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R Graphics Cookbookby Winston Chang
Synopses & Reviews
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.
In the last few years, the R programming language has gained a lot of mindshare among people who need to manipulate and analyze data. One reason for this growth is that R has many tools for generating generate high-quality graphs. R Graphics Cookbook serves as a practical guide to help you make graphs quickly, without having to spend time learning about all the details of the R graphing systems.
Author Winston Chang bases the book in part on his own website, R Cookbook. He also includes coverage of the ggplot2 package, a more powerful and flexible way to make graphs in R. For situations where this is not the best option, Chang provides readers with simple versions of the non-ggplot2 alternatives.
About the Author
Winston Chang is a software engineer at RStudio, where he works on data visualization and software development tools for R. He holds a Ph.D. in Psychology from Northwestern University. During his time as a graduate student, he created a website called "Cookbook for R", which contains recipes for handling common tasks in R. In previous lives, he was a philosophy graduate student and a computer programmer.
Table of Contents
PrefaceChapter 1: R BasicsChapter 2: Quickly Exploring DataChapter 3: Bar GraphsChapter 4: Line GraphsChapter 5: Scatter PlotsChapter 6: Summarized Data DistributionsChapter 7: AnnotationsChapter 8: AxesChapter 9: Controlling the Overall Appearance of GraphsChapter 10: LegendsChapter 11: FacetsChapter 12: Using Colors in PlotsChapter 13: Miscellaneous GraphsChapter 14: Output for PresentationChapter 15: Getting Your Data into ShapeIntroduction to ggplot2Colophon
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