I'm looking for a solution for the same problem.
However, there exists another framework that handles this problem: DeployR from Revolution analytics.
I've run some tests, and I succesfully ran some code on a remote machine.
Downside of DeployR is the massive amount of overhead compared to R.NET
I'm talking about multiple abstraction layers between (remote) R and (local) C#.
This gives you more options about how to handle executed R scripts (asynchronous, blocking, polling, background jobs, etc, etc),
but your code will become more complex in handling these requests and responses.
So right now I'm looking for the simplicity of R.NET and the availabilty of remote connections like in DeployR.
Someone?
However, there exists another framework that handles this problem: DeployR from Revolution analytics.
I've run some tests, and I succesfully ran some code on a remote machine.
Downside of DeployR is the massive amount of overhead compared to R.NET
I'm talking about multiple abstraction layers between (remote) R and (local) C#.
This gives you more options about how to handle executed R scripts (asynchronous, blocking, polling, background jobs, etc, etc),
but your code will become more complex in handling these requests and responses.
So right now I'm looking for the simplicity of R.NET and the availabilty of remote connections like in DeployR.
Someone?