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Complete clustering

*The author of this computation has been verified*
R Software Module: rwasp_hierarchicalclustering.wasp (opens new window with default values)
Title produced by software: Hierarchical Clustering
Date of computation: Mon, 10 Nov 2008 15:10:28 -0700
 
Cite this page as follows:
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2008/Nov/10/t1226355114r1q0o71yy94x9pq.htm/, Retrieved Mon, 10 Nov 2008 22:11:54 +0000
 
BibTeX entries for LaTeX users:
@Manual{KEY,
    author = {{YOUR NAME}},
    publisher = {Office for Research Development and Education},
    title = {Statistical Computations at FreeStatistics.org, URL http://www.freestatistics.org/blog/date/2008/Nov/10/t1226355114r1q0o71yy94x9pq.htm/},
    year = {2008},
}
@Manual{R,
    title = {R: A Language and Environment for Statistical Computing},
    author = {{R Development Core Team}},
    organization = {R Foundation for Statistical Computing},
    address = {Vienna, Austria},
    year = {2008},
    note = {{ISBN} 3-900051-07-0},
    url = {http://www.R-project.org},
}
 
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
 
Feedback Forum:

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Original text written by user:
 
IsPrivate?
No (this computation is public)
 
User-defined keywords:
 
Dataseries X:
» Textbox « » Textfile « » CSV «
116.1 117.1 118.9 100.3 102.5 107.0 108.8 97.6 102.0 107.0 115.6 89.1 101.3 111.0 95.0 99.1 100.6 108.2 92.8 94.9 100.9 96.3 108.9 96.5 104.2 100.9 109.8 92.6 108.3 107.7 106.1 80.8 108.9 106.2 102.8 89.5 109.9 118.7 98.4 101.4 106.8 116.1 85.7 95.9 112.7 118.1 114.6 92.3 113.4 118.4 129.4 91.2 101.3 110.8 117.7 88.3 97.8 106.4 126.6 80.7 95.0 112.2 103.8 89.9 93.8 108.3 101.5 87.2 94.5 96.0 118.7 86.9 101.4 100.6 119.6 82.8 105.8 107.8 114.8 72.6 106.6 108.4 109.9 81.3 109.7 120.9 106.3 91.2 108.8 117.3 95.0 87.3 113.4 119.7 124.5 83.4 113.7 119.6 140.4 81.7 103.6 111.8 128.8 80.2 98.2 108.1 137.5 74.1 95.5 111.8 113.3 80.6 94.4 105.5 110.3 79.0 95.9 93.6 129.1 79.3 103.2 103.9 128.4 71.2 104.1 100.3 120.3 78.1 127.6 106.6 113.6 68.2 130.3 118.4 96.9 81.0 133.0 106.6 124.7 106.9 140.4 109.8 126.4 123.7 123.5 115.9 131.9 73.7 116.9 111.7 122.5 69.2 115.9 119.8 113.1 72.5 113.1 116.1 99.8 75.7 112.1 103.2 116.0 73.5 112.4 99.0 115.0 70.4 118.9 112.3 114.0 65.7 117.4 104.2 111.0 68.1 115.6 114.0 91.7 62.4 120.7 121.7 90.6 64.7 114.9 107.2 103.3 77.7 122.0 112.8 106.7 85.9 119.6 117.8 111.2 61.0 114.6 113.3 102.9 57.4 118.4 116.1 126.5 75.1 110.9 111.8 115.1 75.9 111.6 110.2 110.2 71.8 114.6 110.0 110.1 72.3 112.1 102.9 103.3 67.3 117.4 110.1 107.7 71.5 114.8 102.7 103.9 67.6 123.4 118.7 114.0 74.2 118.1 109.0 117.2 77.6 121.9 115.7 117.0 76.4 123.3 118.1 116.5 74.2
 
Output produced by software:

Enter (or paste) a matrix (table) containing all data (time) series. Every column represents a different variable and must be delimited by a space or Tab. Every row represents a period in time (or category) and must be delimited by hard returns. The easiest way to enter data is to copy and paste a block of spreadsheet cells. Please, do not use commas or spaces to seperate groups of digits!


Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001


Summary of Dendrogram
LabelHeight
12.57293606605372
22.78926513619628
33.04959013639538
44.25088226136647
54.4698993277254
65.00899191454728
75.32353266168247
85.40647759636531
95.4735728733616
105.55067563455116
116.32376470150496
126.93325320466519
137.24292758489272
147.27942305406137
157.56108457828637
167.78909494100566
178.2395388220458
189.1230477363653
199.12414379544734
209.30268778364619
219.32416216075203
229.5812316536028
239.93478736561583
2410.3624321469431
2510.8752011475650
2611.3039815994189
2711.3092882180975
2811.5697882435246
2912.3689126442060
3012.8615706661356
3113.1772531280233
3213.7295302177460
3313.8206367436526
3414.0124944246198
3514.3634953963163
3614.5461335068808
3714.6130079039190
3814.842506526864
3915.9937487788198
4016.2748271880226
4116.4423234367896
4217.2328175293537
4317.3887894920837
4418.1623236398870
4518.7117610074520
4620.0094977448211
4720.5124352527924
4821.8116941111872
4922.9026199374657
5023.2718714331272
5125.3627679877414
5226.0265249313081
5328.6295302092088
5433.661550766416
5534.7719714712870
5634.8142212321344
5739.8182119136457
5848.8193609134737
5957.414632281327
6075.0055331292299
 
Charts produced by software:
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Nov/10/t1226355114r1q0o71yy94x9pq/1qgnf1226355023.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Nov/10/t1226355114r1q0o71yy94x9pq/1qgnf1226355023.ps (open in new window)


http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Nov/10/t1226355114r1q0o71yy94x9pq/2i9yu1226355023.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Nov/10/t1226355114r1q0o71yy94x9pq/2i9yu1226355023.ps (open in new window)


 
Parameters (Session):
par1 = complete ; par2 = ALL ; par3 = FALSE ; par4 = FALSE ;
 
Parameters (R input):
par1 = complete ; par2 = ALL ; par3 = FALSE ; par4 = FALSE ;
 
R code (references can be found in the software module):
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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Software written by Ed van Stee & Patrick Wessa


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