hierarhcical clustering
| Summary of compuational transaction | |
| Raw Input | view raw input (R code) |
| Raw Output | view raw output of R engine |
| Computing time | 1 seconds |
| R Server | 'Gwilym Jenkins' @ 72.249.127.135 |
| Summary of Dendrogram | |
| Label | Height |
| 1 | 0.132287565553233 |
| 2 | 0.192873015219849 |
| 3 | 0.223830292855996 |
| 4 | 0.271108834234523 |
| 5 | 0.29949958263743 |
| 6 | 0.317962261911684 |
| 7 | 0.334428631382339 |
| 8 | 0.336749164809658 |
| 9 | 0.342490875790878 |
| 10 | 0.387169213652126 |
| 11 | 0.399874980462637 |
| 12 | 0.402492235949963 |
| 13 | 0.423438307194805 |
| 14 | 0.427901857906695 |
| 15 | 0.468934963507739 |
| 16 | 0.476982278767515 |
| 17 | 0.487945044257233 |
| 18 | 0.509850396423737 |
| 19 | 0.525620748250331 |
| 20 | 0.529905651979672 |
| 21 | 0.530565735795285 |
| 22 | 0.581713292969237 |
| 23 | 0.631774772905535 |
| 24 | 0.634034699365903 |
| 25 | 0.648577076857977 |
| 26 | 0.662640772349327 |
| 27 | 0.66887966032763 |
| 28 | 0.700499821556008 |
| 29 | 0.701355829803949 |
| 30 | 0.728628849277879 |
| 31 | 0.73932401557097 |
| 32 | 0.770068401848224 |
| 33 | 0.775114041702953 |
| 34 | 0.789213895019265 |
| 35 | 0.790569415042089 |
| 36 | 0.87476948236093 |
| 37 | 0.895631120704817 |
| 38 | 0.905615946026887 |
| 39 | 0.952158678866097 |
| 40 | 0.982134002514492 |
| 41 | 0.993400978785342 |
| 42 | 1.00289580715047 |
| 43 | 1.06805644813109 |
| 44 | 1.21127983953589 |
| 45 | 1.28662759632268 |
| 46 | 1.36937584873134 |
| 47 | 1.3747741900212 |
| 48 | 1.43272709512621 |
| 49 | 1.57809583153990 |
| 50 | 1.64931679875173 |
| 51 | 1.71855568619222 |
| 52 | 2.00284658245665 |
| 53 | 2.33907058716814 |
| 54 | 2.39686588400049 |
| 55 | 2.77902356129487 |
| 56 | 2.96298859056425 |
| 57 | 3.93224420812851 |
| 58 | 4.10922383106238 |
| 59 | 4.3354098598628 |
| 60 | 5.56688477000092 |
| 61 | 5.7163090099975 |
| 62 | 6.26554264877576 |
| 63 | 10.0302969509425 |
| 64 | 13.2890158967772 |
| 65 | 27.7197022374139 |
| 66 | 45.7316410082011 |
| 67 | 85.9532780967705 |
| 68 | 235.957597303874 |
 |
| http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2007/Nov/05/de1ve7higzngski1194257477/14dgd1194257576.png (open in new window) |
| http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2007/Nov/05/de1ve7higzngski1194257477/14dgd1194257576.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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