Jianping Jin <jjin <at> email.unc.edu> writes: ... > I wrote a code to iterate a non-linear fit with a set of data. The entire > process didn't implemented to the end because an error message, "singular > gradient". I knew that some sub-sets (columns) do not fit my formula well > and may result in parameters going to infinity. It is pretty hard to remove > those sub sets before running the code since that will take a lot of time. > > I added some logic assessments prior to running nonlinear fit. It helped > but some exceptions still existed. I am wondering if there is any way in R > by which I can continue to run the entire code to the end by ignoring the > error message? ...
?try Or, even easier, use nlsList in nlme, which does exactly what you want, handling convergence errors graciously. Dieter ______________________________________________ R-help@stat.math.ethz.ch 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.
