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# 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.
# 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.
# Agresti A. Financial Risk Modelling and Portfolio Optimization with R. — Wiley, 2015. — 472 pp. — (Wiley Series in Probability and Statistics). — ISBN 978-1-118-73003-4. — PDF: http://git.psylab.info/r-library/downloads/Agresti2015.pdf; ZIP: http://git.psylab.info/r-library/downloads/Agresti2015.zip.
# 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.
# 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.
# Gelman A., Hill J. Data Analysis Using Regression and Multilevel/Hierarchical Models. — Cambridge University Press, 2006. — 651 pp. — ISBN 978-0-521-86706-1. — DOI: 10.1017/cbo9780511790942. — PDF: 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. — DOI: 10.1201/9781420063684. — PDF: http://git.psylab.info/r-library/downloads/Gentleman2008.pdf; ZIP: http://git.psylab.info/r-library/downloads/Gentleman2008.zip.
# Gerrard P., Johnson R. M. Mastering Scientific Computing with R: Employ professional quantitative methods to answer scientific questions with a powerful open source data analysis environment. — Packt Publishing, 2015. — 432 pp. — ISBN 978-1-78355-525-3. — PDF: http://git.psylab.info/r-library/downloads/Gerrard2015.pdf; ZIP: http://git.psylab.info/r-library/downloads/Gerrard2015.zip.
# Gilli M., Maringer D., Schumann E. Numerical Methods and Optimization in Finance. — Academic Press, 2011. — 584 pp. — ISBN 978-0-12-375662-6. — PDF: http://git.psylab.info/r-library/downloads/Gilli2011.pdf; ZIP: 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. — DOI: 10.1002/9781118497593. — PDF: http://git.psylab.info/r-library/downloads/Good2013.pdf.
