A First Course in Statistical Programming with R

Nonfiction, Computers, Advanced Computing, Natural Language Processing, Science & Nature, Mathematics, Statistics
Cover of the book A First Course in Statistical Programming with R by W. John Braun, Duncan J.  Murdoch, Cambridge University Press
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Author: W. John Braun, Duncan J. Murdoch ISBN: 9781316099605
Publisher: Cambridge University Press Publication: December 13, 2007
Imprint: Cambridge University Press Language: English
Author: W. John Braun, Duncan J. Murdoch
ISBN: 9781316099605
Publisher: Cambridge University Press
Publication: December 13, 2007
Imprint: Cambridge University Press
Language: English

This is the only introduction you'll need to start programming in R, the open-source language that is free to download, and lets you adapt the source code for your own requirements. Co-written by one of the R Core Development Team, and by an established R author, this book comes with real R code that complies with the standards of the language. Unlike other introductory books on the ground-breaking R system, this book emphasizes programming, including the principles that apply to most computing languages, and techniques used to develop more complex projects. Learning the language is made easier by the frequent exercises and end-of-chapter reviews that help you progress confidently through the book. Solutions, datasets and any errata will be available from the book's web site. The many examples, all from real applications, make it particularly useful for anyone working in practical data analysis.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

This is the only introduction you'll need to start programming in R, the open-source language that is free to download, and lets you adapt the source code for your own requirements. Co-written by one of the R Core Development Team, and by an established R author, this book comes with real R code that complies with the standards of the language. Unlike other introductory books on the ground-breaking R system, this book emphasizes programming, including the principles that apply to most computing languages, and techniques used to develop more complex projects. Learning the language is made easier by the frequent exercises and end-of-chapter reviews that help you progress confidently through the book. Solutions, datasets and any errata will be available from the book's web site. The many examples, all from real applications, make it particularly useful for anyone working in practical data analysis.

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