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Q2 opdracht 6

*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 09:56:31 -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/t122633629397nh3av3zmgucnh.htm/, Retrieved Mon, 10 Nov 2008 16:58:15 +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/t122633629397nh3av3zmgucnh.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 «
82.7 97.4 74.8 89.3 88.9 97 93.1 87.5 105.9 105.4 103.9 106.7 100.8 102.7 83.9 102.5 94 98.1 77.7 109.2 105 104.5 141.5 123.7 58.5 87.4 58.9 83.1 87.6 89.9 75.3 97 113.1 109.8 108.4 119.1 112.5 111.7 91 125.1 89.6 98.6 84.6 113.6 74.5 96.9 179.8 122.4 82.7 95.1 85.6 92.8 90.1 97 76.4 97.2 109.4 112.7 109.7 115.6 96 102.9 99.1 111.3 89.2 97.4 86.7 114.6 109.1 111.4 111.4 137.5 49.1 87.4 78.4 83.7 92.9 96.8 76.7 106 107.7 114.1 114.2 123.4 103.5 110.3 99.7 126.5 91.1 103.9 94.2 120 79.8 101.6 173.5 141.6 71.9 94.6 83.1 90.5 82.9 95.9 88.9 96.5 90.1 104.7 132 113.5 100.7 102.8 122.1 120.1 90.7 98.1 105.1 123.9 108.8 113.9 133.7 144.4 44.1 80.9 63.6 90.8 93.6 95.7 112.7 114.2 107.4 113.2 120.5 138.1 96.5 105.9 112 135 93.6 108.8 126.2 131.3 76.5 102.3 209.2 144.6 76.7 99 91 101.7 84 100.7 116.7 108.7 103.3 115.5 137.6 135.3 88.5 100.7 108.1 124.3 99 109.9 136.6 138.3 105.9 114.6 152.3 158.2 44.7 85.4 114.3 93.5 94 100.5 120.7 124.8 107.1 114.8 131.8 154.4 104.8 116.5 129.4 152.8 102.5 112.9 187.5 148.9 77.7 102 189.5 170.3 85.2 106 109.2 124.8 91.3 105.3 158.1 134.4 106.5 118.8 176.2 154 92.4 106.1 125.5 147.9 97.5 109.3 155 168.1 107 117.2 170.3 175.7 51.1 92.5 99.4 116.7 98.6 104.2 139.2 140.8 102.2 112.5 169.6 164.2 114.3 122.4 136.1 173.8 99.4 113.3 168.2 167.8 72.5 100 318.6 166.6 92.3 110.7 154.1 135.1 99.4 112.8 161.4 158.1 85.9 109.8 183.4 151.8 109.4 117.3 167.2 168.7 97.6 109.1 205.3 166.9
 
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
12.64764045897475
23.76031913539263
34.06201920231798
44.55631429995781
54.83735464897915
65.02593274925164
76.00333240792145
86.75721836261046
96.83008052661168
107.60986202240224
118.02371485036701
128.43033685624696
138.61568337394081
149.44986772394195
159.62968844559864
1610.4665393942959
1710.6244324499563
1810.7743875118316
1911.1673631623584
2011.2287935307354
2111.3865671059767
2211.5419345459195
2312.6732000694379
2412.7831920896152
2513.4583320545332
2613.5094932929121
2713.9941321283943
2814.2811063997157
2914.3006992836015
3014.7719152170963
3114.9612722382725
3215.4839934949911
3316.4342971069022
3416.8513415330612
3517.4029902792645
3617.4451579002465
3717.5023923477295
3817.5071414000116
3917.6381247677795
4018.1931305717295
4118.5781025043344
4218.9720472645744
4319.4668801295032
4420.0025510458627
4521.1129118015186
4622.0920304300215
4723.4760445557226
4825.6689086521344
4925.6872900562846
5026.2997662671983
5126.6011277956405
5227.8297771764680
5327.8360029852678
5429.1825290199462
5532.0452854085598
5637.3885141467009
5737.6613750476367
5839.2017541356928
5945.5723734882986
6046.1172623401261
6149.4883217452201
6260.346694615647
6386.1620279690037
64202.267450012703


Summary of Cut Dendrogram
LabelHeight
131.7032420354063
233.787301978702
336.0335423298835
441.9961557520396
543.680024305624
646.3369891003818
757.2949505708752
883.990266865065
9201.873046333383
 
Charts produced by software:
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Nov/10/t122633629397nh3av3zmgucnh/1lwku1226336189.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Nov/10/t122633629397nh3av3zmgucnh/1lwku1226336189.ps (open in new window)


http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Nov/10/t122633629397nh3av3zmgucnh/27drv1226336189.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Nov/10/t122633629397nh3av3zmgucnh/27drv1226336189.ps (open in new window)


 
Parameters (Session):
par1 = median ; par2 = ALL ; par3 = FALSE ; par4 = FALSE ;
 
Parameters (R input):
par1 = average ; par2 = 10 ; 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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