I looked the "loess" up...
But I am confused... what should be my "formula" if I just want to smooth
the numbers of my matrix x?
And those lots of parameters are daunting... what are the essential ones
that I should definitely set up?
I remember for 2d Gaussian filter, I just need to set one parameter which
is a scaling lambda....
Could you please help me?
Thanks a lot!
loess(formula, data, weights, subset, na.action, model = FALSE,
span = 0.75, enp.target, degree = 2,
parametric = FALSE, drop.square = FALSE, normalize = TRUE,
family = c("gaussian", "symmetric"),
method = c("loess", "model.frame"),
control = loess.control(...), ...)
On Wed, Jan 11, 2012 at 5:18 PM, Bert Gunter <gunter.ber...@gene.com> wrote:
> ?loess ## in base R
> does 2d filtering , though it's not a Gaussian one
>
> -- Bert
>
> On Wed, Jan 11, 2012 at 3:00 PM, Rolf Turner <rolf.tur...@xtra.co.nz>
> wrote:
> > On 12/01/12 09:17, Michael wrote:
> >>
> >> Hi all,
> >>
> >> I am looking for a command for doing 2D filtering (rectangular or
> >> Gaussian) in R...
> >>
> >> I have looked at ksmooth, filter and convolve but they seem to be 1D...
> >>
> >> Any thoughts?
> >>
> >> Thanks a lot!
> >
> >
> > I'm not sure what you really need/want to do, but you might have a look
> > at "smooth.ppp" (and possibly "density.ppp") from the "spatstat" package.
> >
> > cheers,
> >
> > Rolf Turner
> >
> > ______________________________________________
> > R-help@r-project.org mailing list
> > https://stat.ethz.ch/mailman/listinfo/r-help
> > PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html<http://www.r-project.org/posting-guide.html>
> > and provide commented, minimal, self-contained, reproducible code.
>
>
>
> --
>
> Bert Gunter
> Genentech Nonclinical Biostatistics
>
> Internal Contact Info:
> Phone: 467-7374
> Website:
>
> http://pharmadevelopment.roche.com/index/pdb/pdb-functional-groups/pdb-biostatistics/pdb-ncb-home.htm
>
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