R basics -- Quickly exploring data -- Bar graphs -- Line graphs -- Scatter plots -- Summarized data distributions -- Annotations -- Axes -- Controlling the overall appearance of graphs -- Legends -- Facets -- Using colors in plots -- Miscellaneous graphs -- Output for presentation -- Getting your data into shape -- Appendix: Understanding ggplot2.
Summary:
This O'Reilly cookbook provides more than 150 recipes to help scientists, engineers, programmers, and data analysts 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 in this second edition use the updated version of the ggplot2 package, a powerful and flexible way to make graphs in R. You'll also find expanded content about the visual design of graphics. If you have at least a basic understanding of the R language, you're ready to get started with this easy-to-use reference. 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 more. Provide annotations to help viewers interpret dataControl the overall appearance of graphics. Explore options for using colors in plots. Create network graphs, heat maps, and 3D scatter plots. Get your data into shape using packages from the tidyverse. Source: Publisher information.
This resource is supported by the Institute of Museum and Library Services under the provisions of the Library Services and Technology Act as administered by State Library of Iowa.