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Hierarchical Clustering tijdreeksen

*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 15:03:01 -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/t122635463483208sys08w9gvo.htm/, Retrieved Mon, 10 Nov 2008 22:03:54 +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/t122635463483208sys08w9gvo.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:

Post a new message
 
Original text written by user:
 
IsPrivate?
No (this computation is public)
 
User-defined keywords:
 
Dataseries X:
» Textbox « » Textfile « » CSV «
101 95 106 101 104 96 82 88 99 97 114 108 105 96 118 116 107 96 105 104 111 96 105 110 117 95 103 105 119 97 107 107 127 97 123 124 128 97 112 109 135 98 104 102 132 98 122 125 136 97 108 102 143 98 94 101 142 98 120 116 153 99 118 114 145 99 117 115 138 98 113 119 148 97 106 108 152 99 108 110 169 100 122 120 169 100 115 113 161 100 110 111 174 100 120 121 179 99 104 99 191 101 96 104 190 101 121 117 182 101 111 108 175 101 120 122 181 101 114 122 197 100 107 111 194 102 108 111 197 102 127 131 216 102 105 108 221 103 119 118 218 103 121 119 230 102 106 104 227 103 97 105 204 103 119 118 197 103 122 124 199 103 121 123 208 103 106 114 191 101 114 119 202 104 112 116 211 104 127 129 224 104 109 112 224 104 118 123 231 104 123 124 244 103 115 117 235 105 105 110 250 104 116 118 266 105 131 135 288 106 121 127 283 106 104 117 295 105 127 137 312 107 126 130 334 108 124 132 348 108 132 142 383 109 117 122 407 110 123 126
 
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
11.73205080756888
22.44948974278318
33.74165738677394
43.74165738677394
54.24264068711928
64.47213595499958
75.29150262212918
85.29150262212918
95.29150262212918
106.2449979983984
116.70820393249937
126.85565460040104
137.34846922834953
147.61577310586391
157.87400787401181
168.42614977317636
178.83176086632785
189.05538513813742
199.64365076099295
2010
2110.2469507659596
2210.8166538263920
2311.9582607431014
2412.4498995979887
2512.5299640861417
2612.7671453348037
2713.6381816969859
2814.1067359796659
2914.1774468787578
3014.3874945699382
3114.4568322948010
3215.7162336455017
3317.4068951855292
3418.9736659610103
3519.1049731745428
3619.3390796058137
3720.4450483002609
3821.8632111090754
3922.1585198061603
4024.7184141886165
4124.7790233867277
4225.0798724079689
4328.1957443597434
4429.1890390386528
4530.0333148353624
4632.4191301548947
4736.6469644036174
4837.1618083521241
4937.6430604494374
5040.3360880601974
5145.6179789118282
5246.5832587954085
5355.7045779088218
5466.1966766537415
5573.280283842245
5689.5656184034923
57141.601553663793
58153.088209866077
59308.930412876428
 
Charts produced by software:
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Nov/10/t122635463483208sys08w9gvo/16vth1226354576.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Nov/10/t122635463483208sys08w9gvo/16vth1226354576.ps (open in new window)


http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Nov/10/t122635463483208sys08w9gvo/2htx91226354576.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Nov/10/t122635463483208sys08w9gvo/2htx91226354576.ps (open in new window)


 
Parameters (Session):
par1 = complete ; par2 = ALL ; par3 = FALSE ; par4 = FALSE ;
 
Parameters (R input):
par1 = complete ; 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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