Extensively updated to reflect the evolution of statistics and computing, the second edition of the bestselling R Graphics comes complete with new packages and new examples. Paul Murrell, widely known as the leading expert on R graphics, has developed an in-depth resource that helps both neophyte and seasoned users master the intricacies of R graphics.
New in the Second Edition
Updated information on the core graphics engine, the traditional graphics system, the grid graphics system, and the lattice package A new chapter on the ggplot2 package New chapters on applications and extensions of R Graphics, including geographic maps, dynamic and interactive graphics, and node-and-edge graphs
Organized into five parts, R Graphics covers both "traditional" and newer, R-specific graphics systems. The book reviews the graphics facilities of the R language and describes R s powerful grid graphics system. It then covers the graphics engine, which represents a common set of fundamental graphics facilities, and provides a series of brief overviews of the major areas of application for R graphics and the major extensions of R graphics.
a lot of insihgts for those of us who need to know R's internals and want a companion to the source.
Also worth a glance by anyone who works with grobs (quantmod users).
Finally, if you're thinking of writing your own plotting software (say you want to add histograms or function plotting to idris or some other new language), the R team has put a _lot_ of work and thought into their graphics library. There might not be a better book to give yourself ideas for that kind of job.
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.
I don't think I could recommend this to an R novice (Appendix A, "A Brief Introduction to R," does seem reasonable for a beginner but I'm not sure about the rest)... but it's a well-explained and thorough resource for someone with solid R experience already. It helped me solidify some concepts about R graphics and pointed out features of which I hadn't been aware. I'll be coming back to this when I need a refresher on plotting regions, layout, data symbols, etc. The "par" cheatsheets on p.51 and 53 are great. And if you want to extend R using grid graphics, this is the place to start.
Useful book for getting into the fairly complex graphical system of the R Statistical Programming Environment. Definitely not a bed time read. Or, maybe, a great bed time read. Absolutely one for the true science wonk.