Brightsurf Science News and Current Science News Events
 

View Larger Image

R Graphics (Computer Science and Data Analysis)


by Paul Murrell

List Price: $79.95
Price: $63.96
You Save: $15.99 (20%)
Available: Usually ships in 24 hours
Sales Rank: 85131
Studio: Chapman & Hall/CRC
Binding: Hardcover
Number Of Pages: 328
Publication Date: July 29, 2005
Publisher: Chapman & Hall/CRC


ACCESSORIES

Linear Models with R (Texts in Statistical Science)
by Julian J. Faraway

A Handbook of Statistical Analyses Using R
by Brian S. Everitt, Torsten Hothorn

Using R for Introductory Statistics
by John Verzani



EDITORIAL REVIEWS

Product Description
R is revolutionizing the world of statistical computing. Powerful, flexible, and best of all free, R is now the program of choice for tens of thousands of statisticians. Destined to become an instant classic, R Graphics presents the first complete, authoritative exposition on the R graphical system. Paul Murrell, widely known as the leading expert on R graphics, has developed an in-depth resource that takes nothing for granted and helps both neophyte and seasoned users master the intricacies of R graphics. After an introductory overview of R graphics facilities, the presentation first focuses on the traditional graphics system, showing how to work the traditional functions, describing functions that are available to produce complete plots, and how to customize the details of plots. The second part of the book describes the grid graphics system - a system unique to R and much more powerful than the traditional system. The author, who was integral in the development of the grid system, shows, starting from a blank page, how it can be used to produce graphical scenes. He also describes how to develop new graphical functions that are easy for others to use and build on. Appendices contain a brief introduction to the R system in general and discuss how the traditional and grid graphics systems can be combined. Much of the information presented in this book cannot be found anywhere else. Well ahead of the curve, particularly regarding the grid system, R Graphics will have a major impact on the future direction of statistical graphics development.


CUSTOMER REVIEWS (Average Customer Rating: 4.0 based on 5 reviews)

Not for a Beginner  
I am new to R and needed to create a particular style of heat map for a project. I spent 3 weeks studying this book's table of contents, sample chapter, examples on the author's website, etc. until the day came when I needed prepare my presentation. So I went ahead and bought the book. It was not what I needed and, in fact, I have not found it useful in the 2 months that I have owned it. Before the book even arrived I discovered the R Graph Gallery ([...]), which has a heat map that met my needs. My advice to those who are beginning to learn R is to be patient and use the many free, high-quality resources available on the internet for perhaps up to a year before starting to buy books.
May 10, 2008

Not a how-to or cookbook for R graphics  
The book provides a good introduction to the R graphics system and gives a very good presentation of the kinds of graphs you can generate using R. This book is definitely not a how-to or cookbook for R graphics though. The book assumes the reader is already familiar with R and the graphics related commands, so there's not much explanation of the short code snippets that go along with the figures. If you're new to R, this book won't show you how to create graphs. It will show you the graphing capabilities of R though and possibly get you interested enough to keep using R.

If you do know R, what this book *will* show you is how to do more complex things with R graphics. Half the book covers the traditional graphics model, while the other half covers the Grid and Trellis graphics models. This will be the interesting part of the book because Grid and Trellis look like they let users create really neat graphs and data representations with R.

I would have liked to see some more complete examples in the book, but at least there's an accompanying website that contains all the code used to generate the graphs and errata for the book. This would be a good addition to an R user's bookshelf.
April 11, 2007

Must-have for learning of R graphics  
It is a book which systematically introduces the traditional and grid system of R graphics. I can find almost every details I want in the past two months after I got the book. Before I read the book, I have been working with R for more than 3 years, but never be very clear to view the structure of R graphics. Thanks to Dr. Paul Murrell, I am much more confident with my knowledge in this area. By the way, he has kindly helped me by email to solve several layout()problems.
November 10, 2006

Solid reference book for a wide audience  
Unleashing the power of R, particularly its graphing capabilities can be a daunting task. This is a well written book that covers all aspects of R graphics and gives plently of examples (with code). After using R for nearly 3 years now, I learned quite a bit of new information. Plus, the last 2 chapters of the book are very advanced and will likely require another 3 years before I can actually fully use them. Regardless, this a great book for people new and old to R.
August 10, 2006

A seminal work  
Having read material by Dr. Murrell in R news and other places, I was expecting a great book. I was not disappointed. This is the clearest and most complete explanation of graphics in R that I have seen.

It's in 2 parts (or maybe 2 1/2). The first deals with the 'traditional' graphics system, the second with the Grid graphics system. Also included is an discussion of the Lattice package (that's the 1/2), and various other packages.

My only caveat is that you will probably want to be at least a little familiar with R before using this book. There's a brief introduction to R in an appendix, but it isn't, and doesn't pretend to be, comprehensive. However, there are extensive references to material that can help the novice learn more about R.

In my opinion, R is the best program for statistical graphics, and this is the best book on how to get the most out of it.
September 05, 2005


SIMILAR PRODUCTS

A Handbook of Statistical Analyses Using R
by Brian S. Everitt, Torsten Hothorn

The R Book
by Michael J. Crawley

Data Analysis and Graphics Using R: An Example-based Approach (Cambridge Series in Statistical and Probabilistic Mathematics)
by John Maindonald, John Braun

Introductory Statistics with R
by Peter Dalgaard

Data Analysis Using Regression and Multilevel/Hierarchical Models
by Andrew Gelman, Jennifer Hill

© 2008 BrightSurf.com