Book description
This O’Reilly cookbook provides more than 150 recipes to help scientists, engineers, programmers, and data analysts 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 in this second edition use the updated version of the ggplot2 package, a powerful and flexible way to make graphs in R. You’ll also find expanded content about the visual design of graphics. If you have at least a basic understanding of the R language, you’re ready to get started with this easy-to-use reference.
- 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 more
- Provide annotations to help viewers interpret data
- Control the overall appearance of graphics
- Explore options for using colors in plots
- Create network graphs, heat maps, and 3D scatter plots
- Get your data into shape using packages from the tidyverse
Publisher resources
Table of contents
- Preface
- 1. R Basics
- 2. Quickly Exploring Data
-
3. Bar Graphs
- 3.1. Making a Basic Bar Graph
- 3.2. Grouping Bars Together
- 3.3. Making a Bar Graph of Counts
- 3.4. Using Colors in a Bar Graph
- 3.5. Coloring Negative and Positive Bars Differently
- 3.6. Adjusting Bar Width and Spacing
- 3.7. Making a Stacked Bar Graph
- 3.8. Making a Proportional Stacked Bar Graph
- 3.9. Adding Labels to a Bar Graph
- 3.10. Making a Cleveland Dot Plot
-
4. Line Graphs
- 4.1. Making a Basic Line Graph
- 4.2. Adding Points to a Line Graph
- 4.3. Making a Line Graph with Multiple Lines
- 4.4. Changing the Appearance of Lines
- 4.5. Changing the Appearance of Points
- 4.6. Making a Graph with a Shaded Area
- 4.7. Making a Stacked Area Graph
- 4.8. Making a Proportional Stacked Area Graph
- 4.9. Adding a Confidence Region
-
5. Scatter Plots
- 5.1. Making a Basic Scatter Plot
- 5.2. Grouping Points Together Using Shapes or Colors
- 5.3. Using Different Point Shapes
- 5.4. Mapping a Continuous Variable to Color or Size
- 5.5. Dealing with Overplotting
- 5.6. Adding Fitted Regression Model Lines
- 5.7. Adding Fitted Lines from an Existing Model
- 5.8. Adding Fitted Lines from Multiple Existing Models
- 5.9. Adding Annotations with Model Coefficients
- 5.10. Adding Marginal Rugs to a Scatter Plot
- 5.11. Labeling Points in a Scatter Plot
- 5.12. Creating a Balloon Plot
- 5.13. Making a Scatter Plot Matrix
-
6. Summarized Data Distributions
- 6.1. Making a Basic Histogram
- 6.2. Making Multiple Histograms from Grouped Data
- 6.3. Making a Density Curve
- 6.4. Making Multiple Density Curves from Grouped Data
- 6.5. Making a Frequency Polygon
- 6.6. Making a Basic Box Plot
- 6.7. Adding Notches to a Box Plot
- 6.8. Adding Means to a Box Plot
- 6.9. Making a Violin Plot
- 6.10. Making a Dot Plot
- 6.11. Making Multiple Dot Plots for Grouped Data
- 6.12. Making a Density Plot of Two-Dimensional Data
- 7. Annotations
-
8. Axes
- 8.1. Swapping X- and Y-Axes
- 8.2. Setting the Range of a Continuous Axis
- 8.3. Reversing a Continuous Axis
- 8.4. Changing the Order of Items on a Categorical Axis
- 8.5. Setting the Scaling Ratio of the X- and Y-Axes
- 8.6. Setting the Positions of Tick Marks
- 8.7. Removing Tick Marks and Labels
- 8.8. Changing the Text of Tick Labels
- 8.9. Changing the Appearance of Tick Labels
- 8.10. Changing the Text of Axis Labels
- 8.11. Removing Axis Labels
- 8.12. Changing the Appearance of Axis Labels
- 8.13. Showing Lines Along the Axes
- 8.14. Using a Logarithmic Axis
- 8.15. Adding Ticks for a Logarithmic Axis
- 8.16. Making a Circular Plot
- 8.17. Using Dates on an Axis
- 8.18. Using Relative Times on an Axis
- 9. Controlling the Overall Appearance of Graphs
-
10. Legends
- 10.1. Removing the Legend
- 10.2. Changing the Position of a Legend
- 10.3. Changing the Order of Items in a Legend
- 10.4. Reversing the Order of Items in a Legend
- 10.5. Changing a Legend Title
- 10.6. Changing the Appearance of a Legend Title
- 10.7. Removing a Legend Title
- 10.8. Changing the Labels in a Legend
- 10.9. Changing the Appearance of Legend Labels
- 10.10. Using Labels with Multiple Lines of Text
- 11. Facets
-
12. Using Colors in Plots
- 12.1. Setting the Colors of Objects
- 12.2. Representing Variables with Colors
- 12.3. Using a Colorblind-Friendly Palette
- 12.4. Using a Different Palette for a Discrete Variable
- 12.5. Using a Manually Defined Palette for a Discrete Variable
- 12.6. Using a Manually Defined Palette for a Continuous Variable
- 12.7. Coloring a Shaded Region Based on Value
-
13. Miscellaneous Graphs
- 13.1. Making a Correlation Matrix
- 13.2. Plotting a Function
- 13.3. Shading a Subregion Under a Function Curve
- 13.4. Creating a Network Graph
- 13.5. Using Text Labels in a Network Graph
- 13.6. Creating a Heat Map
- 13.7. Creating a Three-Dimensional Scatter Plot
- 13.8. Adding a Prediction Surface to a Three-Dimensional Plot
- 13.9. Saving a Three-Dimensional Plot
- 13.10. Animating a Three-Dimensional Plot
- 13.11. Creating a Dendrogram
- 13.12. Creating a Vector Field
- 13.13. Creating a QQ Plot
- 13.14. Creating a Graph of an Empirical Cumulative Distribution Function
- 13.15. Creating a Mosaic Plot
- 13.16. Creating a Pie Chart
- 13.17. Creating a Map
- 13.18. Creating a Choropleth Map
- 13.19. Making a Map with a Clean Background
- 13.20. Creating a Map from a Shapefile
-
14. Output for Presentation
- 14.1. Outputting to PDF Vector Files
- 14.2. Outputting to SVG Vector Files
- 14.3. Outputting to WMF Vector Files
- 14.4. Editing a Vector Output File
- 14.5. Outputting to Bitmap (PNG/TIFF) Files
- 14.6. Using Fonts in PDF Files
- 14.7. Using Fonts in Windows Bitmap or Screen Output
- 14.8. Combining Several Plots into the Same Graphic
-
15. Getting Your Data into Shape
- 15.1. Creating a Data Frame
- 15.2. Getting Information About a Data Structure
- 15.3. Adding a Column to a Data Frame
- 15.4. Deleting a Column from a Data Frame
- 15.5. Renaming Columns in a Data Frame
- 15.6. Reordering Columns in a Data Frame
- 15.7. Getting a Subset of a Data Frame
- 15.8. Changing the Order of Factor Levels
- 15.9. Changing the Order of Factor Levels Based on Data Values
- 15.10. Changing the Names of Factor Levels
- 15.11. Removing Unused Levels from a Factor
- 15.12. Changing the Names of Items in a Character Vector
- 15.13. Recoding a Categorical Variable to Another Categorical Variable
- 15.14. Recoding a Continuous Variable to a Categorical Variable
- 15.15. Calculating New Columns from Existing Columns
- 15.16. Calculating New Columns by Groups
- 15.17. Summarizing Data by Groups
- 15.18. Summarizing Data with Standard Errors and Confidence Intervals
- 15.19. Converting Data from Wide to Long
- 15.20. Converting Data from Long to Wide
- 15.21. Converting a Time Series Object to Times and Values
- Understanding ggplot2
- Index
Product information
- Title: R Graphics Cookbook, 2nd Edition
- Author(s):
- Release date: November 2018
- Publisher(s): O'Reilly Media, Inc.
- ISBN: 9781491978603
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