WS 5 Various EDA Topics : Q2 Hierarchical Clustering
| Summary of compuational transaction | |
| Raw Input | view raw input (R code) |
| Raw Output | view raw output of R engine |
| Computing time | 2 seconds |
| R Server | 'Gwilym Jenkins' @ 72.249.127.135 |
| Summary of Dendrogram | |
| Label | Height |
| 1 | 0 |
| 2 | 0 |
| 3 | 0 |
| 4 | 0 |
| 5 | 0 |
| 6 | 0 |
| 7 | 0 |
| 8 | 0 |
| 9 | 0 |
| 10 | 0 |
| 11 | 0 |
| 12 | 0.0999999999999996 |
| 13 | 0.0999999999999996 |
| 14 | 0.0999999999999996 |
| 15 | 0.0999999999999996 |
| 16 | 0.0999999999999996 |
| 17 | 0.0999999999999996 |
| 18 | 0.0999999999999996 |
| 19 | 0.0999999999999996 |
| 20 | 0.0999999999999996 |
| 21 | 0.0999999999999996 |
| 22 | 0.0999999999999996 |
| 23 | 0.100000000000001 |
| 24 | 0.127614237491539 |
| 25 | 0.127614237491541 |
| 26 | 0.133333333333333 |
| 27 | 0.133333333333335 |
| 28 | 0.137377344785322 |
| 29 | 0.141421356237309 |
| 30 | 0.141421356237309 |
| 31 | 0.141421356237309 |
| 32 | 0.141421356237309 |
| 33 | 0.141421356237309 |
| 34 | 0.141421356237310 |
| 35 | 0.141421356237310 |
| 36 | 0.141421356237310 |
| 37 | 0.141421356237310 |
| 38 | 0.173205080756888 |
| 39 | 0.176417624662798 |
| 40 | 0.176417624662798 |
| 41 | 0.1764176246628 |
| 42 | 0.188561808316412 |
| 43 | 0.199999999999999 |
| 44 | 0.210018769324858 |
| 45 | 0.217400800258808 |
| 46 | 0.217719700768865 |
| 47 | 0.230940107675849 |
| 48 | 0.230940107675851 |
| 49 | 0.235702260395515 |
| 50 | 0.244948974278317 |
| 51 | 0.245436036690136 |
| 52 | 0.254165767818701 |
| 53 | 0.279458180291988 |
| 54 | 0.282842712474619 |
| 55 | 0.286168582658929 |
| 56 | 0.298142396999971 |
| 57 | 0.301763809020503 |
| 58 | 0.352859547920897 |
| 59 | 0.397606774342517 |
| 60 | 0.438685717649667 |
| 61 | 0.44684678446316 |
| 62 | 0.463087612001388 |
| 63 | 0.474034131450302 |
| 64 | 0.531864212827577 |
| 65 | 0.533693132821101 |
| 66 | 0.549237892498694 |
| 67 | 0.554234759029406 |
| 68 | 0.590009844047375 |
| 69 | 0.59481699012736 |
| 70 | 0.660920148281909 |
| 71 | 0.66111711741648 |
| 72 | 0.891825466289151 |
| 73 | 0.957332835878085 |
| 74 | 0.957506881651033 |
| 75 | 1.32373256223693 |
| 76 | 1.43916639772776 |
| 77 | 1.7635439904068 |
| 78 | 1.88870440693586 |
| 79 | 2.09246075267243 |
| 80 | 2.09391601590158 |
| 81 | 2.41833042900632 |
| 82 | 2.60806974096245 |
| 83 | 3.04547285938668 |
| 84 | 3.47791412803025 |
| 85 | 4.54834978713410 |
| 86 | 5.02997035987643 |
| 87 | 5.59184354295347 |
| 88 | 6.44758256224646 |
| 89 | 8.39491989814402 |
| 90 | 9.18402332816775 |
| 91 | 27.8558742683003 |
| 92 | 53.6444792355086 |
 |
| http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2007/Nov/04/tx0mjk7v5g436zd1194195693/12geo1194195775.png (open in new window) |
| http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2007/Nov/04/tx0mjk7v5g436zd1194195693/12geo1194195775.ps (open in new window) |
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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