"The book under review is a greatly extended second edition of the well-received 2006 book. The size has almost doubled by adding 12 new chapters of which one is a former appendix, so that the second edition now contains 19 chapters divided into four parts. ... this edition is invaluable and a necessity for everyone who regularly has to produce graphs by using R." -Stefan K. Lhachimi, Journal of the Royal Statistical Society, Series A, February 2014 "This is a timely revision for a well-liked book. ... this book is the place to go for advice on how to draw that graphic. ... The strengths of the book remain the clear exposition of the traditional and grid graphics systems and the numerous examples (for which the code is, of course, available on the book's website). The new coverage of many other graphics packages adds to the book's attractiveness and in particular the chapter on ggplot2 is an excellent introduction to a complex package. ... a very good book, which will be of use to anyone working seriously with graphics in R." -Antony Unwin, International Statistical Review, 2012 "A lot has changed in the world of statistical graphics during this time, which is reflected in the substantial new material in the second edition. ... the changes make this book the essential and comprehensive guide to graphics in R. ... This is an excellent book. Everyone who uses R to draw graphics should have a copy!" -Journal of Statistical Software, Vol. 43, September 2011 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
Über den Autor und weitere Mitwirkende
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.