Tips for Reproducible R
In this talk there will be a number of tips and tricks to make R projects more reproducible. Ranging from "data analysis" that we would like to be able to repeat in a year or just on another computer to getting e.g. Shiny apps shipped for others to run. We will also get into using R with Docker.