Btw I am using mclust, and basically wanted to reproduce the mstep and estep of the Mclust algorithm for new data.
Any help is appreaciated! On 10 December 2013 21:23, Welma Pereira <welma.pere...@gmail.com> wrote: > Hi, > > Thanks for the hint Sarah. So here is my problem again: (files train_pca > is in train_pca and test is in test_pca attached) > > mclust2_pca <- Mclust(train_pca,G=2, modelNames= c("EII", "VII", "EEI", > "EVI", "VEI", "VVI")) > pred<-predict.Mclust(mclust2_pca,test) > Warning message: > In cdensVVI(data = c(2.80217508052409, 2.75071740560707, 2.6175058179515, > : > cannot compute E-step > > Thanks! > > > On 10 December 2013 16:30, Sarah Goslee <sarah.gos...@gmail.com> wrote: > >> Hi, >> >> It's unlikely that anyone will be able to see your problem without a >> reproducible example. >> >> >> http://stackoverflow.com/questions/5963269/how-to-make-a-great-r-reproducible-example >> >> Are you using the mclust package? That would be the first thing we need >> to know. >> >> Then, have you worked through the examples in ?predict.Mclust, and do >> you understand them? >> >> Then, what do your data look like? str() and such are useful, but the >> best option is to use dput() to create a reproducible subset, or to >> reproduce your problem using one of the built-in datasets in R, as is >> done in the above documentation examples. >> >> Sarah >> >> On Tue, Dec 10, 2013 at 6:41 AM, Welma Pereira <welma.pere...@gmail.com> >> wrote: >> > Hi, >> > >> > I am trying to use mclust to cluster some data (train_pca_10), I get the >> > clusters, but when I try to use the model to predict new data (test1) I >> get >> > this error >> > >> > >> > >> > mClust2 <- Mclust(train_pca_10,G=2) >> > pred<-predict.Mclust(mClust2,test1) >> > >> > Error in if (warn) warning(WARNING) : argument is of length zero >> > >> > Can anyone see the problem here? >> > >> > Thanks, >> > Pereira. >> > >> -- >> Sarah Goslee >> http://www.functionaldiversity.org >> > > [[alternative HTML version deleted]] ______________________________________________ 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.