I would also check out dplyr for data munging. Since most of the code in dplyr is written in C++ it is much faster than the munging capabilities you probably used when you were using R years ago.
The same can be said about R. Rcpp makes it super easy for you to drop right into C++ for bits of code that need that level of performance.
We at RStudio are actually working on a hosted version of Shiny which may be of interest. We have modeled it after the Heroku model, but obviously very much tailored towards hosting R sessions. If you would like to be…
I would also check out dplyr for data munging. Since most of the code in dplyr is written in C++ it is much faster than the munging capabilities you probably used when you were using R years ago.
The same can be said about R. Rcpp makes it super easy for you to drop right into C++ for bits of code that need that level of performance.
We at RStudio are actually working on a hosted version of Shiny which may be of interest. We have modeled it after the Heroku model, but obviously very much tailored towards hosting R sessions. If you would like to be…