In today's social world, it's important to be able to collaborate with others online when working with data, and to be able to easily share your outputs online. Fortunately, the R language and the broad R community provides a number of facilities for collaboration and sharing, which are summarized in Noam Ross's guide to tools for collaboration with R. Among the resources he lists:
- Crowdsourced learning: the R-help mailing list, the R tag on Stack Overflow, and the the R tag on Cross-Validated.
- R programming collaboration with Dropbox and Github.
- Package creation and sharing with RStudio.
- Code sharing with Github Gists.
- Output sharing and online reporting with knitr.
- Application sharing with Shiny.
Noam provides detailed guides and many useful tips for getting the most out of these services, and also provides links to other online communities where you can interact with other R users. You can get all the details at his blog post linked below.