R Programming Tutorial

R is a powerful tool for statistics, graphics, and data science. It 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.

  1. 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 core team. The current R is the result of a collaborative effort with contributions from all over the world.
  2. R is the successor of 'S' programming language and its very similar to its appreance.
  3. R allows integration with other programming language like Python, C, C++, Java, etc.

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