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Various EDA topics

R Software Module: rwasp_hierarchicalclustering.wasp (opens new window with default values)
Title produced by software: Hierarchical Clustering
Date of computation: Sun, 04 Nov 2007 06:22:38 -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/04/s6on5zk06p7f2vb1194182669.htm/, Retrieved Sun, 04 Nov 2007 14:24:30 +0100
 
User-defined keywords:
Q2 Median linkage duidelijker
 
Dataseries X:
» Textbox « » Textfile « » CSV «
106,7 97,3 93,5 104,8 124,9 110,2 101 94,7 105,6 132 125,9 113,2 112,9 118,3 151,4 100,1 101 99,2 89,9 108,9 106,4 105,7 105,6 90,2 121,3 114,8 113,9 113 107 123,4 81,3 86,4 83,1 64,5 90,3 87 96,5 81,1 92,6 79,3 104,2 103,3 96,9 95,8 117,2 108 114,9 104,3 94,3 116,9 105 105,8 97,7 91,2 120,8 94,5 94,2 102,6 86,3 96,1 92 98,4 89,9 77,6 100,8 95,9 99,4 96 82,5 105,3 108,8 108,8 112,7 97,7 116,1 103,4 112,6 107,1 83,3 112,8 102,1 104,4 106,2 84,2 114,5 110,1 112,2 121 92,8 117,2 83,2 81,1 101,2 77,4 77,1 82,7 97,1 83,2 72,5 80,1 106,8 112,6 105,1 88,8 120,3 113,7 113,8 113,3 93,4 133,4 102,5 107,8 99,1 92,6 109,4 96,6 103,2 100,3 90,7 93,2 92,1 103,3 93,5 81,6 91,2 95,6 101,2 98,8 84,1 99,2 102,3 107,7 106,2 88,1 108,2 98,6 110,4 98,3 85,3 101,5 98,2 101,9 102,1 82,9 106,9 104,5 115,9 117,1 84,8 104,4 84 89,9 101,5 71,2 77,9 73,8 88,6 80,5 68,9 60 103,9 117,2 105,9 94,3 99,5 106 123,9 109,5 97,6 95 97,2 100 97,2 85,6 105,6 102,6 103,6 114,5 91,9 102,5 89 94,1 93,5 75,8 93,3 93,8 98,7 100,9 79,8 97,3 116,7 119,5 121,1 99 127 106,8 112,7 116,5 88,5 111,7 98,5 104,4 109,3 86,7 96,4 118,7 124,7 118,1 97,9 133 90 89,1 108,3 94,3 72,2 91,9 97 105,4 72,9 95,8 113,3 121,6 116,2 91,8 124,1 113,1 118,8 111,2 93,2 127,6 104,1 114 105,8 86,5 110,7 108,7 111,5 122,7 98,9 104,6 96,7 97,2 99,5 77,2 112,7 101 102,5 107,9 79,4 115,3 116,9 113,4 124,6 90,4 139,4 105,8 109,8 115 81,4 119 99 104,9 110,3 85,8 97,4 129,4 126,1 132,7 103,6 154 83 80 99,7 73,6 81,5 88,9 96,8 96,5 75,7 88,8 115,9 117,2 118,7 99,2 127,7 104,2 112,3 112,9 88,7 105,1 113,4 117,3 130,5 94,6 114,9 112,2 111,1 137,9 98,7 106,4 100,8 102,2 115 84,2 104,5 107,3 104,3 116,8 87,7 121,6 126,6 122,9 140,9 103,3 141,4 102,9 107,6 120,7 88,2 99 117,9 121,3 134,2 93,4 126,7 128,8 131,5 147,3 106,3 134,1 87,5 89 112,4 73,1 81,3 93,8 104,4 107,1 78,6 88,6 122,7 128,9 128,4 101,6 132,7 126,2 135,9 137,7 101,4 132,9 124,6 133,3 135 98,5 134,4 116,7 121,3 151 99 103,7 115,2 120,5 137,4 89,5 119,7 111,1 120,4 132,4 83,5 115 129,9 137,9 161,3 97,4 132,9 113,3 126,1 139,8 87,8 108,5 118,5 133,2 146 90,4 113,9 133,5 146,6 154,6 97,1 142,9 102,1 103,4 142,1 79,4 95,2 102,4 117,2 120,5 85 93
 
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 time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001


Summary of Dendrogram
LabelHeight
11.81934053986603
23.4957116585897
33.63180395946697
44.33474336033865
55.22206855565876
65.60267793113257
75.74512072532152
86
96.04648658313239
106.107372593841
116.15860636429864
126.45368112010501
136.70856395188957
146.81102048154313
156.83260979020074
166.8622153857191
177.0128453569147
187.16449382464336
197.4083140899238
207.1214799907029
217.71686464828818
227.81092289440219
237.91086731317946
247.94059340560206
256.45490195478208
267.96271809360783
277.70067939697618
288.29095893126965
297.51037217573801
307.94376386896572
318.5041681997451
328.8164575574843
338.85607136375944
349.05437634040932
357.83392803491776
369.0763428758504
379.21848623328527
389.29070268016596
398.66339340060193
408.98480689422498
419.38657694801817
429.66436754267965
439.88155467921738
449.06835604025559
459.99780818937634
468.03111599037432
4710.3153385059235
4810.8988069450278
4911.3774274251371
5011.4240368413407
5110.0170600693164
5211.5200112198508
5312.1415308903006
5412.6197775493412
5512.7331168478134
5610.5384334583787
5713.1929396056270
5810.5316914252772
5913.7854807631251
6014.9393558791966
6113.7377260595379
6214.9566146749838
6315.2849599279815
6415.5326126998364
6513.4674105878907
6615.6674895966346
6716.867127793433
6818.8083300857208
6919.3647943879523
7019.6540748901031
7120.5663113863241
7221.3203126005834
7321.1238745486285
7422.8397962092912
7527.0414620405192
7629.7263816441574
7729.9564287500552
7849.2470366998065
7943.1842717413311
 
Charts produced by software:
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2007/Nov/04/s6on5zk06p7f2vb1194182669/1tgab1194182542.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2007/Nov/04/s6on5zk06p7f2vb1194182669/1tgab1194182542.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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