Table of Contents
Preface
1 Introduction
1.1 Multipanel conditioning
1.1.1 A histogram for every group
1.1.2 The Trellis call
1.1.3 Kernel density plots
1.2 Superposition
1.3 The “trellis” object
1.3.1 The missing Trellis display
1.3.2 Arranging multiple Trellis plots
1.4 Looking ahead
Part I Basics
2 A Technical Overview of lattice
2.1 Basic usage
2.1.1 The Trellis formula
2.1.2 The data argument
2.1.3 Conditioning
2.1.4 Shingles
2.2 Dimension and physical layout
2.2.1 Aspect ratio
2.2.2 Layout
2.2.3 Fine-tuning the layout: between and skip
2.3 Grouped displays
2.4 Annotation: Captions, labels, and legends
2.4.1 More on legends
2.5 Graphing the data
2.5.1 Scales and axes
2.5.2 The panel function
2.5.3 The panel function demystified
2.6 Return value
3 Visualizing Univariate Distributions
3.1 Density Plot
3.2 Large datasets
3.3 Histograms
3.4 Normal Q–Q plots
3.4.1 Normality and the Box–Cox transformation
3.4.2 Other theoretical Q–Q plots
3.5 The empirical CDF
3.6 Two-sample Q–Q plots
3.7 Box-and-whisker plots
3.7.1 Violin plots
3.8 Strip plots
3.9 Coercion rules
3.10 Discrete distributions
3.11 A note on the formula interface
4 Displaying Multiway Tables
4.1 Cleveland dot plot
4.2 Bar chart
4.2.1 Manipulating order
4.2.2 Bar charts and discrete distributions
4.3 Visualizing categorical data
5 Scatter Plots and Extensions
5.1 The standard scatter plot
5.2 Advanced indexing using subscripts
5.3 Variants using the type argument
5.3.1 Superposition and type
5.4 Scatter-plot variants for large data
5.5 Scatter-plot matrix
5.5.1 Interacting with scatter-plot matrices
5.6 Parallel coordinates plot
6 Trivariate Displays
6.1 Three-dimensional scatter plots
6.1.1 Dynamic manipulation versus stereo viewing
6.1.2 Variants and panel functions
6.2 Surfaces and two-way tables
6.2.1 Data preparation
6.2.2 Visualizing surfaces
6.2.3 Visualizing discrete array data
6.3 Theoretical surfaces
6.3.1 Parameterized surfaces
6.4 Choosing a palette for false-color plots
Part II Finer Control
7 Graphical Parameters and Other Settings
7.1 The parameter system
7.1.1 Themes
7.1.2 Devices
7.1.3 Initializing a graphics device
7.1.4 Reading and modifying a theme
7.1.5 Usage and alternative forms
7.1.6 The par.settings argument
7.2 Available graphical parameters
7.2.1 Nonstandard settings
7.3 Non-graphical options
7.3.1 Argument defaults
7.4 Making customizations persistent
8 Plot Coordinates and Axis Annotation
8.1 Packets and the prepanel function
8.2 The scales argument
8.2.1 Relation
8.2.2 Axis annotation: Ticks and labels
8.2.3 Defaults
8.2.4 Three-dimensional displays: cloud() and wireframe()
8.3 Limits and aspect ratio
8.3.1 The prepanel function revisited
8.3.2 Explicit specification of limits
8.3.3 Choosing aspect ratio by banking
8.4 Scale components and the axis function
8.4.1 Components
8.4.2 Axis
9 Labels and Legends
9.1 Labels
9.2 Legends
9.2.1 Legends as grid graphical objects
9.2.2 The colorkey argument
9.2.3 The key argument
9.2.4 The problem with settings, and the auto.key argument
9.2.5 Dropping unused levels from groups
9.2.6 A more complicated example
9.2.7 Further control: The legend argument
9.3 Page annotation
10 Data Manipulation and Related Topics
10.1 Nonstandard evaluation
10.2 The extended formula interface
10.3 Combining data sources with make.groups()
10.4 Subsetting
10.4.1 Dropping of factor levels
10.5 Shingles and related utilities
10.5.1 Coercion to factors and shingles
10.5.2 Using shingles for axis breaks
10.5.3 Cut-and-stack plots
10.6 Ordering levels of categorical variables
10.7 Controlling the appearance of strips
10.8 An Example Revisited
11 Manipulating the “trellis” Object
11.1 Methods for “trellis” objects
11.2 The plot(), print(), and summary() methods
11.3 The update() method and trellis.last.object()
11.4 Tukey mean–difference plot
11.5 Specialized manipulations
11.6 Manipulating the display
12 Interacting with Trellis Displays
12.1 The traditional graphics model
12.1.1 Interaction
12.2 Viewports, trellis.vpname(), and trellis.focus()
12.3 Interactive additions
12.4 Other uses
Part III Extending Trellis Displays
13 Advanced Panel Functions
13.1 Preliminaries
13.1.1 Building blocks for panel functions
13.1.2 Accessor functions
13.1.3 Arguments
13.2 A toy example: Hypotrochoids and hypocycloids
13.3 Some more examples
13.3.1 An alternative density estimate
13.3.2 A modified box-and-whisker plot
13.3.3 Corrgrams as customized level plots
13.4 Three-dimensional projections
13.5 Maps
13.5.1 A simple projection scheme
13.5.2 Maps with conditioning
14 New Trellis Displays
14.1 S3 methods
14.2 S4 methods
14.3 New functions
14.3.1 A complete example: Multipanel pie charts
References
Index