No Clocks

On the jobs-to-be-done and design principles for internal tools

Provides a shiny-based front end (the 'ExPanD' app) and a set of functions for exploratory data analysis. Run as a web-based app, 'ExPanD' enables users to assess the robustness of empirical evidence without providing them access to the underlying data. You can export a notebook containing the analysis of 'ExPanD' and/or use the functions of the package to support your exploratory data analysis workflow. Refer to the vignettes of the package for more information on how to use 'ExPanD' and/or the functions of this package.

Contribute to jsugarelli/shinyfilter development by creating an account on GitHub.

all-contributions as an R package. Contribute to ropenscilabs/allcontributors development by creating an account on GitHub.

Add a download button to a 'shiny' plot or 'plotly' that appears when the plot is hovered. A tooltip, styled to resemble 'plotly' buttons, is displayed on hover of the download button. The download button can be used to allow users to download the dataset used for a plot.

A Toolbox for Non-Tabular Data Manipulation. Contribute to renkun-ken/rlist development by creating an account on GitHub.

:rocket: R package: doFuture - A Universal Foreach Parallel Adaptor using the Future API of the 'future' Package - HenrikBengtsson/doFuture

R package: parallelly - Enhancing the 'parallel' Package - HenrikBengtsson/parallelly

: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.

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

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.

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...

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

Automatic testing of R packages. Contribute to ropenscilabs/autotest 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.

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.

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 put Shiny Server Pro in a Docker container, but licensing must be handled explicitly. For this configuration, we recommend using a floating license server on hardware or a static VM, on the...