More specifically, this chapter introduces additional data structures (beyond vectors):
Important concepts and contents include:
- defining different data structures (from vectors to matrices, data frames, and lists);
- accessing and changing data structures by indexing or subsetting.
Recommended readings for this chapter include:
Before reading, please take some time to reflect upon the following questions:
In which forms can variables of different types be stored?
Which differences exist between a (linear) vector and a (rectangular) matrix or table?
Which properties of a vector are too limited for representing a real-world data?