Hi Nate,
I infer from the stat_density2d documentation that the calculation is
carried out by the kde2d function in the MASS package. Refer to ?kde2d
for details.
Best,
Ista
On Mon, Jan 28, 2013 at 3:56 PM, Nathan Miller wrote:
> Hi Ista,
>
> Thanks. That does look pretty nice and I hadn't real
Hi Ista,
Thanks. That does look pretty nice and I hadn't realized that was possible.
Do you know how to extract information regarding those curves? I'd like to
be able to report something about what portion of the data they encompass
or really any other feature about them in a figure legend. I'll
Hi Nate,
You can make it less busy using the bins argument. This is not
documented, except in the examples to stat_contour, but try
ggplot(data=data, aes(x, y, colour=(factor(level)), fill=level))+
geom_point()+
stat_density2d(bins=2)
HTH,
Ista
On Mon, Jan 28, 2013 at 2:43 PM, N
Thanks Ista,
I have played a bit with stat_density2d as well. It doesn't completely
capture what I am looking for and ends up being quite busy at the same
time. I'm looking for a way of helping those looking that the figure to see
the broad patterns of where in the x/y space the data from differen
Hi Nathan,
This only fits some of your criteria, but have you looked at ?stat_density2d?
Best,
Ista
On Mon, Jan 28, 2013 at 12:53 PM, Nathan Miller wrote:
> Hi all,
>
> I have been looking for means of add a contour around some points in a
> scatterplot as a means of representing the center of
Hi all,
I have been looking for means of add a contour around some points in a
scatterplot as a means of representing the center of density for of the
data. I'm imagining something like a 95% confidence estimate drawn around
the data.
So far I have found some code for drawing polygons around the
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