R Development Environments: RStudio, Quarto, and VS Code

Overview of RStudio, Quarto for Reproducible Research, and Visual Studio Code

This article explores the primary tools for R development: RStudio for a full-featured IDE experience, Quarto for creating reproducible research documents, and Visual Studio Code as a versatile alternative. Learn about their key features, advantages, and use cases.

Programming
Author
Affiliation
Published

February 14, 2024

Modified

March 11, 2025

Keywords

best IDE for R, RStudio, Quarto, Visual Studio Code R, R development environment

Introduction

Choosing the right development environment is crucial for efficient R programming. In this guide, we review three powerful tools that cater to different aspects of the R workflow:

  • RStudio – A robust, full-featured IDE tailored specifically for R.
  • Quarto – A modern publishing system ideal for creating reproducible research documents.
  • Visual Studio Code (VS Code) – A highly versatile editor that, with the appropriate R extensions, offers an excellent alternative IDE for R development.

Each tool brings its own set of strengths, and understanding these differences can help you select the best environment for your specific needs.



RStudio

RStudio remains the most popular IDE for R due to its seamless integration with R, comprehensive toolset, and user-friendly interface. Key features include:

  • Integrated Console and Plotting Pane: Run R code interactively and view visualizations instantly.
  • Data Viewer: Easily inspect and manipulate data frames.
  • Built-in Git Integration: Manage version control directly within the IDE.
  • Package Management: Simplify the process of installing and updating R packages.

RStudio is ideal for those who need a dedicated, full-featured environment for data analysis and package development.

Quarto

Quarto is an innovative publishing system that supports reproducible research. Although not a traditional IDE, it excels in creating dynamic, integrated documents that combine code, output, and narrative:

  • Reproducible Documents: Seamlessly blend code, output, and text to create fully reproducible reports.
  • Multi-Language Support: Integrate R with other languages like Python in a single document.
  • Modern Design: Produce visually appealing documents that are easy to share.

Quarto is particularly beneficial when your primary goal is to generate polished research reports and technical documentation.

Visual Studio Code (VS Code)

Visual Studio Code is a versatile editor that, with the right extensions (such as the R extension), becomes a powerful environment for R development:

  • Customizable and Lightweight: Highly configurable with themes and plugins.
  • Integrated Terminal and Git Support: Run R scripts and manage version control seamlessly.
  • Cross-Language Capabilities: Ideal for projects that involve multiple languages.

VS Code offers an excellent alternative for users who prefer a modern, flexible editor that can handle various programming languages, including R.

Conclusion

Each of these tools has its own niche:

  • RStudio is the go-to choice for a dedicated R coding environment.
  • Quarto is best suited for creating reproducible research documents.
  • VS Code offers a flexible, cross-platform option that works well for multi-language projects.

Consider your project requirements and personal preferences when choosing the right tool to enhance your R development workflow.

Further Reading

Happy coding, and choose the R development environment that best fits your needs!

Back to top

Reuse

Citation

BibTeX citation:
@online{kassambara2024,
  author = {Kassambara, Alboukadel},
  title = {R {Development} {Environments:} {RStudio,} {Quarto,} and {VS}
    {Code}},
  date = {2024-02-14},
  url = {https://www.datanovia.com/learn/programming/tools-and-ides/ides-for-r.html},
  langid = {en}
}
For attribution, please cite this work as:
Kassambara, Alboukadel. 2024. “R Development Environments: RStudio, Quarto, and VS Code.” February 14, 2024. https://www.datanovia.com/learn/programming/tools-and-ides/ides-for-r.html.