- Preliminaries
- Series
- Preface
- Chapter 1 An Introduction to R Graphics
- Part I TRADITIONAL GRAPHICS
- Chapter 2 Simple Usage of Traditional Graphics
- Chapter 3 Customizing Traditional Graphics
- 3.1 The traditional graphics model in more detail
- 3.2 Controlling the appearance of plots
- 3.3 Arranging multiple plots
- 3.4 Annotating plots
- 3.5 Creating new plots
- Figure 3.1
- Figure 3.1
- Figure 3.2
- Figure 3.3
- Figure 3.4
- Figure 3.5
- Figure 3.6
- Figure 3.7
- Figure 3.8
- Figure 3.9
- Figure 3.10
- Figure 3.11
- Figure 3.12
- Figure 3.13
- Figure 3.14
- Figure 3.15
- Figure 3.16
- Figure 3.17
- Figure 3.18
- Figure 3.19
- Figure 3.20
- Figure 3.21
- Figure 3.22
- Figure 3.23
- Figure 3.24
- Figure 3.25
- Figure 3.26
- Figure 3.27
- Figure 3.28
- Table 3.1
- Part II GRID GRAPHICS
- Chapter 4 Trellis Graphics: The lattice Package
- 4.1 The lattice graphics model
- 4.2 lattice plot types
- 4.3 The formula argument and multipanel conditioning
- 4.4 The group argument and legends
- 4.5 The layout argument and arranging plots
- 4.6 The scales argument and labeling axes
- 4.7 The panel argument and annotating plots
- 4.8 par.settings and graphical parameters
- 4.9 Extending lattice plots
- Figure 4.1
- Table 4.1
- Chapter 5 The Grammar of Graphics: The ggplot2 Package
- Chapter 6 The grid Graphics Model
- 6.1 A brief overview of grid graphics
- 6.2 Graphical primitives
- 6.3 Coordinate systems
- 6.4 Controlling the appearance of output
- 6.5 Viewports
- 6.6 Missing values and non-finite values
- 6.7 Interactive graphics
- 6.8 Customizing lattice plots
- 6.9 Customizing ggplot2 output
- Figure 6.1
- Figure 6.1
- Figure 6.2
- Figure 6.3
- Figure 6.4
- Figure 6.5
- Figure 6.6
- Figure 6.7
- Figure 6.8
- Figure 6.9
- Figure 6.10
- Figure 6.11
- Figure 6.12
- Figure 6.13
- Figure 6.14
- Figure 6.15
- Figure 6.16
- Figure 6.17
- Figure 6.18
- Figure 6.19
- Figure 6.20
- Figure 6.21
- Figure 6.22
- Figure 6.23
- Figure 6.24
- Figure 6.25
- Figure 6.26
- Table 6.1
- Chapter 7 The grid Graphics Object Model
- 7.1 Working with graphical output
- 7.2 Grob lists, trees, and paths
- 7.3 Working with graphical objects off-screen
- 7.4 Placing and packing grobs in frames
- 7.5 Other details about grobs
- 7.6 Saving and loading grid graphics
- 7.7 Working with lattice grobs
- 7.8 Working with ggplot2 grobs
- Figure 7.1
- Table 7.1
- Chapter 8 Developing New Graphics Functions and Objects
- 8.1 An example
- 8.2 Simple graphics functions
- 8.3 Graphical objects
- 8.3.1 Overview of creating a new graphical class
- 8.3.2 Defining a new graphical class
- 8.3.3 Validating grobs
- 8.3.4 Drawing grobs
- 8.3.5 Editing grobs
- 8.3.6 Querying grobs
- 8.3.7 Pre-drawing and post-drawing
- 8.3.8 Summary of graphical object methods
- 8.3.9 Completing the example
- 8.3.10 Reusing graphical elements
- 8.3.11 Other details
- 8.4 Debugging grid
- Figure 8.1
- Figure 8.1
- Figure 8.2
- Figure 8.3
- Figure 8.4
- Figure 8.5
- Figure 8.6
- Figure 8.7
- Figure 8.8
- Figure 8.9
- Figure 8.10
- Figure 8.11
- Figure 8.12
- Figure 8.13
- Figure 8.14
- Figure 8.15
- Figure 8.16
- Figure 8.17
- Figure 8.18
- Figure 8.19
- Figure 8.20
- Figure 8.21
- Figure 8.22
- Figure 8.23
- Figure 8.24
- Figure 8.25
- Figure 8.26
- Figure 8.27
- Chapter 4 Trellis Graphics: The lattice Package
- Part III THE GRAPHICS ENGINE
- Chapter 9 Graphics Formats
- Chapter 10 Graphical Parameters
- Part IV GRAPHICS PACKAGES
- Chapter 11 Graphics Extensions
- Chapter 12 Plot Extensions
- Chapter 13 Graphics for Categorical Data
- Chapter 14 Maps
- Chapter 15 Node-and-edge Graphs
- Chapter 16 3D Graphics
- Chapter 17 Dynamic and Interactive Graphics
- Chapter 18 Importing Graphics
- Chapter 19 Combining Graphics Systems
- Bibliography
Chapman & Hall/CRC
The R Series
Series Editors
John M. Chambers
Department of Statistics
Stanford University
Stanford, California, USA
Duncan Temple Lang
Department of Statistics
University of California, Davis
Davis, California, USA
Torsten Hothorn
Institut für Statistik
Ludwig-Maximilians-Universität
München, Germany
Hadley Wickham
Department of Statistics
Rice University
Houston, Texas, USA
Aims and Scope
This book series reflects the recent rapid growth in the development and application of R, the programming language and software environment for statistical computing and graphics. R is now widely used in academic research, education, and industry. It is constantly growing, with new versions of the core software released regularly and more than 2,600 packages available. It is difficult for the documentation to keep pace with the expansion of the software, and this vital book series provides a forum for the publication of books covering many aspects of the development and application of R.
The scope of the series is wide, covering three main threads:
- Applications of R to specific disciplines such as biology, epidemiology, genetics, engineering, finance, and the social sciences.
- Using R for the study of topics of statistical methodology, such as linear and mixed modeling, time series, Bayesian methods, and missing data.
- The development of R, including programming, building packages, and graphics.
The books will appeal to programmers and developers of R software, as well as applied statisticians and data analysts in many fields. The books will feature detailed worked examples and R code fully integrated into the text, ensuring their usefulness to researchers, practitioners and students.
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