On 20/10/2008 5:39 AM, A.Noufaily wrote:
Hello,
I am hoping someone can help me with the following:
I am applying the function "mle" on a single data set X n times, each
time using a different set of initial values v[i] (i=1,...,n).
The initial values are all finite. Two cases arise:
A- For some sets of initial values mle is giving parameter estimates.
B- For some other initial values, mle is reporting the following error:
Error in optim(start,f,method=method,hessian=TRUE,...):
Initial value in vmin is not finite
My aim is to tell R to return the estimates whenever case A, and to
return the word "Error" whenever case B (using an "if" statement inside
a loop).
How to tell R to return the word "Error" whenever mle reports the error
given above?
Is there a function similar to is.nan which tests the existence of an
error?
Normally an error halts evaluation, but see ?try. The basic pattern is
result <- try(mle(...))
if (inherits(result, "try-error")) return("Error")
else return(result)
Duncan Murdoch
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