ggplot2 Essentials电子书

ggplot2 Essentials

Table of Contents

ggplot2 Essentials

Credits

About the Author

About the Reviewers

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Preface

What this book covers

What you need for this book

Who this book is for

Conventions

Reader feedback

Customer support

Downloading the example code

Downloading the color images of this book

Errata

Piracy

Questions

1. Graphics in R

Getting ggplot2 up and running

Packages in R

The Integrated Development Environment

RStudio

Eclipse and StatET

Emacs and ESS

The plotting environments in R

Standard graphics and grid-based graphics

Graphics and standard plots

Scatterplots with individual data points

Scatterplots with the line of one tree

Scatterplots with the line and points of one tree

Boxplots of the orange dataset

Boxplots with individual observations

Histograms of the orange dataset

Histograms with the reference line at the median value in red

Lattice and Trellis plots

Scatterplots with individual observations

Scatterplots of the orange dataset with faceting

Faceting scatterplots with line and points

Scatterplots with grouping data

Boxplots of the orange dataset

Histograms of the orange dataset

Histograms with the reference line at the median value in red

ggplot2 and the grammar of graphics

Further reading

Summary

2. Getting Started

General aspects

Introduction to aesthetic attributes

Introduction to faceting

Histograms and density plots

Bar charts

Boxplots

Scatterplots

Time series

Bubble charts and dot plots

Further reading

Summary

3. The Layers and Grammar of Graphics

Components of layered grammar

Creating a plot layer by layer with the ggplot function

Scales

The coordinate system

Faceting

Grid faceting

Wrap faceting

Layers in ggplot2

Data

Aesthetic mapping

Geometric

Stat

Position adjustment

Position adjustment of categorical data

Position adjustment of continuous data

Equivalent coding between qplot and ggplot

Histograms and density plots

Bar charts

Boxplots

Scatterplots

Further reading

Summary

4. Advanced Plotting Techniques

Adding statistics

Smooth lines

Linear regression

Statistics with faceting

Advanced aesthetic mapping

Typical aesthetic mappings available in ggplot2

Mapping the aesthetic to new stat variables

Difference in mapping continuous and categorical variables

Adding text and reference lines to plots

Add text and reference lines with facets

Plots with polar coordinates

A pie chart

A bullseye chart

A coxcomb diagram

Further reading

Summary

5. Controlling Plot Details

Exploring scales

The plot title and axis labels

Axis scales

The discrete axis

The continuous axis

Axis transformations

Legends

The legend title

Legend keys and key labels

Themes

Themes for the legend

Themes for the axis and title

Themes for the plot background

Themes with facets

Further reading

Summary

6. Plot Output

Multiple plots in one page

Arranging plots in rows and columns

Specifying the plot position

Saving plots to a file

Saving the plot manually

Saving the plot to a file without rendering it

Saving a single plot

Saving multiple plots on the same PDF file

Saving the plot after rendering it

Further reading

Summary

7. Special Applications of ggplot2

Plotting maps with ggplot2 and ggmap

Mapping representations with ggplot2 and maps

Representing maps with ggmap

Scatterplot matrix with GGally

Plotting heatmaps with ggplot2

Further reading

Summary

Index