Thanks, Dimitris! I think it will help Raquel
--On 11 May 2006 13:06 +0200 Dimitris Rizopoulos <[EMAIL PROTECTED]> wrote: > probably you want to look at ?try; I hope it helps. > > Best, > Dimitris > > ---- > Dimitris Rizopoulos > Ph.D. Student > Biostatistical Centre > School of Public Health > Catholic University of Leuven > > Address: Kapucijnenvoer 35, Leuven, Belgium > Tel: +32/(0)16/336899 > Fax: +32/(0)16/337015 > Web: http://www.med.kuleuven.be/biostat/ > http://www.student.kuleuven.be/~m0390867/dimitris.htm > > > > ----- Original Message ----- From: "R Granell, Medicine" > <[EMAIL PROTECTED]> > To: <r-help@stat.math.ethz.ch> > Sent: Thursday, May 11, 2006 12:18 PM > Subject: [R] optim function > > >> Hello, >> >> I want to use optim with simulated data. >> My program generates a sample and then calls optim to optimise a >> function >> that depends on the generated sample. >> >> I want to do this with 100 samples. But optim does not 'work' for >> the 100 >> samples, sometimes I get a message saying that sigma matrix was not >> invertible and therefore the optimisation was not carried out, and >> then my >> program breaks. >> >> Is there any way to implement a condition to avoid this? I mean, how >> can I >> specify that if this is the case, ignore such sample and try with >> the next >> one. >> >> Many thanks for your help >> >> Raquel >> >> ______________________________________________ >> 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 >> > > > Disclaimer: http://www.kuleuven.be/cwis/email_disclaimer.htm > ------------------------------------- Raquel Granell, Research Statistician ALSPAC - Avon Longitudinal Study Parents and Children Department of Community Based Medicine University of Bristol ______________________________________________ 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