This course is for individuals considering developing Shiny apps to deliver their research. Thus, the goal will be to teach the skills necessary to translate static products (your current analysis in R) to dynamic products delivered via a simple web-based graphic-user interface.
After a brief survey of the available basic tools (widgets such as slider bars, check boxes, and pick lists), we will move quickly to learn more advanced interactive features.
Activities interspersed throughout the class will provide hands-on practice with sample biological and ecological data. By the end of the course, students will have built a portfolio of example code and will have designed, constructed, and published at least one example Shiny app.
Shiny turns static data products into interactive web apps. With interactive and reactive data visualizations, your audience directly engages with your data for stronger communication and better understanding. The Shiny apps can easily be launched directly to the web via shinyapps.io or Shiny Server to be run by anyone (they don’t need to download your data or have R!).
This course is suitable for students that already have the basic R skills to open data and run analyses or build a basic figure – but who have no or limited prior experience with Shiny.
Participants must have a personal computer (Windows, Mac, Linux) with current versions of R and R Studio installed. A list of packages to preinstall will be sent to participants before the course.
The use of Webcam and headphones are strongly recommended, and a good internet connection.