R Graphics Cookbook [NOOK Book]


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 ...

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R Graphics Cookbook

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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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Product Details

  • ISBN-13: 9781449363109
  • Publisher: O'Reilly Media, Incorporated
  • Publication date: 12/6/2012
  • Sold by: Barnes & Noble
  • Format: eBook
  • Edition number: 1
  • Pages: 416
  • Sales rank: 285,137
  • File size: 20 MB
  • Note: This product may take a few minutes to download.

Meet the Author

Winston Chang is a software engineer at RStudio, where he works on data visualization and software development tools for R. He holds a Ph.D. in Psychology from Northwestern University. During his time as a graduate student, he created a website called "Cookbook for R", which contains recipes for handling common tasks in R. In previous lives, he was a philosophy graduate student and a computer programmer.

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Table of Contents

Software and Platform Notes;
Conventions Used in This Book;
Using Code Examples;
Safari® Books Online;
How to Contact Us;
Chapter 1: R Basics;
1.1 Installing a Package;
1.2 Loading a Package;
1.3 Loading a Delimited Text Data File;
1.4 Loading Data from an Excel File;
1.5 Loading Data from an SPSS File;
Chapter 2: Quickly Exploring Data;
2.1 Creating a Scatter Plot;
2.2 Creating a Line Graph;
2.3 Creating a Bar Graph;
2.4 Creating a Histogram;
2.5 Creating a Box Plot;
2.6 Plotting a Function Curve;
Chapter 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;
Chapter 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;
Chapter 5: Scatter Plots;
5.1 Making a Basic Scatter Plot;
5.2 Grouping Data Points by a Variable Using Shape or Color;
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;
Chapter 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;
Chapter 7: Annotations;
7.1 Adding Text Annotations;
7.2 Using Mathematical Expressions in Annotations;
7.3 Adding Lines;
7.4 Adding Line Segments and Arrows;
7.5 Adding a Shaded Rectangle;
7.6 Highlighting an Item;
7.7 Adding Error Bars;
7.8 Adding Annotations to Individual Facets;
Chapter 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 Graph;
8.17 Using Dates on an Axis;
8.18 Using Relative Times on an Axis;
Chapter 9: Controlling the Overall Appearance of Graphs;
9.1 Setting the Title of a Graph;
9.2 Changing the Appearance of Text;
9.3 Using Themes;
9.4 Changing the Appearance of Theme Elements;
9.5 Creating Your Own Themes;
9.6 Hiding Grid Lines;
Chapter 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;
Chapter 11: Facets;
11.1 Splitting Data into Subplots with Facets;
11.2 Using Facets with Different Axes;
11.3 Changing the Text of Facet Labels;
11.4 Changing the Appearance of Facet Labels and Headers;
Chapter 12: Using Colors in Plots;
12.1 Setting the Colors of Objects;
12.2 Mapping Variables to Colors;
12.3 Using a Different Palette for a Discrete Variable;
12.4 Using a Manually Defined Palette for a Discrete Variable;
12.5 Using a Colorblind-Friendly Palette;
12.6 Using a Manually Defined Palette for a Continuous Variable;
12.7 Coloring a Shaded Region Based on Value;
Chapter 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;
Chapter 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;
Chapter 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 Transforming Variables;
15.16 Transforming Variables by Group;
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;
Introduction to ggplot2;

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  • Anonymous

    Posted July 19, 2013

    Cant open

    I cant review the quality of the text because the book wont open. I have to force quit.

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