R

This blogpost explains step by step how you can build your own Docker Image and include R scripts. With this you can have scripts running at every image's beginning.

Learn how to dockerize ShinyApps! Join our colleague Oliver on his journey toward deploying his work done in R with the help of neat Docker containers.

Help yourself to these free books, tutorials, packages, cheat sheets, and many more materials for R programming. There’s a separate overview for handy R programming tricks. If you have additi…

CRAN Task View: Empirical Finance. Contribute to eddelbuettel/ctv-finance development by creating an account on GitHub.

A CRAN task view for computational environments and reproducibility - o2r-project/ctv-computational-environments

Swagger is a collection of HTML, Javascript, and CSS assets that dynamically generate beautiful documentation from a Swagger-compliant API. - rstudio/swagger

R-hub API client. Contribute to r-hub/rhub development by creating an account on GitHub.

:cloud: R interface to the Dark Sky API [APPLE IS SHUTTING DOWN THE API 2021-12-31] - hrbrmstr/darksky

Tools to work with the Google DNS over HTTPS API in R - hrbrmstr/gdns

🐦 R client for interacting with Twitter's [stream and REST] APIs - ropensci/rtweet

:hash: A package to send webhook API messages to Slack.com channels/users from R - hrbrmstr/slackr

Package to call the todoist API. Manage your ToDo lists with todoist from R. - ThinkR-open/rtodoist

R interface to todoist.com. Contribute to emitanaka/rtodoist development by creating an account on GitHub.

GitHub Actions for the R community. Contribute to r-lib/actions development by creating an account on GitHub.

Manage environments for data science.

GH Repo

In-depth discussion of the major functionality of targets.

Demo shiny app package for cloud deployment. Contribute to curso-r/shinygcp development by creating an account on GitHub.

Here are our favorite RStudio shortcuts and tips for working with the RStudio IDE. We cover keyboard shortcuts, custom code snippets, addins, and more.

Weekly News in R Community

I’ve been asked more and more for hints and best practices when working with R. It can be a daunting task, depending on how deep or specialised you want to be. So I tried to keep it as balanced as I could and mentioned point that definitely helped me in...

The stuff you need to know about R, besides statistical analysis.

Writing R Extensions covers how to create your own packages, write R help files, and the foreign language (C, C++, Fortran, …) interfaces.