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> -Original Message-
> From: [EMAIL PROTECTED]
> [mailto:[EMAIL PROTECTED] On Behalf Of [EMAIL PROTECTED]
> Sent: Wednesday, July 25, 2007 4:57 PM
> To: r-devel@r-project.org
> Subject: [Rd] loess prediction algorithm
>
>
> Hello,
>
>
Andy,
If you could provide an example of the R code with which you call
loess(), I can post R code which will duplicate what predict.loess
does without having to call the C/Fortran. There are a lot of
implementation details that are easy to overlook, but without knowing
the arguments to your call
The R interface is just a wrapper for those Netlib C/Fortran functions.
I don't think anyone is going to be able (or willing) to read and explain
those for you.
You do need to understand the loess.control parameters, and I believe they
are explained in the White Book. But perhaps you should use
Hello,
I need help with the details of loess prediction algorithm. I would like
to get it implemented as a part of a measurement system programmed in
LabView. My job is provide a detailed description of the algorithm. This
is a simple one-dimensional problem - smoothing an (x, y) data set.
I
