Thanks, I will think about that.
Hernán 2009/6/30 Chris Marshall <[email protected]>: > 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. >> > > -- Hernán De Angelis Linux user # 397217 _______________________________________________ Perldl mailing list [email protected] http://mailman.jach.hawaii.edu/mailman/listinfo/perldl
