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WS4 Q2 G6 hierarchical clustering

R Software Module: rwasp_hierarchicalclustering.wasp (opens new window with default values)
Title produced by software: Hierarchical Clustering
Date of computation: Thu, 01 Nov 2007 06:43:12 -0700
 
Cite this page as follows:
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2007/Nov/01/3u5mvrfs9z8l7he1193924634.htm/, Retrieved Thu, 01 Nov 2007 14:43:56 +0100
 
User-defined keywords:
 
Dataseries X:
» Textbox « » Textfile « » CSV «
518585 242621 275964 509239 238545 270694 512238 240337 271901 519164 244752 274412 517009 244576 272433 509933 241572 268361 509127 240541 268586 500857 236089 264768 506971 236997 269974 569323 264579 304744 579714 270349 309365 577992 269645 308347 565464 267037 298427 547344 258113 289231 554788 262813 291975 562325 267413 294912 560854 267366 293488 555332 264777 290555 543599 258863 284736 536662 254844 281818 542722 254868 287854 593530 277267 316263 610763 285351 325412 612613 286602 326011 611324 283042 328282 594167 276687 317480 595454 277915 317539 590865 277128 313737 589379 277103 312276 584428 275037 309391 573100 270150 302950 567456 267140 300316 569028 264993 304035 620735 287259 333476 628884 291186 337698 628232 292300 335932 612117 288186 323931 595404 281477 313927 597141 282656 314485 593408 280190 313218 590072 280408 309664 579799 276836 302963 574205 275216 298989 572775 274352 298423 572942 271311 301631 619567 289802 329765 625809 290726 335083 619916 292300 327616 587625 278506 309119 565742 269826 295916 557274 265861 291413 560576 269034 291542 548854 264176 284678 531673 255198 276475 525919 253353 272566 511038 246057 264981 498662 235372 263290 555362 258556 296806 564591 260993 303598 541657 254663 286994
 
Text written by user:
 
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 compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135


Summary of Dendrogram
LabelHeight
1872.41160010628
21327.86369782444
31384.1423337215
41491.05935495540
51764.01587294446
61764.26925382720
72047.88329745618
82084.0686169126
92120.66593314459
102172.22788859733
112187.43137035199
122288.13137469998
132312.20717064886
142383.81710707848
152699.09355154652
162741.64147911429
172747.17928064406
182838.75465653515
193146.8139442935
203313.60921051351
213318.87518200179
223510.11272075898
233788.33785665945
243942.9595623084
253986.99103672319
264028.21641286004
275214.69456324304
285525.27957063967
295898.52100106459
306054.68132607862
316384.08043022805
327004.57705996996
337176.1440795992
347196.72300425687
357733.6502634283
367919.87418888597
378123.00597069829
389243.13866727994
3910807.9272815957
4011442.5536747526
4111571.5460065374
4211984.2384178138
4312123.4203448221
4412537.7157420824
4514947.2535820025
4620873.3773218065
4722377.9477852035
4827305.7102222397
4928124.4333129377
5029138.5555221767
5139874.6016168609
5239990.3774530280
5351577.2707129203
5488726.6665243049
55105535.089740650
56154287.777122290
57248938.804217822
58754646.923445161
591224956.29922616
 
Charts produced by software:
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2007/Nov/01/3u5mvrfs9z8l7he1193924634/10gq11193924590.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2007/Nov/01/3u5mvrfs9z8l7he1193924634/10gq11193924590.ps (open in new window)


 
Parameters:
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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