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Joseph Adler

R in a Nutshell: A Desktop Quick Reference (In a Nutshell (O'Reilly)) Second Edition

by Joseph Adler (Author)

46 ratings

Part of: In a Nutshell (O'Reilly) (32 books)

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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

ISBN-10

144931208X
ISBN-13

978-1449312084
Edition

Second
Publisher

O'Reilly Media
Publication date

October 30, 2012
Language

English
Dimensions

6 x 1.52 x 9 inches
Print length

724 pages
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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.

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Product details

Publisher ‏ : ‎ O'Reilly Media; Second edition (October 30, 2012)
Language ‏ : ‎ English
Paperback ‏ : ‎ 724 pages
ISBN-10 ‏ : ‎ 144931208X
ISBN-13 ‏ : ‎ 978-1449312084
Item Weight ‏ : ‎ 2.05 pounds
Dimensions ‏ : ‎ 6 x 1.52 x 9 inches

Best Sellers Rank: #1,008,456 in Books (See Top 100 in Books)
- #185 in Computer Simulation (Books)
- #204 in Information Theory
- #210 in Bioinformatics (Books)

Customer Reviews:
46 ratings

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Joseph Adler

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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.

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4 star		22%
3 star		7%
2 star		4%
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Kindle Customer

Solid book, covers broad areas, maybe too much on programming

Reviewed in the United States on May 17, 2013

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I bought the 1st edition and this one is just as good. Generally he uses straightforward examples and provides enough detail to "make it work." So, for example, with just a few pages of reading I can understand how to technically get decision trees to work in R. For the general reader I think Adler spends way too much time on object programming concepts and the behind the scenes structure of R. It would be nice to have time for theoretical detours like he uses but for those of us who are busy and in the commercial world, such material should be relegated to an appendix. I really don't care how R does it, in the same sense that I do not car how my car optimizes its gas/air ratio -- I just want it to go.

That being said, Adler's range of knowledge is astounding and I certainly trust what he says. With just a slight tweak to meet the needs of his less academic readers, the book would be perfect.

2 people found this helpful

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The Shadow Knows

wait for the errata to fill in before buying

Reviewed in the United States on January 25, 2013

Verified Purchase

Before buying, look at the book description at the publisher's website (oreilly.com) and click on the "errata" link. Check to see how long that list is. If you can live with cross-referencing this list with the book, then buy it. Otherwise, there are probably better books out there.

As it is, I am somewhat proficient in R and bought this book as a crash course for a better understanding of the basics, especially the graphics and statistics. After barrelling through roughly half of the book, I found many references to functions or parameters which were never explained or were explained later in the book (without saying so at the first reference). For someone who is hoping for a quick read through most of what R has to offer, this is like hitting a brick wall.

The book helps the reader understand a lot of what R is capable of, but it seems to be done in a more slip-shod manner than I was hoping for. I get the feeling the author was rushed in getting this to print. Or, they didn't pay the editor enough.

As an aside, the formatting for the kindle edition has been working pretty well. I've actually been reading it on the cloud reader without problems (be sure to download a local copy for offline reading).

53 people found this helpful

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Andrew D. Matuszak

Good Reference Book

Reviewed in the United States on May 10, 2013

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This is a solid reference manual that warrants a place on your desk if you regularly use R for business analytics. My chief complaint is that the index is very slim. If you've read through the book and remember seeing a particular topic but don't remember where it was exactly, the index can be frustrating because it isn't very thorough.

As far as content, it covers most of the basics although its ggplot section is too basic (R Graphics Cookbook is a good alternative if you are looking for specific plotting help).

I'd recommend getting both the hard copy and the ebook (only around $5 dollars through Oreilly's site if you've purchased the hard-copy).

One person found this helpful

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Not a tutorial or the encyclopedia one would expect

Reviewed in the United States on December 24, 2013

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This book is the second that I purchased this past year to get up to speed on the R language and environment, along with "R in Action" and "R Graphics Cookbook" (see my reviews), but unlike these other two, I fully expected this book to serve as a reference rather than a tutorial, based on my experience with "UNIX in a Nutshell" many years ago. However, through my experience I was quickly made aware of the breadth of the R language, which includes over 2500 packages that have become available to the community, and I have instead typically used this book as a starting point for additional research on websites which cater to the R community, including CRAN ("Comprehensive R Archive Network").

Even given its near 700-page size, it is difficult for any book to cover R extensively, so I credit this book to continue to provide pointers in the right direction as I gain experience using the language. While "R in Action" in its introductory chapters gets one up and running with R more gracefully, chapter 1 ("Getting and Installing R") and chapter 2 ("The R User Interface") in this book also provide a glimpse into the many options available with regard to environments. The closest that one will get with a tutorial in this book is the 18-page chapter 3 ("A Short R Tutorial"), but this chapter should really only be considered a way to wet one's appetite with regard to basic operations, functions, variables, data structures, objects and classes, models and formulas, and charts and graphics, as chapters 5 through 10 go over these topics more extensively.

Chapter 11 ("Saving, Loading, and Editing Data") along with Chapter 12 ("Preparing Data") provide useful information on working with data, because, like it or not, as with any language most data work revolves around first getting it into the correct format, but although these chapters present more available options in this area than "R in Action", these chapters also again read more like an encyclopedia and do not provide any guidance, because as is the case with most of this text, readers are likely best served when they have a decent idea of what they are looking to accomplish.

Most of my use of this book has involved Part 4 ("Data Visualization"), Part 5 ("Statistics with R"), and Part 6 ("Additional Topics"). After experimenting with the packages included with R by default, it is Chapter 15 ("ggplot2") which led me to purchase "R Graphics Cookbook", a well recommended book to learn the ggplot2 package, but it is the other chapters within this part of the book that made me realize that although the ggplot2 package provides standardization that is often lacking with R, no single package is likely to ever serve the needs of a developer, at least over time. Recommended text for those in the earlier stages of using the R language and environment and still finding their way, but not for the neophyte, as this book is not a tutorial, nor is it the encyclopedia one would expect from the "In a Nutshell" series.

11 people found this helpful

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AAJN

It's pretty good. My first experience with a nutshell book

Reviewed in the United States on December 16, 2014

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It's pretty good. My first experience with a nutshell book, but I can't help thinking a bit more than reciting the man pages would be helpful. For example if you find the man page confusing, this won't help.

Reviewed in the United States on July 11, 2021

Verified Purchase

released almost 10 years ago in 2012. still very useful. hopefully a third edition comes out .

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Todds Books

Not a "Desktop Quick Reference" like other Nutshell books

Reviewed in the United States on September 29, 2013

Verified Purchase

I bought this book based upon my experience with other O'Reilly "in a nutshell" books. The one on Linux is excellent. In other words, I am expecting an encyclopedic reference book. This book is much too tutorial in style to make a good reference book. But even so, I could deal with it if I could find the information I am looking for. The index is about 300% smaller than it should be, especially for a 700 page book. Lastly, towards the end the author includes an R Reference section - about 125 pages. However, commands, methods, et al do not contain any examples or do they reference the reader back into the text somewhere to see the syntax. It is this section that the author should have started with and expanded with syntax and short examples. Then it would indeed be a good reference book for R.

5 people found this helpful

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Massimiliano Volpi

A very good book for an (in depth) introduction to R and ...

Reviewed in the United Kingdom on June 25, 2018

Verified Purchase

A very good book for an (in depth) introduction to R and to keep as a reference.
I would consider this book a must have for anyone intending to use R.
However, if you are looking for an introduction only, you might want to start with "Learning R" (same publisher) as the latter also provides exercises.

Nourah Alsheridah

excellent for a first start if you already understand statistics

Reviewed in the United Kingdom on April 26, 2019

Verified Purchase

The book was new never used and very very useful to start learning with R and to keep it as a reference for R codes

Mukund Jha

My first R book :)

Reviewed in Germany on October 14, 2021

Verified Purchase

I bought it 5 years ago, this was my first introduction to R programming. Today, I have come far and I can write packages in R. Overall, I like this book but it will be great if they can introduce readers to the packages like data.table and tidyverse framework in more detail.

Arnaud

Extrêmement pratique pour les débutants

Reviewed in France on January 30, 2014

Verified Purchase

C'est une bible que les débutants en R pourront emmener avec eux sans problème. Tous les problèmes de base sont abordés de la gestion des données aux premières exploitations graphiques.
Évidemment si vous cherchez des infos sur des modèles statistiques précis peu de choses dans ce livre (les quelques chapitres économétrie sont très faibles).
Mais cette bible est souvent avec moi comme pense-bête.

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Barbara Ulitsky

good textbook for beginners

Reviewed in Canada on June 18, 2015

Verified Purchase

This is a good textbook for beginners who want to study R. It's easy to follow and has lots of examples.

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