Many people in the statistics community and other academic fields use
R as their primary language for data analysis and statistical computing. It is a wonderful and versatile language that has become extremely popular across both academic and industry. The language has an interesting history which evolved as an improvement of the
S language produced by Bell Labs (see e.g., Chambers 2020). While it is a versatile language, the base version of
R has a few well-known draw-backs, such as difficulties dealing with "big data", lack of labels on variables, etc. This base functionality is often supplemented by popular packages, but new users can have difficulty learning the required methods.
R was developed essentially as an updated reprogramming of a previous language, it is natural to wonder if there might ever be an effort to create a new language that seeks to build on
R. In the event that such a project were ever to occur, what kinds of changes would be most useful to the statistical community?