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Table of Contents
Preface; Contents; 1 Make a Plot with a Click; 1.1 The First Plot; 1.2 Apply Themes and Save to Multiplot; 1.2.1 Gray Theme; 1.2.2 Classic Theme; 1.2.3 Economist Theme; 1.2.4 Wall Street Journal(wsj) Theme; 1.3 Make a Multiplot; 1.3.1 Adjust of the Viewport; 1.3.2 Multiplot Examples; 2 Make a Plot by ggplot2; 2.1 The Grammar of Graphics; 2.1.1 The Components of Graphics; 2.1.2 Steps for Making a Plot with ggplot2; 2.1.3 Example 1: Salaries of Professors; 2.1.4 Example 2: The acs Data; 3 Show Data Distribution; 3.1 Goal; 3.2 Web-R's Way; 3.2.1 Step 1: Data Selection
3.2.2 Step 2: Making a Histogram3.2.3 Step 3: Colorize the Histogram; 3.2.4 Step 4: Making a Density Curve; 3.2.5 Step 5: Density Curve Overlaid on a Histogram; 3.2.6 Step 6: Use Line Instead of Density; 3.2.7 Step 7: Adjust the Amount of Smoothing; 3.2.8 Step 8: Add Transparent Shadow; 3.2.9 Step 9: Standard Method Using R Code; 3.2.10 Step 10: Making Multiple Density Curves by Group; 3.2.11 Step 11: Facets by Rows; 4 Scatter Plots(I); 4.1 Goal; 4.2 Web-R's Way; 4.2.1 Step 1: Make a Basic Scatter Plot; 4.2.2 Step 2: Grouping Points with Colors
4.2.3 Step 3: Change the Shape and Color of Points4.2.4 Step 4: Add Regression Line; 4.2.5 Step 5: Add Linear Regression; 4.2.6 Step 6: Facets by Column and Apply Theme; 4.3 Standard Method Using R Code; 4.4 The Shapes of Point in R; 5 Scatter Plot(II); 5.1 Goal; 5.2 Web-R's Way; 5.2.1 Step 1: Select Data; 5.2.2 Step 2: Scatter Plot with Regression Lines; 5.2.3 Step 3: Preprocessing of Data; 5.2.4 Step 4: Scatter Plot Between Age and Height; 5.2.5 Step 5: Jittering; 5.2.6 Step 6: Make a Box Plot; 5.2.7 Step 7: Options for Jittering; 6 Logistic Regression; 6.1 Goal; 6.2 Web-R's Way
6.2.1 Step 1: Select Data and Preprocessing6.2.2 Step 2: Logistic Regression; 6.3 Standard Method Using R Code; 7 Labelling Points in a Scatter Plot; 7.1 Goal; 7.2 Web-R's Way; 7.2.1 Step 1: Data Selection and Preprocessing; 7.2.2 Step 2: Make a Scatter Plot; 7.2.3 Step 3: Labelling the Points; 7.2.4 Step 4: Change the Position of Labels; 7.2.5 Step 5: Coloring the Points; 7.2.6 Step 6: Coloring the Points(2); 7.2.7 Step 7: Use geom_label() Function; 7.2.8 Step 8: Avoid Overlap; 7.2.9 Step 9: Change the Range of an Axis; 7.3 Standard Method Using R Code; 8 Making a 2D Density Plot; 8.1 Goal
8.2 Web-R's Way8.2.1 Step 1: Select Data; 8.2.2 Step 2: Read Help File for Data; 8.2.3 Step 3: Make a 2-Dimensional Density Plot; 8.2.4 Step 4: Mapping Density to the Fill Color; 8.2.5 Step 5: Mapping Density to the Transparency; 8.3 Standard Method Using R Code; 9 Drawing 2D Contours; 9.1 Goal; 9.2 Web-R's Way; 9.2.1 Step 1: Select Data; 9.2.2 Step 2: Draw 2D Contours; 9.2.3 Step 3: Adjust Options; 9.2.4 Step 4: Overlap the Two Sets of Contours; 9.3 Standard Method Using R Code; 9.4 3D Contour; 10 Balloon Plot; 10.1 Goal; 10.2 Web-R's Way; 10.2.1 Step 1: Enter the Data Name
3.2.2 Step 2: Making a Histogram3.2.3 Step 3: Colorize the Histogram; 3.2.4 Step 4: Making a Density Curve; 3.2.5 Step 5: Density Curve Overlaid on a Histogram; 3.2.6 Step 6: Use Line Instead of Density; 3.2.7 Step 7: Adjust the Amount of Smoothing; 3.2.8 Step 8: Add Transparent Shadow; 3.2.9 Step 9: Standard Method Using R Code; 3.2.10 Step 10: Making Multiple Density Curves by Group; 3.2.11 Step 11: Facets by Rows; 4 Scatter Plots(I); 4.1 Goal; 4.2 Web-R's Way; 4.2.1 Step 1: Make a Basic Scatter Plot; 4.2.2 Step 2: Grouping Points with Colors
4.2.3 Step 3: Change the Shape and Color of Points4.2.4 Step 4: Add Regression Line; 4.2.5 Step 5: Add Linear Regression; 4.2.6 Step 6: Facets by Column and Apply Theme; 4.3 Standard Method Using R Code; 4.4 The Shapes of Point in R; 5 Scatter Plot(II); 5.1 Goal; 5.2 Web-R's Way; 5.2.1 Step 1: Select Data; 5.2.2 Step 2: Scatter Plot with Regression Lines; 5.2.3 Step 3: Preprocessing of Data; 5.2.4 Step 4: Scatter Plot Between Age and Height; 5.2.5 Step 5: Jittering; 5.2.6 Step 6: Make a Box Plot; 5.2.7 Step 7: Options for Jittering; 6 Logistic Regression; 6.1 Goal; 6.2 Web-R's Way
6.2.1 Step 1: Select Data and Preprocessing6.2.2 Step 2: Logistic Regression; 6.3 Standard Method Using R Code; 7 Labelling Points in a Scatter Plot; 7.1 Goal; 7.2 Web-R's Way; 7.2.1 Step 1: Data Selection and Preprocessing; 7.2.2 Step 2: Make a Scatter Plot; 7.2.3 Step 3: Labelling the Points; 7.2.4 Step 4: Change the Position of Labels; 7.2.5 Step 5: Coloring the Points; 7.2.6 Step 6: Coloring the Points(2); 7.2.7 Step 7: Use geom_label() Function; 7.2.8 Step 8: Avoid Overlap; 7.2.9 Step 9: Change the Range of an Axis; 7.3 Standard Method Using R Code; 8 Making a 2D Density Plot; 8.1 Goal
8.2 Web-R's Way8.2.1 Step 1: Select Data; 8.2.2 Step 2: Read Help File for Data; 8.2.3 Step 3: Make a 2-Dimensional Density Plot; 8.2.4 Step 4: Mapping Density to the Fill Color; 8.2.5 Step 5: Mapping Density to the Transparency; 8.3 Standard Method Using R Code; 9 Drawing 2D Contours; 9.1 Goal; 9.2 Web-R's Way; 9.2.1 Step 1: Select Data; 9.2.2 Step 2: Draw 2D Contours; 9.2.3 Step 3: Adjust Options; 9.2.4 Step 4: Overlap the Two Sets of Contours; 9.3 Standard Method Using R Code; 9.4 3D Contour; 10 Balloon Plot; 10.1 Goal; 10.2 Web-R's Way; 10.2.1 Step 1: Enter the Data Name