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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 05:44:40 -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/t1226407563931tsmdaykfw32s.htm/, Retrieved Tue, 11 Nov 2008 12:46:03 +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/t1226407563931tsmdaykfw32s.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 «
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
 
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 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
55.60267793113257
66
76.04648658313239
86.107372593841
96.45368112010501
106.81102048154313
116.8622153857191
127.0128453569147
137.66016096709536
147.71686464828818
158.85607136375944
168.94475193585276
178.95153618101385
189.39912978430005
199.66436754267965
209.8777521198984
2111.1657039324978
2211.4150218295894
2311.7454217764764
2412.0474063598768
2512.5154359306909
2612.5654287630785
2712.8607325580086
2812.9172238594827
2913.5535973084639
3013.8837443883003
3114.2651315319852
3214.9127135427730
3316.3065652784745
3416.5576265235264
3516.867127793433
3617.6846354763138
3718.9863736311343
3819.9488838810722
3920.6935858573298
4023.1032243727837
4125.0706386629349
4225.9268101095106
4328.1700195243099
4428.8624848158755
4529.2728543193178
4630.3756282028669
4731.5113788522284
4836.2963404628255
4939.4410816308950
5041.3721940180458
5146.7225424578941
5246.8575925073069
5364.9471168468091
5469.8488139252402
5578.084432427651
5688.7162480207892
57157.470952823292
58222.477645426062
59569.54685486186
 
Charts produced by software:
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Nov/11/t1226407563931tsmdaykfw32s/18sr71226407475.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Nov/11/t1226407563931tsmdaykfw32s/18sr71226407475.ps (open in new window)


http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Nov/11/t1226407563931tsmdaykfw32s/2hf9i1226407475.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Nov/11/t1226407563931tsmdaykfw32s/2hf9i1226407475.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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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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