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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_hierarchicalclustering.wasp
Title produced by softwareHierarchical Clustering
Date of computationSun, 06 Jan 2008 12:43:57 -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/Jan/06/t119964862642y5eu6kb8xykao.htm/, Retrieved Sat, 04 May 2024 20:59:01 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=14671, Retrieved Sat, 04 May 2024 20:59:01 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsVarious EDA topics Q2
Estimated Impact187

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Hierarchical Clustering] [CVWS5Q2] [2008-01-06 19:43:57] [b523c8d839cc24a05ea912c062a47207] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
59.9	8.6	13.5	-12.7
59.9	8.6	16.2	-2.4
59.9	8.5	17.6	7.1
60.9	8.4	15.8	-3.9
60.9	8.3	17.6	9.5
60.9	8.3	15.2	5
61.1	8.2	15.9	-16.1
61.1	8.2	12	-10.8
61.1	8.1	13.3	7
60.2	8	14.8	13.6
60.2	8	16.1	8.1
60.2	7.9	16.9	-8.1
60.1	7.8	17.6	4.9
60.1	7.8	13.9	-0.8
60.1	7.8	10	4.3
59.7	7.8	7.6	4
59.7	7.8	7.1	1.5
59.7	7.8	8.1	5.4
60.5	7.8	8.1	-11.3
60.5	7.8	7.7	-16.4
60.5	7.8	4	-2
59.5	7.9	1.4	8.9
59.5	7.9	0.3	-7.2
59.5	7.9	-1	-18
59.5	8	-1.9	1.3
59.5	8	-1.5	6.3
59.5	8	-0.2	-6
59.7	8.1	3.4	2.8
59.7	8.1	3	2
59.7	8.2	4.1	5.1
60.4	8.3	3.4	-7.6
60.4	8.3	3.2	-18.6
60.4	8.3	6.1	5.8
60	8.4	5.8	20.3
60	8.5	6.2	0.7
60	8.5	5.8	-11.2
59	8.6	5.9	-5.7
59	8.6	6.7	-0.1
59	8.7	5.9	3.4
59.3	8.6	3.8	3.3
59.3	8.7	1.7	-1.2
59.3	8.7	1.4	4.2
59.7	8.6	1.8	-8.8
59.7	8.6	3	-25.3
59.7	8.7	3.6	8.5
60.4	8.7	4.8	14.5
60.4	8.7	4.3	-3.1
60.4	8.7	4.2	-10.4
59.9	8.7	2.9	-2.9
59.9	8.7	4.9	0.3
59.9	8.8	7.2	22.6
60.5	8.8	8.7	15.4
60.5	8.8	9.1	9
60.5	8.8	8.9	29.1
60.4	8.8	9	2.8
60.4	8.8	11.6	-3.8
60.4	8.8	9.6	27.7
60.6	8.8	9.1	28.9
60.6	8.9	9.2	26.5
60.6	8.9	10.8	19.8
60.9	8.9	11	13.2
60.9	8.9	8.5	14.1
60.9	9	6.5	34.1
61	8.9	7.2	30
61	8.9	7.8	21.8
61	8.9	8.7	32.1
61.2	8.8	7.8	5.3
61.2	8.8	7.5	3
61.2	8.8	7.7	17.1
61.2	8.8	7.5	26.3
61.2	8.7	8.3	38.1
61.2	8.6	7.9	19.5
60.3	8.7	10.4	38
60.3	8.6	11.5	35.5
60.3	8.6	14	78.6
60.4	8.4	11.9	62.2
60.4	8.4	11.9	76.9
60.4	8.3	10.3	104.9
61.2	8.1	11.3	32.2
61.2	8.1	9.9	42.5
61.2	8	8.9	64.3
62.1	8	9.2	74.9
62.1	7.9	8.8	75.4
62.1	7.8	6.7	43
61.7	7.7	7.1	58.7
61.7	7.6	6.6	55.4
61.7	7.6	7.2	76.6
61.6	7.5	5	63.3
61.6	7.5	5.3	78.9
61.6	7.4	6.3	82.7

Tables (Output of Computation)





Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=14671&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]1 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=14671&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=14671&T=0

As an alternative you can also use a QR Code:  
QR Code


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

Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Summary of Dendrogram
LabelHeight
10.300000000000002
20.648074069840785
30.894427190999916
41.28452325786651
51.30384048104053
61.37840487520902
71.37840487520902
81.40907963602565
91.45602197785610
101.48660687473185
111.48996644257514
121.70536408068075
131.71172427686237
141.82897753068128
151.84390889145858
161.85741756210067
171.89472953214964
182.00748598998848
192.14009345590327
202.22671857676547
212.28691932520586
222.38327505756260
232.41660919471891
242.54797936166666
252.56594870588678
262.58069758011279
272.58069758011279
282.62106848441623
292.62654537166831
302.71108834234518
312.73130005674953
322.94844006287196
333.14506484040901
343.33916157141280
353.37490740613724
363.38661576116449
373.42397879407604
383.45148328045934
393.46265793863616
403.48134344863488
413.75956240366417
423.76961536499415
433.82192593113324
443.84189941282978
453.93064880140671
463.95937960933793
474.11766124540764
484.12663855583454
494.2537965954796
504.35545634807651
514.8474175205637
525.01597448159378
535.08008492814831
545.83974492554578
555.85402223327977
565.97067544203687
575.99439349000009
586.22552231194132
596.37622410423759
606.48245210035963
616.71956554000458
626.78682726665869
636.84106276988688
647.46080136205138
657.50461950934662
668.61614539991405
678.62052179215741
689.73718763856807
699.99829682296205
7011.2487563021847
7112.1566640279717
7212.2269262798163
7314.6273567179914
7415.1905131241842
7519.6735568521933
7620.5120658481265
7720.9911764473469
7825.4291090086481
7934.3830906949259
8035.3254006135116
8139.1237380841873
8243.9162340786723
8362.5083311668986
8483.2626851702502
8584.5140409798898
86124.373069127176
87177.789746110888
88577.903469029596
891098.118125411

\begin{tabular}{lllllllll}
\hline
Summary of Dendrogram \tabularnewline
Label & Height \tabularnewline
1 & 0.300000000000002 \tabularnewline
2 & 0.648074069840785 \tabularnewline
3 & 0.894427190999916 \tabularnewline
4 & 1.28452325786651 \tabularnewline
5 & 1.30384048104053 \tabularnewline
6 & 1.37840487520902 \tabularnewline
7 & 1.37840487520902 \tabularnewline
8 & 1.40907963602565 \tabularnewline
9 & 1.45602197785610 \tabularnewline
10 & 1.48660687473185 \tabularnewline
11 & 1.48996644257514 \tabularnewline
12 & 1.70536408068075 \tabularnewline
13 & 1.71172427686237 \tabularnewline
14 & 1.82897753068128 \tabularnewline
15 & 1.84390889145858 \tabularnewline
16 & 1.85741756210067 \tabularnewline
17 & 1.89472953214964 \tabularnewline
18 & 2.00748598998848 \tabularnewline
19 & 2.14009345590327 \tabularnewline
20 & 2.22671857676547 \tabularnewline
21 & 2.28691932520586 \tabularnewline
22 & 2.38327505756260 \tabularnewline
23 & 2.41660919471891 \tabularnewline
24 & 2.54797936166666 \tabularnewline
25 & 2.56594870588678 \tabularnewline
26 & 2.58069758011279 \tabularnewline
27 & 2.58069758011279 \tabularnewline
28 & 2.62106848441623 \tabularnewline
29 & 2.62654537166831 \tabularnewline
30 & 2.71108834234518 \tabularnewline
31 & 2.73130005674953 \tabularnewline
32 & 2.94844006287196 \tabularnewline
33 & 3.14506484040901 \tabularnewline
34 & 3.33916157141280 \tabularnewline
35 & 3.37490740613724 \tabularnewline
36 & 3.38661576116449 \tabularnewline
37 & 3.42397879407604 \tabularnewline
38 & 3.45148328045934 \tabularnewline
39 & 3.46265793863616 \tabularnewline
40 & 3.48134344863488 \tabularnewline
41 & 3.75956240366417 \tabularnewline
42 & 3.76961536499415 \tabularnewline
43 & 3.82192593113324 \tabularnewline
44 & 3.84189941282978 \tabularnewline
45 & 3.93064880140671 \tabularnewline
46 & 3.95937960933793 \tabularnewline
47 & 4.11766124540764 \tabularnewline
48 & 4.12663855583454 \tabularnewline
49 & 4.2537965954796 \tabularnewline
50 & 4.35545634807651 \tabularnewline
51 & 4.8474175205637 \tabularnewline
52 & 5.01597448159378 \tabularnewline
53 & 5.08008492814831 \tabularnewline
54 & 5.83974492554578 \tabularnewline
55 & 5.85402223327977 \tabularnewline
56 & 5.97067544203687 \tabularnewline
57 & 5.99439349000009 \tabularnewline
58 & 6.22552231194132 \tabularnewline
59 & 6.37622410423759 \tabularnewline
60 & 6.48245210035963 \tabularnewline
61 & 6.71956554000458 \tabularnewline
62 & 6.78682726665869 \tabularnewline
63 & 6.84106276988688 \tabularnewline
64 & 7.46080136205138 \tabularnewline
65 & 7.50461950934662 \tabularnewline
66 & 8.61614539991405 \tabularnewline
67 & 8.62052179215741 \tabularnewline
68 & 9.73718763856807 \tabularnewline
69 & 9.99829682296205 \tabularnewline
70 & 11.2487563021847 \tabularnewline
71 & 12.1566640279717 \tabularnewline
72 & 12.2269262798163 \tabularnewline
73 & 14.6273567179914 \tabularnewline
74 & 15.1905131241842 \tabularnewline
75 & 19.6735568521933 \tabularnewline
76 & 20.5120658481265 \tabularnewline
77 & 20.9911764473469 \tabularnewline
78 & 25.4291090086481 \tabularnewline
79 & 34.3830906949259 \tabularnewline
80 & 35.3254006135116 \tabularnewline
81 & 39.1237380841873 \tabularnewline
82 & 43.9162340786723 \tabularnewline
83 & 62.5083311668986 \tabularnewline
84 & 83.2626851702502 \tabularnewline
85 & 84.5140409798898 \tabularnewline
86 & 124.373069127176 \tabularnewline
87 & 177.789746110888 \tabularnewline
88 & 577.903469029596 \tabularnewline
89 & 1098.118125411 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=14671&T=1

[TABLE]
[ROW][C]Summary of Dendrogram[/C][/ROW]
[ROW][C]Label[/C][C]Height[/C][/ROW]
[ROW][C]1[/C][C]0.300000000000002[/C][/ROW]
[ROW][C]2[/C][C]0.648074069840785[/C][/ROW]
[ROW][C]3[/C][C]0.894427190999916[/C][/ROW]
[ROW][C]4[/C][C]1.28452325786651[/C][/ROW]
[ROW][C]5[/C][C]1.30384048104053[/C][/ROW]
[ROW][C]6[/C][C]1.37840487520902[/C][/ROW]
[ROW][C]7[/C][C]1.37840487520902[/C][/ROW]
[ROW][C]8[/C][C]1.40907963602565[/C][/ROW]
[ROW][C]9[/C][C]1.45602197785610[/C][/ROW]
[ROW][C]10[/C][C]1.48660687473185[/C][/ROW]
[ROW][C]11[/C][C]1.48996644257514[/C][/ROW]
[ROW][C]12[/C][C]1.70536408068075[/C][/ROW]
[ROW][C]13[/C][C]1.71172427686237[/C][/ROW]
[ROW][C]14[/C][C]1.82897753068128[/C][/ROW]
[ROW][C]15[/C][C]1.84390889145858[/C][/ROW]
[ROW][C]16[/C][C]1.85741756210067[/C][/ROW]
[ROW][C]17[/C][C]1.89472953214964[/C][/ROW]
[ROW][C]18[/C][C]2.00748598998848[/C][/ROW]
[ROW][C]19[/C][C]2.14009345590327[/C][/ROW]
[ROW][C]20[/C][C]2.22671857676547[/C][/ROW]
[ROW][C]21[/C][C]2.28691932520586[/C][/ROW]
[ROW][C]22[/C][C]2.38327505756260[/C][/ROW]
[ROW][C]23[/C][C]2.41660919471891[/C][/ROW]
[ROW][C]24[/C][C]2.54797936166666[/C][/ROW]
[ROW][C]25[/C][C]2.56594870588678[/C][/ROW]
[ROW][C]26[/C][C]2.58069758011279[/C][/ROW]
[ROW][C]27[/C][C]2.58069758011279[/C][/ROW]
[ROW][C]28[/C][C]2.62106848441623[/C][/ROW]
[ROW][C]29[/C][C]2.62654537166831[/C][/ROW]
[ROW][C]30[/C][C]2.71108834234518[/C][/ROW]
[ROW][C]31[/C][C]2.73130005674953[/C][/ROW]
[ROW][C]32[/C][C]2.94844006287196[/C][/ROW]
[ROW][C]33[/C][C]3.14506484040901[/C][/ROW]
[ROW][C]34[/C][C]3.33916157141280[/C][/ROW]
[ROW][C]35[/C][C]3.37490740613724[/C][/ROW]
[ROW][C]36[/C][C]3.38661576116449[/C][/ROW]
[ROW][C]37[/C][C]3.42397879407604[/C][/ROW]
[ROW][C]38[/C][C]3.45148328045934[/C][/ROW]
[ROW][C]39[/C][C]3.46265793863616[/C][/ROW]
[ROW][C]40[/C][C]3.48134344863488[/C][/ROW]
[ROW][C]41[/C][C]3.75956240366417[/C][/ROW]
[ROW][C]42[/C][C]3.76961536499415[/C][/ROW]
[ROW][C]43[/C][C]3.82192593113324[/C][/ROW]
[ROW][C]44[/C][C]3.84189941282978[/C][/ROW]
[ROW][C]45[/C][C]3.93064880140671[/C][/ROW]
[ROW][C]46[/C][C]3.95937960933793[/C][/ROW]
[ROW][C]47[/C][C]4.11766124540764[/C][/ROW]
[ROW][C]48[/C][C]4.12663855583454[/C][/ROW]
[ROW][C]49[/C][C]4.2537965954796[/C][/ROW]
[ROW][C]50[/C][C]4.35545634807651[/C][/ROW]
[ROW][C]51[/C][C]4.8474175205637[/C][/ROW]
[ROW][C]52[/C][C]5.01597448159378[/C][/ROW]
[ROW][C]53[/C][C]5.08008492814831[/C][/ROW]
[ROW][C]54[/C][C]5.83974492554578[/C][/ROW]
[ROW][C]55[/C][C]5.85402223327977[/C][/ROW]
[ROW][C]56[/C][C]5.97067544203687[/C][/ROW]
[ROW][C]57[/C][C]5.99439349000009[/C][/ROW]
[ROW][C]58[/C][C]6.22552231194132[/C][/ROW]
[ROW][C]59[/C][C]6.37622410423759[/C][/ROW]
[ROW][C]60[/C][C]6.48245210035963[/C][/ROW]
[ROW][C]61[/C][C]6.71956554000458[/C][/ROW]
[ROW][C]62[/C][C]6.78682726665869[/C][/ROW]
[ROW][C]63[/C][C]6.84106276988688[/C][/ROW]
[ROW][C]64[/C][C]7.46080136205138[/C][/ROW]
[ROW][C]65[/C][C]7.50461950934662[/C][/ROW]
[ROW][C]66[/C][C]8.61614539991405[/C][/ROW]
[ROW][C]67[/C][C]8.62052179215741[/C][/ROW]
[ROW][C]68[/C][C]9.73718763856807[/C][/ROW]
[ROW][C]69[/C][C]9.99829682296205[/C][/ROW]
[ROW][C]70[/C][C]11.2487563021847[/C][/ROW]
[ROW][C]71[/C][C]12.1566640279717[/C][/ROW]
[ROW][C]72[/C][C]12.2269262798163[/C][/ROW]
[ROW][C]73[/C][C]14.6273567179914[/C][/ROW]
[ROW][C]74[/C][C]15.1905131241842[/C][/ROW]
[ROW][C]75[/C][C]19.6735568521933[/C][/ROW]
[ROW][C]76[/C][C]20.5120658481265[/C][/ROW]
[ROW][C]77[/C][C]20.9911764473469[/C][/ROW]
[ROW][C]78[/C][C]25.4291090086481[/C][/ROW]
[ROW][C]79[/C][C]34.3830906949259[/C][/ROW]
[ROW][C]80[/C][C]35.3254006135116[/C][/ROW]
[ROW][C]81[/C][C]39.1237380841873[/C][/ROW]
[ROW][C]82[/C][C]43.9162340786723[/C][/ROW]
[ROW][C]83[/C][C]62.5083311668986[/C][/ROW]
[ROW][C]84[/C][C]83.2626851702502[/C][/ROW]
[ROW][C]85[/C][C]84.5140409798898[/C][/ROW]
[ROW][C]86[/C][C]124.373069127176[/C][/ROW]
[ROW][C]87[/C][C]177.789746110888[/C][/ROW]
[ROW][C]88[/C][C]577.903469029596[/C][/ROW]
[ROW][C]89[/C][C]1098.118125411[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=14671&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=14671&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
10.300000000000002
20.648074069840785
30.894427190999916
41.28452325786651
51.30384048104053
61.37840487520902
71.37840487520902
81.40907963602565
91.45602197785610
101.48660687473185
111.48996644257514
121.70536408068075
131.71172427686237
141.82897753068128
151.84390889145858
161.85741756210067
171.89472953214964
182.00748598998848
192.14009345590327
202.22671857676547
212.28691932520586
222.38327505756260
232.41660919471891
242.54797936166666
252.56594870588678
262.58069758011279
272.58069758011279
282.62106848441623
292.62654537166831
302.71108834234518
312.73130005674953
322.94844006287196
333.14506484040901
343.33916157141280
353.37490740613724
363.38661576116449
373.42397879407604
383.45148328045934
393.46265793863616
403.48134344863488
413.75956240366417
423.76961536499415
433.82192593113324
443.84189941282978
453.93064880140671
463.95937960933793
474.11766124540764
484.12663855583454
494.2537965954796
504.35545634807651
514.8474175205637
525.01597448159378
535.08008492814831
545.83974492554578
555.85402223327977
565.97067544203687
575.99439349000009
586.22552231194132
596.37622410423759
606.48245210035963
616.71956554000458
626.78682726665869
636.84106276988688
647.46080136205138
657.50461950934662
668.61614539991405
678.62052179215741
689.73718763856807
699.99829682296205
7011.2487563021847
7112.1566640279717
7212.2269262798163
7314.6273567179914
7415.1905131241842
7519.6735568521933
7620.5120658481265
7720.9911764473469
7825.4291090086481
7934.3830906949259
8035.3254006135116
8139.1237380841873
8243.9162340786723
8362.5083311668986
8483.2626851702502
8584.5140409798898
86124.373069127176
87177.789746110888
88577.903469029596
891098.118125411


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
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')
}