Malte Grosser is a business mathematician from Hamburg, who has been programming in R regularly since the beginning of his career. He is currently finishing his PhD on machine learning for stroke outcome prediction and develops solutions in business as a data scientist.

Henning Bumann is a psychologist and statistician who enjoys making sense of data and is motivated to build data-driven solutions that are beautiful and meaningful. He prefers free programming tools to support effective and transparent collaboration.

Hadley Wickham is Chief Scientist at RStudio, an Adjunct Professor at Stanford University and the University of Auckland, and a member of the R Foundation. He is the lead developer of the tidyverse, a collection of R packages, including ggplot2 and dplyr, designed to support data science.

Part I Foundations
2. Names and values
3. Vectors
4. Subsetting
5. Control Flow
6. Functions
7. Environments
8. Conditions

Part II Funtional Programming
9. Functionals
10. Function Factories
11. Function Operators

Part III Object oriented programming13. S3
14. R6
15. S4

Part IV Metaprogramming18. Expressions
19. Quasiquotation
20. Evaluation
21. Translating R Code

Part V Techniques23. Measuring Performance
24. Improving Performance
25. Rewriting R code in C++