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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 15:15:21 -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/t12262690124axmamvxofj3n9h.htm/, Retrieved Sun, 09 Nov 2008 22:16:52 +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/t12262690124axmamvxofj3n9h.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 «
1332.7 744.8 64.5 53.3 1343.8 672.1 57.9 66.9 1421.6 666.6 72.5 73.7 1329.8 760.8 82.9 71.9 1306.8 756 62.7 67.9 1412.8 604.4 66.6 77.5 1358.1 883.9 70.9 82 1163.9 527.9 56.3 40.5 1467.9 756.2 81.2 76.2 1433.7 812.9 67.8 75 1362.2 655.6 57.2 64 1299 707.6 62.8 77.2 1291.5 612.6 51.2 63.9 1452.7 659.2 66.5 71.4 1555.4 833.4 71.5 71.3 1402.5 727.8 67.8 50 1242.9 797.2 56.9 47.9 1514.6 753 90.6 55.2 1308.6 762 64.1 61.8 1239.3 613.7 65.7 53.6 1519.9 759.2 77.9 60 1659.4 816.4 84.2 72.7 1597.6 736.8 81.7 63.6 1340.6 680.1 65.9 62.1 1427.2 736.5 76.1 58.1 1438.1 637.2 80.1 68.1 1616.2 801.9 74.3 65.5 1392.8 772.3 86.5 59.3 1318.7 897.3 70.9 65.7 1420.9 792.1 91.5 68.3 1221 826.8 93.7 77.8 1310 666.8 77.5 49.1 1466.7 906.6 100.3 96.9 1299.3 871.4 85.7 64.6 1640 891 95 67 1506.3 739.2 73.7 64.6 1530.2 833.6 87.6 84.3 1661.9 715.6 87.6 72.6 1880.3 871.6 92.9 71.3 1230.8 751.6 80.7 52.8 1406.5 1005.5 74 63.9 1523.5 681.2 87.7 67.9 1323.2 837.3 68.2 74.1 1319.2 674.7 117.4 61.7 1500.7 806.3 100.1 74.1 1483 860.2 97.7 83.5 1497 689.8 101.1 75.6 1219.8 691.6 87.6 77.9 1472.9 682.6 83.2 69.2 1423.9 800.1 85.9 67.8 1629.6 1023.7 118 74.8 1353.4 733.5 87.3 69.7 1366.8 875.3 79.5 69.9 1527.1 770.2 93.2 84.3 1487.6 1005.7 99.2 81.7 1478.6 982.3 66.6 69.3 1536.7 742.9 83.9 83.8 1682.1 974.2 100.4 96 1576.5 822.3 73.5 74.2 1280.5 773.2 60.8 70.4
 
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 time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24


Summary of Dendrogram
LabelHeight
18.85494212290515
210.2279030108816
312.6996062931101
415.8385605406553
519.2359039298911
624.1004149341873
728.1475732839986
828.6405307213397
929.8832729131199
1030.4004934170485
1130.8047074324688
1231.5280827200132
1334.9322789588908
1435.1176389143834
1535.6008426866556
1636.5707863979078
1738.4613843571213
1839.1834708518015
1942.9543944201289
2043.3108531432943
2143.5639759434329
2244.6210549016530
2347.1841074939434
2451.038906728103
2553.0680694956959
2653.6888015539384
2755.1578643531456
2857.6835603709639
2959.4460935409873
3066.4627566779564
3168.5546497328957
3271.6705743709065
3373.3481828871525
3476.2674164099332
3577.2379440430673
3682.6471113345416
3789.454724127598
3889.9400046249197
3994.3906816738263
4098.0445799036604
4199.320618871841
42115.148376076700
43130.421807563817
44172.65571564099
45182.470380793106
46182.891267727916
47188.558462082211
48254.72856076033
49320.25023469103
50333.574297031748
51334.891331545112
52467.451853099401
53486.638134936534
54525.662150516458
55582.389426488984
56944.599626611977
57966.756896711748
581202.39501240223
593381.28192838584
 
Charts produced by software:
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Nov/09/t12262690124axmamvxofj3n9h/1uljj1226268916.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Nov/09/t12262690124axmamvxofj3n9h/1uljj1226268916.ps (open in new window)


http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Nov/09/t12262690124axmamvxofj3n9h/2vkjz1226268916.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Nov/09/t12262690124axmamvxofj3n9h/2vkjz1226268916.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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Software written by Ed van Stee & Patrick Wessa


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