Is there any answer? Hi all, I have a df and I want to use supervised Self Organizing Map to do classification. I should use Kohonen library and xyf function from it. As you know the xyf function looks like this and I have problem defining my Y:
xyf(data,Y,grid=somgrid(),rlen=100,alpha=c(0.05,0.01)) I want to do classification based on a column which shows the speed that a protocols is run, and this column is the following: $speed :num 4 4 3 3 3 1 1 1 2 1 4 4 3 numbers from 1 to 4 show the speed from very fast to very slow protocols. so the property I want to be modeled is df$speed, but I don't know how should I bring it in xyf function. Does anyone know how to do that? I also added my train set ans test set: dt=sort(sample(nrow(df),nrow(df)*.7)) train=df[dt,] Xtraining=scale(trian) Xtest=scale(-trian) center=attr(Xtrianing,"scaled:center") scale=attr(Xtraining,"scaled:scale") xyf(Xtraining,........,grid=somgrid(10,10,"hexagonal")) Thanks for any Help, Elahe ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.