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Various EDA topics Q2

*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: Tue, 11 Nov 2008 09:30:30 -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/11/t1226421072j2excvouax728gj.htm/, Retrieved Tue, 11 Nov 2008 16:31:14 +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/11/t1226421072j2excvouax728gj.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 «
9097.4 2606.3 8638.7 3219.2 12639.8 3643.8 11063.7 3552.3 13040.1 3686.4 11855.7 3787.7 11687.3 3281.6 10684.5 3392.7 11191.7 3669.3 11337.4 3550 11391.9 3191.5 10478 3681.9 11793.1 3512.7 11123.9 3519.1 13933.2 3970.7 12909.3 4283.2 12778.1 3601.2 11339.9 4046.2 11810.3 3610 10462.2 3824.9 13698.4 4172.1 12733.5 4793.1 11956.6 3956.2 10519.2 3977.7 10723.8 3142.7 10414.9 3983.4 13938.9 3884.3 12476.8 4152.9 13979.8 3892.2 12384.6 4286.1 13807.4 3613 12266.7 4348.1 12973.9 3730.5 12919.9 3949.3 12509.8 3481.3 11497.3 4166.7 12934.1 3649.5 12142 4217.9 14908.3 4215.2 13919.4 4528.2 13772.1 4066.6 12656.8 4232.2 13012.6 4196.8 12034.1 4470.9 14049.9 4536.6 13199.7 5121.2 11816.5 4441.6 10881.3 4170.8 11593.2 3548.3 11301.2 4398.6 14466.2 4735.9 13643.9 4491.4 13615.9 4130.6 12517 4251.8 14733.9 4356.2 13981.1 4901.9 13880.7 4159.6 14275.7 4745.2 13527.5 3988 13435 4666.9 13584 4167.8 13565.7 4210.4 16170.2 4902.2 16216.3 5273.6 13260.6 3909.4 12970 4095.3 14741.9 4697.6 14079.9 4610.1 15486.5 4308.9 14235 4718.1 13154.5 4420.4 12213.4 4185.5 12621.2 3544.2 12581 4314.7 15031.6 4433 14130.4 4422.6 15452.4 4479.7 14210.8 5059.2 15428 4533.2 14378.5 5043.6 13105.9 4237.5 13142.8 4436.6 14716.8 4207.4 13714.7 4922.6 14180 4394 13621.9 4454.8 16202.2 5148.4 15379.8 5058.7 14392.4 4202.2 13306.3 4768.9 15140.6 4682.5 14391.2 5171.8 15960.1 4884.3 14909.9 4989.3 14351.3 5288.9 14025.4 5202.1 13230.2 4505.2 12951.2 4838.4 15202.1 4611.5 14344.3 4876.5 17157.3 5081.1 16213.3 5845.3 16159.1 4523.1 15544.5 5686.3 13405.7 4412.8 14750.6 4753.8 17224.7 4647.4 17292.7 6620.4 17338.4 4778.6 17568.5 5597.2 17370.6 4495.3 17930.8 5643.5 18817.8 4633.5 18644.7 6357.3 16593.2 4360.5 16694.8 5909.1 17979.5 4517.9 17242.8 6165.8 17015.2 5379.9 16979.9 6321.6
 
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 time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135


Summary of Dendrogram
LabelHeight
1167.267151586915
2178.393553695194
3220.051448529657
4306.318951421553
5313.408599116234
6343.965245337374
7354.479773753031
8371.521345281803
9409.701073955146
10428.642298426088
11447.916967751837
12457.742496802271
13463.358079674888
14470.566754273576
15470.80575612454
16492.530448668675
17510.876726813818
18528.807469690056
19534.104465437239
20537.974996386875
21593.791228686057
22594.96520066303
23603.828170922822
24657.831726203594
25717.871304622214
26718.150433420653
27791.407799608331
28830.043671077704
29862.060273079332
30874.915167316237
31876.111739448798
32940.887055501704
33959.634974472978
341007.75380470406
351021.71298838675
361025.47499793952
371036.04336781816
381114.69908662335
391185.65134083145
401289.49920164226
411356.64303612030
421410.00611387433
431415.72091276066
441507.03115613673
451598.64985422445
461906.27397959572
472030.09610239109
482246.91654023044
492407.74753126467
502671.10174205544
513046.10399788081
523123.29177953406
534403.61323051384
545512.86787646683
556876.18713235093
568030.16344700988
5722975.0320203662
5834128.9252148624
5975914.9324558848
 
Charts produced by software:
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Nov/11/t1226421072j2excvouax728gj/1hrk91226421028.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Nov/11/t1226421072j2excvouax728gj/1hrk91226421028.ps (open in new window)


http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Nov/11/t1226421072j2excvouax728gj/2saqg1226421028.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Nov/11/t1226421072j2excvouax728gj/2saqg1226421028.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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