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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_hierarchicalclustering.wasp
Title produced by softwareHierarchical Clustering
Date of computationMon, 15 Dec 2008 04:20:36 -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/2008/Dec/15/t1229340119tvomos71b1m1vs8.htm/, Retrieved Thu, 16 May 2024 02:17:33 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=33671, Retrieved Thu, 16 May 2024 02:17:33 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact201

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Bivariate Kernel Density Estimation] [Bivariate Kernel ...] [2008-11-11 14:08:00] [adb6b6905cde49db36d59ca44433140d]
F RMPD  [Hierarchical Clustering] [Hierarchical Clus...] [2008-11-11 23:34:50] [b591abfa820a394aeb0c5ebd9cfa1091]
-    D      [Hierarchical Clustering] [Hierarchical Clus...] [2008-12-15 11:20:36] [d592f629d96b926609f311957d74fcca] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
2120.88	9682.35	29.08
2174.56	9762.12	28.76
2196.72	10124.63	29.59
2350.44	10540.05	30.70
2440.25	10601.61	30.52
2408.64	10323.73	32.67
2472.81	10418.40	33.19
2407.60	10092.96	37.13
2454.62	10364.91	35.54
2448.05	10152.09	37.75
2497.84	10032.80	41.84
2645.64	10204.59	42.94
2756.76	10001.60	49.14
2849.27	10411.75	44.61
2921.44	10673.38	40.22
2981.85	10539.51	44.23
3080.58	10723.78	45.85
3106.22	10682.06	53.38
3119.31	10283.19	53.26
3061.26	10377.18	51.80
3097.31	10486.64	55.30
3161.69	10545.38	57.81
3257.16	10554.27	63.96
3277.01	10532.54	63.77
3295.32	10324.31	59.15
3363.99	10695.25	56.12
3494.17	10827.81	57.42
3667.03	10872.48	63.52
3813.06	10971.19	61.71
3917.96	11145.65	63.01
3895.51	11234.68	68.18
3801.06	11333.88	72.03
3570.12	10997.97	69.75
3701.61	11036.89	74.41
3862.27	11257.35	74.33
3970.10	11533.59	64.24
4138.52	11963.12	60.03
4199.75	12185.15	59.44
4290.89	12377.62	62.50
4443.91	12512.89	55.04
4502.64	12631.48	58.34
4356.98	12268.53	61.92
4591.27	12754.80	67.65
4696.96	13407.75	67.68
4621.40	13480.21	70.30
4562.84	13673.28	75.26
4202.52	13239.71	71.44
4296.49	13557.69	76.36
4435.23	13901.28	81.71
4105.18	13200.58	92.60
4116.68	13406.97	90.60
3844.49	12538.12	92.23
3720.98	12419.57	94.09
3674.40	12193.88	102.79
3857.62	12656.63	109.65
3801.06	12812.48	124.05
3504.37	12056.67	132.69
3032.60	11322.38	135.81
3047.03	11530.75	116.07
2962.34	11114.08	101.42

Tables (Output of Computation)





Summary of computational 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 computational 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=33671&T=0

[TABLE]
[ROW][C]Summary of computational 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=33671&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=33671&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 computational 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
129.4321507878713
240.701953270083
349.5446152472707
456.547136974386
571.6445657394903
687.1864215345485
796.1503910548473
898.5918719237757
9104.721676839134
10107.023259621448
11108.882974334834
12110.481012848362
13120.500926967387
14127.549412385945
15129.995701852022
16131.291050710351
17132.377078831647
18134.708989413518
19146.923875187118
20158.676088620813
21185.407242063833
22185.797405794591
23209.799784079966
24218.128842881728
25218.855835483981
26220.523910268251
27227.546819680306
28228.122067623844
29231.497374715136
30243.782913298630
31246.334052108448
32254.730112581503
33256.679972858433
34261.361654800394
35329.763785016267
36339.103976603738
37353.502886964272
38362.030747675153
39393.97368838804
40414.573526650052
41431.721814997212
42437.30479462004
43469.55655432689
44560.401764602405
45603.429123287684
46618.783100628122
47808.909084629662
481040.04482003274
491201.48586749047
501204.88180138086
511316.75254541482
521621.33359797309
531739.58664922588
542576.13896143818
552620.11850888589
566291.83355832964
577229.9208078198
5812361.8215545781
5946096.3952523531

\begin{tabular}{lllllllll}
\hline
Summary of Dendrogram \tabularnewline
Label & Height \tabularnewline
1 & 29.4321507878713 \tabularnewline
2 & 40.701953270083 \tabularnewline
3 & 49.5446152472707 \tabularnewline
4 & 56.547136974386 \tabularnewline
5 & 71.6445657394903 \tabularnewline
6 & 87.1864215345485 \tabularnewline
7 & 96.1503910548473 \tabularnewline
8 & 98.5918719237757 \tabularnewline
9 & 104.721676839134 \tabularnewline
10 & 107.023259621448 \tabularnewline
11 & 108.882974334834 \tabularnewline
12 & 110.481012848362 \tabularnewline
13 & 120.500926967387 \tabularnewline
14 & 127.549412385945 \tabularnewline
15 & 129.995701852022 \tabularnewline
16 & 131.291050710351 \tabularnewline
17 & 132.377078831647 \tabularnewline
18 & 134.708989413518 \tabularnewline
19 & 146.923875187118 \tabularnewline
20 & 158.676088620813 \tabularnewline
21 & 185.407242063833 \tabularnewline
22 & 185.797405794591 \tabularnewline
23 & 209.799784079966 \tabularnewline
24 & 218.128842881728 \tabularnewline
25 & 218.855835483981 \tabularnewline
26 & 220.523910268251 \tabularnewline
27 & 227.546819680306 \tabularnewline
28 & 228.122067623844 \tabularnewline
29 & 231.497374715136 \tabularnewline
30 & 243.782913298630 \tabularnewline
31 & 246.334052108448 \tabularnewline
32 & 254.730112581503 \tabularnewline
33 & 256.679972858433 \tabularnewline
34 & 261.361654800394 \tabularnewline
35 & 329.763785016267 \tabularnewline
36 & 339.103976603738 \tabularnewline
37 & 353.502886964272 \tabularnewline
38 & 362.030747675153 \tabularnewline
39 & 393.97368838804 \tabularnewline
40 & 414.573526650052 \tabularnewline
41 & 431.721814997212 \tabularnewline
42 & 437.30479462004 \tabularnewline
43 & 469.55655432689 \tabularnewline
44 & 560.401764602405 \tabularnewline
45 & 603.429123287684 \tabularnewline
46 & 618.783100628122 \tabularnewline
47 & 808.909084629662 \tabularnewline
48 & 1040.04482003274 \tabularnewline
49 & 1201.48586749047 \tabularnewline
50 & 1204.88180138086 \tabularnewline
51 & 1316.75254541482 \tabularnewline
52 & 1621.33359797309 \tabularnewline
53 & 1739.58664922588 \tabularnewline
54 & 2576.13896143818 \tabularnewline
55 & 2620.11850888589 \tabularnewline
56 & 6291.83355832964 \tabularnewline
57 & 7229.9208078198 \tabularnewline
58 & 12361.8215545781 \tabularnewline
59 & 46096.3952523531 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=33671&T=1

[TABLE]
[ROW][C]Summary of Dendrogram[/C][/ROW]
[ROW][C]Label[/C][C]Height[/C][/ROW]
[ROW][C]1[/C][C]29.4321507878713[/C][/ROW]
[ROW][C]2[/C][C]40.701953270083[/C][/ROW]
[ROW][C]3[/C][C]49.5446152472707[/C][/ROW]
[ROW][C]4[/C][C]56.547136974386[/C][/ROW]
[ROW][C]5[/C][C]71.6445657394903[/C][/ROW]
[ROW][C]6[/C][C]87.1864215345485[/C][/ROW]
[ROW][C]7[/C][C]96.1503910548473[/C][/ROW]
[ROW][C]8[/C][C]98.5918719237757[/C][/ROW]
[ROW][C]9[/C][C]104.721676839134[/C][/ROW]
[ROW][C]10[/C][C]107.023259621448[/C][/ROW]
[ROW][C]11[/C][C]108.882974334834[/C][/ROW]
[ROW][C]12[/C][C]110.481012848362[/C][/ROW]
[ROW][C]13[/C][C]120.500926967387[/C][/ROW]
[ROW][C]14[/C][C]127.549412385945[/C][/ROW]
[ROW][C]15[/C][C]129.995701852022[/C][/ROW]
[ROW][C]16[/C][C]131.291050710351[/C][/ROW]
[ROW][C]17[/C][C]132.377078831647[/C][/ROW]
[ROW][C]18[/C][C]134.708989413518[/C][/ROW]
[ROW][C]19[/C][C]146.923875187118[/C][/ROW]
[ROW][C]20[/C][C]158.676088620813[/C][/ROW]
[ROW][C]21[/C][C]185.407242063833[/C][/ROW]
[ROW][C]22[/C][C]185.797405794591[/C][/ROW]
[ROW][C]23[/C][C]209.799784079966[/C][/ROW]
[ROW][C]24[/C][C]218.128842881728[/C][/ROW]
[ROW][C]25[/C][C]218.855835483981[/C][/ROW]
[ROW][C]26[/C][C]220.523910268251[/C][/ROW]
[ROW][C]27[/C][C]227.546819680306[/C][/ROW]
[ROW][C]28[/C][C]228.122067623844[/C][/ROW]
[ROW][C]29[/C][C]231.497374715136[/C][/ROW]
[ROW][C]30[/C][C]243.782913298630[/C][/ROW]
[ROW][C]31[/C][C]246.334052108448[/C][/ROW]
[ROW][C]32[/C][C]254.730112581503[/C][/ROW]
[ROW][C]33[/C][C]256.679972858433[/C][/ROW]
[ROW][C]34[/C][C]261.361654800394[/C][/ROW]
[ROW][C]35[/C][C]329.763785016267[/C][/ROW]
[ROW][C]36[/C][C]339.103976603738[/C][/ROW]
[ROW][C]37[/C][C]353.502886964272[/C][/ROW]
[ROW][C]38[/C][C]362.030747675153[/C][/ROW]
[ROW][C]39[/C][C]393.97368838804[/C][/ROW]
[ROW][C]40[/C][C]414.573526650052[/C][/ROW]
[ROW][C]41[/C][C]431.721814997212[/C][/ROW]
[ROW][C]42[/C][C]437.30479462004[/C][/ROW]
[ROW][C]43[/C][C]469.55655432689[/C][/ROW]
[ROW][C]44[/C][C]560.401764602405[/C][/ROW]
[ROW][C]45[/C][C]603.429123287684[/C][/ROW]
[ROW][C]46[/C][C]618.783100628122[/C][/ROW]
[ROW][C]47[/C][C]808.909084629662[/C][/ROW]
[ROW][C]48[/C][C]1040.04482003274[/C][/ROW]
[ROW][C]49[/C][C]1201.48586749047[/C][/ROW]
[ROW][C]50[/C][C]1204.88180138086[/C][/ROW]
[ROW][C]51[/C][C]1316.75254541482[/C][/ROW]
[ROW][C]52[/C][C]1621.33359797309[/C][/ROW]
[ROW][C]53[/C][C]1739.58664922588[/C][/ROW]
[ROW][C]54[/C][C]2576.13896143818[/C][/ROW]
[ROW][C]55[/C][C]2620.11850888589[/C][/ROW]
[ROW][C]56[/C][C]6291.83355832964[/C][/ROW]
[ROW][C]57[/C][C]7229.9208078198[/C][/ROW]
[ROW][C]58[/C][C]12361.8215545781[/C][/ROW]
[ROW][C]59[/C][C]46096.3952523531[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=33671&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=33671&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
129.4321507878713
240.701953270083
349.5446152472707
456.547136974386
571.6445657394903
687.1864215345485
796.1503910548473
898.5918719237757
9104.721676839134
10107.023259621448
11108.882974334834
12110.481012848362
13120.500926967387
14127.549412385945
15129.995701852022
16131.291050710351
17132.377078831647
18134.708989413518
19146.923875187118
20158.676088620813
21185.407242063833
22185.797405794591
23209.799784079966
24218.128842881728
25218.855835483981
26220.523910268251
27227.546819680306
28228.122067623844
29231.497374715136
30243.782913298630
31246.334052108448
32254.730112581503
33256.679972858433
34261.361654800394
35329.763785016267
36339.103976603738
37353.502886964272
38362.030747675153
39393.97368838804
40414.573526650052
41431.721814997212
42437.30479462004
43469.55655432689
44560.401764602405
45603.429123287684
46618.783100628122
47808.909084629662
481040.04482003274
491201.48586749047
501204.88180138086
511316.75254541482
521621.33359797309
531739.58664922588
542576.13896143818
552620.11850888589
566291.83355832964
577229.9208078198
5812361.8215545781
5946096.3952523531


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')
}