ggplot2: Elegant Graphics for Data Analysis

✍ Scribed by Hadley Wickham (auth.)

• Publisher: Springer International Publishing
• Year: 2016
• Tongue: English
• Leaves: 268
• Series: Use R!
• Edition: 2
• Category: Library

✦ Synopsis

This new edition to the classic book by ggplot2 creator Hadley Wickham highlights compatibility with knitr and RStudio. ggplot2 is a data visualization package for R that helps users create data graphics, including those that are multi-layered, with ease. With ggplot2, it's easy to:

• produce handsome, publication-quality plots with automatic legends created from the plot specification
• superimpose multiple layers (points, lines, maps, tiles, box plots) from different data sources with automatically adjusted common scales
• add customizable smoothers that use powerful modeling capabilities of R, such as loess, linear models, generalized 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 a 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 data in an informative and attractive way. Some basic knowledge of R is necessary (e.g., importing data into R). 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.

✦ Table of Contents

Front Matter....Pages i-xvi
Front Matter....Pages 1-1
Introduction....Pages 3-10
Getting Started with ggplot2....Pages 11-31
Toolbox....Pages 33-74
Front Matter....Pages 75-75
Mastering the Grammar....Pages 77-88
Build a Plot Layer by Layer....Pages 89-107
Scales, Axes and Legends....Pages 109-145
Positioning....Pages 147-168
Themes....Pages 169-186
Front Matter....Pages 187-187
Data Analysis....Pages 189-201
Data Transformation....Pages 203-220
Modelling for Visualisation....Pages 221-240
Programming with ggplot2....Pages 241-253
Back Matter....Pages 255-260

✦ Subjects

Statistics and Computing/Statistics Programs; Visualization; Computer Graphics