🗓️ July 25 and 26, 2022
⏰ 9:00 - 17:00
🏨 National Harbor 6 / 7
✍️ rstd.io/conf
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.
You should be comfortable with the basics of R, such as writing functions, indexing vectors and lists, debugging simple errors, and working with data structures like data frames.
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.
This workshop will be a hands-on introduction to designing, implementing and deploying Shiny applications. All participants will be provided access to a preconfigured RStudio cloud environment for running example code and completing hands-on exercises. As such, you will only need a laptop capable of connecting to wifi inorder to fully participate. If you would instead prefer to run things locally, please make sure that you have installed the most recent version of R (4.2+) and RStudio (2022.02.3+), you should also have the latest version of shiny (1.7.1+) and tidyverse (1.3.1+) packages installed / updated.
| Time | Activity |
|---|---|
| 09:00 - 09:30 | Welcome |
| 09:30 - 10:30 | Intro to Shiny |
| 10:30 - 11:00 | Coffee break |
| 11:00 - 12:30 | Basic Reactivity |
| 12:30 - 13:30 | Lunch break |
| 13:30 - 15:00 | Observers & reactives |
| 15:00 - 15:30 | Coffee break |
| 15:30 - 17:00 | Downloads |
Day 2 - Slides: 📓 Day 2
| Time | Activity |
|---|---|
| 09:00 - 10:30 | shinydashboard & modules |
| 10:30 - 11:00 | Coffee break |
| 11:00 - 12:30 | Theming & deploying apps |
| 12:30 - 13:30 | Lunch break |
| 13:30 - 15:00 | Dynamic UIs |
| 15:00 - 15:30 | Coffee break |
| 15:30 - 17:00 | Q&A + Wrapup |
Colin Rundel is an Associate 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.
