distimage: Distance image
In rdetools: Relevant Dimension Estimation (RDE) in Feature Spaces

Description Usage Arguments Author(s) References See Also Examples

If you've done a model selection with selectmodel, this function can draw you a map, in which the distances of the original label vector and the estimated label vectors are shown. This is done by a filled.contour plot.

distimage(model,
          color.palette = terrain.colors,
	  log = TRUE,
	  plottitle = "Distance of Ys",
	  ...)

`model`	list of model selection data as it has been returned by `selectmodel`. `selectmodel` must have been called with `ydist` parameter set to TRUE!
`color.palette`	color palette function to use, see `rainbow`
`log`	leave this TRUE, if the axis of the model parameter should be logarithmically scaled. Set this to FALSE if you want linear scaling.
`plottitle`	title of the plot
`...`	additional parameters for `filled.contour`

Jan Saputra Mueller

M. L. Braun, J. M. Buhmann, K. R. Mueller (2008) \_On Relevant Dimensions in Kernel Feature Spaces\_

selectmodel, modelimage, drawkpc, filled.contour, rainbow

## model selection with RBF-kernel and graphical illustration
## of the distances of the labels
d <- sincdata(100, 0.1) # generate sinc data
# do model selection
m <- selectmodel(d$X, d$y, ydist = TRUE, sigma = logspace(-3, 3, 100))
distimage(m) # distance image