This isn't a question specifically about RStudio/R, but rather on data science projects more generally. What sort of practices have you found are critical when working on projects as a team, rather than as an individual? How do you structure projects, define roles and responsibilities, segregate tasks, etc.?
My boss and I were working on a project together which quickly became just him working in tunnel-vision and delivering something that didn't end up working. To his credit, he recognized the failure and now we're trying to brainstorm how to better collaborate on data science projects, and it's not intuitive for either of us, as we're both used to delivering from start to finish.