ggplot2: Elegant Graphics for Data Analysis

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Springer Science & Business Media, Oct 3, 2009 - Computers - 213 pages
1. 1 Welcome to ggplot2 ggplot2 is an R package for producing statistical, or data, graphics, but it is unlike most other graphics packages because it has a deep underlying grammar. This grammar, based on the Grammar of Graphics (Wilkinson, 2005), is composed of a set of independent components that can be composed in many di?erent ways. This makesggplot2 very powerful, because you are not limited to a set of pre-speci?ed graphics, but you can create new graphics that are precisely tailored for your problem. This may sound overwhelming, but because there is a simple set of core principles and very few special cases, ggplot2 is also easy to learn (although it may take a little time to forget your preconceptions from other graphics tools). Practically,ggplot2 provides beautiful, hassle-free plots, that take care of ?ddly details like drawing legends. The plots can be built up iteratively and edited later. A carefully chosen set of defaults means that most of the time you can produce a publication-quality graphic in seconds, but if you do have special formatting requirements, a comprehensive theming system makes it easy to do what you want. Instead of spending time making your graph look pretty, you can focus on creating a graph that best reveals the messages in your data.

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User Review  - scottjpearson - LibraryThing

This is another book that applies to one of my nascent passions: Statistical programming with R. This book brings forth the central visualization package in ggplot by its author Hadley Wickham. Like ... Read full review


1 Introduction
2 Getting started with qplot
3 Mastering the grammar
4 Build a plot layer by layer
5 Toolbox
6 Scales axes and legends
7 Positioning
8 Polishing your plots for publication
9 Manipulating data
10 Reducing duplication

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