Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_hierarchicalclustering.wasp
Title produced by softwareHierarchical Clustering
Date of computationThu, 01 Nov 2007 05:40:17 -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/01/6kwu2jxlvf13ccv1193920785.htm/, Retrieved Tue, 07 May 2024 15:57:44 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=25, Retrieved Tue, 07 May 2024 15:57:44 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact220
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Hierarchical Clustering] [Question 2_Part 4] [2007-11-01 12:40:17] [b02e81bf795a9093262ef8ec9108b703] [Current]
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Post a new message
Dataseries X:
63.1	70.9	58.4
63	73	56.8
74.9	83.9	69.4
64.7	73.2	59.6
68.5	76.7	63.6
73.9	83.1	68.4
57.3	59.8	55.9
62.5	68.2	59.1
75.7	91.1	66.2
73.5	85	66.5
71	81.6	64.5
76.1	78.8	74.5
65	73	60
66.3	74.3	61.4
74.4	81.2	70.1
71.1	79.9	65.7
71.9	79.7	67.1
75.7	83.6	70.8
64.3	68.6	61.5
62.6	666	60.1
75.3	83.5	70.1
80.3	91.8	73.2
72.2	80.5	67.1
80.3	84.7	77.4
71.3	78.7	66.9
70.7	78.4	66
77.5	83.1	74
79.2	84.8	75.8
75.4	80.7	72.2
83.4	91.8	78.2
72.9	75.3	71.4
68.4	71.8	66.3
85	93	79.9
86.2	94.3	81.2
76.7	83.7	72.2
91.2	95.6	88.4
76	82.2	72.2
77	83.4	73
87.3	93.1	83.8
83.1	88.7	79.7
81.1	84.5	79.1
88.4	95	84.3
76.7	76.6	76.8
70.9	73.4	69.3
85.9	93	81.3
84.8	91	80.9
79.6	85.3	76
89.9	89.5	90
74	76.1	72.6
74.8	76.1	73.9
91.4	91.5	91.2
84.1	85.4	83.1
80	80	80.1
92.2	94	91.1
77.3	72.6	80.1
78.1	80.8	76.3
93.6	94.1	93.2
92.9	94.9	91.6
89.8	91.9	88.5
101.8	99.2	103.2
84.8	84.7	84.9
90.8	93.7	89
106.8	106.7	106.9
92.2	93.5	91.4
101.5	104.8	99.6
101.6	103.5	100.6
86	83.1	88
89.7	89.6	89.7
106.3	105.7	106.7
107.8	110.7	106
106.7	110.4	104.4
118.1	109	123.7
100.3	106	97.1
97.5	100.9	95.5
112.9	114.3	112.2
101.3	101.2	101.4
107.8	109.2	106.9
110.3	111.6	109.5
94.6	 91.7	 96.4
93.9	 93.7	 93.9
104.8	105.7	104.2
109.4	109.5	109.2
107.6	105.3	108.9
112.3	102.8	117.9
99	 100.6	 98.2
99.9	 97.6	 101.4
111.1	110.3	111.6
111.2	107.2	113.6
109.5	107.2	110.8
111.6	108.1	113.9
102.2	97.1	105.5
94.5	92.2	95.9
114.4	112.2	115.8
116.8	111.6	119.9
110.5	115.7	107.3
121.1	111.3	126.9
106.3	104.2	107.8
104.6	103.2	105.5
117.3	112.7	120.2
112.4	106.4	116
107.5	102.6	110.4
116.9	110.6	120.8
104.9	95.2	110.7
95.9	 89	 99.9
121.5	112.5	126.8
124.1	116.8	128.6
110.7	107.2	112.9
128.1	113.6	136.6
108.9	101.8	113.3
111.2	102.6	116.3
131.9	122.7	137.5
120.5	110.3	126.7
115.4	110.5	118.5
130.8	121.6	136.4
112.6	100.3	120.2
111.1	100.7	117.2
129.5	123.4	133.3
131.8	127.1	134.8
127.7	124.1	129.9
142.6	131.2	149.5
115.8	111.6	118.5
119.5	114.2	122.8
139.8	130.1	145.7
130.6	125.9	133.6
126.2	119	130.8
141.7	133.8	146.8
118.9	107.5	126
120.3	113.5	124.4
141.2	134.4	145.5
138.9	126.8	146.3
141.3	135.6	145
153.7	139.9	162
131	129.8	132.2
136.5	131	140.2
160.1	153.1	164.8
139.8	134.1	143.7
143.8	144.1	144.2




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=25&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=25&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=25&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 time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Summary of Dendrogram
LabelHeight
10.374165738677392
20.538516480713449
30.583095189484536
40.670820393249933
50.714142842854284
60.8124038404636
70.85440037453175
80.860232526704253
90.860232526704265
100.905538513813737
111.12249721603218
121.13578166916006
131.17046999107195
141.18321595661992
151.24498995979888
161.30384048104052
171.33790881602596
181.42261335096924
191.47872543758028
201.52643375224738
211.61554944214035
221.64316767251550
231.68761049924171
241.74928556845359
251.81912731408774
261.84262697437970
271.88944436276911
281.90525588832576
291.92093727122986
301.95192212959432
311.96462607169414
322.02731349327133
332.03224014329015
342.05426385841743
352.06395140014971
362.07846096908267
372.1272180864709
382.25166604983955
392.29431639575672
402.30434372436057
412.43115407706039
422.5980762113533
432.64196896272458
442.71555484283154
452.7367864366808
462.82488937836511
472.86006992921502
482.86065945853462
492.94984860138876
502.99461951052984
513.02654919008431
523.10161248385416
533.10322412983658
543.12615081351752
553.16385840391128
563.23882694814033
573.27813173763507
583.31813200460741
593.31858994595864
603.36727200017661
613.47275107083707
623.55748167880046
633.70788046324053
643.75366487582471
653.81060606129213
663.90561046928275
673.91024295920343
684.03661768532859
694.12568755384464
704.14820800998963
714.19522298942134
724.20774133590846
734.22018956920184
744.36765120764646
754.46222235828138
764.63763650273720
774.66790393645433
784.93729211284019
795.25650857298111
805.5199464330978
815.59917681575735
825.63293884220307
836.27572627234414
846.37393214061125
856.45985763389393
866.54610133537307
876.57047913416439
886.6719704535399
896.99695467742863
907.11312953305065
917.90646451521601
928.09063900458908
938.20292090434862
948.40535543567314
959.24897064414027
969.4370036520763
979.50850961973246
989.55589800504892
999.82646926055946
10010.1157924703887
10110.2098341590839
10210.5145828829798
10310.9859480520678
10411.7058537559420
10512.6923799843177
10613.0211260523604
10714.1829740545414
10814.4033274083164
10914.9345237620756
11015.5736594020421
11116.7449310189471
11217.3304123326747
11318.1593652125811
11418.4479853948943
11520.1901928809805
11620.6502670688592
11721.7296410702179
11824.0984866865281
11926.1566290465428
12028.4695415771462
12131.9838025974555
12232.2318700750938
12338.6171959102745
12445.1556105691811
12553.0406924957227
12670.2617249344692
12770.972846781918
12895.6276192340824
129119.128871113939
130150.53772589807
131178.096843375892
132344.650678563563
133555.95442253698
134773.118810193486
1351074.17224611819
1362945.60626709007

\begin{tabular}{lllllllll}
\hline
Summary of Dendrogram \tabularnewline
Label & Height \tabularnewline
1 & 0.374165738677392 \tabularnewline
2 & 0.538516480713449 \tabularnewline
3 & 0.583095189484536 \tabularnewline
4 & 0.670820393249933 \tabularnewline
5 & 0.714142842854284 \tabularnewline
6 & 0.8124038404636 \tabularnewline
7 & 0.85440037453175 \tabularnewline
8 & 0.860232526704253 \tabularnewline
9 & 0.860232526704265 \tabularnewline
10 & 0.905538513813737 \tabularnewline
11 & 1.12249721603218 \tabularnewline
12 & 1.13578166916006 \tabularnewline
13 & 1.17046999107195 \tabularnewline
14 & 1.18321595661992 \tabularnewline
15 & 1.24498995979888 \tabularnewline
16 & 1.30384048104052 \tabularnewline
17 & 1.33790881602596 \tabularnewline
18 & 1.42261335096924 \tabularnewline
19 & 1.47872543758028 \tabularnewline
20 & 1.52643375224738 \tabularnewline
21 & 1.61554944214035 \tabularnewline
22 & 1.64316767251550 \tabularnewline
23 & 1.68761049924171 \tabularnewline
24 & 1.74928556845359 \tabularnewline
25 & 1.81912731408774 \tabularnewline
26 & 1.84262697437970 \tabularnewline
27 & 1.88944436276911 \tabularnewline
28 & 1.90525588832576 \tabularnewline
29 & 1.92093727122986 \tabularnewline
30 & 1.95192212959432 \tabularnewline
31 & 1.96462607169414 \tabularnewline
32 & 2.02731349327133 \tabularnewline
33 & 2.03224014329015 \tabularnewline
34 & 2.05426385841743 \tabularnewline
35 & 2.06395140014971 \tabularnewline
36 & 2.07846096908267 \tabularnewline
37 & 2.1272180864709 \tabularnewline
38 & 2.25166604983955 \tabularnewline
39 & 2.29431639575672 \tabularnewline
40 & 2.30434372436057 \tabularnewline
41 & 2.43115407706039 \tabularnewline
42 & 2.5980762113533 \tabularnewline
43 & 2.64196896272458 \tabularnewline
44 & 2.71555484283154 \tabularnewline
45 & 2.7367864366808 \tabularnewline
46 & 2.82488937836511 \tabularnewline
47 & 2.86006992921502 \tabularnewline
48 & 2.86065945853462 \tabularnewline
49 & 2.94984860138876 \tabularnewline
50 & 2.99461951052984 \tabularnewline
51 & 3.02654919008431 \tabularnewline
52 & 3.10161248385416 \tabularnewline
53 & 3.10322412983658 \tabularnewline
54 & 3.12615081351752 \tabularnewline
55 & 3.16385840391128 \tabularnewline
56 & 3.23882694814033 \tabularnewline
57 & 3.27813173763507 \tabularnewline
58 & 3.31813200460741 \tabularnewline
59 & 3.31858994595864 \tabularnewline
60 & 3.36727200017661 \tabularnewline
61 & 3.47275107083707 \tabularnewline
62 & 3.55748167880046 \tabularnewline
63 & 3.70788046324053 \tabularnewline
64 & 3.75366487582471 \tabularnewline
65 & 3.81060606129213 \tabularnewline
66 & 3.90561046928275 \tabularnewline
67 & 3.91024295920343 \tabularnewline
68 & 4.03661768532859 \tabularnewline
69 & 4.12568755384464 \tabularnewline
70 & 4.14820800998963 \tabularnewline
71 & 4.19522298942134 \tabularnewline
72 & 4.20774133590846 \tabularnewline
73 & 4.22018956920184 \tabularnewline
74 & 4.36765120764646 \tabularnewline
75 & 4.46222235828138 \tabularnewline
76 & 4.63763650273720 \tabularnewline
77 & 4.66790393645433 \tabularnewline
78 & 4.93729211284019 \tabularnewline
79 & 5.25650857298111 \tabularnewline
80 & 5.5199464330978 \tabularnewline
81 & 5.59917681575735 \tabularnewline
82 & 5.63293884220307 \tabularnewline
83 & 6.27572627234414 \tabularnewline
84 & 6.37393214061125 \tabularnewline
85 & 6.45985763389393 \tabularnewline
86 & 6.54610133537307 \tabularnewline
87 & 6.57047913416439 \tabularnewline
88 & 6.6719704535399 \tabularnewline
89 & 6.99695467742863 \tabularnewline
90 & 7.11312953305065 \tabularnewline
91 & 7.90646451521601 \tabularnewline
92 & 8.09063900458908 \tabularnewline
93 & 8.20292090434862 \tabularnewline
94 & 8.40535543567314 \tabularnewline
95 & 9.24897064414027 \tabularnewline
96 & 9.4370036520763 \tabularnewline
97 & 9.50850961973246 \tabularnewline
98 & 9.55589800504892 \tabularnewline
99 & 9.82646926055946 \tabularnewline
100 & 10.1157924703887 \tabularnewline
101 & 10.2098341590839 \tabularnewline
102 & 10.5145828829798 \tabularnewline
103 & 10.9859480520678 \tabularnewline
104 & 11.7058537559420 \tabularnewline
105 & 12.6923799843177 \tabularnewline
106 & 13.0211260523604 \tabularnewline
107 & 14.1829740545414 \tabularnewline
108 & 14.4033274083164 \tabularnewline
109 & 14.9345237620756 \tabularnewline
110 & 15.5736594020421 \tabularnewline
111 & 16.7449310189471 \tabularnewline
112 & 17.3304123326747 \tabularnewline
113 & 18.1593652125811 \tabularnewline
114 & 18.4479853948943 \tabularnewline
115 & 20.1901928809805 \tabularnewline
116 & 20.6502670688592 \tabularnewline
117 & 21.7296410702179 \tabularnewline
118 & 24.0984866865281 \tabularnewline
119 & 26.1566290465428 \tabularnewline
120 & 28.4695415771462 \tabularnewline
121 & 31.9838025974555 \tabularnewline
122 & 32.2318700750938 \tabularnewline
123 & 38.6171959102745 \tabularnewline
124 & 45.1556105691811 \tabularnewline
125 & 53.0406924957227 \tabularnewline
126 & 70.2617249344692 \tabularnewline
127 & 70.972846781918 \tabularnewline
128 & 95.6276192340824 \tabularnewline
129 & 119.128871113939 \tabularnewline
130 & 150.53772589807 \tabularnewline
131 & 178.096843375892 \tabularnewline
132 & 344.650678563563 \tabularnewline
133 & 555.95442253698 \tabularnewline
134 & 773.118810193486 \tabularnewline
135 & 1074.17224611819 \tabularnewline
136 & 2945.60626709007 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=25&T=1

[TABLE]
[ROW][C]Summary of Dendrogram[/C][/ROW]
[ROW][C]Label[/C][C]Height[/C][/ROW]
[ROW][C]1[/C][C]0.374165738677392[/C][/ROW]
[ROW][C]2[/C][C]0.538516480713449[/C][/ROW]
[ROW][C]3[/C][C]0.583095189484536[/C][/ROW]
[ROW][C]4[/C][C]0.670820393249933[/C][/ROW]
[ROW][C]5[/C][C]0.714142842854284[/C][/ROW]
[ROW][C]6[/C][C]0.8124038404636[/C][/ROW]
[ROW][C]7[/C][C]0.85440037453175[/C][/ROW]
[ROW][C]8[/C][C]0.860232526704253[/C][/ROW]
[ROW][C]9[/C][C]0.860232526704265[/C][/ROW]
[ROW][C]10[/C][C]0.905538513813737[/C][/ROW]
[ROW][C]11[/C][C]1.12249721603218[/C][/ROW]
[ROW][C]12[/C][C]1.13578166916006[/C][/ROW]
[ROW][C]13[/C][C]1.17046999107195[/C][/ROW]
[ROW][C]14[/C][C]1.18321595661992[/C][/ROW]
[ROW][C]15[/C][C]1.24498995979888[/C][/ROW]
[ROW][C]16[/C][C]1.30384048104052[/C][/ROW]
[ROW][C]17[/C][C]1.33790881602596[/C][/ROW]
[ROW][C]18[/C][C]1.42261335096924[/C][/ROW]
[ROW][C]19[/C][C]1.47872543758028[/C][/ROW]
[ROW][C]20[/C][C]1.52643375224738[/C][/ROW]
[ROW][C]21[/C][C]1.61554944214035[/C][/ROW]
[ROW][C]22[/C][C]1.64316767251550[/C][/ROW]
[ROW][C]23[/C][C]1.68761049924171[/C][/ROW]
[ROW][C]24[/C][C]1.74928556845359[/C][/ROW]
[ROW][C]25[/C][C]1.81912731408774[/C][/ROW]
[ROW][C]26[/C][C]1.84262697437970[/C][/ROW]
[ROW][C]27[/C][C]1.88944436276911[/C][/ROW]
[ROW][C]28[/C][C]1.90525588832576[/C][/ROW]
[ROW][C]29[/C][C]1.92093727122986[/C][/ROW]
[ROW][C]30[/C][C]1.95192212959432[/C][/ROW]
[ROW][C]31[/C][C]1.96462607169414[/C][/ROW]
[ROW][C]32[/C][C]2.02731349327133[/C][/ROW]
[ROW][C]33[/C][C]2.03224014329015[/C][/ROW]
[ROW][C]34[/C][C]2.05426385841743[/C][/ROW]
[ROW][C]35[/C][C]2.06395140014971[/C][/ROW]
[ROW][C]36[/C][C]2.07846096908267[/C][/ROW]
[ROW][C]37[/C][C]2.1272180864709[/C][/ROW]
[ROW][C]38[/C][C]2.25166604983955[/C][/ROW]
[ROW][C]39[/C][C]2.29431639575672[/C][/ROW]
[ROW][C]40[/C][C]2.30434372436057[/C][/ROW]
[ROW][C]41[/C][C]2.43115407706039[/C][/ROW]
[ROW][C]42[/C][C]2.5980762113533[/C][/ROW]
[ROW][C]43[/C][C]2.64196896272458[/C][/ROW]
[ROW][C]44[/C][C]2.71555484283154[/C][/ROW]
[ROW][C]45[/C][C]2.7367864366808[/C][/ROW]
[ROW][C]46[/C][C]2.82488937836511[/C][/ROW]
[ROW][C]47[/C][C]2.86006992921502[/C][/ROW]
[ROW][C]48[/C][C]2.86065945853462[/C][/ROW]
[ROW][C]49[/C][C]2.94984860138876[/C][/ROW]
[ROW][C]50[/C][C]2.99461951052984[/C][/ROW]
[ROW][C]51[/C][C]3.02654919008431[/C][/ROW]
[ROW][C]52[/C][C]3.10161248385416[/C][/ROW]
[ROW][C]53[/C][C]3.10322412983658[/C][/ROW]
[ROW][C]54[/C][C]3.12615081351752[/C][/ROW]
[ROW][C]55[/C][C]3.16385840391128[/C][/ROW]
[ROW][C]56[/C][C]3.23882694814033[/C][/ROW]
[ROW][C]57[/C][C]3.27813173763507[/C][/ROW]
[ROW][C]58[/C][C]3.31813200460741[/C][/ROW]
[ROW][C]59[/C][C]3.31858994595864[/C][/ROW]
[ROW][C]60[/C][C]3.36727200017661[/C][/ROW]
[ROW][C]61[/C][C]3.47275107083707[/C][/ROW]
[ROW][C]62[/C][C]3.55748167880046[/C][/ROW]
[ROW][C]63[/C][C]3.70788046324053[/C][/ROW]
[ROW][C]64[/C][C]3.75366487582471[/C][/ROW]
[ROW][C]65[/C][C]3.81060606129213[/C][/ROW]
[ROW][C]66[/C][C]3.90561046928275[/C][/ROW]
[ROW][C]67[/C][C]3.91024295920343[/C][/ROW]
[ROW][C]68[/C][C]4.03661768532859[/C][/ROW]
[ROW][C]69[/C][C]4.12568755384464[/C][/ROW]
[ROW][C]70[/C][C]4.14820800998963[/C][/ROW]
[ROW][C]71[/C][C]4.19522298942134[/C][/ROW]
[ROW][C]72[/C][C]4.20774133590846[/C][/ROW]
[ROW][C]73[/C][C]4.22018956920184[/C][/ROW]
[ROW][C]74[/C][C]4.36765120764646[/C][/ROW]
[ROW][C]75[/C][C]4.46222235828138[/C][/ROW]
[ROW][C]76[/C][C]4.63763650273720[/C][/ROW]
[ROW][C]77[/C][C]4.66790393645433[/C][/ROW]
[ROW][C]78[/C][C]4.93729211284019[/C][/ROW]
[ROW][C]79[/C][C]5.25650857298111[/C][/ROW]
[ROW][C]80[/C][C]5.5199464330978[/C][/ROW]
[ROW][C]81[/C][C]5.59917681575735[/C][/ROW]
[ROW][C]82[/C][C]5.63293884220307[/C][/ROW]
[ROW][C]83[/C][C]6.27572627234414[/C][/ROW]
[ROW][C]84[/C][C]6.37393214061125[/C][/ROW]
[ROW][C]85[/C][C]6.45985763389393[/C][/ROW]
[ROW][C]86[/C][C]6.54610133537307[/C][/ROW]
[ROW][C]87[/C][C]6.57047913416439[/C][/ROW]
[ROW][C]88[/C][C]6.6719704535399[/C][/ROW]
[ROW][C]89[/C][C]6.99695467742863[/C][/ROW]
[ROW][C]90[/C][C]7.11312953305065[/C][/ROW]
[ROW][C]91[/C][C]7.90646451521601[/C][/ROW]
[ROW][C]92[/C][C]8.09063900458908[/C][/ROW]
[ROW][C]93[/C][C]8.20292090434862[/C][/ROW]
[ROW][C]94[/C][C]8.40535543567314[/C][/ROW]
[ROW][C]95[/C][C]9.24897064414027[/C][/ROW]
[ROW][C]96[/C][C]9.4370036520763[/C][/ROW]
[ROW][C]97[/C][C]9.50850961973246[/C][/ROW]
[ROW][C]98[/C][C]9.55589800504892[/C][/ROW]
[ROW][C]99[/C][C]9.82646926055946[/C][/ROW]
[ROW][C]100[/C][C]10.1157924703887[/C][/ROW]
[ROW][C]101[/C][C]10.2098341590839[/C][/ROW]
[ROW][C]102[/C][C]10.5145828829798[/C][/ROW]
[ROW][C]103[/C][C]10.9859480520678[/C][/ROW]
[ROW][C]104[/C][C]11.7058537559420[/C][/ROW]
[ROW][C]105[/C][C]12.6923799843177[/C][/ROW]
[ROW][C]106[/C][C]13.0211260523604[/C][/ROW]
[ROW][C]107[/C][C]14.1829740545414[/C][/ROW]
[ROW][C]108[/C][C]14.4033274083164[/C][/ROW]
[ROW][C]109[/C][C]14.9345237620756[/C][/ROW]
[ROW][C]110[/C][C]15.5736594020421[/C][/ROW]
[ROW][C]111[/C][C]16.7449310189471[/C][/ROW]
[ROW][C]112[/C][C]17.3304123326747[/C][/ROW]
[ROW][C]113[/C][C]18.1593652125811[/C][/ROW]
[ROW][C]114[/C][C]18.4479853948943[/C][/ROW]
[ROW][C]115[/C][C]20.1901928809805[/C][/ROW]
[ROW][C]116[/C][C]20.6502670688592[/C][/ROW]
[ROW][C]117[/C][C]21.7296410702179[/C][/ROW]
[ROW][C]118[/C][C]24.0984866865281[/C][/ROW]
[ROW][C]119[/C][C]26.1566290465428[/C][/ROW]
[ROW][C]120[/C][C]28.4695415771462[/C][/ROW]
[ROW][C]121[/C][C]31.9838025974555[/C][/ROW]
[ROW][C]122[/C][C]32.2318700750938[/C][/ROW]
[ROW][C]123[/C][C]38.6171959102745[/C][/ROW]
[ROW][C]124[/C][C]45.1556105691811[/C][/ROW]
[ROW][C]125[/C][C]53.0406924957227[/C][/ROW]
[ROW][C]126[/C][C]70.2617249344692[/C][/ROW]
[ROW][C]127[/C][C]70.972846781918[/C][/ROW]
[ROW][C]128[/C][C]95.6276192340824[/C][/ROW]
[ROW][C]129[/C][C]119.128871113939[/C][/ROW]
[ROW][C]130[/C][C]150.53772589807[/C][/ROW]
[ROW][C]131[/C][C]178.096843375892[/C][/ROW]
[ROW][C]132[/C][C]344.650678563563[/C][/ROW]
[ROW][C]133[/C][C]555.95442253698[/C][/ROW]
[ROW][C]134[/C][C]773.118810193486[/C][/ROW]
[ROW][C]135[/C][C]1074.17224611819[/C][/ROW]
[ROW][C]136[/C][C]2945.60626709007[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=25&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=25&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
10.374165738677392
20.538516480713449
30.583095189484536
40.670820393249933
50.714142842854284
60.8124038404636
70.85440037453175
80.860232526704253
90.860232526704265
100.905538513813737
111.12249721603218
121.13578166916006
131.17046999107195
141.18321595661992
151.24498995979888
161.30384048104052
171.33790881602596
181.42261335096924
191.47872543758028
201.52643375224738
211.61554944214035
221.64316767251550
231.68761049924171
241.74928556845359
251.81912731408774
261.84262697437970
271.88944436276911
281.90525588832576
291.92093727122986
301.95192212959432
311.96462607169414
322.02731349327133
332.03224014329015
342.05426385841743
352.06395140014971
362.07846096908267
372.1272180864709
382.25166604983955
392.29431639575672
402.30434372436057
412.43115407706039
422.5980762113533
432.64196896272458
442.71555484283154
452.7367864366808
462.82488937836511
472.86006992921502
482.86065945853462
492.94984860138876
502.99461951052984
513.02654919008431
523.10161248385416
533.10322412983658
543.12615081351752
553.16385840391128
563.23882694814033
573.27813173763507
583.31813200460741
593.31858994595864
603.36727200017661
613.47275107083707
623.55748167880046
633.70788046324053
643.75366487582471
653.81060606129213
663.90561046928275
673.91024295920343
684.03661768532859
694.12568755384464
704.14820800998963
714.19522298942134
724.20774133590846
734.22018956920184
744.36765120764646
754.46222235828138
764.63763650273720
774.66790393645433
784.93729211284019
795.25650857298111
805.5199464330978
815.59917681575735
825.63293884220307
836.27572627234414
846.37393214061125
856.45985763389393
866.54610133537307
876.57047913416439
886.6719704535399
896.99695467742863
907.11312953305065
917.90646451521601
928.09063900458908
938.20292090434862
948.40535543567314
959.24897064414027
969.4370036520763
979.50850961973246
989.55589800504892
999.82646926055946
10010.1157924703887
10110.2098341590839
10210.5145828829798
10310.9859480520678
10411.7058537559420
10512.6923799843177
10613.0211260523604
10714.1829740545414
10814.4033274083164
10914.9345237620756
11015.5736594020421
11116.7449310189471
11217.3304123326747
11318.1593652125811
11418.4479853948943
11520.1901928809805
11620.6502670688592
11721.7296410702179
11824.0984866865281
11926.1566290465428
12028.4695415771462
12131.9838025974555
12232.2318700750938
12338.6171959102745
12445.1556105691811
12553.0406924957227
12670.2617249344692
12770.972846781918
12895.6276192340824
129119.128871113939
130150.53772589807
131178.096843375892
132344.650678563563
133555.95442253698
134773.118810193486
1351074.17224611819
1362945.60626709007



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')
}