The Radiant Design menu includes interfaces for design of experiments, sampling, and sample size calculation. The application extends the functionality in radiant.data.
Radiant is an open-source platform-independent browser-based interface for business analytics in R. The application is based on the Shiny package and can be run locally or on a server. Radiant was developed by Vincent Nijs. Please use the issue tracker on GitHub to suggest enhancements or report problems: https://github.com/radiant-rstats/radiant/issues. For other questions and comments please use firstname.lastname@example.org.
Radiant is interactive. Results update immediately when inputs are changed (i.e., no separate dialog boxes) and/or when a button is pressed (e.g.,
Estimate in _Model > Estimate > Logistic regression (GLM)_). This facilitates rapid exploration and understanding of the data.
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.
To conduct high-quality analysis, simply saving output is not enough. You need the ability to reproduce 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 computer. Share state-files with others and create reproducible reports using Rmarkdown. See also the section on
Saving and loading state below
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.
Although Radiant's web-interface can handle quite a few data and analysis tasks, you may prefer to write your own R-code. Radiant provides a bridge to programming in R(studio) by exporting the functions used for analysis (i.e., you can conduct your analysis using the Radiant web-interface or by calling Radiant's functions directly from R-code). For more information about programming with Radiant see the programming page on the documentation site.
Radiant focuses on business data and decisions. It offers tools, examples, and documentation relevant for that context, effectively reducing the business analytics learning curve.
If you use Rstudio (version 0.99.893 or later) you can start and update Radiant through the
Addins menu at the top of the screen. To install the latest version of Radiant for Windows or Mac, with complete documentation for off-line access, open R(studio) and copy-and-paste the command below:
install.packages("radiant", repos = "", type = 'binary')
Once all packages are installed select
Radiant from the
Addins menu in Rstudio or use the command below to launch the app:
See the installing radiant page for details.
Optional: You can also create a launcher on your Desktop to start Radiant by typing
radiant::launcher() in the R(studio) console and pressing return. A file called
radiant.bat (windows) or
radiant.command (mac) will be created that you can double-click to start Radiant in your default browser. The
launcher command will also create a file called
update_radiant.bat (windows) or
update_radiant.command (mac) that you can double-click to update Radiant to the latest release.
When Radiant starts you will see data on diamond prices. To close the application click the icon in the navigation bar and then click
Stop. The Radiant process will stop and the browser window will close (Chrome) or gray-out.
Documentation and tutorials are available at http://radiant-rstats.github.io/docs/ and in the Radiant web interface (the icons on each page and the icon in the navigation bar).
Want some help getting started? Watch the tutorials on the documentation site.
Please use the GitHub issue tracker at github.com/radiant-rstats/radiant/issues if you have any problems using Radiant.