ggplot2: Elegant Graphics for Data Analysis (Use R)
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Product Description
Product Description
Provides both rich theory and powerful applications Figures are accompanied by code required to produce them Full color figures
From the Back Cover
This book describes ggplot2, a new data visualization package for R that uses the insights from Leland Wilkison's Grammar of Graphics to create a powerful and flexible system for creating data graphics. With ggplot2, it's easy to: produce handsome, publication-quality plots, with automatic legends created from the plot specification superpose multiple layers (points, lines, maps, tiles, box plots to name a few) from different data sources, with automatically adjusted common scales add customisable smoothers that use the powerful modelling capabilities of R, such as loess, linear models, generalised additive models and robust regression save any ggplot2 plot (or part thereof) for later modification or reuse create custom themes that capture in-house or journal style requirements, and that can easily be applied to multiple plots approach your graph from a visual perspective, thinking about how each component of the data is represented on the final plot This book will be useful to everyone who has struggled with displaying their data in an informative and attractive way. You will need some basic knowledge of R (i.e. you should be able to get your data into R), but ggplot2 is a mini-language specifically tailored for producing graphics, and you'll learn everything you need in the book. After reading this book you'll be able to produce graphics customized precisely for your problems, and you'll find it easy to get graphics out of your head and on to the screen or page. Hadley Wickham is an Assistant Professor of Statistics at Rice University, and is interested in developing computational and cognitive tools for making data preparation, visualization, and analysis easier. He has developed 15 R packages and in 2006 he won the John Chambers Award for Statistical Computing for his work on the ggplot and reshape R packages.
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Most Helpful Customer Reviews
3 of 3 people found the following review helpful:
4.0 out of 5 stars
Great book for a great R Package,
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This review is from: ggplot2: Elegant Graphics for Data Analysis (Use R!) (Paperback)
First off, ggplot2 is an amazing package. If you want to create a graph that just makes sense with minimal fuss (for R anyway) then use this package.
This book is a great introduction with lots of examples and some of the pages even have color (which may explain the relatively high cost). The book complements and adds to the available online materials (had.co.nz and ggplot2 google group). I knocked it down a star because I wish there had been more examples of the more detailed features that Hadley has hidden away in the package. Since publication, he has worked very hard on the package and added features and fixed old ones. I wish that this was an online publication or PDF so that it was searchable and updateable. A wiki wouldn't be a bad idea. That being said, I find that I best concentrate on things that are printed in front of me.
1 of 1 people found the following review helpful:
5.0 out of 5 stars
Amazing graphics for R,
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This review is from: ggplot2: Elegant Graphics for Data Analysis (Use R!) (Paperback)
The graphics that come with the R language are OK, but not great. If you want great graphics you need to get to grips with the Lattice package and also Hadley Wickham's ggplot2. ggplot2 tries to make the production of superb-looking graphics very simple, by good use of defaults and a logical, consistent approach he calls a 'grammar' of graphics. It workss: it produces great graphics in a few simple commands.
5 of 6 people found the following review helpful:
4.0 out of 5 stars
Introduces nice graphics package for R programmers,
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This review is from: ggplot2: Elegant Graphics for Data Analysis (Use R!) (Paperback)
If you want more flexibility to create your own graphs, and are familiar with the R programming language, this is a good choice.
I am still a novice at R, and so struggled a bit. For instance, you have to load various datasets, and I had to go back to my manuals to remind myself of commands such as require and data, as it was just assumed that you'd know what to do. At one point I was puzzled by reference to a variable 'presidential' which had not been defined, only to find it comes with R. Having said that, there were lots of useful worked examples that gave practical demonstrations of how the ggplot2 commands work. Also, in fairness, the introduction does say that it assumes some basic familiarity with R. Nevertheless, I felt it would have been good to have been given the commands to ensure you had the relevant data available for the first example - it was a bit offputting to be groping for information at such an early point. This is a common problem, I find: books like this would always benefit from more field trials with the more ignorant end of the intended market to iron out potential points of confusion and broaden the readership(happy to volunteer myself for this role for any future books like this!) The possibilities for creating graphs are fantastic. You have to learn some 'grammar of graphs', i.e. syntax, in order to get the most out of the package, but, as one who values clear and distinctive presentations of data and has to prepare figures for publication, I think it will be well worth the effort - and will also encourage me in an ongoing process of migrating from other software to R for my statistical analysis. In effect you can store scripts to create customised figures and then easily substitute new data or make other modifications. Better still, you don't have to precompute the statistics you want to plot - they can be derived as part of the plotting syntax. Compared with Matlab it seems more precise and easy to use (once you know the syntax), though it does not do 3D plots or dynamic plots. Anyone who has tried to place a caption or label in a specific position on a matlab subplot will enjoy the relative simplicity of qqplot2 commands. In sum, the authors are to be congratulated on their excellent software, which I think deserves 5*. This manual doesn't quite make the 5* for this reader, but is nevertheless is very helpful in getting me up and running to use the software.
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