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*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: Tue, 11 Nov 2008 08:27:51 -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/11/t1226417397ywvgqn0vdxs9te0.htm/, Retrieved Tue, 11 Nov 2008 15:30:00 +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/11/t1226417397ywvgqn0vdxs9te0.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 «
97,6 89,6 6,4 9,1 96,9 92,8 6,3 9,0 105,6 107,6 6,3 8,6 102,8 104,6 6,4 7,9 101,7 103,0 6,3 7,7 104,2 106,9 6,0 7,8 92,7 56,3 6,2 9,1 91,9 93,4 6,3 9,4 106,5 109,1 6,6 9,3 112,3 113,8 7,5 8,7 102,8 97,4 7,8 8,4 96,5 72,5 7,9 8,6 101,0 82,7 7,8 9,0 98,9 88,9 7,6 9,1 105,1 105,9 7,5 8,7 103,0 100,8 7,6 8,2 99,0 94,0 7,5 7,9 104,3 105,0 7,3 7,9 94,6 58,5 7,6 9,1 90,4 87,6 7,5 9,4 108,9 113,1 7,6 9,5 111,4 112,5 7,9 9,1 100,8 89,6 7,9 9,0 102,5 74,5 8,1 9,3 98,2 82,7 8,2 9,9 98,7 90,1 8,0 9,8 113,3 109,4 7,5 9,4 104,6 96,0 6,8 8,3 99,3 89,2 6,5 8,0 111,8 109,1 6,6 8,5 97,3 49,1 7,6 10,4 97,7 92,9 8,0 11,1 115,6 107,7 8,0 10,9 111,9 103,5 7,7 9,9 107,0 91,1 7,5 9,2 107,1 79,8 7,6 9,2 100,6 71,9 7,7 9,5 99,2 82,9 7,9 9,6 108,4 90,1 7,8 9,5 103,0 100,7 7,5 9,1 99,8 90,7 7,5 8,9 115,0 108,8 7,1 9,0 90,8 44,1 7,5 10,1 95,9 93,6 7,5 10,3 114,4 107,4 7,6 10,2 108,2 96,5 7,7 9,6 112,6 93,6 7,7 9,2 109,1 76,5 7,9 9,3 105,0 76,7 8,1 9,4 105,0 84,0 8,2 9,4 118,5 103,3 8,2 9,2 103,7 88,5 8,1 9,0 112,5 99,0 7,9 9,0 116,6 105,9 7,3 9,0 96,6 44,7 6,9 9,8 101,9 94,0 6,6 10,0 116,5 107,1 6,7 9,9 119,3 104,8 6,9 9,3 115,4 102,5 7,0 9,0 108,5 77,7 7,1 9,0 111,5 85,2 7,2 9,1 108,8 91,3 7,1 9,1 121,8 106,5 6,9 9,1 109,6 92,4 7,0 9,2 112,2 97,5 6,8 8,8 119,6 107,0 6,4 8,3 104,1 51,1 6,7 8,4 105,3 98,6 6,7 8,1 115,0 102,2 6,4 7,8 124,1 114,3 6,3 7,9 116,8 99,4 6,2 7,9 107,5 72,5 6,5 8,0 115,6 92,3 6,8 7,9 116,2 99,4 6,8 7,5 116,3 85,9 6,5 7,2 119,0 109,4 6,3 6,9 111,9 97,6 5,9 6,6 118,6 104,7 5,9 6,7 106,7 56,5 6,4 7,3
 
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 time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135


Summary of Dendrogram
LabelHeight
10.91104335791443
20.938083151964682
31.10453610171873
41.36747943311774
51.43178210632764
61.45945195193263
71.45945195193264
81.47648230602333
91.54272486205416
101.59059737205869
111.61864140562386
121.67928556237466
131.77200451466694
141.78325545001269
151.88944436276912
161.89472953214964
171.9544820285692
182.06639783197718
192.14242852856285
202.14941852602046
212.35758353862168
222.4454038521275
232.49198715887542
242.61926542649884
252.88426245501738
262.89076615147303
272.94940495590803
282.96946033859769
293.05704289156166
303.22072969855832
313.22645316098033
323.25115364140177
333.28412028998540
343.50862201666774
353.56214888386368
363.63180395946697
373.65226833217092
383.69188298839495
393.77139402040309
404.16867005024373
414.504435952542
424.53789004975673
434.54972526643093
444.7021271782035
454.84659059620743
465.25642464038057
475.42347776062342
485.74934537970728
495.99049190107742
506.10081961706786
516.10982814815606
526.49446325510107
536.7759984811942
547.16190874348874
557.20872327691678
567.70948683320289
577.8675027861693
589.77899449072104
5911.0872538734327
6013.1794923133258
6113.9492350527428
6214.9207282726679
6316.6732148960125
6417.0598949438692
6517.6931122913625
6619.3527090773789
6720.9498199775892
6821.1252578305688
6923.7373182542812
7028.1448653557398
7131.5072474422490
7235.1541200481976
7346.850013212842
7487.8217584585704
75111.256617875142
76141.408475710082
77269.862549698179
78537.930427161591
 
Charts produced by software:
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Nov/11/t1226417397ywvgqn0vdxs9te0/1f6s81226417268.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Nov/11/t1226417397ywvgqn0vdxs9te0/1f6s81226417268.ps (open in new window)


http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Nov/11/t1226417397ywvgqn0vdxs9te0/258291226417268.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Nov/11/t1226417397ywvgqn0vdxs9te0/258291226417268.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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