R

: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.

DASE Data Analysis in Software Engineering

In 2019, RStudio spent over 50% of its engineering resources on open-source software, and led contributions to over 250 open-source projects, targeting a broad range of areas.

This is a workshop for RStudio::conf(2020) in San Francisco, California

This guide walks through the process of developing an R package

A guide to authoring books with R Markdown, including how to generate figures and tables, and insert cross-references, citations, HTML widgets, and Shiny apps in R Markdown. The book can be exported to HTML, PDF, and e-books (e.g. EPUB). The book style is customizable. You can easily write and preview the book in RStudio IDE or other editors, and host the book wherever you want (e.g. bookdown.org).

A guide to building scalable Shiny Datbase applications

This is an example of writing an R package using the Literate Programming (LP) technique, implemented through the knitr package and Makefile. It only shows you the idea, and I do not mean you must use …

This book showcases short, practical examples of lesser-known tips and tricks to helps users get the most out of these tools. After reading this book, you will understand how R Markdown documents are transformed from plain text and how you may customize nearly every step of this processing. For example, you will learn how to dynamically create content from R code, reference code in other documents or chunks, control the formatting with customer templates, fine-tune how your code is processed, and incorporate multiple languages into your analysis.