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Dendogram

*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: Tue, 11 Nov 2008 09:52:48 -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/11/t1226424045nbziehvf1ch0b2l.htm/, Retrieved Tue, 11 Nov 2008 17:20:48 +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/11/t1226424045nbziehvf1ch0b2l.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)
 
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Original text written by user:
 
IsPrivate?
No (this computation is public)
 
User-defined keywords:
dendogram
 
Dataseries X:
» Textbox « » Textfile « » CSV «
103.1 119.5 98.6 100.6 125 98 103.1 145 106.8 95.5 105.3 96.6 90.5 116.9 100.1 90.9 120.1 107.7 88.8 88.9 91.5 90.7 78.4 97.8 94.3 114.6 107.4 104.6 113.3 117.5 111.1 117 105.6 110.8 99.6 97.4 107.2 99.4 99.5 99 101.9 98 99 115.2 104.3 91 108.5 100.6 96.2 113.8 101.1 96.9 121 103.9 96.2 92.2 96.9 100.1 90.2 95.5 99 101.5 108.4 115.4 126.6 117 106.9 93.9 103.8 107.1 89.8 100.8 99.3 93.4 110.6 99.2 101.5 104 108.3 110.4 112.6 105.6 105.9 107.3 99.5 108.4 98.9 107.4 113.9 109.8 93.1 86.1 104.9 88.1 69.4 102.2 110.7 101.2 123.9 113.1 100.5 124.9 99.6 98 112.7 93.6 106.6 121.9 98.6 90.1 100.6 99.6 96.9 104.3 114.3 125.9 120.4 107.8 112 107.5 101.2 100 102.9 112.5 123.9 125.6 100.5 79.8 107.5 93.9 83.4 108.8 116.2 113.6 128.4 112 112.9 121.1 106.4 104 119.5 95.7 109.9 128.7 96 99 108.7 95.8 106.3 105.5 103 128.9 119.8 102.2 111.1 111.3 98.4 102.9 110.6 111.4 130 120.1 86.6 87 97.5 91.3 87.5 107.7 107.9 117.6 127.3 101.8 103.4 117.2 104.4 110.8 119.8 93.4 112.6 116.2 100.1 102.5 111 98.5 112.4 112.4 112.9 135.6 130.6 101.4 105.1 109.1 107.1 127.7 118.8 110.8 137 123.9 90.3 91 101.6 95.5 90.5 112.8 111.4 122.4 128 113 123.3 129.6 107.5 124.3 125.8 95.9 120 119.5 106.3 118.1 115.7 105.2 119 113.6 117.2 142.7 129.7 106.9 123.6 112 108.2 129.6 116.8 113 151.6 127 97.2 110.4 112.1 99.9 99.2 114.2 108.1 130.5 121.1 118.1 136.2 131.6 109.1 129.7 125 93.3 128 120.4 112.1 121.6 117.7
 
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 time1 seconds
R Server'George Udny Yule' @ 72.249.76.132


Summary of Dendrogram
LabelHeight
11.79164728671688
21.94422220952236
32.40416305603426
42.43515913237717
52.5357444666212
62.69258240356725
72.73130005674953
82.96984848098350
93.00998338865848
103.18332654337857
113.40293990543471
123.48425027803688
133.61109401705356
143.64142829120663
153.92960166560812
164.17252920900500
174.47660585711988
184.60108682813093
194.63896540189727
204.68028887864762
215.07641605859882
225.08428952755447
235.17783738639985
245.18933631913884
255.26212884676915
265.26738699859055
275.32183467367931
285.32187317710463
295.32916503778968
305.62339086568237
315.96437549847263
326.07124369466421
336.12392684889938
346.40106811205645
356.4730209330729
366.49626901819971
376.66708332031332
386.7305861047332
397.03096028947898
407.2034713853808
417.77762001581431
427.84474346298207
438.3441422839075
448.45103543951865
458.45990543682375
468.91282493757552
479.0867036557393
489.19331638346833
499.27335972236975
509.34549572797372
519.40063722643411
529.79667038748257
5310.2488603058311
5410.3498792263485
5511.9902287284447
5612.4898785629431
5712.6110661241587
5813.3754496791211
5913.9241413931233
6014.4192247863398
6117.6001879620435
6218.3153198251480
6319.2045102568841
6420.2376117476367
6520.6177715981540
6620.8835491866826
6721.5927902639461
6821.9593143455042
6922.6759899936794
7025.7177986653815
7132.3967966714272
7234.342037223887
7339.8461728989036
7439.9073325362165
7540.208117885738
7641.5627535049924
7748.8665720256781
7857.6350857590425
7957.6936691576887
8073.8682858990825
81101.607398879592
82137.661108739049
83255.003958732451
84616.033846497955
 
Charts produced by software:
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Nov/11/t1226424045nbziehvf1ch0b2l/1757l1226422367.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Nov/11/t1226424045nbziehvf1ch0b2l/1757l1226422367.ps (open in new window)


http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Nov/11/t1226424045nbziehvf1ch0b2l/21zb91226422367.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Nov/11/t1226424045nbziehvf1ch0b2l/21zb91226422367.ps (open in new window)


 
Parameters (Session):
par1 = ward ; par2 = ALL ; par3 = FALSE ; par4 = FALSE ;
 
Parameters (R input):
par1 = ward ; 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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