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WS4Q2

R Software Module: rwasp_hierarchicalclustering.wasp (opens new window with default values)
Title produced by software: Hierarchical Clustering
Date of computation: Mon, 05 Nov 2007 15:37:50 -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/05/n6e6bcux5phr0vb1194302131.htm/, Retrieved Mon, 05 Nov 2007 23:35:33 +0100
 
User-defined keywords:
Clustering
 
Dataseries X:
» Textbox « » Textfile « » CSV «
110,40 109,20 72,50 96,40 88,60 59,40 101,90 94,30 85,70 106,20 98,30 88,20 81,00 86,40 62,80 94,70 80,60 87,00 101,00 104,10 79,20 109,40 108,20 112,00 102,30 93,40 79,20 90,70 71,90 132,10 96,20 94,10 40,10 96,10 94,90 69,00 106,00 96,40 9,40 103,10 91,10 73,80 102,00 84,40 57,40 104,70 86,40 81,10 86,00 88,00 46,60 92,10 75,10 41,40 106,90 109,70 71,20 112,60 103,00 67,90 101,70 82,10 72,00 92,00 68,00 145,50 97,40 96,40 39,70 97,00 94,30 51,90 105,40 90,00 73,70 102,70 88,00 70,90 98,10 76,10 60,80 104,50 82,50 61,00 87,40 81,40 54,50 89,90 66,50 39,10 109,80 97,20 66,60 111,70 94,10 58,50 98,60 80,70 59,80 96,90 70,50 80,90 95,10 87,80 37,30 97,00 89,50 44,60 112,70 99,60 48,70 102,90 84,20 54,00 97,40 75,10 49,50 111,40 92,00 61,60 87,40 80,80 35,00 96,80 73,10 35,70 114,10 99,80 51,30 110,30 90,00 49,00 103,90 83,10 41,50 101,60 72,40 72,50 94,60 78,80 42,10 95,90 87,30 44,10 104,70 91,00 45,10 102,80 80,10 50,30 98,10 73,60 40,90 113,90 86,40 47,20 80,90 74,50 36,90 95,70 71,20 40,90 113,20 92,40 38,30 105,90 81,50 46,30 108,80 85,30 28,40 102,30 69,90 78,40 99,00 84,20 36,80 100,70 90,70 50,70 115,50 100,30 42,80
 
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
12.50998007960223
22.55147016443462
32.62488094968135
42.95972971738974
53.39411254969542
63.52278299076171
73.75632799419859
83.76696164036747
94.51995575199581
104.73392015141786
114.9079010563827
125.25071423713004
135.3
145.33104117410474
155.4
165.98080262172226
176.22047838353215
186.38278935889318
196.57038811639008
206.92977413024462
217.64002617796562
228.1182593038984
238.84449713737402
249.14484046179746
259.24932429964481
269.79679727033635
2710.2633740269860
2810.3190669237608
2910.3889364229453
3010.9233182808928
3112.4385046704342
3212.4559042613586
3312.7379027446850
3413.0859465167102
3513.4612099618835
3613.5073998026292
3714.0164189435105
3814.3912885718970
3914.7637011071232
4015.6316076178584
4115.723826795461
4215.8251255223825
4319.1557298969079
4422.1822000712283
4523.6165150580646
4624.7990771325046
4725.0581987388767
4832.7135379049812
4935.9511110358936
5037.9070147502445
5147.515108829537
5258.1162506945276
5362.3543610990595
5466.5046927196352
5567.3167385760507
5696.46840019713
57100.882219742585
58132.371302918782
59201.190158639282
60513.762410088595
 
Charts produced by software:
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2007/Nov/05/n6e6bcux5phr0vb1194302131/1g95s1194302267.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2007/Nov/05/n6e6bcux5phr0vb1194302131/1g95s1194302267.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')
}
 





Copyright

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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