Dylan Beaudette pisze:
On Fri, Jan 2, 2009 at 4:55 AM, Jarek Jasiewicz <[email protected]> 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
Thanks
it really seems that the problem was in default number of bins
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