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 for and while