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2015-11-17

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

  • Chapter 1 R Basics
    • Installing a Package
    • Loading a Package
    • Loading a Delimited Text Data File
    • Loading Data from an Excel File
    • Loading Data from an SPSS File
  • Chapter 2 Quickly Exploring Data
    • Creating a Scatter Plot
    • Creating a Line Graph
    • Creating a Bar Graph
    • Creating a Histogram
    • Creating a Box Plot
    • Plotting a Function Curve
  • Chapter 3 Bar Graphs
    • Making a Basic Bar Graph
    • Grouping Bars Together
    • Making a Bar Graph of Counts
    • Using Colors in a Bar Graph
    • Coloring Negative and Positive Bars Differently
    • Adjusting Bar Width and Spacing
    • Making a Stacked Bar Graph
    • Making a Proportional Stacked Bar Graph
    • Adding Labels to a Bar Graph
    • Making a Cleveland Dot Plot
  • Chapter 4 Line Graphs
    • Making a Basic Line Graph
    • Adding Points to a Line Graph
    • Making a Line Graph with Multiple Lines
    • Changing the Appearance of Lines
    • Changing the Appearance of Points
    • Making a Graph with a Shaded Area
    • Making a Stacked Area Graph
    • Making a Proportional Stacked Area Graph
    • Adding a Confidence Region
  • Chapter 5 Scatter Plots
    • Making a Basic Scatter Plot
    • Grouping Data Points by a Variable Using Shape or Color
    • Using Different Point Shapes
    • Mapping a Continuous Variable to Color or Size
    • Dealing with Overplotting
    • Adding Fitted Regression Model Lines
    • Adding Fitted Lines from an Existing Model
    • Adding Fitted Lines from Multiple Existing Models
    • Adding Annotations with Model Coefficients
    • Adding Marginal Rugs to a Scatter Plot
    • Labeling Points in a Scatter Plot
    • Creating a Balloon Plot
    • Making a Scatter Plot Matrix
  • Chapter 6 Summarized Data Distributions
    • Making a Basic Histogram
    • Making Multiple Histograms from Grouped Data
    • Making a Density Curve
    • Making Multiple Density Curves from Grouped Data
    • Making a Frequency Polygon
    • Making a Basic Box Plot
    • Adding Notches to a Box Plot
    • Adding Means to a Box Plot
    • Making a Violin Plot
    • Making a Dot Plot
    • Making Multiple Dot Plots for Grouped Data
    • Making a Density Plot of Two-Dimensional Data
  • Chapter 7 Annotations
    • Adding Text Annotations
    • Using Mathematical Expressions in Annotations
    • Adding Lines
    • Adding Line Segments and Arrows
    • Adding a Shaded Rectangle
    • Highlighting an Item
    • Adding Error Bars
    • Adding Annotations to Individual Facets
  • Chapter 8 Axes
    • Swapping X- and Y-Axes
    • Setting the Range of a Continuous Axis
    • Reversing a Continuous Axis
    • Changing the Order of Items on a Categorical Axis
    • Setting the Scaling Ratio of the X- and Y-Axes
    • Setting the Positions of Tick Marks
    • Removing Tick Marks and Labels
    • Changing the Text of Tick Labels
    • Changing the Appearance of Tick Labels
    • Changing the Text of Axis Labels
    • Removing Axis Labels
    • Changing the Appearance of Axis Labels
    • Showing Lines Along the Axes
    • Using a Logarithmic Axis
    • Adding Ticks for a Logarithmic Axis
    • Making a Circular Graph
    • Using Dates on an Axis
    • Using Relative Times on an Axis
  • Chapter 9 Controlling the Overall Appearance of Graphs
    • Setting the Title of a Graph
    • Changing the Appearance of Text
    • Using Themes
    • Changing the Appearance of Theme Elements
    • Creating Your Own Themes
    • Hiding Grid Lines
  • Chapter 10 Legends
    • Removing the Legend
    • Changing the Position of a Legend
    • Changing the Order of Items in a Legend
    • Reversing the Order of Items in a Legend
    • Changing a Legend Title
    • Changing the Appearance of a Legend Title
    • Removing a Legend Title
    • Changing the Labels in a Legend
    • Changing the Appearance of Legend Labels
    • Using Labels with Multiple Lines of Text
  • Chapter 11 Facets
    • Splitting Data into Subplots with Facets
    • Using Facets with Different Axes
    • Changing the Text of Facet Labels
    • Changing the Appearance of Facet Labels and Headers
  • Chapter 12 Using Colors in Plots
    • Setting the Colors of Objects
    • Mapping Variables to Colors
    • Using a Different Palette for a Discrete Variable
    • Using a Manually Defined Palette for a Discrete Variable
    • Using a Colorblind-Friendly Palette
    • Using a Manually Defined Palette for a Continuous Variable
    • Coloring a Shaded Region Based on Value
  • Chapter 13 Miscellaneous Graphs
    • Making a Correlation Matrix
    • Plotting a Function
    • Shading a Subregion Under a Function Curve
    • Creating a Network Graph
    • Using Text Labels in a Network Graph
    • Creating a Heat Map
    • Creating a Three-Dimensional Scatter Plot
    • Adding a Prediction Surface to a Three-Dimensional Plot
    • Saving a Three-Dimensional Plot
    • Animating a Three-Dimensional Plot
    • Creating a Dendrogram
    • Creating a Vector Field
    • Creating a QQ Plot
    • Creating a Graph of an Empirical Cumulative Distribution Function
    • Creating a Mosaic Plot
    • Creating a Pie Chart
    • Creating a Map
    • Creating a Choropleth Map
    • Making a Map with a Clean Background
    • Creating a Map from a Shapefile
  • Chapter 14 Output for Presentation
    • Outputting to PDF Vector Files
    • Outputting to SVG Vector Files
    • Outputting to WMF Vector Files
    • Editing a Vector Output File
    • Outputting to Bitmap (PNG/TIFF) Files
    • Using Fonts in PDF Files
    • Using Fonts in Windows Bitmap or Screen Output
  • Chapter 15 Getting Your Data into Shape
    • Creating a Data Frame
    • Getting Information About a Data Structure
    • Adding a Column to a Data Frame
    • Deleting a Column from a Data Frame
    • Renaming Columns in a Data Frame
    • Reordering Columns in a Data Frame
    • Getting a Subset of a Data Frame
    • Changing the Order of Factor Levels
    • Changing the Order of Factor Levels Based on Data Values
    • Changing the Names of Factor Levels
    • Removing Unused Levels from a Factor
    • Changing the Names of Items in a Character Vector
    • Recoding a Categorical Variable to Another Categorical Variable
    • Recoding a Continuous Variable to a Categorical Variable
    • Transforming Variables
    • Transforming Variables by Group
    • Summarizing Data by Groups
    • Summarizing Data with Standard Errors and Confidence Intervals
    • Converting Data from Wide to Long
    • Converting Data from Long to Wide
    • Converting a Time Series Object to Times and Values

  • Appendix Introduction to ggplot2
    • Background
  • Colophon

R Graphics Cookbook.pdf
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2015-11-17 20:11:37
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