Dear David,
Thanks a lot for pointing out kde2d, just tried it out but the
problem is that it indeed takes the density of points into account,
which I dont want.
For example, if in an region of surface S I've got 10,000 points,
and that their average height is 0.5, and in an other region I've
got only ten points and their average value if also 0.5, I'd like
all these points to be transformed to the same
0.5 value. At the moment, it seems that it's not the case.
For example, the range of the values I give is: 0.2 - 3.7, but the
range of the values
that are outputed is 0 - 0.17.
"Emmanuel Levy" <emmanuel.levy at gmail.com> wrote in
news:e4654710803191554k4dfc2728g70bde35f41627754 at mail.gmail.com:
> Dear Bert,
>
> Thanks for your reply - I indeed saw a lot of functions using:
> help.search("smooth")
>
> The problem is that most seem to not be very appropriate to what
> I'd like, or they seem extremely complicated (e.g. gma). I am
> probably missing something as I don't see how to use Loess. From
> my poor understanding, it seems to be for 2D data. Here I want
> to smooth the third "z" component.