014.pdf.
    . Automated Data Collection with R: A Practical Guide to Web Scraping and Text Mining / S. Munzert [et al.]. — Wiley, 2015. — 472 pp. — ISBN 978-1-118-83481-7. — PDF: http://git.psylab.info/r-library/downloads/Munzert2015.pdf.
    
14. Azzalini A., Capitanio A. The Skew-Normal and Related Families. — Cambridge University Press, 2014. — 272 pp. — ISBN 978-1-107-02927-9. — PDF: http://git.psylab.info/r-library/downloads/Azzalini2014.pdf.
    
15. 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. — DOI: 10.1017/cbo9780511801686. — PDF: http://git.psylab.info/r-library/downloads/Baayen2008.pdf.
    
16. Barker T. Pro Data Visualization using R and JavaScript. — Apress, 2013. — 207 pp. — ISBN 978-1-4302-5806-3. — PDF: http://git.psylab.info/r-library/downloads/Barker2013.pdf.
    
17. Basic R for Finance / D. Würtz [et al.]. — Zurich : Rmetrics Association & Finance Online Publishing, 2010. — 312 pp. — ISBN 978-3-906041-02-5. — PDF: http://git.psylab.info/r-library/downloads/Wurtz2010.pdf.
    
18. Beaujean A. A. Latent Variable Modeling Using R: A Step-by-Step Guide. — Routledge, 2014. — 218 pp. — ISBN 978-1-84872-698-7. — PDF: http://git.psylab.info/r-library/downloads/Beaujean2014.pdf; ZIP: http://git.psylab.info/r-library/downloads/Beaujean2014.zip.
    
19. 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. — PDF: http://git.psylab.info/r-library/downloads/Beckerman2012.pdf.
    
20. Beeley C. Web Application Development with R Using Shiny. — Packt Publishing, 2013. — 110 pp. — ISBN 978-1-78328-447-4. — PDF: http://git.psylab.info/r-library/downloads/Beeley2013.pdf; ZIP: http://git.psylab.info/r-library/downloads/Beeley2013.zip.
    
21. Berridge D. M., Crouchley R. Multivariate Generalized Linear Mixed Models Using R. — CRC Press, 2011. — 284 pp. — ISBN 978-1-4398-1327-0. — PDF: http://git.psylab.info/r-library/downloads/Berridge2011.pdf.
    
22. 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. — PDF: http://git.psylab.info/r-library/downloads/Beyersmann2012.pdf.
    
23. 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. — PDF: http://git.psylab.info/r-library/downloads/Hahne2008.pdf.
    
24. 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.
    
25. 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.
    
26. 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/Bloomfield2009.pdf.
    
27. 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/Bloomfield2014.pdf; ZIP: 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. — PDF: http://git.psylab.info/r-library/downloads/Bogetoft2011.pdf.
    
28. 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.
    
29. 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. — PDF: 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. — PDF: http://git.psylab.info/r-library/downloads/Boos2013.pdf.
    
30. 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. — PDF: http://git.psylab.info/r-library/downloads/Borcard2011.pdf.
    
31. 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. — PDF: http://git.psylab.info/r-library/downloads/Braun2007.pdf.
    
32. Bretz F., Hothorn T., Westfall P. Multiple Comparisons Using R. — Chapman, Hall/CRC, 2011. — 194 pp. — ISBN 978-1-58488-574-0. — DOI: 10.1201/9781420010909. — PDF: 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. — PDF: http://git.psylab.info/r-library/downloads/Broman2009.pdf; ZIP: http://git.psylab.info/r-library/downloads/Broman2009.zip.
    
33. Broström G. Event History Analysis with R. — CRC Press, 2012. — 234 pp. — (Chapman & Hall/CRC The R Series). — ISBN 978-1-4398-3164-9. — PDF: http://git.psylab.info/r-library/downloads/Brostroem2012.pdf.
    
34. Burns P. The R Inferno. — 2011. — 126 pp. — PDF: 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. — DOI: 10.1201/b11826. — PDF: http://git.psylab.info/r-library/downloads/Buuren2012.pdf.
    
35. 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. — PDF: http://git.psylab.info/r-library/downloads/Cano2012.pdf.
    
36. 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. — PDF: http://git.psylab.info/r-library/downloads/Carmona2014.pdf.
    
37. Chambers J. M. Programming with Data: A Guide to the S Language. — Springer, 1998. — 486 pp. — ISBN 978-0-387-98503-9. — DOI: 10.1007/978-1-4684-6306-4. — PDF: http://git.psylab.info/r-library/downloads/Chambers1998.pdf.
    
38. 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. — PDF: http://git.psylab.info/r-library/downloads/Chambers2008.pdf.
    
39. Chambers J. M., Hastie T. J. Statistical models in S. — Chapman, Hall/CRC, 1991. — 608 pp. — ISBN 978-0-412-83040-2. — PDF: http://git.psylab.info/r-library/downloads/Chambers1991.pdf.
    
40. 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. — DOI: 10.1002/9781118032466. — PDF: http://git.psylab.info/r-library/downloads/Chan2010.pdf; ZIP: http://git.psylab.info/r-library/downloads/Chan2010.zip.
    
41. 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. — PDF: http://git.psylab.info/r-library/downloads/Chang2008.pdf.
    
42. 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. — PDF: http://git.psylab.info/r-library/downloads/Chang2012.pdf.
    
43. Chang W. R Graphics Cookbook. — O’Reilly Media, 2012. — 413 pp. — ISBN 978-1-449-31695-2. — PDF: http://git.psylab.info/r-library/downloads/Chang2012-1.pdf.
    
44. 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. — DOI: 10.1002/9781118532843. — PDF: http://git.psylab.info/r-library/downloads/Chatterjee2013.pdf; ZIP: http://git.psylab.info/r-library/downloads/Chatterjee2013.zip.
    
45. Chattopadhyay A. K., Chattopadhyay T. Statistical Methods for Astronomical Data Analysis. — Springer, 2014. — 349 pp. — (Springer Series in Astrostatistics ; 3). — ISBN 978-1-4939-1506-4. — DOI: 10.1007/978-1-4939-1507-1. — PDF: http://git.psylab.info/r-library/downloads/Chattopadhyay2014.pdf.
    
46. 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. — DOI: 10.1201/b10478. — PDF: http://git.psylab.info/r-library/downloads/Chen2011.pdf.
    
47. 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. — PDF: http://git.psylab.info/r-library/downloads/Chen2013.pdf.
    
48. 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. — PDF: http://git.psylab.info/r-library/downloads/Chernick2011.pdf; ZIP: http://git.psylab.info/r-library/downloads/Chernick2011.zip.
    
49. 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. — DOI: 10.1201/b10783. — PDF: http://git.psylab.info/r-library/downloads/Cheung2011.pdf.
    
50. Chihara L. M., Hesterberg T. C. Mathematical Statistics with Resampling and R. — Wiley, 2011. — 434 pp. — ISBN 978-1-118-02985-5. — PDF: http://git.psylab.info/r-library/downloads/Chihara2011.pdf; ZIP: http://git.psylab.info/r-library/downloads/Chihara2011.zip.
    
51. Clark M. Introduction to R: A First Course in R. — Center for Social Research University of Notre Dame, 2013. — 29 pp. — PDF: http://git.psylab.info/r-library/downloads/Clark2013.pdf.
    
52. 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. — PDF: http://git.psylab.info/r-library/downloads/Claude2008.pdf.
    
53. Coghlan A. A Little Book of R for Biomedical Statistics. — University College Cork, 2013. — 31 pp. — PDF: http://git.psylab.info/r-library/downloads/Coghlan2013-1.pdf.
    
54. Coghlan A. A Little Book of R for Multivariate Analysis. — University College Cork, 2013. — 47 pp. — PDF: http://git.psylab.info/r-library/downloads/Coghlan2013-2.pdf.
    
55. Coghlan A. A Little Book of R for Time Series. — University College Cork, 2014. — 71 pp. — PDF: http://git.psylab.info/r-library/downloads/Coghlan2014.pdf.
    
56. 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. — DOI: 10.1002/9780470721896. — PDF: http://git.psylab.info/r-library/downloads/Cohen2008.pdf.
    
57. 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. — PDF: http://git.psylab.info/r-library/downloads/Charpentier2014.pdf.
    
58. 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. — PDF: http://git.psylab.info/r-library/downloads/Cook2007.pdf.
    
59. Cotton R. Learning R. — O’Reilly Media, 2013. — 400 pp. — ISBN 978-1-449-35710-8. — PDF: http://git.psylab.info/r-library/downloads/Cotton2013.pdf.
    
60. 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. — PDF: http://git.psylab.info/r-library/downloads/Cowles2013.pdf.
    
61. 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. — PDF: http://git.psylab.info/r-library/downloads/Cowpertwait2009.pdf.
    
62. Crawley M. J. Statistics: An Introduction Using R. — Wiley, 2005. — 334 pp. — ISBN 978-0-470-02298-6. — DOI: 10.1002/9781119941750. — PDF: http://git.psylab.info/r-library/downloads/Crawley2005.pdf; ZIP: http://git.psylab.info/r-library/downloads/Crawley2005.zip.
    
63. Crawley M. J. The R Book. — 2nd ed. — Wiley, 2013. — 1076 pp. — ISBN 978-0-470-97392-9. — DOI: 10.1002/9781118448908. — PDF: http://git.psylab.info/r-library/downloads/Crawley2013.pdf; ZIP: http://git.psylab.info/r-library/downloads/Crawley2013.zip.
    
64. Crawley M. J. Statistics: An Introduction Using R. — 2nd ed. — Wiley, 2014. — 336 pp. — ISBN 978-1-118-94109-6. — PDF: http://git.psylab.info/r-library/downloads/Crawley2014.pdf.
    
65. 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. — DOI: 10.1201/b11893. — PDF: http://git.psylab.info/r-library/downloads/Crowder2012.pdf; ZIP: http://git.psylab.info/r-library/downloads/Crowder2012.zip.
    
66. 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. — PDF: http://git.psylab.info/r-library/downloads/Cryer2008.pdf; ZIP: http://git.psylab.info/r-library/downloads/Cryer2008.zip.
    
67. 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. — PDF: http://git.psylab.info/r-library/downloads/Curran2010.pdf.
    
68. 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. — PDF: http://git.psylab.info/r-library/downloads/Dalgaard2008.pdf.
    
69. 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. — PDF: http://git.psylab.info/r-library/downloads/Danneman2014.pdf; ZIP: http://git.psylab.info/r-library/downloads/Danneman2014.zip.
    
70. 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. — DOI: 10.1002/9781118651537. — PDF: http://git.psylab.info/r-library/downloads/Demidenko2013.pdf; ZIP: http://git.psylab.info/r-library/downloads/Demidenko2013.zip.
    
71. Deshmukh S. R. 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. — PDF: http://git.psylab.info/r-library/downloads/Deshmukh2012.pdf.
    
72. Dobrow R. P. Probability: With Applications and R. — Wiley, 2014. — 520 pp. — ISBN 978-1-118-24125-7. — PDF: http://git.psylab.info/r-library/downloads/Dobrow2014.pdf.
    
73. 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. — DOI: 10.1201/9781420011210. — PDF: http://git.psylab.info/r-library/downloads/Douc2014.pdf.
    
74. 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. — PDF: http://git.psylab.info/r-library/downloads/Dudoit2008.pdf.
    
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148. 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. — PDF: http://git.psylab.info/r-library/downloads/Lamigueiro2014.pdf; ZIP: http://git.psylab.info/r-library/downloads/Lamigueiro2014.zip.
     
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154. Leipzig J., Li X. Data Mashups in R. — O’Reilly Media, 2011. — 40 pp. — ISBN 978-1-449-30353-2. — PDF: http://git.psylab.info/r-library/downloads/Leipzig2011.pdf.
     
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162. 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. — PDF: http://git.psylab.info/r-library/downloads/Mahajan2010.pdf.
     
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166. 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.
     
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170. 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.
     
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175. 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. — PDF: http://git.psylab.info/r-library/downloads/Mirman2014.pdf.
     
176. Mittal H. V. R Graphs Cookbook. — Packt Publishing, 2011. — 272 pp. — ISBN 978-1-849513-06-7. — PDF: http://git.psylab.info/r-library/downloads/Mittal2011.pdf; ZIP: http://git.psylab.info/r-library/downloads/Mittal2011.zip.
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180. 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. — PDF: http://git.psylab.info/r-library/downloads/Muenchen2010.pdf; ZIP: http://git.psylab.info/r-library/downloads/Muenchen2010.zip.
     
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187. 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. — PDF: http://git.psylab.info/r-library/downloads/Nolan2014.pdf.
     
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190. Ohri A. R for Business Analytics. — Springer, 2013. — 319 pp. — ISBN 978-1-4614-4342-1. — DOI: 10.1007/978-1-4614-4343-8. — PDF: http://git.psylab.info/r-library/downloads/Ohri2013.pdf.
     
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195. 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.
     
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197. 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/Pfaff2008.pdf; ZIP: http://git.psylab.info/r-library/downloads/Pfaff2008.zip.
     
198. 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/Pfaff2013.pdf; ZIP: http://git.psylab.info/r-library/downloads/Pfaff2013.zip.
     
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202. 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. — PDF: http://git.psylab.info/r-library/downloads/Pruscha2013.pdf.
     
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204. 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. — PDF: http://git.psylab.info/r-library/downloads/Ramsay2009.pdf.
     
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34. Sedar J. Customer Clustering for Retailer Marketing: An exploratory data science project with reference to useful R packages. — 2014. — PDF: http://git.psylab.info/r-library/downloads/Sedar2014.pdf.
    
35. Seidman J., Venkataramaiah R. Distributed Data Analysis with Hadoop and R. — 2011. — PDF: http://git.psylab.info/r-library/downloads/Seidman2011.pdf.
    
36. Al-Shamaa K. Introduction to R. — 2012. — PDF: http://git.psylab.info/r-library/downloads/Al-Shamaa2012.pdf.
    
37. Talley D. R Programming for Psychometrics. — 2013. — PDF: http://git.psylab.info/r-library/downloads/Talley2013.pdf.
    
38. Urbanek S. Tackling Big Data with R: New features and old concepts for handling large and streaming data in practice. — 2013. — PDF: http://git.psylab.info/r-library/downloads/Urbanek2013.pdf.
    
39. Venkat R. An Introduction to R for Traders. — 2012. — PDF: http://git.psylab.info/r-library/downloads/Venkat2012-1.pdf.
    
40. Venkat R. R and Hadoop. — 2012. — PDF: http://git.psylab.info/r-library/downloads/Venkat2012-2.pdf.
    
41. Wickham H. ggplot2. — 2007. — PDF: http://git.psylab.info/r-library/downloads/Wickham2007.pdf.
    
42. Wickham H. ggplot2 basics. — 2012. — PDF: http://git.psylab.info/r-library/downloads/Wickham2012.pdf.
    
43. Wickham H. Bigger data analysis. — 2013. — PDF: http://git.psylab.info/r-library/downloads/Wickham2013.pdf.
    
44. Wickham H. Packages are easy! — 2014. — PDF: http://git.psylab.info/r-library/downloads/Wickham2014.pdf.
    
45. Yoshida K. Descriptive Statistics with R. — 2012. — PDF: http://git.psylab.info/r-library/downloads/Yoshida2012-3.pdf.
    
46. Yoshida K. Groupwise comparison of continuous variables in R. — 2012. — PDF: http://git.psylab.info/r-library/downloads/Yoshida2012-5.pdf.
    
47. Yoshida K. Introduction to R. — 2012. — PDF: http://git.psylab.info/r-library/downloads/Yoshida2012-1.pdf.
    
48. Yoshida K. Readinginto data R. — 2012. — PDF: http://git.psylab.info/r-library/downloads/Yoshida2012-2.pdf.
    
49. Yoshida K. Tabulating data with R. — 2012. — PDF: http://git.psylab.info/r-library/downloads/Yoshida2012-4.pdf.
    
50. Yoshida K. Installing and configuring R & RStudio. — 2013. — PDF: http://git.psylab.info/r-library/downloads/Yoshida2013-1.pdf.
    
51. Yoshida K. Manipulationg data in R. — 2013. — PDF: http://git.psylab.info/r-library/downloads/Yoshida2013-3.pdf.
    
52. Yoshida K. Preparing data for modeling in R. — 2013. — PDF: http://git.psylab.info/r-library/downloads/Yoshida2013-4.pdf.
    
53. Yoshida K. Reading and Manipulationg data in R. — 2013. — PDF: http://git.psylab.info/r-library/downloads/Yoshida2013-2.pdf.
    
54. Zahn I. Introduction to R Programming. — 2013. — PDF: http://git.psylab.info/r-library/downloads/Zahn2013-3.pdf.
    
55. Zahn I. Introduction to the R Statistical Computing Environment. — 2013. — PDF: http://git.psylab.info/r-library/downloads/Zahn2013-1.pdf.
    
56. Zahn I. Regression Models in R. — 2013. — PDF: http://git.psylab.info/r-library/downloads/Zahn2013-2.pdf.
    
57. Zahn I. Introduciton to R Graphics with ggplot2. — 2014. — PDF: http://git.psylab.info/r-library/downloads/Zahn2014.pdf.
    
58. Zhang V. S. Building Interactive Web APP with Shiny. — 2014. — PDF: http://git.psylab.info/r-library/downloads/Zhang2014.pdf.

Онлайн ресурсы

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

На русском языке

Книги

1. 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. — PDF: http://git.psylab.info/r-library/downloads/Venables2014.pdf.
   
2. 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. — PDF: http://git.psylab.info/r-library/downloads/Volkova2008.pdf.
   
3. Геостатистический анализ данных в экологии и природопользовании (с применением пакета R): Учебное пособие / А. А. Савельев [и др.]. — Казань : Казанский университет, 2012. — 120 с. — PDF: http://git.psylab.info/r-library/downloads/Saveliev2012.pdf.
   
4. Дружков П. Н., Золотых Н. Ю., Половинкин А. Н. Введение в R. — 2013. — 18 с. — PDF: http://git.psylab.info/r-library/downloads/Drujkov2013.pdf.
   
5. Дьяконов А. Г. Справочник по базовым командам систеиы R. — 2013. — 91 с. — PDF: http://git.psylab.info/r-library/downloads/Dyakonov2013.pdf.
   
6. Зарядов И. С. Введение в статистический пакет R: типы переменных, структуры данных, чтение и запись информации, графика. — Москва : Изд-во РУДНБ, 2010. — 207 с. — PDF: http://git.psylab.info/r-library/downloads/Zaryadov2010-1.pdf.
   
7. 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.
   
8. 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.
   
9. 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/Kabacoff2014ru.pdf.
   
10. 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.
    
11. 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.
    
12. Наглядная статистика. Используем R! / А. Б. Шипунов [и др.]. — Москва : ДМК Пресс, 2014. — 298 с. — ISBN 978-5-97060-094-8. — PDF: http://git.psylab.info/r-library/downloads/Shipunov2014.pdf.
    
13. Основные понятия языка R. Учебно-методическое пособие / А. А. Савельев [и др.]. — Казань : Казанский университет, 2007. — 29 с. — PDF: http://git.psylab.info/r-library/downloads/Saveliev2007-1.pdf.
    
14. Рабочая группа разработки R. Определение языка R : пер. с англ. — Вер. 3.1.0. — Москва, 2014. — 64 с. — PDF: http://git.psylab.info/r-library/downloads/RCoreTeam2014.pdf.
    
15. 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. — PDF: http://git.psylab.info/r-library/downloads/Saveliev2007-2.pdf.
    
16. Статистический анализ данных в системе R. Учебное пособие / А. Г. Буховец [и др.] ; под ред. А. Г. Буховец. — Воронеж : ВГАУ, 2010. — 124 с. — PDF: http://git.psylab.info/r-library/downloads/Buhovec2010.pdf.
    
17. Хорник К. Часто задаваемые вопросы по R: R ЧаВо : пер. с англ. — 2007. — 7 с. — PDF: http://git.psylab.info/r-library/downloads/Hornik2007.pdf.
    
18. Шитиков В. К., Розенберг Г. С. Рандомизация и бутстреп: статистический анализ в биологии и экологии с использованием R. — Тольятти : Кассандра, 2013. — 314 с. — PDF: http://git.psylab.info/r-library/downloads/Shitikov2013.pdf; ZIP: http://git.psylab.info/r-library/downloads/Shitikov2013.zip.
    
19. Шишкин В. А. Программное обеспечение эконометрических расчетов. — Пермь : ПГНИУ, 2014. — 273 с. — PDF: http://git.psylab.info/r-library/downloads/Shashkin2014.pdf.
    
20. 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. — PDF: http://git.psylab.info/r-library/downloads/Yau2013.pdf.

Статьи

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

Презентации

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

Онлайн ресурсы

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