No Clocks

:rocket: R package: future: Unified Parallel and Distributed Processing in R for Everyone - HenrikBengtsson/future

htmlwidget that binds d3js collapsible trees to R and Shiny to make an interactive search tool - yonicd/d3Tree

R's data.table package extends data.frame:. Contribute to Rdatatable/data.table development by creating an account on GitHub.

An R package to create data libraries and data dictionaries. - dbosak01/libr

Install and run external command-line programs in R through use of Docker and online repositories.

tidyr + jsonlite are magical.

With most computers now having many cores, parallelising your R code is a great way to reduce processing time, and there are lots of packages to help. But if you benchmark your new code, you may fi…

coalesce is a one of those functions that might not strike you as being very useful, mainly because it doesn’t sound very exciting. But it IS useful, and might save you some time and complexity

BRowse Over Longitudinal Data Graphically and Analytically in R - njtierney/brolgar

Display HTML Elements on Full Screen in 'Shiny' Apps Using 'Screenfull.js' - etiennebacher/shinyfullscreen

Some R-based tools for navigating the online news landscape - jaytimm/quicknews

I was serious, you don't need to be a SQL expert to work with Databases through R

Automated testing for shiny apps. Contribute to rstudio/shinytest development by creating an account on GitHub.

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.