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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