On June the 6th, 2019, Rstudio is partnering with ThinkR to offer you a one day event around “R in production”. See you in Paris! If you’re an experienced developer or a decision-maker looking to learn more about what R and RStudio have to offer, then this event made is for you! During the first part of the event, there will be two workshops, from 2 to 5: From 2.30 to 3.30:  How to create a production-ready Shiny application with the {golem} package.  From 4.00 to 5.00: Best practices for using RStudio products in production. Following these “technical” workshops, we’re happy to welcome you forRead More →

Because I was tired of typing the same thing over and over. I finally took the time to make myself a little Rstudio snippet. To do this just go to Tools > global Option > code > edit snippet and to add in the list these few lines : snippet aa ${1:dataset} <- ${1:dataset} %>% ${0} This is the Result :Read More →

In this article, I will introduce the approach we use at ThinkR for Shiny applications we design. This is a relatively strict framework but designed to simplify our life and guarantee to deliver a “prod ready” application (whether it is launched locally, on shinyserver, Rconnect or via ShinyProxy with docker). This framework simplifies application maintenance and collaborative work. A Shiny application in a package R A R library model for a Shiny application In this article, I will present an approach, which is still in progress. We have built ShinyApps for a long time now, thus we considered our approach to be mature enough to freezeRead More →