R help - Sep 2009 - "simple" 3-dimensional plots?

dear R experts: I am trying to plot an empirical likelihood function in 3d.  
The values are not over a regular grid---I just searched the likelihood  
function to find the optimal value, and then computed a few values around  
it. (each point in the likelihood function takes a very long time to  
compute.)

the likelihood values now sit in a csv file that has three  
columns, "mu", "sd", and "v". I would like to look
at my 3d plots to find
out how well or badly behaved my likelihood function is (and then compute a  
Hessian, my next task).

Is persp() the correct function for this task? something else?

is there a wrapper that takes my x, y, and z values (which come in almost  
random order), and puts them into the format that persp() needs?

pointers appreciated.

sincerely,

/iaw

	[[alternative HTML version deleted]]

See, e.g.,

cloud() in package "lattice"
plot3d() in package "rgl"
scatterplot3d() in package "scatterplot3d"

Uwe Ligges


ivowel at gmail.com wrote:
> dear R experts: I am trying to plot an empirical likelihood function in 3d.
> The values are not over a regular grid---I just searched the likelihood  
> function to find the optimal value, and then computed a few values around  
> it. (each point in the likelihood function takes a very long time to  
> compute.)
> 
> the likelihood values now sit in a csv file that has three  
> columns, "mu", "sd", and "v". I would like to
look at my 3d plots to find
> out how well or badly behaved my likelihood function is (and then compute a
> Hessian, my next task).
> 
> Is persp() the correct function for this task? something else?
> 
> is there a wrapper that takes my x, y, and z values (which come in almost  
> random order), and puts them into the format that persp() needs?
> 
> pointers appreciated.
> 
> sincerely,
> 
> /iaw
> 
> 	[[alternative HTML version deleted]]
> 
> ______________________________________________
> R-help at r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide
http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.

I think 

install.packages("akima")
library(akima)
example(interp)

 would be most useful.

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