Send output to:
Browser Blue - Charts White
Browser Black/White
CSV
Data X:
90.7 78.4 97.8 75.4 98.4 94.3 114.6 107.4 105.5 107.4 104.6 113.3 117.5 112.3 117.7 111.1 117.0 105.6 102.5 105.7 110.8 99.6 97.4 93.5 97.5 107.2 99.4 99.5 86.7 99.9 99.0 101.9 98.0 95.2 98.2 99.0 115.2 104.3 103.8 104.5 91.0 108.5 100.6 97.0 100.8 96.2 113.8 101.1 95.5 101.5 96.9 121.0 103.9 101.0 103.9 96.2 92.2 96.9 67.5 99.6 100.1 90.2 95.5 64.0 98.4 99.0 101.5 108.4 106.7 112.7 115.4 126.6 117.0 100.6 118.4 106.9 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 99.2 101.5 104.0 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 98.0 112.7 86.2 116.6 93.6 106.6 121.9 83.2 127.4 98.6 90.1 100.6 71.7 105.0 99.6 96.9 104.3 77.5 108.3 114.3 125.9 120.4 89.8 125.0 107.8 112.0 107.5 80.3 111.6 101.2 100.0 102.9 78.7 106.5 112.5 123.9 125.6 93.8 130.3 100.5 79.8 107.5 57.6 115.0 93.9 83.4 108.8 60.6 116.1 116.2 113.6 128.4 91.0 134.0 112.0 112.9 121.1 85.3 126.5 106.4 104.0 119.5 77.4 125.8 95.7 109.9 128.7 77.3 136.4 96.0 99.0 108.7 68.3 114.9 95.8 106.3 105.5 69.9 110.9 103.0 128.9 119.8 81.7 125.5 102.2 111.1 111.3 75.1 116.8 98.4 102.9 110.6 69.9 116.8 111.4 130.0 120.1 84.0 125.5 86.6 87.0 97.5 54.3 104.2 91.3 87.5 107.7 60.0 115.1 107.9 117.6 127.3 89.9 132.8 101.8 103.4 117.2 77.0 123.3 104.4 110.8 119.8 85.3 124.8 93.4 112.6 116.2 77.6 122.0 100.1 102.5 111.0 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 79.9 124.7 110.8 137.0 123.9 85.3 129.6 90.3 91.0 101.6 52.2 109.4 95.5 90.5 112.8 61.2 120.9 111.4 122.4 128.0 82.4 134.9 113.0 123.3 129.6 85.4 136.3 107.5 124.3 125.8 78.2 133.2 95.9 120.0 119.5 70.2 127.2 106.3 118.1 115.7 70.2 122.7 105.2 119.0 113.6 69.3 120.5 117.2 142.7 129.7 77.5 137.8 106.9 123.6 112.0 66.1 119.1 108.2 129.6 116.8 69.0 124.3 113.0 151.6 127.0 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 92.0 137.4 109.1 129.7 125.0 78.1 132.2 93.3 128.0 120.4 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 72.0 128.2 116.3 147.5 127.5 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:
Intermediaire Investerings consumptie duurzaam niet-duurzaam
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') }
Compute
Summary of computational transaction
Raw Input
view raw input (R code)
Raw Output
view raw output of R engine
Computing time
0 seconds
R Server
Big Analytics Cloud Computing Center
Click here to blog (archive) this computation