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clustering huwelijken en werkloosheid

R Software Module: rwasp_hierarchicalclustering.wasp (opens new window with default values)
Title produced by software: Hierarchical Clustering
Date of computation: Fri, 02 Nov 2007 04:29:58 -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/02/donepanb77d9zyg1194002991.htm/, Retrieved Fri, 02 Nov 2007 12:29:53 +0100
 
User-defined keywords:
 
Dataseries X:
» Textbox « » Textfile « » CSV «
1178 476049 2141 474605 2238 470439 2685 461251 4341 454724 5376 455626 4478 516847 6404 525192 4617 522975 3024 518585 1897 509239 2075 512238 1351 519164 2211 517009 2453 509933 3042 509127 4765 500857 4992 506971 4601 569323 6266 579714 4812 577992 3159 565464 1916 547344 2237 554788 1595 562325 2453 560854 2226 555332 3597 543599 4706 536662 4974 542722 5756 593530 5493 610763 5004 612613 3225 611324 2006 594167 2291 595454 1588 590865 2105 589379 2191 584428 3591 573100 4668 567456 4885 569028 5822 620735 5599 628884 5340 628232 3082 612117 2010 595404 2301 597141 1514 593408 1979 590072 2480 579799 3499 574205 4676 572775 5585 572942 5610 619567 5796 625809 6199 619916 3030 587625 1930 565742 2552 557274
 
Text written by user:
voorbeeld voor het college
 
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
1285.413734778129
2409.48870558295
3544.111201869618
4684.632748267274
5701.558978276239
6704.361412912434
7805.79029530021
8889.253619615911
9904.513681488567
10924.213178871628
111108.82325011699
121136.07659638545
131164.24771577591
141260.04960219826
151372.89074583522
161403.56111010667
171632.56179056108
181702.94010464256
191735.65693614839
201770.35872071171
211913.53625520919
222138.95168112687
232166.90946398439
242203.68649551127
252253.75242651006
262695.24447767016
272801.99607036995
282847.53542559175
293237.99609844625
303282.03807698377
313305.25793244642
323464.03992961816
333740.16183363429
343792.61214999077
353903.29660749628
365502.87475745033
375849.52841813338
385887.15577343343
396005.71002703392
406778.54603369754
417276.6486911833
428188.60439805542
4310185.7484342071
4412774.2526490891
4512941.6330671929
4614151.7906470071
4719734.3064986594
4820733.2325964444
4923207.0278178272
5023792.2646534425
5141381.4600513075
5245234.0582242404
5348324.0153237591
5466939.7350699346
55127096.621079617
56221486.020039884
57317520.906201162
58553224.596349531
591483673.71340306
 
Charts produced by software:
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2007/Nov/02/donepanb77d9zyg1194002991/16lne1194002995.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2007/Nov/02/donepanb77d9zyg1194002991/16lne1194002995.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')
}
 





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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