Introduction.- Getting Started with ggplot2.- Toolbox.- Mastering the Grammar.- Building a Plot Layer by Layer.- Scales, Axes and Legends.- Positioning.- Themes.- Data Analysis.- Data Transformation.- Modelling for Visualisation.- Programming with ggplot2.- Index.- R Code Index.
Hadley Wickham is Chief Scientist at RStudio and Assistant
Professor of Statistics at Rice University. Hadley 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 won the John Chambers Award for
Statistical Computing for his work on the ggplot and reshape R
packages.
Carson Sievert is a PhD student in the Department of
Statistics at Iowa State University. His work includes R packages
for acquiring data from the Web (pitchRx, bbscrapeR, XML2R),
designing interactive Web graphics (animint, plotly), and
visualizations for exploring statistical models (LDAvis).
"The versatility and efficiency of ggplot have led to the
development of ggplot2 and this book which overviews the standard
use and presentation secrets of functions developed in the last 5
years. ... The book is written in an accessible manner and it is
suitable for undergraduates, postgraduates and researchers with
some R experience. All theoretical concepts are accompanied by code
making it easy to learn by reproducing the examples." (Irina Ioana
Mohorianu, zbMATH 1397.62006, 2018)
"The book is an excellent and very comprehensive manual of ... one
of the most popular R packages. It is currently the only book
describing ggplot2 in such depth. The book contains many examples
and is very nicely illustrated, demonstrating the strength of the
package." (Klaus Galensa, Computing Reviews, May, 2017)
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