Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_hierarchicalclustering.wasp
Title produced by softwareHierarchical Clustering
Date of computationMon, 03 Dec 2007 03:53:04 -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/Dec/03/t11966785640zgilfl2pndkct8.htm/, Retrieved Fri, 03 May 2024 21:08:17 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=14349, Retrieved Fri, 03 May 2024 21:08:17 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsex012008
Estimated Impact406
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Hierarchical Clustering] [omzet, aantal en ...] [2007-12-03 10:53:04] [ef257666c09b3678397177defae7fd99] [Current]
- RMPD    [Star Plot] [starplot omzet aa...] [2008-01-13 13:40:39] [0b2d8ed757c467aee7199cdee05779c9]
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Post a new message
Dataseries X:
589	122302.01	100.01
606	109264.65	100.73
566	103674.75	100.46
487	103890.3	100.99
442	75512.66	100.8
463	83121.3	101.24
547	125096.81	101.05
432	74206.73	101.11
513	88481.63	100.86
602	111598.17	100.92
637	146919.48	101.43
913	150790.85	101.55
576	113780.5	101.49
634	110870.76	101.11
563	118785.32	100.43
513	112820.5	99.79
483	102188.92	99.09
477	97092.73	99.69
524	114067.82	100.08
470	89690.15	99.53
427	89267.9	99.58
537	96198.64	99.41
662	129599.75	99.5
1079	169424.7	100.42
816	152510.91	99.9
705	121850.2	100.02
653	144737.64	99.92
584	121381.88	99.55
508	106894.86	99.74
446	94305.06	99.76
604	116800.42	99.86
446	77584.28	99.75
512	100680.88	99.92
533	106634.05	99.86
791	168390.77	99.66
1206	211971.89	99.5
783	136163.28	99.28
567	168950.25	99.6
473	89816.88	100.15
412	85406.93	100.28
314	66055.52	100.44
323	73311.68	100.3
438	85674.51	100.87
429	82822.59	100.45
468	94277.63	100.64
518	100991.65	100.13
555	149245.88	99.9
816	208517.17	100.11
673	40733.51	99.14
593	121352.23	99.79
569	104020.11	100.31
505	99566.82	100.43
447	101352.17	100.92
433	106628.41	101.48
549	109696.95	101.64
553	248696.37	102.41
505	105628.33	102.74
601	120449.17	102.77
706	136547.7	102.37
852	140896.42	102
643	131509.91	102.45
448	95450.31	102.51
551	133592.64	102.34
476	110332.9	102.55
416	88110.54	102.25
331	64931.25	102.56
435	98446.22	102.8
395	84212.38	103.09
405	77519.55	102.65
619	124806.02	103.29
596	102185.94	104
889	151348.79	104.01
668	124378.28	103.59
555	101433.13	103.59
620	126724.22	103.84
472	87461.88	103.61
460	95288.27	103.76
417	129055.33	104.12
582	107753.06	103.95
525	96364.03	104.03
507	71662.75	104.52
750	125666.24	104.79
899	456841.51	104.91
1075	167642.32	105.1
993	167154.73	105.22
777	139685.18	105.64
675	119275.2	105.2
655	122746.05	105.19
535	107337.43	105.23
491	112584.89	105.22
686	133183.08	105.65
637	121152.57	105.93
652	119815.6	105.65
794	122858.44	106.55
859	152077.17	107.44
1049	157221.96	107.74
1022	140435.08	107.44
762	101455.09	108.2
762	104791.29	108.86
563	77226.59	108.82
573	84477.43	108.37
473	66227.74	108.35
527	89076.23	107.61
710	108924.43	107.98
630	83926.11	107.8
706	91764.8	107.44
870	120892.76	107.46
1069	129952.42	107.18
1021	135865.14	107.75
799	105512.77	108.28
694	96486.62	108.64
521	78064.88	108.52
622	92370.22	108.58
614	98454.46	108.09
661	96703.93	108.68
630	83170.95	109.18




Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time5 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 & 5 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=14349&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]5 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=14349&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=14349&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 time5 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001







Summary of Dendrogram
LabelHeight
130.9867729846223
235.1735596719982
376.677134140495
4100.172022042085
5113.145872660031
6126.767019764616
7135.002409237765
8153.541846087636
9162.488535287872
10165.889109045771
11174.405177962122
12178.757829758587
13179.267625911652
14216.337398061452
15219.801359640924
16234.527816047480
17236.697184182660
18268.840853480272
19282.994151212519
20291.991045239411
21299.579441384078
22310.827986191709
23314.78576153992
24315.944307117567
25319.317053882178
26325.819468837465
27332.115773655443
28355.834527414079
29381.579874338245
30383.560582177064
31410.480380046477
32418.280928683109
33431.248593852805
34435.93146158541
35447.345118631871
36466.463585073903
37491.69521982629
38494.437076380804
39502.542701966699
40510.001715529082
41518.801584615927
42518.880008356496
43538.594570433084
44558.461364106777
45560.588488287086
46602.655684450094
47611.220644284859
48635.358238015577
49672.932808672689
50698.179573290399
51810.694108152404
52882.498798339179
53899.275824235909
54901.662996135477
55957.81967949057
56960.055380560584
57979.996899055769
58986.581017840459
59995.750154228308
601063.91999487946
611065.93741978598
621146.23242315108
631153.09763335857
641160.12838181163
651171.08477361361
661433.91121705076
671540.92844076292
681570.28435957225
691954.6453589709
702039.55434019059
712057.21963177948
722181.34314015749
732181.89918779489
742295.77648893106
752361.90811733739
762435.00520414780
772731.45938154113
782812.47108049444
793292.05452853674
803345.47169321191
813392.08717916778
823476.6637241039
833515.21058978676
843548.42262905147
853601.36963093323
864339.21974868529
874601.51568421573
885706.47126989624
897579.79676840479
908173.86740700864
918731.50385675072
929005.70845235119
939764.13170776786
9410799.3044217961
9511112.0042775241
9611213.8103387178
9711923.8484029408
9813664.6355538191
9923353.6083186733
10029913.6730870444
10134197.2735730481
10234372.0380806422
10336587.7715432875
10440699.0939477648
10550114.6760812051
10654219.8916099705
10793983.944764424
108128796.872646762
109132559.570732984
110145600.124293717
111252102.876361324
112496163.050486097
113514824.391271528
114599686.494882499
1151568425.50235510

\begin{tabular}{lllllllll}
\hline
Summary of Dendrogram \tabularnewline
Label & Height \tabularnewline
1 & 30.9867729846223 \tabularnewline
2 & 35.1735596719982 \tabularnewline
3 & 76.677134140495 \tabularnewline
4 & 100.172022042085 \tabularnewline
5 & 113.145872660031 \tabularnewline
6 & 126.767019764616 \tabularnewline
7 & 135.002409237765 \tabularnewline
8 & 153.541846087636 \tabularnewline
9 & 162.488535287872 \tabularnewline
10 & 165.889109045771 \tabularnewline
11 & 174.405177962122 \tabularnewline
12 & 178.757829758587 \tabularnewline
13 & 179.267625911652 \tabularnewline
14 & 216.337398061452 \tabularnewline
15 & 219.801359640924 \tabularnewline
16 & 234.527816047480 \tabularnewline
17 & 236.697184182660 \tabularnewline
18 & 268.840853480272 \tabularnewline
19 & 282.994151212519 \tabularnewline
20 & 291.991045239411 \tabularnewline
21 & 299.579441384078 \tabularnewline
22 & 310.827986191709 \tabularnewline
23 & 314.78576153992 \tabularnewline
24 & 315.944307117567 \tabularnewline
25 & 319.317053882178 \tabularnewline
26 & 325.819468837465 \tabularnewline
27 & 332.115773655443 \tabularnewline
28 & 355.834527414079 \tabularnewline
29 & 381.579874338245 \tabularnewline
30 & 383.560582177064 \tabularnewline
31 & 410.480380046477 \tabularnewline
32 & 418.280928683109 \tabularnewline
33 & 431.248593852805 \tabularnewline
34 & 435.93146158541 \tabularnewline
35 & 447.345118631871 \tabularnewline
36 & 466.463585073903 \tabularnewline
37 & 491.69521982629 \tabularnewline
38 & 494.437076380804 \tabularnewline
39 & 502.542701966699 \tabularnewline
40 & 510.001715529082 \tabularnewline
41 & 518.801584615927 \tabularnewline
42 & 518.880008356496 \tabularnewline
43 & 538.594570433084 \tabularnewline
44 & 558.461364106777 \tabularnewline
45 & 560.588488287086 \tabularnewline
46 & 602.655684450094 \tabularnewline
47 & 611.220644284859 \tabularnewline
48 & 635.358238015577 \tabularnewline
49 & 672.932808672689 \tabularnewline
50 & 698.179573290399 \tabularnewline
51 & 810.694108152404 \tabularnewline
52 & 882.498798339179 \tabularnewline
53 & 899.275824235909 \tabularnewline
54 & 901.662996135477 \tabularnewline
55 & 957.81967949057 \tabularnewline
56 & 960.055380560584 \tabularnewline
57 & 979.996899055769 \tabularnewline
58 & 986.581017840459 \tabularnewline
59 & 995.750154228308 \tabularnewline
60 & 1063.91999487946 \tabularnewline
61 & 1065.93741978598 \tabularnewline
62 & 1146.23242315108 \tabularnewline
63 & 1153.09763335857 \tabularnewline
64 & 1160.12838181163 \tabularnewline
65 & 1171.08477361361 \tabularnewline
66 & 1433.91121705076 \tabularnewline
67 & 1540.92844076292 \tabularnewline
68 & 1570.28435957225 \tabularnewline
69 & 1954.6453589709 \tabularnewline
70 & 2039.55434019059 \tabularnewline
71 & 2057.21963177948 \tabularnewline
72 & 2181.34314015749 \tabularnewline
73 & 2181.89918779489 \tabularnewline
74 & 2295.77648893106 \tabularnewline
75 & 2361.90811733739 \tabularnewline
76 & 2435.00520414780 \tabularnewline
77 & 2731.45938154113 \tabularnewline
78 & 2812.47108049444 \tabularnewline
79 & 3292.05452853674 \tabularnewline
80 & 3345.47169321191 \tabularnewline
81 & 3392.08717916778 \tabularnewline
82 & 3476.6637241039 \tabularnewline
83 & 3515.21058978676 \tabularnewline
84 & 3548.42262905147 \tabularnewline
85 & 3601.36963093323 \tabularnewline
86 & 4339.21974868529 \tabularnewline
87 & 4601.51568421573 \tabularnewline
88 & 5706.47126989624 \tabularnewline
89 & 7579.79676840479 \tabularnewline
90 & 8173.86740700864 \tabularnewline
91 & 8731.50385675072 \tabularnewline
92 & 9005.70845235119 \tabularnewline
93 & 9764.13170776786 \tabularnewline
94 & 10799.3044217961 \tabularnewline
95 & 11112.0042775241 \tabularnewline
96 & 11213.8103387178 \tabularnewline
97 & 11923.8484029408 \tabularnewline
98 & 13664.6355538191 \tabularnewline
99 & 23353.6083186733 \tabularnewline
100 & 29913.6730870444 \tabularnewline
101 & 34197.2735730481 \tabularnewline
102 & 34372.0380806422 \tabularnewline
103 & 36587.7715432875 \tabularnewline
104 & 40699.0939477648 \tabularnewline
105 & 50114.6760812051 \tabularnewline
106 & 54219.8916099705 \tabularnewline
107 & 93983.944764424 \tabularnewline
108 & 128796.872646762 \tabularnewline
109 & 132559.570732984 \tabularnewline
110 & 145600.124293717 \tabularnewline
111 & 252102.876361324 \tabularnewline
112 & 496163.050486097 \tabularnewline
113 & 514824.391271528 \tabularnewline
114 & 599686.494882499 \tabularnewline
115 & 1568425.50235510 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=14349&T=1

[TABLE]
[ROW][C]Summary of Dendrogram[/C][/ROW]
[ROW][C]Label[/C][C]Height[/C][/ROW]
[ROW][C]1[/C][C]30.9867729846223[/C][/ROW]
[ROW][C]2[/C][C]35.1735596719982[/C][/ROW]
[ROW][C]3[/C][C]76.677134140495[/C][/ROW]
[ROW][C]4[/C][C]100.172022042085[/C][/ROW]
[ROW][C]5[/C][C]113.145872660031[/C][/ROW]
[ROW][C]6[/C][C]126.767019764616[/C][/ROW]
[ROW][C]7[/C][C]135.002409237765[/C][/ROW]
[ROW][C]8[/C][C]153.541846087636[/C][/ROW]
[ROW][C]9[/C][C]162.488535287872[/C][/ROW]
[ROW][C]10[/C][C]165.889109045771[/C][/ROW]
[ROW][C]11[/C][C]174.405177962122[/C][/ROW]
[ROW][C]12[/C][C]178.757829758587[/C][/ROW]
[ROW][C]13[/C][C]179.267625911652[/C][/ROW]
[ROW][C]14[/C][C]216.337398061452[/C][/ROW]
[ROW][C]15[/C][C]219.801359640924[/C][/ROW]
[ROW][C]16[/C][C]234.527816047480[/C][/ROW]
[ROW][C]17[/C][C]236.697184182660[/C][/ROW]
[ROW][C]18[/C][C]268.840853480272[/C][/ROW]
[ROW][C]19[/C][C]282.994151212519[/C][/ROW]
[ROW][C]20[/C][C]291.991045239411[/C][/ROW]
[ROW][C]21[/C][C]299.579441384078[/C][/ROW]
[ROW][C]22[/C][C]310.827986191709[/C][/ROW]
[ROW][C]23[/C][C]314.78576153992[/C][/ROW]
[ROW][C]24[/C][C]315.944307117567[/C][/ROW]
[ROW][C]25[/C][C]319.317053882178[/C][/ROW]
[ROW][C]26[/C][C]325.819468837465[/C][/ROW]
[ROW][C]27[/C][C]332.115773655443[/C][/ROW]
[ROW][C]28[/C][C]355.834527414079[/C][/ROW]
[ROW][C]29[/C][C]381.579874338245[/C][/ROW]
[ROW][C]30[/C][C]383.560582177064[/C][/ROW]
[ROW][C]31[/C][C]410.480380046477[/C][/ROW]
[ROW][C]32[/C][C]418.280928683109[/C][/ROW]
[ROW][C]33[/C][C]431.248593852805[/C][/ROW]
[ROW][C]34[/C][C]435.93146158541[/C][/ROW]
[ROW][C]35[/C][C]447.345118631871[/C][/ROW]
[ROW][C]36[/C][C]466.463585073903[/C][/ROW]
[ROW][C]37[/C][C]491.69521982629[/C][/ROW]
[ROW][C]38[/C][C]494.437076380804[/C][/ROW]
[ROW][C]39[/C][C]502.542701966699[/C][/ROW]
[ROW][C]40[/C][C]510.001715529082[/C][/ROW]
[ROW][C]41[/C][C]518.801584615927[/C][/ROW]
[ROW][C]42[/C][C]518.880008356496[/C][/ROW]
[ROW][C]43[/C][C]538.594570433084[/C][/ROW]
[ROW][C]44[/C][C]558.461364106777[/C][/ROW]
[ROW][C]45[/C][C]560.588488287086[/C][/ROW]
[ROW][C]46[/C][C]602.655684450094[/C][/ROW]
[ROW][C]47[/C][C]611.220644284859[/C][/ROW]
[ROW][C]48[/C][C]635.358238015577[/C][/ROW]
[ROW][C]49[/C][C]672.932808672689[/C][/ROW]
[ROW][C]50[/C][C]698.179573290399[/C][/ROW]
[ROW][C]51[/C][C]810.694108152404[/C][/ROW]
[ROW][C]52[/C][C]882.498798339179[/C][/ROW]
[ROW][C]53[/C][C]899.275824235909[/C][/ROW]
[ROW][C]54[/C][C]901.662996135477[/C][/ROW]
[ROW][C]55[/C][C]957.81967949057[/C][/ROW]
[ROW][C]56[/C][C]960.055380560584[/C][/ROW]
[ROW][C]57[/C][C]979.996899055769[/C][/ROW]
[ROW][C]58[/C][C]986.581017840459[/C][/ROW]
[ROW][C]59[/C][C]995.750154228308[/C][/ROW]
[ROW][C]60[/C][C]1063.91999487946[/C][/ROW]
[ROW][C]61[/C][C]1065.93741978598[/C][/ROW]
[ROW][C]62[/C][C]1146.23242315108[/C][/ROW]
[ROW][C]63[/C][C]1153.09763335857[/C][/ROW]
[ROW][C]64[/C][C]1160.12838181163[/C][/ROW]
[ROW][C]65[/C][C]1171.08477361361[/C][/ROW]
[ROW][C]66[/C][C]1433.91121705076[/C][/ROW]
[ROW][C]67[/C][C]1540.92844076292[/C][/ROW]
[ROW][C]68[/C][C]1570.28435957225[/C][/ROW]
[ROW][C]69[/C][C]1954.6453589709[/C][/ROW]
[ROW][C]70[/C][C]2039.55434019059[/C][/ROW]
[ROW][C]71[/C][C]2057.21963177948[/C][/ROW]
[ROW][C]72[/C][C]2181.34314015749[/C][/ROW]
[ROW][C]73[/C][C]2181.89918779489[/C][/ROW]
[ROW][C]74[/C][C]2295.77648893106[/C][/ROW]
[ROW][C]75[/C][C]2361.90811733739[/C][/ROW]
[ROW][C]76[/C][C]2435.00520414780[/C][/ROW]
[ROW][C]77[/C][C]2731.45938154113[/C][/ROW]
[ROW][C]78[/C][C]2812.47108049444[/C][/ROW]
[ROW][C]79[/C][C]3292.05452853674[/C][/ROW]
[ROW][C]80[/C][C]3345.47169321191[/C][/ROW]
[ROW][C]81[/C][C]3392.08717916778[/C][/ROW]
[ROW][C]82[/C][C]3476.6637241039[/C][/ROW]
[ROW][C]83[/C][C]3515.21058978676[/C][/ROW]
[ROW][C]84[/C][C]3548.42262905147[/C][/ROW]
[ROW][C]85[/C][C]3601.36963093323[/C][/ROW]
[ROW][C]86[/C][C]4339.21974868529[/C][/ROW]
[ROW][C]87[/C][C]4601.51568421573[/C][/ROW]
[ROW][C]88[/C][C]5706.47126989624[/C][/ROW]
[ROW][C]89[/C][C]7579.79676840479[/C][/ROW]
[ROW][C]90[/C][C]8173.86740700864[/C][/ROW]
[ROW][C]91[/C][C]8731.50385675072[/C][/ROW]
[ROW][C]92[/C][C]9005.70845235119[/C][/ROW]
[ROW][C]93[/C][C]9764.13170776786[/C][/ROW]
[ROW][C]94[/C][C]10799.3044217961[/C][/ROW]
[ROW][C]95[/C][C]11112.0042775241[/C][/ROW]
[ROW][C]96[/C][C]11213.8103387178[/C][/ROW]
[ROW][C]97[/C][C]11923.8484029408[/C][/ROW]
[ROW][C]98[/C][C]13664.6355538191[/C][/ROW]
[ROW][C]99[/C][C]23353.6083186733[/C][/ROW]
[ROW][C]100[/C][C]29913.6730870444[/C][/ROW]
[ROW][C]101[/C][C]34197.2735730481[/C][/ROW]
[ROW][C]102[/C][C]34372.0380806422[/C][/ROW]
[ROW][C]103[/C][C]36587.7715432875[/C][/ROW]
[ROW][C]104[/C][C]40699.0939477648[/C][/ROW]
[ROW][C]105[/C][C]50114.6760812051[/C][/ROW]
[ROW][C]106[/C][C]54219.8916099705[/C][/ROW]
[ROW][C]107[/C][C]93983.944764424[/C][/ROW]
[ROW][C]108[/C][C]128796.872646762[/C][/ROW]
[ROW][C]109[/C][C]132559.570732984[/C][/ROW]
[ROW][C]110[/C][C]145600.124293717[/C][/ROW]
[ROW][C]111[/C][C]252102.876361324[/C][/ROW]
[ROW][C]112[/C][C]496163.050486097[/C][/ROW]
[ROW][C]113[/C][C]514824.391271528[/C][/ROW]
[ROW][C]114[/C][C]599686.494882499[/C][/ROW]
[ROW][C]115[/C][C]1568425.50235510[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=14349&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=14349&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
130.9867729846223
235.1735596719982
376.677134140495
4100.172022042085
5113.145872660031
6126.767019764616
7135.002409237765
8153.541846087636
9162.488535287872
10165.889109045771
11174.405177962122
12178.757829758587
13179.267625911652
14216.337398061452
15219.801359640924
16234.527816047480
17236.697184182660
18268.840853480272
19282.994151212519
20291.991045239411
21299.579441384078
22310.827986191709
23314.78576153992
24315.944307117567
25319.317053882178
26325.819468837465
27332.115773655443
28355.834527414079
29381.579874338245
30383.560582177064
31410.480380046477
32418.280928683109
33431.248593852805
34435.93146158541
35447.345118631871
36466.463585073903
37491.69521982629
38494.437076380804
39502.542701966699
40510.001715529082
41518.801584615927
42518.880008356496
43538.594570433084
44558.461364106777
45560.588488287086
46602.655684450094
47611.220644284859
48635.358238015577
49672.932808672689
50698.179573290399
51810.694108152404
52882.498798339179
53899.275824235909
54901.662996135477
55957.81967949057
56960.055380560584
57979.996899055769
58986.581017840459
59995.750154228308
601063.91999487946
611065.93741978598
621146.23242315108
631153.09763335857
641160.12838181163
651171.08477361361
661433.91121705076
671540.92844076292
681570.28435957225
691954.6453589709
702039.55434019059
712057.21963177948
722181.34314015749
732181.89918779489
742295.77648893106
752361.90811733739
762435.00520414780
772731.45938154113
782812.47108049444
793292.05452853674
803345.47169321191
813392.08717916778
823476.6637241039
833515.21058978676
843548.42262905147
853601.36963093323
864339.21974868529
874601.51568421573
885706.47126989624
897579.79676840479
908173.86740700864
918731.50385675072
929005.70845235119
939764.13170776786
9410799.3044217961
9511112.0042775241
9611213.8103387178
9711923.8484029408
9813664.6355538191
9923353.6083186733
10029913.6730870444
10134197.2735730481
10234372.0380806422
10336587.7715432875
10440699.0939477648
10550114.6760812051
10654219.8916099705
10793983.944764424
108128796.872646762
109132559.570732984
110145600.124293717
111252102.876361324
112496163.050486097
113514824.391271528
114599686.494882499
1151568425.50235510



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')
}