devindocker package logo for development in docker container

2020-11-07 / Sébastien Rochette / development, docker, package, rstudio

How to develop inside a Docker container to ease collaboration?

To ensure the reproducibility of your projects, you can develop in the Docker container that you will use to share your work. Indeed, what to do when your data analyses, publications, models are used by users with different versions of operating systems and R packages R? How do you ensure that your Dockerfile delivered with your package or project is ...


2019-08-19 / Sébastien Rochette / development, docker, package, server, shiny

Dash with golem: First contact

{golem} has been developed to help building big Shiny application to put in production. What if {golem} could be used to build another popular interactive web application, recently made available to R programmers: Dash ? Dash, a newcomer in interactive web applications A few days ago, Plotly announced Dash now available for R. After reading this announcement, I thought this ...

2019-04-28 / Sébastien Rochette / database, docker, maps, tips

Interact with PostGIS from R

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 ...

2018-09-20 / Cervan Girard / docker, server, shiny, shinyproxy

Shiny application in production with ShinyProxy, Docker and Debian

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 ...

2018-06-07 / Colin Fay / docker, package, server

Dockerise and deploy your own R Archive Repo

There are several reasons you would want to deploy your own R archive repo: you don’t want to rely on GitHub for your dev packages, you want to use a more “confidential” way, or maybe (and that’s good enough a reason), you’re a nerd and you like the idea of hosting your own repo. So, here’s how to. ...