Hi, I am using the lda function from the MASS library. I would to find the decision boundaries of each class and subsequently plot them. I wonder if anybody can offer any help on this topic?
Below I applied the lda function on a small dataset of mine. Any help will be much appreciated. > library(MASS) > AA<-read.table("http://www.natursyn.dk/online/fingerprinting.txt",header=T) > aa.lda<-lda(as.matrix[3:9],AA$group) > aa.ld<-predict(aa.lda,dimen=2)$x > eqscplot(aa.ld,type="n",xlab="LD1", ylab="LD2",las=1) > text(aa.ld,c(rep('f',13),rep('b',10),rep('p',10))) > aa.mean<-lda(aa.ld,AA$group)$means > points(aa.mean,pch=3) Best, Thomas Larsen Leibniz-Laboratory for Stable Isotope Research Max-Eyth-Str. 11-13, 24118 Kiel, Germany Work: +49-431-880-3896 -- View this message in context: http://www.nabble.com/Decision-boundaries-for-lda-function--tp24823213p24823213.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.