[R] Performance & capacity characteristics of R?

[Karsten M. Self]

I'm in the midst of my own response to Prof Ripley's post.  This item is
of some interest however.

Terry J. Westley wrote:
> 
> > On Tuesday, August 03, 1999 4:15 AM, Prof Brian D Ripley wrote:
> > Can you tell us what statistical procedures need 1 million to 100s of

> I won't speak for Karsten, but will describe my own use of R for
> (potentially) large datasets, just to give you an idea of what at
> least one large dataset user is attempting to do...
> 
> The application is a simulation of radar detection and tracking of
> aircraft.  The data collected is radar detections and tracks.  There
> are potentially (though not typically) 200 radars by 200 aircraft in
> the simulation.  In this extreme case, I expect to collect approx.
> 2GB of data in a 4-hour simulation run.  Fortunately, this is not
> typical; I'm trying to get a better handle on what's typical.

Is there anything about the problem or analysis which precludes
partitioning this dataset by radar and/or aircraft, or sets thereof?  

The general case in my experience is that although aggregate data may be
very large, the sets used in actual analysis are either subset or
summarized to much smaller volumes.

> --
> Terry J. Westley, Principal Engineer
> Veridian Engineering, Calspan Operations
> P.O. Box 400, Buffalo, NY 14225
> twestley at buffalo.veridian.com    http://www.veridian.com

-- 
Karsten M. Self (kmself at ix.netcom.com)
    What part of "Gestalt" don't you understand?

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