Prof Ripley:
Thank you for the help.
- I used the "manual" option because it was suggested in some postings
because it shows the parameters being used. The behavior was the same with
and without the "manual" option (I needed to use ESC to get out).
- Would there be some limitation in my hardware that would prevent the
snow package to work?
- Is there some sort of diagnostics in the snow package that can report
setup difficulties?
- Are you saying my version of R is obsolete at 2/29/12? I could try to
use the new version of R to see if that makes a difference. But wouldn't
the snow code work the same since it hasn't been updated?
- I can look at the package parallel. I used snow because of an example
in the text "The Art of R Programming".
Jeff
On Thu, Sep 26, 2013 at 10:31 PM, Prof Brian Ripley
<rip...@stats.ox.ac.uk>wrote:
> You failed to mention this about contributed package 'snow' (and a long
> obsolete version of R: see the postin guide). That version of R has
> package 'parallel' which would be preferred. But it looks like you did
> not manually start the workers (and I am not sure why you would want to do
> that).
>
>
> On 27/09/2013 02:26, Jeffrey Flint wrote:
>
>> The command which hangs:
>> I'm hoping there is a simple explanation, but I searched on-line and
>> nothing jumped out.
>>
>> cl <- makeCluster(type="SOCK",c("**localhost"),manual=TRUE)
>>>
>> Manually start worker on localhost with
>> C:/PROGRA~1/R/R-214~1.2/bin/**Rscript.exe "C:/Program
>> Files/R/R-2.14.2/library/snow/**RSOCKnode.R" MASTER=localhost PORT=11944
>> OUT=/dev/null SNOWLIB=C:/Program Files/R/R-2.14.2/library
>> [HANGS]
>>
>>> cl <- makeCluster(type="SOCK",c("**localhost","localhost"),**
>>> manual=TRUE)
>>>
>> Manually start worker on localhost with
>> C:/PROGRA~1/R/R-214~1.2/bin/**Rscript.exe "C:/Program
>> Files/R/R-2.14.2/library/snow/**RSOCKnode.R" MASTER=localhost PORT=11944
>> OUT=/dev/null SNOWLIB=C:/Program Files/R/R-2.14.2/library
>> [HANGS]
>>
>> The computer:
>>
>> Dell Inspiron I6400
>> with T2300 Dual Core processor
>>
>>
>> The OS:
>>
>> version
>>>
>> _
>> platform i386-pc-mingw32
>> arch i386
>> os mingw32
>> system i386, mingw32
>> status
>> major 2
>> minor 14.2
>> year 2012
>> month 02
>> day 29
>> svn rev 58522
>> language R
>> version.string R version 2.14.2 (2012-02-29)
>>
>> ______________________________**________________
>> R-help@r-project.org mailing list
>> https://stat.ethz.ch/mailman/**listinfo/r-help<https://stat.ethz.ch/mailman/listinfo/r-help>
>> PLEASE do read the posting guide http://www.R-project.org/**
>> posting-guide.html <http://www.R-project.org/posting-guide.html>
>> and provide commented, minimal, self-contained, reproducible code.
>>
>>
>
> --
> Brian D. Ripley, rip...@stats.ox.ac.uk
> Professor of Applied Statistics,
> http://www.stats.ox.ac.uk/~**ripley/<http://www.stats.ox.ac.uk/~ripley/>
> University of Oxford, Tel: +44 1865 272861 (self)
> 1 South Parks Road, +44 1865 272866 (PA)
> Oxford OX1 3TG, UK Fax: +44 1865 272595
>
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