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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 05:51:18 -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/t1226235134xa9yx5ntlnc95o5.htm/, Retrieved Sun, 09 Nov 2008 12:52:17 +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/t1226235134xa9yx5ntlnc95o5.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 «
7,4 6,2 9 17,1 15,5 18,8 6,3 7,2 6,1 8,8 17 15,5 18,8 6,2 7,1 5,9 8,7 16,8 15,5 18,8 6,1 6,9 5,6 8,7 15,6 13 19,4 5,9 6,8 5,5 8,6 15,8 13 19,4 5,8 6,8 5,5 8,6 16,2 13 19,4 5,7 6,8 5,6 8,5 17,3 15,4 20,6 5,7 6,9 5,7 8,5 18,2 15,4 20,6 5,7 6,7 5,6 8,3 17,6 15,4 20,6 5,5 6,6 5,4 8,2 16,6 13,5 19,2 5,5 6,5 5,3 8,1 16 13,5 19,2 5,5 6,4 5,3 7,8 15,5 13,5 19,2 5,4 6,3 5,4 7,5 15,2 14,5 16,8 5,3 6,3 5,5 7,4 15,4 14,5 16,8 5,3 6,3 5,6 7,3 15,9 14,5 16,8 5,3 6,5 5,7 7,7 16,8 15,5 19 5,4 6,6 5,8 7,7 17,2 15,5 19 5,4 6,5 5,8 7,6 17,1 15,5 19 5,4 6,4 5,7 7,3 14,7 15,1 16 5,4 6,5 5,9 7,2 15,3 15,1 16 5,4 6,7 6,1 7,5 16,4 15,1 16 5,5 7,1 6,4 8 19,7 19,2 19,9 5,7 7,1 6,4 8,1 19,5 19,2 19,9 5,8 7,2 6,3 8,4 19,3 19,2 19,9 5,9 7,2 6,2 8,6 18,8 16,8 20,7 6 7,3 6,2 8,7 18,5 16,8 20,7 6,1 7,3 6,3 8,6 18,4 16,8 20,7 6,1 7,3 6,5 8,4 17,9 17,6 17,9 6,1 7,3 6,6 8,4 17,8 17,6 17,9 6,2 7,4 6,6 8,5 17,6 17,6 17,9 6,3 7,6 6,7 8,9 16,5 16,4 16,7 6,6 7,6 6,6 8,8 16,4 16,4 16,7 6,6 7,6 6,7 8,7 16,7 16,4 16,7 6,5 7,7 7 8,6 17,5 18,2 18,5 6,5 7,8 7,2 8,6 18,4 18,2 18,5 6,6 7,9 7,3 8,6 19,2 18,2 18,5 6,6 8,1 7,5 8,8 21,5 21,8 21,3 6,6 8,1 7,6 8,8 21,6 21,8 21,3 6,6 8,1 7,7 8,8 21,6 21,8 21,3 6,6 8,2 7,8 8,8 21,5 22,2 20,3 6,8 8,2 7,8 8,7 21,4 22,2 20,3 6,8 8,2 7,7 8,7 21,4 22,2 20,3 6,7 8,2 7,6 8,9 21,8 21 22,9 6,7 8,2 7,6 8,9 21,7 21 22,9 6,7 8,2 7,7 9 22 21 22,9 6,7 8,3 7,8 8,9 22,1 23,4 20,6 6,8 8,3 7,8 9 22,3 23,4 20,6 6,8 8,4 7,8 9,1 22,2 23,4 20,6 6,9 8,4 7,7 9,3 21,1 20,3 20,5 7 8,4 7,6 9,4 20,4 20,3 20,5 7 8,3 7,4 9,4 19,7 20,3 20,5 7 8 7,1 9,2 19,2 17,7 21,9 6,8 8 7,1 9,2 19,4 17,7 21,9 6,8 8,2 7,3 9,4 20,3 17,7 21,9 6,9 8,6 7,6 9,9 22,2 21,9 23,4 7,1 8,7 7,8 10 22,8 21,9 23,4 7,2 8,7 7,7 9,9 22,6 21,9 23,4 7,2 8,5 7,6 9,6 22,1 20 24 7 8,4 7,5 9,5 21,6 20 24 7 8,4 7,5 9,6 21,5 20 24 7 8,4 7,5 9,5 21,1 20,1 22,9 7 8,5 7,6 9,6 21,4 20,1 22,9 7,1 8,5 7,6 9,6 21,7 20,1 22,9 7,1 8,5 7,7 9,5 22,3 22,3 21,5 7,1 8,5 7,8 9,5 22 22,3 21,5 7,1 8,5 7,7 9,5 21,4 22,3 21,5 7,1 8,4 7,6 9,5 21,3 20,3 22,2 7,1 8,4 7,6 9,4 21 20,3 22,2 7,1 8,4 7,6 9,5 21,2 20,3 22,2 7,1 8,5 7,7 9,5 21,3 21,6 21,8 7,1 8,6 7,8 9,5 21,7 21,6 21,8 7,1 8,6 7,8 9,5 21,9 21,6 21,8 7,1 8,6 7,9 9,5 21,3 21 21,3 7,2 8,6 7,9 9,4 21,3 21 21,3 7,2 8,5 7,8 9,3 20,7 21 21,3 7,2 8,4 7,8 9,2 20,9 19,8 21,9 7,1 8,4 7,7 9,3 20,8 19,8 21,9 7,1 8,3 7,5 9,4 20,5 19,8 21,9 7,1 8,2 7,1 9,5 20,3 16,5 25,1 6,9 8,1 6,9 9,6 20,5 16,5 25,1 6,8 8,2 7,1 9,5 20,9 16,5 25,1 6,8 8,1 7,1 9,3 20,5 18,4 22,1 6,8 8 7,1 9,1 20,4 18,4 22,1 6,7 7,9 7 9 19,4 18,4 22,1 6,7 7,8 6,9 9 19,3 17,3 21,8 6,6 7,7 6,8 8,9 19,1 17,3 21,8 6,6 7,7 6,7 9 19,7 17,3 21,8 6,5 7,9 6,8 9,2 20,9 17,7 24,1 6,5 7,8 6,8 9 20,9 17,7 24,1 6,4 7,6 6,7 8,7 20,2 17,7 24,1 6,3 7,4 6,8 8,3 19,2 17,5 18,8 6,2 7,3 6,7 8 18 17,5 18,8 6,2 7,1 6,6 7,7 17 17,5 18,8 6,1 7,1 6,4 7,9 17,3 16 18,9 6 7 6,4 7,9 17,2 16 18,9 6 7 6,4 7,8 17,5 16 18,9 6 7 6,5 7,7 17,7 16,8 17,8 6 6,9 6,5 7,5 17,4 16,8 17,8 5,9 6,8 6,4 7,3 16,8 16,8 17,8 5,8 6,7 6,3 7,2 16,4 16,2 15,7 5,8 6,6 6,2 7,1 15,7 16,2 15,7 5,7 6,6 6,3 7,1 15,9 16,2 15,7 5,7
 
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'George Udny Yule' @ 72.249.76.132


Summary of Dendrogram
LabelHeight
10.0999999999999996
20.100000000000001
30.100000000000001
40.100000000000001
50.141421356237309
60.141421356237310
70.141421356237310
80.173205080756887
90.173205080756887
100.173205080756887
110.173205080756888
120.173205080756889
130.180473785412439
140.199999999999999
150.199999999999999
160.200000000000001
170.21001876932486
180.223606797749980
190.244948974278317
200.244948974278317
210.244948974278317
220.244948974278318
230.258787952570957
240.264575131106458
250.26457513110646
260.28284271247462
270.300000000000001
280.316227766016838
290.326556375844544
300.326977374784334
310.331662479035539
320.33166247903554
330.351074302209238
340.373205080756888
350.385315060485342
360.387298334620742
370.424264068711929
380.446216004912683
390.463798343659600
400.532191181034298
410.562007106386713
420.565612234498309
430.59597794210516
440.6
450.607657726329594
460.617755372503103
470.627136979339215
480.640835873512633
490.646106173096742
500.648074069840787
510.714142842854288
520.716587322927441
530.763571901510652
540.76808279910572
550.812403840463597
560.815049246453752
570.900108246680937
580.932607549038975
590.983064446160989
600.994438466145684
611.01355058276665
621.02249189215414
631.07238052947636
641.07707244321702
651.21101663893442
661.38997543684083
671.4825973627466
681.60337556295266
691.73417546415929
701.74933946266957
711.77906331548344
722.04290490406419
732.05949949148607
742.22129191524045
752.72070607512556
762.94419398592388
773.05868184748284
783.06681921038118
793.52627417890288
803.79612510585677
813.84648328892399
824.42208411340258
834.42782058319631
844.7659220105102
855.07210036268737
865.11072061433391
875.36724442977598
885.45754292647506
895.95962102582804
907.03893318572052
918.9167122072538
9210.0077636737910
9311.1567628485159
9412.7960338800296
9518.2934330065011
9618.4874276252766
9721.1560941229525
9826.8395832778483
9929.8466625843467
10055.6777172268955
101232.114189630106
 
Charts produced by software:
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Nov/09/t1226235134xa9yx5ntlnc95o5/1npkv1226235076.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Nov/09/t1226235134xa9yx5ntlnc95o5/1npkv1226235076.ps (open in new window)


http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Nov/09/t1226235134xa9yx5ntlnc95o5/23a111226235076.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Nov/09/t1226235134xa9yx5ntlnc95o5/23a111226235076.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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