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q2 eigen tijdreeksen werkloosheid

*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 12:26:13 -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/t1226431629cdo1ou38pzc9tjc.htm/, Retrieved Tue, 11 Nov 2008 19:27:09 +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/t1226431629cdo1ou38pzc9tjc.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)
 
Feedback Forum:

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Original text written by user:
 
IsPrivate?
No (this computation is public)
 
User-defined keywords:
 
Dataseries X:
» Textbox « » Textfile « » CSV «
7.8 9.0 21.1 7.0 7.6 9.1 21.0 6.9 7.5 8.7 20.4 6.7 7.6 8.2 19.5 6.6 7.5 7.9 18.6 6.5 7.3 7.9 18.8 6.4 7.6 9.1 23.7 6.5 7.5 9.4 24.8 6.5 7.6 9.5 25.0 6.6 7.9 9.1 23.6 6.7 7.9 9.0 22.3 6.8 8.1 9.3 21.8 7.2 8.2 9.9 20.8 7.6 8.0 9.8 19.7 7.6 7.5 9.4 18.3 7.3 6.8 8.3 17.4 6.4 6.5 8.0 17.0 6.1 6.6 8.5 18.1 6.3 7.6 10.4 23.9 7.1 8.0 11.1 25.6 7.5 8.0 10.9 25.3 7.4 7.7 9.9 23.6 7.1 7.5 9.2 21.9 6.8 7.6 9.2 21.4 6.9 7.7 9.5 20.6 7.2 7.9 9.6 20.5 7.4 7.8 9.5 20.2 7.3 7.5 9.1 20.6 6.9 7.5 8.9 19.7 6.9 7.1 9.0 19.3 6.8 7.5 10.1 22.8 7.1 7.5 10.3 23.5 7.2 7.6 10.2 23.8 7.1 7.7 9.6 22.6 7.0 7.7 9.2 22.0 6.9 7.9 9.3 21.7 7.0 8.1 9.4 20.7 7.4 8.2 9.4 20.2 7.5 8.2 9.2 19.1 7.5 8.1 9.0 19.5 7.4 7.9 9.0 18.7 7.3 7.3 9.0 18.6 7.0 6.9 9.8 22.2 6.7 6.6 10.0 23.2 6.5 6.7 9.9 23.5 6.5 6.9 9.3 21.3 6.5 7.0 9.0 20.0 6.6 7.1 9.0 18.7 6.8 7.2 9.1 18.9 6.9 7.1 9.1 18.3 6.9 6.9 9.1 18.4 6.8 7.0 9.2 19.9 6.8 6.8 8.8 19.2 6.5 6.4 8.3 18.5 6.1 6.7 8.4 20.9 6.0 6.7 8.1 20.5 5.9 6.4 7.8 19.4 5.8 6.3 7.9 18.1 5.9 6.2 7.9 17.0 5.9 6.5 8.0 17.0 6.2 6.8 7.9 17.3 6.3 6.8 7.5 16.7 6.2 6.5 7.2 15.5 6.0 6.3 6.9 15.3 5.8 5.9 6.6 13.7 5.5 5.9 6.7 14.1 5.5 6.4 7.3 17.3 5.7 6.4 7.5 18.1 5.8
 
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'Sir Ronald Aylmer Fisher' @ 193.190.124.24


Summary of Dendrogram
LabelHeight
10.100000000000001
20.223606797749979
30.244948974278317
40.244948974278319
50.264575131106458
60.264575131106459
70.264575131106459
80.299999999999999
90.3
100.3
110.316227766016838
120.331662479035541
130.342748397307029
140.374165738677394
150.374165738677394
160.408373564811525
170.412310562561767
180.424264068711928
190.424264068711929
200.446997771328569
210.458257569495584
220.469041575982341
230.469524710480307
240.479583152331272
250.489897948556637
260.506703755354307
270.509901951359278
280.519615242270663
290.529150262212917
300.549756504215212
310.58309518948453
320.601193054381847
330.625364443177159
340.69282032302755
350.75854983860728
360.764346153407554
370.874894852719657
380.9
390.92342908365426
400.998250683519863
411.04880884817015
421.08050887433043
431.10118752132012
441.14873825261602
451.24027801901337
461.24908251837519
471.25753333603068
481.44195190309986
491.67367366872872
501.92568014123052
512.22930774150466
522.33744535025621
532.70715961587731
542.88724394997001
552.93938958178743
563.19509090513467
573.44534555205390
583.64355900783353
594.06698295696511
605.59463894145225
615.8267746830853
626.88175250110305
639.70862102092983
6415.4039068180576
6519.8531275410825
6643.2281617282275
6767.7424480270375
 
Charts produced by software:
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Nov/11/t1226431629cdo1ou38pzc9tjc/11uhs1226431568.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Nov/11/t1226431629cdo1ou38pzc9tjc/11uhs1226431568.ps (open in new window)


http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Nov/11/t1226431629cdo1ou38pzc9tjc/2x0eo1226431568.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Nov/11/t1226431629cdo1ou38pzc9tjc/2x0eo1226431568.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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