On 4/2/2008 12:00 PM, Lukas Rode wrote:
> 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.
On some systems (not Windows) you could ask some external process to
send a signal after a certain time interval, and I believe you can write
you code to recover afterwards. I don't know any reasonable way to do
this on Windows.
Duncan Murdoch
>
> 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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>>
>
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>
>
>
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