ggplot2

Cover -- Contents -- 1 Introduction -- 1.1 Welcome to ggplot2 -- 1.2 Other resources -- 1.3 What is the grammar of graphics? -- 1.4 How does ggplot2 fit in with other R graphics? -- 1.5 About this book -- 1.6 Installation -- 1.7 Acknowledgements -- 2 Getting started with qplot -- 2.1 Introduction -- 2.2 Datasets -- 2.3 Basic use -- 2.4 Colour, size, shape and other aesthetic attributes -- 2.5 Plot geoms -- 2.5.1 Adding a smoother to a plot -- 2.5.2 Boxplots and jittered points -- 2.5.3 Histogram and density plots -- 2.5.4 Bar charts -- 2.5.5 Time series with line and path plots -- 2.6 Faceting -- 2.7 Other options -- 2.8 Differences from plot -- 3 Mastering the grammar -- 3.1 Introduction -- 3.2 Fuel economy data -- 3.3 Building a scatterplot -- 3.4 A more complex plot -- 3.5 Components of the layered grammar -- 3.5.1 Layers -- 3.5.2 Scales -- 3.5.3 Coordinate system -- 3.5.4 Faceting -- 3.6 Data structures -- 4 Build a plot layer by layer -- 4.1 Introduction -- 4.2 Creating a plot -- 4.3 Layers -- 4.4 Data -- 4.5 Aesthetic mappings -- 4.5.1 Plots and layers -- 4.5.2 Setting vs. mapping -- 4.5.3 Grouping -- 4.5.4 Matching aesthetics to graphic objects -- 4.6 Geoms -- 4.7 Stat -- 4.8 Position adjustments -- 4.9 Pulling it all together -- 4.9.1 Combining geoms and stats -- 4.9.2 Displaying precomputed statistics -- 4.9.3 Varying aesthetics and data -- 5 Toolbox -- 5.1 Introduction -- 5.2 Overall layering strategy -- 5.3 Basic plot types -- 5.4 Displaying distributions -- 5.5 Dealing with overplotting -- 5.6 Surface plots -- 5.7 Drawing maps -- 5.8 Revealing uncertainty -- 5.9 Statistical summaries -- 5.9.1 Individual summary functions -- 5.9.2 Single summary function -- 5.10 Annotating a plot -- 5.11 Weighted data -- 6 Scales, axes and legends -- 6.1 Introduction -- 6.2 How scales work -- 6.3 Usage -- 6.4 Scale details -- 6.4.1 Common arguments -- 6.4.2 Position scales -- 6.4.3 Colour -- 6.4.4 The manual discrete scale -- 6.4.5 The identity scale -- 6.5 Legends and axes -- 6.6 More resources -- 7 Positioning -- 7.1 Introduction -- 7.2 Faceting -- 7.2.1 Facet grid -- 7.2.2 Facet wrap -- 7.2.3 Controlling scales -- 7.2.4 Missing faceting variables -- 7.2.5 Grouping vs. faceting -- 7.2.6 Dodging vs. faceting -- 7.2.7 Continuous variables -- 7.3 Coordinate systems -- 7.3.1 Transformation -- 7.3.2 Statistics -- 7.3.3 Cartesian coordinate systems -- 7.3.4 Non-Cartesian coordinate systems -- 8 Polishing your plots for publication -- 8.1 Themes -- 8.1.1 Built-in themes -- 8.1.2 Theme elements and element functions -- 8.2 Customising scales and geoms -- 8.2.1 Scales -- 8.2.2 Geoms and stats -- 8.3 Saving your output -- 8.4 Multiple plots on the same page -- 8.4.1 Subplots -- 8.4.2 Rectangular grids -- 9 Manipulating data -- 9.1 An introduction to plyr -- 9.1.1 Fitting multiple models -- 9.2 Converting data from wide to long -- 9.2.1 Multiple time series -- 9.2.2 Parallel coordinates plot -- 9.3 ggplot() methods -- 9.3.1 Linear models -- 9.3.2 Writing your own -- 10 Reducing duplication -- 10.1 Introduction -- 10.2 Iteration.