Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_hierarchicalclustering.wasp
Title produced by softwareHierarchical Clustering
Date of computationSat, 03 Nov 2007 05:27:59 -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/03/r5smlq7hdegnclk1194092814.htm/, Retrieved Sat, 04 May 2024 20:33:32 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=240, Retrieved Sat, 04 May 2024 20:33:32 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsG29 WS6 Q2
Estimated Impact241
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Hierarchical Clustering] [Hierarchical Clus...] [2007-11-03 12:27:59] [7a600ca82a81f1b71fd92dcbb183f5b4] [Current]
-   PD    [Hierarchical Clustering] [Q2] [2008-11-11 16:05:57] [b187fac1a1b0cb3920f54366df47fea3]
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Dataseries X:
174,1	145,3	145,9
180,4	143,6	158,5
182,6	142,8	152,2
207,1	155,9	153,7
213,7	156,2	157,9
186,5	149,8	154,4
179,1	152,7	150,7
168,3	155,5	151,2
156,5	159,3	147,3
144,3	143	146,6
138,9	141,4	145,2
137,8	142,8	139,3
136,3	146,4	145,7
140,3	152,3	163,3
149,1	164,3	181,8
149,2	168	188,1
140,4	171,3	222,9
129	162,7	206,3
124,7	150,2	184,9
130,8	142,5	183,6
130,1	138,2	186,6
133,2	138	176,5
130,1	145,1	173,9
126,6	138,4	184,9
124,8	131,8	182,5
125,3	130,8	183,6
126,9	126,3	172,4
120,1	123	168,9
118,7	124	163,3
117,7	120,8	152,4
113,4	122,1	145,8
107,5	106,5	148,6
107,6	104,3	143,4
114,3	108,7	141,2
114,9	113,8	144,6
111,2	112,5	144,5
109,9	106,1	140,8
108,6	98,4	133,3
109,2	96	127,3
106,4	99,3	119,6
103,7	97,5	120,2
103	95,3	121,9
96,9	88	112,4
104,7	94,7	111
102,2	99,4	107,8
99	98,9	110,5
95,8	96,4	118,3
94,5	95,3	123
102,7	99,5	112,1
103,2	101,6	104,2
105,6	103,9	102,4
103,9	106,6	100,3
107,2	108,3	102,6
100,7	102	101,5
92,1	93,8	103,4
90,3	91,6	99,4
93,4	97,7	97,9
98,5	94,8	98
100,8	98	90,2
102,3	103,8	87,1
104,7	97,8	91,8
101,1	91,2	94,8
101,4	89,3	91,8
99,5	87,5	89,3
98,4	90,4	91,7
96,3	94,2	86,2
100,7	102,2	82,8
101,2	101,3	82,3
100,3	96	79,8
97,8	90,8	79,4
97,4	93,2	85,3
98,6	90,9	87,5
99,7	91,1	88,3
99	90,2	88,6
98,1	94,3	94,9
97	96	94,7
98,5	99	92,6
103,8	103,3	91,8
114,4	113,1	96,4
124,5	112,8	96,4
134,2	112,1	107,1
131,8	107,4	111,9
125,6	111	107,8
119,9	110,5	109,2
114,9	110,8	115,3
115,5	112,4	119,2
112,5	111,5	107,8
111,4	116,2	106,8
115,3	122,5	104,2
110,8	121,3	94,8
103,7	113,9	97,5
111,1	110,7	98,3
113	120,8	100,6
111,2	141,1	94,9
117,6	147,4	93,6
121,7	148	98
127,3	158,1	104,3
129,8	165	103,9
137,1	187	105,3
141,4	190,3	102,6
137,4	182,4	103,3
130,7	168,8	107,9
117,2	151,2	107,8
110,8	120,1	109,8
111,4	112,5	110,6
108,2	106,2	110,8
108,8	107,1	119,3
110,2	108,5	128,1
109,5	106,5	127,6
109,5	108,3	137,9
116	125,6	151,4
111,2	124	143,6
112,1	127,2	143,4
114	136,9	141,9
119,1	135,8	135,2
114,1	124,3	133,1
115,1	115,4	129,6
115,4	113,6	134,1
110,8	114,4	136,8
116	118,4	143,5
119,2	117	162,5
126,5	116,5	163,1
127,8	115,4	157,2
131,3	113,6	158,8
140,3	117,4	155,4
137,3	116,9	148,5
143	116,4	154,2
134,5	111,1	153,3
139,9	110,2	149,4
159,3	118,9	147,9
170,4	131,8	156
175	130,6	163
175,8	138,3	159,1
180,9	148,4	159,5
180,3	148,7	157,3
169,6	144,3	156,4
172,3	152,5	156,6
184,8	162,9	162,4
177,7	167,2	166,8
184,6	166,5	162,6
211,4	185,6	168,1




Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 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 & 4 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=240&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]4 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=240&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=240&T=0

As an alternative you can also use a 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 time4 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001







Summary of Dendrogram
LabelHeight
11.14455231422596
21.17898261225515
31.43273304803851
41.56843871413581
51.73781471969828
62.03469899493758
72.17715410570773
82.29999999999999
92.86705423736629
103.11929479209644
113.17017349682947
123.19687347262916
133.33016516106934
143.47131099154195
153.61109401705355
163.66196668472012
173.70135110466435
183.81968585095685
193.89615194775563
203.92300904918661
213.96179319205448
223.97764365280496
234.07553677446297
244.24852915724963
254.25793377120876
264.33932824010154
274.50111097397076
284.59782557302907
294.76215199483011
304.8559242168716
314.90713765855412
324.95681349255749
334.95883050728698
344.99899989998
355.02493781056044
365.0653098891198
375.07346035758632
385.18941229813165
395.49577088533329
405.59016994374948
415.64712316139819
425.65773806392625
435.7835974963685
445.85832740635072
455.89067059000925
465.90004417237779
476.01247840984681
486.04400529450464
496.08938875708563
506.23546122291543
516.4899922958352
526.72160695072243
537.13372273080472
547.20840373495952
557.21905820820651
567.25003538977605
577.3068461048526
587.34166193719106
597.35934779718964
607.60750765685159
617.82879301041994
627.94303890716054
638.17190308312573
648.28378282272124
658.3096329642169
668.46167832052247
678.49176071259666
688.56854713472477
698.76811608167752
708.94027231722047
718.95907003691933
729.01435076844947
739.38172911719515
749.60993482256816
759.66912552522145
769.95914668057293
7710.1390334845092
7810.4647687046463
7910.8966634450131
8011.0727053555971
8111.0915988814809
8211.5814930954821
8311.9092326084752
8412.2212286965729
8512.4736454595802
8612.6404521746929
8712.6621043219326
8812.9626341028559
8913.1840651351
9013.9444154947607
9114.4740586190956
9214.7058405992207
9314.7779287550726
9414.9166090336643
9514.9618410211285
9615.0318254547874
9715.8249731895689
9816.4890594429390
9917.024118876666
10017.9121705667380
10117.9835839845693
10218.9031495568518
10319.8604681058242
10420.811925822747
10521.8970317623188
10623.2177616452124
10723.8209991394148
10824.8676523423354
10927.8402089145275
11028.5278851132905
11128.5964907857572
11230.8721712782153
11331.1026270264149
11434.3774955511376
11537.3135189299651
11640.0516505373312
11740.383561551453
11845.7672769399603
11945.8922304375039
12048.9701837471502
12152.5342637634169
12253.934612395509
12354.4323366256357
12454.6189226694044
12561.3221422326661
12666.3874579852863
12777.2738543924884
12886.9961096883478
129109.526485681624
130113.42315509366
131128.123558863818
132136.777663930629
133173.816295962689
134179.665006656928
135310.314633714461
136389.496792834579
137571.56692304167
138713.173595183273
1391081.20638882844
1402628.14586615085

\begin{tabular}{lllllllll}
\hline
Summary of Dendrogram \tabularnewline
Label & Height \tabularnewline
1 & 1.14455231422596 \tabularnewline
2 & 1.17898261225515 \tabularnewline
3 & 1.43273304803851 \tabularnewline
4 & 1.56843871413581 \tabularnewline
5 & 1.73781471969828 \tabularnewline
6 & 2.03469899493758 \tabularnewline
7 & 2.17715410570773 \tabularnewline
8 & 2.29999999999999 \tabularnewline
9 & 2.86705423736629 \tabularnewline
10 & 3.11929479209644 \tabularnewline
11 & 3.17017349682947 \tabularnewline
12 & 3.19687347262916 \tabularnewline
13 & 3.33016516106934 \tabularnewline
14 & 3.47131099154195 \tabularnewline
15 & 3.61109401705355 \tabularnewline
16 & 3.66196668472012 \tabularnewline
17 & 3.70135110466435 \tabularnewline
18 & 3.81968585095685 \tabularnewline
19 & 3.89615194775563 \tabularnewline
20 & 3.92300904918661 \tabularnewline
21 & 3.96179319205448 \tabularnewline
22 & 3.97764365280496 \tabularnewline
23 & 4.07553677446297 \tabularnewline
24 & 4.24852915724963 \tabularnewline
25 & 4.25793377120876 \tabularnewline
26 & 4.33932824010154 \tabularnewline
27 & 4.50111097397076 \tabularnewline
28 & 4.59782557302907 \tabularnewline
29 & 4.76215199483011 \tabularnewline
30 & 4.8559242168716 \tabularnewline
31 & 4.90713765855412 \tabularnewline
32 & 4.95681349255749 \tabularnewline
33 & 4.95883050728698 \tabularnewline
34 & 4.99899989998 \tabularnewline
35 & 5.02493781056044 \tabularnewline
36 & 5.0653098891198 \tabularnewline
37 & 5.07346035758632 \tabularnewline
38 & 5.18941229813165 \tabularnewline
39 & 5.49577088533329 \tabularnewline
40 & 5.59016994374948 \tabularnewline
41 & 5.64712316139819 \tabularnewline
42 & 5.65773806392625 \tabularnewline
43 & 5.7835974963685 \tabularnewline
44 & 5.85832740635072 \tabularnewline
45 & 5.89067059000925 \tabularnewline
46 & 5.90004417237779 \tabularnewline
47 & 6.01247840984681 \tabularnewline
48 & 6.04400529450464 \tabularnewline
49 & 6.08938875708563 \tabularnewline
50 & 6.23546122291543 \tabularnewline
51 & 6.4899922958352 \tabularnewline
52 & 6.72160695072243 \tabularnewline
53 & 7.13372273080472 \tabularnewline
54 & 7.20840373495952 \tabularnewline
55 & 7.21905820820651 \tabularnewline
56 & 7.25003538977605 \tabularnewline
57 & 7.3068461048526 \tabularnewline
58 & 7.34166193719106 \tabularnewline
59 & 7.35934779718964 \tabularnewline
60 & 7.60750765685159 \tabularnewline
61 & 7.82879301041994 \tabularnewline
62 & 7.94303890716054 \tabularnewline
63 & 8.17190308312573 \tabularnewline
64 & 8.28378282272124 \tabularnewline
65 & 8.3096329642169 \tabularnewline
66 & 8.46167832052247 \tabularnewline
67 & 8.49176071259666 \tabularnewline
68 & 8.56854713472477 \tabularnewline
69 & 8.76811608167752 \tabularnewline
70 & 8.94027231722047 \tabularnewline
71 & 8.95907003691933 \tabularnewline
72 & 9.01435076844947 \tabularnewline
73 & 9.38172911719515 \tabularnewline
74 & 9.60993482256816 \tabularnewline
75 & 9.66912552522145 \tabularnewline
76 & 9.95914668057293 \tabularnewline
77 & 10.1390334845092 \tabularnewline
78 & 10.4647687046463 \tabularnewline
79 & 10.8966634450131 \tabularnewline
80 & 11.0727053555971 \tabularnewline
81 & 11.0915988814809 \tabularnewline
82 & 11.5814930954821 \tabularnewline
83 & 11.9092326084752 \tabularnewline
84 & 12.2212286965729 \tabularnewline
85 & 12.4736454595802 \tabularnewline
86 & 12.6404521746929 \tabularnewline
87 & 12.6621043219326 \tabularnewline
88 & 12.9626341028559 \tabularnewline
89 & 13.1840651351 \tabularnewline
90 & 13.9444154947607 \tabularnewline
91 & 14.4740586190956 \tabularnewline
92 & 14.7058405992207 \tabularnewline
93 & 14.7779287550726 \tabularnewline
94 & 14.9166090336643 \tabularnewline
95 & 14.9618410211285 \tabularnewline
96 & 15.0318254547874 \tabularnewline
97 & 15.8249731895689 \tabularnewline
98 & 16.4890594429390 \tabularnewline
99 & 17.024118876666 \tabularnewline
100 & 17.9121705667380 \tabularnewline
101 & 17.9835839845693 \tabularnewline
102 & 18.9031495568518 \tabularnewline
103 & 19.8604681058242 \tabularnewline
104 & 20.811925822747 \tabularnewline
105 & 21.8970317623188 \tabularnewline
106 & 23.2177616452124 \tabularnewline
107 & 23.8209991394148 \tabularnewline
108 & 24.8676523423354 \tabularnewline
109 & 27.8402089145275 \tabularnewline
110 & 28.5278851132905 \tabularnewline
111 & 28.5964907857572 \tabularnewline
112 & 30.8721712782153 \tabularnewline
113 & 31.1026270264149 \tabularnewline
114 & 34.3774955511376 \tabularnewline
115 & 37.3135189299651 \tabularnewline
116 & 40.0516505373312 \tabularnewline
117 & 40.383561551453 \tabularnewline
118 & 45.7672769399603 \tabularnewline
119 & 45.8922304375039 \tabularnewline
120 & 48.9701837471502 \tabularnewline
121 & 52.5342637634169 \tabularnewline
122 & 53.934612395509 \tabularnewline
123 & 54.4323366256357 \tabularnewline
124 & 54.6189226694044 \tabularnewline
125 & 61.3221422326661 \tabularnewline
126 & 66.3874579852863 \tabularnewline
127 & 77.2738543924884 \tabularnewline
128 & 86.9961096883478 \tabularnewline
129 & 109.526485681624 \tabularnewline
130 & 113.42315509366 \tabularnewline
131 & 128.123558863818 \tabularnewline
132 & 136.777663930629 \tabularnewline
133 & 173.816295962689 \tabularnewline
134 & 179.665006656928 \tabularnewline
135 & 310.314633714461 \tabularnewline
136 & 389.496792834579 \tabularnewline
137 & 571.56692304167 \tabularnewline
138 & 713.173595183273 \tabularnewline
139 & 1081.20638882844 \tabularnewline
140 & 2628.14586615085 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=240&T=1

[TABLE]
[ROW][C]Summary of Dendrogram[/C][/ROW]
[ROW][C]Label[/C][C]Height[/C][/ROW]
[ROW][C]1[/C][C]1.14455231422596[/C][/ROW]
[ROW][C]2[/C][C]1.17898261225515[/C][/ROW]
[ROW][C]3[/C][C]1.43273304803851[/C][/ROW]
[ROW][C]4[/C][C]1.56843871413581[/C][/ROW]
[ROW][C]5[/C][C]1.73781471969828[/C][/ROW]
[ROW][C]6[/C][C]2.03469899493758[/C][/ROW]
[ROW][C]7[/C][C]2.17715410570773[/C][/ROW]
[ROW][C]8[/C][C]2.29999999999999[/C][/ROW]
[ROW][C]9[/C][C]2.86705423736629[/C][/ROW]
[ROW][C]10[/C][C]3.11929479209644[/C][/ROW]
[ROW][C]11[/C][C]3.17017349682947[/C][/ROW]
[ROW][C]12[/C][C]3.19687347262916[/C][/ROW]
[ROW][C]13[/C][C]3.33016516106934[/C][/ROW]
[ROW][C]14[/C][C]3.47131099154195[/C][/ROW]
[ROW][C]15[/C][C]3.61109401705355[/C][/ROW]
[ROW][C]16[/C][C]3.66196668472012[/C][/ROW]
[ROW][C]17[/C][C]3.70135110466435[/C][/ROW]
[ROW][C]18[/C][C]3.81968585095685[/C][/ROW]
[ROW][C]19[/C][C]3.89615194775563[/C][/ROW]
[ROW][C]20[/C][C]3.92300904918661[/C][/ROW]
[ROW][C]21[/C][C]3.96179319205448[/C][/ROW]
[ROW][C]22[/C][C]3.97764365280496[/C][/ROW]
[ROW][C]23[/C][C]4.07553677446297[/C][/ROW]
[ROW][C]24[/C][C]4.24852915724963[/C][/ROW]
[ROW][C]25[/C][C]4.25793377120876[/C][/ROW]
[ROW][C]26[/C][C]4.33932824010154[/C][/ROW]
[ROW][C]27[/C][C]4.50111097397076[/C][/ROW]
[ROW][C]28[/C][C]4.59782557302907[/C][/ROW]
[ROW][C]29[/C][C]4.76215199483011[/C][/ROW]
[ROW][C]30[/C][C]4.8559242168716[/C][/ROW]
[ROW][C]31[/C][C]4.90713765855412[/C][/ROW]
[ROW][C]32[/C][C]4.95681349255749[/C][/ROW]
[ROW][C]33[/C][C]4.95883050728698[/C][/ROW]
[ROW][C]34[/C][C]4.99899989998[/C][/ROW]
[ROW][C]35[/C][C]5.02493781056044[/C][/ROW]
[ROW][C]36[/C][C]5.0653098891198[/C][/ROW]
[ROW][C]37[/C][C]5.07346035758632[/C][/ROW]
[ROW][C]38[/C][C]5.18941229813165[/C][/ROW]
[ROW][C]39[/C][C]5.49577088533329[/C][/ROW]
[ROW][C]40[/C][C]5.59016994374948[/C][/ROW]
[ROW][C]41[/C][C]5.64712316139819[/C][/ROW]
[ROW][C]42[/C][C]5.65773806392625[/C][/ROW]
[ROW][C]43[/C][C]5.7835974963685[/C][/ROW]
[ROW][C]44[/C][C]5.85832740635072[/C][/ROW]
[ROW][C]45[/C][C]5.89067059000925[/C][/ROW]
[ROW][C]46[/C][C]5.90004417237779[/C][/ROW]
[ROW][C]47[/C][C]6.01247840984681[/C][/ROW]
[ROW][C]48[/C][C]6.04400529450464[/C][/ROW]
[ROW][C]49[/C][C]6.08938875708563[/C][/ROW]
[ROW][C]50[/C][C]6.23546122291543[/C][/ROW]
[ROW][C]51[/C][C]6.4899922958352[/C][/ROW]
[ROW][C]52[/C][C]6.72160695072243[/C][/ROW]
[ROW][C]53[/C][C]7.13372273080472[/C][/ROW]
[ROW][C]54[/C][C]7.20840373495952[/C][/ROW]
[ROW][C]55[/C][C]7.21905820820651[/C][/ROW]
[ROW][C]56[/C][C]7.25003538977605[/C][/ROW]
[ROW][C]57[/C][C]7.3068461048526[/C][/ROW]
[ROW][C]58[/C][C]7.34166193719106[/C][/ROW]
[ROW][C]59[/C][C]7.35934779718964[/C][/ROW]
[ROW][C]60[/C][C]7.60750765685159[/C][/ROW]
[ROW][C]61[/C][C]7.82879301041994[/C][/ROW]
[ROW][C]62[/C][C]7.94303890716054[/C][/ROW]
[ROW][C]63[/C][C]8.17190308312573[/C][/ROW]
[ROW][C]64[/C][C]8.28378282272124[/C][/ROW]
[ROW][C]65[/C][C]8.3096329642169[/C][/ROW]
[ROW][C]66[/C][C]8.46167832052247[/C][/ROW]
[ROW][C]67[/C][C]8.49176071259666[/C][/ROW]
[ROW][C]68[/C][C]8.56854713472477[/C][/ROW]
[ROW][C]69[/C][C]8.76811608167752[/C][/ROW]
[ROW][C]70[/C][C]8.94027231722047[/C][/ROW]
[ROW][C]71[/C][C]8.95907003691933[/C][/ROW]
[ROW][C]72[/C][C]9.01435076844947[/C][/ROW]
[ROW][C]73[/C][C]9.38172911719515[/C][/ROW]
[ROW][C]74[/C][C]9.60993482256816[/C][/ROW]
[ROW][C]75[/C][C]9.66912552522145[/C][/ROW]
[ROW][C]76[/C][C]9.95914668057293[/C][/ROW]
[ROW][C]77[/C][C]10.1390334845092[/C][/ROW]
[ROW][C]78[/C][C]10.4647687046463[/C][/ROW]
[ROW][C]79[/C][C]10.8966634450131[/C][/ROW]
[ROW][C]80[/C][C]11.0727053555971[/C][/ROW]
[ROW][C]81[/C][C]11.0915988814809[/C][/ROW]
[ROW][C]82[/C][C]11.5814930954821[/C][/ROW]
[ROW][C]83[/C][C]11.9092326084752[/C][/ROW]
[ROW][C]84[/C][C]12.2212286965729[/C][/ROW]
[ROW][C]85[/C][C]12.4736454595802[/C][/ROW]
[ROW][C]86[/C][C]12.6404521746929[/C][/ROW]
[ROW][C]87[/C][C]12.6621043219326[/C][/ROW]
[ROW][C]88[/C][C]12.9626341028559[/C][/ROW]
[ROW][C]89[/C][C]13.1840651351[/C][/ROW]
[ROW][C]90[/C][C]13.9444154947607[/C][/ROW]
[ROW][C]91[/C][C]14.4740586190956[/C][/ROW]
[ROW][C]92[/C][C]14.7058405992207[/C][/ROW]
[ROW][C]93[/C][C]14.7779287550726[/C][/ROW]
[ROW][C]94[/C][C]14.9166090336643[/C][/ROW]
[ROW][C]95[/C][C]14.9618410211285[/C][/ROW]
[ROW][C]96[/C][C]15.0318254547874[/C][/ROW]
[ROW][C]97[/C][C]15.8249731895689[/C][/ROW]
[ROW][C]98[/C][C]16.4890594429390[/C][/ROW]
[ROW][C]99[/C][C]17.024118876666[/C][/ROW]
[ROW][C]100[/C][C]17.9121705667380[/C][/ROW]
[ROW][C]101[/C][C]17.9835839845693[/C][/ROW]
[ROW][C]102[/C][C]18.9031495568518[/C][/ROW]
[ROW][C]103[/C][C]19.8604681058242[/C][/ROW]
[ROW][C]104[/C][C]20.811925822747[/C][/ROW]
[ROW][C]105[/C][C]21.8970317623188[/C][/ROW]
[ROW][C]106[/C][C]23.2177616452124[/C][/ROW]
[ROW][C]107[/C][C]23.8209991394148[/C][/ROW]
[ROW][C]108[/C][C]24.8676523423354[/C][/ROW]
[ROW][C]109[/C][C]27.8402089145275[/C][/ROW]
[ROW][C]110[/C][C]28.5278851132905[/C][/ROW]
[ROW][C]111[/C][C]28.5964907857572[/C][/ROW]
[ROW][C]112[/C][C]30.8721712782153[/C][/ROW]
[ROW][C]113[/C][C]31.1026270264149[/C][/ROW]
[ROW][C]114[/C][C]34.3774955511376[/C][/ROW]
[ROW][C]115[/C][C]37.3135189299651[/C][/ROW]
[ROW][C]116[/C][C]40.0516505373312[/C][/ROW]
[ROW][C]117[/C][C]40.383561551453[/C][/ROW]
[ROW][C]118[/C][C]45.7672769399603[/C][/ROW]
[ROW][C]119[/C][C]45.8922304375039[/C][/ROW]
[ROW][C]120[/C][C]48.9701837471502[/C][/ROW]
[ROW][C]121[/C][C]52.5342637634169[/C][/ROW]
[ROW][C]122[/C][C]53.934612395509[/C][/ROW]
[ROW][C]123[/C][C]54.4323366256357[/C][/ROW]
[ROW][C]124[/C][C]54.6189226694044[/C][/ROW]
[ROW][C]125[/C][C]61.3221422326661[/C][/ROW]
[ROW][C]126[/C][C]66.3874579852863[/C][/ROW]
[ROW][C]127[/C][C]77.2738543924884[/C][/ROW]
[ROW][C]128[/C][C]86.9961096883478[/C][/ROW]
[ROW][C]129[/C][C]109.526485681624[/C][/ROW]
[ROW][C]130[/C][C]113.42315509366[/C][/ROW]
[ROW][C]131[/C][C]128.123558863818[/C][/ROW]
[ROW][C]132[/C][C]136.777663930629[/C][/ROW]
[ROW][C]133[/C][C]173.816295962689[/C][/ROW]
[ROW][C]134[/C][C]179.665006656928[/C][/ROW]
[ROW][C]135[/C][C]310.314633714461[/C][/ROW]
[ROW][C]136[/C][C]389.496792834579[/C][/ROW]
[ROW][C]137[/C][C]571.56692304167[/C][/ROW]
[ROW][C]138[/C][C]713.173595183273[/C][/ROW]
[ROW][C]139[/C][C]1081.20638882844[/C][/ROW]
[ROW][C]140[/C][C]2628.14586615085[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=240&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=240&T=1

As an alternative you can also use a QR Code:  

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

Summary of Dendrogram
LabelHeight
11.14455231422596
21.17898261225515
31.43273304803851
41.56843871413581
51.73781471969828
62.03469899493758
72.17715410570773
82.29999999999999
92.86705423736629
103.11929479209644
113.17017349682947
123.19687347262916
133.33016516106934
143.47131099154195
153.61109401705355
163.66196668472012
173.70135110466435
183.81968585095685
193.89615194775563
203.92300904918661
213.96179319205448
223.97764365280496
234.07553677446297
244.24852915724963
254.25793377120876
264.33932824010154
274.50111097397076
284.59782557302907
294.76215199483011
304.8559242168716
314.90713765855412
324.95681349255749
334.95883050728698
344.99899989998
355.02493781056044
365.0653098891198
375.07346035758632
385.18941229813165
395.49577088533329
405.59016994374948
415.64712316139819
425.65773806392625
435.7835974963685
445.85832740635072
455.89067059000925
465.90004417237779
476.01247840984681
486.04400529450464
496.08938875708563
506.23546122291543
516.4899922958352
526.72160695072243
537.13372273080472
547.20840373495952
557.21905820820651
567.25003538977605
577.3068461048526
587.34166193719106
597.35934779718964
607.60750765685159
617.82879301041994
627.94303890716054
638.17190308312573
648.28378282272124
658.3096329642169
668.46167832052247
678.49176071259666
688.56854713472477
698.76811608167752
708.94027231722047
718.95907003691933
729.01435076844947
739.38172911719515
749.60993482256816
759.66912552522145
769.95914668057293
7710.1390334845092
7810.4647687046463
7910.8966634450131
8011.0727053555971
8111.0915988814809
8211.5814930954821
8311.9092326084752
8412.2212286965729
8512.4736454595802
8612.6404521746929
8712.6621043219326
8812.9626341028559
8913.1840651351
9013.9444154947607
9114.4740586190956
9214.7058405992207
9314.7779287550726
9414.9166090336643
9514.9618410211285
9615.0318254547874
9715.8249731895689
9816.4890594429390
9917.024118876666
10017.9121705667380
10117.9835839845693
10218.9031495568518
10319.8604681058242
10420.811925822747
10521.8970317623188
10623.2177616452124
10723.8209991394148
10824.8676523423354
10927.8402089145275
11028.5278851132905
11128.5964907857572
11230.8721712782153
11331.1026270264149
11434.3774955511376
11537.3135189299651
11640.0516505373312
11740.383561551453
11845.7672769399603
11945.8922304375039
12048.9701837471502
12152.5342637634169
12253.934612395509
12354.4323366256357
12454.6189226694044
12561.3221422326661
12666.3874579852863
12777.2738543924884
12886.9961096883478
129109.526485681624
130113.42315509366
131128.123558863818
132136.777663930629
133173.816295962689
134179.665006656928
135310.314633714461
136389.496792834579
137571.56692304167
138713.173595183273
1391081.20638882844
1402628.14586615085



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')
}