These solutions work on Linux, MacOS, and even Windows operating systems. The answers turn out to be very similar, but when the computers are not on the same network, the solution is just a wee bit more complicated. The laptop and desktop are not on the same local network.The laptop (or “slow” computer) and desktop (or “fast” computer) are on the same local network, or.In order to best solve this problem, we need to recognize two main scenarios: In this entry, I show how to create remote R sessions with ease using RStudio Server, Docker (optionally), and Tailscale. In those cases, we’d like to run R on the fast computer but also access it remotely from other computers. Sometimes we’re lucky enough to have a powerful desktop computer somewhere that could run those tasks with much greater speed, but we either don’t like using them (maybe they have windows installed!) or we don’t have physical access to them. ![]() Or maybe it is not possible for us to leave the computer running alone for a long time. It’s often the case that we write code and manuscripts on computers that are not powerful enough to run complicated data analyses.
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