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Data X:
1 4 1 -3 1 3 -1 4 -2 -3 -4 -1 2 2 -1 -1 -1 -1 1 1 0 3 1 2 -2 -1 0 3 2 -2 3 1 0 -3 4 3 4 3 -4 -2 1 -1 3 0 1 -2 -1 2 -3 -2 -2 2 -2 1 1 -2 3 -1 1 3 3 2 -1 3 -1 1 3 3 2 -1 0 2 0 -4 3 2 2 2 4 2 2 -1 1 -3 3 3 -1 0 -1 2 3 2 2 1 4 -3 -1 -2 3 2 -1 -3 -1 4 0 0 4 3 1 -3 -1 2 3 2 2 3 -2 0 0 -1 2 2 3 -1 2 -2 3 4 2 -4 -3 1 -3 0 3 -1 4 -1 -2 -4 0 4 -1 0 2 3 1 -2 0 -1 1 0 2 0 2 3 -3 -4 1 -1 1 -1 1 -2 1 3 3 1 1 4 3 2 -4 2 0 1 1 -1 -4 -1 1 3 1 1 -1 -4 -3 3 4 3 0 2 0 1 2 0 -2 4 -2 -3 -1 2 2 4 2 0 1 -3 2 3 2 4 -2 -3 1 2 3 4 3 -2 0 -3 1 2 3 2 -1 -2 0 0 3 3 4 2 -2 0 0 2 4 0 1 -2 3 2 1 3 2 2 1 0 -1 -4 0 2 -2 -2 4 2 3 0 3 -1 -3 4 1 0 1 3 2 4 -1 -1 0 0 4 1 -1 3 2 0 4 3 1 1 -3 -3 1 2 0 0 2 4 0 -1 0 2 2 -3 -2 0 0 3 3 -1 -1 0 -1 3 2 2 -1 -1 4 2 -2 4 0 0 -3 -4 2 3 3 2 0 4 -2 2 1 2 -1 -3 3 1 3 -3 1 2 -1 1 0 3 -2 2 3 0 3 -2 0 1 0 4 -1 -2 3 -1 2 3 -2 0 1 2 -3 3 1 4 0 1 -1 -1 -3 -4 2 3 -2 0 0 0 -2 2 2 -1 1 -1 -2 2 2 -2 -1 3 0 0 4 3 2 -2 1 2 -1 1 -2 -1 1 3 2 1 1 0 0 3 -1 0 3 4 2 1 -4 -3 2 3 1 4 2 1 3 0 0 3 4 0 3 1 -1 -1 3 1 0 -2 -1 1 4 -1 1 2 4 3 -3 -4 4 3 3 0 -2 1 -1 3 3 1 4 0 1 -1 0 -1 2 4 3 -2 1 1 4 -1 1 3 -3 1 2 4 1 -2 0 3 -2 0 2 2 1 -1 -2 0 3 4 -2 -2 -3 2 0 0 1 3 1 -3 0 0 2 4 2 -3 1 0 -1 0 4 2 2 -1 0 -3 3 -2 2 4 -2 2 0 0 4 0 0 3 1 -2 2 4 2 -1 -1 1 -3 3 4 0 -3 2 1 0 -1 2 3 4 0 1 -2 0 2 2 4 3 0 -3 2 4 1 0 2 1 2 1 -2 4 0 1 1 0 2 2 0 -1 -2 4 2 3 3 -1 4 0 1 1 3 2 -1 -1 0 0 2 0 2 3 2 -4 -3 0 4 2 -1 -3 -1 0 3 -2 2 -1 4 -1 3 -4 3 0 1 4 -2 1 2 3 4 0 -4 0 2 2 4 3 -1 -2 -2 1 2 2 1 1 4 0 0 3 2 1 -1 -2 -3 3 2 2 1 -1 0 2 1 4 -2 3 2 1 1 -2 -4 1 4 1 2 3 1 -2 1 3 -1 -3 2 3 2 -1 3 3 1 -3 -1 -1 4 1 2 -4 -2 0 -2 1 -1 -2 4 0 2 0 3 -1 1 0 -3 1 3 -3 1 -1 -1 4 -1 3 2 0 -2 4 -1 0 1 1 2 4 -2 -3 2 -1 4 3 2 3 -2 0 -2 -3 4 1 -1 -1 3 -4 2 -1 4 1 -1 3 1 4 3 1 -2 0 2 0 3 -1 0 -3 -1 2 3 4 1 1 2 0 -3 -2 1 -1 2 2 0 -4 0 4 0 2 0 2 -3 -3 3 4 3 2 -2 0 -4 1 4 2 3 0 -1 -1 4 0 0 0 2 3 0 2 -1 3 2 -2 1 -1 3 2 1 4 1 -2 0 2 2 1 4 -1 0 0 0 2 1 -4 2 -2 2 4 3 -2 1 -1 -1 2 2 1 -1 -2 -2 0 4 -2 0 0 4 -4 3 -3 4 1 -1 -4 3 0 2 2 3 -3 -3 2 1 2 2 1 -1 3 3 0 -4 2 4 1 -1 -1 0 -1 0 3 0 1 4 -1 -1 -2 3 0 -1 1 0 -2 2 3 3 -1 -1 0 -1 1 2 2 -4 0 -1 -2 0 3 4 3 -1 0 0 2 3 -2 -1 1 0 0 -3 1 3 2 4 0 -4 1 4 2 3 -1 -2 -1 -2 2 -1 -2 0 0 0 1 1 -1 2 4 2 2 0 2 1 0 -2 -1 4 0 -1 3 2 4 0 -2 1 4 -1 -4 3 2 -2 4 3 2 -1 0 -2 0 4 -1 1 -2 2 3 -1 2 2 1 -3 -2 2 1
Names of X columns:
X1 X2 X3 X4 X5 X6 X7
Method
ward
ward
single
complete
average
mcquitty
median
centroid
# of (top) clusters to display
ALL
ALL
2
3
4
5
6
7
8
9
10
15
20
Horizontal
FALSE
FALSE
TRUE
Triangle
FALSE
FALSE
TRUE
Chart options
Title:
Label y-axis:
Label x-axis:
R Code
par3 <- as.logical(par3) par4 <- as.logical(par4) if (par3 == 'TRUE'){ dum = xlab xlab = ylab ylab = dum } x <- t(y) hc <- hclust(dist(x),method=par1) d <- as.dendrogram(hc) str(d) mysub <- paste('Method: ',par1) bitmap(file='test1.png') if (par4 == 'TRUE'){ plot(d,main=main,ylab=ylab,xlab=xlab,horiz=par3, nodePar=list(pch = c(1,NA), cex=0.8, lab.cex = 0.8),type='t',center=T, sub=mysub) } else { plot(d,main=main,ylab=ylab,xlab=xlab,horiz=par3, nodePar=list(pch = c(1,NA), cex=0.8, lab.cex = 0.8), sub=mysub) } dev.off() if (par2 != 'ALL'){ if (par3 == 'TRUE'){ ylab = 'cluster' } else { xlab = 'cluster' } par2 <- as.numeric(par2) memb <- cutree(hc, k = par2) cent <- NULL for(k in 1:par2){ cent <- rbind(cent, colMeans(x[memb == k, , drop = FALSE])) } hc1 <- hclust(dist(cent),method=par1, members = table(memb)) de <- as.dendrogram(hc1) bitmap(file='test2.png') if (par4 == 'TRUE'){ plot(de,main=main,ylab=ylab,xlab=xlab,horiz=par3, nodePar=list(pch = c(1,NA), cex=0.8, lab.cex = 0.8),type='t',center=T, sub=mysub) } else { plot(de,main=main,ylab=ylab,xlab=xlab,horiz=par3, nodePar=list(pch = c(1,NA), cex=0.8, lab.cex = 0.8), sub=mysub) } dev.off() str(de) } load(file='createtable') a<-table.start() a<-table.row.start(a) a<-table.element(a,'Summary of Dendrogram',2,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Label',header=TRUE) a<-table.element(a,'Height',header=TRUE) a<-table.row.end(a) num <- length(x[,1])-1 for (i in 1:num) { a<-table.row.start(a) a<-table.element(a,hc$labels[i]) a<-table.element(a,hc$height[i]) a<-table.row.end(a) } a<-table.end(a) table.save(a,file='mytable1.tab') if (par2 != 'ALL'){ a<-table.start() a<-table.row.start(a) a<-table.element(a,'Summary of Cut Dendrogram',2,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Label',header=TRUE) a<-table.element(a,'Height',header=TRUE) a<-table.row.end(a) num <- par2-1 for (i in 1:num) { a<-table.row.start(a) a<-table.element(a,i) a<-table.element(a,hc1$height[i]) a<-table.row.end(a) } a<-table.end(a) table.save(a,file='mytable2.tab') }
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