R help - Mar 2004 - Interpolation or Kriging

Hello!

Here is my problem, I have got a data set that contains values of 
intensity over a regular interval of time.
What I need to do is to resample this data set (or curve) at a 
different interval of time x (1000 predictions will be made to 
resample the curve).
So in order to perform such an operation I am required to do some 
kind of interpolation.
I know that through kriging, the interpolation result passes through 
the original data points.
I would be very incline to use such methods, but since I am not very 
used to work with R, I would like to know which function should I use 
and how.
Moreover I don't know if it is feasable, but I am looking for a fast 
routine since I got a total of 100000 data sets on which I will 
perform the operation just described.

Thanks a lot,
I will anxiously wait for a reply

Sebastien Durand

Sebastien,

Please have a look at the geostatistics packages refered to from

http://sal.agecon.uiuc.edu/csiss/Rgeo/

BTW -- is this page referenced from the R or CRAN home
pages? I couldn't find a link a few days ago.

Most of them may do what you want. I assume they can all
be fooled by providing one-dimensional data having a constant
second coordinate. Package gstat allows explicit specification
of one-dimensional data sets, but has no special provisions
for 1D data in terms of efficiency, compared to 2D data.
--
Edzer