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.
__
sible 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
laying 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.)
>>
>> --
>
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