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Data X:
99.0 101.5 108.4 115.4 126.6 117.0 106.9 93.9 103.8 107.1 89.8 100.8 99.3 93.4 110.6 99.2 101.5 104.0 108.3 110.4 112.6 105.6 105.9 107.3 99.5 108.4 98.9 107.4 113.9 109.8 93.1 86.1 104.9 88.1 69.4 102.2 110.7 101.2 123.9 113.1 100.5 124.9 99.6 98.0 112.7 93.6 106.6 121.9 98.6 90.1 100.6 99.6 96.9 104.3 114.3 125.9 120.4 107.8 112.0 107.5 101.2 100.0 102.9 112.5 123.9 125.6 100.5 79.8 107.5 93.9 83.4 108.8 116.2 113.6 128.4 112.0 112.9 121.1 106.4 104.0 119.5 95.7 109.9 128.7 96.0 99.0 108.7 95.8 106.3 105.5 103.0 128.9 119.8 102.2 111.1 111.3 98.4 102.9 110.6 111.4 130.0 120.1 86.6 87.0 97.5 91.3 87.5 107.7 107.9 117.6 127.3 101.8 103.4 117.2 104.4 110.8 119.8 93.4 112.6 116.2 100.1 102.5 111.0 98.5 112.4 112.4 112.9 135.6 130.6 101.4 105.1 109.1 107.1 127.7 118.8 110.8 137.0 123.9 90.3 91.0 101.6 95.5 90.5 112.8 111.4 122.4 128.0 113.0 123.3 129.6 107.5 124.3 125.8 95.9 120.0 119.5 106.3 118.1 115.7 105.2 119.0 113.6 117.2 142.7 129.7 106.9 123.6 112.0 108.2 129.6 116.8 110.0 146.9 126.3 96.1 108.7 112.9 100.6 99.4 115.9
Names of X columns:
Intermediairegoederen Investeringsgoederen 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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