R Graphics

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.

An Introduction to R Graphics
R graphics examples
The organization of R graphics

TRADITIONAL GRAPHICS
Simple Usage of Traditional Graphics
The traditional graphics model
The plot() function
Plots of a single variable
Plots of two variables
Plots of many variables
Arguments to graphics functions
Specialized plots
Interactive graphics

Customizing Traditional Graphics
The traditional graphics model in more detail
Controlling the appearance of plots
Arranging multiple plots
Annotating plots
Creating new plots

GRID GRAPHICS
Trellis Graphics: the lattice Package
The lattice graphics model
Why another graphics system?
lattice plot types
The formula argument and multipanel conditioning
The group argument and legends
The layout argument and arranging plots
The scales argument and labelling axes
The panel argument and annotating plots
The par.settings argument and graphical parameters
Extending lattice plots

The Grammar of Graphics: the ggplot2 Package
Quick plots
The ggplot2 graphics model
Why another graphics system?
Data
Geoms and aesthetics
Scales
Statistical transformations
The group aesthetic
Position adjustments
Coordinate transformations
Facets
Themes
Annotating
Extending ggplot2

The grid Graphics Model
A brief overview of grid graphics
A simple example
Graphical primitives
Coordinate systems
Controlling the appearance of output
Viewports
Missing values and non-finite values
Interactive graphics
Customizing lattice plots
Customizing ggplot2 output

The grid Graphics Object Model
Working with graphical output
Grob lists, trees, and paths
Working with graphical objects off-screen
7.Capturing output
Placing and packing grobs in frames
Other details about grobs
Saving and loading grid graphics
Working with lattice grobs
Working with ggplot2 grobs

Developing New Graphics Functions and Objects
An example
Modularity
Simple graphics functions
Graphical objects
Debugging grid

THE GRAPHICS ENGINE
Graphics Formats
Graphics devices
Graphical output formats
Including R graphics in other documents
Device-specific features
Multiple pages of output
Display lists
Extension packages

Graphical Parameters
Colors
Line styles
Data symbols
Fonts
Mathematical formulae

GRAPHICS PACKAGES
Graphics Extensions
Tricks with text
Drawing formatted text on a plot
Avoiding text overlaps
Peculiar primitives
Confidence bars
Calculations on colors
Custom coordinates
Atypical axes

Plot Extensions
Venn diagrams
Chernoff faces
Ternary plots
Soil texture diagrams
Polar plots
Hexagonal binning

Graphics for Categorical Data
The vcd package
XMM-Newton
Plots of Categorical Data
Categorical data on the y-axis
Visualizing contingency tables
Categorical plot matrices
Multipanel categorical plots
Customizing categorical plots
The vcdExtra package

Maps
Map data
Map annotation
Complex polygons
Map projections
Raster maps
Other packages

Node-and-edge Graphs
Creating graphs
Graph layout and rendering
Other packages
Diagrams

3-D Graphics
3-D graphics concepts
The Canterbury earthquake
Traditional graphics
Lattice graphics
The scatterplot3d package
The rgl package
The vrmlgen package

Dynamic and Interactive Graphics
Dynamic Graphics
Interactive Graphics
Graphics GUIs
Interactive graphics for the web

Importing Graphics
The moon and the tides
Importing raster graphics
Importing vector graphics

Combining Graphics Systems
The gridBase package