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# 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.
# 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.
# Chapman C. N., Feit E. M. R for Marketing Research and Analytics. — Springer, 2015. — 454 pp. — (Use R!) — ISBN 978-3-319-14435-1. — DOI: 10.1007/978-3-319-14436-8. — PDF: http://git.psylab.info/r-library/downloads/Chapman2015.pdf.
# Chatterjee S., Hadi A. S. Regression Analysis by Example. — 5th ed. — Wiley, 2012. — 424 pp. — (Wiley Series in Probability and Statistics). — ISBN 978-0-470-90584-5. — PDF: http://git.psylab.info/r-library/downloads/Chatterjee2012.pdf; ZIP: http://git.psylab.info/r-library/downloads/Chatterjee2012.zip.
# 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.
# 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.
# 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.
# Dayal V. An Introduction to R for Quantitative Economics: Graphing, Simulating and Computing. — Springer, 2015. — 109 pp. — (SpringerBriefs in Economics). — ISBN 978-81-322-2339-9. — DOI: 10.1007/978-81-322-2340-5. — PDF: http://git.psylab.info/r-library/downloads/Dayal2015.pdf.
# 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.
# 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.
# 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. — PDF: http://git.psylab.info/r-library/downloads/Gries2013.pdf; ZIP: http://git.psylab.info/r-library/downloads/Gries2013.zip.
# Grolemund G. Hands-On Programming with R: Write Your Own Functions and Simulations. — O’Reilly Media, 2014. — 248 pp. — ISBN 978-1-4493-5901-0. — PDF: http://git.psylab.info/r-library/downloads/Grolemund2014.pdf.
# Hardle W. K., Simar L. Applied Multivariate Statistical Analysis. — 4th ed. — Springer, 2015. — 580 pp. — ISBN 978-3-662-45170-0. — DOI: 10.1007/978-3-662-45171-7. — PDF: http://git.psylab.info/r-library/downloads/Hardle2015.pdf; ZIP: http://git.psylab.info/r-library/downloads/Hardle2015.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. — PDF: http://git.psylab.info/r-library/downloads/Hastie2009.pdf; ZIP: 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. — PDF: http://git.psylab.info/r-library/downloads/Hay-Jahans2011.pdf; ZIP: http://git.psylab.info/r-library/downloads/Hay-Jahans2011.zip.
# 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.
# 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.
# Scott D. W. Multivariate Density Estimation: Theory, Practice, and Visualization. — 2nd ed. — Wiley, 2015. — 384 pp. — (Wiley Series in Probability and Statistics). — ISBN 978-0-471-69755-8. — DOI: 10.1002/9781118575574. — PDF: http://git.psylab.info/r-library/downloads/Scott2015.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. — PDF: 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. — PDF: http://git.psylab.info/r-library/downloads/Shahbaba2012.pdf; ZIP: http://git.psylab.info/r-library/downloads/Shahbaba2012.zip.
