On Fri, Jan 2, 2009 at 8:40 PM, Dylan Beaudette <dylan.beaude...@gmail.com> wrote: > On Fri, Jan 2, 2009 at 4:55 AM, Jarek Jasiewicz <jar...@amu.edu.pl> wrote: >> Hi >> I tirend used r.quantile on SRTM data for Poland (min value about to 0, max >> value about to 2500 m a.s.l) >> >> r.quantile input=pol...@permanent quantiles=4 >> percentiles=0.001,0.01,0,1,0.25,0.50,0.75,0.90,0.99,0.999 bins=1000000 >> >> and I recived: >> >> 0:0.000000:0.000000 >> 1:0.001000:0.000000 >> 2:0.010000:0.000000 >> 3:0.250000:0.000000 >> 4:0.500000:1.000000 >> 5:0.750000:2.000000 >> 6:0.900000:3.000000 >> 7:0.990000:3.000000 >> 8:0.999000:3.000000 >> 9:1.000000:3.000000 >> >> It looks like the results are divided by 1000 and rounded to the nearest >> integer. >> >> Did I something wrong? >> >> Jarek >> > > I thought that the user supplies one of [quantiles=] | [percentiles=] > ... could that be related to the odd output. I have verified (with R) > that r.quantile can compute correct quantiles... however, on my system > I need to set bins=100 or so, as the higher i set 'bins' odd things > would happen. > > Glynn should know for sure.
Can you please file a bug report on this? Preferable with a Spearfish/NC reproducible example? Thanks Markus _______________________________________________ grass-user mailing list grass-user@lists.osgeo.org http://lists.osgeo.org/mailman/listinfo/grass-user