R quantile gives the same result of QGIS with this dataset.
Please see the comments here: https://issues.qgis.org/issues/21451
Best regards,
Pedro Venâncio
Tobias Wendorff escreveu no dia segunda,
4/03/2019 à(s) 00:17:
> Am Mo, 4.03.2019, 01:02 schrieb Nyall Dawson:
> >
> > Sure, I don't
Am Mo, 4.03.2019, 01:02 schrieb Nyall Dawson:
>
> Sure, I don't think there was any misunderstanding here. Before you
> replied I'd already meant to ask if anyone knew the corresponding R
> packages we could check our implementations again.
Most of the time, I'm either using standard
On Mon, 4 Mar 2019 at 09:43, Tobias Wendorff
wrote:
>
> Am So, 3.03.2019, 23:50 schrieb Nyall Dawson:
> >
> > I'd be interested to hear which R libraries/functions you think give
> > better results then QGIS' current algorithms -- it should be trivial
> > to port these algorithms back to QGIS!
>
Am So, 3.03.2019, 23:50 schrieb Nyall Dawson:
>
> I'd be interested to hear which R libraries/functions you think give
> better results then QGIS' current algorithms -- it should be trivial
> to port these algorithms back to QGIS!
Oops, I didn't want to give the impression that QGIS's algorithms
On Mon, 4 Mar 2019 at 00:39, Tobias Wendorff
wrote:
>
> Am So, 3.03.2019, 08:31 schrieb Paolo Cavallini:
> > You're right, sorry.
> > Any way to improve this, perhaps taking a larger sample to reduce
> > variation?
> > Thanks.
>
> I've started to use R for all my statistical processing. Natural
On Mon, 4 Mar 2019 at 02:21, Richard Duivenvoorde wrote:
>
> On 03/03/2019 11.31, Richard Duivenvoorde wrote:
> >>> https://duif.net/temp/QuantileEqualCount2.png
> >> I can't reproduce. Maybe data set dependant?
> > I've created random data in a geopackage and created an issue for it
> >
> >
On 03/03/2019 11.31, Richard Duivenvoorde wrote:
>>> https://duif.net/temp/QuantileEqualCount2.png
>> I can't reproduce. Maybe data set dependant?
> I've created random data in a geopackage and created an issue for it
>
> https://issues.qgis.org/issues/21451
Mmm, diving into this a little more
Am So, 3.03.2019, 08:31 schrieb Paolo Cavallini:
> You're right, sorry.
> Any way to improve this, perhaps taking a larger sample to reduce
> variation?
> Thanks.
I've started to use R for all my statistical processing. Natural breaks
is some kind of kmeans-clustering, but R does natural jenks
On 03/03/2019 05.28, Nyall Dawson wrote:
> On Sat, 2 Mar 2019 at 17:41, Richard Duivenvoorde wrote:
...
>> BUT: looking into current code and testing the available break modes I
>> happen to look at the Quantile (Equal Count) one with a random dataset I
>> had around:
..
>>
You're right, sorry.
Any way to improve this, perhaps taking a larger sample to reduce variation?
Thanks.
Il 3 marzo 2019 05:33:04 CET, Nyall Dawson ha scritto:
>On Sat, 2 Mar 2019 at 22:09, Paolo Cavallini
>wrote:
>
>> we also noticed that for large data sets (tens of thousands records)
>>
On Sat, 2 Mar 2019 at 22:09, Paolo Cavallini wrote:
> we also noticed that for large data sets (tens of thousands records)
> `Pretty breaks` classification behaves strangely: when clicking on
> Classify repeatedly, classes boundaries change by about 10% all the
> time, apparently in a random
On Sat, 2 Mar 2019 at 17:41, Richard Duivenvoorde wrote:
>
> Hi,
>
> I've been asked to see if I can add 'logarithmic' breaks to the
> GraduatedSymbolRenderer.
> I am right that it is missing, yes?
>
> BUT: looking into current code and testing the available break modes I
> happen to look at the
On 02/03/2019 13.09, Paolo Cavallini wrote:
> we also noticed that for large data sets (tens of thousands records)
> `Pretty breaks` classification behaves strangely: when clicking on
> Classify repeatedly, classes boundaries change by about 10% all the
> time, apparently in a random fashion.
>
hI rICHARD,
On 02/03/19 08:41, Richard Duivenvoorde wrote:
> Hi,
>
> I've been asked to see if I can add 'logarithmic' breaks to the
> GraduatedSymbolRenderer.
> I am right that it is missing, yes?
>
> BUT: looking into current code and testing the available break modes I
> happen to look at
Hi,
I've been asked to see if I can add 'logarithmic' breaks to the
GraduatedSymbolRenderer.
I am right that it is missing, yes?
BUT: looking into current code and testing the available break modes I
happen to look at the Quantile (Equal Count) one with a random dataset I
had around:
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