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*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 04:00:34 -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/t1226314874c2cigcddrdietr5.htm/, Retrieved Mon, 10 Nov 2008 11:01:14 +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/t1226314874c2cigcddrdietr5.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 «
104.5 104.3 7.6 87.4 94.6 8.2 89.9 90.4 8.3 109.8 108.9 8.4 111.7 111.4 8.4 98.6 100.8 8.4 96.9 102.5 8.6 95.1 98.2 8.9 97 98.7 8.8 112.7 113.3 8.3 102.9 104.6 7.5 97.4 99.3 7.2 111.4 111.8 7.5 87.4 97.3 8.8 96.8 97.7 9.3 114.1 115.6 9.3 110.3 111.9 8.7 103.9 107 8.2 101.6 107.1 8.3 94.6 100.6 8.5 95.9 99.2 8.6 104.7 108.4 8.6 102.8 103 8.2 98.1 99.8 8.1 113.9 115 8 80.9 90.8 8.6 95.7 95.9 8.7 113.2 114.4 8.8 105.9 108.2 8.5 108.8 112.6 8.4 102.3 109.1 8.5 99 105 8.7 100.7 105 8.7 115.5 118.5 8.6 100.7 103.7 8.5 109.9 112.5 8.3 114.6 116.6 8.1 85.4 96.6 8.2 100.5 101.9 8.1 114.8 116.5 8.1 116.5 119.3 7.9 112.9 115.4 7.9 102 108.5 7.9 106 111.5 8 105.3 108.8 8 118.8 121.8 7.9 106.1 109.6 8 109.3 112.2 7.7 117.2 119.6 7.2 92.5 104.1 7.5 104.2 105.3 7.3 112.5 115 7 122.4 124.1 7 113.3 116.8 7 100 107.5 7.2 110.7 115.6 7.3 112.8 116.2 7.1 109.8 116.3 6.8 117.3 119 6.6 109.1 111.9 6.2 115.9 118.6 6.2
 
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'Herman Ole Andreas Wold' @ 193.190.124.10:1001


Summary of Dendrogram
LabelHeight
10.223606797749979
20.787400787401177
30.824621125123523
40.854400374531749
50.899999999999995
60.938083151964678
70.94868329805051
81.02956301409870
91.06301458127347
101.08627804912002
111.13578166916006
121.15758369027902
131.15766651051376
141.22065556157337
151.24498995979888
161.31529464379659
171.31529464379660
181.44189518308226
191.61099618585172
201.68184642053654
211.71851870736342
221.76128398081288
231.95409896349372
241.98242276015990
252.10391475115304
262.10833217002918
272.12784746941478
282.20227155455453
292.22081734816285
302.43325236839077
312.55147016443461
322.75631615287491
332.89690575210337
342.98496231131987
352.99543645643786
363.03358529916785
373.09384386867082
383.45554104070641
393.80688554432009
404.03832176461218
414.29750330010463
424.36577599058862
434.55468969631486
444.7218590368726
454.86238075940946
464.92672496182752
477.96140495525642
487.96261578114523
498.65372555776414
509.63875789986347
519.95623838505311
5210.4697957696811
5311.5048122045791
5412.2248075880169
5521.9224719317135
5635.3860830242731
5755.4929406964015
5866.9451582383682
59178.274381171402
60314.094936352818
 
Charts produced by software:
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Nov/10/t1226314874c2cigcddrdietr5/15qht1226314828.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Nov/10/t1226314874c2cigcddrdietr5/15qht1226314828.ps (open in new window)


http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Nov/10/t1226314874c2cigcddrdietr5/216ou1226314829.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Nov/10/t1226314874c2cigcddrdietr5/216ou1226314829.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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