R

Prints code that can be used to recreate R objects. In a sense it is similar to base::dput() or base::deparse() but constructive strives to use idiomatic constructors.

An R Interface to the IUROPA API.

This note describes a useful replyr tool we call a "join controller" (and is part of our "R and Big Data" series, please see here for the introduction, and here for one our big …

Data Wrangling and Query Generating Operators for R. Distributed under choice of GPL-2 or GPL-3 license. - WinVector/rquery

httpOnly Cookies are crucial for security, protecting against cross-site scripting attacks in R Shiny apps. Read more about them here.

Info: This is a draft for discussion purposes. It's not a polished PR and currently includes minimal error handling and documentation. It may be big enough to warrant a separate package, bu...

R package to implement development stages for package development - openpharma/staged.dependencies

mlr3: Machine Learning in R - next generation. Contribute to mlr-org/mlr3 development by creating an account on GitHub.

Shiny development helpers.

Find out how the server-side of a Shiny application works by exploring the Shiny source code and understanding WebSockets and HTTP requests.

1 Using R in the back-end .. but not with R-Shiny LIBData Portal

The 4th Shiny Contest is now in full swing! This community event celebrates learning, sharing, and recognizing outstanding work within the Shiny developer community.

Resources for demoing local and Launcher jobs with RStudio - sol-eng/background-jobs

Cloud Run Websocket support now allows you to deploy a R Shiny Server - a dashboard hosting tool to host R Shiny dashhboards - as a serverless app to GCP Cloud Run

Showcase your R shiny application and grow your user base. Real time usage stats and reviews for all your apps. Contribute today.

Although the concealment of Javascript is by design and makes Shiny in the first instance easy to use, in the long run when you want to build serious and more visual appealing apps, you most likely need to utilize javascript to make most of the web framework

Tidy your JSON data in R with tidyjson.

Helpers to work with JSON in R.

The R graph gallery displays hundreds of charts made with R, always providing the reproducible code.

The ultimate tool for finding the perfect color palette for data visualization with R and paletteer. Explore over 2000 palettes, see them in action on various charts, simulate color blindness, and export ready-to-use R code snippets.

Allows one to fully create an R package in a single .Rmd file. Includes functionality and .Rmd templates for a literate programming approach to R package development.

The R task Force - R experts for all your needs

This article describes best practice approaches for developing shiny dashboards. The creation of the dashboard in package form, as well as the use of unit tests should enable the development of robust solutions and guarantee high quality.

Integrating CSS/SASS, HTML, and JavaScript/TypeScript into R Shiny applications can significantly enhance the user interface and interactivity of your apps....

An R package to quickly obtain clean and tidy college football play by play data - sportsdataverse/cfbfastR

library(shiny) is better with library(bslib), so let’s make it official and update our shinyapp snippet together.

Design tokens are the single source of truth to name and store design decisions.