02-AREAS

Tools to easily enable R scripts in the Google Cloud Platform. Utilise cloud services such as Cloud Run for R over HTTP, Cloud Build for Continuous Delivery and Integration services and Cloud Scheduler for scheduled scripts.

A database interface (DBI) definition for communication between R and RDBMSs - r-dbi/DBI

:package: Generate citations for knitr markdown and html files - cboettig/knitcitations

Add Tooltips in 'Shiny' Apps With 'Hint.css'. Contribute to etiennebacher/prompter development by creating an account on GitHub.

A parenting project to catalog my childrens' 2020 library history

R packages make it easier to write robust, reproducible code, and modern tools in R development like usethis make it easy to work with packages. When you write R packages, you also unlock a whole ecosystem of tools that will make it easier to test, document, and share your code. Despite these benefits, many believe package development is too advanced for them or that they have nothing to offer. A fundamental belief in Zen is that you are already complete, that you already have everything you need. I’ll talk about why your project is already an R package, why you’re already an R package deve...

by Hong Ooi This is an update on what’s been happening with the AzureR suite of packages. First, you may have noticed that just before the holiday season, the packages were updated on CRAN to change their maintainer email to a non-Microsoft address. This is because I’ve left Microsoft for a role at Westpac bank here in Australia; while I’m sad to be leaving, I do intend to continue maintaining and updating the packages. To that end, here are the changes that have recently been submitted to CRAN, or will be shortly: AzureAuth now allows obtaining tokens for the “organizations”...

We continue to improve {attachment} functionalities to help you deal with dependencies in R, in particular during package development.

Powerful replacements for base::system2. Contribute to jeroen/sys development by creating an account on GitHub.

syn - the thesaurus. Contribute to ropenscilabs/syn development by creating an account on GitHub.

Contribute to ropenscilabs/actions_sandbox development by creating an account on GitHub.

Automatic testing of R packages. Contribute to ropenscilabs/autotest development by creating an account on GitHub.

General purpose API response tidier. Contribute to ropenscilabs/roomba development by creating an account on GitHub.

A docker tutorial for reproducible research. Contribute to ropenscilabs/r-docker-tutorial development by creating an account on GitHub.

Lots of change in the latest vcr release.

Materials for rstudio::conf. Contribute to rstudio/rstudio-conf development by creating an account on GitHub.

The first official book authored by the core R Markdown developers that provides a comprehensive and accurate reference to the R Markdown ecosystem. With R Markdown, you can easily create reproducible data analysis reports, presentations, dashboards, interactive applications, books, dissertations, websites, and journal articles, while enjoying the simplicity of Markdown and the great power of R and other languages.

An experimental R package for retrieving R pacakge informatiom.

A fast, easy-to-use database library for R. Contribute to ankane/dbx development by creating an account on GitHub.

Learn to connect, explore and query database from R

You can run more kinds of apps on Cloud Run thanks to support for WebSockets, HTTP-2 end-to-end gRPC bidirectional streaming.

No interruptions. That was our team’s goal for RStudio Package Manager 1.1.0 - we set out to make R package installation fast enough that it wouldn’t interrupt your work. More and more data scientists use Linux environments, whether to access extra horsepower during development or to run production code in containers. Unfortunately, the rise in Linux environments has seen a corresponding increase in package installation pain. For Windows and Mac OS, CRAN provides pre-compiled binary packages that install almost instantly, but the same binaries are not available on Linux.

Customizing Package Build Options Overview There are three R package build commands used by the RStudio package development tools: R CMD check R CMD build R CMD INSTALL It's possible to c...

You can now use your proprietary R packages in your shinyapps.io environment. To do so, your package does need to be hosted on in a private github repository (public github repositories have alway...

Upgrading from Open-Source to Pro If you currently have Shiny Server Open-Source installed and want to upgrade to the Pro version, the process is very simple. You can do so with no worries about y...