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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_hierarchicalclustering.wasp
Title produced by softwareHierarchical Clustering
Date of computationMon, 05 Nov 2007 02:59:05 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2007/Nov/05/m9ge91vssqq7ta91194256749.htm/, Retrieved Sun, 28 Apr 2024 21:48:50 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=497, Retrieved Sun, 28 Apr 2024 21:48:50 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsRuck, Geil, Verbaachdt, Verhaahdt, Verheilen, Pumà, EDA
Estimated Impact209

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Hierarchical Clustering] [Hierarchical_Clus...] [2007-11-05 09:59:05] [0ea70c1b491052c6d2a865ea09f80161] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
513	140	373
503	132	371
471	117	354
471	114	357
476	113	363
475	110	364
470	107	363
461	103	358
455	98	357
456	98	357
517	137	380
525	148	378
523	147	376
519	139	380
509	130	379
512	128	384
519	127	392
517	123	394
510	118	392
509	114	396
501	108	392
507	111	396
569	151	419
580	159	421
578	158	420
565	148	418
547	138	410
555	137	418
562	136	426
561	133	428
555	126	430
544	120	424
537	114	423
543	116	427
594	153	441
611	162	449
613	161	452
611	149	462
594	139	455
595	135	461
591	130	461
589	127	463
584	122	462
573	117	456
567	112	455
569	113	456
621	149	472
629	157	472
628	157	471
612	147	465
595	137	459
597	132	465
593	125	468
590	123	467
580	117	463
574	114	460
573	111	462
573	112	461
620	144	476
626	150	476
620	149	471
588	134	453
566	123	443
557	116	442
561	117	444
549	111	438
532	105	427
526	102	424
511	95	416
499	93	406
555	124	431
565	130	434
542	124	418

Tables (Output of Computation)





Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of compuational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=497&T=0

[TABLE]
[ROW][C]Summary of compuational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=497&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=497&T=0

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Summary of Dendrogram
LabelHeight
11
21.41421356237310
31.41421356237310
41.41421356237310
52.23606797749979
62.44948974278318
72.44948974278318
82.82842712474619
92.82842712474619
103
113.3166247903554
123.60555127546399
133.65602689891371
143.74165738677394
153.74165738677394
163.74165738677394
173.74165738677394
184.12310562561766
194.24264068711928
204.58257569495584
214.89897948556636
225.09901951359278
235.09901951359278
246.16441400296898
256.48074069840786
266.96564801457551
277.34846922834953
288.20407816807507
298.36274151723244
308.48528137423857
318.49536584144033
329.00353107304067
339.47161567483146
349.67695753503644
3510.0436084811547
3610.9198183276202
3710.9744868001102
3811.352162112529
3911.3578166916005
4011.7688290727508
4112.2642459334231
4212.3828431695042
4313.0250284704506
4414.7017043493017
4515.6168923040008
4615.7480157480236
4718.1412023464469
4819.1887274389745
4921.5136604490006
5022.5622970998128
5124.4873530190255
5225.3853212333016
5326.5044481470131
5428.2189872358057
5533.3987384432729
5636.5424602768386
5739.5824941977336
5839.8804146839637
5940.4632015846619
6041.9742545325414
6157.8361335570141
6264.9586743937098
6370.4703066696427
6487.5786186610769
65111.997303922277
66137.743542236795
67162.807320159176
68174.187282661889
69386.419423258650
70434.84579384952
71761.796991990551
722213.23652102945

\begin{tabular}{lllllllll}
\hline
Summary of Dendrogram \tabularnewline
Label & Height \tabularnewline
1 & 1 \tabularnewline
2 & 1.41421356237310 \tabularnewline
3 & 1.41421356237310 \tabularnewline
4 & 1.41421356237310 \tabularnewline
5 & 2.23606797749979 \tabularnewline
6 & 2.44948974278318 \tabularnewline
7 & 2.44948974278318 \tabularnewline
8 & 2.82842712474619 \tabularnewline
9 & 2.82842712474619 \tabularnewline
10 & 3 \tabularnewline
11 & 3.3166247903554 \tabularnewline
12 & 3.60555127546399 \tabularnewline
13 & 3.65602689891371 \tabularnewline
14 & 3.74165738677394 \tabularnewline
15 & 3.74165738677394 \tabularnewline
16 & 3.74165738677394 \tabularnewline
17 & 3.74165738677394 \tabularnewline
18 & 4.12310562561766 \tabularnewline
19 & 4.24264068711928 \tabularnewline
20 & 4.58257569495584 \tabularnewline
21 & 4.89897948556636 \tabularnewline
22 & 5.09901951359278 \tabularnewline
23 & 5.09901951359278 \tabularnewline
24 & 6.16441400296898 \tabularnewline
25 & 6.48074069840786 \tabularnewline
26 & 6.96564801457551 \tabularnewline
27 & 7.34846922834953 \tabularnewline
28 & 8.20407816807507 \tabularnewline
29 & 8.36274151723244 \tabularnewline
30 & 8.48528137423857 \tabularnewline
31 & 8.49536584144033 \tabularnewline
32 & 9.00353107304067 \tabularnewline
33 & 9.47161567483146 \tabularnewline
34 & 9.67695753503644 \tabularnewline
35 & 10.0436084811547 \tabularnewline
36 & 10.9198183276202 \tabularnewline
37 & 10.9744868001102 \tabularnewline
38 & 11.352162112529 \tabularnewline
39 & 11.3578166916005 \tabularnewline
40 & 11.7688290727508 \tabularnewline
41 & 12.2642459334231 \tabularnewline
42 & 12.3828431695042 \tabularnewline
43 & 13.0250284704506 \tabularnewline
44 & 14.7017043493017 \tabularnewline
45 & 15.6168923040008 \tabularnewline
46 & 15.7480157480236 \tabularnewline
47 & 18.1412023464469 \tabularnewline
48 & 19.1887274389745 \tabularnewline
49 & 21.5136604490006 \tabularnewline
50 & 22.5622970998128 \tabularnewline
51 & 24.4873530190255 \tabularnewline
52 & 25.3853212333016 \tabularnewline
53 & 26.5044481470131 \tabularnewline
54 & 28.2189872358057 \tabularnewline
55 & 33.3987384432729 \tabularnewline
56 & 36.5424602768386 \tabularnewline
57 & 39.5824941977336 \tabularnewline
58 & 39.8804146839637 \tabularnewline
59 & 40.4632015846619 \tabularnewline
60 & 41.9742545325414 \tabularnewline
61 & 57.8361335570141 \tabularnewline
62 & 64.9586743937098 \tabularnewline
63 & 70.4703066696427 \tabularnewline
64 & 87.5786186610769 \tabularnewline
65 & 111.997303922277 \tabularnewline
66 & 137.743542236795 \tabularnewline
67 & 162.807320159176 \tabularnewline
68 & 174.187282661889 \tabularnewline
69 & 386.419423258650 \tabularnewline
70 & 434.84579384952 \tabularnewline
71 & 761.796991990551 \tabularnewline
72 & 2213.23652102945 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=497&T=1

[TABLE]
[ROW][C]Summary of Dendrogram[/C][/ROW]
[ROW][C]Label[/C][C]Height[/C][/ROW]
[ROW][C]1[/C][C]1[/C][/ROW]
[ROW][C]2[/C][C]1.41421356237310[/C][/ROW]
[ROW][C]3[/C][C]1.41421356237310[/C][/ROW]
[ROW][C]4[/C][C]1.41421356237310[/C][/ROW]
[ROW][C]5[/C][C]2.23606797749979[/C][/ROW]
[ROW][C]6[/C][C]2.44948974278318[/C][/ROW]
[ROW][C]7[/C][C]2.44948974278318[/C][/ROW]
[ROW][C]8[/C][C]2.82842712474619[/C][/ROW]
[ROW][C]9[/C][C]2.82842712474619[/C][/ROW]
[ROW][C]10[/C][C]3[/C][/ROW]
[ROW][C]11[/C][C]3.3166247903554[/C][/ROW]
[ROW][C]12[/C][C]3.60555127546399[/C][/ROW]
[ROW][C]13[/C][C]3.65602689891371[/C][/ROW]
[ROW][C]14[/C][C]3.74165738677394[/C][/ROW]
[ROW][C]15[/C][C]3.74165738677394[/C][/ROW]
[ROW][C]16[/C][C]3.74165738677394[/C][/ROW]
[ROW][C]17[/C][C]3.74165738677394[/C][/ROW]
[ROW][C]18[/C][C]4.12310562561766[/C][/ROW]
[ROW][C]19[/C][C]4.24264068711928[/C][/ROW]
[ROW][C]20[/C][C]4.58257569495584[/C][/ROW]
[ROW][C]21[/C][C]4.89897948556636[/C][/ROW]
[ROW][C]22[/C][C]5.09901951359278[/C][/ROW]
[ROW][C]23[/C][C]5.09901951359278[/C][/ROW]
[ROW][C]24[/C][C]6.16441400296898[/C][/ROW]
[ROW][C]25[/C][C]6.48074069840786[/C][/ROW]
[ROW][C]26[/C][C]6.96564801457551[/C][/ROW]
[ROW][C]27[/C][C]7.34846922834953[/C][/ROW]
[ROW][C]28[/C][C]8.20407816807507[/C][/ROW]
[ROW][C]29[/C][C]8.36274151723244[/C][/ROW]
[ROW][C]30[/C][C]8.48528137423857[/C][/ROW]
[ROW][C]31[/C][C]8.49536584144033[/C][/ROW]
[ROW][C]32[/C][C]9.00353107304067[/C][/ROW]
[ROW][C]33[/C][C]9.47161567483146[/C][/ROW]
[ROW][C]34[/C][C]9.67695753503644[/C][/ROW]
[ROW][C]35[/C][C]10.0436084811547[/C][/ROW]
[ROW][C]36[/C][C]10.9198183276202[/C][/ROW]
[ROW][C]37[/C][C]10.9744868001102[/C][/ROW]
[ROW][C]38[/C][C]11.352162112529[/C][/ROW]
[ROW][C]39[/C][C]11.3578166916005[/C][/ROW]
[ROW][C]40[/C][C]11.7688290727508[/C][/ROW]
[ROW][C]41[/C][C]12.2642459334231[/C][/ROW]
[ROW][C]42[/C][C]12.3828431695042[/C][/ROW]
[ROW][C]43[/C][C]13.0250284704506[/C][/ROW]
[ROW][C]44[/C][C]14.7017043493017[/C][/ROW]
[ROW][C]45[/C][C]15.6168923040008[/C][/ROW]
[ROW][C]46[/C][C]15.7480157480236[/C][/ROW]
[ROW][C]47[/C][C]18.1412023464469[/C][/ROW]
[ROW][C]48[/C][C]19.1887274389745[/C][/ROW]
[ROW][C]49[/C][C]21.5136604490006[/C][/ROW]
[ROW][C]50[/C][C]22.5622970998128[/C][/ROW]
[ROW][C]51[/C][C]24.4873530190255[/C][/ROW]
[ROW][C]52[/C][C]25.3853212333016[/C][/ROW]
[ROW][C]53[/C][C]26.5044481470131[/C][/ROW]
[ROW][C]54[/C][C]28.2189872358057[/C][/ROW]
[ROW][C]55[/C][C]33.3987384432729[/C][/ROW]
[ROW][C]56[/C][C]36.5424602768386[/C][/ROW]
[ROW][C]57[/C][C]39.5824941977336[/C][/ROW]
[ROW][C]58[/C][C]39.8804146839637[/C][/ROW]
[ROW][C]59[/C][C]40.4632015846619[/C][/ROW]
[ROW][C]60[/C][C]41.9742545325414[/C][/ROW]
[ROW][C]61[/C][C]57.8361335570141[/C][/ROW]
[ROW][C]62[/C][C]64.9586743937098[/C][/ROW]
[ROW][C]63[/C][C]70.4703066696427[/C][/ROW]
[ROW][C]64[/C][C]87.5786186610769[/C][/ROW]
[ROW][C]65[/C][C]111.997303922277[/C][/ROW]
[ROW][C]66[/C][C]137.743542236795[/C][/ROW]
[ROW][C]67[/C][C]162.807320159176[/C][/ROW]
[ROW][C]68[/C][C]174.187282661889[/C][/ROW]
[ROW][C]69[/C][C]386.419423258650[/C][/ROW]
[ROW][C]70[/C][C]434.84579384952[/C][/ROW]
[ROW][C]71[/C][C]761.796991990551[/C][/ROW]
[ROW][C]72[/C][C]2213.23652102945[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=497&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=497&T=1

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Summary of Dendrogram
LabelHeight
11
21.41421356237310
31.41421356237310
41.41421356237310
52.23606797749979
62.44948974278318
72.44948974278318
82.82842712474619
92.82842712474619
103
113.3166247903554
123.60555127546399
133.65602689891371
143.74165738677394
153.74165738677394
163.74165738677394
173.74165738677394
184.12310562561766
194.24264068711928
204.58257569495584
214.89897948556636
225.09901951359278
235.09901951359278
246.16441400296898
256.48074069840786
266.96564801457551
277.34846922834953
288.20407816807507
298.36274151723244
308.48528137423857
318.49536584144033
329.00353107304067
339.47161567483146
349.67695753503644
3510.0436084811547
3610.9198183276202
3710.9744868001102
3811.352162112529
3911.3578166916005
4011.7688290727508
4112.2642459334231
4212.3828431695042
4313.0250284704506
4414.7017043493017
4515.6168923040008
4615.7480157480236
4718.1412023464469
4819.1887274389745
4921.5136604490006
5022.5622970998128
5124.4873530190255
5225.3853212333016
5326.5044481470131
5428.2189872358057
5533.3987384432729
5636.5424602768386
5739.5824941977336
5839.8804146839637
5940.4632015846619
6041.9742545325414
6157.8361335570141
6264.9586743937098
6370.4703066696427
6487.5786186610769
65111.997303922277
66137.743542236795
67162.807320159176
68174.187282661889
69386.419423258650
70434.84579384952
71761.796991990551
722213.23652102945


Figures (Output of Computation)

Input Parameters & R Code

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')
}