R - Tutorial
R is a free and open-source programming language and software environment for statistical computing and graphics. The R language is widely used among statisticians and data miners for developing statistical software and data analysis. It compiles and runs on a wide variety of UNIX platforms, Windows and MacOS. R was created by Ross Ihaka and Robert Gentleman at the University of Auckland, New Zealand, and is currently developed by the R Development Core Team.
This tutorial is intended for software programmers, statisticians and data miners interested in studying basic and advanced concepts of R. This tutorial covers all topics of R which includes data types, operators, strings, control statements, data interfaces, charts, graphs & statistical models. We believe in learning by examples, therefore, each topic is explained with lots of examples that makes you learn R in a very easy way. Along with this, almost all examples can be executed online which provides better understanding of the language and helps you to learn the language faster. The classical "Hello World" example is mentioned below for the illustration purpose:
# Hello World Example print('Hello World!.')
The output of the above code will be:
 "Hello World!."
A prior exposure of any programming language would be an added advantage while following this tutorial but it is designed in such a way that anyone can start from scratch.