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. Dylan _______________________________________________ grass-user mailing list grass-user@lists.osgeo.org http://lists.osgeo.org/mailman/listinfo/grass-user