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R (Computer program language)

  • R by Exampleby Jim Albert; Maria Rizzo

    Springer New York 2012; US$ 65.31

    This example-based general introduction to the statistical computing environment does not assume any previous familiarity with R or other software packages. R functions are compellingly presented in the context of interesting applications with real data. more...

  • A Tiny Handbook of Rby Mike Allerhand

    Springer Berlin Heidelberg 2011; US$ 38.09

    A handbook of the R statistical programming language, this volume provides a roadmap for the R language and programming environment, pointing readers to further resources and documentation. more...

  • Quantum Mechanicsby Daniel Bes

    Springer Berlin Heidelberg 2012; US$ 57.69

    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...

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

    Cambridge University Press 2007; US$ 44.00 US$ 36.08

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

  • R for Marketing Research and Analyticsby Christopher N. Chapman; Elea McDonnell Feit

    Springer International Publishing 2015; US$ 51.16

    This book is a complete introduction to the power of R for marketing research practitioners. The text describes statistical models from a conceptual point of view with a minimal amount of mathematics, presuming only an introductory knowledge of statistics. Hands-on chapters accelerate the learning curve by asking readers to interact with R from... more...

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

    Wiley 2008; US$ 117.00 US$ 101.40

    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...

  • R for Statisticsby Pierre-Andre Cornillon; Arnaud Guyader; Francois Husson; Nicolas Jegou; Julie Josse; Maela Kloareg; Eric Matzner-Lober; Laurent Rouvière

    CRC Press 2012; US$ 69.95

    Although there are currently a wide variety of software packages suitable for the modern statistician, R has the triple advantage of being comprehensive, widespread, and free. Published in 2008, the second edition of Statistiques avec R enjoyed great success as an R guidebook in the French-speaking world. Translated and updated, R for Statistics... more...

  • Modern Optimization with Rby Paulo Cortez

    Springer International Publishing 2014; US$ 38.09

    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 US$ 112.67

    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...

  • The R Bookby Michael J. Crawley

    Wiley 2012; US$ 104.00 US$ 90.13

    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...