R can be run in a command-line interface and in an integrated development environment. R is available for major operating systems like Windows, Linux, and macOS.
R is great for machine learning, statistics, and data analysis. Objects, functions, and packages can easily be created by R.
R software environment is a GNU package. It is written in C, Fortran, and R. Most of its libraries are written in R. But to perform some rare task c, c++ codes are preferred. This language is most popular among data scientists and data miners and can be used in data analysis and data mining.
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Best R Programming IDE To Try In 2023
So if you are a programmer or a newbie who wants to test the R programming language on any third-party IDE, then this article might be useful for you. Here we have curated a Best R Programming IDE list that you might like to try in 2021.
1. RStudio
RStudio is an integrated development environment for R. The RStudio IDE is developed by RStudio, PBC, a commercial enterprise founded by JJ Allaire.
It is available in open source and commercial editions. It runs on a Desktop or in a browser, connected to RStudio Server. The RStudio IDE is partly written in the C++ programming language and uses the Qt framework for its graphical user interface.
RStudio is available for major operating systems like Windows, Mac, Linux, Debian/Ubuntu, Red Hat/CentOS, and SUSE Linux.
2. R Commander (Rcmdr)
R Commander is free statistical software and GUI for the R programming language licensed under the GNU General Public License. The R Commander is available on Windows, Mac, and Linux and was developed by Prof. John Fox.
Like any R package, Rcmdr can be installed from within R. Rcmdr can be easily installed using the pull-down menus or through commands issued in the R-console. More information about this project can be found on this website.
The default R Commander interface consists of a menu bar, a toolbar, a code window with script and R Markdown tabs, an output window, and a messages window.
3. Rattle
Rattle is a free and open-source software package that comes with a graphical user interface. Rattle is mainly used for data mining using the R programming language. However, Rattle can be used to learn the R.
New users can use it as a tool to learn and develop their skills in R. As it is open-source, anyone is allowed to review the code, use it for whatever purpose you like, and extend it however you like, without restriction. Rattle is easily available for download on Togaware.
4. ESS
Emacs Speaks Statistics (ESS) is a user interface for developing statistical applications and performing data analysis using several common statistical programming languages like R, SAS, and Julia. ESS supports major operating systems like Linux, Unix, Mac OS X, and MS Windows.
ESS is freely available under the GNU General Public License (GPL) and widely used among data scientists.
5. RAnalyticFlow
It is a graphical user interface for R Programming. It is a data analysis software that utilizes the R environment for statistical computing. It has been developed collaboratively by experts from around the world. It works on Windows, Mac, and Linux.
It has a vast number of implemented data analysis methods, users can utilize various functions by writing programs in the R language.
6. Rbox
Big data cannot be done solely using R. Hence there is a need for a modern integrated development environment (IDE). Atom is a modern IDE that is developed by GitHub.
Rbox is a collection of several packages that allow you to run R via Atom editor. Through Rbox, you can use Hydrogen to execute a line, selection, or block at a time. It gives you access to several terminals. Additionally, it has useful snippets to run R.
7. Vim
You might be thinking about what vim text editor doing in this list. Vim is a highly configurable text editor built to make creating and changing text and program very efficient. It has Programmable macros and comes with several plugins that allow you to work with R on Vim.
You can use NVim-R, a plugin for Vim that allows you to work with R Programming. NVim-R improves Vim's support for editing R code and makes it possible to integrate Vim with R.
8. RKWard
It is another excellent IDE for the R programming language. It is written in c++ language and can be run in various environments. It integrates with the KDE desktop environment with the Qt libraries. RKWard is easy to use for both professionals and newbies.
Data scientists and data miners who love to program in R language must try RKWard once.
9. Eclipse StatET
Eclipse StatET is an Eclipse-based IDE for R. It offers numerous tools for R programming and package building. It is a fully integrated R console that comes with R script editors. It also can interact with multiple local and remote installations of R.
10. Architect
If you are a data scientist and looking for a perfect IDE to work with the R programming language, then Architect IDE is an excellent choice. Architect is an integrated development environment that mainly focuses on the needs of a data scientist.
It has the ability to work in R, Python, Julia, Scala, C++, and more. Architect is an open-source IDE. It is available on Windows, Linux, and Mac. Its source code can be found on Github.
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These are some best R Programming IDE that you must try in 2021. If we missed any IDE, then let us know in the comment section.