Standard error predictions of surface
Usage
predict.surface.se(out, grid.list, chull.mask, extrap=F, ...)
Arguments
out
|
An object from fitting a function to data.
|
grid.list
|
A list with as many components as variables describing the surface.
All components should have a single value except the two that give the
grid points for evaluation. If the matrix or data frame has column names,
these must appear in the grid list.
|
chull.mask
|
To evaluate on a convex hull, NA's are assigned to outside the convex hull
of the data
|
extrap
|
Exaplolation beyond the range of the data.
|
...
|
Other plotting parameters
|
Value
The usual list for making contour and perspective plots along with the
component containing the grid list.See Also
predict.surface, tps, krig, nnreg, persp, contour, grid.listExamples
tps( BD[,1:4], BD$lnya)-> fit # fit surface to data
list( KCl="x", MgCl2=mean(BD[,2]),KPO4="y", dNTP=mean(BD[,4]))-> grid
# make grid
predict.surface.se(fit,grid) -> out.p # evalute standard erro surface
# on a grid
surface(out.p) # perspective and contour plot of standard error surface