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Hierarchical clustering

R Software Module: rwasp_hierarchicalclustering.wasp (opens new window with default values)
Title produced by software: Hierarchical Clustering
Date of computation: Fri, 02 Nov 2007 07:19:28 -0700
 
Cite this page as follows:
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2007/Nov/02/2skbcr3irstdyr11194013157.htm/, Retrieved Fri, 02 Nov 2007 15:19:19 +0100
 
User-defined keywords:
 
Dataseries X:
» Textbox « » Textfile « » CSV «
6,5 7,7 8,4 6,4 7,7 8,4 6,2 7,8 8,4 6,2 7,8 8,5 6,3 7,8 8,5 7,5 7,9 8,5 7,4 7,9 8,5 7,4 7,9 8,6 7,4 7,9 8,7 7,4 8 8,7 7,4 8 8,7 7,2 8,1 8,8 7,2 8,1 8,8 7,2 8,1 8,8 7,5 8,2 8,9 7,4 8,3 8,9 7,4 8,3 8,9 8 8,3 8,9 8,1 8,4 8,9 8,1 8,4 8,9 8,1 8,5 8,9 8,1 8,6 8,9 8,1 8,6 8,9 7,9 8,6 8,9 7,9 8,7 8,9 8 8,7 9 8,1 8,7 9 8,1 8,7 9 8,1 8,7 9 8,5 8,7 9 8,5 8,7 9 8,6 8,8 9 8,4 8,8 9,1 8,4 8,8 9,1 8,4 8,8 9,1 7,7 8,8 9,1 7,8 8,9 9,1 7,9 8,9 9,1 8,7 8,8 9 8,8 8,8 9 8,8 8,8 9 8,5 8,8 8,9 8,5 8,7 8,9 8,5 8,7 8,9 8,4 8,7 8,8 8,5 8,8 8,9 8,5 8,8 8,9 8,3 8,7 8,8 8,4 8,7 8,8 8,4 8,6 8,8 8,4 8,5 8,6 8,4 8,4 8,5 8,4 8,3 8,5 8,5 8,3 8,5 8,5 8,4 8,5 8,5 8,4 8,5 8,5 8,3 8,3 8,5 8,2 8,2 8,5 8,1 8,2 8,3 8 8,1 8,3 7,9 8 8,4 7,9 7,9 8,2 7,8 7,9 8,2 7,8 7,8 8,1 7,7 7,8 8,1 7,7 7,6 8 7,6 7,5 7,8 7,5 7,5 7,9 7,4 7,3 7,8 7,2 7,2 7,7 7,1 7,1 7,9 7 6,9
 
Text written by user:
 
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 compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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
160
170
180.0999999999999996
190.0999999999999996
200.0999999999999996
210.0999999999999996
220.0999999999999996
230.0999999999999996
240.0999999999999996
250.0999999999999996
260.100000000000001
270.100000000000001
280.127614237491539
290.127614237491539
300.133333333333333
310.133333333333333
320.137377344785321
330.141421356237309
340.149999999999999
350.173205080756888
360.173205080756888
370.176417624662798
380.182091389993231
390.188561808316414
400.191421356237309
410.199999999999999
420.210018769324858
430.210018769324861
440.210439768264648
450.219891421778965
460.244948974278318
470.250000000000003
480.250511492012331
490.32815089640682
500.348312766312543
510.370239447268856
520.391708798865966
530.442298645566624
540.462794333849736
550.474330028687255
560.602691639389095
570.693537256445647
580.837381574877334
590.8938295256216
600.970280149511545
610.981381438182842
621.20767040105691
631.40545236282507
641.45450947508770
651.49573987083444
663.67710824399263
675.27770784518212
686.13442273453823
696.59566222719246
7015.1159772626574
7126.4933402153258
 
Charts produced by software:
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2007/Nov/02/2skbcr3irstdyr11194013157/1zy7t1194013165.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2007/Nov/02/2skbcr3irstdyr11194013157/1zy7t1194013165.ps (open in new window)


 
Parameters:
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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Creative Commons License

This work is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 3.0 License.

Software written by Ed van Stee & Patrick Wessa


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