book

R Graphics Cookbook

Name: R Graphics Cookbook
Author: Winston Chang
ISBN: 9781449316952

by Winston Chang

December 2012

Beginner to intermediate

411 pages

8h 53m

English

O'Reilly Media, Inc.

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A Note Regarding Supplemental Files
Preface
RecipesSoftware and Platform NotesConventions Used in This BookUsing Code ExamplesSafari® Books OnlineHow to Contact UsAcknowledgments
1. R Basics
Installing a PackageLoading a PackageLoading a Delimited Text Data FileLoading Data from an Excel FileLoading Data from an SPSS File
2. Quickly Exploring Data
Creating a Scatter PlotCreating a Line GraphCreating a Bar GraphCreating a HistogramCreating a Box PlotPlotting a Function Curve
3. Bar Graphs
Making a Basic Bar GraphGrouping Bars TogetherMaking a Bar Graph of CountsUsing Colors in a Bar GraphColoring Negative and Positive Bars DifferentlyAdjusting Bar Width and SpacingMaking a Stacked Bar GraphMaking a Proportional Stacked Bar GraphAdding Labels to a Bar GraphMaking a Cleveland Dot Plot
4. Line Graphs
Making a Basic Line GraphAdding Points to a Line GraphMaking a Line Graph with Multiple LinesChanging the Appearance of LinesChanging the Appearance of PointsMaking a Graph with a Shaded AreaMaking a Stacked Area GraphMaking a Proportional Stacked Area GraphAdding a Confidence Region
5. Scatter Plots
Making a Basic Scatter PlotGrouping Data Points by a Variable Using Shape or ColorUsing Different Point ShapesMapping a Continuous Variable to Color or SizeDealing with OverplottingAdding Fitted Regression Model LinesAdding Fitted Lines from an Existing ModelAdding Fitted Lines from Multiple Existing ModelsAdding Annotations with Model CoefficientsAdding Marginal Rugs to a Scatter PlotLabeling Points in a Scatter PlotCreating a Balloon PlotMaking a Scatter Plot Matrix
6. Summarized Data Distributions
Making a Basic HistogramMaking Multiple Histograms from Grouped DataMaking a Density CurveMaking Multiple Density Curves from Grouped DataMaking a Frequency PolygonMaking a Basic Box PlotAdding Notches to a Box PlotAdding Means to a Box PlotMaking a Violin PlotMaking a Dot PlotMaking Multiple Dot Plots for Grouped DataMaking a Density Plot of Two-Dimensional Data
7. Annotations
Adding Text AnnotationsUsing Mathematical Expressions in AnnotationsAdding LinesAdding Line Segments and ArrowsAdding a Shaded RectangleHighlighting an ItemAdding Error BarsAdding Annotations to Individual Facets
8. Axes
Swapping X- and Y-AxesSetting the Range of a Continuous AxisReversing a Continuous AxisChanging the Order of Items on a Categorical AxisSetting the Scaling Ratio of the X- and Y-AxesSetting the Positions of Tick MarksRemoving Tick Marks and LabelsChanging the Text of Tick LabelsChanging the Appearance of Tick LabelsChanging the Text of Axis LabelsRemoving Axis LabelsChanging the Appearance of Axis LabelsShowing Lines Along the AxesUsing a Logarithmic AxisAdding Ticks for a Logarithmic AxisMaking a Circular GraphUsing Dates on an AxisUsing Relative Times on an Axis

9. Controlling the Overall Appearance of Graphs
Setting the Title of a GraphChanging the Appearance of TextUsing ThemesChanging the Appearance of Theme ElementsCreating Your Own ThemesHiding Grid Lines
10. Legends
Removing the LegendChanging the Position of a LegendChanging the Order of Items in a LegendReversing the Order of Items in a LegendChanging a Legend TitleChanging the Appearance of a Legend TitleRemoving a Legend TitleChanging the Labels in a LegendChanging the Appearance of Legend LabelsUsing Labels with Multiple Lines of Text
11. Facets
Splitting Data into Subplots with FacetsUsing Facets with Different AxesChanging the Text of Facet LabelsChanging the Appearance of Facet Labels and Headers
12. Using Colors in Plots
Setting the Colors of ObjectsMapping Variables to ColorsUsing a Different Palette for a Discrete VariableUsing a Manually Defined Palette for a Discrete VariableUsing a Colorblind-Friendly PaletteUsing a Manually Defined Palette for a Continuous VariableColoring a Shaded Region Based on Value
13. Miscellaneous Graphs
Making a Correlation MatrixPlotting a FunctionShading a Subregion Under a Function CurveCreating a Network GraphUsing Text Labels in a Network GraphCreating a Heat MapCreating a Three-Dimensional Scatter PlotAdding a Prediction Surface to a Three-Dimensional PlotSaving a Three-Dimensional PlotAnimating a Three-Dimensional PlotCreating a DendrogramCreating a Vector FieldCreating a QQ PlotCreating a Graph of an Empirical Cumulative Distribution FunctionCreating a Mosaic PlotCreating a Pie ChartCreating a MapCreating a Choropleth MapMaking a Map with a Clean BackgroundCreating a Map from a Shapefile
14. Output for Presentation
Outputting to PDF Vector FilesOutputting to SVG Vector FilesOutputting to WMF Vector FilesEditing a Vector Output FileOutputting to Bitmap (PNG/TIFF) FilesUsing Fonts in PDF FilesUsing Fonts in Windows Bitmap or Screen Output
15. Getting Your Data into Shape
Creating a Data FrameGetting Information About a Data StructureAdding a Column to a Data FrameDeleting a Column from a Data FrameRenaming Columns in a Data FrameReordering Columns in a Data FrameGetting a Subset of a Data FrameChanging the Order of Factor LevelsChanging the Order of Factor Levels Based on Data ValuesChanging the Names of Factor LevelsRemoving Unused Levels from a FactorChanging the Names of Items in a Character VectorRecoding a Categorical Variable to Another Categorical VariableRecoding a Continuous Variable to a Categorical VariableTransforming VariablesTransforming Variables by GroupSummarizing Data by GroupsSummarizing Data with Standard Errors and Confidence IntervalsConverting Data from Wide to LongConverting Data from Long to WideConverting a Time Series Object to Times and Values
A. Introduction to ggplot2
Background
Index
About the Author
Colophon
Copyright

Overview

This practical guide provides more than 150 recipes to help you generate high-quality graphs quickly, without having to comb through all the details of R’s graphing systems. Each recipe tackles a specific problem with a solution you can apply to your own project, and includes a discussion of how and why the recipe works.

Most of the recipes use the ggplot2 package, a powerful and flexible way to make graphs in R. If you have a basic understanding of the R language, you’re ready to get started.

Use R’s default graphics for quick exploration of data
Create a variety of bar graphs, line graphs, and scatter plots
Summarize data distributions with histograms, density curves, box plots, and other examples
Provide annotations to help viewers interpret data
Control the overall appearance of graphics
Render data groups alongside each other for easy comparison
Use colors in plots
Create network graphs, heat maps, and 3D scatter plots
Structure data for graphing

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