Free Statistics

of Irreproducible Research!

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_hierarchicalclustering.wasp
Title produced by softwareHierarchical Clustering
Date of computationTue, 11 Nov 2008 14:15:39 -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/Nov/11/t1226438337npzp5swbyublq0l.htm/, Retrieved Mon, 20 May 2024 07:02:15 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=23983, Retrieved Mon, 20 May 2024 07:02:15 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact150
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Mean Plot] [workshop 3] [2007-10-26 12:14:28] [e9ffc5de6f8a7be62f22b142b5b6b1a8]
F R PD  [Mean Plot] [vraag 2] [2008-10-29 19:00:24] [c45c87b96bbf32ffc2144fc37d767b2e]
F R P     [Mean Plot] [vraag 4] [2008-10-29 22:25:49] [c45c87b96bbf32ffc2144fc37d767b2e]
F R PD      [Mean Plot] [taak 5] [2008-10-30 06:53:19] [c45c87b96bbf32ffc2144fc37d767b2e]
- RMPD          [Hierarchical Clustering] [] [2008-11-11 21:15:39] [c60a842d48931bd392d024d8e9ef4583] [Current]
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Post a new message
Dataseries X:
227.3	266.4	1943.2	348.3
222.9	304.4	1932.7	331.9
263.6	250.2	2243.7	375.7
208.6	219	1823.4	325.6
242	279.6	1964.6	356.8
245.6	258.8	2125.9	375.6
199.5	266.1	1819.4	295
213.6	266.1	1695.9	282.3
241.9	263.2	1985.7	359.4
242	273.1	1942.1	371.3
230.6	234.9	1866.5	345.7
193.9	277.4	1611.4	272.6
235.5	283.7	1965.5	351.7
228.3	295.9	1983.6	335.2
227.3	328.3	2093.9	362.3
215.7	350.5	2000.1	354.1
219.3	379.9	2011.4	363.5
218	308.8	1984.1	373.8
215.4	324	1929.8	341.4
193.6	340.5	1743.7	286.2
225.7	343.6	2042.1	377
235.8	450.5	2202.8	403.9
211.9	377.2	1891.1	355.8
199.1	383.6	1791.5	291.5
222.5	355.2	2092.9	363
217.9	336	2166.8	349.2
229	388	2279.1	378.8
244.3	393.1	2413.5	401.6
220.8	343.2	2182.4	373.2
234.3	380.5	2330.8	403.9
215.2	408.2	2367.8	382
201.7	342.2	2141	313.3
258.6	356.7	2489.7	420.5
271	403.3	2587.1	450.4
228.7	298.7	2276	375.1
230.3	348	2271.5	343
243.9	340.3	2496.1	405.5
231.3	313.4	2389.1	403.3
276.6	278.7	2673	464.3
256.9	298.7	2489.3	439.6
238	295.8	2362.1	409.5
256.7	292.1	2738.4	449.1
233.8	363.2	2416.5	408.3
199.9	261.2	2251.7	339.4
263.9	259.3	2538.8	443.8
255.6	288.8	2528.8	441.1
237.7	284.5	2279.9	399.7
229.2	257.4	2151.3	348.2
223.9	231.7	2360.5	390.5
235.2	293	2336.1	388.6
290.2	349.3	2820.8	466.7
269.6	310.8	2517.2	440.9
246.3	361.7	2420.6	412.9
287.7	475.9	2777.1	478.1
234.3	422.7	2692.2	421.7
238.3	458.4	2352.1	384
296.7	435.3	2822.6	514.2
282.5	440.7	2819.6	499.3
292.5	382.5	2833.1	469.5
298.9	489.3	2782.3	422.3
284.7	552.9	2664.2	456
309.5	651.5	2799.4	492.2
356.3	643.5	3309.4	549.8
302.6	587.9	2711.5	472.5
345.3	722.9	3061.1	545.2
353.9	566	2865.3	505
297.2	760.6	2639.4	462.8
299.6	642.4	2710.1	439.3
355.8	903.1	3286.8	524.5
348.3	1025.5	3165.4	558
340.5	792.6	2993.4	546.2
310.1	758.4	2737	435.7
323.5	744	3028.9	514
307.9	653.1	3094.9	497.4
354.5	549	3309.4	557.8
298	575.2	2979.6	504.8
306.6	736	3155.8	525.6
302.3	716.4	3138.1	538.1
291.7	747.2	2915.4	480.1
280.7	708.3	2725.1	435.7
311.5	810.4	2912.1	494.1
334	704.1	3266.9	550.1
320.8	619.4	2966.7	491.7
266.4	573.4	2625.1	380.6
318.9	514.4	3156.5	458.3
306.4	507.2	3022	460.3
338.9	608.1	3281.6	511
330.3	632.7	3412.7	521
314.4	715.3	3254	503.7
316	617	3188.1	517.7
310	690.8	3357.6	489.4
272.4	608.5	2851.7	429.4
327.6	712.3	3250.6	515.5
343.9	746.5	3519.2	563.9
315.8	676.4	3181.6	487.8
279.8	681.7	2856.5	384.8
323.7	628.9	3338	490.6
300.6	642.4	3318	483.9
326.8	776	3636	499.8
314.7	767.8	3368	515.3
293.1	611.8	3188	483.4
313.9	716.7	3214.1	521.9
304.7	718.4	3459.2	507.7
269.9	638.1	2821.4	402.5
332.2	630.2	3389.5	537.5
346.5	712.5	3562	572.9
295.8	591.1	3079.1	475
297.9	728.4	3082.9	423.7
304.3	557.3	3127.4	496.1
306.7	597.9	3344.9	507.6
359.2	706.4	3866.1	605.1
325.3	712.6	3460.2	545.3
302.4	711.3	3313.9	506
351.2	553.3	3827.1	599.9
310.8	762.1	3492.5	542.1
289.6	833.1	3287.4	459.3
355.8	798.4	3826.3	599.1
335.5	885.7	4133.4	572.4
332	880.3	3971.7	540.8
310.7	850.8	3588.5	475.9
297.1	747.4	3588.8	532.8
291.9	801	3569.6	538.1
326	983.8	4222.7	599.4
311.8	1004.2	3999.1	588.5
294.5	870.4	3924.7	563.9
330	846.5	3923	619
297.7	889.9	3748.4	537.1
290.3	1103.9	3680.1	503.3
338	1200.9	4146	623.1
319	1182.2	4009.8	595.7
316.3	1073.9	4071.2	611
304.3	1029.8	3651	511.2
305.6	986.4	4073.8	571.9
304	1071.3	3810.6	563.5
353.8	1251.2	4437.9	659.1
308.7	1114.6	3901.6	577.1
325.2	1197.5	4238.9	631.6
337.2	1305.5	4330.3	662.4
304.6	1279.9	3894.1	576.6
320.8	1109.9	4113.9	540.3
327.1	1024.9	4267.9	669.7
360.4	1024.6	4382.2	697.5
346.3	815.2	4277.8	656.5
325.2	853.8	3822.8	525.9
322.9	952.3	4384.2	644.7
337	967.7	4160.6	632
367.8	1065.7	4858.7	732.3
329.7	994.1	4252.6	661.8
333.7	1150	4488.3	683.4
338.1	1110.6	4484.6	736.5
331.1	1129.7	4560.5	662
316	1142.7	4472.2	614.6
343.1	1225.7	4128.9	672.7
374.4	1527.6	4696.4	779.6
343.7	1345.5	4448.7	689.5
283	1508.5	3599.4	521.3
362.7	1608.3	5335.2	718
359.2	1437.8	5031.5	708.8
337.4	1501.2	4998.7	685.2
389.9	1419.3	5439.7	771.1
326.2	1440.7	4797.4	666.3
348.1	1619.2	5110.3	677.9




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time6 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\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 & 6 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=23983&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]6 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=23983&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=23983&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 computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time6 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001







Summary of Dendrogram
LabelHeight
19.26714627056248
214.0167756634684
318.2767612010444
421.4897650056952
523.2178810402673
627.3521479960898
727.4045616640734
828.1280998291744
928.5411982929941
1028.641752739663
1129.5328630511844
1229.6582197712539
1330.0501247917542
1433.0661458292315
1533.4976118551756
1634.0697813318489
1735.1258047106464
1835.382198914143
1935.5901671813999
2039.6542007316865
2139.7984817218063
2240.8269518823045
2341.5686179707722
2441.9846400484749
2543.2753971674437
2649.6627782726182
2750.2405214941086
2850.2702695437372
2950.4239102485223
3050.6049973637775
3151.6067824999775
3253.0235796603737
3353.5113512281797
3454.136217082467
3554.2318172293719
3654.5958789653578
3754.7579218013247
3855.1044023998453
3957.4171577143977
4058.254785211174
4158.6999148210626
4259.1264209384547
4359.2956996754403
4461.6215206331447
4561.9209173058669
4663.1885274397182
4763.6784893036889
4864.8135016798198
4965.1680136263182
5066.3703246940981
5167.7729296991062
5271.3005610076107
5371.9639098056433
5472.7968405907834
5573.7605704822675
5674.4633565816855
5774.5679555841516
5875.6366755623313
5976.6300814377739
6078.278988240779
6178.8094537476313
6280.3887409260778
6381.2159467099905
6484.2338108124064
6585.2402233100083
6686.6523145874014
6787.8650101007222
6888.0347658598579
6990.0707461471409
7090.2110303676884
7190.2357935447473
7290.5827109364187
7390.6422302174045
7492.334407250474
7593.7097723430789
7695.8032613113108
7797.0843962745816
7897.1623917362954
79100.176344513064
80100.476863008356
81101.798526511929
82102.088324033087
83109.867274807102
84111.982625082499
85116.335033416422
86116.588807353022
87117.423421854415
88118.519092288524
89124.787684710326
90128.886701463785
91130.203175532848
92132.129517201561
93132.160325101495
94133.108722972760
95135.597717636205
96136.18664631224
97136.503540726495
98138.475475866638
99139.936240913109
100141.732328939448
101145.792864729974
102159.146279047633
103174.830288442951
104178.745229049989
105181.418687019833
106182.798607262737
107191.090558942378
108192.860493370076
109193.044290732458
110200.95397523742
111204.866784145389
112211.841684174348
113216.182632471819
114223.776657914993
115224.055127145085
116226.339249735345
117226.464038532615
118229.374991552325
119230.451785660630
120234.157701689311
121243.73549837299
122248.491408137433
123265.035837946888
124277.067497065626
125301.957082497688
126336.434339327839
127339.453606303361
128354.632556108183
129354.801054682285
130357.617766933067
131364.674510808159
132407.944308888872
133410.173187236708
134423.818008658448
135458.136974059843
136461.985747662481
137476.455727933872
138493.590847138328
139503.382466886695
140526.068394119978
141617.369546076642
142630.162888675591
143705.083580091815
144764.964262746911
145842.43132968759
146885.5493048525
147984.479080707386
1481053.42439895782
1491194.05320304138
1501523.93122178635
1511580.09550205377
1521776.92841878408
1531937.68181095058
1542023.03361175798
1553038.44136331821
1564406.74087107895
1576466.28998942215
1588957.00273914894
15910012.6599250631
16038622.1209895936
16169987.8065116257

\begin{tabular}{lllllllll}
\hline
Summary of Dendrogram \tabularnewline
Label & Height \tabularnewline
1 & 9.26714627056248 \tabularnewline
2 & 14.0167756634684 \tabularnewline
3 & 18.2767612010444 \tabularnewline
4 & 21.4897650056952 \tabularnewline
5 & 23.2178810402673 \tabularnewline
6 & 27.3521479960898 \tabularnewline
7 & 27.4045616640734 \tabularnewline
8 & 28.1280998291744 \tabularnewline
9 & 28.5411982929941 \tabularnewline
10 & 28.641752739663 \tabularnewline
11 & 29.5328630511844 \tabularnewline
12 & 29.6582197712539 \tabularnewline
13 & 30.0501247917542 \tabularnewline
14 & 33.0661458292315 \tabularnewline
15 & 33.4976118551756 \tabularnewline
16 & 34.0697813318489 \tabularnewline
17 & 35.1258047106464 \tabularnewline
18 & 35.382198914143 \tabularnewline
19 & 35.5901671813999 \tabularnewline
20 & 39.6542007316865 \tabularnewline
21 & 39.7984817218063 \tabularnewline
22 & 40.8269518823045 \tabularnewline
23 & 41.5686179707722 \tabularnewline
24 & 41.9846400484749 \tabularnewline
25 & 43.2753971674437 \tabularnewline
26 & 49.6627782726182 \tabularnewline
27 & 50.2405214941086 \tabularnewline
28 & 50.2702695437372 \tabularnewline
29 & 50.4239102485223 \tabularnewline
30 & 50.6049973637775 \tabularnewline
31 & 51.6067824999775 \tabularnewline
32 & 53.0235796603737 \tabularnewline
33 & 53.5113512281797 \tabularnewline
34 & 54.136217082467 \tabularnewline
35 & 54.2318172293719 \tabularnewline
36 & 54.5958789653578 \tabularnewline
37 & 54.7579218013247 \tabularnewline
38 & 55.1044023998453 \tabularnewline
39 & 57.4171577143977 \tabularnewline
40 & 58.254785211174 \tabularnewline
41 & 58.6999148210626 \tabularnewline
42 & 59.1264209384547 \tabularnewline
43 & 59.2956996754403 \tabularnewline
44 & 61.6215206331447 \tabularnewline
45 & 61.9209173058669 \tabularnewline
46 & 63.1885274397182 \tabularnewline
47 & 63.6784893036889 \tabularnewline
48 & 64.8135016798198 \tabularnewline
49 & 65.1680136263182 \tabularnewline
50 & 66.3703246940981 \tabularnewline
51 & 67.7729296991062 \tabularnewline
52 & 71.3005610076107 \tabularnewline
53 & 71.9639098056433 \tabularnewline
54 & 72.7968405907834 \tabularnewline
55 & 73.7605704822675 \tabularnewline
56 & 74.4633565816855 \tabularnewline
57 & 74.5679555841516 \tabularnewline
58 & 75.6366755623313 \tabularnewline
59 & 76.6300814377739 \tabularnewline
60 & 78.278988240779 \tabularnewline
61 & 78.8094537476313 \tabularnewline
62 & 80.3887409260778 \tabularnewline
63 & 81.2159467099905 \tabularnewline
64 & 84.2338108124064 \tabularnewline
65 & 85.2402233100083 \tabularnewline
66 & 86.6523145874014 \tabularnewline
67 & 87.8650101007222 \tabularnewline
68 & 88.0347658598579 \tabularnewline
69 & 90.0707461471409 \tabularnewline
70 & 90.2110303676884 \tabularnewline
71 & 90.2357935447473 \tabularnewline
72 & 90.5827109364187 \tabularnewline
73 & 90.6422302174045 \tabularnewline
74 & 92.334407250474 \tabularnewline
75 & 93.7097723430789 \tabularnewline
76 & 95.8032613113108 \tabularnewline
77 & 97.0843962745816 \tabularnewline
78 & 97.1623917362954 \tabularnewline
79 & 100.176344513064 \tabularnewline
80 & 100.476863008356 \tabularnewline
81 & 101.798526511929 \tabularnewline
82 & 102.088324033087 \tabularnewline
83 & 109.867274807102 \tabularnewline
84 & 111.982625082499 \tabularnewline
85 & 116.335033416422 \tabularnewline
86 & 116.588807353022 \tabularnewline
87 & 117.423421854415 \tabularnewline
88 & 118.519092288524 \tabularnewline
89 & 124.787684710326 \tabularnewline
90 & 128.886701463785 \tabularnewline
91 & 130.203175532848 \tabularnewline
92 & 132.129517201561 \tabularnewline
93 & 132.160325101495 \tabularnewline
94 & 133.108722972760 \tabularnewline
95 & 135.597717636205 \tabularnewline
96 & 136.18664631224 \tabularnewline
97 & 136.503540726495 \tabularnewline
98 & 138.475475866638 \tabularnewline
99 & 139.936240913109 \tabularnewline
100 & 141.732328939448 \tabularnewline
101 & 145.792864729974 \tabularnewline
102 & 159.146279047633 \tabularnewline
103 & 174.830288442951 \tabularnewline
104 & 178.745229049989 \tabularnewline
105 & 181.418687019833 \tabularnewline
106 & 182.798607262737 \tabularnewline
107 & 191.090558942378 \tabularnewline
108 & 192.860493370076 \tabularnewline
109 & 193.044290732458 \tabularnewline
110 & 200.95397523742 \tabularnewline
111 & 204.866784145389 \tabularnewline
112 & 211.841684174348 \tabularnewline
113 & 216.182632471819 \tabularnewline
114 & 223.776657914993 \tabularnewline
115 & 224.055127145085 \tabularnewline
116 & 226.339249735345 \tabularnewline
117 & 226.464038532615 \tabularnewline
118 & 229.374991552325 \tabularnewline
119 & 230.451785660630 \tabularnewline
120 & 234.157701689311 \tabularnewline
121 & 243.73549837299 \tabularnewline
122 & 248.491408137433 \tabularnewline
123 & 265.035837946888 \tabularnewline
124 & 277.067497065626 \tabularnewline
125 & 301.957082497688 \tabularnewline
126 & 336.434339327839 \tabularnewline
127 & 339.453606303361 \tabularnewline
128 & 354.632556108183 \tabularnewline
129 & 354.801054682285 \tabularnewline
130 & 357.617766933067 \tabularnewline
131 & 364.674510808159 \tabularnewline
132 & 407.944308888872 \tabularnewline
133 & 410.173187236708 \tabularnewline
134 & 423.818008658448 \tabularnewline
135 & 458.136974059843 \tabularnewline
136 & 461.985747662481 \tabularnewline
137 & 476.455727933872 \tabularnewline
138 & 493.590847138328 \tabularnewline
139 & 503.382466886695 \tabularnewline
140 & 526.068394119978 \tabularnewline
141 & 617.369546076642 \tabularnewline
142 & 630.162888675591 \tabularnewline
143 & 705.083580091815 \tabularnewline
144 & 764.964262746911 \tabularnewline
145 & 842.43132968759 \tabularnewline
146 & 885.5493048525 \tabularnewline
147 & 984.479080707386 \tabularnewline
148 & 1053.42439895782 \tabularnewline
149 & 1194.05320304138 \tabularnewline
150 & 1523.93122178635 \tabularnewline
151 & 1580.09550205377 \tabularnewline
152 & 1776.92841878408 \tabularnewline
153 & 1937.68181095058 \tabularnewline
154 & 2023.03361175798 \tabularnewline
155 & 3038.44136331821 \tabularnewline
156 & 4406.74087107895 \tabularnewline
157 & 6466.28998942215 \tabularnewline
158 & 8957.00273914894 \tabularnewline
159 & 10012.6599250631 \tabularnewline
160 & 38622.1209895936 \tabularnewline
161 & 69987.8065116257 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=23983&T=1

[TABLE]
[ROW][C]Summary of Dendrogram[/C][/ROW]
[ROW][C]Label[/C][C]Height[/C][/ROW]
[ROW][C]1[/C][C]9.26714627056248[/C][/ROW]
[ROW][C]2[/C][C]14.0167756634684[/C][/ROW]
[ROW][C]3[/C][C]18.2767612010444[/C][/ROW]
[ROW][C]4[/C][C]21.4897650056952[/C][/ROW]
[ROW][C]5[/C][C]23.2178810402673[/C][/ROW]
[ROW][C]6[/C][C]27.3521479960898[/C][/ROW]
[ROW][C]7[/C][C]27.4045616640734[/C][/ROW]
[ROW][C]8[/C][C]28.1280998291744[/C][/ROW]
[ROW][C]9[/C][C]28.5411982929941[/C][/ROW]
[ROW][C]10[/C][C]28.641752739663[/C][/ROW]
[ROW][C]11[/C][C]29.5328630511844[/C][/ROW]
[ROW][C]12[/C][C]29.6582197712539[/C][/ROW]
[ROW][C]13[/C][C]30.0501247917542[/C][/ROW]
[ROW][C]14[/C][C]33.0661458292315[/C][/ROW]
[ROW][C]15[/C][C]33.4976118551756[/C][/ROW]
[ROW][C]16[/C][C]34.0697813318489[/C][/ROW]
[ROW][C]17[/C][C]35.1258047106464[/C][/ROW]
[ROW][C]18[/C][C]35.382198914143[/C][/ROW]
[ROW][C]19[/C][C]35.5901671813999[/C][/ROW]
[ROW][C]20[/C][C]39.6542007316865[/C][/ROW]
[ROW][C]21[/C][C]39.7984817218063[/C][/ROW]
[ROW][C]22[/C][C]40.8269518823045[/C][/ROW]
[ROW][C]23[/C][C]41.5686179707722[/C][/ROW]
[ROW][C]24[/C][C]41.9846400484749[/C][/ROW]
[ROW][C]25[/C][C]43.2753971674437[/C][/ROW]
[ROW][C]26[/C][C]49.6627782726182[/C][/ROW]
[ROW][C]27[/C][C]50.2405214941086[/C][/ROW]
[ROW][C]28[/C][C]50.2702695437372[/C][/ROW]
[ROW][C]29[/C][C]50.4239102485223[/C][/ROW]
[ROW][C]30[/C][C]50.6049973637775[/C][/ROW]
[ROW][C]31[/C][C]51.6067824999775[/C][/ROW]
[ROW][C]32[/C][C]53.0235796603737[/C][/ROW]
[ROW][C]33[/C][C]53.5113512281797[/C][/ROW]
[ROW][C]34[/C][C]54.136217082467[/C][/ROW]
[ROW][C]35[/C][C]54.2318172293719[/C][/ROW]
[ROW][C]36[/C][C]54.5958789653578[/C][/ROW]
[ROW][C]37[/C][C]54.7579218013247[/C][/ROW]
[ROW][C]38[/C][C]55.1044023998453[/C][/ROW]
[ROW][C]39[/C][C]57.4171577143977[/C][/ROW]
[ROW][C]40[/C][C]58.254785211174[/C][/ROW]
[ROW][C]41[/C][C]58.6999148210626[/C][/ROW]
[ROW][C]42[/C][C]59.1264209384547[/C][/ROW]
[ROW][C]43[/C][C]59.2956996754403[/C][/ROW]
[ROW][C]44[/C][C]61.6215206331447[/C][/ROW]
[ROW][C]45[/C][C]61.9209173058669[/C][/ROW]
[ROW][C]46[/C][C]63.1885274397182[/C][/ROW]
[ROW][C]47[/C][C]63.6784893036889[/C][/ROW]
[ROW][C]48[/C][C]64.8135016798198[/C][/ROW]
[ROW][C]49[/C][C]65.1680136263182[/C][/ROW]
[ROW][C]50[/C][C]66.3703246940981[/C][/ROW]
[ROW][C]51[/C][C]67.7729296991062[/C][/ROW]
[ROW][C]52[/C][C]71.3005610076107[/C][/ROW]
[ROW][C]53[/C][C]71.9639098056433[/C][/ROW]
[ROW][C]54[/C][C]72.7968405907834[/C][/ROW]
[ROW][C]55[/C][C]73.7605704822675[/C][/ROW]
[ROW][C]56[/C][C]74.4633565816855[/C][/ROW]
[ROW][C]57[/C][C]74.5679555841516[/C][/ROW]
[ROW][C]58[/C][C]75.6366755623313[/C][/ROW]
[ROW][C]59[/C][C]76.6300814377739[/C][/ROW]
[ROW][C]60[/C][C]78.278988240779[/C][/ROW]
[ROW][C]61[/C][C]78.8094537476313[/C][/ROW]
[ROW][C]62[/C][C]80.3887409260778[/C][/ROW]
[ROW][C]63[/C][C]81.2159467099905[/C][/ROW]
[ROW][C]64[/C][C]84.2338108124064[/C][/ROW]
[ROW][C]65[/C][C]85.2402233100083[/C][/ROW]
[ROW][C]66[/C][C]86.6523145874014[/C][/ROW]
[ROW][C]67[/C][C]87.8650101007222[/C][/ROW]
[ROW][C]68[/C][C]88.0347658598579[/C][/ROW]
[ROW][C]69[/C][C]90.0707461471409[/C][/ROW]
[ROW][C]70[/C][C]90.2110303676884[/C][/ROW]
[ROW][C]71[/C][C]90.2357935447473[/C][/ROW]
[ROW][C]72[/C][C]90.5827109364187[/C][/ROW]
[ROW][C]73[/C][C]90.6422302174045[/C][/ROW]
[ROW][C]74[/C][C]92.334407250474[/C][/ROW]
[ROW][C]75[/C][C]93.7097723430789[/C][/ROW]
[ROW][C]76[/C][C]95.8032613113108[/C][/ROW]
[ROW][C]77[/C][C]97.0843962745816[/C][/ROW]
[ROW][C]78[/C][C]97.1623917362954[/C][/ROW]
[ROW][C]79[/C][C]100.176344513064[/C][/ROW]
[ROW][C]80[/C][C]100.476863008356[/C][/ROW]
[ROW][C]81[/C][C]101.798526511929[/C][/ROW]
[ROW][C]82[/C][C]102.088324033087[/C][/ROW]
[ROW][C]83[/C][C]109.867274807102[/C][/ROW]
[ROW][C]84[/C][C]111.982625082499[/C][/ROW]
[ROW][C]85[/C][C]116.335033416422[/C][/ROW]
[ROW][C]86[/C][C]116.588807353022[/C][/ROW]
[ROW][C]87[/C][C]117.423421854415[/C][/ROW]
[ROW][C]88[/C][C]118.519092288524[/C][/ROW]
[ROW][C]89[/C][C]124.787684710326[/C][/ROW]
[ROW][C]90[/C][C]128.886701463785[/C][/ROW]
[ROW][C]91[/C][C]130.203175532848[/C][/ROW]
[ROW][C]92[/C][C]132.129517201561[/C][/ROW]
[ROW][C]93[/C][C]132.160325101495[/C][/ROW]
[ROW][C]94[/C][C]133.108722972760[/C][/ROW]
[ROW][C]95[/C][C]135.597717636205[/C][/ROW]
[ROW][C]96[/C][C]136.18664631224[/C][/ROW]
[ROW][C]97[/C][C]136.503540726495[/C][/ROW]
[ROW][C]98[/C][C]138.475475866638[/C][/ROW]
[ROW][C]99[/C][C]139.936240913109[/C][/ROW]
[ROW][C]100[/C][C]141.732328939448[/C][/ROW]
[ROW][C]101[/C][C]145.792864729974[/C][/ROW]
[ROW][C]102[/C][C]159.146279047633[/C][/ROW]
[ROW][C]103[/C][C]174.830288442951[/C][/ROW]
[ROW][C]104[/C][C]178.745229049989[/C][/ROW]
[ROW][C]105[/C][C]181.418687019833[/C][/ROW]
[ROW][C]106[/C][C]182.798607262737[/C][/ROW]
[ROW][C]107[/C][C]191.090558942378[/C][/ROW]
[ROW][C]108[/C][C]192.860493370076[/C][/ROW]
[ROW][C]109[/C][C]193.044290732458[/C][/ROW]
[ROW][C]110[/C][C]200.95397523742[/C][/ROW]
[ROW][C]111[/C][C]204.866784145389[/C][/ROW]
[ROW][C]112[/C][C]211.841684174348[/C][/ROW]
[ROW][C]113[/C][C]216.182632471819[/C][/ROW]
[ROW][C]114[/C][C]223.776657914993[/C][/ROW]
[ROW][C]115[/C][C]224.055127145085[/C][/ROW]
[ROW][C]116[/C][C]226.339249735345[/C][/ROW]
[ROW][C]117[/C][C]226.464038532615[/C][/ROW]
[ROW][C]118[/C][C]229.374991552325[/C][/ROW]
[ROW][C]119[/C][C]230.451785660630[/C][/ROW]
[ROW][C]120[/C][C]234.157701689311[/C][/ROW]
[ROW][C]121[/C][C]243.73549837299[/C][/ROW]
[ROW][C]122[/C][C]248.491408137433[/C][/ROW]
[ROW][C]123[/C][C]265.035837946888[/C][/ROW]
[ROW][C]124[/C][C]277.067497065626[/C][/ROW]
[ROW][C]125[/C][C]301.957082497688[/C][/ROW]
[ROW][C]126[/C][C]336.434339327839[/C][/ROW]
[ROW][C]127[/C][C]339.453606303361[/C][/ROW]
[ROW][C]128[/C][C]354.632556108183[/C][/ROW]
[ROW][C]129[/C][C]354.801054682285[/C][/ROW]
[ROW][C]130[/C][C]357.617766933067[/C][/ROW]
[ROW][C]131[/C][C]364.674510808159[/C][/ROW]
[ROW][C]132[/C][C]407.944308888872[/C][/ROW]
[ROW][C]133[/C][C]410.173187236708[/C][/ROW]
[ROW][C]134[/C][C]423.818008658448[/C][/ROW]
[ROW][C]135[/C][C]458.136974059843[/C][/ROW]
[ROW][C]136[/C][C]461.985747662481[/C][/ROW]
[ROW][C]137[/C][C]476.455727933872[/C][/ROW]
[ROW][C]138[/C][C]493.590847138328[/C][/ROW]
[ROW][C]139[/C][C]503.382466886695[/C][/ROW]
[ROW][C]140[/C][C]526.068394119978[/C][/ROW]
[ROW][C]141[/C][C]617.369546076642[/C][/ROW]
[ROW][C]142[/C][C]630.162888675591[/C][/ROW]
[ROW][C]143[/C][C]705.083580091815[/C][/ROW]
[ROW][C]144[/C][C]764.964262746911[/C][/ROW]
[ROW][C]145[/C][C]842.43132968759[/C][/ROW]
[ROW][C]146[/C][C]885.5493048525[/C][/ROW]
[ROW][C]147[/C][C]984.479080707386[/C][/ROW]
[ROW][C]148[/C][C]1053.42439895782[/C][/ROW]
[ROW][C]149[/C][C]1194.05320304138[/C][/ROW]
[ROW][C]150[/C][C]1523.93122178635[/C][/ROW]
[ROW][C]151[/C][C]1580.09550205377[/C][/ROW]
[ROW][C]152[/C][C]1776.92841878408[/C][/ROW]
[ROW][C]153[/C][C]1937.68181095058[/C][/ROW]
[ROW][C]154[/C][C]2023.03361175798[/C][/ROW]
[ROW][C]155[/C][C]3038.44136331821[/C][/ROW]
[ROW][C]156[/C][C]4406.74087107895[/C][/ROW]
[ROW][C]157[/C][C]6466.28998942215[/C][/ROW]
[ROW][C]158[/C][C]8957.00273914894[/C][/ROW]
[ROW][C]159[/C][C]10012.6599250631[/C][/ROW]
[ROW][C]160[/C][C]38622.1209895936[/C][/ROW]
[ROW][C]161[/C][C]69987.8065116257[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=23983&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=23983&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
19.26714627056248
214.0167756634684
318.2767612010444
421.4897650056952
523.2178810402673
627.3521479960898
727.4045616640734
828.1280998291744
928.5411982929941
1028.641752739663
1129.5328630511844
1229.6582197712539
1330.0501247917542
1433.0661458292315
1533.4976118551756
1634.0697813318489
1735.1258047106464
1835.382198914143
1935.5901671813999
2039.6542007316865
2139.7984817218063
2240.8269518823045
2341.5686179707722
2441.9846400484749
2543.2753971674437
2649.6627782726182
2750.2405214941086
2850.2702695437372
2950.4239102485223
3050.6049973637775
3151.6067824999775
3253.0235796603737
3353.5113512281797
3454.136217082467
3554.2318172293719
3654.5958789653578
3754.7579218013247
3855.1044023998453
3957.4171577143977
4058.254785211174
4158.6999148210626
4259.1264209384547
4359.2956996754403
4461.6215206331447
4561.9209173058669
4663.1885274397182
4763.6784893036889
4864.8135016798198
4965.1680136263182
5066.3703246940981
5167.7729296991062
5271.3005610076107
5371.9639098056433
5472.7968405907834
5573.7605704822675
5674.4633565816855
5774.5679555841516
5875.6366755623313
5976.6300814377739
6078.278988240779
6178.8094537476313
6280.3887409260778
6381.2159467099905
6484.2338108124064
6585.2402233100083
6686.6523145874014
6787.8650101007222
6888.0347658598579
6990.0707461471409
7090.2110303676884
7190.2357935447473
7290.5827109364187
7390.6422302174045
7492.334407250474
7593.7097723430789
7695.8032613113108
7797.0843962745816
7897.1623917362954
79100.176344513064
80100.476863008356
81101.798526511929
82102.088324033087
83109.867274807102
84111.982625082499
85116.335033416422
86116.588807353022
87117.423421854415
88118.519092288524
89124.787684710326
90128.886701463785
91130.203175532848
92132.129517201561
93132.160325101495
94133.108722972760
95135.597717636205
96136.18664631224
97136.503540726495
98138.475475866638
99139.936240913109
100141.732328939448
101145.792864729974
102159.146279047633
103174.830288442951
104178.745229049989
105181.418687019833
106182.798607262737
107191.090558942378
108192.860493370076
109193.044290732458
110200.95397523742
111204.866784145389
112211.841684174348
113216.182632471819
114223.776657914993
115224.055127145085
116226.339249735345
117226.464038532615
118229.374991552325
119230.451785660630
120234.157701689311
121243.73549837299
122248.491408137433
123265.035837946888
124277.067497065626
125301.957082497688
126336.434339327839
127339.453606303361
128354.632556108183
129354.801054682285
130357.617766933067
131364.674510808159
132407.944308888872
133410.173187236708
134423.818008658448
135458.136974059843
136461.985747662481
137476.455727933872
138493.590847138328
139503.382466886695
140526.068394119978
141617.369546076642
142630.162888675591
143705.083580091815
144764.964262746911
145842.43132968759
146885.5493048525
147984.479080707386
1481053.42439895782
1491194.05320304138
1501523.93122178635
1511580.09550205377
1521776.92841878408
1531937.68181095058
1542023.03361175798
1553038.44136331821
1564406.74087107895
1576466.28998942215
1588957.00273914894
15910012.6599250631
16038622.1209895936
16169987.8065116257



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')
}