R Graphics Cookbook

Sunday, May 4, 2014

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 ggDescription2 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 Descriptions
* Summarize data distributions with histograms, density curves, box Descriptions, 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 Descriptions
* Create network graphs, heat maps, and 3D scatter Descriptions
* Structure data for graphing

R Graphics Cookbook


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