Session Summary:

Shiny is an R package that makes it easy to build interactive web apps straight from R. This workshop will start at the beginning: designing and creating user interfaces, learning and mastering the reactive model that connects your R code to the interface, and deploying apps publicly and privately. Then we'll work with intermediate-level tools: communicating with outside files and databases, debugging, modularizing. You'll build a range of (closely related) app formats in wide use: interactive Rmd, browser based apps, tutorials, and dashboards. In the end, you'll be a confident Shiny user, able to design interactive apps to achieve your purpose and produce a polished and professional implementation.

Should I take the course?

You should be comfortable with routine R programming tasks, such as writing functions, indexing vectors, and lists.

Your (lack of) previous experience with Shiny is not an issue. If you have experience, you'll see things in a new way. If you don't, we'll get you started on the right footing.

Session Details

July 25–26th

9:00 A.M. – 5:00 P.M.



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Colin Rundel

Duke University

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Colin Rundel is an Assistant Professor of the Practice at Duke University where he has been teaching since 2012. His work focuses on teaching statistical computing to both undergraduate and graduate students in both R and Python. He has been teaching and using Shiny since 2015.