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R in a Nutshell: A Desktop Quick Reference
 
 
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R in a Nutshell: A Desktop Quick Reference [Paperback]

Joseph Adler (Author)
4.0 out of 5 stars  See all reviews (22 customer reviews)

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Book Description

January 11, 2010 059680170X 978-0596801700 1

Why learn R? Because it's rapidly becoming the standard for developing statistical software. R in a Nutshell provides a quick and practical way to learn this increasingly popular open source language and environment. You'll not only learn how to program in R, but also how to find the right user-contributed R packages for statistical modeling, visualization, and bioinformatics.

The author introduces you to the R environment, including the R graphical user interface and console, and takes you through the fundamentals of the object-oriented R language. Then, through a variety of practical examples from medicine, business, and sports, you'll learn how you can use this remarkable tool to solve your own data analysis problems.

  • Understand the basics of the language, including the nature of R objects
  • Learn how to write R functions and build your own packages
  • Work with data through visualization, statistical analysis, and other methods
  • Explore the wealth of packages contributed by the R community
  • Become familiar with the lattice graphics package for high-level data visualization
  • Learn about bioinformatics packages provided by Bioconductor

"I am excited about this book. R in a Nutshell is a great introduction to R, as well as a comprehensive reference for using R in data analytics and visualization. Adler provides 'real world' examples, practical advice, and scripts, making it accessible to anyone working with data, not just professional statisticians."


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Editorial Reviews

About the Author

Joseph Adler has many years of experience in data mining and data analysis at companies including DoubleClick, American Express, and VeriSign. He graduated from MIT with an Sc.B and M.Eng in Computer Science and Electrical Engineering from MIT. He is the inventor of several patents for computer security and cryptography, and the author of Baseball Hacks. Currently, he is a senior data scientist at LinkedIn.


Product Details

  • Paperback: 636 pages
  • Publisher: O'Reilly Media; 1 edition (January 11, 2010)
  • Language: English
  • ISBN-10: 059680170X
  • ISBN-13: 978-0596801700
  • Product Dimensions: 9 x 6 x 1.2 inches
  • Shipping Weight: 1.6 pounds (View shipping rates and policies)
  • Average Customer Review: 4.0 out of 5 stars  See all reviews (22 customer reviews)
  • Amazon Best Sellers Rank: #28,127 in Books (See Top 100 in Books)

More About the Author

Joseph Adler has many years of experience in data mining and data analysis at companies including DoubleClick, American Express, and VeriSign. He graduated from MIT with an Sc.B. and M.Eng. in computer science and electrical engineering. He is the inventor on several patents for computer security and cryptography. He is currently a data scientist at LinkedIn.

Customer Reviews

Most Helpful Customer Reviews
66 of 67 people found the following review helpful
Format:Paperback|Amazon Verified Purchase
'R in a Nutshell' is the essential introductory book on R. Do not try to learn R without it.

I made two attempts to learn R before purchasing this book. In both previous attempts, I had to abort and use another tool to solve my problem because it was taking me too long to accomplish very simple things in R.

The reason R is hard to learn is that its documentation is organized for statisticians that already know R, but have forgotten a detail or two. There are a few other books on learning R, but they are setup like a college course - complete the entire book and THEN you can actually accomplish something.

R in a Nutshell allows you to get working immediately. Simply lookup what you need to do. The firsts thing I did was load a file and make a histogram. I found that stuff in the section on "Loading Data" and the section on charts. In no time I was making stacked area charts for cohorts. Now R is an essential tool for me - and I haven't even taken the time to learn it well! With this book, I don't have to. I can learn as I go. So I actually use R.

Do not R without it.
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64 of 68 people found the following review helpful
Format:Paperback
Back in school, I was introduced to using SPSS for use in statistical analysis. While I liked SPSS, it was too expensive for me to procure a copy for my own personal use. A friend suggested that I try R. I was a little nervous about R, because being more enthusiastic about than talented with mathematics, and I was most comfortable with a point and click program. So, before I began, I bought "R in a Nutshell" to learn more. I'm glad that I did.

Adler's book begins with a basic tutorial for R and an introduction to R language. It explains how to use R to draw graphs, statistical analysis and even some bio stuff. All I needed to do was to load in my data, draw a couple charts and compute some t tests and chi-squared statistics.

The book was great, multi-faceted as a teaching tool, and - unexpectedly (and atypically for such works) - entertaining to read. I'm looking forward to using R next time I need to fit a regression model, or do factor analysis. The rare mathematics tutorial that will engage academics, financial traders and baseball stat wonks alike. Nice job.
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30 of 32 people found the following review helpful
Format:Paperback
While R, the free statistical computing and graphics software environment and language, is quickly becoming ubiquitous in both academia and the corporate world, many new (especially non-academic) users find its learning curve prohibitively steep. To make matters worse, most documentation is written by and for academic statisticians already relatively familiar with the software, and R's syntax is quite different from most conventional programming languages.

Thanks to Joseph Adler's book, there's finally a comprehensive and definitive resource for the rest of us. The book is divided into five sections: Basics gives you all you need to get up and running; The R Language delves into the details of the language itself; Working with Data addresses such topics as loading, transforming, summarizing, and plotting data; Statistics with R covers statistical tests and modeling; and an Appendix describes the many functions and data sets included with the R base distribution.

R in a Nutshell touches on all of the major R use cases and subject areas, including lattice graphics, regressions, tests of statistical significance, classification, machine learning, time series analysis, and bioinformatic applications.

The book's prose is exceptionally clear, readable, and to-the-point. Each function or feature is presented with a full list of arguments and options, and generously illustrated with numerous examples of code, plots, and graphics. As one expects from the best O'Reilly books, there's hardly a page without code snippets and illustrations.

Personally, one of the sections I've found most useful in my daily use of R is the section on data transformation. R's data structures and how to coerce them into forms appropriate for certain types of analysis have been among my top R-related stumbling blocks. R in a Nutshell has taught me techniques I would never have known existed, and has saved me from writing countless lines of code in attempts to reproduce native but non-obvious functionality.

If you need to use R often, this is a book that will quickly become thoroughly bookmarked, and a permanent fixture on your desk.
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Most Recent Customer Reviews
My first success with R came due to this book.
I printed all the manuals that were available online, and actually worked through a few of them. But, was really at a loss to get a reasonable grasp on the language and concepts... Read more
Published 25 days ago by Ram
Too much reprinting of the reference, not enough high level views
The book is pretty big, but it won't really teach you that much: it feels more like a catalog of the possibilities of R rather than a pedagogical introduction to R. Read more
Published 3 months ago by Franck
Excellent theoretical introduction
I'm still reading the book and didn't reach chapters on data and stats yet, but found it well organized, highly accessible and focused. Read more
Published 3 months ago by Nargis Jumanova
Detailed coverage of many R features
This is a good book that explains in some detail many important R features. "In a nutshell" isn't quite accurate, because it goes into considerable depth. Read more
Published 8 months ago by Nathan Goodman
Programmers vs Novices
If you have programming experience and you want to understand how R works at a fairly deep level this is a wonderful book. Read more
Published 10 months ago by I Teach Typing
Clear, and well written
This book is an introductory guide to the R statistical language. R is of course an increasingly popular open-source program that can handle everything from regression to time... Read more
Published 11 months ago by G. Richards
The more I use it, the less I like it.
This book tries to be all things R to all people - and it comes up short.

First, let me just say that I bought 2 copies of this book practically as soon as it was in... Read more
Published 12 months ago by Greg James (gjames@netguild.com)
Great book, but does not help, as none of them do, with the truly...
This book is the best on R I've read, but it still lacks in teaching the fundamental basic practices of dataset transformation and manipulation. Read more
Published 15 months ago by Michael Wells
Kindle Edition Problems
It's still TBD if this book will teach me what I need to know to be proficient with R. There certainly is a lot of content, but using a reference on a kindle is very difficult,... Read more
Published 15 months ago by Ben W
useless
This book is only for the advanced user. Anyone not willing to write their own functions beware. It is another example of O'Reilly inc. Read more
Published 15 months ago by Dirk Dittmer
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