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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 computationThu, 31 Oct 2013 09:17:28 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Oct/31/t1383225937aam2td0yx6ouvi8.htm/, Retrieved Sun, 28 Apr 2024 19:46:49 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=221510, Retrieved Sun, 28 Apr 2024 19:46:49 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact91

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Hierarchical Clustering] [Analysis 1] [2013-10-31 13:17:28] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
0.82	0.05	0.00	0.00	0.00	0.00	0.04	0.00	0.00	0.01	0.07	134
0.94	0.04	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.03	113
0.89	0.08	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.03	66
0.81	0.12	0.00	0.00	0.00	0.00	0.00	0.03	0.00	0.02	0.02	58
0.90	0.07	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.02	81
0.87	0.08	0.02	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.03	63
0.88	0.02	0.01	0.00	0.00	0.00	0.00	0.02	0.00	0.00	0.08	128
0.77	0.10	0.02	0.00	0.00	0.00	0.00	0.00	0.08	0.02	0.02	61
0.88	0.04	0.02	0.00	0.00	0.00	0.00	0.02	0.00	0.00	0.05	56
0.84	0.04	0.05	0.00	0.00	0.00	0.01	0.00	0.00	0.01	0.04	92
0.74	0.11	0.02	0.02	0.02	0.00	0.00	0.01	0.01	0.01	0.06	126
0.83	0.10	0.01	0.03	0.00	0.00	0.00	0.01	0.00	0.00	0.02	153
0.71	0.11	0.13	0.05	0.00	0.00	0.00	0.00	0.00	0.00	0.00	126
0.86	0.03	0.02	0.00	0.00	0.00	0.01	0.03	0.02	0.00	0.04	182
0.85	0.09	0.03	0.00	0.00	0.00	0.00	0.00	0.01	0.00	0.03	116
0.78	0.16	0.04	0.00	0.00	0.00	0.00	0.01	0.00	0.00	0.01	104
0.65	0.14	0.13	0.03	0.00	0.00	0.00	0.01	0.00	0.01	0.03	101
0.80	0.06	0.04	0.00	0.01	0.00	0.01	0.01	0.00	0.01	0.05	140
0.75	0.15	0.08	0.00	0.00	0.00	0.01	0.00	0.00	0.00	0.02	133
0.75	0.09	0.13	0.00	0.00	0.00	0.01	0.00	0.00	0.00	0.02	182
0.55	0.19	0.18	0.07	0.00	0.00	0.02	0.00	0.00	0.00	0.00	165
0.57	0.18	0.11	0.13	0.01	0.00	0.00	0.02	0.00	0.00	0.00	198
0.62	0.22	0.12	0.00	0.03	0.00	0.00	0.00	0.00	0.00	0.00	239
0.57	0.20	0.14	0.04	0.01	0.00	0.03	0.00	0.00	0.01	0.00	280
0.64	0.23	0.08	0.01	0.02	0.00	0.00	0.00	0.00	0.01	0.00	205
0.64	0.17	0.12	0.07	0.00	0.00	0.00	0.00	0.00	0.00	0.00	212
0.70	0.18	0.08	0.02	0.00	0.00	0.00	0.02	0.00	0.00	0.00	126
0.48	0.19	0.17	0.12	0.02	0.00	0.00	0.01	0.00	0.00	0.00	217
0.62	0.13	0.23	0.01	0.00	0.00	0.00	0.01	0.00	0.00	0.00	172
0.60	0.22	0.15	0.03	0.01	0.00	0.00	0.00	0.00	0.00	0.00	144
0.49	0.08	0.26	0.05	0.00	0.00	0.03	0.05	0.00	0.00	0.05	39
0.77	0.08	0.04	0.00	0.00	0.00	0.00	0.12	0.00	0.00	0.00	26
0.50	0.06	0.00	0.00	0.00	0.00	0.03	0.29	0.03	0.00	0.09	34
0.41	0.13	0.08	0.00	0.00	0.00	0.03	0.21	0.10	0.00	0.05	39
0.72	0.09	0.00	0.00	0.00	0.00	0.03	0.03	0.00	0.00	0.13	32
0.58	0.08	0.12	0.02	0.00	0.00	0.00	0.14	0.00	0.06	0.00	65
0.52	0.16	0.13	0.00	0.00	0.00	0.00	0.06	0.13	0.00	0.00	31
0.82	0.13	0.00	0.00	0.00	0.00	0.00	0.05	0.00	0.00	0.00	55
0.38	0.05	0.10	0.00	0.00	0.00	0.00	0.29	0.19	0.00	0.00	21
0.68	0.00	0.14	0.04	0.04	0.00	0.04	0.04	0.00	0.00	0.04	28
0.72	0.06	0.00	0.00	0.00	0.00	0.02	0.04	0.02	0.00	0.13	47
0.82	0.02	0.00	0.00	0.00	0.00	0.00	0.05	0.09	0.00	0.02	57
0.70	0.05	0.00	0.00	0.05	0.00	0.00	0.05	0.15	0.00	0.00	20
1.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00	11
0.71	0.00	0.00	0.00	0.00	0.00	0.00	0.06	0.24	0.00	0.00	17
0.68	0.09	0.03	0.01	0.00	0.00	0.04	0.03	0.00	0.00	0.12	119
0.65	0.18	0.01	0.05	0.00	0.03	0.01	0.00	0.00	0.01	0.06	80
0.60	0.08	0.07	0.04	0.00	0.01	0.01	0.03	0.02	0.01	0.14	159
0.81	0.06	0.01	0.01	0.00	0.00	0.01	0.02	0.03	0.00	0.06	105
0.79	0.05	0.10	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.07	107
0.70	0.08	0.06	0.00	0.00	0.00	0.00	0.11	0.03	0.00	0.02	63
0.75	0.09	0.04	0.02	0.00	0.00	0.00	0.02	0.04	0.00	0.05	57
0.64	0.15	0.06	0.00	0.00	0.00	0.00	0.10	0.04	0.01	0.00	72
0.71	0.07	0.03	0.00	0.00	0.00	0.00	0.13	0.03	0.00	0.04	114
0.79	0.15	0.04	0.01	0.00	0.00	0.00	0.01	0.00	0.00	0.01	185
0.72	0.11	0.03	0.02	0.00	0.00	0.00	0.10	0.00	0.00	0.01	115
0.72	0.11	0.11	0.01	0.00	0.00	0.00	0.02	0.00	0.00	0.03	127
0.70	0.04	0.05	0.00	0.01	0.00	0.00	0.12	0.08	0.00	0.00	110
0.63	0.10	0.08	0.03	0.00	0.00	0.01	0.07	0.00	0.00	0.08	178
0.73	0.12	0.05	0.00	0.00	0.00	0.00	0.04	0.01	0.00	0.04	245
0.83	0.09	0.04	0.00	0.00	0.00	0.00	0.04	0.00	0.00	0.00	23
0.89	0.08	0.02	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00	85
0.67	0.27	0.00	0.01	0.00	0.00	0.00	0.01	0.00	0.01	0.02	82
0.76	0.08	0.02	0.00	0.00	0.00	0.00	0.00	0.04	0.00	0.10	49
0.71	0.09	0.03	0.00	0.00	0.00	0.00	0.06	0.00	0.03	0.09	34
0.52	0.04	0.13	0.02	0.00	0.02	0.15	0.00	0.00	0.00	0.13	48
0.83	0.10	0.02	0.00	0.00	0.00	0.02	0.00	0.00	0.00	0.02	42
0.70	0.10	0.05	0.05	0.00	0.00	0.10	0.00	0.00	0.00	0.00	20
0.93	0.00	0.00	0.04	0.00	0.00	0.04	0.00	0.00	0.00	0.00	27
0.73	0.12	0.02	0.01	0.00	0.00	0.09	0.02	0.00	0.00	0.01	105
0.81	0.09	0.03	0.00	0.00	0.00	0.00	0.04	0.00	0.01	0.01	69
0.65	0.00	0.15	0.01	0.00	0.00	0.00	0.01	0.00	0.00	0.18	68
0.81	0.06	0.03	0.03	0.00	0.00	0.00	0.00	0.00	0.00	0.06	31
0.76	0.08	0.05	0.01	0.01	0.00	0.00	0.00	0.00	0.03	0.05	76
0.68	0.05	0.00	0.00	0.00	0.00	0.00	0.05	0.14	0.00	0.09	22
0.71	0.17	0.04	0.00	0.00	0.00	0.01	0.00	0.00	0.01	0.06	112
0.73	0.03	0.09	0.03	0.00	0.00	0.08	0.05	0.00	0.00	0.00	66
0.86	0.02	0.05	0.00	0.00	0.00	0.05	0.00	0.00	0.00	0.02	43
0.89	0.03	0.03	0.00	0.00	0.00	0.00	0.03	0.00	0.00	0.03	37
0.76	0.09	0.02	0.02	0.01	0.00	0.02	0.01	0.02	0.00	0.04	91
0.46	0.22	0.12	0.06	0.00	0.01	0.01	0.01	0.00	0.01	0.10	287
0.48	0.17	0.16	0.04	0.01	0.00	0.01	0.01	0.00	0.00	0.11	232
0.55	0.15	0.09	0.06	0.01	0.01	0.06	0.02	0.00	0.01	0.04	110
0.60	0.20	0.10	0.07	0.00	0.00	0.00	0.01	0.00	0.00	0.01	139
0.69	0.03	0.06	0.03	0.01	0.00	0.00	0.01	0.00	0.00	0.17	77
0.72	0.12	0.07	0.03	0.00	0.00	0.02	0.03	0.00	0.00	0.01	174
0.66	0.13	0.10	0.03	0.01	0.01	0.02	0.01	0.00	0.00	0.03	104
0.56	0.10	0.06	0.07	0.03	0.02	0.01	0.00	0.00	0.00	0.14	97
0.77	0.12	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.12	26
0.58	0.07	0.15	0.04	0.00	0.00	0.01	0.05	0.02	0.00	0.07	81

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net

\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 & 4 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=221510&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]4 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=221510&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=221510&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 time4 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net






Summary of Dendrogram
LabelHeight
10.0938083151964686
20.104001609017043
30.126885775404495
40.141067359796659
50.14422205101856
60.171755640373177
70.178885438199983
80.208806130178211
90.212132034355964
100.216564078277077
110.248193472919817
120.281780056072107
130.31859064644148
140.359304884464434
150.363318042491699
160.938314110682004
170.938835198941604
180.939086211103098
190.966140113967727
200.975375591490608
210.982117270456354
220.989446932148352
231.00239712689133
241.00453969558201
251.00548495761995
261.00772019926168
271.01158291800524
281.0123240587875
291.02640148090306
301.03440804327886
311.0356157588604
321.03778610512957
331.03831594420966
341.04554535333673
351.24222830883127
361.25693214465607
371.25912788123905
381.26106582744792
391.26497842757306
401.49255191685193
411.49793089406073
421.95269239756425
431.99184352844826
442.00922870773837
452.05958793325342
462.15644568326103
472.23381067131511
482.47665271708256
492.95860177164217
502.9600012437302
513.31029629102906
523.60561193919091
533.7318307905945
543.86309542525053
554.00373575551634
564.24671902340493
574.25206278618117
584.29507378036134
594.34012348056715
604.5000589298813
615.00314900837463
625.5542908277843
635.77151326224771
645.86545773774886
656.00259943691065
666.00406528945181
676.23399774476451
686.25240472769847
696.63604483525897
706.97192719288521
717.0016640879151
727.00171407585314
737.50445873903629
748.13609855130287
758.44954711915982
768.50233758532413
779.99962032833132
7810.1408645010213
7911.5946099310272
8015.0240253137274
8115.2357673071191
8218.5255406253975
8321.965432084829
8424.5724350650175
8530.5803767783336
8631.6154933356644
8752.6534534964121
8853.7331122434635
89118.358272133869

\begin{tabular}{lllllllll}
\hline
Summary of Dendrogram \tabularnewline
Label & Height \tabularnewline
1 & 0.0938083151964686 \tabularnewline
2 & 0.104001609017043 \tabularnewline
3 & 0.126885775404495 \tabularnewline
4 & 0.141067359796659 \tabularnewline
5 & 0.14422205101856 \tabularnewline
6 & 0.171755640373177 \tabularnewline
7 & 0.178885438199983 \tabularnewline
8 & 0.208806130178211 \tabularnewline
9 & 0.212132034355964 \tabularnewline
10 & 0.216564078277077 \tabularnewline
11 & 0.248193472919817 \tabularnewline
12 & 0.281780056072107 \tabularnewline
13 & 0.31859064644148 \tabularnewline
14 & 0.359304884464434 \tabularnewline
15 & 0.363318042491699 \tabularnewline
16 & 0.938314110682004 \tabularnewline
17 & 0.938835198941604 \tabularnewline
18 & 0.939086211103098 \tabularnewline
19 & 0.966140113967727 \tabularnewline
20 & 0.975375591490608 \tabularnewline
21 & 0.982117270456354 \tabularnewline
22 & 0.989446932148352 \tabularnewline
23 & 1.00239712689133 \tabularnewline
24 & 1.00453969558201 \tabularnewline
25 & 1.00548495761995 \tabularnewline
26 & 1.00772019926168 \tabularnewline
27 & 1.01158291800524 \tabularnewline
28 & 1.0123240587875 \tabularnewline
29 & 1.02640148090306 \tabularnewline
30 & 1.03440804327886 \tabularnewline
31 & 1.0356157588604 \tabularnewline
32 & 1.03778610512957 \tabularnewline
33 & 1.03831594420966 \tabularnewline
34 & 1.04554535333673 \tabularnewline
35 & 1.24222830883127 \tabularnewline
36 & 1.25693214465607 \tabularnewline
37 & 1.25912788123905 \tabularnewline
38 & 1.26106582744792 \tabularnewline
39 & 1.26497842757306 \tabularnewline
40 & 1.49255191685193 \tabularnewline
41 & 1.49793089406073 \tabularnewline
42 & 1.95269239756425 \tabularnewline
43 & 1.99184352844826 \tabularnewline
44 & 2.00922870773837 \tabularnewline
45 & 2.05958793325342 \tabularnewline
46 & 2.15644568326103 \tabularnewline
47 & 2.23381067131511 \tabularnewline
48 & 2.47665271708256 \tabularnewline
49 & 2.95860177164217 \tabularnewline
50 & 2.9600012437302 \tabularnewline
51 & 3.31029629102906 \tabularnewline
52 & 3.60561193919091 \tabularnewline
53 & 3.7318307905945 \tabularnewline
54 & 3.86309542525053 \tabularnewline
55 & 4.00373575551634 \tabularnewline
56 & 4.24671902340493 \tabularnewline
57 & 4.25206278618117 \tabularnewline
58 & 4.29507378036134 \tabularnewline
59 & 4.34012348056715 \tabularnewline
60 & 4.5000589298813 \tabularnewline
61 & 5.00314900837463 \tabularnewline
62 & 5.5542908277843 \tabularnewline
63 & 5.77151326224771 \tabularnewline
64 & 5.86545773774886 \tabularnewline
65 & 6.00259943691065 \tabularnewline
66 & 6.00406528945181 \tabularnewline
67 & 6.23399774476451 \tabularnewline
68 & 6.25240472769847 \tabularnewline
69 & 6.63604483525897 \tabularnewline
70 & 6.97192719288521 \tabularnewline
71 & 7.0016640879151 \tabularnewline
72 & 7.00171407585314 \tabularnewline
73 & 7.50445873903629 \tabularnewline
74 & 8.13609855130287 \tabularnewline
75 & 8.44954711915982 \tabularnewline
76 & 8.50233758532413 \tabularnewline
77 & 9.99962032833132 \tabularnewline
78 & 10.1408645010213 \tabularnewline
79 & 11.5946099310272 \tabularnewline
80 & 15.0240253137274 \tabularnewline
81 & 15.2357673071191 \tabularnewline
82 & 18.5255406253975 \tabularnewline
83 & 21.965432084829 \tabularnewline
84 & 24.5724350650175 \tabularnewline
85 & 30.5803767783336 \tabularnewline
86 & 31.6154933356644 \tabularnewline
87 & 52.6534534964121 \tabularnewline
88 & 53.7331122434635 \tabularnewline
89 & 118.358272133869 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=221510&T=1

[TABLE]
[ROW][C]Summary of Dendrogram[/C][/ROW]
[ROW][C]Label[/C][C]Height[/C][/ROW]
[ROW][C]1[/C][C]0.0938083151964686[/C][/ROW]
[ROW][C]2[/C][C]0.104001609017043[/C][/ROW]
[ROW][C]3[/C][C]0.126885775404495[/C][/ROW]
[ROW][C]4[/C][C]0.141067359796659[/C][/ROW]
[ROW][C]5[/C][C]0.14422205101856[/C][/ROW]
[ROW][C]6[/C][C]0.171755640373177[/C][/ROW]
[ROW][C]7[/C][C]0.178885438199983[/C][/ROW]
[ROW][C]8[/C][C]0.208806130178211[/C][/ROW]
[ROW][C]9[/C][C]0.212132034355964[/C][/ROW]
[ROW][C]10[/C][C]0.216564078277077[/C][/ROW]
[ROW][C]11[/C][C]0.248193472919817[/C][/ROW]
[ROW][C]12[/C][C]0.281780056072107[/C][/ROW]
[ROW][C]13[/C][C]0.31859064644148[/C][/ROW]
[ROW][C]14[/C][C]0.359304884464434[/C][/ROW]
[ROW][C]15[/C][C]0.363318042491699[/C][/ROW]
[ROW][C]16[/C][C]0.938314110682004[/C][/ROW]
[ROW][C]17[/C][C]0.938835198941604[/C][/ROW]
[ROW][C]18[/C][C]0.939086211103098[/C][/ROW]
[ROW][C]19[/C][C]0.966140113967727[/C][/ROW]
[ROW][C]20[/C][C]0.975375591490608[/C][/ROW]
[ROW][C]21[/C][C]0.982117270456354[/C][/ROW]
[ROW][C]22[/C][C]0.989446932148352[/C][/ROW]
[ROW][C]23[/C][C]1.00239712689133[/C][/ROW]
[ROW][C]24[/C][C]1.00453969558201[/C][/ROW]
[ROW][C]25[/C][C]1.00548495761995[/C][/ROW]
[ROW][C]26[/C][C]1.00772019926168[/C][/ROW]
[ROW][C]27[/C][C]1.01158291800524[/C][/ROW]
[ROW][C]28[/C][C]1.0123240587875[/C][/ROW]
[ROW][C]29[/C][C]1.02640148090306[/C][/ROW]
[ROW][C]30[/C][C]1.03440804327886[/C][/ROW]
[ROW][C]31[/C][C]1.0356157588604[/C][/ROW]
[ROW][C]32[/C][C]1.03778610512957[/C][/ROW]
[ROW][C]33[/C][C]1.03831594420966[/C][/ROW]
[ROW][C]34[/C][C]1.04554535333673[/C][/ROW]
[ROW][C]35[/C][C]1.24222830883127[/C][/ROW]
[ROW][C]36[/C][C]1.25693214465607[/C][/ROW]
[ROW][C]37[/C][C]1.25912788123905[/C][/ROW]
[ROW][C]38[/C][C]1.26106582744792[/C][/ROW]
[ROW][C]39[/C][C]1.26497842757306[/C][/ROW]
[ROW][C]40[/C][C]1.49255191685193[/C][/ROW]
[ROW][C]41[/C][C]1.49793089406073[/C][/ROW]
[ROW][C]42[/C][C]1.95269239756425[/C][/ROW]
[ROW][C]43[/C][C]1.99184352844826[/C][/ROW]
[ROW][C]44[/C][C]2.00922870773837[/C][/ROW]
[ROW][C]45[/C][C]2.05958793325342[/C][/ROW]
[ROW][C]46[/C][C]2.15644568326103[/C][/ROW]
[ROW][C]47[/C][C]2.23381067131511[/C][/ROW]
[ROW][C]48[/C][C]2.47665271708256[/C][/ROW]
[ROW][C]49[/C][C]2.95860177164217[/C][/ROW]
[ROW][C]50[/C][C]2.9600012437302[/C][/ROW]
[ROW][C]51[/C][C]3.31029629102906[/C][/ROW]
[ROW][C]52[/C][C]3.60561193919091[/C][/ROW]
[ROW][C]53[/C][C]3.7318307905945[/C][/ROW]
[ROW][C]54[/C][C]3.86309542525053[/C][/ROW]
[ROW][C]55[/C][C]4.00373575551634[/C][/ROW]
[ROW][C]56[/C][C]4.24671902340493[/C][/ROW]
[ROW][C]57[/C][C]4.25206278618117[/C][/ROW]
[ROW][C]58[/C][C]4.29507378036134[/C][/ROW]
[ROW][C]59[/C][C]4.34012348056715[/C][/ROW]
[ROW][C]60[/C][C]4.5000589298813[/C][/ROW]
[ROW][C]61[/C][C]5.00314900837463[/C][/ROW]
[ROW][C]62[/C][C]5.5542908277843[/C][/ROW]
[ROW][C]63[/C][C]5.77151326224771[/C][/ROW]
[ROW][C]64[/C][C]5.86545773774886[/C][/ROW]
[ROW][C]65[/C][C]6.00259943691065[/C][/ROW]
[ROW][C]66[/C][C]6.00406528945181[/C][/ROW]
[ROW][C]67[/C][C]6.23399774476451[/C][/ROW]
[ROW][C]68[/C][C]6.25240472769847[/C][/ROW]
[ROW][C]69[/C][C]6.63604483525897[/C][/ROW]
[ROW][C]70[/C][C]6.97192719288521[/C][/ROW]
[ROW][C]71[/C][C]7.0016640879151[/C][/ROW]
[ROW][C]72[/C][C]7.00171407585314[/C][/ROW]
[ROW][C]73[/C][C]7.50445873903629[/C][/ROW]
[ROW][C]74[/C][C]8.13609855130287[/C][/ROW]
[ROW][C]75[/C][C]8.44954711915982[/C][/ROW]
[ROW][C]76[/C][C]8.50233758532413[/C][/ROW]
[ROW][C]77[/C][C]9.99962032833132[/C][/ROW]
[ROW][C]78[/C][C]10.1408645010213[/C][/ROW]
[ROW][C]79[/C][C]11.5946099310272[/C][/ROW]
[ROW][C]80[/C][C]15.0240253137274[/C][/ROW]
[ROW][C]81[/C][C]15.2357673071191[/C][/ROW]
[ROW][C]82[/C][C]18.5255406253975[/C][/ROW]
[ROW][C]83[/C][C]21.965432084829[/C][/ROW]
[ROW][C]84[/C][C]24.5724350650175[/C][/ROW]
[ROW][C]85[/C][C]30.5803767783336[/C][/ROW]
[ROW][C]86[/C][C]31.6154933356644[/C][/ROW]
[ROW][C]87[/C][C]52.6534534964121[/C][/ROW]
[ROW][C]88[/C][C]53.7331122434635[/C][/ROW]
[ROW][C]89[/C][C]118.358272133869[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=221510&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=221510&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
10.0938083151964686
20.104001609017043
30.126885775404495
40.141067359796659
50.14422205101856
60.171755640373177
70.178885438199983
80.208806130178211
90.212132034355964
100.216564078277077
110.248193472919817
120.281780056072107
130.31859064644148
140.359304884464434
150.363318042491699
160.938314110682004
170.938835198941604
180.939086211103098
190.966140113967727
200.975375591490608
210.982117270456354
220.989446932148352
231.00239712689133
241.00453969558201
251.00548495761995
261.00772019926168
271.01158291800524
281.0123240587875
291.02640148090306
301.03440804327886
311.0356157588604
321.03778610512957
331.03831594420966
341.04554535333673
351.24222830883127
361.25693214465607
371.25912788123905
381.26106582744792
391.26497842757306
401.49255191685193
411.49793089406073
421.95269239756425
431.99184352844826
442.00922870773837
452.05958793325342
462.15644568326103
472.23381067131511
482.47665271708256
492.95860177164217
502.9600012437302
513.31029629102906
523.60561193919091
533.7318307905945
543.86309542525053
554.00373575551634
564.24671902340493
574.25206278618117
584.29507378036134
594.34012348056715
604.5000589298813
615.00314900837463
625.5542908277843
635.77151326224771
645.86545773774886
656.00259943691065
666.00406528945181
676.23399774476451
686.25240472769847
696.63604483525897
706.97192719288521
717.0016640879151
727.00171407585314
737.50445873903629
748.13609855130287
758.44954711915982
768.50233758532413
779.99962032833132
7810.1408645010213
7911.5946099310272
8015.0240253137274
8115.2357673071191
8218.5255406253975
8321.965432084829
8424.5724350650175
8530.5803767783336
8631.6154933356644
8752.6534534964121
8853.7331122434635
89118.358272133869






Summary of Cut Dendrogram
LabelHeight
144.8334781905962
259.3750824543707
369.8968984748008
4111.002220096264

\begin{tabular}{lllllllll}
\hline
Summary of Cut Dendrogram \tabularnewline
Label & Height \tabularnewline
1 & 44.8334781905962 \tabularnewline
2 & 59.3750824543707 \tabularnewline
3 & 69.8968984748008 \tabularnewline
4 & 111.002220096264 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=221510&T=2

[TABLE]
[ROW][C]Summary of Cut Dendrogram[/C][/ROW]
[ROW][C]Label[/C][C]Height[/C][/ROW]
[ROW][C]1[/C][C]44.8334781905962[/C][/ROW]
[ROW][C]2[/C][C]59.3750824543707[/C][/ROW]
[ROW][C]3[/C][C]69.8968984748008[/C][/ROW]
[ROW][C]4[/C][C]111.002220096264[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=221510&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=221510&T=2

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 Cut Dendrogram
LabelHeight
144.8334781905962
259.3750824543707
369.8968984748008
4111.002220096264


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = median ; par2 = 5 ; par3 = FALSE ; par4 = FALSE ;
Parameters (R input):
par1 = median ; par2 = 5 ; par3 = FALSE ; par4 = FALSE ;
R code (references can be found in the software module):
par4 <- 'FALSE'
par3 <- 'FALSE'
par2 <- '5'
par1 <- 'median'
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')
}