Overview of R

Read about R, its history, connections to other languages, and alternatives for statistical computing. You will also learn about various interfaces that can be used to edit and run R code, such as RStudio.

Introduction

R is a programming language for statistical computing and graphics supported by the R Core Team and the R Foundation for Statistical Computing. Created by statisticians Ross Ihaka and Robert Gentleman, R is used among data miners and statisticians for data analysis and developing statistical software. Users have created packages to augment the functions of the R language.

According to user surveys and studies of scholarly literature databases, R is one of the most commonly used programming languages in data mining. As of March 2022, R ranks 11th in the TIOBE index, a measure of programming language popularity.

The official R software environment is an open-source, free software within the GNU package, available under the GNU General Public License. It is written primarily in C, Fortran, and R (partially self-hosting). Precompiled executables are provided for various operating systems. R has a command-line interface. Multiple third-party graphical user interfaces, such as RStudio, an integrated development environment, and Jupyter, a notebook interface, are also available.

Source: V. Lyubchich, https://rpubs.com/vlyubchich/r_overview
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