R Graphics

Paul Murrell

July 29, 2005 by Chapman and Hall/CRC
Reference - 328 Pages - 10 Color & 118 B/W Illustrations
ISBN 9781584884866 - CAT# C486X
Series: Chapman & Hall/CRC The R Series

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  • Provides the first complete reference on R graphics that presents both a "big picture" description and very detailed explanations
  • Includes a full description of grid graphics
  • Discusses how to write graphics functions that are easy for others to use and combine nicely with other graphics functions
  • Includes a gallery of more than 100 images along with the code necessary to produce them
  • Offers an online resource with all of the images, R code, and datasets at http://www.stat.auckland.ac.nz/~paul/RGraphics/rgraphics.html
  • Summary

    R is revolutionizing the world of statistical computing. Powerful, flexible, and best of all free, R is now the program of choice for tens of thousands of statisticians.

    Destined to become an instant classic, R Graphics presents the first complete, authoritative exposition on the R graphical system. Paul Murrell, widely known as the leading expert on R graphics, has developed an in-depth resource that takes nothing for granted and helps both neophyte and seasoned users master the intricacies of R graphics. After an introductory overview of R graphics facilities, the presentation first focuses on the traditional graphics system, showing how to work the traditional functions, describing functions that are available to produce complete plots, and how to customize the details of plots.

    The second part of the book describes the grid graphics system - a system unique to R and much more powerful than the traditional system. The author, who was integral in the development of the grid system, shows, starting from a blank page, how it can be used to produce graphical scenes. He also describes how to develop new graphical functions that are easy for others to use and build on. Appendices contain a brief introduction to the R system in general and discuss how the traditional and grid graphics systems can be combined.

    Much of the information presented in this book cannot be found anywhere else. Well ahead of the curve, particularly regarding the grid system, R Graphics will have a major impact on the future direction of statistical graphics development.

    The author maintains a website with more information.