Summary
Now let us recap what we have learned so far in this chapter:
- How it is very important for analysts pursuing their career in financial analytics to learn R
- Installation of R and its packages
- The basic objects in R are character, numeric, integer, complex, and logical
- Commonly used data types in R are lists, matrices, arrays, factors, and DataFrames
- Reading files from external data files such as CSV and XLSX, and particularly from online sources and databases in R
- Writing files to CSV and XLSX from R
- Writing different types of expression, such as constant, arithmetic, logical, symbols, assignments, and so on
- Write user-defined functions
- Ways of calling of user defined functions and inbuilt functions
- Running R programs from the console window and by sourcing saved files
- The use of conditional decision-making by using if and else statements
- The use of loops such as
forandwhile
