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
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