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WS4

R Software Module: rwasp_hierarchicalclustering.wasp (opens new window with default values)
Title produced by software: Hierarchical Clustering
Date of computation: Sun, 18 Nov 2007 10:48:33 -0700
 
Cite this page as follows:
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2007/Nov/18/t11954077067nb6hgx4xn9sd1n.htm/, Retrieved Sun, 18 Nov 2007 18:41:46 +0100
 
User-defined keywords:
WS4
 
Dataseries X:
» Textbox « » Textfile « » CSV «
97,3 93,5 104,8 124,9 101 94,7 105,6 132 113,2 112,9 118,3 151,4 101 99,2 89,9 108,9 105,7 105,6 90,2 121,3 113,9 113 107 123,4 86,4 83,1 64,5 90,3 96,5 81,1 92,6 79,3 103,3 96,9 95,8 117,2 114,9 104,3 94,3 116,9 105,8 97,7 91,2 120,8 94,2 102,6 86,3 96,1 98,4 89,9 77,6 100,8 99,4 96 82,5 105,3 108,8 112,7 97,7 116,1 112,6 107,1 83,3 112,8 104,4 106,2 84,2 114,5 112,2 121 92,8 117,2 81,1 101,2 77,4 77,1 97,1 83,2 72,5 80,1 112,6 105,1 88,8 120,3 113,8 113,3 93,4 133,4 107,8 99,1 92,6 109,4 103,2 100,3 90,7 93,2 103,3 93,5 81,6 91,2 101,2 98,8 84,1 99,2 107,7 106,2 88,1 108,2 110,4 98,3 85,3 101,5 101,9 102,1 82,9 106,9 115,9 117,1 84,8 104,4 89,9 101,5 71,2 77,9 88,6 80,5 68,9 60 117,2 105,9 94,3 99,5 123,9 109,5 97,6 95 100 97,2 85,6 105,6 103,6 114,5 91,9 102,5 94,1 93,5 75,8 93,3 98,7 100,9 79,8 97,3 119,5 121,1 99 127 112,7 116,5 88,5 111,7 104,4 109,3 86,7 96,4 124,7 118,1 97,9 133 89,1 108,3 94,3 72,2 97 105,4 72,9 95,8 121,6 116,2 91,8 124,1 118,8 111,2 93,2 127,6 114 105,8 86,5 110,7 111,5 122,7 98,9 104,6 97,2 99,5 77,2 112,7 102,5 107,9 79,4 115,3 113,4 124,6 90,4 139,4 109,8 115 81,4 119 104,9 110,3 85,8 97,4 126,1 132,7 103,6 154 80 99,7 73,6 81,5 96,8 96,5 75,7 88,8 117,2 118,7 99,2 127,7 112,3 112,9 88,7 105,1 117,3 130,5 94,6 114,9 111,1 137,9 98,7 106,4 102,2 115 84,2 104,5 104,3 116,8 87,7 121,6 122,9 140,9 103,3 141,4 107,6 120,7 88,2 99 121,3 134,2 93,4 126,7 131,5 147,3 106,3 134,1 89 112,4 73,1 81,3 104,4 107,1 78,6 88,6 128,9 128,4 101,6 132,7 135,9 137,7 101,4 132,9 133,3 135 98,5 134,4 121,3 151 99 103,7 120,5 137,4 89,5 119,7 120,4 132,4 83,5 115 137,9 161,3 97,4 132,9 126,1 139,8 87,8 108,5 133,2 146 90,4 113,9 146,6 154,6 97,1 142,9 103,4 142,1 79,4 95,2 117,2 120,5 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 time5 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001


Summary of Dendrogram
LabelHeight
11.74928556845359
23.39116499156263
33.40293990543470
44.27784992724149
54.97091540865462
65.49363267792815
75.72363520850168
86.04565960007674
96.10409698481275
106.40390505863414
116.8044103344816
126.85930025585701
136.90941386804988
147.33416661932355
157.43319846155543
168.09320702811933
178.13510909576509
188.32105762508589
198.66544863235598
208.7630497874952
218.94091717890284
229.42578354323287
239.43345111822815
249.82805309654202
2510.2042522365039
2610.7678490217154
2711.1700492389246
2811.3966693593580
2911.5351636312625
3011.6099095603713
3111.6807534003591
3211.7865146265502
3311.8949761916029
3411.9155360769040
3512.9553707875648
3613.3120246394003
3713.5177973168608
3813.6214062055956
3913.8097786560340
4014.1859814878576
4114.8549654997916
4215.3127397940408
4316.0791162019351
4416.2467087644982
4516.8089262000879
4616.8595005301798
4717.2893137747923
4817.5789998366768
4917.6310491608526
5017.7170188755694
5119.1484982910573
5219.7596056456984
5320.1407846457694
5421.0693710903141
5522.5353007088034
5623.0426162567524
5724.0234929671519
5824.7491472432982
5927.3135133835557
6029.1187224994504
6129.7897975817926
6230.9971243154015
6332.8690667823914
6436.9603570100131
6537.3291717584563
6641.2990155745250
6743.4852052433074
6844.4934922810275
6945.0920376663262
7050.7837484460942
7151.7501093701212
7258.7321871936795
7377.8147335127634
74104.538627527516
75162.360760542454
76162.781915585912
77187.208652756772
78372.134485777678
79702.679652878129
 
Charts produced by software:
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2007/Nov/18/t11954077067nb6hgx4xn9sd1n/1lyqb1195408105.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2007/Nov/18/t11954077067nb6hgx4xn9sd1n/1lyqb1195408105.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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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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