Dear Bert and Mel,
thanks for your help, but I'm afraid this doesn't solve my problem.
As I wrote in my previous mail (cf quote below) in most cases I will not be
able to modify the code of the function that I want to run. This is why I
was asking for a wrapper solution similar to what tryCatch does. I have
hinted at a very inelegant version that generates a new R process for each
function run and kills the process after a given time. But I'm sure there
must be something more elegant. I hope I have been clear enough in my
problem description.
Thanks again,
Lukas
Here is what I wrote before:
Note that mostly these functions are not written by me and not R code (like
nlme for example), so it is not feasible to adapt the function itself.
Rather, it needs to be a wrapper around the function, similar to tryCatch.
On Wed, Apr 2, 2008 at 5:23 PM, mel <[EMAIL PROTECTED]> wrote:
> Lukas Rode a écrit :
>
> > Nowever, with regard to #2, I am lost. I would like to set a maximum
> time
> > limit (say, 1 minute) and if my procedure is still running then, I would
> > like to move on to the next model.
>
>
> begin_time = as.difftime(format(Sys.time(), '%H:%M:%S'), units='secs');
> for(...)
> {
> ...
> current_time = as.difftime(format(Sys.time(), '%H:%M:%S'), units='secs');
> delay = current_time - begin_time;
> if (delay>60) return();
> }
>
> a counter may also be enough
>
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