Hello.  I am using the nonlinear least squares function (nls).  The
function that I am trying to fit seems to be very sensitive to the
starting values and, if these are not chosen properly, the nls function
stops and gives an error message:

 

Error in numericDeriv(form[[3]], names(ind), env) : 

        Missing value or an Infinity produced when evaluating the model

In addition: Warning message: 

NaNs produced in: sqrt((quantum.yeild * I + Amax)^2 - 4 * theta *
quantum.yeild *  

 

I want to embed the nls function within a loop so that if it gives an
error message I can automatically adjust the starting value and retry.
To do this I have to be able to test if the function has converged
within the loop.  I need something like an “if.error(fit)” function that
will return true if there has been an error.  Does such a thing exist?

 

Bill Shipley

Associate Editor, Ecology

North American Editor, Annals of Botany

Département de biologie, Université de Sherbrooke,

Sherbrooke (Québec) J1K 2R1 CANADA

Bill.Shipley@USherbrooke.ca

 <http://callisto.si.usherb.ca:8080/bshipley/>
http://callisto.si.usherb.ca:8080/bshipley/

 


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