RStudio is an integrated development environment (IDE) for R. RStudio combines an intuitive user interface with powerful coding tools to help you get the most out of R. It
includes a console, syntax-highlighting editor that supports direct code execution, as well as tools for plotting, history, and workspace management.
RStudio includes a wide range of productivity enhancing features and runs on all major platforms. RStudio can optionally also be run as server which enables you to provide a browser based interface to a version of R running on a remote system.
Read our interactive tutorial for data science using R and RStudio. No programming knowledge required.
Key Features
- Customizable workbench with all of the tools required to work with R in one place (console, source, plots, workspace, help, history, etc).
- Syntax highlighting editor with code completion.
- Execute code directly from the source editor (line, selection, or file).
- Full support for authoring Sweave and TeX documents.
- Searchable history.
- Retrieve previous commands.
- Keyboard shortcuts.
- Easy installation of new packages
- Runs on all major platforms and can also be run as a server, enabling multiple users to access the RStudio IDE using a web browser
- Integrated help functionality.
- RStudio works with the manipulate package to add interactive capabilities to standard R plots.
R Notebook features:
- R Markdown document with chunks that can be executed independently and interactively, with output visible immediately beneath the input. R Notebooks are a method of literate programming that allows for direct interaction with R while producing a reproducible document with publication-quality output.
- Inline output (notebook mode) on all R Markdown documents.
- Plain-text files and therefore work well with version control.
- Keyboard shortcuts.
- rmarkdown package provides several functions that can be used to read and write R Notebooks outside of RStudio.
Website: posit.co
Support:
Developer: RStudio, Inc.
License: GNU Affero GPL v3
RStudio is written in Java, C++ and JavaScript. Learn Java with our recommended free books and free tutorials. Learn C++ with our recommended free books and free tutorials. Learn JavaScript with our recommended free books and free tutorials.
Related Software
| Graphical User Interfaces for R | |
|---|---|
| RStudio | Professional software for R with a code editor, debugging & visualization tools |
| Positron | Next-generation data science IDE |
| StatET for R | Eclipse based IDE (integrated development environment) for R |
| Rattle | R Analytic Tool To Learn Easily: Data Mining using R |
| jamovi | Provides R syntax for each analysis that is run |
| RKWard | Easy to use and easily extensible IDE/GUI |
| R Commander | A Basic-Statistics GUI for R |
| JGR | Universal and unified graphical user interface for R |
| Deducer | Intuitive, cross-platform graphical data analysis system |
Read our verdict in the software roundup.
| Notebook software | |
|---|---|
| JupyterLab | The next generation user interface for Project Jupyter |
| RStudio | Integrated development environment (IDE) for R |
| Jupyter Notebook | Web-based notebook environment for interactive computing |
| Positron | Next-generation data science IDE |
| marimo | Reactive Python notebook |
| Apache Zeppelin | Multi-purpose notebook |
| IPython | Rich architecture for interactive computing |
| Polynote | Experimental polyglot notebook environment |
| nteract | Notebooks on your Desktop |
| Pluto | Simple reactive notebooks for Juli |
| Pretzel | Billed as a modern replacement for Jupyter Notebooks |
| Spark Notebook | Interactive and reactive data science using Scala and Spark |
| BeakerX | Kernels and extensions to the Jupyter interactive computing environment |
Read our verdict in the software roundup.
| Integrated Development Environments | |
|---|---|
| RStudio | Enterprise-ready professional software for R |
| PyCharm | Integrated Development Environment for Python |
| Neovim | Continuation and extension of Vim |
| Lapce | Fast and powerful code editor written in Rust |
| NetBeans IDE | Java based IDE from Apache |
| VSCodium | Binary distribution of VS Code |
| Eclipse | Java based environment combining a number of different Eclipse projects |
| Qt Creator | Cross-platform, complete Integrated Development Environment |
| Spyder | The Scientific Python Development Environment |
| KDevelop | An easy to use IDE for KDE |
| Helix | Post-modern modal text editor |
| Positron | Next-generation data science IDE |
| eric | Full featured Python editor and IDE |
| Thonny | Python Integrated Development Environment for Beginners |
| Lazarus | Delphi compatible cross-platform IDE |
| PyDev | Python Integrated Development Environment for Eclipse |
| Gambas | Development environment and a full powerful development platform |
| Leo | Python based IDE, Outliner and PIM |
| IntelliJ IDEA | IDE for Java, Groovy, and other languages |
| LiteIDE | Edit and build Go projects |
| Arduino IDE | Electronics prototyping platform |
| ZeroBrane Studio | Lightweight Lua-based IDE for Lua |
| CodeLite | Powerful and lightweight C/C++ IDE |
| Pyzo | Cross-Platform Python IDE focused on interactivity and introspection |
| DrRacket | IDE for the Racket programming languages |
| Builder | IDE for GNOME |
| Geany | Small and lightweight IDE based on Scintilla |
| Code::Blocks | Very extensible and fully configurable |
| Ecere SDK | Software development kit |
| Zasper | IDE for Data Science |
| U++ | Rapid application development framework |
| roobuilder | Vala and JavaScript IDE |
Read our verdict in the software roundup.
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RStudio is extremely heavy a piece of software. It just takes over your computer just to crash at the end and, for you to restart it, you’ll wait a whole bunch of time!
RStudio is first-class software. We’ve never had a single crash with the software.
RStudio does consume RAM, but it’s superb software, rock solid. Maybe there’s something wrong with your computer, Pedro? Compiling all the R packages on a Linux box does take a long time; Windows actually is better in that respect as no compiling is needed.
I’ve had issues with crashing as well, typically if I start something else that’s resource intensive while running Rstudio (or maybe the other way around, but it was Rstudio that crashed.) I still use Rstudio extensively. My biggest issue is that it doesn’t use screen space efficiently.
I use RStudio every day. The user interface definitely isn’t perfect but it’s still fantastic software.
I never like having to compile all the libraries I use as I sometimes distro hop.