Once you are doing any data programming, it is highly recommended you start using version control, and for R in particular Github is highly recommended due to its thriving R community.
A full walkthrough on using Github with R can be found in this Jenny Bryan online book (who is also the author of the googlesheets package for R).
A few reasons to persuade you to use Github are given below:
If you have ever created local versions of files final_data.csv, final_data2.csv, final_datav3_minusSEO.csv etc., then you would benefit from version control. Version control lets you freely modify and delete/add to a one file, and not worry that you are losing drafts.
Github is like a social network for code. You can follow your favourite packages on Github and see how they develop (Comments and feature suggestions on libraries like googleAnalyticsR are warmly welcomed!)
Once collaborating with someone not in the same room, Github can be invaluable to keep track of who changed what and when.
It can support any file - once comfortable with Github the author uses it to track all documents such as word documents, PDFs, etc.
For free you can have unlimited public repositories, for a fixed fee you can have unlimited private ones.
Github hooks into many other services via its webhooks, that lets you do things like schedule reports, run code every time you commit, push your code to other servers, post to Slack, etc.
Advice for using Github with R
RStudio comes with its own Git client installed already, which is ok for basic pulls and pushes, but you may want to consider a Github desktop client such as Github’s or Bitbucket.