R in a Nutshell, 2nd Edition
Publisher: O'Reilly Media
Final Release Date: September 2012
Pages: 724

If you’re considering R for statistical computing and data visualization, this book provides a quick and practical guide to just about everything you can do with the open source R language and software environment. You’ll learn how to write R functions and use R packages to help you prepare, visualize, and analyze data. Author Joseph Adler illustrates each process with a wealth of examples from medicine, business, and sports.

Updated for R 2.14 and 2.15, this second edition includes new and expanded chapters on R performance, the ggplot2 data visualization package, and parallel R computing with Hadoop.

  • Get started quickly with an R tutorial and hundreds of examples
  • Explore R syntax, objects, and other language details
  • Find thousands of user-contributed R packages online, including Bioconductor
  • Learn how to use R to prepare data for analysis
  • Visualize your data with R’s graphics, lattice, and ggplot2 packages
  • Use R to calculate statistical fests, fit models, and compute probability distributions
  • Speed up intensive computations by writing parallel R programs for Hadoop
  • Get a complete desktop reference to R
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oreillyR in a Nutshell, 2nd Edition
 
4.6

(based on 7 reviews)

Ratings Distribution

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100%

of respondents would recommend this to a friend.

Pros

  • Accurate (5)
  • Helpful examples (5)
  • Well-written (4)
  • Concise (3)
  • Easy to understand (3)

Cons

    Best Uses

    • Intermediate (5)
    • Novice (5)
    • Student (4)

    Reviewed by 7 customers

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    (1 of 1 customers found this review helpful)

     
    5.0

    Just what I was looking for

    By Saskcan

    from Madrid, Spain

    About Me Developer

    Verified Buyer

    Pros

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

    Cons

      Best Uses

      • Intermediate

      Comments about oreilly R in a Nutshell, 2nd Edition:

      I wanted to learn R after taking an online course in portfolio theory. This book has an excellent example showing how to parse data from Yahoo! finance which fit my needs perfectly. Besides that point, the book provides many useful examples and is rich in detail to really explain what is going on beneath the surface. I picked the ebook up at a discount and can't find anything to complain about. Great as a reference or a learning companion. One very minor drawback is some slight inconsistencies in the R programming style (spaces, etc) but they have absolutely no effect on either the reading or the coded examples.

       
      5.0

      Solid Book

      By Cusala

      from New York, NY

      About Me Educator

      Verified Buyer

      Pros

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

      Cons

        Best Uses

        • Intermediate
        • Novice
        • Student

        Comments about oreilly R in a Nutshell, 2nd Edition:

        Helpful for both learning R from scratch or refreshing a specific area of interest.

         
        4.0

        Book review: R in a Nutshell

        By Paras

        from Atlanta

        Verified Reviewer

        Pros

        • Helpful examples

        Cons

          Best Uses

          • Intermediate
          • Novice

          Comments about oreilly R in a Nutshell, 2nd Edition:

          Book Review: R in a Nutshell
          R is a popular tool among data scientists because it's just like a Swiss Army knife (or may be more!) for them!

          Analogy credit: Tapping the Data Deluge with R by Jeffrey Breen (Presentation URL: http://www.slideshare.net/jeffreybreen/tapping-the-data-deluge-with-r)

          Sometime back I worked on a research project that involved writing some R code – we were searching for tools ways to pull data from multiple social networks, perform text analysis and create effective data visualizations. R seemed like a great tool & so I was searching for a book/guides that teaches me fundamentals I needed to know to get few R related things done. One of the books that I used frequently during the research project was "R in nutshell". I didn't read it cover-to-cover but it was a great reference book for me. I used to read guides online/other-books and then I used to combine information from this book to get stuff done. The section I liked the most was on Data visualization which included some great code snippets to create effective data visualization using ggplot2 library. I used to take code snippets from this book & apply it on data-sets that I had. Fun stuff!

          Also, I liked it that the book has some end-to-end examples that cover the entire lifecycle of data analysis/statistical-analysis.

          Summary:
          I recommend this book as a "reference" for someone who started working with R.

          Note: I received a copy of this book as part of OREILLY's Blogger program. Thanks OREILLY! If you are a blogger, you should check out that program!

          (1 of 1 customers found this review helpful)

           
          4.0

          Great way to get acquainted with R

          By Roy

          from Cary, NC

          Verified Reviewer

          Comments about oreilly R in a Nutshell, 2nd Edition:

          Being a reference book, I haven't read it cover-to-cover, but after working through the first few parts and several of the later chapters, I can say that the book does a great job of getting you up to speed on how to read the R language, how R organizes and works with datasets, and how to perform analyses and generate visuals.

          I should caution upfront that this book is specifically about how to operate R, and not about statistics in general. R will dutifully carry out the calculations asked of it, but the operator still needs to know which calculations are appropriate for the data and goals at hand.

          That said, R in a Nutshell is well-organized for first-time users of R. The book starts with an overview of the R syntax, data frames, and functions, then moves to the logistics of getting data into and out of R. Often another language will be used to format and prepare the data for analysis (to get an idea of how that process works, O'Reilly's Exploring Everyday Things with R and Ruby is a good place to start).

          There's also an entire section dedicated to one of R's specialties, data visualization! The book covers the built-in visualization tools, as well as popular ggplot2 package. Creating compelling visuals is easily one of the most exciting things about R, so it's good to see this thoroughly covered. Finally, the book has many chapters covering the various statistics and analyses R can perform.

          In short, it's easy to recommend R in a Nutshell. R is by far the most popular free statistics package, but its command-line format can lead to lots of web searches to track down documentation. This book organizes a lot of that basic information and presents it well, so it is sure to be a big time saver for anyone who is new to R or would just like an easily-searchable reference.

          Note: I received this book through the O'Reilly Blogger Review Program.

          (3 of 3 customers found this review helpful)

           
          4.0

          Decent introduction to R

          By mko

          from Poland

          Verified Reviewer

          Pros

          • Accurate
          • Concise
          • Easy to understand

          Cons

            Best Uses

            • Novice
            • Student

            Comments about oreilly R in a Nutshell, 2nd Edition:

            I have bought R in a Nutshell some time ago (1-st edition) and I was pleased with it. It is very decent introduction to R. I am using R casually for doing server logs analysis, mostly. And from my point of view, a person who doesn't speak R fluently, this book is very handy. I have requested 2-nd edition mostly from the mere curiosity. I wanted to know how book have changed.

            You will find few minor shifts here, some chapters were moved and some of them were split or merged. However, the content remained quality remained at the same level. Book covers most recent release of R (at least when it comes to Mac OS, I can't tell for the other systems). There are few new things I have learned. RStudio and ggplot2 are among them. As I said, I don't follow all the recent news in the "R world" thus, reading about these two was a big surprise for me and big plus for my simple tasks done with R.

            I would recommend this book for R newbies. If you have never ever worked with R but looking to start your journey with it this is a good start. Contrary, if you have already done some stuff with R and you are looking for straightforward solutions I'd suggest heading towards R Cookbook. Anyway, I think this book is a really decent introduction to R.

            (1 of 1 customers found this review helpful)

             
            5.0

            Good reference on R Programming

            By Jaype

            from Kenosha WI

            About Me Database Administrator

            Verified Reviewer

            Pros

            • Accurate
            • Helpful examples
            • Well-written

            Cons

              Best Uses

              • Intermediate
              • Novice
              • Reference
              • Student

              Comments about oreilly R in a Nutshell, 2nd Edition:

              I'm new to statistical modeling and R programming but I found this book to be a good place to learn R. I'll be using it more as I learn more about statistics. It's well written with easy to follow examples. Since I'm just learning R the chapters on syntax and expressions and the large appendix on R functions are the most helpful to me. The data visualization chapters are the interesting but I'm not quite ready for that yet.

              This is a good book if you want a reference for R.

              (2 of 2 customers found this review helpful)

               
              5.0

              More than a "quick" reference book.

              By produke

              from madrid, spain

              About Me Developer

              Verified Reviewer

              Pros

              • Accurate
              • Helpful examples
              • Well-written

              Cons

                Best Uses

                • Expert
                • Intermediate
                • Novice
                • Student

                Comments about oreilly R in a Nutshell, 2nd Edition:

                'R in a Nutshell' is suppose to be a reference book but is more than that! The author, J. Adler, with this second edition, refresh the first one with Hadoop ecosystem and how it integrates well with R. R in a Nutshell allows you to get working immediately. Full of example and guidelines. A 700 pages reference book for coding and learning this statistician language for parsing and visualizing data. There are a lot of information on where getting the data and how tackle the visualization, important part for decoding and analysing many data of multidimensional space. I recommended to everyone who have intereste in learning R, discovering new BigData related feature with Hadoop and as a reference book for more advance users.

                Link to the book shop here: R in Nutshell, 2nd Edition

                Note: This book review is in exchange of the O'Reilly Blogger Review Program (http://oreilly.com/bloggers/)

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