No Clocks

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

PhD student in Conflict Studies | University of Mannheim. Interested in leadership survival, conflict studies and post-civil war stability. - cosimameyer

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

Consultant, Developer, Actuary, Information Specialist, Knowledge Management, Data Scientist, Software Engineer, Application Design, Physics Enthusiast - jimbrig

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

To build and check R packages on r-hub, you need to validate your email address. This is because r-hub sends out emails about build results.

R Studio add in to quickly grab default function arguments - kieranjmartin/getfunctionargs

Simple convenience RStudio add-in inserting assignment operators and pipes - konradzdeb/extraInserts

RStudio add-in to make plots with ggplot2. Contribute to dreamRs/esquisse development by creating an account on GitHub.

An add in for RStudio which allows the user to filter and select columns interactively - kieranjmartin/viewenhance

RStudio addin to create skeleton documentation for functions and data.frames - mdlincoln/docthis

On top of spaghetti, all covered in cheese.... Contribute to MilesMcBain/datapasta development by creating an account on GitHub.

RStudio addin to search CRAN packages titles and descriptions - RhoInc/CRANsearcher

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