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Data X:
31/08/2001 90.7 78.4 97.8 30/09/2001 94.3 114.6 107.4 31/10/2001 104.6 113.3 117.5 30/11/2001 111.1 117 105.6 31/12/2001 110.8 99.6 97.4 31/01/2002 107.2 99.4 99.5 28/02/2002 99 101.9 98 31/03/2002 99 115.2 104.3 30/04/2002 91 108.5 100.6 31/05/2002 96.2 113.8 101.1 30/06/2002 96.9 121 103.9 31/07/2002 96.2 92.2 96.9 31/08/2002 100.1 90.2 95.5 30/09/2002 99 101.5 108.4 31/10/2002 115.4 126.6 117 30/11/2002 106.9 93.9 103.8 31/12/2002 107.1 89.8 100.8 31/01/2003 99.3 93.4 110.6 28/02/2003 99.2 101.5 104 31/03/2003 108.3 110.4 112.6 30/04/2003 105.6 105.9 107.3 31/05/2003 99.5 108.4 98.9 30/06/2003 107.4 113.9 109.8 31/07/2003 93.1 86.1 104.9 31/08/2003 88.1 69.4 102.2 30/09/2003 110.7 101.2 123.9 31/10/2003 113.1 100.5 124.9 30/11/2003 99.6 98 112.7 31/12/2003 93.6 106.6 121.9 31/01/2004 98.6 90.1 100.6 29/02/2004 99.6 96.9 104.3 31/03/2004 114.3 125.9 120.4 30/04/2004 107.8 112 107.5 31/05/2004 101.2 100 102.9 30/06/2004 112.5 123.9 125.6 31/07/2004 100.5 79.8 107.5 31/08/2004 93.9 83.4 108.8 30/09/2004 116.2 113.6 128.4 31/10/2004 112 112.9 121.1 30/11/2004 106.4 104 119.5 31/12/2004 95.7 109.9 128.7 31/01/2005 96 99 108.7 28/02/2005 95.8 106.3 105.5 31/03/2005 103 128.9 119.8 30/04/2005 102.2 111.1 111.3 31/05/2005 98.4 102.9 110.6 30/06/2005 111.4 130 120.1 31/07/2005 86.6 87 97.5 31/08/2005 91.3 87.5 107.7 30/09/2005 107.9 117.6 127.3 31/10/2005 101.8 103.4 117.2 30/11/2005 104.4 110.8 119.8 31/12/2005 93.4 112.6 116.2 31/01/2006 100.1 102.5 111 28/02/2006 98.5 112.4 112.4 31/03/2006 112.9 135.6 130.6 30/04/2006 101.4 105.1 109.1 31/05/2006 107.1 127.7 118.8 30/06/2006 110.8 137 123.9 31/07/2006 90.3 91 101.6 31/08/2006 95.5 90.5 112.8 30/09/2006 111.4 122.4 128 31/10/2006 113 123.3 129.6 30/11/2006 107.5 124.3 125.8 31/12/2006 95.9 120 119.5 31/01/2007 106.3 118.1 115.7 28/02/2007 105.2 119 113.6 31/03/2007 117.2 142.7 129.7 30/04/2007 106.9 123.6 112 31/05/2007 108.2 129.6 116.8 30/06/2007 113 151.6 127 31/07/2007 97.2 110.4 112.1 31/08/2007 99.9 99.2 114.2 30/09/2007 108.1 130.5 121.1 31/10/2007 118.1 136.2 131.6 30/11/2007 109.1 129.7 125 31/12/2007 93.3 128 120.4 31/01/2008 112.1 121.6 117.7 29/02/2008 111.8 135.8 117.5 31/03/2008 112.5 143.8 120.6 30/04/2008 116.3 147.5 127.5 31/05/2008 110.3 136.2 112.3 30/06/2008 117.1 156.6 124.5 31/07/2008 103.4 123.3 115.2 31/08/2008 96.2 100.4 105.4
Names of X columns:
date intergoed investgoed consgoed
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
TRUE
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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1 seconds
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Big Analytics Cloud Computing Center
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