![]() This book helps you understand the theory that underpins ggplot2, and will help you create new types of graphics specifically tailored to your needs. It describes the theoretical underpinnings of ggplot2 and shows you how all the pieces fit together. If you’ve mastered the basics and want to learn more, read ggplot2: Elegant Graphics for Data Analysis. Not all programming fonts support this but many modern ones do. There just choose a Bold font variant (although Medium or SemiBold set will probably work better). ![]() You can set the Editor Font under Preferences Appearance. It provides a set of recipes to solve common graphics problems. I can change the size of the font but Rstudio doesn't have font face option. If you want to dive into making common graphics as quickly as possible, I recommend The R Graphics Cookbook by Winston Chang. If you’d like to follow a webinar, try Plotting Anything with ggplot2 by Thomas Lin Pedersen. ![]() Now you should have the latest versions of R and RStudio on your computer. Then, quit the RStudio program, go to the RStudio website, and download and install the latest version. If you’d like to take an online course, try Data Visualization in R With ggplot2 by Kara Woo. If you want to update to the latest version of RStudio, hover over Help on the top menu bar of your Mac, and click Check for Updates. ![]() R for Data Science is designed to give you a comprehensive introduction to the tidyverse, and these two chapters will get you up to speed with the essentials of ggplot2 as quickly as possible. The Data Visualisation and Graphics for communication chapters in R for Data Science. Currently, there are three good places to start: If you are new to ggplot2 you are better off starting with a systematic introduction, rather than trying to learn from reading individual documentation pages.
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