Extensively updated to reflect the evolution of statistics and computing, the second edition of the bestselling R Graphics comes complete with with new packages and new examples. Paul Murrell, widely known as the leading expert on R graphics, has developed an in-depth resource that helps both neophyte and seasoned users master the intricacies of R graphics. New in the Second Edition Updated information on the core graphics engine, the traditional graphics system, the grid graphics system, and the lattice package A new chapter on the ggplot2 package New chapters on applications and extensions of R Graphics, including geographic maps, dynamic and interactive graphics, and node-and-edge graphs Organized into five parts, R Graphics covers both "traditional" and newer, R-specific graphics systems. The book reviews the graphics facilities of the R language and describes Rs powerful grid graphics system. The book then covers the graphics engine, which represents a common set of fundamental graphics facilities, and provides a series of brief overviews of some of the major areas of application for R graphics, and some of the major extensions of R graphics.
[1]
W. Cleveland,et al.
Graphical Perception: Theory, Experimentation, and Application to the Development of Graphical Methods
,
1984
.
[2]
Howard Trickey.
Latex user guide
,
1990
.
[3]
M. Friendly.
Mosaic Displays for Multi-Way Contingency Tables
,
1994
.
[4]
Uwe Ligges,et al.
Scatterplot3d - an R package for visualizing multivariate data
,
2003
.
[5]
Duncan Temple Lang,et al.
GGobi: evolving from XGobi into an extensible framework for interactive data visualization
,
2003,
Comput. Stat. Data Anal..
[6]
Jean YH Yang,et al.
Bioconductor: open software development for computational biology and bioinformatics
,
2004,
Genome Biology.
[7]
Kurt Hornik,et al.
The Strucplot Framework: Visualizing Multi-way Contingency Tables with vcd
,
2006
.