R is a functional programming (FP) language at its heart. This means it comes with a plethora of methods for creating and manipulating features. R, in particular, has what are referred to as first-class functions. You can assign functions to variables, store them in lists, transfer them as arguments to other functions, construct them within functions, and even return them as the product of a function, much like you can with vectors.

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Functions in R:

A function is a set of statements that work together to execute a single task. A function is an object since it allows the interpreter to transfer power to it as well as arguments that might be required for the function to complete its tasks. The function then completes the task and returns control as well as any return values that could have been stored in other objects to the interpreter.

The keyword function can be used to describe a function in R programming. The below are the different components/parts of a function:

• Function name

• Arguments

• Function Body

• Return Values

In R programming, there are three types of functions:

1. Primitive Functions: Since primitive functions are often used in C rather than R, their formals(), body(), and environment() are all NULL. Only the base bundle contains these features. Primitive functions are more difficult to write, but they are extremely effective.

2. Infix Functions: Infix functions are those with the function name sandwiched between the arguments, resulting in two arguments. :, ::, :::, @,$, *, /, +, -, >, >=,==, =,!=,!, &&, &, ||, |, -, and - are just a few of the built-in infix operators in R.

Replacement Functions: Replacement functions make on-the-fly changes to their arguments (changing an R object generally results in creating a copy). The name of a replacement function is often followed by <. They must contain arguments x and value, and return the changed object.

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