Thanks to both for your reply. library(glmulti) testdata = cbind(Y=rnorm(100), data.frame(matrix(rnorm(100*50), ncol = 50))) glmulti(Y~(X1+X2+X3+X4+X5+X6+X7+X8+X9+X10+X11+X12+X13+X14+X15)*X16, data = testdata, level = 2)
This is reproducible to get a segmentation fault. But I have troubles to extract the exact information from this S4 class to make a simpler example because of my limited knowledge on S4 class. The author of the package is busy at the moment, and does not have time to look into it. Peng On 08/09/2012 10:25 PM, R. Michael Weylandt <michael.weyla...@gmail.com> wrote: > > On Aug 9, 2012, at 9:14 PM, David Winsemius <dwinsem...@comcast.net> wrote: > >> On Aug 9, 2012, at 4:56 PM, Zhang, Peng wrote: >> >>> Dear all, >>> >>> I had a R segmentation fault, and then invoked debug mode and ran step >>> by step. >> >>> 2. Why does the same function behave differently under debug and regular >>> mode? >> I cannot help you there. >> > Though a reproducible segfault is certainly worth a bug report if you can do > so, in debug or regular modes. > > You may wish to search stackoverflow for tips on how to make a great > reproducible example in R. > > Michael ********************************************************** Electronic Mail is not secure, may not be read every day, and should not be used for urgent or sensitive issues ______________________________________________ R-help@r-project.org 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.