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A first course in statistical programming with R / W. John Braun and Duncan J. Murdoch.

By: Contributor(s): Publication details: New York: Cambridge University Press, 2016.Edition: 2nd edDescription: xiv, 215 pISBN:
  • 9781107576469
Subject(s): DDC classification:
  • 519.502 855 133 Q6
Online resources: Summary: This new color edition of Braun and Murdoch's bestselling textbook integrates use of the R Studio platform and adds discussion of newer graphics systems, extensive exploration of Markov chain Monte Carlo, expert advice on common error messages, motivating applications of matrix decompositions, and numerous new examples and exercises. This is the only introduction needed to start programming in R, the computing standard for analyzing data. Co-written by an R core team member and 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 R system, this book emphasizes programming, including the principles that apply to most computing languages, and techniques used to develop more complex projects. Solutions, datasets, and any errata are available from the book's website. The many examples, all from real applications, make it particularly useful for anyone working in practical data analysis--
List(s) this item appears in: New Additions March-April 2019
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Holdings
Item type Current library Call number Status Date due Barcode Item holds
Books Books Mahatma Gandhi University Library General Stacks 519.502 855 133 Q6 (Browse shelf(Opens below)) Available 59400
Total holds: 0

Includes index.

This new color edition of Braun and Murdoch's bestselling textbook integrates use of the R Studio platform and adds discussion of newer graphics systems, extensive exploration of Markov chain Monte Carlo, expert advice on common error messages, motivating applications of matrix decompositions, and numerous new examples and exercises. This is the only introduction needed to start programming in R, the computing standard for analyzing data. Co-written by an R core team member and 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 R system, this book emphasizes programming, including the principles that apply to most computing languages, and techniques used to develop more complex projects. Solutions, datasets, and any errata are available from the book's website. The many examples, all from real applications, make it particularly useful for anyone working in practical data analysis--

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