3482
правки
Изменения
м
Нет описания правки
# Galecki A., Burzykowski T. Linear Mixed-Effects Models Using R: A Step-by-Step Approach. — Springer, 2013. — 625 pp. — (Springer Texts in Statistics). — ISBN 978-1-4614-3899-1. — DOI: 10.1007/978-1-4614-3900-4. — URL: http://git.psylab.info/r-library/downloads/Galecki2013.pdf.
# Galwey N. W. Introduction to Mixed Modelling: Beyond Regression and Analysis of Variance. — Wiley, 2006. — 377 pp. — ISBN 978-0-470-01496-7. — DOI: 10.1002/9780470035986. — URL: http://git.psylab.info/r-library/downloads/Galwey2006.pdf; http://git.psylab.info/r-library/downloads/Galwey2006.zip.
# Gandrud O. Reproducible Research with R and Rstudio. — Chapman, Hall/CRC, 2013. — 294 pp. — (Chapman & Hall/CRC The R Series). — ISBN 978-1-4665-7285-0. — URL: http://git.psylab.info/r-library/downloads/Gandrud2013.pdf.
# Gardener M. Beginning R: The Statistical Programming Language. — Wrox, 2012. — 504 pp. — ISBN 978-1-118-16430-3. — URL: http://git.psylab.info/r-library/downloads/Gardener2012.pdf; http://git.psylab.info/r-library/downloads/Gardener2012.zip.
# Gardener M. The Essential R Reference. — Wiley, 2013. — 578 pp. — ISBN 978-1-118-39141-9. — URL: http://git.psylab.info/r-library/downloads/Gardener2013.pdf; http://git.psylab.info/r-library/downloads/Gardener2013.zip.
# 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. — DOI: 10.1002/9780470425671. — URL: http://git.psylab.info/r-library/downloads/Klemela2009.pdf.
# Klemelä J. Multivariate Nonparametric Regression and Visualization: With R and Applications to Finance. — Wiley, 2014. — 396 pp. — (Wiley series in computational statistics). — ISBN 978-0-470-38442-8. — URL: http://git.psylab.info/r-library/downloads/Klemela2014.pdf.
# Kloke J., McKean J. W. Nonparametric Statistical Methods Using R. — Chapman, Hall/CRC, 2014. — 287 pp. — (Chapman & Hall/CRC The R Series). — ISBN 978-1-4398-7343-4. — DOI: 10.1201/b17501. — URL: http://git.psylab.info/r-library/downloads/Kloke2014.pdf.
# Knoblauch K., Maloney L. T. Modeling Psychophysical Data in R. — Springer, 2012. — 367 pp. — (Use R! ; 32). — ISBN 978-1-4614-4474-9. — DOI: 10.1007/978-1-4614-4475-6. — URL: http://git.psylab.info/r-library/downloads/Knoblauch2012.pdf.
# Kolaczyk E. D., Csárdi G. Statistical Analysis of Network Data with R. — Springer, 2014. — 207 pp. — (Use R! ; 65). — ISBN 978-1-4939-0982-7. — DOI: 10.1007/978-1-4939-0983-4. — URL: http://git.psylab.info/r-library/downloads/Kolaczyk2014.pdf.
# Wright D. B., London K. Modern Regression Techniques Using R: A Practical Guide. — SAGE Publications Ltd, 2009. — 216 pp. — ISBN 978-1-84787-902-8. — URL: http://git.psylab.info/r-library/downloads/Wright2009.pdf.
# Wünschiers R. Computational Biology: A Practical Introduction to BioData Processing and Analysis with Linux, MySQL, and R. — 2nd ed. — Springer, 2013. — 449 pp. — ISBN 978-3-642-34748-1. — DOI: 10.1007/978-3-642-34749-8. — URL: http://git.psylab.info/r-library/downloads/Wunschiers2013.pdf.
# Xie Y. Dynamic Documents with R and knitr. — Chapman, Hall/CRC, 2013. — 216 pp. — (Chapman & Hall/CRC The R Series). — ISBN 978-1-4822-0354-7. — URL: http://git.psylab.info/r-library/downloads/Xie2013.pdf.
# Yakir B. Introduction to Statistical Thinking. — The Hebrew University, 2011. — 314 pp. — URL: http://git.psylab.info/r-library/downloads/Yakir2011.pdf; http://git.psylab.info/r-library/downloads/Yakir2011.zip.
# Yan X., Su X. G. Linear Regression Analysis: Theory and Computing. — World Scientific Publishing Company, 2009. — 348 pp. — ISBN 978-981-283-410-2. — URL: http://git.psylab.info/r-library/downloads/YanSu2009.pdf.
