Winston Chang - R Graphics Cookbook
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- Book:R Graphics Cookbook
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R Graphics Cookbook: summary, description and annotation
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This practical guide provides more than 150 recipes to help you generate high-quality graphs quickly, without having to comb through all the details of Rs graphing systems. Each recipe tackles a specific problem with a solution you can apply to your own project, and includes a discussion of how and why the recipe works.
Most of the recipes use the ggplot2 package, a powerful and flexible way to make graphs in R. If you have a basic understanding of the R language, youre ready to get started.
Winston Chang: author's other books
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All code files or examples referenced in the book will be available online. For physical books that ship with an accompanying disc, whenever possible, weve posted all CD/DVD content. Note that while we provide as much of the media content as we are able via free download, we are sometimes limited by licensing restrictions. Please direct any questions or concerns to .
I started using R several years ago to analyze data I had collected for my research in graduate school. My motivation at first was to escape from the restrictive environments and canned analyses offered by statistical programs like SPSS. And even better, because its freely available, I didnt need to convince someone to buy me a copy of the softwarevery important for a poor graduate student! As I delved deeper into R, I discovered that it could also create excellent data graphics.
Each recipe in this book lists a problem and a solution. In most cases, the solutions I offer arent the only way to do things in R, but they are, in my opinion, the best way. One of the reasons for Rs popularity is that there are many available add-on packages, each of which provides some functionality for R. There are many packages for visualizing data in R, but this book primarily uses ggplot2. (Disclaimer: its now part of my job to do development on ggplot2. However, I wrote much of this book before I had any idea that I would start a job related to ggplot2.)
This book isnt meant to be a comprehensive manual of all the different ways of creating data visualizations in R, but hopefully it will help you figure out how to make the graphics you have in mind. Or, if youre not sure what you want to make, browsing its pages may give you some ideas about whats possible.
This book is intended for readers who have at least a basic understanding of R. The recipes in this book will show you how to do specific tasks. Ive tried to use examples that are simple, so that you can understand how they work and transfer the solutions over to your own problems.
Most of the recipes here use the ggplot2 graphing package. Some of the recipes require the most recent version of ggplot2, 0.9.3, and this in turn requires a relatively recent version of R. You can always get the latest version of R from the main R project site.
If you are not familiar with ggplot2, see for a brief introduction to the package.
Once youve installed R, you can install the necessary packages. In addition to ggplot2, youll also want to install the gcookbook package, which contains data sets for many of the examples in this book. To install them both, run:
install.packages("ggplot2")install.packages("gcookbook")You may be asked to choose a mirror site for CRAN, the Comprehensive R Archive Network. Any of the sites should work, but its a good idea to choose one close to you because it will likely be faster than one far away. Once youve installed the packages, run this in each R session in which you want to use ggplot2:
library(ggplot2)The recipes in this book will assume that youve already loaded ggplot2, so they wont show this line.
If you see an error like this, it means that you forgot to load ggplot2:
Error: could not find function "ggplot"The major platforms for R are Mac OS X, Linux, and Windows, and all the recipes in this book should work on all of these platforms. There are some platform-specific differences when it comes to creating bitmap output files, and these differences are covered in .
The following typographical conventions are used in this book:
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This book is here to help you get your job done. In general, you may use the code in this book in your programs and documentation. You do not need to contact us for permission unless youre reproducing a significant portion of the code. For example, writing a program that uses several chunks of code from this book does not require permission. Selling or distributing a CD-ROM of examples from OReilly books does require permission. Answering a question by citing this book and quoting example code does not require permission. Incorporating a significant amount of example code from this book into your products documentation does require permission.
We appreciate, but do not require, attribution. An attribution usually includes the title, author, publisher, and ISBN. For example: R Graphics Cookbook by Winston Chang (OReilly). Copyright 2013 Winston Chang, 978-1-449-31695-2.
If you feel your use of code examples falls outside fair use or the permission given above, feel free to contact us at .
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