If you sort the (z,r) data by z you can use the histogram counts to calculate ranges of index values corresponding to each bin. range() or other indexing operation can select the sets to calculate your desired stats.
--Chris Hernán De Angelis wrote: > Dear PDL'ers, > > I am stuck with an apparently simple problem and hoped that someone in > this list might have a clue. > > I have approx. 130000 pairs of data, z and r, which represent > observations of some function r at some coordinate z. > A sample of the data looks like this: > > z r > > 3311 311.817 > 3346 249.333 > 3238 353.368 > 3279 367.020 > 3347 324.405 > 3448 274.632 > 3161 310.469 > 3204 358.739 > ...... ...... > > These observations come from a three dimensional space, and therefore > there exists more than one r value for each value of the coordinate z. > What I want to do is to estimate a gross distribution of r values > versus z. Simple as it seems I am having troubles to set up a PDL code > to compute it. > _______________________________________________ Perldl mailing list [email protected] http://mailman.jach.hawaii.edu/mailman/listinfo/perldl
