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Data X:
98.6 98.1 98.6 98 101.1 98 106.8 111.1 106.8 96.6 93.3 96.7 100.1 100 100.2 107.7 108 107.7 91.5 70.4 92 97.8 75.4 98.4 107.4 105.5 107.4 117.5 112.3 117.7 105.6 102.5 105.7 97.4 93.5 97.5 99.5 86.7 99.9 98 95.2 98.2 104.3 103.8 104.5 100.6 97 100.8 101.1 95.5 101.5 103.9 101 103.9 96.9 67.5 99.6 95.5 64 98.4 108.4 106.7 112.7 117 100.6 118.4 103.8 101.2 108.1 100.8 93.1 105.4 110.6 84.2 114.6 104 85.8 106.9 112.6 91.8 115.9 107.3 92.4 109.8 98.9 80.3 101.8 109.8 79.7 114.2 104.9 62.5 110.8 102.2 57.1 108.4 123.9 100.8 127.5 124.9 100.7 128.6 112.7 86.2 116.6 121.9 83.2 127.4 100.6 71.7 105 104.3 77.5 108.3 120.4 89.8 125 107.5 80.3 111.6 102.9 78.7 106.5 125.6 93.8 130.3 107.5 57.6 115 108.8 60.6 116.1 128.4 91 134 121.1 85.3 126.5 119.5 77.4 125.8 128.7 77.3 136.4 108.7 68.3 114.9 105.5 69.9 110.9 119.8 81.7 125.5 111.3 75.1 116.8 110.6 69.9 116.8 120.1 84 125.5 97.5 54.3 104.2 107.7 60 115.1 127.3 89.9 132.8 117.2 77 123.3 119.8 85.3 124.8 116.2 77.6 122 111 69.2 117.4 112.4 75.5 117.9 130.6 85.7 137.4 109.1 72.2 114.6 118.8 79.9 124.7 123.9 85.3 129.6 101.6 52.2 109.4 112.8 61.2 120.9 128 82.4 134.9 129.6 85.4 136.3 125.8 78.2 133.2 119.5 70.2 127.2 115.7 70.2 122.7 113.6 69.3 120.5 129.7 77.5 137.8 112 66.1 119.1 116.8 69 124.3 127 79.2 134.4 112.1 56.2 121.1 114.2 63.3 122.2 121.1 77.8 127.7 131.6 92 137.4 125 78.1 132.2 120.4 65.1 129.2 117.7 71.1 124.9 117.5 70.9 124.8 120.6 72 128.2 127.5 81.9 134.4 112.3 70.6 118.6 124.5 72.5 132.6 115.2 65.1 123.2 105.4 61.1 112.3
Names of X columns:
totaal duurzame_consumptiegoederen niet-duurzame_consumptiegoederen
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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