(copy of earlier reply which was not addressed to r-help. Also added
informative Subject:)
"yes ......" is not responsive to the question of how you propose to
display or examine such a mathematical object. My signature was
perhaps a lame (certainly an ineffective) effort at getting you to
acknowledge that there might, just might, be some conceptual
difficulties in "viewing" a 5+1 = 6 dimensional object.
Can you point to any examples of such a procedure being applied in a
manner that you find helpful? It is certainly feasible to calculate
distances in 5-space, but the next step, displaying the
"concentration" of those distances as a function of the coordinates,
would be the "tough nut".
(1000 data points is not a problem. That amount of data should easily
fit in any device that can run R.)
--
David
On Jun 4, 2009, at 12:06 AM, arijit kumar debnath wrote:
> yes......
> I want a density estimator for 5 dimensional data.I want it to be
> efficient since I don't have access to a fast computer.My data set
> is quite large(about 1000 data points) and I have only a pentium 4
> 1.7 Ghz (512 Mb RAM)computer.
>
> On Thu, Jun 4, 2009 at 7:25 AM, David Winsemius <dwinsem...@comcast.net
> > wrote:
> We can get you a kde2d but you really want a kde5d? What sort of
> display are you proposing?
>
> --
> David "Earthling" Winsemius
>
> On Jun 3, 2009, at 9:26 PM, arijit kumar debnath wrote:
>
> I want to fit a kernel density to a data-set of size 1000 and each
> data point being of dimension 5. The default density function does'nt
> work for me. Is there any other function available which can do the
> job efficiently.........?
> I don't have access to a very fast computer.
David Winsemius, MD
Heritage Laboratories
West Hartford, CT
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