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R Software Module: rwasp_hierarchicalclustering.wasp (opens new window with default values)
Title produced by software: Hierarchical Clustering
Date of computation: Wed, 16 Jan 2008 06:07:11 -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/Jan/16/t1200489743bajs9lvauztr3z6.htm/, Retrieved Wed, 16 Jan 2008 14:22:25 +0100
 
User-defined keywords:
 
Dataseries X:
» Textbox « » Textfile « » CSV «
281 0.88 295 0.87 294 0.88 302 0.89 314 0.92 321 0.96 313 0.99 310 0.98 319 0.98 316 0.98 319 1.00 333 1.02 356 1.06 358 1.08 340 1.08 328 1.08 355 1.16 356 1.17 351 1.14 359 1.11 378 1.12 378 1.17 389. 1.17 407 1.23 413 1.26 404 1.26 406 1.23 402 1.20 383 1.20 392 1.21 398 1.23 400 1.22 405 1.22 420 1.25 439 1.30 441 1.34 424 1.31 423 1.30 434 1.32 429 1.29 421 1.27 430 1.22 424 1.20 437 1.23 456 1.23 469 1.20 476 1.18 510 1.19 549 1.21 554 1.19 557 1.20 610 1.23 675 1.28 596 1.27 633 1.27 632 1.28 596 1.27 585 1.26 627 1.29 629 1.32
 
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'George Udny Yule' @ 72.249.76.132


Summary of Dendrogram
LabelHeight
10
20.02
30.0499999999999998
40.110000000000000
50.11
61
71.00004999875006
81.00004999875006
91.000199980004
101.00044989879554
111.00079968025574
121.00244700608062
131.00244700608062
141.30002504057477
151.30002504057477
162.00002499984375
172.00022498734517
182.000399960008
192.66033330500541
202.99979530744742
212.99982515096672
223.00001666662037
233.00026665481587
243.00134969638661
253.33346666399751
265.00035998704093
275.49967274227335
285.63752785090332
296.43686491493582
306.50052787702003
316.6504866388235
327.00002857137026
337.50017374487265
347.66669194435158
358.3256973169075
369.66667321466186
3710.9999707474857
3811.0000514297425
3914.6666727272715
4016.3965128638217
4116.9167748051145
4217.0426040046246
4319.6667218863705
4421.3333221728372
4521.5198615981122
4622.8333979609194
4750.7206108995615
4854.4273224239328
4957.8333211380214
5069.499918103184
5191.460687775007
52110.571181186238
53126.690581559483
54198.669835433516
55236.642774938659
56272.187850846271
57574.654049587391
581331.26332721840
593278.54594038263
 
Charts produced by software:
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Jan/16/t1200489743bajs9lvauztr3z6/1eekj1200488830.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Jan/16/t1200489743bajs9lvauztr3z6/1eekj1200488830.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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Creative Commons License

This work is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 3.0 License.

Software written by Ed van Stee & Patrick Wessa


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