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Various EDA topics Q2

*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 12:14:32 -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/t1226431259hkqlxibcuc8me0w.htm/, Retrieved Tue, 11 Nov 2008 19:21:02 +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/t1226431259hkqlxibcuc8me0w.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)
 
Feedback Forum:

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Original text written by user:
 
IsPrivate?
No (this computation is public)
 
User-defined keywords:
 
Dataseries X:
» Textbox « » Textfile « » CSV «
101.5 110.4 92.1 101.3 112.9 88.5 99.3 109.4 84.6 100.6 111.9 87 101.2 108.9 83.6 99.8 113.8 84.8 100.6 114.5 84.1 101.1 113.2 84.1 101.2 111 80.5 101.5 114.6 82.6 102.2 113.1 85.6 102.5 113.2 83.3 101.4 115.1 86.1 103.8 117.6 84.7 105.2 117.8 85.7 105.3 115.7 84.9 104.4 115.7 84.2 104.9 118.3 85.2 106.9 117.9 86.1 107.6 117.3 86 106.7 119.4 84.5 106.1 117.1 87.2 106.3 119 83.5 105.8 120 81.9 104.4 118.9 78.5 103.8 116 81.1 102.4 115.6 79.2 103.3 119.7 80.9 103.5 119.7 81.8 104.5 120.8 79.4 103.5 120 83.4 103.9 120.2 81.1 103.1 121.7 79.8 102.2 116.9 79.7 104.7 122.4 84 105.9 122.6 83.7 106.6 123.7 83.5 106.6 120.9 83.6 107.5 124.2 86 107.2 122.6 86.8 109 125.7 86.9 108.4 123.1 89 107 122.2 87.8 108 126.2 86.8 110.8 124.4 88.8 110.9 127.8 85.9 109.7 124.2 86.7 111 126.7 87.9 111.5 126.1 88.5 111 128.2 88.7 111.8 130.4 88.1 111.4 130.2 85.7 110.8 129.2 86.1 111.9 129.7 85.7 112.9 131 84.3 111.8 129.2 86.4 111 131.1 85.4 112.3 132.9 86.9 112.4 135.2 85.6 111.1 132.3 86.4
 
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 time36 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135


Summary of Dendrogram
LabelHeight
10.707106781186548
20.76811457478686
30.806225774829859
40.927361849549567
50.978349904243247
60.984885780179612
71.04403065089106
81.09544511501033
91.12249721603218
101.14017542509913
111.14891252930761
121.25299640861417
131.27279220613579
141.40712472794704
151.43178210632764
161.45254311815147
171.56678697980096
181.71172427686237
191.82961168303490
201.85741756210067
211.93390796058137
222.03040883374266
232.0322907929321
242.0692142070437
252.17794521357138
262.20454076850487
272.21133443874960
282.25033696585204
292.30867927612304
302.62107549754218
312.66590583524444
322.6893099891605
332.70632824213286
342.80226765545423
352.80665624587371
363.06568081629505
373.16384688055847
383.26482891440574
393.32243014304053
403.66788515205633
413.95229820506904
424.24175856595941
434.53421079874847
444.95720305786675
455.80395245811841
465.87479229339253
476.4521071744103
486.6622830148285
497.42636066902864
509.05175380512833
5111.8917745401982
5212.3756862180623
5312.5013660793271
5413.8878299075531
5519.9167035461422
5629.5323075639989
5744.1688077458772
5875.9508472752781
59231.987191376794
 
Charts produced by software:
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Nov/11/t1226431259hkqlxibcuc8me0w/1m8711226430807.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Nov/11/t1226431259hkqlxibcuc8me0w/1m8711226430807.ps (open in new window)


http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Nov/11/t1226431259hkqlxibcuc8me0w/29iya1226430807.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Nov/11/t1226431259hkqlxibcuc8me0w/29iya1226430807.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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