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Interested in using R for your class on marketing research, customer analytics, or business statistics but worried about the student learning curve? Try out Radiant.

Radiant is a platform-independent browser-based interface for business analytics in R. Radiant is open-source and is available on CRAN for R-3.3.0 or later. Students can run it on their own computers or access it on a server setup by faculty or staff.

See for a preview. Note that shinyapps.io is a free service so access might be a bit slow. The app is much more responsive on a personal computer or dedicated server.

The application has five menus. The Data menu includes interfaces for loading, saving, viewing, visualizing, summarizing, transforming, and combining data. It also contains functionality to generate reproducible reports of the analyses conducted in the application. The Design menu includes interfaces for design of experiments, sampling, and sample size calculation. The Basics menu includes interfaces for probability calculation, central limit theorem simulation, comparing means and proportions, goodness-of-fit testing, cross-tabs, and correlation. The Model menu includes interfaces for linear and logistic regression, Neural Networks, model evaluation, decision analysis, and simulation. Finally, the Multivariate menu includes interfaces for perceptual mapping, factor analysis, cluster analysis, and conjoint analysis.

For more information visit the documentation site at the link below:

For a recent blog post on Radiant see:

The code is available on GitHub at:

Vincent R. Nijs
Associate Professor of Marketing
Rady School of Management
University of California, San Diego
Wells Fargo Hall, 3W116
9500 Gilman Drive # 0553 | La Jolla, CA 92093-0553
858.822.7459 | vnijs@ucsd.edu

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