United States
£ GBP
In today's world of statistical computing, R is the program of choice for tens of thousands of statisticians, which is why R Graphics is sure to become an instant classic. Considered the leading expert on the use of R graphics, Murrell gives statisticians the first complete reference on the R graphical system. An in-depth text that takes nothing for granted, it helps both neophytes and seasoned statisticians master the intricacies of R.
Extensively updated to reflect the evolution of statistics and computing, the second edition comes complete with with new packages and new examples.
An Introduction to R Graphics
TRADITIONAL GRAPHICS
Simple Usage of Traditional Graphics
Customizing Traditional Graphics
GRID GRAPHICS
Trellis Graphics: the lattice Package
The Grammar of Graphics: the ggplot2 Package
The grid Graphics Model
The grid Graphics Object Model
Developing New Graphics Functions and Objects
THE GRAPHICS ENGINE
Graphics Formats
Graphical Parameters
GRAPHICS PACKAGES
Graphics Extensions
Plot Extensions
Graphics for Categorical Data
Maps
Node-and-edge Graphs
3-D Graphics
Dynamic and Interactive Graphics
Importing Graphics
Combining Graphics Systems
Paul Murrell attended Auckland University for his BSc (in Computer Science), BA (in Psychology), MSc (in Psychology), and PhD (in Statistics!). He then spent a year at the University of Cambridge in the Department of Community Medicine as a medical statistician and research assistant, before joining the Department of Statistics at Auckland University in October, 1999. His research interests include computational and graphical statistics. He is currently part of the development team for the R and Omegahat statistical computing projects. He was elected a Fellow of the American Statistical Association in 2010.
Praise for the First Edition !R Graphics is a must for many useRs and programmmeRs ! Paul Murrell, a member of the R Core Development Team, has not only been the main author of 'grid' but has also been responsible for several recent enhancements to the underlying R graphics engine. Together with its online companion website, this book will be an indispensable resource for almost everyone interested in how to produce R graphics efficiently and intelligently. --Martin Maechler, Swiss Federal Institute of Technology, Zurich !Starting with the basic plotting commands most users are familiar with from introductory texts, the book gives a comprehensive overview of the current state and design principles of visualizing data with R. Paul Murrell is one of the main authors of R's graphical facilities, and inventor of completely new features like the grid system or expressions for annotation of plots with mathematical formulae. ! beginners gradually are turned into programmers while learning the language, having ample material for both novices and experts. It will certainly claim its place on the bookshelf of reference guides next to my desktop. --Friedrich Leisch, Technical University of Vienna, Austria R Graphics is exactly the sort of documentation that R needs. It is written clearly, with many examples, and will be useful for any level of R expertise from novice upwards. It contains more than a hundred figures containing model code and its output. There are extensive cross-references that make finding detailed information easy. My copy of the book is from the first printing, but it is exceptionally free of typographical and other errors. ! Murrell is to be congratulated. --Duncan Murdoch, University of Western Ontario, Canada Thanks to Paul Murrell's new book, the secrets of both traditional graphics and the new, modern grid system get unveiled ! a must-have for novices and professionals alike, the ultimate guide to the power (and beauty) of R graphics. --David Meyer, Vienna University of Economics and Business Administration, R News, 6(2), 2006 It achieves its goal of documenting the graphical facilities of R and should be extremely useful to anyone in need of detailed knowledge, in particular, of R's grid graphics. --Soren Feodor Nielsen, University of Copenhagen, Journal of Applied Statistics, November 2007, Vol. 34, No. 9
