Re: [R] wireframe advice - with reproducible code

From: Duncan Murdoch <murdoch.duncan_at_gmail.com>
Date: Mon, 16 May 2011 11:24:13 -0400

On 16/05/2011 11:17 AM, Chris Mcowen wrote:
> Thanks for this,
>
> With the data i have what is the best method to convert it into the required matrix, as i am a little unsure how it would be done - i imagine this must be a common task?

You can't convert it. Your data doesn't form a surface.

You could fit a model that had a prediction surface, but there isn't a single best way to do that. It depends on the best model for your data, which depends on much more than just the set of points.

Duncan Murdoch

> Chris
> On 16 May 2011, at 16:05, Duncan Murdoch wrote:
>
> On 16/05/2011 10:57 AM, Chris Mcowen wrote:
> > Sorry,
> >
> > My bad -
> >
> > I have notice you can remove the data call when using this and it works the same, also FD is the same as Residual_FD i just forgot i coded it different.
> >
> > wireframe(FD ~ Elevation * Temperature, scales = list(arrows = FALSE), drape = TRUE, colorkey = TRUE)
> >
> > Sorry and thanks again,
> >
>
> Those points don't form a surface that wireframe could draw. cloud() would work, but if you want a wireframe surface, then the FD values need to be something like what persp() needs: a matrix of values, with rows and columns being combined values from Elevation and Temperature. wireframe() is different in that the matrix is presented as a column in the data, with the rows and columns repeated correspondingly.
>
> See the g dataframe produced in example(wireframe) for an example of the right sort of structure.
>
> Duncan Murdoch
>
>
>
>
>



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