These include ggplot2: Elegant graphics for data analysis, R packages for people who are interested in package development, and Advanced R. This last one is the book which really demonstrated to me a lot of useful things about the inner workings of R as a programming language which I’ve subsequently used to write more complicated functions and programmes. Wickham has also just published another new book, Mastering Shiny, which is a guide to developing Shiny dashboards with R which I’m very much looking forward to reading.
There are also many excellent books which cover europe rcs data statistics and machine learning using R, of is An Introduction to Statistical Learning with Applications in R by James et al. I found it really helped me to understand both the theory behind and the practical uses of some very powerful machine learning algorithms, such as decision trees and support vector machines.
This is really just scratching the surface when it comes to explaining all of the things which you can learn about programming and data science without using anything more complicated than the Medieval technology of the printed book. Hopefully it has demonstrated what a useful tool reading books can be for anyone interested in learning more about these subjects.