R is a powerful tool for statistics, graphics, and data science. In this R programming tutorial, we will cover topics of R programming language. R is used by tens of thousands of people daily to perform serious statistical analysis and data science work. It is a free, open-source system.
The design of R was heavily influenced by two existing languages: Becker, Chambers and Wilks’ S and Sussman’s Scheme. R was initially written by Ross Ihaka and Robert Gentleman at the Department of Statistics of the University of Auckland in New Zealand. Subsequently, a large group of individuals contributed to R by sending code and bug reports. John Chambers graciously contributed advice and encouragement in the early days of R, and later became a member of the care team. The current R is the result of a collaborative effort with contributions from all over the world.
R is the successor of ‘S’ programming language and its very similar to its appearance.
R allows integration with another programming language like Python, C, C++, Java, etc.
We will cover more topics in the R tutorial. This R language tutorial is written to cover most of the topics in an easy to understand way.