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# 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-books/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-books/downloads/Ando2010.pdf; http://git.psylab.info/r-books/downloads/Ando2010.zip.
# Aragón T. J. Applied Epidemiology Using R. — 2013. — 240 pp. — URL: http://git.psylab.info/r-books/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-books/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-books/downloads/Azzalini2014.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-books/downloads/Danneman2014.pdf; http://git.psylab.info/r-books/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-books/downloads/Demidenko2013.pdf; http://git.psylab.info/r-books/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-books/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-books/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-books/downloads/Douc2014.pdf.
# 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-books/downloads/Faraway2006.pdf; http://git.psylab.info/r-books/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-books/downloads/Feigelson2012.pdf; http://git.psylab.info/r-books/downloads/Feigelson2012.zip.
# Finch W. H., Bolin J. E., Kelley K. Multilevel Modeling Using R. — Chapman, Hall/CRCPress, 2014. — 226 pp. — (Statistics for Social and Behavioral Sciences). — ISBN 978-1-4665-1586-4. — URL: http://git.psylab.info/r-books/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-books/downloads/Foulkes2009.pdf; http://git.psylab.info/r-books/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-books/downloads/Fox2002.pdf.
# 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-books/downloads/MacFarland2014.pdf; http://git.psylab.info/r-books/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-books/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-books/downloads/Maindonald2010.pdf; http://git.psylab.info/r-books/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-books/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-books/downloads/MarquesdeSa2007.pdf.
