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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: Sun, 09 Nov 2008 04:12:16 -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/09/t1226229257jiszrxtv2oshlo1.htm/, Retrieved Sun, 09 Nov 2008 11:14:17 +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/09/t1226229257jiszrxtv2oshlo1.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 «
97.40 104.20 65.40 95.40 97.00 103.20 72.20 98.70 105.40 112.70 80.40 99.90 102.70 106.40 77.70 98.60 98.10 102.60 76.50 100.30 104.50 110.60 100.10 100.20 87.40 95.20 73.50 100.40 89.90 89.00 77.30 101.40 109.80 112.50 98.60 103.00 111.70 116.80 112.40 109.10 98.60 107.20 77.30 111.40 96.90 113.60 139.30 114.10 95.10 101.80 75.40 121.80 97.00 102.60 64.20 127.60 112.70 122.70 86.80 129.90 102.90 110.30 79.10 128.00 97.40 110.50 71.70 123.50 111.40 121.60 100.00 124.00 87.40 100.30 82.10 127.40 96.80 100.70 74.80 127.60 114.10 123.40 92.30 128.40 110.30 127.10 83.30 131.40 103.90 124.10 83.70 135.10 101.60 131.20 148.00 134.00 94.60 111.60 71.40 144.50 95.90 114.20 71.20 147.30 104.70 130.10 84.60 150.90 102.80 125.90 80.90 148.70 98.10 119.00 80.60 141.40 113.90 133.80 105.50 138.90 80.90 107.50 79.20 139.80 95.70 113.50 78.40 145.60 113.20 134.40 92.60 147.90 105.90 126.80 88.30 148.50 108.80 135.60 98.20 151.10 102.30 139.90 157.40 157.50 99.00 129.80 73.90 167.50 100.70 131.00 80.90 172.30 115.50 153.10 93.00 173.50 100.70 134.10 84.90 187.50 109.90 144.10 96.20 205.50 114.60 155.90 106.50 195.10 85.40 123.30 81.70 204.50 100.50 128.10 82.90 204.50 114.80 144.30 96.00 201.70 116.50 153.00 92.60 207.00 112.90 149.90 116.50 206.60 102.00 150.90 155.00 210.60 106.00 141.00 95.10 211.10 105.30 138.90 86.20 215.00 118.80 157.40 105.00 223.90 106.10 142.90 89.70 238.20 109.30 151.70 97.10 238.90 117.20 161.00 120.80 229.60 92.50 138.50 92.20 232.20 104.20 135.90 98.80 222.10 112.50 151.50 104.10 221.60 122.40 164.00 106.50 227.30 113.30 159.10 113.40 221.00 100.00 157.00 192.40 213.60 110.70 142.10 103.60 243.40 112.80 144.80 97.60 253.80 109.80 152.10 99.90 265.30 117.30 154.60 106.20 268.20 109.10 148.70 104.90 268.50 115.90 157.70 114.20 266.90 95.70 146.70 94.50 268.40
 
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'Sir Ronald Aylmer Fisher' @ 193.190.124.24


Summary of Dendrogram
LabelHeight
14.04103947023537
24.75604878023764
35.63737527578216
45.91185250154298
56.17251974480438
66.2072538211354
76.46451854355759
86.87677249878168
97.48064168370602
107.64787552199954
117.70956081228366
127.75435361587283
137.8993670632526
147.9881161734166
158.386298349093
168.73899307700836
178.7897667773383
189.96594200264079
1910.2615788258922
2011.6768205803551
2111.9553335377981
2212.0519707931940
2312.4843902534325
2413.0108159147509
2513.6430643785755
2614.0307284758347
2714.0760358538234
2815.0816505999458
2915.0882777902309
3015.8899339205674
3116.0081229380587
3216.3377918292690
3316.3830504573684
3416.466329281294
3518.0118434406908
3618.1742115724294
3719.4615792594989
3819.6257566684387
3920.3210357140386
4020.524412101805
4120.9252850609764
4223.2932375377684
4326.0434556677486
4426.7729340939689
4529.0472898862976
4631.4734240938864
4732.9319741717726
4837.0866753543346
4937.7393374631991
5038.0653385641058
5138.5555382588199
5245.4790219287071
5346.0724137488915
5465.3562398009453
5566.7129536912145
5674.8966415340184
5779.5452942893965
58101.206957604599
59119.639990653523
60141.100565887340
61156.987505043749
62214.744248106761
63281.502004609666
64371.61218083215
65450.278470396741
662005.19317692777
 
Charts produced by software:
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Nov/09/t1226229257jiszrxtv2oshlo1/1xcxz1226229131.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Nov/09/t1226229257jiszrxtv2oshlo1/1xcxz1226229131.ps (open in new window)


http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Nov/09/t1226229257jiszrxtv2oshlo1/2oyhn1226229131.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Nov/09/t1226229257jiszrxtv2oshlo1/2oyhn1226229131.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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