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Data X:
90.7 78.4 97.8 75.4 98.4 94.3 114.6 107.4 105.5 107.4 104.6 113.3 117.5 112.3 117.7 111.1 117 105.6 102.5 105.7 110.8 99.6 97.4 93.5 97.5 107.2 99.4 99.5 86.7 99.9 99 101.9 98 95.2 98.2 99 115.2 104.3 103.8 104.5 91 108.5 100.6 97 100.8 96.2 113.8 101.1 95.5 101.5 96.9 121 103.9 101 103.9 96.2 92.2 96.9 67.5 99.6 100.1 90.2 95.5 64 98.4 99 101.5 108.4 106.7 112.7 115.4 126.6 117 100.6 118.4 106.9 93.9 103.8 101.2 108.1 107.1 89.8 100.8 93.1 105.4 99.3 93.4 110.6 84.2 114.6 99.2 101.5 104 85.8 106.9 108.3 110.4 112.6 91.8 115.9 105.6 105.9 107.3 92.4 109.8 99.5 108.4 98.9 80.3 101.8 107.4 113.9 109.8 79.7 114.2 93.1 86.1 104.9 62.5 110.8 88.1 69.4 102.2 57.1 108.4 110.7 101.2 123.9 100.8 127.5 113.1 100.5 124.9 100.7 128.6 99.6 98 112.7 86.2 116.6 93.6 106.6 121.9 83.2 127.4 98.6 90.1 100.6 71.7 105 99.6 96.9 104.3 77.5 108.3 114.3 125.9 120.4 89.8 125 107.8 112 107.5 80.3 111.6 101.2 100 102.9 78.7 106.5 112.5 123.9 125.6 93.8 130.3 100.5 79.8 107.5 57.6 115 93.9 83.4 108.8 60.6 116.1 116.2 113.6 128.4 91 134 112 112.9 121.1 85.3 126.5 106.4 104 119.5 77.4 125.8 95.7 109.9 128.7 77.3 136.4 96 99 108.7 68.3 114.9 95.8 106.3 105.5 69.9 110.9 103 128.9 119.8 81.7 125.5 102.2 111.1 111.3 75.1 116.8 98.4 102.9 110.6 69.9 116.8 111.4 130 120.1 84 125.5 86.6 87 97.5 54.3 104.2 91.3 87.5 107.7 60 115.1 107.9 117.6 127.3 89.9 132.8 101.8 103.4 117.2 77 123.3 104.4 110.8 119.8 85.3 124.8 93.4 112.6 116.2 77.6 122 100.1 102.5 111 69.2 117.4 98.5 112.4 112.4 75.5 117.9 112.9 135.6 130.6 85.7 137.4 101.4 105.1 109.1 72.2 114.6 107.1 127.7 118.8 79.9 124.7 110.8 137 123.9 85.3 129.6 90.3 91 101.6 52.2 109.4 95.5 90.5 112.8 61.2 120.9 111.4 122.4 128 82.4 134.9 113 123.3 129.6 85.4 136.3 107.5 124.3 125.8 78.2 133.2 95.9 120 119.5 70.2 127.2 106.3 118.1 115.7 70.2 122.7 105.2 119 113.6 69.3 120.5 117.2 142.7 129.7 77.5 137.8 106.9 123.6 112 66.1 119.1 108.2 129.6 116.8 69 124.3 113 151.6 127 79.2 134.4 97.2 110.4 112.1 56.2 121.1 99.9 99.2 114.2 63.3 122.2 108.1 130.5 121.1 77.8 127.7 118.1 136.2 131.6 92 137.4 109.1 129.7 125 78.1 132.2 93.3 128 120.4 65.1 129.2 112.1 121.6 117.7 71.1 124.9 111.8 135.8 117.5 70.9 124.8 112.5 143.8 120.6 72 128.2 116.3 147.5 127.5 81.9 134.4 110.3 136.2 112.3 70.6 118.6 117.1 156.6 124.5 72.5 132.6 103.4 123.3 115.2 65.1 123.2 96.2 100.4 105.4 61.1 112.3
Names of X columns:
Intermediairegoederen Investeringsgoederen Consumptiegoederen duurzameconsumptiegoederen niet-duurzameconsumptiegoederen
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
R Server
Big Analytics Cloud Computing Center
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