Appendix A. Understanding ggplot2
Most of the recipes in this book involve the ggplot2 package, which was originally created by Hadley Wickham. It is not a part of “base” R, but it has attracted many users in the R community because of its versatility, clear and consistent interface, and beautiful output.
ggplot2 takes a different approach to graphics than other plotting packages in R. It gets its name from Leland Wilkinson’s grammar of graphics, which provides a formal, structured perspective on how to describe data graphics.
Even though this book deals largely with ggplot2, I don’t mean to say that it’s the be-all and end-all of graphics in R. For example, I sometimes find it faster and easier to inspect and explore data with R’s base graphics, especially when the data isn’t already structured properly for use with ggplot2. There are some things that ggplot2 can’t do, or can’t do as well as other plotting packages. There are other things that ggplot2 can do, but that specialized packages are better suited to handling. For most purposes, though, I believe that ggplot2 gives the best return on time invested, and it provides beautiful, publication-ready results.
Another excellent package for general-purpose plots is lattice, by Deepyan Sarkar, which is an implementation of trellis graphics. It is included as part of the base installation of R.
If you want a deeper understanding of ggplot2, read on!
In a data graphic, there is a mapping (or correspondence) from properties ...