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

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