Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_hierarchicalclustering.wasp
Title produced by softwareHierarchical Clustering
Date of computationTue, 11 Nov 2008 04:46:15 -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/t1226404024sgxjfgdhjemj1j4.htm/, Retrieved Sun, 19 May 2024 05:04:12 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=23339, Retrieved Sun, 19 May 2024 05:04:12 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact126
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Partial Correlation] [Partial Correlation ] [2008-11-11 10:49:03] [252acdb58d8522ab27f61fa1e87b5efe]
F RMPD    [Hierarchical Clustering] [Hierarchial Clust...] [2008-11-11 11:46:15] [54e3d3004a715f41ac868f539d95466f] [Current]
Feedback Forum
2008-11-19 12:58:07 [Bob Leysen] [reply
De grafiek is correct.
De gegevens zijn sterk verdeeld (in 2 stukken). Je kan blijven splitsen tot je bij 1 observatie komt.
Een dendrogram wordt meestal gebruikt voor niet tijdsreeksen. Vb. als er verschillende producten zijn kan je zien welke samenhoren.

Post a new message
Dataseries X:
3353	2341	820
3480	2540	829
3098	2371	677
2944	2122	720
3389	2301	846
3497	2512	842
4404	3145	1137
3849	2741	961
3734	2548	1008
3060	1987	872
3507	2281	1094
3287	2016	905
3215	2434	622
3764	2637	1068
2734	1831	760
2837	1851	809
2766	1839	838
3851	2609	1008
3289	2417	838
3848	2394	1057
3348	2372	904
3682	2717	803
4058	2998	810
3655	2538	992
3811	3007	667
3341	2475	803
3032	2175	611
3475	2465	712
3353	2279	785
3186	2323	599
3902	2746	1008
4164	2601	1136
3499	2486	931
4145	2718	1051
3796	2646	956
3711	2551	1006
3949	2712	1077
3740	2606	772
3243	2365	679
4407	3533	787
4814	3509	1011
3908	2912	701
5250	3599	1269
3937	2719	1007
4004	2869	1013
5560	4085	1209
3922	2686	1036
3759	2545	1084
4138	3071	926
4634	3388	1083
3996	2652	912
4308	3190	910
4142	2884	886
4429	3295	948
5219	3818	1134
4929	3226	1226
5754	3953	1515
5592	3810	1491
4163	2877	1086
4962	3515	1274
5208	3708	1164
4755	3450	1205
4491	3360	966
5732	4110	1462
5730	4384	1134
5024	3729	1141
6056	4263	1676
4901	3505	1166
5353	3674	1492
5578	3911	1413
4618	2951	1287
4724	3317	1206
5011	3417	1054
5298	3498	1236
4143	2768	1069
4617	2899	1264
4727	3171	1318
4207	3004	1093
5112	3481	1495
4190	3016	1121
4098	2595	1342
5071	3509	1335
4177	2833	1261
4598	3125	1317
3757	2556	867
5591	3628	1428
4218	2876	1199
3780	2575	961
4336	2903	1195
4870	3438	1225
4422	2926	1282
4727	3068	1629
4459	3015	1187




Summary of computational 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 computational 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=23339&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]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=23339&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=23339&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 time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Summary of Dendrogram
LabelHeight
123.2808934536456
234.8855270850248
335.2420203734122
444.2153819388683
553.1789432012333
655.5517776493246
756.8682688324517
859.7662111899357
972.9520390393579
1076.988354008998
1177.6273147803014
1285.3990632267123
1385.8338135114737
1485.871997764114
1588.6654351002264
1691.6133178091483
1792.9719001994933
1893.5147047260483
1993.7763296360014
2094.503968170654
21107.783705628348
22108.692226032960
23114.546933612384
24116.593310271216
25117.968016753831
26124.474897067642
27125.051989188497
28128.057582146383
29128.378347083922
30134.023015459321
31136.568664048529
32136.959848130757
33139.964281157730
34141.044405555545
35149.749791318719
36149.779838429610
37155.046678626832
38158.697826072067
39166.216797758617
40167.158607316524
41175.642769989114
42181.756043410132
43182.867764361090
44188.349569273579
45209.349833666897
46212.799322669716
47216.397781874029
48221.634834807167
49228.109607413265
50229.205491884870
51231.212023908792
52246.908396571442
53248.284132121602
54249.501861474344
55249.882001457286
56250.710988989314
57254.361639239078
58274.448595172597
59312.518824146589
60340.427051342389
61345.351779461579
62352.031248612960
63354.199001997207
64378.879457962028
65446.412249894587
66453.265016963276
67457.334811526605
68460.97151000868
69468.863270036627
70472.241496012986
71500.110984397777
72530.355730381399
73574.234755358809
74594.359847103577
75616.383497276565
76625.841872476899
77688.830582889928
78727.292150693475
79926.397141766468
80980.61940495497
811040.37411816354
821184.53472146746
831513.01882167306
841638.20661276384
851698.51098952335
862385.33771560195
872950.71689950773
883312.60326291917
893506.53851819069
9010607.6112309635
9114067.4124884189
9244632.7946593864

\begin{tabular}{lllllllll}
\hline
Summary of Dendrogram \tabularnewline
Label & Height \tabularnewline
1 & 23.2808934536456 \tabularnewline
2 & 34.8855270850248 \tabularnewline
3 & 35.2420203734122 \tabularnewline
4 & 44.2153819388683 \tabularnewline
5 & 53.1789432012333 \tabularnewline
6 & 55.5517776493246 \tabularnewline
7 & 56.8682688324517 \tabularnewline
8 & 59.7662111899357 \tabularnewline
9 & 72.9520390393579 \tabularnewline
10 & 76.988354008998 \tabularnewline
11 & 77.6273147803014 \tabularnewline
12 & 85.3990632267123 \tabularnewline
13 & 85.8338135114737 \tabularnewline
14 & 85.871997764114 \tabularnewline
15 & 88.6654351002264 \tabularnewline
16 & 91.6133178091483 \tabularnewline
17 & 92.9719001994933 \tabularnewline
18 & 93.5147047260483 \tabularnewline
19 & 93.7763296360014 \tabularnewline
20 & 94.503968170654 \tabularnewline
21 & 107.783705628348 \tabularnewline
22 & 108.692226032960 \tabularnewline
23 & 114.546933612384 \tabularnewline
24 & 116.593310271216 \tabularnewline
25 & 117.968016753831 \tabularnewline
26 & 124.474897067642 \tabularnewline
27 & 125.051989188497 \tabularnewline
28 & 128.057582146383 \tabularnewline
29 & 128.378347083922 \tabularnewline
30 & 134.023015459321 \tabularnewline
31 & 136.568664048529 \tabularnewline
32 & 136.959848130757 \tabularnewline
33 & 139.964281157730 \tabularnewline
34 & 141.044405555545 \tabularnewline
35 & 149.749791318719 \tabularnewline
36 & 149.779838429610 \tabularnewline
37 & 155.046678626832 \tabularnewline
38 & 158.697826072067 \tabularnewline
39 & 166.216797758617 \tabularnewline
40 & 167.158607316524 \tabularnewline
41 & 175.642769989114 \tabularnewline
42 & 181.756043410132 \tabularnewline
43 & 182.867764361090 \tabularnewline
44 & 188.349569273579 \tabularnewline
45 & 209.349833666897 \tabularnewline
46 & 212.799322669716 \tabularnewline
47 & 216.397781874029 \tabularnewline
48 & 221.634834807167 \tabularnewline
49 & 228.109607413265 \tabularnewline
50 & 229.205491884870 \tabularnewline
51 & 231.212023908792 \tabularnewline
52 & 246.908396571442 \tabularnewline
53 & 248.284132121602 \tabularnewline
54 & 249.501861474344 \tabularnewline
55 & 249.882001457286 \tabularnewline
56 & 250.710988989314 \tabularnewline
57 & 254.361639239078 \tabularnewline
58 & 274.448595172597 \tabularnewline
59 & 312.518824146589 \tabularnewline
60 & 340.427051342389 \tabularnewline
61 & 345.351779461579 \tabularnewline
62 & 352.031248612960 \tabularnewline
63 & 354.199001997207 \tabularnewline
64 & 378.879457962028 \tabularnewline
65 & 446.412249894587 \tabularnewline
66 & 453.265016963276 \tabularnewline
67 & 457.334811526605 \tabularnewline
68 & 460.97151000868 \tabularnewline
69 & 468.863270036627 \tabularnewline
70 & 472.241496012986 \tabularnewline
71 & 500.110984397777 \tabularnewline
72 & 530.355730381399 \tabularnewline
73 & 574.234755358809 \tabularnewline
74 & 594.359847103577 \tabularnewline
75 & 616.383497276565 \tabularnewline
76 & 625.841872476899 \tabularnewline
77 & 688.830582889928 \tabularnewline
78 & 727.292150693475 \tabularnewline
79 & 926.397141766468 \tabularnewline
80 & 980.61940495497 \tabularnewline
81 & 1040.37411816354 \tabularnewline
82 & 1184.53472146746 \tabularnewline
83 & 1513.01882167306 \tabularnewline
84 & 1638.20661276384 \tabularnewline
85 & 1698.51098952335 \tabularnewline
86 & 2385.33771560195 \tabularnewline
87 & 2950.71689950773 \tabularnewline
88 & 3312.60326291917 \tabularnewline
89 & 3506.53851819069 \tabularnewline
90 & 10607.6112309635 \tabularnewline
91 & 14067.4124884189 \tabularnewline
92 & 44632.7946593864 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=23339&T=1

[TABLE]
[ROW][C]Summary of Dendrogram[/C][/ROW]
[ROW][C]Label[/C][C]Height[/C][/ROW]
[ROW][C]1[/C][C]23.2808934536456[/C][/ROW]
[ROW][C]2[/C][C]34.8855270850248[/C][/ROW]
[ROW][C]3[/C][C]35.2420203734122[/C][/ROW]
[ROW][C]4[/C][C]44.2153819388683[/C][/ROW]
[ROW][C]5[/C][C]53.1789432012333[/C][/ROW]
[ROW][C]6[/C][C]55.5517776493246[/C][/ROW]
[ROW][C]7[/C][C]56.8682688324517[/C][/ROW]
[ROW][C]8[/C][C]59.7662111899357[/C][/ROW]
[ROW][C]9[/C][C]72.9520390393579[/C][/ROW]
[ROW][C]10[/C][C]76.988354008998[/C][/ROW]
[ROW][C]11[/C][C]77.6273147803014[/C][/ROW]
[ROW][C]12[/C][C]85.3990632267123[/C][/ROW]
[ROW][C]13[/C][C]85.8338135114737[/C][/ROW]
[ROW][C]14[/C][C]85.871997764114[/C][/ROW]
[ROW][C]15[/C][C]88.6654351002264[/C][/ROW]
[ROW][C]16[/C][C]91.6133178091483[/C][/ROW]
[ROW][C]17[/C][C]92.9719001994933[/C][/ROW]
[ROW][C]18[/C][C]93.5147047260483[/C][/ROW]
[ROW][C]19[/C][C]93.7763296360014[/C][/ROW]
[ROW][C]20[/C][C]94.503968170654[/C][/ROW]
[ROW][C]21[/C][C]107.783705628348[/C][/ROW]
[ROW][C]22[/C][C]108.692226032960[/C][/ROW]
[ROW][C]23[/C][C]114.546933612384[/C][/ROW]
[ROW][C]24[/C][C]116.593310271216[/C][/ROW]
[ROW][C]25[/C][C]117.968016753831[/C][/ROW]
[ROW][C]26[/C][C]124.474897067642[/C][/ROW]
[ROW][C]27[/C][C]125.051989188497[/C][/ROW]
[ROW][C]28[/C][C]128.057582146383[/C][/ROW]
[ROW][C]29[/C][C]128.378347083922[/C][/ROW]
[ROW][C]30[/C][C]134.023015459321[/C][/ROW]
[ROW][C]31[/C][C]136.568664048529[/C][/ROW]
[ROW][C]32[/C][C]136.959848130757[/C][/ROW]
[ROW][C]33[/C][C]139.964281157730[/C][/ROW]
[ROW][C]34[/C][C]141.044405555545[/C][/ROW]
[ROW][C]35[/C][C]149.749791318719[/C][/ROW]
[ROW][C]36[/C][C]149.779838429610[/C][/ROW]
[ROW][C]37[/C][C]155.046678626832[/C][/ROW]
[ROW][C]38[/C][C]158.697826072067[/C][/ROW]
[ROW][C]39[/C][C]166.216797758617[/C][/ROW]
[ROW][C]40[/C][C]167.158607316524[/C][/ROW]
[ROW][C]41[/C][C]175.642769989114[/C][/ROW]
[ROW][C]42[/C][C]181.756043410132[/C][/ROW]
[ROW][C]43[/C][C]182.867764361090[/C][/ROW]
[ROW][C]44[/C][C]188.349569273579[/C][/ROW]
[ROW][C]45[/C][C]209.349833666897[/C][/ROW]
[ROW][C]46[/C][C]212.799322669716[/C][/ROW]
[ROW][C]47[/C][C]216.397781874029[/C][/ROW]
[ROW][C]48[/C][C]221.634834807167[/C][/ROW]
[ROW][C]49[/C][C]228.109607413265[/C][/ROW]
[ROW][C]50[/C][C]229.205491884870[/C][/ROW]
[ROW][C]51[/C][C]231.212023908792[/C][/ROW]
[ROW][C]52[/C][C]246.908396571442[/C][/ROW]
[ROW][C]53[/C][C]248.284132121602[/C][/ROW]
[ROW][C]54[/C][C]249.501861474344[/C][/ROW]
[ROW][C]55[/C][C]249.882001457286[/C][/ROW]
[ROW][C]56[/C][C]250.710988989314[/C][/ROW]
[ROW][C]57[/C][C]254.361639239078[/C][/ROW]
[ROW][C]58[/C][C]274.448595172597[/C][/ROW]
[ROW][C]59[/C][C]312.518824146589[/C][/ROW]
[ROW][C]60[/C][C]340.427051342389[/C][/ROW]
[ROW][C]61[/C][C]345.351779461579[/C][/ROW]
[ROW][C]62[/C][C]352.031248612960[/C][/ROW]
[ROW][C]63[/C][C]354.199001997207[/C][/ROW]
[ROW][C]64[/C][C]378.879457962028[/C][/ROW]
[ROW][C]65[/C][C]446.412249894587[/C][/ROW]
[ROW][C]66[/C][C]453.265016963276[/C][/ROW]
[ROW][C]67[/C][C]457.334811526605[/C][/ROW]
[ROW][C]68[/C][C]460.97151000868[/C][/ROW]
[ROW][C]69[/C][C]468.863270036627[/C][/ROW]
[ROW][C]70[/C][C]472.241496012986[/C][/ROW]
[ROW][C]71[/C][C]500.110984397777[/C][/ROW]
[ROW][C]72[/C][C]530.355730381399[/C][/ROW]
[ROW][C]73[/C][C]574.234755358809[/C][/ROW]
[ROW][C]74[/C][C]594.359847103577[/C][/ROW]
[ROW][C]75[/C][C]616.383497276565[/C][/ROW]
[ROW][C]76[/C][C]625.841872476899[/C][/ROW]
[ROW][C]77[/C][C]688.830582889928[/C][/ROW]
[ROW][C]78[/C][C]727.292150693475[/C][/ROW]
[ROW][C]79[/C][C]926.397141766468[/C][/ROW]
[ROW][C]80[/C][C]980.61940495497[/C][/ROW]
[ROW][C]81[/C][C]1040.37411816354[/C][/ROW]
[ROW][C]82[/C][C]1184.53472146746[/C][/ROW]
[ROW][C]83[/C][C]1513.01882167306[/C][/ROW]
[ROW][C]84[/C][C]1638.20661276384[/C][/ROW]
[ROW][C]85[/C][C]1698.51098952335[/C][/ROW]
[ROW][C]86[/C][C]2385.33771560195[/C][/ROW]
[ROW][C]87[/C][C]2950.71689950773[/C][/ROW]
[ROW][C]88[/C][C]3312.60326291917[/C][/ROW]
[ROW][C]89[/C][C]3506.53851819069[/C][/ROW]
[ROW][C]90[/C][C]10607.6112309635[/C][/ROW]
[ROW][C]91[/C][C]14067.4124884189[/C][/ROW]
[ROW][C]92[/C][C]44632.7946593864[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=23339&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=23339&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
123.2808934536456
234.8855270850248
335.2420203734122
444.2153819388683
553.1789432012333
655.5517776493246
756.8682688324517
859.7662111899357
972.9520390393579
1076.988354008998
1177.6273147803014
1285.3990632267123
1385.8338135114737
1485.871997764114
1588.6654351002264
1691.6133178091483
1792.9719001994933
1893.5147047260483
1993.7763296360014
2094.503968170654
21107.783705628348
22108.692226032960
23114.546933612384
24116.593310271216
25117.968016753831
26124.474897067642
27125.051989188497
28128.057582146383
29128.378347083922
30134.023015459321
31136.568664048529
32136.959848130757
33139.964281157730
34141.044405555545
35149.749791318719
36149.779838429610
37155.046678626832
38158.697826072067
39166.216797758617
40167.158607316524
41175.642769989114
42181.756043410132
43182.867764361090
44188.349569273579
45209.349833666897
46212.799322669716
47216.397781874029
48221.634834807167
49228.109607413265
50229.205491884870
51231.212023908792
52246.908396571442
53248.284132121602
54249.501861474344
55249.882001457286
56250.710988989314
57254.361639239078
58274.448595172597
59312.518824146589
60340.427051342389
61345.351779461579
62352.031248612960
63354.199001997207
64378.879457962028
65446.412249894587
66453.265016963276
67457.334811526605
68460.97151000868
69468.863270036627
70472.241496012986
71500.110984397777
72530.355730381399
73574.234755358809
74594.359847103577
75616.383497276565
76625.841872476899
77688.830582889928
78727.292150693475
79926.397141766468
80980.61940495497
811040.37411816354
821184.53472146746
831513.01882167306
841638.20661276384
851698.51098952335
862385.33771560195
872950.71689950773
883312.60326291917
893506.53851819069
9010607.6112309635
9114067.4124884189
9244632.7946593864







Summary of Cut Dendrogram
LabelHeight
1884.784741633031
22045.25595193922

\begin{tabular}{lllllllll}
\hline
Summary of Cut Dendrogram \tabularnewline
Label & Height \tabularnewline
1 & 884.784741633031 \tabularnewline
2 & 2045.25595193922 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=23339&T=2

[TABLE]
[ROW][C]Summary of Cut Dendrogram[/C][/ROW]
[ROW][C]Label[/C][C]Height[/C][/ROW]
[ROW][C]1[/C][C]884.784741633031[/C][/ROW]
[ROW][C]2[/C][C]2045.25595193922[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=23339&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=23339&T=2

As an alternative you can also use a QR Code:  

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

Summary of Cut Dendrogram
LabelHeight
1884.784741633031
22045.25595193922



Parameters (Session):
par1 = ward ; par2 = 3 ; par3 = FALSE ; par4 = FALSE ;
Parameters (R input):
par1 = ward ; par2 = 3 ; 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')
}