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R is a language and environment for statistical computing and graphics. It is similar to S, which was developed at Bell Laboratories by John Chambers et al. It provides a wide variety of statistical and graphical techniques (linear and nonlinear modelling, statistical tests, time series analysis, classification, clustering, etc.). R is designed as a true computer language with control-flow constructions for iteration and alternation, and it allows users to add additional functionality by defining new functions. For computationally intensive tasks, Fortran and C code can be linked and called at run time.

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2004-10-06 20:50 Back to release list
2.0.0

Many things have changed since 1.0. The R language has acquired namespaces, exception handling constructs, formal methods and classes, much improved garbage collection, generalized I/O via connection objects, and considerable improvements in the graphics area. The user workspace has been reorganized, and so has the set of packages that ship with R. Several "recommended packages" deemed indispensable in a statistical system are bundled. In addition, there has been a large number of more specific new functions, tweaks, and bugfixes.
Tags: Major feature enhancements

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