R Programming

 Features of R 

1) R is a well-developed, simple and effective programming language which includes decision making , flow control, recursive, functions input and output methods

2) R has an effective data handling and storage facility which is important for statistical analysis.

3) R Provides a variety of operators for calculations on arrays, lists, vectors and matrices.

4) R provides a large, coherent and integrated collection of packages and tools for data analysis including mathematical symbols. Dynamic and interactive graphics are available through additional packages 

5) R and its libraries implement a wide variety of statistical and graphical techniques, including  linear and non linear modelling, classical statistical tests, time - series analysis, classification,clustering and others

6) R is easily extensible through function and extensions. R community is noted for its active contribution in terms of packages. For computationally intensive tasks, C, C++ and Fortran code van be linked and called at run time. Advanced users can write C/C++, Java , .NET or Python code to manipulate R objects directly

7) Since R was  inherited from a language called S , R has stronger objective-oriented programming facilities than  most statistical computation languages 

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