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R (Computer program language)

Most popular at the top

  • Modern Optimization with Rby Paulo Cortez

    Springer International Publishing 2014; US$ 49.99

    The goal of this book is to gather in a single document the most relevant concepts related to modern optimization methods, showing how such concepts and methods can be addressed using the open source, multi-platform R tool. Modern optimization methods, also known as metaheuristics, are particularly useful for solving complex problems for which no specialized... more...

  • The R Bookby Michael J. Crawley

    Wiley 2007; US$ 130.00

    The high-level language of R is recognized as one of the most powerful and flexible statistical software environments, and is rapidly becoming the standard setting for quantitative analysis, statistics and graphics. R provides free access to unrivalled coverage and cutting-edge applications, enabling the user to apply numerous statistical methods ranging... more...

  • Statistics and Data with Rby Yosef Cohen; Jeremiah Y. Cohen

    Wiley 2008; US$ 117.00

    R, an Open Source software, has become the de facto statistical computing environment. It has an excellent collection of data manipulation and graphics capabilities. It is extensible and comes with a large number of packages that allow statistical analysis at all levels – from simple to advanced – and in numerous fields including Medicine,... more...

  • A First Course in Statistical Programming with Rby W. John Braun; Duncan J. Murdoch

    Cambridge University Press 2007; US$ 44.00

    The only introduction you'll need to start programming in R. more...

  • 25 Recipes for Getting Started with Rby Paul Teetor

    O'Reilly Media 2011; US$ 14.99

    R is a powerful tool for statistics and graphics, but getting started with this language can be frustrating. This short, concise book provides beginners with a selection of how-to recipes to solve simple problems with R. Each solution gives you just what you need to know to use R for basic statistics, graphics, and regression. You'll find recipes... more...

  • Statistik für Ökonomenby Wolfgang Kohn; Riza Öztürk

    Springer Berlin Heidelberg 2011; US$ 29.99

    Die Autoren erläutern in einer anschaulichen, anwendungsorientierten und kompakten Darstellung alle elementaren statistischen Verfahren, die in der Ökonomie angewendet werden ? ergänzt durch zahlreiche Beispiele und Übungen. Der Text enthält Programmanweisungen sowohl für das Statistikprogramm R (Open-Source-Progamm) als auch für SPSS. Das Buch richtet... more...

  • Quantum Mechanicsby Daniel Bes

    Springer Berlin Heidelberg 2012; US$ 79.95

    With clear presentation and penetrating analysis, this introduction to quantum mechanics, revised and updated in a third edition, starts from the basic principles and covers a wide spectrum of topics from Heisenberg and Schroedinger to future applications. more...

  • Handbook of Computational Statisticsby James E. Gentle; Wolfgang Karl Härdle; Yuichi Mori

    Springer Berlin Heidelberg 2012; US$ 329.00

    In its revised, expanded 2nd edition, this book offers an overview of Computational Statistics, discusses topics in statistical computing, and includes selected applications in Bioinformatics, Medical Imaging, Finance, Econometrics and Network Intrusion Detection. more...

  • The Essential R Referenceby Mark Gardener

    Wiley 2012; US$ 44.99

    An essential library of basic commands you can copy and paste into R The powerful and open-source statistical programming language R is rapidly growing in popularity, but it requires that you type in commands at the keyboard rather than use a mouse, so you have to learn the language of R. But there is a shortcut, and that's where this unique book... more...

  • The R Bookby Michael J. Crawley

    Wiley 2012; US$ 104.00

    Hugely successful and popular text presenting an extensive and comprehensive guide for all R users The R language is recognized as one of the most powerful and flexible statistical software packages, enabling users to apply many statistical techniques that would be impossible without such software to help implement such large data sets. R has... more...