R Graphics Cookbook

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Overview

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 ...

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R Graphics Cookbook

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Overview

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: 9781449316952
  • Publisher: O'Reilly Media, Incorporated
  • Publication date: 1/2/2013
  • Edition number: 1
  • Pages: 416
  • Sales rank: 365,024
  • Product dimensions: 7.00 (w) x 9.10 (h) x 0.70 (d)

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

  • Preface
  • Chapter 1: R Basics
  • Chapter 2: Quickly Exploring Data
  • Chapter 3: Bar Graphs
  • Chapter 4: Line Graphs
  • Chapter 5: Scatter Plots
  • Chapter 6: Summarized Data Distributions
  • Chapter 7: Annotations
  • Chapter 8: Axes
  • Chapter 9: Controlling the Overall Appearance of Graphs
  • Chapter 10: Legends
  • Chapter 11: Facets
  • Chapter 12: Using Colors in Plots
  • Chapter 13: Miscellaneous Graphs
  • Chapter 14: Output for Presentation
  • Chapter 15: Getting Your Data into Shape
  • Introduction to ggplot2
  • Colophon

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Sort by: Showing 1 Customer Reviews
  • 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.

    0 out of 1 people found this review helpful.

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