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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: Mon, 10 Nov 2008 04:40:44 -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/10/t1226317309vtdu64ttzh5nnqx.htm/, Retrieved Mon, 10 Nov 2008 11:41:52 +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/10/t1226317309vtdu64ttzh5nnqx.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 «
1.21 512238 99.29 1946.81 1.74 519164 98.69 1765.9 1.76 517009 107.92 1635.25 1.48 509933 101.03 1833.42 1.04 509127 97.55 1910.43 1.62 500857 103.02 1959.67 1.49 506971 94.08 1969.6 1.79 569323 94.12 2061.41 1.8 579714 115.08 2093.48 1.58 577992 116.48 2120.88 1.86 565464 103.42 2174.56 1.74 547344 112.51 2196.72 1.59 554788 95.55 2350.44 1.26 562325 97.53 2440.25 1.13 560854 119.26 2408.64 1.92 555332 100.94 2472.81 2.61 543599 97.73 2407.6 2.26 536662 115.25 2454.62 2.41 542722 92.8 2448.05 2.26 593530 99.2 2497.84 2.03 610763 118.69 2645.64 2.86 612613 110.12 2756.76 2.55 611324 110.26 2849.27 2.27 594167 112.9 2921.44 2.26 590865 102.17 3080.58 2.57 589379 99.38 3106.22 3.07 584428 116.1 3119.31 2.76 573100 103.77 3061.26 2.51 567456 101.81 3097.31 2.87 569028 113.74 3161.69 3.14 620735 89.67 3257.16 3.11 628884 99.5 3277.01 3.16 628232 122.89 3295.32 2.47 612117 108.61 3363.99 2.57 595404 114.37 3494.17 2.89 597141 110.5 3667.03 2.63 593408 104.08 3813.06 2.38 590072 103.64 3917.96 1.69 579799 121.61 3895.51 1.96 574205 101.14 3733.22 2.19 572775 115.97 3801.06 1.87 572942 120.12 3570.12 1.6 619567 95.97 3701.61 1.63 625809 105.01 3862.27 1.22 619916 124.68 3970.1 1.21 587625 123.89 4138.52 1.49 565742 123.61 4199.75 1.64 557274 114.76 4290.89 1.66 560576 108.75 4443.91 1.77 548854 106.09 4502.64 1.82 531673 123.17 4356.98 1.78 525919 106.16 4591.27 1.28 511038 115.18 4696.96 1.29 498662 120.6 4621.4 1.37 555362 109.48 4562.84 1.12 564591 114.44 4202.52 1.51 541657 121.44 4296.49 2.24 527070 129.48 4435.23 2.94 509846 124.32 4105.18 3.09 514258 112.59 4116.68
 
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'George Udny Yule' @ 72.249.76.132


Summary of Dendrogram
LabelHeight
1285.025627795116
2441.262154053574
3557.619563770856
4596.873112311151
5652.676298558481
6765.11022088324
7784.057845506312
8808.132541666279
9809.678234918044
10877.946209855706
111067.32797738090
121139.30996186288
131151.03992055011
141161.76310648944
151249.72071443983
161320.87531572817
171330.84704741003
181431.68510762667
191471.500051614
201486.22383569905
211722.21855999754
221745.58433164943
231853.35419933697
241931.25056732678
252135.14342949133
262158.97652043740
272207.91139985281
282532.70348953445
292659.65795620414
302709.21258047426
312756.33964955337
322964.61063907219
332965.13697744303
343130.20555524713
353153.71387876262
363355.54200805175
373450.09286225748
383795.58353129002
394412.03058300824
405193.89924655841
415339.39673461338
426437.13163714243
437146.01647077587
447199.96822997157
457537.53533095534
467596.75369526352
479326.67083696
4810443.3746492405
4912724.7945991595
5014537.8734836220
5115604.1669331785
5217181.6259290121
5318132.0059149395
5424366.3692505018
5528408.6114237532
5637719.9282280375
5756111.4496471959
5870707.3629209894
59130228.941165144
 
Charts produced by software:
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Nov/10/t1226317309vtdu64ttzh5nnqx/12kzb1226317242.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Nov/10/t1226317309vtdu64ttzh5nnqx/12kzb1226317242.ps (open in new window)


http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Nov/10/t1226317309vtdu64ttzh5nnqx/239v81226317242.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Nov/10/t1226317309vtdu64ttzh5nnqx/239v81226317242.ps (open in new window)


 
Parameters (Session):
par1 = complete ; par2 = ALL ; par3 = FALSE ; par4 = FALSE ;
 
Parameters (R input):
par1 = complete ; 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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