Thank you very much for those suggestions, it really helped me a lot. I just got another problem, i want to run flexmix GLM binomial model with huge dataset (say 5 million rows), but the problem is i cant run flexmix with this dataset as a whole in R ( it will crash). So is it fair to run the flexmix model by taking a stratified sample from the population, if so can you please explain me the reason ?
If i cant use the above approach, then can you please provide me with a solution for this problem ? -- View this message in context: http://r.789695.n4.nabble.com/Flexmix-new-data-classification-tp4363996p4399702.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ 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.
