1. Unless there is good reason not to, always cc the list, which I have
done here.
2. I should have added that memory usage and possible swapping issues also
depends on what other software you have running, not just on how much
memory you have.
In other words, I see no way to answer your question without some sort of
local diagnostics. Perhaps others might have a better idea.
-- Bert
Bert Gunter
"The trouble with having an open mind is that people keep coming along and
sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )
On Tue, Jul 24, 2018 at 2:24 AM, louis DALPRA <dalpra.louis at gmail.com>
wrote:
> Hello Bert,
>
> First thank?s a lot for your answer !
> My memory resource is ? 4 go 1600 Mhz DDR3 ?, for my teacher?s computer I
> don?t know but I?ll ask him. You can find in attachment the code I?m using
> if you want to look at it (the model and 2 functions that are called). Is
> there a way to know for sure if it?s caused by memory limitation ?
>
> Have a nice day,
> Louis
>
> Le 22 juil. 2018 ? 19:20, Bert Gunter <bgunter.4567 at gmail.com> a
?crit :
>
> You did not say what memory resources were in the two cases, and it is
> probably impossible to say without knowing what code you ran in any case.
> That you have different versions of OS and R on the two computers already
> means that there could be many possible explanations, but one wild guess is
> that on your computer/R version/OS version you are memory limited and
> swapping to and from disk, while on the other you are not. This may well be
> nothing more than stupid speculation, though.
>
> Cheers,
> Bert
>
> Bert Gunter
>
> "The trouble with having an open mind is that people keep coming along
and
> sticking things into it."
> -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip
)
>
> On Sun, Jul 22, 2018 at 5:24 AM, louis DALPRA <dalpra.louis at
gmail.com>
> wrote:
>
>> Hello,
>>
>> My issue is related to the time it takes to run a model on R between
two
>> different computers. On my teacher?s computer (MacBook Pro 2013; OS
10.9.5;
>> R version 3.1.3) it takes only a few minutes to run it while on mine
>> (MacBook Air 2014; OS 10.13.6; R version 3.5.1) it takes several hours.
I
>> checked for malware, and reinstalled the system but still no changes.
Does
>> any one have an idea on what might be the issue ?
>>
>> In advance thank?s for your time and answers.
>> ______________________________________________
>> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
>> https://stat.ethz.ch/mailman/listinfo/r-help
>> PLEASE do read the posting guide http://www.R-project.org/posti
>> ng-guide.html <http://www.r-project.org/posting-guide.html>
>> and provide commented, minimal, self-contained, reproducible code.
>>
>
>
>
>
>
>
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