R programming language

R Programming Language

R is a programming language and free software environment for statistical computing and graphics. It is widely used by statisticians and data miners for developing statistical software and data analysis. It has a strong graphical capability and is very popular among statisticians.

R programming language was developed in the early 1990s by Ross Ihaka and Robert Gentleman at the University of Auckland in New Zealand. It was built to extend the existing S programming language and provide a wider range of statistical techniques. It was designed to be an extensible and open-source language, allowing users to easily add their own functions and algorithms.

R is a scripting language, meaning that it allows for scripts to be created which can be executed without compiling. This makes R particularly user-friendly, since it is faster to write code and run it compared to a compiled language such as C++.

R is a high-level language, meaning that it is relatively easy to learn for anyone with a basic understanding of programming. It has a simple and flexible syntax which make it easy to read and debug. It also includes a rich collection of libraries and packages which contains a range of statistical and graphical functions.

R is an interpreted language, meaning that the code is translated line by line into machine code when it is executed. This makes it slower than compiled languages. Although this can be an issue in some applications, for most statistical applications, the slight decrease in speed is far outweighed by the ease of use and flexibility of the language.

R is free and open-source software, meaning that it is available free of charge and the source code can be modified by anyone to create new versions of the software. This makes R an attractive option for businesses and individuals who wish to use the language for their own projects.

R programming language is an essential tool for anyone looking to analyze data or build statistical models. It’s easy to use syntax, wide range of libraries and packages, and openness make it a powerful and versatile language.