Изменения

# 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. — URL: http://git.psylab.info/r-books/downloads/Curran2010.pdf.

# Dalgaard P. Introductory Statistics with R. — 2nd ed. — Springer, 2008. — 364 pp. — (Statistics and Computing). — ISBN 978-0-387-79053-4. — URL: http://git.psylab.info/r-books/downloads/Dalgaard2008.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/DoucMoulinesStoffe2014.pdf.

# Klemelä J. Smoothing of Multivariate Data: Density Estimation and Visualization. — Wiley, 2009. — 603 pp. — (Wiley Series in Probability and Statistics ; 737). — ISBN 978-0-470-29088-0. — URL: http://git.psylab.info/r-books/downloads/Klemela2009.pdf.

# Knoblauch K., Maloney L. T. Modeling Psychophysical Data in R. — Springer, 2012. — 367 pp. — (Use R! ; 32). — ISBN 978-1-4614-4474-9. — URL: http://git.psylab.info/r-books/downloads/Knoblauch2012.pdf.

# Krause A., Olson M. The Basics of S and S-Plus. — 2nd ed. — Springer, 2000. — 400 pp. — (Statistics and Computing). — ISBN 978-0-387-98961-7. — URL: http://git.psylab.info/r-books/downloads/KrauseOlson2000.pdf.

# Krause A., Olson M. The Basics of S-PLUS. — 4th ed. — Springer, 2005. — 444 pp. — (Statistics and Computing). — ISBN 978-0-387-26109-6. — URL: http://git.psylab.info/r-books/downloads/KrauseOlson2005.pdf.

# The Statistical Sleuth in R: A Course in Methods of Data Analysis / L. Loi [et al.]. — 2013. — 153 pp. — URL: http://git.psylab.info/r-books/downloads/Loi2013.pdf.

# Thiem A., Dusa A. Qualitative Comparative Analysis with R: A User S Guide. — Springer, 2013. — 99 pp. — (SpringerBriefs in Political Science). — ISBN 978-1-4614-4583-8. — URL: http://git.psylab.info/r-books/downloads/ThiemDusa2013.pdf.

# Torgo L. Data Mining with R: Learning with Case Studies. — Chapman, Hall/CRC, 2010. — 305 pp. — (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series). — ISBN 978-1-4398-1018-7. — URL: http://git.psylab.info/r-books/downloads/Torgo2010.pdf; http://git.psylab.info/r-books/downloads/Torgo2010.zip.

# Trosset M. W. An Introduction to Statistical Inference and Its Applications with R. — Chapman, Hall/CRC, 2009. — 496 pp. — (Chapman & Hall/CRC Texts in Statistical Science ; 81). — ISBN 978-1-584-88947-2. — URL: http://git.psylab.info/r-books/downloads/Trosset2009.pdf; http://git.psylab.info/r-books/downloads/Trosset2009.zip.

# Al-Shamaa K. Introduction to R. — 2012. — URL: http://git.psylab.info/r-books/downloads/Al-Shamaa2012.pdf.

# Talley D. R Programming for Psychometrics. — 2013. — URL: http://git.psylab.info/r-books/downloads/Talley2013.pdf.

# Venkat R. An Introduction to R for Traders. — 2012. — URL: http://git.psylab.info/r-books/downloads/Venkat2012-1.pdf.

# Venkat R. R and Hadoop. — 2012. — URL: http://git.psylab.info/r-books/downloads/Venkat2012-2.pdf.