Statistical Analysis with R

The digital world we live in has given companies and people access to staggering amounts of data, and anyone who can make use of that to drive valuable insights stands to benefit. The ability to work with large amounts of data is becoming a standard requirement for countless jobs across multiple industries.

R, probably the most well-known language for data analysis, has been used for years due to its robust statistical functionality, outstanding graphing ability, and extensibility through packages.

This interactive module will get us up to speed with R and assumes no prior knowledge of it. We'll start with the very basics and work our way up to advanced concepts like exception handling. By the time we're done, we'll be able to write detailed, useful code in R.

Learn R from Scratch

The simplest kind of loop in the R language is the `while` loop. 

It is simply translated as:
_"if the given condition is satisfied then execute the statements in the `while` block and if the condition is not satisfied break the loop (which means the block of code in the curly brackets `{ }` will not be executed)_.

# Syntax of a `while` loop
The syntax for `while` loop in R:
```r
while(condition)
{
  statements
}
```
Let's take an example of `while` loop.

In this lesson, we will learn all about the while loop in R language.

Getting Started

Variables

Exploring R Objects

R Operators and Notation

Conditional Statements

Loops

Functions

Input/Output

Exception Handling

Classes

Fun Challenges

Conclusion

while Loops

Syntax of a `while` loop