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Q2

*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: Thu, 13 Nov 2008 10:06:04 -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/13/t1226596046tl1rxgfmot2juis.htm/, Retrieved Thu, 13 Nov 2008 17:07:29 +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/13/t1226596046tl1rxgfmot2juis.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:
 
Dataseries X:
» Textbox « » Textfile « » CSV «
97,4 91,2 97,3 119,46 97 99,2 97,4 122,52 105,4 108,2 97,5 124,1 102,7 101,5 95,5 118,39 98,1 106,9 95,3 113,1 104,5 104,4 95,4 113,94 87,4 77,9 95,4 114,58 89,9 60 95,4 118,79 109,8 99,5 95,5 120,44 111,7 95 94,6 118,37 98,6 105,6 95,2 118,44 96,9 102,5 95,2 117,93 95,1 93,3 94,7 117,76 97 97,3 94,7 118,29 112,7 127 94,7 121,11 102,9 111,7 95,3 124,86 97,4 96,4 94,7 131,17 111,4 133 94,8 130,16 87,4 72,2 94,9 131,76 96,8 95,8 95,4 134,7 114,1 124,1 96 135,32 110,3 127,6 95,9 140,23 103,9 110,7 95,8 136,31 101,6 104,6 95,8 131,62 94,6 112,7 95,1 128,9 95,9 115,3 95,2 133,89 104,7 139,4 95,2 138,21 102,8 119 95,3 146,12 98,1 97,4 95,4 144,69 113,9 154 95,3 149,18 80,9 81,5 95,3 156,6 95,7 88,8 95 158,87 113,2 127,7 94,9 164,85 105,9 105,1 95,7 162,89 108,8 114,9 95,7 153,31 102,3 106,4 96,3 150,91 99 104,5 91,7 119,55 100,7 121,6 92,2 119,44 115,5 141,4 92,2 120,25 100,7 99 92,6 124,92 109,9 126,7 93 126,34 114,6 134,1 93 125,88 85,4 81,3 93 127,34 100,5 88,6 93,7 127,48 114,8 132,7 93,1 119,41 116,5 132,9 93,1 114,82 112,9 134,4 93,2 115,28 102 103,7 93,2 116,37 106 119,7 93 111,99 105,3 115 93,7 113,57 118,8 132,9 94 117,69 106,1 108,5 93,1 120,74 109,3 113,9 94,2 122,37 117,2 142 94,2 123,57 92,5 97,7 93,5 124,86 104,2 92,2 95 122,08 112,5 128,8 93,7 123,56 122,4 134,9 93,9 126,92 113,3 128,2 94,6 134,88 100 114,8 93,8 130,64 110,7 117,9 91,2 131,65 112,8 119,1 91,4 130,97 109,8 120,7 91,3 136,77 117,3 129,1 91,5 138,17 109,1 117,6 91,5 146,4 115,9 129,2 91,5 152,07 96 100 91,3 153,05 97,6 87,3 92,8 142,89
 
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'George Udny Yule' @ 72.249.76.132


Summary of Dendrogram
LabelHeight
12.52039679415761
23.2066337489648
33.57212821718369
43.69741801802285
53.78640990913557
63.83411006623440
74.27462279037577
84.39886348958455
94.42759528412433
104.59544620390592
114.85457516163876
124.89056233985418
135.05632277450718
145.24905615642281
155.36590160178138
165.38097574794758
175.43897968372745
185.61641894928298
195.74529372617275
205.98555422948228
216.1626852785304
226.43098555484393
237.47519559630302
247.49455802566102
257.57939659851098
267.58287544405156
277.93167736442996
287.9491084099433
298.02949333769852
308.03094639503964
318.16861540106916
328.3894704910672
339.89290654964456
3410.0091921050243
3510.4860097272509
3610.8781090219082
3711.1642344242557
3811.2769092592800
3911.5372030634177
4013.0493855699064
4113.5804418190278
4216.0899172746490
4316.3113580060031
4416.9128392266366
4517.2059930954734
4617.6230170550563
4719.3109932800032
4820.4487383473896
4920.6772116791852
5023.0013131879744
5123.0629010131737
5223.8633704055692
5323.9929537681241
5426.7941190598829
5527.6124004646797
5629.4673176269962
5729.5774546396966
5837.3411187850998
5948.1348308714605
6052.5389318553996
6154.4507801097401
6259.2820113475205
63108.777537755306
64131.835367727673
65156.327921441824
66233.881323970893
67552.805323733346
 
Charts produced by software:
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Nov/13/t1226596046tl1rxgfmot2juis/1j07m1226595960.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Nov/13/t1226596046tl1rxgfmot2juis/1j07m1226595960.ps (open in new window)


http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Nov/13/t1226596046tl1rxgfmot2juis/2nbwa1226595960.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Nov/13/t1226596046tl1rxgfmot2juis/2nbwa1226595960.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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