No Clocks

Automate package and project setup tasks that are otherwise performed manually. This includes setting up unit testing, test coverage, continuous integration, Git, GitHub, licenses, Rcpp, RStudio projects, and more.

The R task Force - R experts for all your needs

(Or, how to write a Shiny app.R file that only contains a single line of code) This post is long...

Contribute to jdbarillas/executive_summary development by creating an account on GitHub.

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

Overview RStudio Desktop stores its internal state in a hidden directory called RStudio-Desktop. If this directory does not exist, RStudio will create it on start up. This directory includes inform...

At RStudio, I have the pleasure of interacting with data science teams around the world. Many of these teams are led by R users stepping into the role of analytic admins. These users are responsible for supporting and growing the R user base in their organization and often lead internal R user groups. One of the most successful strategies to support a corporate R user group is the creation of an internal R package.

My workflow is like below: Plan out the type of app. For a lot of applications, sometimes a htmlwidget in Rmd will do, and covers more cases as time goes on and javascript gets cooler. This is preferable as then you can publish to any server, not needing Shiny. But if it needs more server side interaction, I look at using flexdashboard to keep Rmd elements, but have shiny embedded. If its a big app though, its easier to keep track using a ui.R or a HTML template. I have a HTML template ba...

A complete and consistent functional programming toolkit for R.

extensions for shinydashboard. Contribute to RinteRface/shinydashboardPlus development by creating an account on GitHub.

The jQuery plugin that brings select elements into the 21st century with intuitive multiselection, searching, and much more. Now with Bootstrap 4 support.

Most dplyr verbs use "tidy evaluation", a special type of non-standard evaluation. In this vignette, you'll learn the two basic forms, data masking and tidy selection, and how you can program with them using either functions or for loops.

RStudio provides free and open source tools for R and enterprise-ready professional software for data science teams to develop and share their work at scale.

Open source and enterprise-ready professional software for data science