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R (Computer program language)

  • Mastering Scientific Computing with Rby Paul Gerrard; Radia M. Johnson

    Packt Publishing 2015; US$ 29.99

    If you want to learn how to quantitatively answer scientific questions for practical purposes using the powerful R language and the open source R tool ecosystem, this book is ideal for you. It is ideally suited for scientists who understand scientific concepts, know a little R, and want to be able to start applying R to be able to answer empirical... more...

  • R High Performance Programmingby Aloysius Lim; William Tjhi

    Packt Publishing 2015; US$ 17.99

    This book is for programmers and developers who want to improve the performance of their R programs by making them run faster with large data sets or who are trying to solve a pesky performance problem. more...

  • R Data Visualization Cookbookby Atmajitsinh Gohil

    Packt Publishing 2015; US$ 26.99

    If you are a data journalist, academician, student or freelance designer who wants to learn about data visualization, this book is for you. Basic knowledge of R programming is expected. more...

  • Bioinformatics with R Cookbookby Paurush Praveen Sinha

    Packt Publishing 2014; US$ 32.99

    This book is an easy-to-follow, stepwise guide to handle real life Bioinformatics problems. Each recipe comes with a detailed explanation to the solution steps. A systematic approach, coupled with lots of illustrations, tips, and tricks will help you as a reader grasp even the trickiest of concepts without difficulty. This book is ideal for computational... more...

  • R Quick Syntax Referenceby Margot Tollefson

    Springer 2014; US$ 13.99

    The R Quick Syntax Reference is a handy reference book detailing the intricacies of the R language. Not only is R a free, open-source tool, R is powerful, flexible, and has state of the art statistical techniques available. With the many details which must be correct when using any language, however, the R Quick Syntax Reference makes using R easier.Starting... more...

  • R Data Analysis without Programmingby David W. Gerbing

    Taylor and Francis 2013; US$ 49.95

    This book prepares readers to analyze data and interpret statistical results using R more quickly than other texts. R is a challenging program to learn because code must be created to get started. To alleviate that challenge, Professor Gerbing developed lessR . LessR extensions remove the need to program. By introducing R through less R, readers... more...

  • Probabilityby Robert P. Dobrow

    Wiley 2013; US$ 135.00

    An introduction to probability at the undergraduate level Chance and randomness are encountered on a daily basis. Authored by a highly qualified professor in the field, Probability: With Applications and R delves into the theories and applications essential to obtaining a thorough understanding of probability. With real-life examples and thoughtful... more...

  • Seamless R and C++ Integration with Rcppby Dirk Eddelbuettel

    Springer 2013; US$ 59.95

    Rcpp is the glue that binds the power and versatility of R with the speed and efficiency of C++.  With Rcpp, the transfer of data between R and C++ is nearly seamless, and high-performance statistical computing is finally accessible to most R users.  Rcpp should be part of every statistician's toolbox.  -- Michael Braun, MIT Sloan School of Management 'Seamless... more...

  • The Essential R Referenceby Mark Gardener

    Wiley 2012; US$ 44.99

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

  • The R Bookby Michael J. Crawley

    Wiley 2012; US$ 100.00

    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...