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Data X:
174.1 145.3 145.9 180.4 143.6 158.5 182.6 142.8 152.2 207.1 155.9 153.7 213.7 156.2 157.9 186.5 149.8 154.4 179.1 152.7 150.7 168.3 155.5 151.2 156.5 159.3 147.3 144.3 143 146.6 138.9 141.4 145.2 137.8 142.8 139.3 136.3 146.4 145.7 140.3 152.3 163.3 149.1 164.3 181.8 149.2 168 188.1 140.4 171.3 222.9 129 162.7 206.3 124.7 150.2 184.9 130.8 142.5 183.6 130.1 138.2 186.6 133.2 138 176.5 130.1 145.1 173.9 126.6 138.4 184.9 124.8 131.8 182.5 125.3 130.8 183.6 126.9 126.3 172.4 120.1 123 168.9 118.7 124 163.3 117.7 120.8 152.4 113.4 122.1 145.8 107.5 106.5 148.6 107.6 104.3 143.4 114.3 108.7 141.2 114.9 113.8 144.6 111.2 112.5 144.5 109.9 106.1 140.8 108.6 98.4 133.3 109.2 96 127.3 106.4 99.3 119.6 103.7 97.5 120.2 103 95.3 121.9 96.9 88 112.4 104.7 94.7 111 102.2 99.4 107.8 99 98.9 110.5 95.8 96.4 118.3 94.5 95.3 123 102.7 99.5 112.1 103.2 101.6 104.2 105.6 103.9 102.4 103.9 106.6 100.3 107.2 108.3 102.6 100.7 102 101.5 92.1 93.8 103.4 90.3 91.6 99.4 93.4 97.7 97.9 98.5 94.8 98 100.8 98 90.2 102.3 103.8 87.1 104.7 97.8 91.8 101.1 91.2 94.8 101.4 89.3 91.8 99.5 87.5 89.3 98.4 90.4 91.7 96.3 94.2 86.2 100.7 102.2 82.8 101.2 101.3 82.3 100.3 96 79.8 97.8 90.8 79.4 97.4 93.2 85.3 98.6 90.9 87.5 99.7 91.1 88.3 99 90.2 88.6 98.1 94.3 94.9 97 96 94.7 98.5 99 92.6 103.8 103.3 91.8 114.4 113.1 96.4 124.5 112.8 96.4 134.2 112.1 107.1 131.8 107.4 111.9 125.6 111 107.8 119.9 110.5 109.2 114.9 110.8 115.3 115.5 112.4 119.2 112.5 111.5 107.8 111.4 116.2 106.8 115.3 122.5 104.2 110.8 121.3 94.8 103.7 113.9 97.5 111.1 110.7 98.3 113 120.8 100.6 111.2 141.1 94.9 117.6 147.4 93.6 121.7 148 98 127.3 158.1 104.3 129.8 165 103.9 137.1 187 105.3 141.4 190.3 102.6 137.4 182.4 103.3 130.7 168.8 107.9 117.2 151.2 107.8 110.8 120.1 109.8 111.4 112.5 110.6 108.2 106.2 110.8 108.8 107.1 119.3 110.2 108.5 128.1 109.5 106.5 127.6 109.5 108.3 137.9 116 125.6 151.4 111.2 124 143.6 112.1 127.2 143.4 114 136.9 141.9 119.1 135.8 135.2 114.1 124.3 133.1 115.1 115.4 129.6 115.4 113.6 134.1 110.8 114.4 136.8 116 118.4 143.5 119.2 117 162.5 126.5 116.5 163.1 127.8 115.4 157.2 131.3 113.6 158.8 140.3 117.4 155.4 137.3 116.9 148.5 143 116.4 154.2 134.5 111.1 153.3 139.9 110.2 149.4 159.3 118.9 147.9 170.4 131.8 156 175 130.6 163 175.8 138.3 159.1 180.9 148.4 159.5 180.3 148.7 157.3 169.6 144.3 156.4 172.3 152.5 156.6 184.8 162.9 162.4 177.7 167.2 166.8 184.6 166.5 162.6 211.4 185.6 168.1
Names of X columns:
Graan Olie Suiker
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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