Murrell R Graphics, Second Edition

2. Auflage 2011
ISBN: 978-1-4398-3177-9
Verlag: Taylor & Francis
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 546 Seiten

Reihe: Chapman & Hall/CRC The R Series

Extensively updated to reflect the evolution of statistics and computing, the second edition of the bestselling R Graphics comes complete 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 R’s powerful grid graphics system. It then covers the graphics engine, which represents a common set of fundamental graphics facilities, and provides a series of brief overviews of the major areas of application for R graphics and the major extensions of R graphics.

Zielgruppe

Graduate students, researchers, and practitioners in statistics; researchers involved in data analysis, particularly medical research and epidemiology, biology, engineering, and the social sciences.

Autoren/Hrsg.

Murrell, Paul

Fachgebiete

• Sozialwissenschaften Soziologie | Soziale Arbeit Soziologie Allgemein Empirische Sozialforschung, Statistik
• Mathematik | Informatik Mathematik Stochastik Wahrscheinlichkeitsrechnung
• Mathematik | Informatik Mathematik Stochastik Mathematische Statistik
• Mathematik | Informatik EDV | Informatik Business Application Mathematische & Statistische Software

Inhaltsverzeichnis

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

Über Autor(innen)

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.