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Data X:
7.8 9.0 21.1 7.0 7.6 9.1 21.0 6.9 7.5 8.7 20.4 6.7 7.6 8.2 19.5 6.6 7.5 7.9 18.6 6.5 7.3 7.9 18.8 6.4 7.6 9.1 23.7 6.5 7.5 9.4 24.8 6.5 7.6 9.5 25.0 6.6 7.9 9.1 23.6 6.7 7.9 9.0 22.3 6.8 8.1 9.3 21.8 7.2 8.2 9.9 20.8 7.6 8.0 9.8 19.7 7.6 7.5 9.4 18.3 7.3 6.8 8.3 17.4 6.4 6.5 8.0 17.0 6.1 6.6 8.5 18.1 6.3 7.6 10.4 23.9 7.1 8.0 11.1 25.6 7.5 8.0 10.9 25.3 7.4 7.7 9.9 23.6 7.1 7.5 9.2 21.9 6.8 7.6 9.2 21.4 6.9 7.7 9.5 20.6 7.2 7.9 9.6 20.5 7.4 7.8 9.5 20.2 7.3 7.5 9.1 20.6 6.9 7.5 8.9 19.7 6.9 7.1 9.0 19.3 6.8 7.5 10.1 22.8 7.1 7.5 10.3 23.5 7.2 7.6 10.2 23.8 7.1 7.7 9.6 22.6 7.0 7.7 9.2 22.0 6.9 7.9 9.3 21.7 7.0 8.1 9.4 20.7 7.4 8.2 9.4 20.2 7.5 8.2 9.2 19.1 7.5 8.1 9.0 19.5 7.4 7.9 9.0 18.7 7.3 7.3 9.0 18.6 7.0 6.9 9.8 22.2 6.7 6.6 10.0 23.2 6.5 6.7 9.9 23.5 6.5 6.9 9.3 21.3 6.5 7.0 9.0 20.0 6.6 7.1 9.0 18.7 6.8 7.2 9.1 18.9 6.9 7.1 9.1 18.3 6.9 6.9 9.1 18.4 6.8 7.0 9.2 19.9 6.8 6.8 8.8 19.2 6.5 6.4 8.3 18.5 6.1 6.7 8.4 20.9 6.0 6.7 8.1 20.5 5.9 6.4 7.8 19.4 5.8 6.3 7.9 18.1 5.9 6.2 7.9 17.0 5.9 6.5 8.0 17.0 6.2 6.8 7.9 17.3 6.3 6.8 7.5 16.7 6.2 6.5 7.2 15.5 6.0 6.3 6.9 15.3 5.8 5.9 6.6 13.7 5.5 5.9 6.7 14.1 5.5 6.4 7.3 17.3 5.7 6.4 7.5 18.1 5.8
Names of X columns:
Mannen Vrouwen <25 >25
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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