On Sun, 16 Nov 2008, Prof Brian Ripley wrote:

This is what e.g. package snow does: it will also collect the results for you. See also package pvapply.

Typo: 'papply'


On Sat, 15 Nov 2008, [EMAIL PROTECTED] wrote:

Dear R-help,

Please forgive me if any of the following sounds naieve/confused, i've
just got back from a mini-pub-crawl, slightly tipsy, and am feeling
brave to ask a possibly silly question... also, not to shiny on the
technical side of things.

Problem - I need to text mine a collection of 10,000 plain text
documents, all of which are sitting in a single folder. i don't have
any money to buy a database package, and even if i did i have no idea
how that would speed things up if i want to do all the processing in
R

Assumption - It is my understanding that R can only use one processor
on a machine when handeling calculations. If you wanted to use 4
processors, than you would have to open up 4 seperate instances of R
and share the work between them eg. give each instance of R 25% of the
documents you want processed

Question - It is possible to have one instance of R to divide the
workload, and then that instance opens up 4 other instances of R to do
the processing?

Or, is sometihng akin to tabbed browsing, where you have one main
window and several tabs, each corresponding to a different instance of
R?

appologies if none of hte above made sense  :o)

Clair xx


O/S: Windows Vista
R 2.8.0

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--
Brian D. Ripley,                  [EMAIL PROTECTED]
Professor of Applied Statistics,  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

______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.


--
Brian D. Ripley,                  [EMAIL PROTECTED]
Professor of Applied Statistics,  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

______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.

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