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cluster van alle reeksen

R Software Module: rwasp_hierarchicalclustering.wasp (opens new window with default values)
Title produced by software: Hierarchical Clustering
Date of computation: Mon, 17 Dec 2007 03:37:19 -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/Dec/17/t1197887027ro59nvlt9xad3c7.htm/, Retrieved Mon, 17 Dec 2007 11:23:47 +0100
 
User-defined keywords:
 
Dataseries X:
» Textbox « » Textfile « » CSV «
51978 88900 37702 124,9 50330 87280 30364 132 48538 85519 32609 151,4 46636 83647 30212 108,9 44574 81616 29965 121,3 43028 80100 28352 123,4 56924 94027 25814 90,3 65193 102327 22414 79,3 67132 104296 20506 117,2 64398 101593 28806 116,9 57591 94816 22228 120,8 56279 93535 13971 96,1 56331 93618 36845 100,8 55015 92330 35338 105,3 53405 90751 35022 116,1 51200 88576 34777 112,8 48695 86102 26887 114,5 48057 85494 23970 117,2 65964 103432 22780 77,1 71371 108870 17351 80,1 72184 109713 21382 120,3 69400 106960 24561 133,4 65605 103195 17409 109,4 64727 102348 11514 93,2 64506 102158 31514 91,2 62751 100431 27071 99,2 59938 97649 29462 108,2 57870 95611 26105 101,5 55263 93035 22397 106,9 55777 93579 23843 104,4 73944 111777 21705 77,9 78201 116065 18089 60 78715 116609 20764 99,5 75009 112934 25316 95 69705 107660 17704 105,6 69979 107965 15548 102,5 69755 107772 28029 93,3 68155 106201 29383 97,3 64211 102288 36438 127 61110 99217 32034 111,7 58373 96511 22679 96,4 58288 96456 24319 133 74822 113021 18004 72,2 79606 117836 17537 95,8 80232 118492 20366 124,1 75631 113922 22782 127,6 70996 109317 19169 110,7 69144 107496 13807 104,6 67141 105524 29743 112,7 65413 103824 25591 115,3 63391 101833 29096 139,4 60964 99436 26482 119 58412 96915 22405 97,4 57539 96072 27044 154 73377 111941 17970 81,5 77413 116008 18730 88,8 78932 117557 19684 127,7 74789 113445 19785 105,1 70076 108762 18479 114,9 67944 106661 10698 106,4 64076 102824 31956 104,5 63136 101912 29506 121,6 60198 99005 34506 141,4 59057 97894 27165 99 57388 96256 26736 126,7 56708 95606 23691 134,1 70019 108948 18157 81,3 72263 111223 17328 88,6 74152 113142 18205 132,7 67057 106078 20995 132,9 61941 100992 17382 134,4 58331 97413 9367 103,7
 
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 time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001


Summary of Dendrogram
LabelHeight
1377.700886946271
2390.213134069062
3489.574141473996
4489.708076306691
5712.462104255377
6907.742744394027
71017.79341715301
81271.36232443784
91284.41959520127
101396.21876509378
111453.61213533735
121472.66235437727
131538.99118423168
141628.20583772446
151695.08041671372
161849.46383852186
171882.64040379463
181987.02576983793
192085.13496056577
202128.54575708393
212137.11233034111
222147.94212030402
232247.44431231316
242277.12837582777
252309.60782067277
262472.34294546691
272643.5495247867
282700.0269276435
292731.99977306002
302790.20550497629
312976.18178002450
323044.01567177306
333047.22895267159
343168.67023347073
353275.09313693055
363369.38961237789
373579.66492985028
383808.28646172181
393816.48913715493
404275.4483975368
414456.42461588923
424630.2768119749
434886.19271678131
445240.61522765135
455336.50135553224
465513.48744439589
476244.50076378228
486359.75327823336
496392.36948724856
506656.13457569718
516941.02182434739
527012.09616449941
537515.83100542274
548200.59887240791
559512.82729860415
5610906.8237233396
5712736.2281429191
5812772.8081249439
5912934.3236195214
6013352.0001280653
6116806.3382116651
6218101.6314345557
6330828.05902107
6432549.2088911025
6533381.6000160049
6645157.085833294
6745648.5021435523
6878524.5442908288
69110811.067975235
70153807.199288475
71469118.331558065
 
Charts produced by software:
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2007/Dec/17/t1197887027ro59nvlt9xad3c7/1asee1197887834.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2007/Dec/17/t1197887027ro59nvlt9xad3c7/1asee1197887834.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')
}
 





Copyright

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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