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# 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.<br />
# Aragón T. J. Applied Epidemiology Using R. — 2013. — 240 pp. — PDF: http://git.psylab.info/r-library/downloads/Aragon2013.pdf.<br />
# 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.<br />. # 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.<br />
# 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.<br />
# 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.<br />
# 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.<br />
# 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.<br />
# 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.<br />. # 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.<br />
# 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.<br />
# 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.<br />. # 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.<br />
# 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.<br />
# 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.<br />
# 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.<br />. # 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.<br />
# 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.<br />
# Burns P. The R Inferno. — 2011. — 126 pp. — PDF: http://git.psylab.info/r-library/downloads/Burns2011.pdf.<br />. # 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.<br />
# 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.<br />
# 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.<br />
# 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. — PDF: http://git.psylab.info/r-library/downloads/Heiberger2004.pdf.<br />
# 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. — PDF: http://git.psylab.info/r-library/downloads/Heiberger2009.pdf.<br />
# 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. — DOI: 10.1002/9781118162729. — PDF: http://git.psylab.info/r-library/downloads/Helsel2012.pdf.<br />. # 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. — PDF: http://git.psylab.info/r-library/downloads/Henry2009.pdf; ZIP: http://git.psylab.info/r-library/downloads/Henry2009.zip.<br /># Hettmansperger T. P., McKean J. W. Robust Nonparametric Statistical Methods and R. — 2nd ed. — CRC Press, 2011. — 553 pp. — (Chapman & Hall/CRC Monographs on Statistics & Applied Probability). — ISBN 978-1-4398-0908-2. — PDF: http://git.psylab.info/r-library/downloads/Hettmansperger2011.pdf; ZIP: http://git.psylab.info/r-library/downloads/Hettmansperger2011.zip.<br />. # Hilbe J. M., Robinson A. P. Methods of Statistical Model Estimation. — Chapman, Hall/CRC, 2013. — 243 pp. — ISBN 978-1-4398-5802-8. — DOI: 10.1201/b14932. — PDF: http://git.psylab.info/r-library/downloads/Hilbe2013.pdf.<br />
# Hoff P. D. A First Course in Bayesian Statistical Methods. — Springer, 2009. — 270 pp. — (Springer Texts in Statistics). — ISBN 978-0-387-92299-7. — DOI: 10.1007/978-0-387-92407-6. — PDF: http://git.psylab.info/r-library/downloads/Hoff2009.pdf; ZIP: http://git.psylab.info/r-library/downloads/Hoff2009.zip.<br />
# Højsgaard S., Edwards D., Lauritzen S. Graphical Models with R. — Springer, 2012. — 182 pp. — (Use R!) — ISBN 978-1-4614-2298-3. — DOI: 10.1007/978-1-4614-2299-0. — PDF: http://git.psylab.info/r-library/downloads/Hojsgaard2012.pdf.<br />
# Iacus S. M. Option Pricing and Estimation of Financial Models with R. — Wiley, 2011. — 472 pp. — ISBN 978-0-470-74584-7. — DOI: 10.1002/9781119990079. — PDF: http://git.psylab.info/r-library/downloads/Iacus2011.pdf.<br />
# 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. — PDF: http://git.psylab.info/r-library/downloads/Stodden2014.pdf; ZIP: http://git.psylab.info/r-library/downloads/Stodden2014.zip.<br />
# 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. — DOI: 10.1201/b12290. — PDF: http://git.psylab.info/r-library/downloads/Chen2012.pdf.<br />. # Introduction to R for Quantitative Finance / G. Daróczi [et al.]. — Packt Publishing, 2013. — 164 pp. — ISBN 978-1-78328-093-3. — PDF: http://git.psylab.info/r-library/downloads/Daroczi2013.pdf; ZIP: http://git.psylab.info/r-library/downloads/Daroczi2013.zip.<br />
# Janacek G. Unlock the Secrets of R. — 2007. — 72 pp. — PDF: http://git.psylab.info/r-library/downloads/Janacek2007.pdf.<br />
# Janert P. K. Data Analysis with Open Source Tools. — O’Reilly Media, 2010. — 540 pp. — ISBN 978-0-596-80235-6. — PDF: http://git.psylab.info/r-library/downloads/Janert2010.pdf; ZIP: http://git.psylab.info/r-library/downloads/Janert2010.zip.<br />
# Karian Z. A., Dudewicz E. J. Handbook of Fitting Statistical Distributions with R. — Chapman, Hall/CRC, 2011. — 1687 pp. — ISBN 978-1-58488-711-9. — DOI: 10.1201/b10159. — PDF: http://git.psylab.info/r-library/downloads/Karian2011.pdf; ZIP: http://git.psylab.info/r-library/downloads/Karian2011.zip.<br />
# 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. — PDF: http://git.psylab.info/r-library/downloads/Kateri2014.pdf.<br />
# Keele L. Semiparametric Regression for the Social Sciences. — Wiley, 2008. — 230 pp. — ISBN 978-0-470-31991-8. — DOI: 10.1002/9780470998137. — PDF: http://git.psylab.info/r-library/downloads/Keele2008.pdf; ZIP: http://git.psylab.info/r-library/downloads/Keele2008.zip.<br />. # 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. — PDF: http://git.psylab.info/r-library/downloads/Kenett2012.pdf; ZIP: http://git.psylab.info/r-library/downloads/Kenett2012.zip.<br />
# 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. — DOI: 10.1002/9781118763667. — PDF: http://git.psylab.info/r-library/downloads/Kenett2014.pdf; ZIP: http://git.psylab.info/r-library/downloads/Kenett2014.zip.<br />
# Kerns G. J. Introduction to Probability and Statistics Using R. — G. Jay Kerns, 2010. — 396 pp. — ISBN 978-0-557-24979-4. — PDF: http://git.psylab.info/r-library/downloads/Kerns2010.pdf.<br />
# 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. — DOI: 10.1201/9781420037173. — PDF: http://git.psylab.info/r-library/downloads/Millard2000.pdf; ZIP: http://git.psylab.info/r-library/downloads/Millard2000.zip.<br />
# 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.<br />
# 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.<br />. # 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. — PDF: http://git.psylab.info/r-library/downloads/Zuur2009a.pdf; ZIP: http://git.psylab.info/r-library/downloads/Zuur2009a.zip.<br />
# 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. — PDF: http://git.psylab.info/r-library/downloads/Lin2012.pdf.<br />
# 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. — PDF: http://git.psylab.info/r-library/downloads/Kaas2008.pdf.<br />
# 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. — DOI: 10.1002/9780470824443. — PDF: http://git.psylab.info/r-library/downloads/Rayner2009.pdf; ZIP: http://git.psylab.info/r-library/downloads/Rayner2009.zip.<br />
# 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. — PDF: http://git.psylab.info/r-library/downloads/RitzStreibig2008.pdf.<br />
# 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. — DOI: 10.1201/b12208. — PDF: http://git.psylab.info/r-library/downloads/Rizopoulos2012.pdf.<br />. # 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. — PDF: http://git.psylab.info/r-library/downloads/Robert2010.pdf; ZIP: http://git.psylab.info/r-library/downloads/Robert2010.zip.<br />. # 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. — PDF: http://git.psylab.info/r-library/downloads/Robinson2011.pdf.<br />. # Robinson R., White H. Elementary Statistics. — 2014. — 404 pp. — PDF: http://git.psylab.info/r-library/downloads/Robinson2014.pdf.<br />
# 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. — PDF: http://git.psylab.info/r-library/downloads/Rosenbaum2010.pdf.<br />
# Rossiter D. G. An example of statistical data analysis using the R environment for statistical computing. — 2014. — 144 pp. — PDF: http://git.psylab.info/r-library/downloads/Rossiter2014.pdf.<br />
# 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. — PDF: http://git.psylab.info/r-library/downloads/Santos-Fernandez2012.pdf.<br />
# 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. — PDF: http://git.psylab.info/r-library/downloads/Sarkar2008.pdf; ZIP: http://git.psylab.info/r-library/downloads/Sarkar2008.zip.<br />
# 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. — DOI: 10.1201/9781439821862. — PDF: http://git.psylab.info/r-library/downloads/Schafer1997.pdf.<br />. # 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. — PDF: http://git.psylab.info/r-library/downloads/Schumacker2013.pdf; ZIP: http://git.psylab.info/r-library/downloads/Schumacker2013.zip.<br />. # Schumacker R. A., Akers A. Understanding Statistical Concepts Using S-plus. — Lawrence Erlbaum Associates, 2001. — 384 pp. — ISBN 978-0-8058-3623-3. — PDF: http://git.psylab.info/r-library/downloads/Schumacker2001.pdf.<br />
# 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. — PDF: http://git.psylab.info/r-library/downloads/Selvin1998.pdf.<br />
# Shahbaba B. Biostatistics with R: An Introduction to Statistics Through Biological Data. — Springer, 2012. — 368 pp. — (Use R!) — ISBN 978-1-4614-1301-1. — DOI: 10.1007/978-1-4614-1302-8. — PDF: http://git.psylab.info/r-library/downloads/Shahbaba2012.pdf; ZIP: http://git.psylab.info/r-library/downloads/Shahbaba2012.zip.<br />
# Sheather S. A Modern Approach to Regression with R. — Springer, 2009. — 393 pp. — (Springer Texts in Statistics). — ISBN 978-0-387-09607-0. — DOI: 10.1007/978-0-387-09608-7. — PDF: http://git.psylab.info/r-library/downloads/Sheather2009.pdf; ZIP: http://git.psylab.info/r-library/downloads/Sheather2009.zip.<br />. # Shumway R. H., Stoffer D. S. Time Series Analysis and Its Applications: With R Examples. — 3rd ed. — Springer, 2011. — 604 pp. — (Springer Texts in Statistics). — ISBN 978-1-4419-7864-6. — DOI: 10.1007/978-1-4419-7865-3. — PDF: http://git.psylab.info/r-library/downloads/Shumway2011.pdf.<br />. # Siegmund D., Yakir B. The Statistics of Gene Mapping. — Springer, 2007. — 337 pp. — (Statistics for Biology and Health). — ISBN 978-0-387-49684-9. — DOI: 10.1007/978-0-387-49686-3. — PDF: http://git.psylab.info/r-library/downloads/Siegmund2007.pdf; ZIP: http://git.psylab.info/r-library/downloads/Siegmund2007.zip.<br />
# Sinha P. P. Bioinformatics with R Cookbook. — Packt Publishing, 2014. — 340 pp. — ISBN 978-1-78328-313-2. — PDF: http://git.psylab.info/r-library/downloads/Sinha2014.pdf.<br />
# 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. — PDF: http://git.psylab.info/r-library/downloads/Soetaert2012.pdf; ZIP: http://git.psylab.info/r-library/downloads/Soetaert2012.zip.<br />
# 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. — DOI: 10.1002/9781119979630. — PDF: http://git.psylab.info/r-library/downloads/Rasch2011-2.pdf; ZIP: http://git.psylab.info/r-library/downloads/Rasch2011-2.zip.<br />
# 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. — PDF: http://git.psylab.info/r-library/downloads/Steyerberg2009.pdf; ZIP: http://git.psylab.info/r-library/downloads/Steyerberg2009.zip.<br />
# Stowell S. Using R for Statistics. — Apress, 2014. — 232 pp. — ISBN 978-1-484201-40-4. — PDF: http://git.psylab.info/r-library/downloads/Stowell2014.pdf; ZIP: http://git.psylab.info/r-library/downloads/Stowell2014.zip.<br />. # 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. — PDF: http://git.psylab.info/r-library/downloads/Suess2010.pdf; ZIP: http://git.psylab.info/r-library/downloads/Suess2010.zip.<br />
# 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. — PDF: http://git.psylab.info/r-library/downloads/Swenson2014.pdf.<br />
# Takezawa K. Introduction to Nonparametric Regression. — Wiley, 2005. — 568 pp. — (Wiley Series in Probability and Statistics ; 606). — ISBN 978-0-471-74583-9. — DOI: 10.1002/0471771457. — DjVu: http://git.psylab.info/r-library/downloads/Takezawa2005.djvu; ZIP: http://git.psylab.info/r-library/downloads/Takezawa2005.zip.<br />
# Tsay R. S. Multivariate Time Series Analysis: With R and Financial Applications. — Wiley, 2014. — 522 pp. — (Wiley Series in Probability and Statistics). — ISBN 978-1-118-61790-8. — PDF: http://git.psylab.info/r-library/downloads/Tsay2014.pdf.<br />
# Tufféry S. Data Mining and Statistics for Decision Making. — Wiley, 2011. — 704 pp. — (Wiley Series in Computational Statistics). — ISBN 978-0-470-68829-8. — DOI: 10.1002/9780470979174. — PDF: http://git.psylab.info/r-library/downloads/Tuffery2011.pdf; ZIP: http://git.psylab.info/r-library/downloads/Tuffery2011.zip.<br />
# Valiente G. Combinatorial Pattern Matching Algorithms in Computational Biology Using Perl and R. — Chapman, Hall/CRC, 2009. — 368 pp. — (Chapman & Hall/CRC Mathematical & Computational Biology). — ISBN 978-1-4200-6973-0. — DOI: 10.1201/9781420069747. — PDF: http://git.psylab.info/r-library/downloads/Valiente2009.pdf.<br />. # Varmuza K., Filzmoser P. Introduction Multivariate Statistical Analysis in Chemometrics. — CRC Press, 2009. — 336 pp. — ISBN 978-1-4200-5947-2. — DOI: 10.1201/9781420059496. — PDF: http://git.psylab.info/r-library/downloads/Varmuza2009.pdf.<br />. # 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. — PDF: http://git.psylab.info/r-library/downloads/Vasishth2011.pdf.<br />
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