The {flu.dashboard} R package contains:
- A Shiny application for viewing the information provided in the application.
For information about the content and purpose of the application, read the file at inst/about/about_main.md.
A version of this app is deployed to gallery-flu.jmpr.io. You can also view some of the other apps, dashboards and widgets from Jumping Rivers in our gallery.
The app stores data using pins. The current pin location used in the code is for a Posit Connect server. If this is where your pins will be stored, you'll need to create an API key, or know what your existing one is.
Then you'll need to add these details to an .Renviron file, which contains the following details:
CONNECT_SERVER=https://your.connect.server
CONNECT_API_KEY=AbCdE123456f
Replacing the placeholders with the value for your server address and API key.
To install the application, use:
remotes::install_github("jumpingrivers/flu.dashboard")
With any necessary environment variables set to connect to the data sources through {pins}, you can start the Shiny application using:
flu.dashboard::run()
If you are forking the repository to develop, note this uses {renv} to manage R package dependencies.
To install the R packages from the {renv} lockfile, run renv::restore()
or read documentation from the {renv} website.
From the root directory of the repository, you can start the application in the normal way for a Shiny application.
shiny::runApp()
-
If you have introduced or updated packages for the application, update the {renv} lockfile
renv::snapshot(dev = TRUE)
-
If performing a git-backed deployment from Posit Connect, update the manifest.json file:
rsconnect::write_manifest()
-
Deploy to your hosting service from the app.R file at the root of the repository, or allow Posit Connect's git-backed deployment to perform the deployment and automatically check for updates to the manifest.json file by pushing changes to the git repository.
This has been created by the Data Science team at Jumping Rivers. You can get in touch with us at hello@jumpingrivers.com.
We'd like to thank Andy McCann and the DS Team within NUCT at NHS ML who created the original inspiration inspiration for this app with their 'flu-tracker Shiny application (source code).
This R package has a GNU GPL v3 license.