A simple system for saving and loading objects in R. Long running computations can be stashed after the first run and then reloaded the next time. Dependencies can be added to ensure that a computation is re-run if any of its dependencies or inputs have changed.
React.js is a thriving JavaScript library that eases encapsulating and sharing sophisticated component libraries. The React.js ecosystem is filled with components for doing everything from...
I used shinyapps.io for my own shiny app. It’s a great service. You can deploy your app for free, test it and show it to other people. But there’s also a downside: The memory an app can use is limited. So I was looking for another way to deploy my app. So I took a look at Docker.
Auto-refresh persistently displayed Shiny app when new version is deployed to RStudioConnect
Aaaand... because I couldn't help myself. A simple little example using shinyjs that seems to work for my not-very-thorough testing 😄 The two important bits: In the UI: shinyjs::useShinyjs(), In the Server (10 seconds for testing): shinyjs::runjs( "function reload_page() { window.location.reload(); setTimeout(reload_page, 10000); } setTimeout(reload_page, 10000); ") You definitely don't need the shinyjs package to make this work, but it does make things a little easier :s...