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Description of Statistical Computation

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 08:09:47 -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/t1226416238r8f1u0rhf1osqah.htm/, Retrieved Sun, 19 May 2024 12:17:23 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=23573, Retrieved Sun, 19 May 2024 12:17:23 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact143

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F       [Hierarchical Clustering] [Hierarchical clus...] [2008-11-11 15:09:47] [8758b22b4a10c08c31202f233362e983] [Current]
Feedback Forum
2008-11-19 20:47:32 [Nathalie Koulouris] [reply] 
De student heeft gebruik gemaakt van de juiste berekeningsmethode maar heeft zijn antwoord niet verder toegelicht.
2008-11-21 16:04:02 [Matthieu Blondeau] [reply] 
In deze grafiek kan men meerdere grote delen onderscheiden. Dit wil zeggen dat gelijke objecten in verschillende groepen worden verdeeld. Hierdoor ontstaan subgroepen welke elk hun eigen gedeelde kenmerken bevatten.
2008-11-23 17:02:16 [Michaël De Kuyer] [reply] 
De conclusie van Matthieu is correct.

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
11008.9	3202.1	10230.4	3467.9
9996.6	3650.2	9221	3256.6
9419.5	2805.1	9428.6	3711.1
11958.8	3957.5	10934.5	3597.7
12594.6	3941.3	10986	4181.1
11890.6	3905.4	11724.6	4346.5
10871.7	3546.9	11180.9	3646.6
11835.7	3208.7	11163.2	3918.8
11542.2	3402	11240.9	3531.8
13093.7	3661.1	12107.1	3976
11180.2	3073.9	10762.3	3510.2
12035.7	3419.2	11340.4	3882.9
12112	3532.8	11266.8	3630.4
10875.2	3693.1	9542.7	3519.9
9897.3	2622.9	9227.7	3376.1
11672.1	3130.8	10571.9	3057.9
12385.7	3487.5	10774.4	3646.7
11405.6	3349.7	10392.8	3585.5
9830.9	3044.2	9920.2	3007.7
11025.1	3266	9884.9	3545
10853.8	3351.5	10174.5	3295.6
12252.6	3606.8	11395.4	3390.3
11839.4	3419.5	10760.2	3531.9
11669.1	3829.5	10570.1	3738.7
11601.4	3505.1	10536	3477
11178.4	3845.3	9902.6	3338.3
9516.4	2566.6	8889	3264.4
12102.8	3658.5	10837.3	3452.4
12989	3954	11624.1	4045.1
11610.2	3460.1	10509	3660.5
10205.5	3454.1	10984.9	3584.9
11356.2	3412.8	10649.1	3819.9
11307.1	3418	10855.7	3409.2
12648.6	3349.5	11677.4	3643.5
11947.2	3423.4	10760.2	3673.3
11714.1	3242.8	10046.2	3645.2
12192.5	3277.2	10772.8	3421.3
11268.8	3833	9987.7	3531.4
9097.4	2606.3	8638.7	3219.2
12639.8	3643.8	11063.7	3552.3
13040.1	3686.4	11855.7	3787.7
11687.3	3281.6	10684.5	3392.7
11191.7	3669.3	11337.4	3550
11391.9	3191.5	10478	3681.9
11793.1	3512.7	11123.9	3519.1
13933.2	3970.7	12909.3	4283.2
12778.1	3601.2	11339.9	4046.2
11810.3	3610	10462.2	3824.9
13698.4	4172.1	12733.5	4793.1
11956.6	3956.2	10519.2	3977.7
10723.8	3142.7	10414.9	3983.4
13938.9	3884.3	12476.8	4152.9
13979.8	3892.2	12384.6	4286.1
13807.4	3613	12266.7	4348.1
12973.9	3730.5	12919.9	3949.3
12509.8	3481.3	11497.3	4166.7
12934.1	3649.5	12142	4217.9
14908.3	4215.2	13919.4	4528.2
13772.1	4066.6	12656.8	4232.2
13012.6	4196.8	12034.1	4470.9
14049.9	4536.6	13199.7	5121.2
11816.5	4441.6	10881.3	4170.8
11593.2	3548.3	11301.2	4398.6
14466.2	4735.9	13643.9	4491.4
13615.9	4130.6	12517	4251.8
14733.9	4356.2	13981.1	4901.9
13880.7	4159.6	14275.7	4745.2
13527.5	3988	13435	4666.9
13584	4167.8	13565.7	4210.4
16170.2	4902.2	16216.3	5273.6
13260.6	3909.4	12970	4095.3
14741.9	4697.6	14079.9	4610.1
15486.5	4308.9	14235	4718.1
13154.5	4420.4	12213.4	4185.5
12621.2	3544.2	12581	4314.7
15031.6	4433	14130.4	4422.6
15452.4	4479.7	14210.8	5059.2
15428	4533.2	14378.5	5043.6
13105.9	4237.5	13142.8	4436.6
14716.8	4207.4	13714.7	4922.6
14180	4394	13621.9	4454.8
16202.2	5148.4	15379.8	5058.7
14392.4	4202.2	13306.3	4768.9
15140.6	4682.5	14391.2	5171.8
15960.1	4884.3	14909.9	4989.3
14351.3	5288.9	14025.4	5202.1
13230.2	4505.2	12951.2	4838.4
15202.1	4611.5	14344.3	4876.5
17157.3	5081.1	16213.3	5845.3
16159.1	4523.1	15544.5	5686.3
13405.7	4412.8	14750.6	4753.8
17224.7	4647.4	17292.7	6620.4
17338.4	4778.6	17568.5	5597.2
17370.6	4495.3	17930.8	5643.5
18817.8	4633.5	18644.7	6357.3
16593.2	4360.5	16694.8	5909.1
17979.5	4517.9	17242.8	6165.8

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 3 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=23573&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=23573&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=23573&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 computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Summary of Dendrogram
LabelHeight
1167.267151586915
2177.848278034960
3178.393553695194
4191.059388672737
5204.36959167156
6220.051448529657
7229.897955623794
8281.404459808298
9292.130689931749
10295.280442969052
11296.479105503238
12298.421832311243
13306.318951421553
14313.408599116234
15343.965245337374
16354.479773753031
17356.447780186664
18363.813207566740
19371.521345281803
20372.512040073874
21374.598117987797
22388.851604085672
23391.705220797477
24409.701073955146
25416.102138903418
26424.588318256638
27427.46047770525
28428.642298426088
29440.584032847311
30447.916967751837
31463.358079674888
32491.762361308793
33510.876726813818
34524.680874437023
35524.89605637688
36530.219341405046
37534.104465437239
38536.247825170414
39541.171488532055
40562.537438754081
41594.96520066303
42596.822151063447
43603.828170922822
44610.450833401019
45614.011034102808
46621.76896834757
47627.546420593727
48630.832101275767
49643.486977335205
50646.139017549629
51648.692084120039
52699.618395984554
53717.871304622214
54756.836105111272
55768.998335498849
56797.238847523124
57842.298444733219
58860.465600706966
59861.197282856837
60874.915167316237
61891.989047017954
62898.325030264659
63915.443875942157
64931.02517688836
65943.707438775386
66952.53886534881
67972.38075875657
681005.48866229312
691005.81021072566
701033.06462527763
711036.04336781816
721069.75499064038
731094.77974953869
741141.88801990388
751174.27135705509
761185.71768984021
771334.29445026201
781366.01553797898
791373.81700018598
801374.67180446825
811436.68816727918
821554.59099444195
831672.39149722785
841761.86257977176
851822.79806616092
861943.97511815352
872048.62639102400
882106.01197290044
892146.54180019863
902169.58108859752
912799.14800787668
923855.89357347943
934751.53615791777
944904.02946259502
958947.8030471172
9614441.7250912071

\begin{tabular}{lllllllll}
\hline
Summary of Dendrogram \tabularnewline
Label & Height \tabularnewline
1 & 167.267151586915 \tabularnewline
2 & 177.848278034960 \tabularnewline
3 & 178.393553695194 \tabularnewline
4 & 191.059388672737 \tabularnewline
5 & 204.36959167156 \tabularnewline
6 & 220.051448529657 \tabularnewline
7 & 229.897955623794 \tabularnewline
8 & 281.404459808298 \tabularnewline
9 & 292.130689931749 \tabularnewline
10 & 295.280442969052 \tabularnewline
11 & 296.479105503238 \tabularnewline
12 & 298.421832311243 \tabularnewline
13 & 306.318951421553 \tabularnewline
14 & 313.408599116234 \tabularnewline
15 & 343.965245337374 \tabularnewline
16 & 354.479773753031 \tabularnewline
17 & 356.447780186664 \tabularnewline
18 & 363.813207566740 \tabularnewline
19 & 371.521345281803 \tabularnewline
20 & 372.512040073874 \tabularnewline
21 & 374.598117987797 \tabularnewline
22 & 388.851604085672 \tabularnewline
23 & 391.705220797477 \tabularnewline
24 & 409.701073955146 \tabularnewline
25 & 416.102138903418 \tabularnewline
26 & 424.588318256638 \tabularnewline
27 & 427.46047770525 \tabularnewline
28 & 428.642298426088 \tabularnewline
29 & 440.584032847311 \tabularnewline
30 & 447.916967751837 \tabularnewline
31 & 463.358079674888 \tabularnewline
32 & 491.762361308793 \tabularnewline
33 & 510.876726813818 \tabularnewline
34 & 524.680874437023 \tabularnewline
35 & 524.89605637688 \tabularnewline
36 & 530.219341405046 \tabularnewline
37 & 534.104465437239 \tabularnewline
38 & 536.247825170414 \tabularnewline
39 & 541.171488532055 \tabularnewline
40 & 562.537438754081 \tabularnewline
41 & 594.96520066303 \tabularnewline
42 & 596.822151063447 \tabularnewline
43 & 603.828170922822 \tabularnewline
44 & 610.450833401019 \tabularnewline
45 & 614.011034102808 \tabularnewline
46 & 621.76896834757 \tabularnewline
47 & 627.546420593727 \tabularnewline
48 & 630.832101275767 \tabularnewline
49 & 643.486977335205 \tabularnewline
50 & 646.139017549629 \tabularnewline
51 & 648.692084120039 \tabularnewline
52 & 699.618395984554 \tabularnewline
53 & 717.871304622214 \tabularnewline
54 & 756.836105111272 \tabularnewline
55 & 768.998335498849 \tabularnewline
56 & 797.238847523124 \tabularnewline
57 & 842.298444733219 \tabularnewline
58 & 860.465600706966 \tabularnewline
59 & 861.197282856837 \tabularnewline
60 & 874.915167316237 \tabularnewline
61 & 891.989047017954 \tabularnewline
62 & 898.325030264659 \tabularnewline
63 & 915.443875942157 \tabularnewline
64 & 931.02517688836 \tabularnewline
65 & 943.707438775386 \tabularnewline
66 & 952.53886534881 \tabularnewline
67 & 972.38075875657 \tabularnewline
68 & 1005.48866229312 \tabularnewline
69 & 1005.81021072566 \tabularnewline
70 & 1033.06462527763 \tabularnewline
71 & 1036.04336781816 \tabularnewline
72 & 1069.75499064038 \tabularnewline
73 & 1094.77974953869 \tabularnewline
74 & 1141.88801990388 \tabularnewline
75 & 1174.27135705509 \tabularnewline
76 & 1185.71768984021 \tabularnewline
77 & 1334.29445026201 \tabularnewline
78 & 1366.01553797898 \tabularnewline
79 & 1373.81700018598 \tabularnewline
80 & 1374.67180446825 \tabularnewline
81 & 1436.68816727918 \tabularnewline
82 & 1554.59099444195 \tabularnewline
83 & 1672.39149722785 \tabularnewline
84 & 1761.86257977176 \tabularnewline
85 & 1822.79806616092 \tabularnewline
86 & 1943.97511815352 \tabularnewline
87 & 2048.62639102400 \tabularnewline
88 & 2106.01197290044 \tabularnewline
89 & 2146.54180019863 \tabularnewline
90 & 2169.58108859752 \tabularnewline
91 & 2799.14800787668 \tabularnewline
92 & 3855.89357347943 \tabularnewline
93 & 4751.53615791777 \tabularnewline
94 & 4904.02946259502 \tabularnewline
95 & 8947.8030471172 \tabularnewline
96 & 14441.7250912071 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=23573&T=1

[TABLE]
[ROW][C]Summary of Dendrogram[/C][/ROW]
[ROW][C]Label[/C][C]Height[/C][/ROW]
[ROW][C]1[/C][C]167.267151586915[/C][/ROW]
[ROW][C]2[/C][C]177.848278034960[/C][/ROW]
[ROW][C]3[/C][C]178.393553695194[/C][/ROW]
[ROW][C]4[/C][C]191.059388672737[/C][/ROW]
[ROW][C]5[/C][C]204.36959167156[/C][/ROW]
[ROW][C]6[/C][C]220.051448529657[/C][/ROW]
[ROW][C]7[/C][C]229.897955623794[/C][/ROW]
[ROW][C]8[/C][C]281.404459808298[/C][/ROW]
[ROW][C]9[/C][C]292.130689931749[/C][/ROW]
[ROW][C]10[/C][C]295.280442969052[/C][/ROW]
[ROW][C]11[/C][C]296.479105503238[/C][/ROW]
[ROW][C]12[/C][C]298.421832311243[/C][/ROW]
[ROW][C]13[/C][C]306.318951421553[/C][/ROW]
[ROW][C]14[/C][C]313.408599116234[/C][/ROW]
[ROW][C]15[/C][C]343.965245337374[/C][/ROW]
[ROW][C]16[/C][C]354.479773753031[/C][/ROW]
[ROW][C]17[/C][C]356.447780186664[/C][/ROW]
[ROW][C]18[/C][C]363.813207566740[/C][/ROW]
[ROW][C]19[/C][C]371.521345281803[/C][/ROW]
[ROW][C]20[/C][C]372.512040073874[/C][/ROW]
[ROW][C]21[/C][C]374.598117987797[/C][/ROW]
[ROW][C]22[/C][C]388.851604085672[/C][/ROW]
[ROW][C]23[/C][C]391.705220797477[/C][/ROW]
[ROW][C]24[/C][C]409.701073955146[/C][/ROW]
[ROW][C]25[/C][C]416.102138903418[/C][/ROW]
[ROW][C]26[/C][C]424.588318256638[/C][/ROW]
[ROW][C]27[/C][C]427.46047770525[/C][/ROW]
[ROW][C]28[/C][C]428.642298426088[/C][/ROW]
[ROW][C]29[/C][C]440.584032847311[/C][/ROW]
[ROW][C]30[/C][C]447.916967751837[/C][/ROW]
[ROW][C]31[/C][C]463.358079674888[/C][/ROW]
[ROW][C]32[/C][C]491.762361308793[/C][/ROW]
[ROW][C]33[/C][C]510.876726813818[/C][/ROW]
[ROW][C]34[/C][C]524.680874437023[/C][/ROW]
[ROW][C]35[/C][C]524.89605637688[/C][/ROW]
[ROW][C]36[/C][C]530.219341405046[/C][/ROW]
[ROW][C]37[/C][C]534.104465437239[/C][/ROW]
[ROW][C]38[/C][C]536.247825170414[/C][/ROW]
[ROW][C]39[/C][C]541.171488532055[/C][/ROW]
[ROW][C]40[/C][C]562.537438754081[/C][/ROW]
[ROW][C]41[/C][C]594.96520066303[/C][/ROW]
[ROW][C]42[/C][C]596.822151063447[/C][/ROW]
[ROW][C]43[/C][C]603.828170922822[/C][/ROW]
[ROW][C]44[/C][C]610.450833401019[/C][/ROW]
[ROW][C]45[/C][C]614.011034102808[/C][/ROW]
[ROW][C]46[/C][C]621.76896834757[/C][/ROW]
[ROW][C]47[/C][C]627.546420593727[/C][/ROW]
[ROW][C]48[/C][C]630.832101275767[/C][/ROW]
[ROW][C]49[/C][C]643.486977335205[/C][/ROW]
[ROW][C]50[/C][C]646.139017549629[/C][/ROW]
[ROW][C]51[/C][C]648.692084120039[/C][/ROW]
[ROW][C]52[/C][C]699.618395984554[/C][/ROW]
[ROW][C]53[/C][C]717.871304622214[/C][/ROW]
[ROW][C]54[/C][C]756.836105111272[/C][/ROW]
[ROW][C]55[/C][C]768.998335498849[/C][/ROW]
[ROW][C]56[/C][C]797.238847523124[/C][/ROW]
[ROW][C]57[/C][C]842.298444733219[/C][/ROW]
[ROW][C]58[/C][C]860.465600706966[/C][/ROW]
[ROW][C]59[/C][C]861.197282856837[/C][/ROW]
[ROW][C]60[/C][C]874.915167316237[/C][/ROW]
[ROW][C]61[/C][C]891.989047017954[/C][/ROW]
[ROW][C]62[/C][C]898.325030264659[/C][/ROW]
[ROW][C]63[/C][C]915.443875942157[/C][/ROW]
[ROW][C]64[/C][C]931.02517688836[/C][/ROW]
[ROW][C]65[/C][C]943.707438775386[/C][/ROW]
[ROW][C]66[/C][C]952.53886534881[/C][/ROW]
[ROW][C]67[/C][C]972.38075875657[/C][/ROW]
[ROW][C]68[/C][C]1005.48866229312[/C][/ROW]
[ROW][C]69[/C][C]1005.81021072566[/C][/ROW]
[ROW][C]70[/C][C]1033.06462527763[/C][/ROW]
[ROW][C]71[/C][C]1036.04336781816[/C][/ROW]
[ROW][C]72[/C][C]1069.75499064038[/C][/ROW]
[ROW][C]73[/C][C]1094.77974953869[/C][/ROW]
[ROW][C]74[/C][C]1141.88801990388[/C][/ROW]
[ROW][C]75[/C][C]1174.27135705509[/C][/ROW]
[ROW][C]76[/C][C]1185.71768984021[/C][/ROW]
[ROW][C]77[/C][C]1334.29445026201[/C][/ROW]
[ROW][C]78[/C][C]1366.01553797898[/C][/ROW]
[ROW][C]79[/C][C]1373.81700018598[/C][/ROW]
[ROW][C]80[/C][C]1374.67180446825[/C][/ROW]
[ROW][C]81[/C][C]1436.68816727918[/C][/ROW]
[ROW][C]82[/C][C]1554.59099444195[/C][/ROW]
[ROW][C]83[/C][C]1672.39149722785[/C][/ROW]
[ROW][C]84[/C][C]1761.86257977176[/C][/ROW]
[ROW][C]85[/C][C]1822.79806616092[/C][/ROW]
[ROW][C]86[/C][C]1943.97511815352[/C][/ROW]
[ROW][C]87[/C][C]2048.62639102400[/C][/ROW]
[ROW][C]88[/C][C]2106.01197290044[/C][/ROW]
[ROW][C]89[/C][C]2146.54180019863[/C][/ROW]
[ROW][C]90[/C][C]2169.58108859752[/C][/ROW]
[ROW][C]91[/C][C]2799.14800787668[/C][/ROW]
[ROW][C]92[/C][C]3855.89357347943[/C][/ROW]
[ROW][C]93[/C][C]4751.53615791777[/C][/ROW]
[ROW][C]94[/C][C]4904.02946259502[/C][/ROW]
[ROW][C]95[/C][C]8947.8030471172[/C][/ROW]
[ROW][C]96[/C][C]14441.7250912071[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=23573&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=23573&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
1167.267151586915
2177.848278034960
3178.393553695194
4191.059388672737
5204.36959167156
6220.051448529657
7229.897955623794
8281.404459808298
9292.130689931749
10295.280442969052
11296.479105503238
12298.421832311243
13306.318951421553
14313.408599116234
15343.965245337374
16354.479773753031
17356.447780186664
18363.813207566740
19371.521345281803
20372.512040073874
21374.598117987797
22388.851604085672
23391.705220797477
24409.701073955146
25416.102138903418
26424.588318256638
27427.46047770525
28428.642298426088
29440.584032847311
30447.916967751837
31463.358079674888
32491.762361308793
33510.876726813818
34524.680874437023
35524.89605637688
36530.219341405046
37534.104465437239
38536.247825170414
39541.171488532055
40562.537438754081
41594.96520066303
42596.822151063447
43603.828170922822
44610.450833401019
45614.011034102808
46621.76896834757
47627.546420593727
48630.832101275767
49643.486977335205
50646.139017549629
51648.692084120039
52699.618395984554
53717.871304622214
54756.836105111272
55768.998335498849
56797.238847523124
57842.298444733219
58860.465600706966
59861.197282856837
60874.915167316237
61891.989047017954
62898.325030264659
63915.443875942157
64931.02517688836
65943.707438775386
66952.53886534881
67972.38075875657
681005.48866229312
691005.81021072566
701033.06462527763
711036.04336781816
721069.75499064038
731094.77974953869
741141.88801990388
751174.27135705509
761185.71768984021
771334.29445026201
781366.01553797898
791373.81700018598
801374.67180446825
811436.68816727918
821554.59099444195
831672.39149722785
841761.86257977176
851822.79806616092
861943.97511815352
872048.62639102400
882106.01197290044
892146.54180019863
902169.58108859752
912799.14800787668
923855.89357347943
934751.53615791777
944904.02946259502
958947.8030471172
9614441.7250912071


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = complete ; par2 = ALL ; par3 = FALSE ; par4 = FALSE ;
Parameters (R input):
par1 = complete ; 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')
}