t;
>> I do not see to be anyway to contol the number of used cores, like set to
>> use only 4, or 8 or 16.
>>
>> Regards
>> Alex
>>
>>
>> From: R. Michael Weylandt
>> To: Alaios
>> Cc: R help
>> Sent: Tu
From: R. Michael Weylandt
Cc: R help
Sent: Tuesday, May 15, 2012 8:24 AM
Subject: Re: [R] Simple parallel for loop
I haven't actually used foreach very much myself, but I would imagine
that you could just take advantage of the fact that most plot
functions return their arguments sil
t; To: Alaios
> Cc: R help
> Sent: Tuesday, May 15, 2012 8:00 AM
> Subject: Re: [R] Simple parallel for loop
>
> Take a look at foreach() and %dopar$ from the CRAN package foreach.
>
> Michael
>
> On Tue, May 15, 2012 at 1:57 AM, Alaios wrote:
>> Dear all,
>&
, May 15, 2012 8:00 AM
Subject: Re: [R] Simple parallel for loop
Take a look at foreach() and %dopar$ from the CRAN package foreach.
Michael
> Dear all,
> I am having a for loop that iterates a given number of measurements that I
> would like to split over 16 available cores. The code
Take a look at foreach() and %dopar$ from the CRAN package foreach.
Michael
On Tue, May 15, 2012 at 1:57 AM, Alaios wrote:
> Dear all,
> I am having a for loop that iterates a given number of measurements that I
> would like to split over 16 available cores. The code is in the following
> form
Dear all,
I am having a for loop that iterates a given number of measurements that I
would like to split over 16 available cores. The code is in the following format
inputForFunction<-expand.grid(caseList,filterList)
for (i in c(1:length(inputForFunction$Var1))){#
FileList<-GetFileList
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