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

By: Braun, John WContributor(s): Murdoch, Duncan JamesPublisher: New York: Cambridge University Press, 2016Edition: 2nd edDescription: xiv, 215 pISBN: 9781107576469Subject(s): R (Computer program language) | StatisticsDDC classification: 519.502 855 133 Online resources: Click here to access online | Click here to access online | Click here to access online 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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519.502 855 133 Q5 Learning statistics using R / 519.502 855 133 Q51 Advanced R / 519.502 855 133 Q52 Data science in R : 519.502 855 133 Q6 A first course in statistical programming with R / 519.502 855 133 Q7 R for beginners/ 519.502 855 3 Q7 An introduction to secondary data analysis with IBM SPSS statistics / 519.502 855 54 Q4 Statistics for managers using Microsoft Excel /

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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