Introducing Radiant: A shiny interface for R

May 3, 2015
By

(This article was first published on R(adiant) news, and kindly contributed to R-bloggers)

Radiant is a platform-independent browser-based interface for business analytics in R, based on the Shiny package.

Key features

  • Explore: Quickly and easily summarize, visualize, and analyze your data
  • Cross-platform: It runs in a browser on Windows, Mac, and Linux
  • Reproducible: Recreate results at any time and share work with others as a state file or an Rmarkdown report
  • Programming: Integrate Radiant’s analysis functions into your own R-code
  • Context: Data and examples focus on business applications

Explore

Radiant is interactive. Results update immediately when inputs are changed (i.e., no separate dialog boxes). This greatly facilitates exploration and understanding of the data.

Cross-platform

Radiant works on Windows, Mac, or Linux. It can run without an Internet connection and no data will leave your computer. You can also run the app as a web application on a server.

Reproducible

Simply saving output is not enough. You need the ability to recreate results for the same data and/or when new data become available. Moreover, others may want to review your analysis and results. Save and load the state of the application to continue your work at a later time or on another omputer. Share state files with others and create reproducible reports using Rmarkdown.

If you are using Radiant on a server you can even share the url (include the SSUID) with others so they can see what you are working on. Thanks for this feature go to Joe Cheng.

Programming

Although Radiant’s web-interface can handle quite a few data and analysis tasks, at times you may prefer to write your own code. Radiant provides a bridge to programming in R(studio) by exporting the functions used for analysis. For more information about programming with Radiant see the programming page on the documentation site.

Context

Radiant focuses on business data and decisions. It offers context-relevant tools, examples, and documentation to reduce the business analytics learning curve.

How to install Radiant

  • Required: R version 3.1.2 or later
  • Required: A modern browser (e.g., Chrome or Safari). Internet Explorer (version 11 or higher) should work as well
  • Recommended: Rstudio

Radiant is available on CRAN. To install the latest version with complete documentation for offline access open R(studio) and copy-and-paste the command below:


install.packages("radiant", repos = "http://vnijs.github.io/radiant_miniCRAN/")

Once all packages are installed use the commands below to launch the app:


library(radiant); radiant("marketing")

See also the Installing Radiant video:

Documentation

Documentation and tutorials are available at http://vnijs.github.io/radiant/ and in the Radiant web interface (the ? icons and the Help menu).

Want some help getting started? Watch the tutorials on the documentation site

Online

Not ready to install Radiant on your computer? Try it online at the links below:

vnijs.shinyapps.io/base

vnijs.shinyapps.io/quant

vnijs.shinyapps.io/marketing

Please send questions and comments to: [email protected]


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