R Programming

“R is an interpreted computer programming language which was created by Ross Ihaka and Robert Gentleman at the University of Auckland, New Zealand.” R is now developed by the R Development Core Team.

In addition, it includes a software environment for data modeling, reporting, graphical display, and statistical analysis. Lexical scoping semantics is paired with the S programming language, which is implemented in R.

In addition to branching and looping, R also enables function-based modular programming. To increase efficiency, R enables integration with procedures written in C, C++,.Net, Python, and FORTRAN.

R is currently one of the most essential tools used by statisticians, academics, data analysts, and marketers for data retrieval, cleaning, analysis, visualization, and presentation.

R is a domain-specific programming language which aims to do data analysis. It has some unique features which make it very powerful. The most important arguably being the notation of vectors. These vectors allow us to perform a complex operation on a set of values in a single command.

There are the following features of R programming:

• It is a simple and effective programming language which has been well developed.
• It is data analysis software.
• It is a well-designed, easy, and effective language which has the concepts of user-defined, looping, conditional, and various I/O facilities.
• It has a consistent and incorporated set of tools which are used for data analysis.
• For different types of calculation on arrays, lists and vectors, R contains a suite of operators.
• It provides effective data handling and storage facility.
• It is an open-source, powerful, and highly extensible software.
• It provides highly extensible graphical techniques.
• It allows us to perform multiple calculations using vectors.
• R is an interpreted language.