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Data X:
97.3 104.8 124.9 93.5 101 105.6 132 94.7 113.2 118.3 151.4 112.9 101 89.9 108.9 99.2 105.7 90.2 121.3 105.6 113.9 107 123.4 113 86.4 64.5 90.3 83.1 96.5 92.6 79.3 81.1 103.3 95.8 117.2 96.9 114.9 94.3 116.9 104.3 105.8 91.2 120.8 97.7 94.2 86.3 96.1 102.6 98.4 77.6 100.8 89.9 99.4 82.5 105.3 96 108.8 97.7 116.1 112.7 112.6 83.3 112.8 107.1 104.4 84.2 114.5 106.2 112.2 92.8 117.2 121 81.1 77.4 77.1 101.2 97.1 72.5 80.1 83.2 112.6 88.8 120.3 105.1 113.8 93.4 133.4 113.3 107.8 92.6 109.4 99.1 103.2 90.7 93.2 100.3 103.3 81.6 91.2 93.5 101.2 84.1 99.2 98.8 107.7 88.1 108.2 106.2 110.4 85.3 101.5 98.3 101.9 82.9 106.9 102.1 115.9 84.8 104.4 117.1 89.9 71.2 77.9 101.5 88.6 68.9 60 80.5 117.2 94.3 99.5 105.9 123.9 97.6 95 109.5 100 85.6 105.6 97.2 103.6 91.9 102.5 114.5 94.1 75.8 93.3 93.5 98.7 79.8 97.3 100.9 119.5 99 127 121.1 112.7 88.5 111.7 116.5 104.4 86.7 96.4 109.3 124.7 97.9 133 118.1 89.1 94.3 72.2 108.3 97 72.9 95.8 105.4 121.6 91.8 124.1 116.2 118.8 93.2 127.6 111.2 114 86.5 110.7 105.8 111.5 98.9 104.6 122.7 97.2 77.2 112.7 99.5 102.5 79.4 115.3 107.9 113.4 90.4 139.4 124.6 109.8 81.4 119 115 104.9 85.8 97.4 110.3 126.1 103.6 154 132.7 80 73.6 81.5 99.7 96.8 75.7 88.8 96.5 117.2 99.2 127.7 118.7 112.3 88.7 105.1 112.9 117.3 94.6 114.9 130.5 111.1 98.7 106.4 137.9 102.2 84.2 104.5 115 104.3 87.7 121.6 116.8 122.9 103.3 141.4 140.9 107.6 88.2 99 120.7 121.3 93.4 126.7 134.2 131.5 106.3 134.1 147.3 89 73.1 81.3 112.4 104.4 78.6 88.6 107.1 128.9 101.6 132.7 128.4 135.9 101.4 132.9 137.7 133.3 98.5 134.4 135 121.3 99 103.7 151
Names of X columns:
Metaal Elektr.apparaten Transportmiddelen Werktuigen
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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