R Graphics Cookbook. Practical Recipes for Visualizing Data Winston Chang

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Spis treści książki

• R Graphics Cookbook
• A Note Regarding Supplemental Files
• Preface
  • Recipes
  • Software and Platform Notes
  • Conventions Used in This Book
  • Using Code Examples
  • Safari Books Online
  • How to Contact Us
  • Acknowledgments
• 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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
• A. Introduction to ggplot2
  • Background
• Index
• About the Author
• Colophon
• Copyright

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