With our “PROPRE” Project Guide, get a publishing committee and a development team to collaborate on creating your automated reports using the “PROPRE” methodology. Follow our suggestions for organization, tools and R development practices, for a controlled and benevolent DevOps practice. It is possible to collaborate around git in a team composed of developers and non developers. In this guide ...

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 ...

At the last Raddicts Paris Meetup, Romain Francois (to be followed on twitter here) made one strong impression, among others, with his RStudio console which indicates the active git branch and the RAM memory used by R. If you too want to have this (to shine in society or because you spend your time doing git checkout):   Here is ...

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 ...

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) ...

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 ...