Description of R programming language functions

1. Functions in R Programming Language
A good functions allows you to define a reusable block of code that can be executed many times
within your program.
Functions can be named and called repeatedly or can be run anonymously in place (similar to
commun functions in python).
Developing full understanding of R functions requires understanding of environments. Environments
are simply a method to handle objects. A good example of conditions in action is that you simply can
use a redundant variable name inside a function, that won’t be impacted if the bigger runtime
already has the same adjustable. Additionally, if a function calls a variable not described within the
functionality it is going to check the higher level atmosphere for that adjustable.
Syntax
In R, a function definition has the following features:
1. The keyword function
2. a function name
3. input parameters (optional)
4. some block of code to execute
5. a return statement (optional)
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Functions are blocks of code that can be reused simply by calling the function. This enables simple,
elegant code reuse without explicitly re-writing sections of code. This makes code both more
readable, makes for easier debugging, and limits typing errors.
Functions in R are created using the function keyword, along with a function name and function
parameters inside parentheses.
The return() function can be used by the function to return a value, and is typically used to force
early termination of a function with a returned value. Alternatively, the function will return the final
printed value.