i get an idea:
cldatx1 <- subset(cldat,select=c(ID,A,B,C)) cldatx2 <- subset(cldat,select=c(A,B,C)) The id didn't cause na.omit , so both have same obs. cl1 <- clara(cldatx2,4) cluster <- cl1$clustering match1 <- cbind(cldatx1,cluster) resultdata <- merge(cldat,macth1,by.x="ID",by.y="ID",all.x=T) Sure there is an easier way??? Thanks,Christian Am Samstag, 28. Februar 2004 14:07 schrieb Christian Schulz: > Hi, > > i want a cluster-analysis with clara, but getting an > error because in cldat are NA's. > > Error in clara(cldat[, 1:3], 4) : Each of the random samples contains > objects between which > no distance can be computed. > > cldatx <- subset(cldat,select=c(A,B,C)) > cldaty <- na.omit(cldatx) > > Now , clara works but cldat has ~193.000 obs > and cldatx without NA's ~75.000 obs. > > How could i match back the clara result (cluster group) > to check associations with other attributes in the 193.000 obs > in the cldat.frame ? > > > Many thanks > Christian ______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
