“should we use shinyApp() or runApp() when deploying to production?” ...

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 ...

We are pleased to announce that our package {attachment} is now available on CRAN. The goal of attachment is to help to deal with package dependencies during package development. It also gives useful tools to install or list missing packages used inside Rscripts or Rmds. Deal with dependencies during package development If you ever had the following error when checking ...

Shiny App as a Package In a previous post, I’ve introduced the {golem} package, which is an opinionated framework for building production-ready Shiny Applications. This framework starts by creating a package skeleton waiting to be filled. But, in a world where Shiny Applications are mostly created as a series of files, why bother with a package? This is the question ...

PostGIS extends capabilities of PostgreSQL database to deal with spatial data. Using PostGIS, your database supports geographic queries to be run directly in SQL. In this blog post, we will connect and interact with a PostGIS database from R, using {DBI} and {sf}. Package {sf} and PostGIS are friends Package {sf} is similar to PostGIS database in multiple ways: R ...

Can mapping tools be diverted to other uses? Of course ! See how we play with leaflet and leafgl to quickly render a giant waffle made of millions of polygons. Spatial tools are not only for spatial data At SatRday in Paris, I presented a talk entitled “Everything but maps with spatial tools”. The aim is to show that there ...

Second part of the blog transcription of the talk I’ve given during the eposter session of the rstudio::conf(2019). Read the first part here. This post is at the premise of our book: https://engineering-shiny.org/. You will find all complementary information in it. Building Big Shiny Apps: step by step Step 1: Designing Don’t rush into coding. I know you want to, ...

This is gonna be a short post about a little trick I’ve been using while developing Shiny Apps. (Spoiler: nothing revolutionary) A browser anywhere, anytime The first thing to do is to insert an action button, and a browser() in the observeEvent() watching this button. This is a standard approach: at any time, you just press this button, and you’re ...

During the rstudio::conf(2019L), I’ve presented an eposter called “Building Big Shiny Apps — A Workflow”. You can find the poster here, and this blog post is a transcription of what I’ve been explaining while presenting the poster. ...

After living for more than a year on GitHub, we are pleased to announce that the {remedy} package is now on CRAN.  ...

For the last months, ThinkR has been involved (with Mango, Procogia and the Linux Foundation) in a working group for an RConsortium R Certification.  ...

Once upon a time, there was a team of fearless R knights who started a new quest: they were missioned to bring the almighty Google Auth into the wonderful world of ShinyProxy. Here is their story, told from the inside.   In the beginning, there was a container For those amongst our readers who do not know ShinyProxy, this open ...

You created some great Shiny applications, following our advice of Shiny packaging for example, and you want to put them into production, self-hosting, so that others can enjoy them, without limitations, on the Internet or on an internal server of your company? ShinyProxy is for you! ShinyProxy v2.0 has recently been released. What a great opportunity to talk about its ...

You did an experiment or a survey, or you collected data, and you are ready to analyse them. But what is the first step? Everyone will tell you that you have to visualise your data with graphs. Yes, but how? and why? What are the common pitfalls to avoid? We are very grateful to Marion Louveaux, bio-image data analyst for ...

Managing packages in production is a lot of work: you have to juggle between versions, internal packages, CRAN updates, Bioconductor, GitHub sources… Let’s have a look into Posit RStudio Package Manager, one of the tools available that helps you dealing with this. What is love RSPM (Baby don’t hurt me, no more 🎶) RStudio Package Manager (or RSPM for short) ...

A blogpost inspired by a tweet and a YouTube video. ...