Re: [R] get rid of error in Factor Analysis
Robert, try try(). Andrew. On Wed, Jul 19, 2006 at 10:27:07AM +0200, Robert Mcfadden wrote: Dear All, I wrote a program and there is a loop. At each iteration I use maximum likelihood factor analysis (?factanal). Output of factor analysis I use later (in this loop). Unfortunately from time to time I get an error message (I paste it below) and everything is stopped. Is it possible to write a condition that if error appears in factor analysis (FA), change input data for FA and do it again? Example for (i in 1:1000){ FA-factanal(data,factor=3) If error appears change data to data2 and do factor analysis again #rest of the program } Best, Robert Error in optim(start, FAfn, FAgr, method = L-BFGS-B, lower = lower, : L-BFGS-B needs finite values of 'fn' In addition: Warning message: NaNs produced in: log(x) [[alternative HTML version deleted]] __ 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. -- Andrew Robinson Department of Mathematics and StatisticsTel: +61-3-8344-9763 University of Melbourne, VIC 3010 Australia Fax: +61-3-8344-4599 Email: [EMAIL PROTECTED] http://www.ms.unimelb.edu.au __ 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.
[R] get rid of error in Factor Analysis
Dear All, I wrote a program and there is a loop. At each iteration I use maximum likelihood factor analysis (?factanal). Output of factor analysis I use later (in this loop). Unfortunately from time to time I get an error message (I paste it below) and everything is stopped. Is it possible to write a condition that if error appears in factor analysis (FA), change input data for FA and do it again? Example for (i in 1:1000){ FA-factanal(data,factor=3) If error appears change data to data2 and do factor analysis again #rest of the program } Best, Robert Error in optim(start, FAfn, FAgr, method = L-BFGS-B, lower = lower, : L-BFGS-B needs finite values of 'fn' In addition: Warning message: NaNs produced in: log(x) [[alternative HTML version deleted]] __ 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.
Re: [R] get rid of error in Factor Analysis
?try On Wed, 19 Jul 2006, Robert Mcfadden wrote: Dear All, I wrote a program and there is a loop. At each iteration I use maximum likelihood factor analysis (?factanal). Output of factor analysis I use later (in this loop). Unfortunately from time to time I get an error message (I paste it below) and everything is stopped. Is it possible to write a condition that if error appears in factor analysis (FA), change input data for FA and do it again? Example for (i in 1:1000){ FA-factanal(data,factor=3) If error appears change data to data2 and do factor analysis again #rest of the program } Best, Robert Error in optim(start, FAfn, FAgr, method = L-BFGS-B, lower = lower, : L-BFGS-B needs finite values of 'fn' In addition: Warning message: NaNs produced in: log(x) [[alternative HTML version deleted]] __ 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. -- Brian D. Ripley, [EMAIL PROTECTED] Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/ University of Oxford, Tel: +44 1865 272861 (self) 1 South Parks Road, +44 1865 272866 (PA) Oxford OX1 3TG, UKFax: +44 1865 272595 __ 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.