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Is it possible to produce a 2D contour map of a 3D surface with additional contours representing the error in estimation? For an example in base R, see below, which uses the predict.gam() function in package mgcv...
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Hi, actually that's something that is currently missing in mgcViz. The difficulty is that (as far as I know) there is no easy way of labeling the level curves in ggplot2 (see #4 ). So that the resulting contour plot would have black, green and red curves with no labels, which would be quite hard to interpret.
Maybe you could have a look at the plotRGL function on mgcViz, which plots the 2D effect in 3D, with confidence surfaces.
Thanks! Yes I can understand the difficulty. For now, I am generating the figures with base R, but if this becomes available in the future I'd gladly upgrade to mgcViz.
Is it possible to produce a 2D contour map of a 3D surface with additional contours representing the error in estimation? For an example in base R, see below, which uses the predict.gam() function in package mgcv...
The text was updated successfully, but these errors were encountered: