Hi,

I am now working with the R-package for quite some time, and I have to say that R is much more fun with this package. However, I still haven't found a workflow that completely satisfy me.

I started with sending the code directly to the R-app. That works ok, but you have to switch between two programs, which sometimes can get cumbersome.

After that I tried the Rdaemon and executed my code directly in textmate. At the beginning I was really impressed by these capabilities. Unfortunately it gets a little bit problematic with bigger scripts, in my experience. When I parse a lot of code (sometimes with some errors), I can't do anything anymore. And I can't exit ongoing calculations so that I often end up force quitting textmate.

Executing code by parsing it to the Rdaemon in the background is also not really a solution. It's difficult to get feedback on errors With a lot of code, you can't see when it is finished.

Also it seems like parsing a lot of code is in general error prone.

So for some lines of codes the Rdaemon is perfect, but for larger scripts it can get a little bit tricky.

For large scripts I think the bash-option ("Run Document / Selection in R") is really great.

So now, here is my question: ;)

Sending R-code within Textmate and then outputting it with the html-window within textmate is great (especially with TM2 where you have an integrated output window). However, every time I send code through "Run Document / Selection in R", it seems like I start a new R-session. It would be great (at least for me) if R would remember all the code that was executed so far (just like the Rdaemon which just keeps running in the background).

So is it possible to send code to R and keep this session open?

for example, if I send: x <- c(1,2,3) with "Run Document / Selection in R"

and after that I send: print(x)

I get: Error in print(x) : object 'x' not found

It would be great, if the session would be persistent, so that I actually can execute code stepwise (just like you can do that with the Rdaemon).

A big thanks for the great work on the R-package!

best, martin