The Art of R Programming
A Tour of Statistical Software Design
Publisher: No Starch Press
Final Release Date: September 2011
Pages: 400

R is the world's most popular language for developing statistical software: Archaeologists use it to track the spread of ancient civilizations, drug companies use it to discover which medications are safe and effective, and actuaries use it to assess financial risks and keep economies running smoothly.

The Art of R Programming takes you on a guided tour of software development with R, from basic types and data structures to advanced topics like closures, recursion, and anonymous functions. No statistical knowledge is required, and your programming skills can range from hobbyist to pro.

Along the way, you'll learn about functional and object-oriented programming, running mathematical simulations, and rearranging complex data into simpler, more useful formats. You'll also learn to:

  • Create artful graphs to visualize complex data sets and functions
  • Write more efficient code using parallel R and vectorization
  • Interface R with C/C++ and Python for increased speed or functionality
  • Find new R packages for text analysis, image manipulation, and more
  • Squash annoying bugs with advanced debugging techniques

Whether you're designing aircraft, forecasting the weather, or you just need to tame your data, The Art of R Programming is your guide to harnessing the power of statistical computing.

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oreillyThe Art of R Programming
 
5.0

(based on 2 reviews)

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5.0

Code and Data are actually on-line.

By Jim P

from San Francisco Bay Area

About Me Long Time R User

Verified Reviewer

Pros

  • Accurate
  • Easy to understand
  • Helpful examples
  • Well-written

Cons

    Best Uses

    • Expert
    • Intermediate
    • Programmers In Other Lang

    Comments about oreilly The Art of R Programming:

    For prior reviews, see http://nostarch.com/artofr.htm for data & code files.

    I like this book a lot. I always recommend it to programmers wanting to get started with R.

    Norm shows, through examples, the basic concepts any R programmer should know - including the sometimes subtle differences from other languages. He also points common traps and gotchas.

    In the last four chapters, he pulls out the stops covering debugging, performance, interoperability with other languages, and parallel R.

    (2 of 2 customers found this review helpful)

     
    5.0

    How to think in R

    By Alex

    from UK

    About Me Analyst

    Verified Reviewer

    Pros

    • Accurate
    • Concise
    • Easy to understand
    • Helpful examples
    • Well-written

    Cons

      Best Uses

      • Intermediate

      Comments about oreilly The Art of R Programming:

      I have a number of books on R, and have perused a few more. Matloff's book is excellent in that his goal is not to explain the various packages and functions within R. Instead, he teaches you how to think and program effectively within R.

      If you simply want to understand how to run a linear regression, or plot the density of a distribution, then I would recommend 'R Cookbook'. What this text excels at is providing(relatively) challenging examples that represent problems that you may want to solve. Matloff then teaches you how to think this problem through in a way that is optimal for R. He moves through the fundamentals, and introduces programming ideas and functions as necessary at every stage. I would suggest that everyone except the most seasoned R programmers could benefit from the expertise contained in these pages.

      I agree with earlier reviewers that chapter 5 could be improved by including the dataset, but so long as you take the book in the abstract rather than the particular, it does not suffer greatly from this.

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