Package `parallel'

R
Connect to R-hub • rhub
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.
CRAN Task View: High-Performance and Parallel Computing with R
Setting up R with Visual Studio Code quickly and easily with the languageserversetup package - Jozef's Rblog
In this post, we will look at the `languageserversetup` package that aims to make the setup of the R Language Server robust and easy to use by installing it into a separate, independent library and adjusting R startup in a way that initializes the language server when relevant
Automating R package checks across platforms with GitHub Actions and Docker in a portable way - Jozef's Rblog
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.
Caching in R | Joshua Cook
A brief look at the systems for caching in R.
'mustashe' Explained | Joshua Cook
An explanation of the caching system employed in 'mustashe'.
'mustashe' | Joshua Cook
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.
R Markdown animated GitHub corner | Joshua Cook
How to add an animated GitHub corner to an R Markdown page.
Creating a Streamlit web app, building with Docker + GitHub Actions, and hosting on Heroku | Joshua Cook
A step-by-step tutorial on creating a web application with Streamlit, building a Docker image with GitHub Actions, and hosting on Heroku.
Integrating React.js and Shiny
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...
Hosting a Shiny App using Docker
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.
4 Tips to Make Your Shiny Dashboard Faster
Yes, Shiny apps can be fast and scalable. But only if you build them in the right way and use the proper tools.
Shiny - shiny-options
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...
Reproducible Reporting with RMarkdown
Setup Instructions
jpainter/dataDictionary: interface with DHIS2 to get listing of malaria-relevant data elements
interface with DHIS2 to get listing of malaria-relevant data elements - jpainter/dataDictionary
Deploying R Shiny apps using ShinyProxy on Windows 10 | databentobox
This post provides a guide to use ShinyProxy, an open-source tool with enterprise features, to deploy R Shiny apps.
Securing and Monitoring ShinyProxy Deployment of R Shiny Apps | databentobox
This post provides a guide to secure ShinyProxy with Nginx, Certbot and AWS Cognito, and monitor usage statistics with InfluxDB, Telegraf and Grafana.
PhyloProfileDocker/shiny-server.conf at master · trvinh/PhyloProfileDocker
Contribute to trvinh/PhyloProfileDocker development by creating an account on GitHub.
Including datasets
How to include datasets in an R package
cosimameyer/overviewR: Easily Extracting Information About Your Data
Easily Extracting Information About Your Data. Contribute to cosimameyer/overviewR development by creating an account on GitHub.
r-lib/pak: A fresh approach to package installation
A fresh approach to package installation. Contribute to r-lib/pak development by creating an account on GitHub.
CRAN - Package snakecase
A consistent, flexible and easy to use tool to parse and convert strings into cases like snake or camel among others.
Get started with `rhub` • rhub
rhub
Dependency resolution for R package development
kieranjmartin/getfunctionargs: R Studio add in to quickly grab default function arguments
R Studio add in to quickly grab default function arguments - kieranjmartin/getfunctionargs
konradzdeb/extraInserts: Simple convenience RStudio add-in inserting assignment operators and pipes
Simple convenience RStudio add-in inserting assignment operators and pipes - konradzdeb/extraInserts
dreamRs/esquisse: RStudio add-in to make plots with ggplot2
RStudio add-in to make plots with ggplot2. Contribute to dreamRs/esquisse development by creating an account on GitHub.