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Hierachical

*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 06:18:47 -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/t1226323168ugn89rgr8ten9dw.htm/, Retrieved Mon, 10 Nov 2008 13:19:31 +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/t1226323168ugn89rgr8ten9dw.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 «
7.4 6.2 9.0 7.2 6.1 8.8 7.1 5.9 8.7 6.9 5.6 8.7 6.8 5.5 8.6 6.8 5.5 8.6 6.8 5.6 8.5 6.9 5.7 8.5 6.7 5.6 8.3 6.6 5.4 8.2 6.5 5.3 8.1 6.4 5.3 7.8 6.3 5.4 7.5 6.3 5.5 7.4 6.3 5.6 7.3 6.5 5.7 7.7 6.6 5.8 7.7 6.5 5.8 7.6 6.4 5.7 7.3 6.5 5.9 7.2 6.7 6.1 7.5 7.1 6.4 8.0 7.1 6.4 8.1 7.2 6.3 8.4 7.2 6.2 8.6 7.3 6.2 8.7 7.3 6.3 8.6 7.3 6.5 8.4 7.3 6.6 8.4 7.4 6.6 8.5 7.6 6.7 8.9 7.6 6.6 8.8 7.6 6.7 8.7 7.7 7.0 8.6 7.8 7.2 8.6 7.9 7.3 8.6 8.1 7.5 8.8 8.1 7.6 8.8 8.1 7.7 8.8 8.2 7.8 8.8 8.2 7.8 8.7 8.2 7.7 8.7 8.2 7.6 8.9 8.2 7.6 8.9 8.2 7.7 9.0 8.3 7.8 8.9 8.3 7.8 9.0 8.4 7.8 9.1 8.4 7.7 9.3 8.4 7.6 9.4 8.3 7.4 9.4 8.0 7.1 9.2 8.0 7.1 9.2 8.2 7.3 9.4 8.6 7.6 9.9 8.7 7.8 10.0 8.7 7.7 9.9 8.5 7.6 9.6 8.4 7.5 9.5 8.4 7.5 9.6 8.4 7.5 9.5 8.5 7.6 9.6 8.5 7.6 9.6 8.5 7.7 9.5 8.5 7.8 9.5 8.5 7.7 9.5 8.4 7.6 9.5 8.4 7.6 9.4 8.4 7.6 9.5 8.5 7.7 9.5 8.6 7.8 9.5 8.6 7.8 9.5 8.6 7.9 9.5 8.6 7.9 9.4 8.5 7.8 9.3 8.4 7.8 9.2 8.4 7.7 9.3 8.3 7.5 9.4 8.2 7.1 9.5 8.1 6.9 9.6 8.2 7.1 9.5 8.1 7.1 9.3 8.0 7.1 9.1 7.9 7.0 9.0 7.8 6.9 9.0 7.7 6.8 8.9 7.7 6.7 9.0 7.9 6.8 9.2 7.8 6.8 9.0 7.6 6.7 8.7 7.4 6.8 8.3 7.3 6.7 8.0 7.1 6.6 7.7 7.1 6.4 7.9 7.0 6.4 7.9 7.0 6.4 7.8 7.0 6.5 7.7 6.9 6.5 7.5 6.8 6.4 7.3 6.7 6.3 7.2 6.6 6.2 7.1 6.6 6.3 7.1
 
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
10
20
30
40
50
60
70
80
90
100
110
120
130
140
150.0999999999999996
160.0999999999999996
170.0999999999999996
180.0999999999999996
190.0999999999999996
200.0999999999999996
210.0999999999999996
220.0999999999999996
230.0999999999999996
240.0999999999999996
250.0999999999999996
260.0999999999999996
270.0999999999999996
280.0999999999999996
290.100000000000001
300.141421356237309
310.141421356237309
320.141421356237309
330.141421356237309
340.141421356237309
350.141421356237309
360.141421356237309
370.141421356237309
380.141421356237309
390.141421356237309
400.141421356237309
410.141421356237310
420.141421356237310
430.141421356237310
440.141421356237310
450.141421356237310
460.141421356237310
470.173205080756887
480.173205080756888
490.173205080756888
500.173205080756888
510.173205080756888
520.200000000000001
530.223606797749978
540.223606797749978
550.223606797749979
560.223606797749979
570.223606797749980
580.223606797749980
590.244948974278317
600.244948974278318
610.244948974278318
620.244948974278318
630.244948974278318
640.244948974278318
650.300000000000000
660.331662479035539
670.331662479035540
680.33166247903554
690.33166247903554
700.346410161513776
710.360555127546398
720.360555127546399
730.374165738677394
740.374165738677394
750.412310562561766
760.412310562561766
770.412310562561767
780.412310562561767
790.458257569495584
800.458257569495584
810.469041575982343
820.509901951359278
830.53851648071345
840.616441400296898
850.640312423743284
860.640312423743285
870.640312423743285
880.728010988928052
890.781024967590665
900.787400787401182
910.860232526704263
920.948683298050514
931.08166538263920
941.09544511501033
951.12249721603218
961.39642400437689
971.47986485869487
981.7606816861659
992.02731349327133
1002.11187120819429
1014.22965719651132
 
Charts produced by software:
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Nov/10/t1226323168ugn89rgr8ten9dw/19kyr1226323124.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Nov/10/t1226323168ugn89rgr8ten9dw/19kyr1226323124.ps (open in new window)


http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Nov/10/t1226323168ugn89rgr8ten9dw/2pqrl1226323124.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Nov/10/t1226323168ugn89rgr8ten9dw/2pqrl1226323124.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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