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Data X:
5.6 8.9 3.4 11 5.6 8.9 3 5 5.5 8.5 3.1 6 5.4 8.1 2.5 2 5.4 7.5 2.2 7 5.4 7.1 2.3 18 5.5 6.9 2.1 19 5.7 7.1 2.8 25 5.7 7 3.1 28 5.4 6.7 2.9 26 5.6 7 2.6 27 5.8 7.3 2.7 35 6.1 7.7 2.3 43 6.8 8.4 2.3 63 6.7 8.4 2.1 80 6.7 8.8 2.2 56 6.4 9.1 2.9 48 6.3 9 2.6 43 6.3 8.6 2.7 43 6.4 7.9 1.8 42 6.3 7.7 1.3 42 6 7.8 0.9 44 6.2 9.1 1.3 52 6.3 9.4 1.3 47 6.6 9.3 1.3 47 7.5 8.7 1.3 47 7.8 8.4 1.1 49 7.9 8.6 1.4 58 7.8 9 1.2 60 7.6 9.1 1.7 65 7.5 8.7 1.8 70 7.6 8.2 1.5 63 7.5 7.9 1 64 7.3 7.9 1.6 64 7.6 9.1 1.5 69 7.5 9.4 1.8 62 7.6 9.5 1.8 56 7.9 9.1 1.6 77 7.9 9 1.9 62 8.1 9.3 1.7 59 8.2 9.9 1.6 53 8 9.8 1.3 52 7.5 9.4 1.1 54 6.8 8.3 1.9 57 6.5 8 2.6 58 6.6 8.5 2.3 48 7.6 10.4 2.4 51 8 11.1 2.2 48 8 10.9 2 50 7.7 9.9 2.9 59 7.5 9.2 2.6 58 7.6 9.2 2.3 59 7.7 9.5 2.3 58 7.9 9.6 2.6 57 7.8 9.5 3.1 52 7.5 9.1 2.8 52 7.5 8.9 2.5 64 7.1 9 2.9 63 7.5 10.1 3.1 62 7.5 10.3 3.1 58 7.6 10.2 3.2 57 7.7 9.6 2.5 55 7.7 9.2 2.6 57 7.9 9.3 2.9 53 8.1 9.4 2.6 44 8.2 9.4 2.4 44 8.2 9.2 1.7 51 8.1 9 2 45 7.9 9 2.2 48 7.3 9 1.9 44 6.9 9.8 1.6 45 6.6 10 1.6 36 6.7 9.9 1.2 37 6.9 9.3 1.2 31 7 9 1.5 32 7.1 9 1.6 59 7.2 9.1 1.7 39 7.1 9.1 1.8 34 6.9 9.1 1.8 35 7 9.2 1.8 27 6.8 8.8 1.3 32 6.4 8.3 1.3 32 6.7 8.4 1.4 34 6.7 8.1 1.1 29 6.4 7.8 1.5 28 6.3 7.9 2.2 24 6.2 7.9 2.9 27 6.5 8 3.1 23 6.8 7.9 3.5 25 6.8 7.5 3.6 20 6.5 7.2 4.4 18 6.3 6.9 4.2 26 5.9 6.6 5.2 31 5.9 6.7 5.8 29
Names of X columns:
werkloze_mannen werkloze_vrouwen procentuele_verandering_consprijs indicator_consvertrouwen
Method
centroid
ward
single
complete
average
mcquitty
median
centroid
# of (top) clusters to display
2
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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