R provides a wide range of statistical tools (models linear and non-linear , statistical tests , analysis of time series , algorithms of classification and clustering , etc.) and graphic. Like S-Plus, it's a programming language, allowing users to extend it by defining your own functions. In fact, most of the functions of R are written in the same R, although algorithms for computationally demanding is possible to develop libraries in C , C++ or Fortran that are loaded dynamically. Advanced users can also manipulate R objects directly from code developed in C. R also can spread through packages developed by its community of users. Another feature of R is its graphical capability, which allows you to generate high-quality graphics. The graphics package in the Basic module of R allows a great variety of graphics. It is possible to represent functions, plane curves in parametric, polar, implicit, and explicit coordinates and surfaces. There are several graphics to low level commands that allow you to add certain elements, such as points, lines, texts, legends, titles, axes, boxes and other additional elements to the existing graphics in R. Additionally R performs statistical graphics of all kinds.
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