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What are the differences between R and S?

April 26, 2017differences

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What are the differences between R and S?

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, for further details.The core of R is an interpreted computer language which allows branching and looping as well as modular programming using functions. Most of the user-visible functions in R are written in R. It is possible for the user to interface to procedures written in the C, C++, or FORTRAN languages for efficiency. The R distribution contains functionality for a large number of statistical procedures. Among these are: linear and generalized linear models, nonlinear regression models, time series analysis, classical parametric and nonparametric tests, clustering and smoothing. There is also a large set of functions which provide a flexible graphical environment for creating various kinds of data presentations. Additional modules (“add-on packages”) are available for a variety of specific purposes (seeR Add-On Packages).R was initially written byRoss IhakaandRobert Gentlemanat the Department of Statistics of the University of Auckland in Auckland, New Zealand.

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We can regard S as a language with three current implementations or “engines”, the “old S engine” (S version 3;

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Given this understanding, asking for “the differences between R and S” really amounts to asking for the specifics of the R implementation of the S language, i.e., the difference between the R and S _engines_. For the remainder of this section, “S” refers to the S engines and not the S language.