No Clocks

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.

Run R CMD check on any of the R-hub () architectures, from the command line. The current architectures include Windows, macOS, Solaris and various Linux distributions.

In this post, we will examine using GitHub actions and Docker to test our R packages across platforms in a portable way and show how this setup works for the CRAN package languageserversetup.

A step-by-step tutorial on creating a web application with Streamlit, building a Docker image with GitHub Actions, and hosting on Heroku.

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.

Yes, Shiny apps can be fast and scalable. But only if you build them in the right way and use the proper tools.

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...

interface with DHIS2 to get listing of malaria-relevant data elements - jpainter/dataDictionary

Contribute to ekstroem/dataReporter development by creating an account on GitHub.

This post provides a guide to use ShinyProxy, an open-source tool with enterprise features, to deploy R Shiny apps.

This post provides a guide to secure ShinyProxy with Nginx, Certbot and AWS Cognito, and monitor usage statistics with InfluxDB, Telegraf and Grafana.

Contribute to trvinh/PhyloProfileDocker development by creating an account on GitHub.

Contribute to trvinh/PhyloProfileDocker development by creating an account on GitHub.

How to include datasets in an R package

Easily Extracting Information About Your Data. Contribute to cosimameyer/overviewR development by creating an account on GitHub.

A fresh approach to package installation. Contribute to r-lib/pak development by creating an account on GitHub.

A consistent, flexible and easy to use tool to parse and convert strings into cases like snake or camel among others.

rhub

Copy R data to clipboard. Contribute to BAAQMD/copydat development by creating an account on GitHub.

My Shiny App has a paging system, that allows to go back and forth. Below is a miniversion of my entire app. I would like to resize the first column of my datatable that includes checkboxes and mak...

Environment Management with Docker

shiny-loadblancer-internal.R · GitHub

Article compares different technologies to scale R Shiny Apps, technologies used: ShinyProxy, Shiny Server Open Source & Pro and solution based Docker and Load Balancer.

Shiny App for Load Balancing. Contribute to aephidayatuloh/shiny-loadbalancer development by creating an account on GitHub.

I wanted to know what others think is the best approach when making a shiny module that uses some functions/variables that in a non-module app would belong in global.R Do you still keep them in global.R? To me that seems to break the isolation and independence of modules, since a module should be explicit about all its inputs and outputs. As a concrete example: in the following app, the module UI and module server use a variable defined outside of it. Here's one way to write it: foodata