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Ward

*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: Sun, 09 Nov 2008 05:21:33 -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/09/t1226233344qjcyfqiphkggx0x.htm/, Retrieved Sun, 09 Nov 2008 12:22:27 +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/09/t1226233344qjcyfqiphkggx0x.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 «
116.1 102.5 102.0 101.3 100.6 100.9 104.2 108.3 108.9 109.9 106.8 112.7 113.4 101.3 97.8 95.0 93.8 94.5 101.4 105.8 106.6 109.7 108.8 113.4 113.7 103.6 98.2 95.5 94.4 95.9 103.2 104.1 127.6 130.3 133.0 140.4 123.5 116.9 115.9 113.1 112.1 112.4 118.9 117.4 115.6 120.7 114.9 122.0 119.6 114.6 118.4 110.9 111.6 114.6 112.1 117.4 114.8 123.4 118.1 121.9 123.3 117.1 107.0 107.0 111.0 108.2 96.3 100.9 107.7 106.2 118.7 116.1 118.1 118.4 110.8 106.4 112.2 108.3 96.0 100.6 107.8 108.4 120.9 117.3 119.7 119.6 111.8 108.1 111.8 105.5 93.6 103.9 100.3 106.6 118.4 106.6 109.8 115.9 111.7 119.8 116.1 103.2 99.0 112.3 104.2 114.0 121.7 107.2 112.8 117.8 113.3 116.1 111.8 110.2 110.0 102.9 110.1 102.7 118.7 109.0 115.7 118.1 118.9 108.8 115.6 95.0 92.8 108.9 109.8 106.1 102.8 98.4 85.7 114.6 129.4 117.7 126.6 103.8 101.5 118.7 119.6 114.8 109.9 106.3 95.0 124.5 140.4 128.8 137.5 113.3 110.3 129.1 128.4 120.3 113.6 96.9 124.7 126.4 131.9 122.5 113.1 99.8 116.0 115.0 114.0 111.0 91.7 90.6 103.3 106.7 111.2 102.9 126.5 115.1 110.2 110.1 103.3 107.7 103.9 114.0 117.2 117.0 116.5 100.3 97.6 89.1 99.1 94.9 96.5 92.6 80.8 89.5 101.4 95.9 92.3 91.2 88.3 80.7 89.9 87.2 86.9 82.8 72.6 81.3 91.2 87.3 83.4 81.7 80.2 74.1 80.6 79.0 79.3 71.2 78.1 68.2 81.0 106.9 123.7 73.7 69.2 72.5 75.7 73.5 70.4 65.7 68.1 62.4 64.7 77.7 85.9 61.0 57.4 75.1 75.9 71.8 72.3 67.3 71.5 67.6 74.2 77.6 76.4 74.2
 
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 time7 seconds
R Server'George Udny Yule' @ 72.249.76.132


Summary of Dendrogram
LabelHeight
10
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60
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100
110
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550.0999999999999943
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730.100000000000009
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790.133333333333326
800.133333333333326
810.133333333333326
820.133333333333326
830.133333333333326
840.133333333333326
850.133333333333326
860.133333333333326
870.133333333333326
880.133333333333345
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900.133333333333345
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1010.199999999999989
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1962.40000000000001
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1982.65000000000000
1992.79333333333334
2002.86666666666666
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2064.00000000000001
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2105.59047619047619
2115.62638888888888
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22313.7066666666667
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22823.2378787878788
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23033.2502090301003
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23241.121645021645
23346.1317926143312
23455.1261097325614
23557.8721428571429
23664.1234032634032
23797.6985730687223
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239207.276232369781
240208.876273599041
241437.492415448782
242842.179162378502
2431926.68213710961
 
Charts produced by software:
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Nov/09/t1226233344qjcyfqiphkggx0x/13g781226233284.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Nov/09/t1226233344qjcyfqiphkggx0x/13g781226233284.ps (open in new window)


http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Nov/09/t1226233344qjcyfqiphkggx0x/2vshg1226233284.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Nov/09/t1226233344qjcyfqiphkggx0x/2vshg1226233284.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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