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Opdracht 4 Q22

*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 02:56:50 -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/t1226311059xfrcwn6k3wqbaxp.htm/, Retrieved Mon, 10 Nov 2008 09:57:42 +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/t1226311059xfrcwn6k3wqbaxp.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 «
97.3 104.8 124.9 93.5 101 105.6 132 94.7 113.2 118.3 151.4 112.9 101 89.9 108.9 99.2 105.7 90.2 121.3 105.6 113.9 107 123.4 113 86.4 64.5 90.3 83.1 96.5 92.6 79.3 81.1 103.3 95.8 117.2 96.9 114.9 94.3 116.9 104.3 105.8 91.2 120.8 97.7 94.2 86.3 96.1 102.6 98.4 77.6 100.8 89.9 99.4 82.5 105.3 96 108.8 97.7 116.1 112.7 112.6 83.3 112.8 107.1 104.4 84.2 114.5 106.2 112.2 92.8 117.2 121 81.1 77.4 77.1 101.2 97.1 72.5 80.1 83.2 112.6 88.8 120.3 105.1 113.8 93.4 133.4 113.3 107.8 92.6 109.4 99.1 103.2 90.7 93.2 100.3 103.3 81.6 91.2 93.5 101.2 84.1 99.2 98.8 107.7 88.1 108.2 106.2 110.4 85.3 101.5 98.3 101.9 82.9 106.9 102.1 115.9 84.8 104.4 117.1 89.9 71.2 77.9 101.5 88.6 68.9 60 80.5 117.2 94.3 99.5 105.9 123.9 97.6 95 109.5 100 85.6 105.6 97.2 103.6 91.9 102.5 114.5 94.1 75.8 93.3 93.5 98.7 79.8 97.3 100.9 119.5 99 127 121.1 112.7 88.5 111.7 116.5 104.4 86.7 96.4 109.3 124.7 97.9 133 118.1 89.1 94.3 72.2 108.3 97 72.9 95.8 105.4 121.6 91.8 124.1 116.2 118.8 93.2 127.6 111.2 114 86.5 110.7 105.8 111.5 98.9 104.6 122.7 97.2 77.2 112.7 99.5 102.5 79.4 115.3 107.9 113.4 90.4 139.4 124.6 109.8 81.4 119 115 104.9 85.8 97.4 110.3 126.1 103.6 154 132.7 80 73.6 81.5 99.7 96.8 75.7 88.8 96.5 117.2 99.2 127.7 118.7 112.3 88.7 105.1 112.9 117.3 94.6 114.9 130.5 111.1 98.7 106.4 137.9 102.2 84.2 104.5 115 104.3 87.7 121.6 116.8 122.9 103.3 141.4 140.9 107.6 88.2 99 120.7 121.3 93.4 126.7 134.2 131.5 106.3 134.1 147.3 89 73.1 81.3 112.4 104.4 78.6 88.6 107.1 128.9 101.6 132.7 128.4 135.9 101.4 132.9 137.7 133.3 98.5 134.4 135 121.3 99 103.7 151
 
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 time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135


Summary of Dendrogram
LabelHeight
11.74928556845359
23.39116499156263
33.40293990543470
44.27784992724149
54.97091540865462
65.49363267792815
75.72363520850168
86.04565960007674
96.10409698481275
106.40390505863414
116.8044103344816
126.85930025585701
136.90941386804988
147.33416661932355
157.43319846155543
168.09320702811933
178.1351090957651
188.32105762508589
198.7630497874952
208.94091717890284
219.42578354323287
229.43345111822815
239.82805309654202
2410.2042522365039
2510.7678490217154
2611.3966693593580
2711.5351636312625
2811.6099095603713
2911.7865146265502
3011.8949761916029
3111.9155360769040
3212.9553707875648
3313.0525859506842
3413.3120246394003
3513.5177973168608
3613.6214062055956
3714.1859814878576
3815.3127397940408
3916.2467087644982
4016.8089262000878
4116.8595005301798
4217.2893137747923
4317.5789998366768
4417.6310491608526
4517.7170188755694
4619.1484982910573
4719.7596056456984
4820.8315193126636
4921.0693710903141
5022.5353007088035
5123.0426162567524
5224.0234929671519
5325.4431124220435
5427.3135133835557
5529.1187224994504
5629.2057219049548
5729.7897975817926
5832.8690667823914
5938.4213355785105
6041.299015574525
6143.4852052433074
6244.4934922810275
6350.7837484460942
6458.7321871936795
6577.8147335127635
6692.3131526682733
67102.911129414342
68135.010684517327
69162.360760542454
70300.012429605276
71630.334083567835
 
Charts produced by software:
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Nov/10/t1226311059xfrcwn6k3wqbaxp/182fk1226311008.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Nov/10/t1226311059xfrcwn6k3wqbaxp/182fk1226311008.ps (open in new window)


http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Nov/10/t1226311059xfrcwn6k3wqbaxp/2jvw61226311008.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Nov/10/t1226311059xfrcwn6k3wqbaxp/2jvw61226311008.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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This work is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 3.0 License.

Software written by Ed van Stee & Patrick Wessa


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