R is a dialect of the S language. It was created by Ross Ihaka and Robert Gentleman at the University of Auckland in the early 1990s as a free software implementation of S. R is a powerful statistical programming language that is used by statisticians, data miners, and other researchers for a wide variety of tasks, including data analysis, statistical modeling, and data visualization.
R is a dialect of S in the sense that it is a close implementation of the S language. However, there are some important differences between R and S. For example, R has a more object-oriented programming style than S, and it includes a number of new features that were not present in S.
Despite these differences, R is a very compatible language with S. Much of the code that was written for S can be run unaltered under R. This compatibility has made R a popular choice for users who are already familiar with S.
R is a free and open-source software, which means that it is available for free to anyone who wants to use it. This has made R a very popular language for statistical computing, and it is now one of the most widely used statistical programming languages in the world.
