Development

RStudio – enterprise-ready professional software for R

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.

Features include:

  • 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: Documentation
Developer: RStudio, Inc.
License: GNU Affero GPL v3

RStudio - Data Science Tutorial
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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.

Return to Graphical User Interfaces for R | Return to Data Science Notebooks | Return to Integrated Development Environments


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Pedro Gomes
Pedro Gomes
4 years ago

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!

Terry Boulder
Terry Boulder
4 years ago
Reply to  Pedro Gomes

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.

John Kolassa
John Kolassa
2 years ago
Reply to  Pedro Gomes

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.

Neil
Neil
2 years ago
Reply to  John Kolassa

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.