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hierarchial clustering Q2 EDA

*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: Wed, 12 Nov 2008 04:21:49 -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/12/t1226489016bhqo7c0fckz6i7r.htm/, Retrieved Wed, 12 Nov 2008 11:23:40 +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/12/t1226489016bhqo7c0fckz6i7r.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:

Post a new message
 
Original text written by user:
 
IsPrivate?
No (this computation is public)
 
User-defined keywords:
opdracht 6
 
Dataseries X:
» Textbox « » Textfile « » CSV «
565 148 418 547 138 410 555 137 418 562 136 426 561 133 428 555 126 430 544 120 424 537 114 423 543 116 427 594 153 441 611 162 449 613 161 452 611 149 462 594 139 455 595 135 461 591 130 461 589 127 463 584 122 462 573 117 456 567 112 455 569 113 456 621 149 472 629 157 472 628 157 471 612 147 465 595 137 459 597 132 465 593 125 468 590 123 467 580 117 463 574 114 460 573 111 462 573 112 461 620 144 476 626 150 476 620 149 471 588 134 453 566 123 443 557 116 442 561 117 444 549 111 438 532 105 427 526 102 424 511 95 416 499 93 406 555 124 431 565 130 434 542 124 418 527 115 412 510 106 404 514 105 409 517 105 412 508 101 406 493 95 398 490 93 397 469 84 385 478 87 390 528 116 413 534 120 413 518 117 401
 
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
11.41421356237310
21.41421356237310
31.41421356237310
41.73205080756888
52.23606797749979
62.44948974278318
72.82842712474619
83.65602689891371
93.74165738677394
103.74165738677394
113.74165738677394
123.74165738677394
133.74165738677394
144.12310562561766
154.24264068711928
164.58257569495584
175.09901951359278
185.74456264653803
196.48074069840786
206.96564801457551
217.34846922834953
228.20407816807507
238.48528137423857
249.00353107304067
259.47161567483146
2610.0035541233253
2710.0436084811547
2810.7238052947636
2910.9198183276202
3011.352162112529
3111.3578166916005
3211.7688290727508
3312.2642459334231
3412.3828431695042
3513.2567139436797
3614.0367549301043
3714.7017043493017
3816.6511101865354
3919.1887274389745
4020.8519216239285
4121.5136604490006
4222.1805609438077
4324.4873530190255
4425.3853212333016
4528.2189872358057
4636.5424602768386
4739.8804146839637
4841.9742545325414
4945.1334941821552
5048.030064668399
5151.7193297232399
5275.0674625012845
5387.5786186610769
54106.054115926471
55174.291562089309
56200.629311269414
57434.364360278614
58454.702779456106
591398.25140240886
 
Charts produced by software:
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Nov/12/t1226489016bhqo7c0fckz6i7r/1ytun1226488907.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Nov/12/t1226489016bhqo7c0fckz6i7r/1ytun1226488907.ps (open in new window)


http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Nov/12/t1226489016bhqo7c0fckz6i7r/2y56o1226488907.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Nov/12/t1226489016bhqo7c0fckz6i7r/2y56o1226488907.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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