Schedule [BB]

• 8:30 - 9:00 recap

  • grades updated on GauchoSpace
  • schedule:
    • NO CLASS next week
    • NO office hours for BB this week, on again March 8th or by email
    • This assignment due next Thursday, March 10
    • final project presentations Friday, March 11
  • quick intro to package development

• 9:00 - 9:45 Shiny demo. If unavailable, you can run locally with the following:

  setwd('~/Downloads') # change to sensible directory
  download.file('https://github.com/ucsb-bren/env-info/archive/gh-pages.zip','env-info-gh-pages.zip')
  unzip('env-info-gh-pages.zip')
  rmarkdown::run('env-info-gh-pages/wk08_shiny/shiny_demo.Rmd')
  

• 9:45 - 10:00 break

• 9:45 - 10:30 Shiny slides

• 10:30 - 11:30 tutorials, assignment

  • Run through Shiny Tutorial lessons, placing shiny files in folders contained in the env-info_hw directory of your <user>.github.io repository. I recommend starting RStudio with the R project corresponding to your <user>.github.io.Rproj.
    • 1. Welcome to Shiny
    • 2. Build a user-interface
    • 3. Add control widgets
    • 4. Display reactive output
    • 5. Use R scripts and data
    • 7. Share your apps
  • Create a Shiny app for your group in your <org>.github.io repo (see Group below).

Assignment

• Create a normal Rmarkdown HTML document wk08_shiny.Rmd in the env-info_hw folder of your <user>.github.io repository.

Individual

In your wk08_shiny.Rmd, add:

1. R chunk with option eval=F containing the shiny::runGitHub() command to run at least one of the examples from the Shiny Tutorial after you pushed your app files to your <user>.github.io repository on Github.

2. Link to the shinyapps.io URL of a Shiny app that you published.

Group

Create group Shiny app in your <org>.github.io repo to enhance your previous interactive visualization by adding user interface and server functions that enable a user to:

1. subset rows (ie filter()) or columns (ie select()) of the data

2. alter at least one parameter to the visualization

In your individual http://<user>.github.io/env-info_hw/wk08_shiny.html, similarly include:

1. R chunk with option echo=F containing the shiny::runGitHub() command to run your group’s Shiny app in the <org>.github.io repository.

2. Link to the shinyapps.io URL of the Shiny app that one of your group members published.

Submit URL to GauchoSpace

In order to get credit for this assignment, you must log into GauchoSpace and submit the URL into the wk08_shiny assignment.

This URL should be to the wk08_shiny.html in your <user>.github.io, NOT <org>.github.io and NOT wk08_shiny.Rmd. For instance, for me that would be http://bbest.github.io/env-info_hw/wk08_shiny.html.

Note: I am adding this GauchoSpace submission part because some students invariably mistype the filenames, forget to push to Github, or some such. This extra step hopefully ensures that I can easily find your homework and give you credit.

I’ll be out of country next week so won’t have office hours. We’re cancelling class for Bren Group Project presentations next week. I will have office hours again Tuesday March 8th 11:30 - 1pm. This assignment is due Thursday, March 10th.

Resources

• Shiny Cheat Sheet
• Building Shiny apps - an interactive tutorial: slides, text and demo
• Shiny Lesson 6. Use reactive expressions
• Shiny Gallery
• Shiny Articles
• Supplementing your R package with a Shiny app
• Rmarkdown: Interactive Documents, Embedded Shiny Apps
• Examples from 2016-01-25 eco-data-science/shiny_tutorial at NCEAS:
  • Data Limited Fisheries by Sarah McCutcheon
  • OTP Herring Management by Cody Szuwalski
  • Physics grades by Casey O’Hara
  • Conservation Routing by Ben Best
  • Marxan, Mapotron by Matt Watts + Jeff Hanson