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Workshop 5 - vraag 2

R Software Module: rwasp_hierarchicalclustering.wasp (opens new window with default values)
Title produced by software: Hierarchical Clustering
Date of computation: Thu, 01 Nov 2007 08:19:31 -0700
 
Cite this page as follows:
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2007/Nov/01/4gus573gb6eegyf1193930342.htm/, Retrieved Thu, 01 Nov 2007 16:19:02 +0100
 
User-defined keywords:
workshop 5, vraag 2, wim, dhondt
 
Dataseries X:
» Textbox « » Textfile « » CSV «
112,7 118,4 108,1 105,4 114,6 106,9 115,9 109,8 101,8 114,2 110,8 108,4 127,5 128,6 116,6 127,4 105 108,3 125 111,6 106,5 130,3 115 116,1 134 126,5 125,8 136,4 114,9 110,9 125,5 116,8 116,8 125,5 104,2 115,1 132,8 123,3 124,8 122 117,4 117,9 137,4 114,6 124,7 129,6 109,4 120,9 134,9 136,3 133,2 127,2 122,7 120,5 137,8 119,1 124,3 134,3 121,7 125
 
Text written by user:
 
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 compuational 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
10
20
30
40
50.0999999999999943
60.0999999999999943
70.0999999999999943
80.0999999999999943
90.100000000000009
100.100000000000009
110.166666666666657
120.199999999999989
130.266666666666670
140.299999999999997
150.300000000000002
160.300000000000007
170.300000000000011
180.399999999999977
190.399999999999991
200.399999999999996
210.400000000000006
220.400000000000006
230.400000000000006
240.400000000000006
250.450000000000003
260.5
270.533333333333322
280.599999999999994
290.700000000000017
300.810000000000005
310.833333333333333
320.899999999999996
330.966666666666654
341.20000000000000
351.20000000000001
361.20000000000002
371.46666666666665
381.53333333333333
391.56666666666667
401.85
412.13333333333334
422.25
432.39
442.64000000000002
452.80000000000001
463.41666666666666
473.52000000000000
485.37777777777782
495.41333333333334
506.07619047619045
518.62222222222221
5210.5211111111111
5312.6488888888889
5415.7738095238095
5523.5111111111111
5626.7476190476190
5786.2533333333333
5895.4479365079365
59314.156666666667
 
Charts produced by software:
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2007/Nov/01/4gus573gb6eegyf1193930342/14oky1193930367.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2007/Nov/01/4gus573gb6eegyf1193930342/14oky1193930367.ps (open in new window)


 
Parameters:
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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