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  3. A First Course in Statistical Programming with R
  • Cited by 46
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    • Publisher:
      Cambridge University Press
      Publication date:
      June 2012
      December 2007
      ISBN:
      9780511803642
      DOI:
      https://doi.org/10.1017/CBO9780511803642
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      • Subjects:
      Genomics, Bioinformatics and Systems Biology, Life Sciences, Computational Statistics, Machine Learning and Information Science, Statistics and Probability
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    • Selected: Digital
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    Subjects:
    Genomics, Bioinformatics and Systems Biology, Life Sciences, Computational Statistics, Machine Learning and Information Science, Statistics and Probability
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    Book description

    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.

    Reviews

    '… with this book, you can be up and running, doing very advanced work with R in a matter of minutes. Using a series of code examples, the authors take you through many of the basic capabilities of the package. All that is needed to follow the examples is a basic understanding of control constructs such as the if-then, loops and functions as well as knowledge of the underlying mathematics.'

    Charles Ashbacher Source: Journal of Recreational Mathematics

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