I have the following 3d plot:

ro

With my data I created it with the following code:

library(rugarch)
library(rgl)
library(fGarch)

fd <- as.data.frame(modelfit, which = 'density')
color <- rgb(85, 141, 85, maxColorValue=255)

x <- seq(-0.2, 0.2, length=100)
y <-c(1:2318)

f <- function(s, t) {
 dged(s,mean=fd[t,'Mu'],sd=fd[t,'Sigma'],nu=fd[t,'Shape'])

}

z <- outer(x, y, f)
persp3d(x, y, z, theta=50, phi=25, expand=0.75, col=color,
      ticktype="detailed", xlab="", ylab="time", zlab="",axes=TRUE)

How can I get a coloring depending on the z values? I looked at different solutions, e.g. this one, but I could not create the coloring depending on the z values in this case. The solution according to this thread would be the following:

nrz <- nrow(z)
ncz <- ncol(z)
jet.colors <- colorRampPalette( c("#ffcccc", "#cc0000") ) 
# Generate the desired number of colors from this palette
nbcol <- 100
color <- jet.colors(nbcol)

# Compute the z-value at the facet centres
zfacet <- z[-1, -1] + z[-1, -ncz] + z[-nrz, -1] + z[-nrz, -ncz]
# Recode facet z-values into color indices
facetcol <- cut(zfacet, nbcol)

  persp3d(x, y, z, theta=50, phi=25, expand=0.75, col=color[facetcol],
          ticktype="detailed", xlab="", ylab="time", zlab="",axes=TRUE)

But this does not give a good result, since it does not color the plot appropriate. I want to have the spikes of my surface to be e.g. in red and the low values to be e.g. in blue with a nice smooth transition, but this kind of colors the slices, so depending on the time

r colors plot
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