Features of R Language

Features of R Language

Many companies like Google, Microsoft, Facebook, etc use the R programming language. Some of the key features of the R language are as follows:

Open Source

R is free and open-source, meaning that anyone can use it and contribute to its development. It has a vast and growing community.

Syntax

R has well-defined syntax and is easy to learn. R provides a vast set of operators to work on different data types, such as arrays, lists, factors, frames, vectors, and matrices.

It has conditional loops, built-in functions, provision for user-defined functions, recursion, and input/output facility. R allows the user to import data from a variety of resources, such as text files, statistical packages, and different data stores.

Statistical Computing

R provides a wide variety of statistical techniques, including linear and nonlinear modeling, classification, clustering, and more.

Data Visualization

R has excellent functionality for effective graphical representation of data. R contains comprehensive statistical libraries for performing all kinds of data analytics and visualization. With libraries like ggplot2, R excels in creating sophisticated and customizable plots, charts, and graphs.

Rich Ecosystem

R has thousands of packages available through CRAN (Comprehensive R Archive Network) to extend its capabilities for specific tasks. R’s environment supports reproducibility in research with tools like R Markdown, which allows users to combine code and results in a single document.

Integration

R integrates well with other programming languages and platforms. It has the facility to integrate R programs with languages, such as C/C++, JAVA, and Python.