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# Fig. 15.7.: Variable clustering
library(StatDA) data(ohorizon) el=c("Ag","Al","As","Ba","Bi","Ca","Cd","Co","Cr","Cu","Fe","Hg","K", "La","Mg","Mn","Mo","LOI","Na","Ni","P","Pb","Rb","S","Sb","Si","Sr","Th", "Tl","U","V","Y","Zn") x=t(scale(log10(ohorizon[,el]))) res=hclust(dist(x),method="average") pdf("fig-15-7.pdf",width=9,height=6) par(mfrow=c(2,1),mar=c(1,4,1,1)) plot(res,sub="",main="log-transformed, standardised", xlab="") # Closure problem with log-centring transformation x=ohorizon[,el] xgeom=10^apply(log10(x),1,mean) x2=x/xgeom x2.obj=log10(x2) x.lc=t(scale(x2.obj)) res.lc=hclust(dist(x.lc),method="average") par(mar=c(1,4,1,1)) plot(res.lc,sub="",main="centred logratio transformed, standardised", xlab="") dev.off() |