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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 computationSun, 04 Nov 2007 06:22:38 -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/04/s6on5zk06p7f2vb1194182669.htm/, Retrieved Sun, 05 May 2024 15:32:22 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=14439, Retrieved Sun, 05 May 2024 15:32:22 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsQ2 Median linkage duidelijker
Estimated Impact199

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Hierarchical Clustering] [Various EDA topics] [2007-11-04 13:22:38] [9f56c817b9cbf8e0a78facd2684b8c55] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
106,7	97,3	93,5	104,8	124,9
110,2	101	94,7	105,6	132
125,9	113,2	112,9	118,3	151,4
100,1	101	99,2	89,9	108,9
106,4	105,7	105,6	90,2	121,3
114,8	113,9	113	107	123,4
81,3	86,4	83,1	64,5	90,3
87	96,5	81,1	92,6	79,3
104,2	103,3	96,9	95,8	117,2
108	114,9	104,3	94,3	116,9
105	105,8	97,7	91,2	120,8
94,5	94,2	102,6	86,3	96,1
92	98,4	89,9	77,6	100,8
95,9	99,4	96	82,5	105,3
108,8	108,8	112,7	97,7	116,1
103,4	112,6	107,1	83,3	112,8
102,1	104,4	106,2	84,2	114,5
110,1	112,2	121	92,8	117,2
83,2	81,1	101,2	77,4	77,1
82,7	97,1	83,2	72,5	80,1
106,8	112,6	105,1	88,8	120,3
113,7	113,8	113,3	93,4	133,4
102,5	107,8	99,1	92,6	109,4
96,6	103,2	100,3	90,7	93,2
92,1	103,3	93,5	81,6	91,2
95,6	101,2	98,8	84,1	99,2
102,3	107,7	106,2	88,1	108,2
98,6	110,4	98,3	85,3	101,5
98,2	101,9	102,1	82,9	106,9
104,5	115,9	117,1	84,8	104,4
84	89,9	101,5	71,2	77,9
73,8	88,6	80,5	68,9	60
103,9	117,2	105,9	94,3	99,5
106	123,9	109,5	97,6	95
97,2	100	97,2	85,6	105,6
102,6	103,6	114,5	91,9	102,5
89	94,1	93,5	75,8	93,3
93,8	98,7	100,9	79,8	97,3
116,7	119,5	121,1	99	127
106,8	112,7	116,5	88,5	111,7
98,5	104,4	109,3	86,7	96,4
118,7	124,7	118,1	97,9	133
90	89,1	108,3	94,3	72,2
91,9	97	105,4	72,9	95,8
113,3	121,6	116,2	91,8	124,1
113,1	118,8	111,2	93,2	127,6
104,1	114	105,8	86,5	110,7
108,7	111,5	122,7	98,9	104,6
96,7	97,2	99,5	77,2	112,7
101	102,5	107,9	79,4	115,3
116,9	113,4	124,6	90,4	139,4
105,8	109,8	115	81,4	119
99	104,9	110,3	85,8	97,4
129,4	126,1	132,7	103,6	154
83	80	99,7	73,6	81,5
88,9	96,8	96,5	75,7	88,8
115,9	117,2	118,7	99,2	127,7
104,2	112,3	112,9	88,7	105,1
113,4	117,3	130,5	94,6	114,9
112,2	111,1	137,9	98,7	106,4
100,8	102,2	115	84,2	104,5
107,3	104,3	116,8	87,7	121,6
126,6	122,9	140,9	103,3	141,4
102,9	107,6	120,7	88,2	99
117,9	121,3	134,2	93,4	126,7
128,8	131,5	147,3	106,3	134,1
87,5	89	112,4	73,1	81,3
93,8	104,4	107,1	78,6	88,6
122,7	128,9	128,4	101,6	132,7
126,2	135,9	137,7	101,4	132,9
124,6	133,3	135	98,5	134,4
116,7	121,3	151	99	103,7
115,2	120,5	137,4	89,5	119,7
111,1	120,4	132,4	83,5	115
129,9	137,9	161,3	97,4	132,9
113,3	126,1	139,8	87,8	108,5
118,5	133,2	146	90,4	113,9
133,5	146,6	154,6	97,1	142,9
102,1	103,4	142,1	79,4	95,2
102,4	117,2	120,5	85	93

Tables (Output of Computation)





Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\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 & 3 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=14439&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=14439&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=14439&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 time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001






Summary of Dendrogram
LabelHeight
11.81934053986603
23.4957116585897
33.63180395946697
44.33474336033865
55.22206855565876
65.60267793113257
75.74512072532152
86
96.04648658313239
106.107372593841
116.15860636429864
126.45368112010501
136.70856395188957
146.81102048154313
156.83260979020074
166.8622153857191
177.0128453569147
187.16449382464336
197.4083140899238
207.1214799907029
217.71686464828818
227.81092289440219
237.91086731317946
247.94059340560206
256.45490195478208
267.96271809360783
277.70067939697618
288.29095893126965
297.51037217573801
307.94376386896572
318.5041681997451
328.8164575574843
338.85607136375944
349.05437634040932
357.83392803491776
369.0763428758504
379.21848623328527
389.29070268016596
398.66339340060193
408.98480689422498
419.38657694801817
429.66436754267965
439.88155467921738
449.06835604025559
459.99780818937634
468.03111599037432
4710.3153385059235
4810.8988069450278
4911.3774274251371
5011.4240368413407
5110.0170600693164
5211.5200112198508
5312.1415308903006
5412.6197775493412
5512.7331168478134
5610.5384334583787
5713.1929396056270
5810.5316914252772
5913.7854807631251
6014.9393558791966
6113.7377260595379
6214.9566146749838
6315.2849599279815
6415.5326126998364
6513.4674105878907
6615.6674895966346
6716.867127793433
6818.8083300857208
6919.3647943879523
7019.6540748901031
7120.5663113863241
7221.3203126005834
7321.1238745486285
7422.8397962092912
7527.0414620405192
7629.7263816441574
7729.9564287500552
7849.2470366998065
7943.1842717413311

\begin{tabular}{lllllllll}
\hline
Summary of Dendrogram \tabularnewline
Label & Height \tabularnewline
1 & 1.81934053986603 \tabularnewline
2 & 3.4957116585897 \tabularnewline
3 & 3.63180395946697 \tabularnewline
4 & 4.33474336033865 \tabularnewline
5 & 5.22206855565876 \tabularnewline
6 & 5.60267793113257 \tabularnewline
7 & 5.74512072532152 \tabularnewline
8 & 6 \tabularnewline
9 & 6.04648658313239 \tabularnewline
10 & 6.107372593841 \tabularnewline
11 & 6.15860636429864 \tabularnewline
12 & 6.45368112010501 \tabularnewline
13 & 6.70856395188957 \tabularnewline
14 & 6.81102048154313 \tabularnewline
15 & 6.83260979020074 \tabularnewline
16 & 6.8622153857191 \tabularnewline
17 & 7.0128453569147 \tabularnewline
18 & 7.16449382464336 \tabularnewline
19 & 7.4083140899238 \tabularnewline
20 & 7.1214799907029 \tabularnewline
21 & 7.71686464828818 \tabularnewline
22 & 7.81092289440219 \tabularnewline
23 & 7.91086731317946 \tabularnewline
24 & 7.94059340560206 \tabularnewline
25 & 6.45490195478208 \tabularnewline
26 & 7.96271809360783 \tabularnewline
27 & 7.70067939697618 \tabularnewline
28 & 8.29095893126965 \tabularnewline
29 & 7.51037217573801 \tabularnewline
30 & 7.94376386896572 \tabularnewline
31 & 8.5041681997451 \tabularnewline
32 & 8.8164575574843 \tabularnewline
33 & 8.85607136375944 \tabularnewline
34 & 9.05437634040932 \tabularnewline
35 & 7.83392803491776 \tabularnewline
36 & 9.0763428758504 \tabularnewline
37 & 9.21848623328527 \tabularnewline
38 & 9.29070268016596 \tabularnewline
39 & 8.66339340060193 \tabularnewline
40 & 8.98480689422498 \tabularnewline
41 & 9.38657694801817 \tabularnewline
42 & 9.66436754267965 \tabularnewline
43 & 9.88155467921738 \tabularnewline
44 & 9.06835604025559 \tabularnewline
45 & 9.99780818937634 \tabularnewline
46 & 8.03111599037432 \tabularnewline
47 & 10.3153385059235 \tabularnewline
48 & 10.8988069450278 \tabularnewline
49 & 11.3774274251371 \tabularnewline
50 & 11.4240368413407 \tabularnewline
51 & 10.0170600693164 \tabularnewline
52 & 11.5200112198508 \tabularnewline
53 & 12.1415308903006 \tabularnewline
54 & 12.6197775493412 \tabularnewline
55 & 12.7331168478134 \tabularnewline
56 & 10.5384334583787 \tabularnewline
57 & 13.1929396056270 \tabularnewline
58 & 10.5316914252772 \tabularnewline
59 & 13.7854807631251 \tabularnewline
60 & 14.9393558791966 \tabularnewline
61 & 13.7377260595379 \tabularnewline
62 & 14.9566146749838 \tabularnewline
63 & 15.2849599279815 \tabularnewline
64 & 15.5326126998364 \tabularnewline
65 & 13.4674105878907 \tabularnewline
66 & 15.6674895966346 \tabularnewline
67 & 16.867127793433 \tabularnewline
68 & 18.8083300857208 \tabularnewline
69 & 19.3647943879523 \tabularnewline
70 & 19.6540748901031 \tabularnewline
71 & 20.5663113863241 \tabularnewline
72 & 21.3203126005834 \tabularnewline
73 & 21.1238745486285 \tabularnewline
74 & 22.8397962092912 \tabularnewline
75 & 27.0414620405192 \tabularnewline
76 & 29.7263816441574 \tabularnewline
77 & 29.9564287500552 \tabularnewline
78 & 49.2470366998065 \tabularnewline
79 & 43.1842717413311 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=14439&T=1

[TABLE]
[ROW][C]Summary of Dendrogram[/C][/ROW]
[ROW][C]Label[/C][C]Height[/C][/ROW]
[ROW][C]1[/C][C]1.81934053986603[/C][/ROW]
[ROW][C]2[/C][C]3.4957116585897[/C][/ROW]
[ROW][C]3[/C][C]3.63180395946697[/C][/ROW]
[ROW][C]4[/C][C]4.33474336033865[/C][/ROW]
[ROW][C]5[/C][C]5.22206855565876[/C][/ROW]
[ROW][C]6[/C][C]5.60267793113257[/C][/ROW]
[ROW][C]7[/C][C]5.74512072532152[/C][/ROW]
[ROW][C]8[/C][C]6[/C][/ROW]
[ROW][C]9[/C][C]6.04648658313239[/C][/ROW]
[ROW][C]10[/C][C]6.107372593841[/C][/ROW]
[ROW][C]11[/C][C]6.15860636429864[/C][/ROW]
[ROW][C]12[/C][C]6.45368112010501[/C][/ROW]
[ROW][C]13[/C][C]6.70856395188957[/C][/ROW]
[ROW][C]14[/C][C]6.81102048154313[/C][/ROW]
[ROW][C]15[/C][C]6.83260979020074[/C][/ROW]
[ROW][C]16[/C][C]6.8622153857191[/C][/ROW]
[ROW][C]17[/C][C]7.0128453569147[/C][/ROW]
[ROW][C]18[/C][C]7.16449382464336[/C][/ROW]
[ROW][C]19[/C][C]7.4083140899238[/C][/ROW]
[ROW][C]20[/C][C]7.1214799907029[/C][/ROW]
[ROW][C]21[/C][C]7.71686464828818[/C][/ROW]
[ROW][C]22[/C][C]7.81092289440219[/C][/ROW]
[ROW][C]23[/C][C]7.91086731317946[/C][/ROW]
[ROW][C]24[/C][C]7.94059340560206[/C][/ROW]
[ROW][C]25[/C][C]6.45490195478208[/C][/ROW]
[ROW][C]26[/C][C]7.96271809360783[/C][/ROW]
[ROW][C]27[/C][C]7.70067939697618[/C][/ROW]
[ROW][C]28[/C][C]8.29095893126965[/C][/ROW]
[ROW][C]29[/C][C]7.51037217573801[/C][/ROW]
[ROW][C]30[/C][C]7.94376386896572[/C][/ROW]
[ROW][C]31[/C][C]8.5041681997451[/C][/ROW]
[ROW][C]32[/C][C]8.8164575574843[/C][/ROW]
[ROW][C]33[/C][C]8.85607136375944[/C][/ROW]
[ROW][C]34[/C][C]9.05437634040932[/C][/ROW]
[ROW][C]35[/C][C]7.83392803491776[/C][/ROW]
[ROW][C]36[/C][C]9.0763428758504[/C][/ROW]
[ROW][C]37[/C][C]9.21848623328527[/C][/ROW]
[ROW][C]38[/C][C]9.29070268016596[/C][/ROW]
[ROW][C]39[/C][C]8.66339340060193[/C][/ROW]
[ROW][C]40[/C][C]8.98480689422498[/C][/ROW]
[ROW][C]41[/C][C]9.38657694801817[/C][/ROW]
[ROW][C]42[/C][C]9.66436754267965[/C][/ROW]
[ROW][C]43[/C][C]9.88155467921738[/C][/ROW]
[ROW][C]44[/C][C]9.06835604025559[/C][/ROW]
[ROW][C]45[/C][C]9.99780818937634[/C][/ROW]
[ROW][C]46[/C][C]8.03111599037432[/C][/ROW]
[ROW][C]47[/C][C]10.3153385059235[/C][/ROW]
[ROW][C]48[/C][C]10.8988069450278[/C][/ROW]
[ROW][C]49[/C][C]11.3774274251371[/C][/ROW]
[ROW][C]50[/C][C]11.4240368413407[/C][/ROW]
[ROW][C]51[/C][C]10.0170600693164[/C][/ROW]
[ROW][C]52[/C][C]11.5200112198508[/C][/ROW]
[ROW][C]53[/C][C]12.1415308903006[/C][/ROW]
[ROW][C]54[/C][C]12.6197775493412[/C][/ROW]
[ROW][C]55[/C][C]12.7331168478134[/C][/ROW]
[ROW][C]56[/C][C]10.5384334583787[/C][/ROW]
[ROW][C]57[/C][C]13.1929396056270[/C][/ROW]
[ROW][C]58[/C][C]10.5316914252772[/C][/ROW]
[ROW][C]59[/C][C]13.7854807631251[/C][/ROW]
[ROW][C]60[/C][C]14.9393558791966[/C][/ROW]
[ROW][C]61[/C][C]13.7377260595379[/C][/ROW]
[ROW][C]62[/C][C]14.9566146749838[/C][/ROW]
[ROW][C]63[/C][C]15.2849599279815[/C][/ROW]
[ROW][C]64[/C][C]15.5326126998364[/C][/ROW]
[ROW][C]65[/C][C]13.4674105878907[/C][/ROW]
[ROW][C]66[/C][C]15.6674895966346[/C][/ROW]
[ROW][C]67[/C][C]16.867127793433[/C][/ROW]
[ROW][C]68[/C][C]18.8083300857208[/C][/ROW]
[ROW][C]69[/C][C]19.3647943879523[/C][/ROW]
[ROW][C]70[/C][C]19.6540748901031[/C][/ROW]
[ROW][C]71[/C][C]20.5663113863241[/C][/ROW]
[ROW][C]72[/C][C]21.3203126005834[/C][/ROW]
[ROW][C]73[/C][C]21.1238745486285[/C][/ROW]
[ROW][C]74[/C][C]22.8397962092912[/C][/ROW]
[ROW][C]75[/C][C]27.0414620405192[/C][/ROW]
[ROW][C]76[/C][C]29.7263816441574[/C][/ROW]
[ROW][C]77[/C][C]29.9564287500552[/C][/ROW]
[ROW][C]78[/C][C]49.2470366998065[/C][/ROW]
[ROW][C]79[/C][C]43.1842717413311[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=14439&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=14439&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
11.81934053986603
23.4957116585897
33.63180395946697
44.33474336033865
55.22206855565876
65.60267793113257
75.74512072532152
86
96.04648658313239
106.107372593841
116.15860636429864
126.45368112010501
136.70856395188957
146.81102048154313
156.83260979020074
166.8622153857191
177.0128453569147
187.16449382464336
197.4083140899238
207.1214799907029
217.71686464828818
227.81092289440219
237.91086731317946
247.94059340560206
256.45490195478208
267.96271809360783
277.70067939697618
288.29095893126965
297.51037217573801
307.94376386896572
318.5041681997451
328.8164575574843
338.85607136375944
349.05437634040932
357.83392803491776
369.0763428758504
379.21848623328527
389.29070268016596
398.66339340060193
408.98480689422498
419.38657694801817
429.66436754267965
439.88155467921738
449.06835604025559
459.99780818937634
468.03111599037432
4710.3153385059235
4810.8988069450278
4911.3774274251371
5011.4240368413407
5110.0170600693164
5211.5200112198508
5312.1415308903006
5412.6197775493412
5512.7331168478134
5610.5384334583787
5713.1929396056270
5810.5316914252772
5913.7854807631251
6014.9393558791966
6113.7377260595379
6214.9566146749838
6315.2849599279815
6415.5326126998364
6513.4674105878907
6615.6674895966346
6716.867127793433
6818.8083300857208
6919.3647943879523
7019.6540748901031
7120.5663113863241
7221.3203126005834
7321.1238745486285
7422.8397962092912
7527.0414620405192
7629.7263816441574
7729.9564287500552
7849.2470366998065
7943.1842717413311


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = ward ; par2 = ALL ; par3 = FALSE ; par4 = FALSE ;
Parameters (R input):
par1 = median ; par2 = ALL ; par3 = TRUE ; 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')
}