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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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2003-04-17 09:35 Back to release list
1.7.0

This version features major changes to the methods/class area and uses namespaces much more widely than before. Several routines now use the faster and more modern LAPACK library. A bunch of new functions were added and an assortment of bugs were fixed.
Tags: Major feature enhancements

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