R

Summary

R is a programming language and free software environment for statistical computing and graphics. It is widely used for data analysis, statistical modeling, and visualization, with a comprehensive ecosystem of packages.

Paradigms

functional, imperative, object-oriented, reflective, array-oriented

Domains

data science, statistics, scientific computing, data visualization, numerical analysis, bioinformatics, analysis

Key Features

first-class functions, closures, type inference, operator overloading, reflection, meta-programming, named arguments, modules

Typing

dynamic system, structural typing, weak typing, partial inference, runtime checking, aggressive type coercion, no type annotations

Compilation

interpreted, interpreted with JIT compilation

Influenced By

S, Scheme, LISP

Ratings

File extensions

r, rd, rsx

External Links

• R official site
• @rstats_tweets on X
• R jobs at Devjobsscanner
• r/Rlanguage subreddit
• Trending GitHub repositories