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*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 11:17:28 -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/t1226254682zusjzw0okcdddzm.htm/, Retrieved Sun, 09 Nov 2008 18:18:02 +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/t1226254682zusjzw0okcdddzm.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 «
299.63 154.783 301.606 305.945 187.646 268.225 382.252 237.863 362.082 348.846 215.54 310.984 335.367 231.745 350.907 373.617 199.548 365.759 312.612 164.147 357.504 312.232 159.388 432.236 337.161 203.514 394.335 331.476 224.901 404.182 350.103 211.539 371.721 345.127 211.16 387.012 297.256 181.712 280.042 295.979 203.908 357.111 361.007 240.774 359.451 321.803 232.819 341.206 354.937 255.221 349.156 349.432 246.7 430.298 290.979 206.263 354.447 349.576 211.679 400.785 327.625 236.601 358.974 349.377 237.43 352.853 336.777 233.767 374.229 339.134 219.52 364.568 323.321 222.625 352.411 318.86 216.238 376.47 373.583 248.587 357.475 333.03 221.376 299.497 408.556 242.453 361.805 414.646 246.539 343.188 291.514 189.351 335.597 348.857 185.956 330.985 349.368 213.175 336.723 375.765 228.732 348.076 364.136 212.93 317.518 349.53 218.254 345.737 348.167 227.103 342.568 332.856 219.026 352.951 360.551 264.529 400.269 346.969 262.057 428.121 392.815 258.779 475.804 372.02 231.928 392.732 371.027 211.167 388.22 342.672 205.439 410.643 367.343 224.883 428.044 390.786 228.624 530.799 343.785 209.435 463.074 362.6 215.607 477.686 349.468 287.356 440.586 340.624 306.015 424.757 369.536 338.546 511.061 407.782 344.16 511.421 392.239 328.412 454.39 404.824 342.006 498.403 373.669 277.668 516.143 344.902 290.477 463.642 396.7 314.967 498.391 398.911 324.627 533.752 366.009 290.646 404.341 392.484 315.033 435.645
 
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 time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24


Summary of Dendrogram
LabelHeight
16.13538271014939
29.49763818009512
310.2059113262853
412.1899872436357
513.2493320963737
613.5224925217210
713.5566581427725
813.7830635201322
913.8341888230977
1014.5389196985195
1115.3356033790653
1215.7048765356497
1315.8225334886673
1416.8312018584533
1519.7945474122082
1620.0094024148649
1720.5738230351642
1821.1161553490542
1921.2688343357129
2021.8265535851869
2122.8172347788697
2223.0311243972152
2323.7100850483502
2423.8294158557917
2524.6091111785858
2626.9901581507038
2728.5314065573492
2830.6348964743424
2932.4131180464229
3032.6081760088272
3136.7233500922777
3237.5035446468541
3337.9727391312871
3439.6113045048694
3541.9039855162957
3644.02234581854
3745.0215999649748
3847.2108516035918
3948.4829718354806
4049.2906856724376
4155.3867144888491
4259.3655155419334
4361.6562059012807
4467.1946427137136
4573.5525397561103
4686.0707097948023
4795.014954801683
4899.6750063544576
49102.252346037352
50152.391031084426
51170.763059043902
52175.577924908569
53177.886939374026
54242.135920550559
55288.3507607762
56303.31704722137
57468.822506812583
58475.523454997101
591946.06757909307
 
Charts produced by software:
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Nov/09/t1226254682zusjzw0okcdddzm/12x0n1226254643.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Nov/09/t1226254682zusjzw0okcdddzm/12x0n1226254643.ps (open in new window)


http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Nov/09/t1226254682zusjzw0okcdddzm/2g7gb1226254643.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Nov/09/t1226254682zusjzw0okcdddzm/2g7gb1226254643.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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