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 Ras 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, youare ready to get started. Use Ras 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 graphingHigher values for the red channel make it more red, and lower values make it more cyan. The same is true for the pairs green and magenta, and blue and yellow. See Also A chart of RGB color codes. 12.5. Using a Colorblind-Friendly Paletteanbsp;...
|Title||:||R Graphics Cookbook|
|Publisher||:||"O'Reilly Media, Inc." - 2012-12-06|