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RStudio

RStudio

  -  253 MB  -  Open Source
  • Latest Version

    RStudio 2024.12.1 LATEST

  • Review by

    Daniel Leblanc

  • Operating System

    Windows 10 / Windows 11

  • User Rating

    Click to vote
  • Author / Product

    RStudio, Inc. / External Link

  • Filename

    RStudio-2024.12.1-563.exe

RStudio is an integrated development environment (IDE) for R. It includes a console and syntax-highlighting editor that supports direct code execution, as well as tools for plotting, history, debugging, and workspace management.

RStudio is a powerful integrated development environment (IDE) designed specifically for R, a popular programming language for statistical computing and data analysis. This open-source IDE is widely recognized as one of the most comprehensive and user-friendly tools for R programming. It provides an extensive set of features, making it an essential choice for data scientists, statisticians, researchers, and anyone working with R.

RStudio (The Premier IDE for R) is available in open source and commercial editions and runs on the desktop (Windows, Mac, and Linux) or in a browser connected to RStudio Server or RStudio Server Pro (Debian/Ubuntu, RedHat/CentOS, and SUSE Linux).

Highlights
  • Syntax highlighting, code completion, and smart indentation
  • Execute R code directly from the source editor
  • Quickly jump to function definitions
  • Integrated R help and documentation
  • Easily manage multiple working directories using projects
  • Workspace browser and data viewer
  • Interactive debugger to diagnose and fix errors quickly
  • Extensive package development tools
  • Authoring with Sweave and R Markdown
Main Features

Script Editor
It offers a robust script editor with syntax highlighting, code autocompletion, and error checking, making it easy to write and debug R code.

Data Visualization
The software includes a built-in graphical interface for creating interactive and static data visualizations using popular R packages like ggplot2 and lattice.

Data Manipulation
The app facilitates data manipulation with a dedicated viewer for data frames, integration with dplyr and tidyr packages, and interactive data filtering.

Package Management
Manage R packages effortlessly with an integrated package manager. Install, update, and load packages with a few clicks.

Version Control
Git and GitHub integration is seamless, allowing you to track changes, collaborate with others, and manage your R projects efficiently.

R Markdown
Create dynamic reports and documents with R Markdown. Combine R code, visualizations, and narrative text for reproducible research.

Shiny Apps
Build interactive web applications directly from the app using the Shiny framework, ideal for sharing data-driven insights.

Integrated Help
Access R documentation, help files, and community resources from within the IDE, ensuring you have the support you need while coding.

Customization
Customize your workspace with various themes, editor layouts, and configurable shortcuts to tailor the app to your workflow.

Cross-Platform Compatibility
RStudio is available for Windows, macOS, and Linux, ensuring a consistent experience across different operating systems.

Installation and Setup
  • Download the appropriate version for your operating system from the official website or FileHorse.
  • Run the installer and follow the on-screen instructions.
  • During installation, you may be prompted to install R if it's not already on your system. It requires R to function.
  • Once installed, launch the app, and you're ready to start coding in R.
How to Use
  • Script Editor: Write and edit your R code here.
  • Console: Interact with R directly through the console.
  • Environment/History: View and manage your workspace and command history.
  • Files/Plots/Packages/Help: Access files, plots, packages, and help resources.
Here's a quick guide on using the app:
  • Create or open an R script in the script editor.
  • Write your R code.
  • Execute code by selecting and running lines or sections.
  • View results in the console or graphical plots pane.
FAQ

Is RStudio FREE to use?
Yes, the app is open-source software and is available for free under the AGPLv3 license. There's also a commercial version called RStudio Desktop Pro with additional features and support.

Can I use RStudio on my Mac?
Yes, RStudio is compatible with macOS, Windows, and Linux, making it versatile for various platforms.

How do I install packages in RStudio?
To install packages, use the install.packages("package_name") command in the console or use the package manager pane in RStudio's interface.

Does RStudio support version control?
Yes, It has built-in support for Git and GitHub, making it easy to manage your R projects and collaborate with others.

Can I create interactive web applications with RStudio?
Absolutely!! It allows you to build interactive web applications using the Shiny framework, making it a powerful tool for creating data-driven web apps.

Alternatives

Visual Studio Code: Offers R extensions and is a versatile code editor with a wide range of programming languages supported.

Jupyter Notebook: Ideal for interactive data analysis, especially when working with multiple languages, including R and Python.

R Tools for Visual Studio: A Windows-specific option with excellent R integration for those who prefer the Visual Studio environment.

Pricing

The software is primarily an open-source project, and you can download and use it for FREE. However, it offers a commercial version called RStudio Desktop Pro, which includes features like enhanced support, offline usage, and more. Pricing for RStudio Desktop Pro is available on the official website.

Open Source Edition - FREE
The Premier IDE for R
  • Access the RStudio IDE locally
  • Syntax highlighting, code completion, and smart indentation
  • Execute R and Python code directly from the source editor
  • Quickly jump to function definitions
  • View content changes in real time with the Visual Markdown Editor
  • Easily manage multiple working directories using projects
  • Integrated R help and documentation
  • Interactive debugger to diagnose and fix errors
  • Extensive package development tools
  • Support: Community forums only
  • License: AGPL v3
RStudio Desktop Pro - $1,045 per year
The RStudio IDE, is superpowered for your professional workflow

ALL OF THE FEATURES OF OPEN SOURCE; PLUS:
  • A commercial license for organizations not able to use AGPL software
  • Access to priority support
  • Posit Professional Drivers
  • Priority Email Support
  • 8-hour response during business hours (ET)
  • License: Posit License Agreement
System Requirements
  • Operating System: Windows 7/8/10/11
  • CPU: 1 GHz or faster.
  • RAM: 1 GB minimum (2 GB or more recommended).
  • Disk Space: 1.5 GB of free disk space.
PROS
  • User-friendly and feature-rich IDE for R programming.
  • Excellent data visualization and manipulation capabilities.
  • Seamless Git and GitHub integration.
  • R Markdown support for reproducible research.
  • Cross-platform compatibility.
CONS
  • The learning curve for beginners unfamiliar with R.
  • Some advanced features are only available in the commercial version.
  • Resource-intensive for very large datasets and complex operations.
Conclusion

RStudio is a top-tier integrated development environment for R, tailored to meet the needs of data scientists, statisticians, and researchers. With its extensive features, excellent documentation, and active community, it's the go-to choice for anyone working with R.

Whether you're analyzing data, building interactive web apps, or creating dynamic reports, it provides the tools you need to excel in the world of statistical computing and data analysis. Plus, its open-source nature ensures accessibility to all, making it a valuable asset to the R community.

So, if you're diving into R programming or already well-versed in it, the dev app is an essential tool that will streamline your workflow and enhance your productivity. Download it today and experience the power of RStudio for yourself.

Note: Requires R for Windows.

Also Available: Download RStudio for Mac

  • RStudio 2024.12.1 Screenshots

    The images below have been resized. Click on them to view the screenshots in full size.

    RStudio 2024.12.1 Screenshot 1
  • RStudio 2024.12.1 Screenshot 2
  • RStudio 2024.12.1 Screenshot 3
  • RStudio 2024.12.1 Screenshot 4

What's new in this version:

New:
RStudio:
- The editor line height can now be customized (via Tools -> Global Options… -> Appearance) [Accessibility]
- Noto Sans is now used as a fallback proportional font (for RStudio UI elements) on Linux systems

Posit Workbench:
- The secret key used to sign browser cookies can now be set via the WORKBENCH_ENCRYPTION_KEY environment variable
- Added a warning when the server certificate is self-signed but the certificate authority root is not in the system’s CA store
- Added an error when the Launcher port or SSL configuration does not match Workbench’s corresponding configuration

Fixed:
RStudio:
- Fixed an issue where executing Python code from an R Markdown chunk could cause a crash in rare cases
- Fixed an issue where reformatting a document with unsaved changes when using styler for formatting could lose unsaved changes
- Fixed an issue where double-clicking a source file to start RStudio didn’t always open the file after starting
- Fixed an issue where double-clicking a file to open it in running RStudio didn’t work with zoomed plot windows
- Fixed an issue where the RStudio UI stopped working if publishing was disabled in Global Options
- Reverted support for help.htmltoc with R (>= 4.4); support will be re-evaluated in a future release
- Fixed an issue where Copilot completions were not provided in Quarto documents
- Fixed an issue where very large character vectors in the R global environment could make RStudio initialize more slowly
- Fixed an issue where the .Rproj.user folder was not marked as hidden for new projects on Windows
- Fixed an issue where the Files pane could inadverently scroll back to top in some cases
- Fixed an issue with non-ASCII characters in qmd files showing as “unexpected token.”
- Fixed an issue where chunk highlighting in Sweave documents was incorrect
- Fixed an issue where code diagnostics were incorrectly applied to un-evaluated R code chunks in visual mode
- Fixed an issue where RStudio could emit a warning when attempting to retrieve help for R objects without a help page

Posit Workbench:
- Fixed images list in the launcher UI not updating immediately on cluster change for multi-cluster configurations with different image lists
- Fixed a regression where editors configured with both a default cluster of “Local” and a default image cause a misconfiguration on session launch
- Fixed resource profile from a non-Local cluster remaining set for Local cluster when launcher is configured without cgroups support, leading to invalid session launch
- Fixed issue with proxying websockets over ssl that could lead to intermittent VS Code session errors
- Fixed problems using rstudio-server reload to reload configuration with load balancing enabled
- Fixed Workbench API support for launching Jupyter sessions
- Fixed Workbench API get_session call with a session-id filter
- Fixed a regression in the behavior of the auth-proxy-user-header-rewrite setting which allowed conditional rewrites of usernames
- Fixed issue with using encrypted postgresql password when user provisioning is enabled