IT training r and MATLAB hiebeler 2015 06 23
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IT training r and MATLAB hiebeler 2015 06 23
T, I V ■ wR and MATLAB®David E. HiebelerCRC PressJ Taylor & Francis GroupA CHAPMAN & HALL BOOKR and MATLAB®Chapman & Hall/CRC The R SeriesSeries Edito IT training r and MATLAB hiebeler 2015 06 23orsJohn M. Chambers Department of Statistics Stanford University Stanford. California. USADuncan Temple Lang Department of Statistics University of California. Davis Davis. California, USATorsten Hothorn Division of Biostatistics University of Zurich SwitzerlandHadley Wickham RStudioBoston. Massachu IT training r and MATLAB hiebeler 2015 06 23setts. USAAlms and ScopeThis book series reflects the recent rapid growth in the development and application of R. the programming language and softwaIT training r and MATLAB hiebeler 2015 06 23
re environment for statistical computing and graphics. R is now widely used in academic research, education, and industry. It is constantly growing, wT, I V ■ wR and MATLAB®David E. HiebelerCRC PressJ Taylor & Francis GroupA CHAPMAN & HALL BOOKR and MATLAB®Chapman & Hall/CRC The R SeriesSeries Edito IT training r and MATLAB hiebeler 2015 06 23th the expansion of the software, and this vital book series provides a forum for the publication of books covering many aspects of the development and application of R.The scope of the series is wide, covering three main threads:Applications of R to specific disciplines such as biology, epidemiolog IT training r and MATLAB hiebeler 2015 06 23y, genetics, engineering, finance, and the social sciences.Using R for the study of topics of statistical methodology, such as linear and mixed modeliIT training r and MATLAB hiebeler 2015 06 23
ng, time series, Bayesian methods, and missing data.The development of R. including programming, building packages, and graphics.The books will appealT, I V ■ wR and MATLAB®David E. HiebelerCRC PressJ Taylor & Francis GroupA CHAPMAN & HALL BOOKR and MATLAB®Chapman & Hall/CRC The R SeriesSeries Edito IT training r and MATLAB hiebeler 2015 06 23d examples and R code fully integrated into the text, ensuring their usefulness to researchers, practitioners and students.Published Titlesstated Preference Methods Using R, Hideo Aizaki, Tomoaki Nakatani, and Kazuo SatoUsing R for Numerical Analysis in Science and Engineering. Victor A. BloomfieldE IT training r and MATLAB hiebeler 2015 06 23vent History Analysis with R, Goran BrostromComputational Actuarial Science with R. Arthur CharpentierStatistical Computing in C++ and R. Randall L. EIT training r and MATLAB hiebeler 2015 06 23
ubank and Ana KupresaninReproducible Research with R and RStudio, Second Edition, Christopher GandrudR and MATLAB® David E. HiebelerNonparametric StatT, I V ■ wR and MATLAB®David E. HiebelerCRC PressJ Taylor & Francis GroupA CHAPMAN & HALL BOOKR and MATLAB®Chapman & Hall/CRC The R SeriesSeries Edito IT training r and MATLAB hiebeler 2015 06 23Graphical User Interfaces with R, Michael F. Lawrence and John VerzaniAnalyzing Sensory Data with R. Sébastien Lê and Theirry WorchParallel Computing for Data Science: With Examples In R, C++ and CUDA. Norman Matloff IT training r and MATLAB hiebeler 2015 06 23T, I V ■ wR and MATLAB®David E. HiebelerCRC PressJ Taylor & Francis GroupA CHAPMAN & HALL BOOKR and MATLAB®Chapman & Hall/CRC The R SeriesSeries EditoGọi ngay
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