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presstofan/shinyproxy-docker-swarm-demo: A template for deploying R Shiny apps with ShinyProxy in Docker Swarm mode
A template for deploying R Shiny apps with ShinyProxy in Docker Swarm mode - presstofan/shinyproxy-docker-swarm-demo
ColinFay/minifying: An Application to Minify CSS, JAVASCRIPT, CSS, and HTML files
An Application to Minify CSS, JAVASCRIPT, CSS, and HTML files - ColinFay/minifying
ThinkR-open/chameleon: Build And Highlight Package Documentation With Customized Templates
Build And Highlight Package Documentation With Customized Templates - ThinkR-open/chameleon
ThinkR-open/checkhelper: A package to help deal with devtools::check outputs
A package to help deal with devtools::check outputs - ThinkR-open/checkhelper
ThinkR-open/docker4dev: Repository with DockerFiles for tutorials
Repository with DockerFiles for tutorials. Contribute to ThinkR-open/docker4dev development by creating an account on GitHub.
docker4dev/build_docker_container.R at main · ThinkR-open/docker4dev
Repository with DockerFiles for tutorials. Contribute to ThinkR-open/docker4dev development by creating an account on GitHub.
ThinkR-open/engineering-shiny-book: Engineering Production-Grade Shiny Apps — To be published in the R Series in 2020.
Engineering Production-Grade Shiny Apps — To be published in the R Series in 2020. - ThinkR-open/engineering-shiny-book
ThinkR-open/prepare-for-cran: A Collaborative list of things to know before submitting to CRAN
A Collaborative list of things to know before submitting to CRAN - ThinkR-open/prepare-for-cran
Include the Docker container in a network • devindocker
devindocker
ThinkR-open/attachment: Tools to deal with dependencies in scripts, Rmd and packages
Tools to deal with dependencies in scripts, Rmd and packages - ThinkR-open/attachment
ThinkR
R Engineering, training, and consulting. ThinkR has 87 repositories available. Follow their code on GitHub.
Parameterize an R Markdown report using Shiny components — yml_params • ymlthis
R Markdown lets you add dynamic parameters to your report using the params YAML field (see the R Markdown book for examples); parameterized reports are also used in RStudio Connect. The values of these variables can be called inside your R Markdown document using params$field_name. There are several ways to change the values of the parameters: manually change the YAML, use the params argument in rmarkdown::render(), or knit with parameters, which launches a Shiny app to select values for each. yml_params() accepts any number of named R objects to set as YAML fields. You can also pass argume...
Deploy your RShiny App Locally with Docker
Package your RShiny app into a docker container for local deployment. No rshiny-server or special rshiny.conf configurations necessary!
rstudio/bookdown: Authoring Books and Technical Documents with R Markdown
Authoring Books and Technical Documents with R Markdown - rstudio/bookdown
Supplement to Shiny in Production
This document is full of supplemental resources and content from the Shiny in Production Workshop delievered at rstudio::conf 2019.
Headless Recorder - Chrome Web Store
A Chrome extension for recording browser interaction and generating Puppeteer & Playwright scripts
Browse Fonts - Google Fonts
Making the web more beautiful, fast, and open through great typography
CRI-iAtlas/iatlas-app: R Shiny app for iAtlas (new, 2020 version)
R Shiny app for iAtlas (new, 2020 version). Contribute to CRI-iAtlas/iatlas-app development by creating an account on GitHub.
Deploying a Shiny app as a desktop application with Electron
Data Scientist. Shiny Developer. Tidyverse Denizen. Scheme Enthusiast.
TnV Blog
Docking or containerization is a new method of distribute a software/tool. Beside providing only the source code for installing, we give the users the so-called container, which contains the whole environment to run the program, including the tool and its dependencies with the exact version and all the needed configurations. By delivering such a “container”, users are always able to “reuse” the tool and reproduce the results as we did.
TnV Blog
Write an awesome description for your new site here. You can edit this line in _config.yml. It will appear in your document head meta (for Google search results) and in your feed.xml site description.
pak package | R Documentation
The goal of 'pak' is to make package installation faster and more reliable. In particular, it performs all HTTP operations in parallel, so metadata resolution and package downloads are fast. Metadata and package files are cached on the local disk as well. 'pak' has a dependency solver, so it finds version conflicts before performing the installation. This version of 'pak' supports CRAN, 'Bioconductor' and 'GitHub' packages as well.
overviewR/CheatSheet_overviewR.pdf at master · cosimameyer/overviewR
Easily Extracting Information About Your Data. Contribute to cosimameyer/overviewR development by creating an account on GitHub.
Easily Extracting Information About Your Data • overviewR
Makes it easy to display descriptive information on a data set. Getting an easy overview of a data set by displaying and visualizing sample information in different tables (e.g., time and scope conditions). The package also provides publishable LaTeX code to present the sample information.
How to write your own R package and publish it on CRAN | Methods Bites
Blog of the MZES Social Science Data Lab
sjewo/shiny-loadbalancer: Shiny App for Load Balancing
Shiny App for Load Balancing. Contribute to sjewo/shiny-loadbalancer development by creating an account on GitHub.
Effectively Deploying and Scaling Shiny Apps with ShinyProxy, Traefik and Docker Swarm | databentobox
This post provides a guide to effectively and securely scale your ShinyProxy deployment of shiny apps in production with Docker Swarm and Traefik
Setting up your Postman app | Postman Learning Center
Method to open any Windows 10 Apps from command line Solved - Windows 10 Forums
Hi everyone, I am here to share how to open any Windows 10 Apps from command line. 1. Open Code: shell:AppsFolder 2. Find your app 3. Right click and