If you don't care about your bin size, and the values are sorted by z value, a straightforward way is:
$n = 57; # or whatever $bounds = $z->(0:-1:$n); $box_z = ($bounds->(1:-1) + $bounds->(0:-2))/2; $box_freq = $n/($bounds->(1:-1) - $bounds->(0:-2)); On Jun 30, 2009, at 8:29 AM, Hernán De Angelis wrote: > 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 > _______________________________________________ Perldl mailing list [email protected] http://mailman.jach.hawaii.edu/mailman/listinfo/perldl
