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Data X:
5.8 4.7 7.3 5.8 4.8 7.2 5.7 4.7 7.0 5.5 4.6 6.7 5.3 4.5 6.4 5.2 4.5 6.1 5.3 4.8 6.1 5.3 4.8 5.9 5.0 4.6 5.6 4.8 4.3 5.5 4.9 4.3 5.7 5.3 4.6 6.1 6.0 5.4 6.8 6.2 5.5 7.1 6.4 5.5 7.5 6.4 5.3 7.8 6.4 5.2 7.9 6.2 5.2 7.6 6.1 5.4 7.0 6.0 5.3 6.9 5.9 5.0 7.1 6.2 4.9 7.9 6.2 4.9 8.0 6.4 5.3 7.9 6.8 6.3 7.4 6.9 6.7 7.2 7.0 6.7 7.3 7.0 6.4 7.7 6.9 6.1 7.8 6.7 6.0 7.6 6.6 6.2 7.3 6.5 6.1 7.0 6.4 6.0 6.9 6.5 6.0 7.2 6.5 5.9 7.3 6.6 5.9 7.5 6.7 6.0 7.5 6.8 6.1 7.7 7.2 6.4 8.2 7.6 6.7 8.8 7.6 6.7 8.7 7.3 6.5 8.3 6.4 5.9 7.1 6.1 5.6 6.8 6.3 5.7 7.2 7.1 6.0 8.5 7.5 6.3 9.1 7.4 6.3 8.9 7.1 6.2 8.2 6.8 6.1 7.6 6.9 6.3 7.7 7.2 6.5 8.1 7.4 6.6 8.3 7.3 6.5 8.3 6.9 6.2 7.9 6.9 6.2 7.8 6.8 5.9 8.0 7.1 6.1 8.5 7.2 6.1 8.6 7.1 6.1 8.5 7.0 6.1 8.1 6.9 6.1 7.8 7.0 6.3 7.9 7.4 6.7 8.2 7.5 6.9 8.3 7.5 6.9 8.2 7.4 6.9 8.1 7.3 6.8 8.0 7.0 6.4 7.8 6.7 5.9 7.8 6.5 5.5 7.7 6.5 5.6 7.7 6.5 5.6 7.6 6.6 5.8 7.6 6.8 5.9 7.8 6.9 6.1 8.0 6.9 6.1 8.0 6.8 6.0 7.9 6.8 6.0 7.7 6.5 5.8 7.4 6.1 5.5 6.9 6.0 5.5 6.7 5.9 5.4 6.5 5.8 5.2 6.4 5.9 5.2 6.6 5.9 5.2 6.8 6.2 5.5 7.0 6.3 5.7 6.9 6.2 5.7 6.7 6.0 5.6 6.4 5.8 5.4 6.2 5.5 5.1 5.9 5.5 5.1 6.0 5.7 5.3 6.3 5.8 5.3 6.3 5.7 5.3 6.1
Names of X columns:
Total Men>25 women>25
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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Computing time
1 seconds
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Big Analytics Cloud Computing Center
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