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Author's title

Author

*The author of this computation has been verified*

R Software Module

rwasp_hierarchicalclustering.wasp

Title produced by software

Hierarchical Clustering

Date of computation

Sat, 08 Nov 2008 09:16:05 -0700

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Nov/08/t1226160999k6471l9734mmucs.htm/, Retrieved Sun, 19 May 2024 12:01:15 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=22623, Retrieved Sun, 19 May 2024 12:01:15 +0000

QR Codes:

Paste this QR Code to cite your computation.

Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

150

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

F       [Hierarchical Clustering] [Various EDA topic...] [2008-11-08 16:16:05] [0f30549460cf4ec26d9cf94b1fcf7789] [Current]

Feedback Forum

2008-11-12 16:10:51 [Veerle Jackers] [reply] 
Ik wist niet goed hoe ik deze grafiek moest aflezen.  
Onder de rechtertak liggen dus hier het meeste observaties.
2008-11-24 18:30:19 [Niels Herremans] [reply] 
Bij clustering wordt er nagegaan welke observaties gemeenschappelijk/gelijkaardig zijn. Deze methode wordt meestal gebruikt bij niet-tijdreeksen. 

Post a new message

Dataseries X:

Download CSV

Histogram

Boxplots

106.60	0.33	1.00	526.4
106.80	0.33	1.04	526.4
107.00	0.32	1.02	526.4
107.10	0.33	1.07	526.4
107.30	0.34	1.12	526.4
107.40	0.36	1.08	526.4
107.60	0.34	1.02	542.9
107.70	0.33	1.01	542.9
107.90	0.35	1.04	542.9
108.20	0.31	0.98	542.9
108.30	0.28	0.95	542.9
108.50	0.26	0.94	542.9
108.92	0.26	0.94	556.11
109.23	0.26	0.96	556.11
109.41	0.29	0.97	556.11
109.65	0.30	1.03	556.11
109.91	0.30	1.01	556.11
110.01	0.28	0.99	556.11
110.20	0.29	1.00	557.07
110.49	0.29	1.00	557.07
110.57	0.32	1.02	557.07
110.72	0.33	1.01	557.07
110.94	0.29	0.99	557.07
111.09	0.31	0.98	557.07
111.28	0.33	1.01	564.29
111.41	0.36	1.03	564.29
111.62	0.39	1.03	564.29
111.76	0.30	1.00	564.29
111.89	0.27	0.96	564.29
112.04	0.28	0.97	564.29
112.12	0.29	0.98	569
112.30	0.30	1.02	569
112.47	0.30	1.04	569
112.59	0.30	1.01	569
112.78	0.31	1.01	569
112.73	0.30	1.00	569
112.99	0.31	1.01	575
113.10	0.29	1.02	575
113.33	0.32	1.03	575
113.38	0.33	1.06	575
113.68	0.35	1.12	575
113.65	0.35	1.12	575
113.81	0.36	1.13	594.51
113.88	0.40	1.13	594.51
114.02	0.40	1.13	594.51
114.25	0.47	1.17	594.51
114.28	0.43	1.14	594.51
114.38	0.38	1.08	594.51
114.73	0.38	1.07	603.88
114.97	0.40	1.12	603.88
115.05	0.45	1.14	603.88
115.29	0.47	1.21	603.88
115.37	0.45	1.20	603.88
115.54	0.50	1.23	603.88
115.76	0.54	1.29	610.02
115.92	0.55	1.31	610.02
116.02	0.59	1.37	610.02
116.21	0.51	1.35	610.02
116.26	0.50	1.26	610.02
116.51	0.50	1.26	610.02
106.60	0.33	1.00	526.4
106.80	0.33	1.04	526.4
107.00	0.32	1.02	526.4
107.10	0.33	1.07	526.4
107.30	0.34	1.12	526.4
107.40	0.36	1.08	526.4
107.60	0.34	1.02	542.9
107.70	0.33	1.01	542.9
107.90	0.35	1.04	542.9
108.20	0.31	0.98	542.9
108.30	0.28	0.95	542.9
108.50	0.26	0.94	542.9
108.92	0.26	0.94	556.11
109.23	0.26	0.96	556.11
109.41	0.29	0.97	556.11
109.65	0.30	1.03	556.11
109.91	0.30	1.01	556.11
110.01	0.28	0.99	556.11
110.20	0.29	1.00	557.07
110.49	0.29	1.00	557.07
110.57	0.32	1.02	557.07
110.72	0.33	1.01	557.07
110.94	0.29	0.99	557.07
111.09	0.31	0.98	557.07
111.28	0.33	1.01	564.29
111.41	0.36	1.03	564.29
111.62	0.39	1.03	564.29
111.76	0.30	1.00	564.29
111.89	0.27	0.96	564.29
112.04	0.28	0.97	564.29
112.12	0.29	0.98	569
112.30	0.30	1.02	569
112.47	0.30	1.04	569
112.59	0.30	1.01	569
112.78	0.31	1.01	569
112.73	0.30	1.00	569
112.99	0.31	1.01	575
113.10	0.29	1.02	575
113.33	0.32	1.03	575
113.38	0.33	1.06	575
113.68	0.35	1.12	575
113.65	0.35	1.12	575
113.81	0.36	1.13	594.51
113.88	0.40	1.13	594.51
114.02	0.40	1.13	594.51
114.25	0.47	1.17	594.51
114.28	0.43	1.14	594.51
114.38	0.38	1.08	594.51
114.73	0.38	1.07	603.88
114.97	0.40	1.12	603.88
115.05	0.45	1.14	603.88
115.29	0.47	1.21	603.88
115.37	0.45	1.20	603.88
115.54	0.50	1.23	603.88
115.76	0.54	1.29	610.02
115.92	0.55	1.31	610.02
116.02	0.59	1.37	610.02
116.21	0.51	1.35	610.02
116.26	0.50	1.26	610.02
116.51	0.50	1.26	610.02

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	4 seconds
R Server	'George Udny Yule' @ 72.249.76.132

\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 & 4 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=22623&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]4 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=22623&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=22623&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 Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	4 seconds
R Server	'George Udny Yule' @ 72.249.76.132

Summary of Dendrogram
Label	Height
1	0
2	0
3	0
4	0
5	0
6	0
7	0
8	0
9	0
10	0
11	0
12	0
13	0
14	0
15	0
16	0
17	0
18	0
19	0
20	0
21	0
22	0
23	0
24	0
25	0
26	0
27	0
28	0
29	0
30	0
31	0
32	0
33	0
34	0
35	0
36	0
37	0
38	0
39	0
40	0
41	0
42	0
43	0
44	0
45	0
46	0
47	0
48	0
49	0
50	0
51	0
52	0
53	0
54	0
55	0
56	0
57	0
58	0
59	0
60	0
61	0.0600000000000023
62	0.103923048454127
63	0.116619037896907
64	0.118321595661988
65	0.161245154965959
66	0.166132477258358
67	0.175499287747839
68	0.192873015219856
69	0.201990098767258
70	0.206881608655783
71	0.207846096908282
72	0.217255609823994
73	0.219089023002082
74	0.224499443206426
75	0.224499443206435
76	0.24657656011875
77	0.247386337537068
78	0.269814751264632
79	0.278567765543674
80	0.303315017762073
81	0.365513337649927
82	0.369323706252373
83	0.372886759889151
84	0.407921561087428
85	0.417952392697099
86	0.453942398276269
87	0.484446846156192
88	0.50199618387083
89	0.521034009397104
90	0.604744891689389
91	0.604919264696723
92	0.654014234474172
93	0.682197853541218
94	0.710282544278514
95	0.72963262916197
96	0.762098286567156
97	0.948132616029353
98	1.00957312289436
99	1.02602423863257
100	1.08084524748100
101	1.70661737649164
102	1.80940046661996
103	1.90271097461706
104	1.93140665535454
105	1.99483047629486
106	2.02163765049942
107	2.0270365970748
108	2.19961719660850
109	2.83024262816904
110	2.89982602415191
111	13.7852392269897
112	54.12926652129
113	71.1076915474222
114	112.698002334929
115	172.548453725608
116	194.306176958378
117	292.133308008722
118	740.796692586674
119	1771.84053553447

\begin{tabular}{lllllllll}
\hline
Summary of Dendrogram \tabularnewline
Label & Height \tabularnewline
1 & 0 \tabularnewline
2 & 0 \tabularnewline
3 & 0 \tabularnewline
4 & 0 \tabularnewline
5 & 0 \tabularnewline
6 & 0 \tabularnewline
7 & 0 \tabularnewline
8 & 0 \tabularnewline
9 & 0 \tabularnewline
10 & 0 \tabularnewline
11 & 0 \tabularnewline
12 & 0 \tabularnewline
13 & 0 \tabularnewline
14 & 0 \tabularnewline
15 & 0 \tabularnewline
16 & 0 \tabularnewline
17 & 0 \tabularnewline
18 & 0 \tabularnewline
19 & 0 \tabularnewline
20 & 0 \tabularnewline
21 & 0 \tabularnewline
22 & 0 \tabularnewline
23 & 0 \tabularnewline
24 & 0 \tabularnewline
25 & 0 \tabularnewline
26 & 0 \tabularnewline
27 & 0 \tabularnewline
28 & 0 \tabularnewline
29 & 0 \tabularnewline
30 & 0 \tabularnewline
31 & 0 \tabularnewline
32 & 0 \tabularnewline
33 & 0 \tabularnewline
34 & 0 \tabularnewline
35 & 0 \tabularnewline
36 & 0 \tabularnewline
37 & 0 \tabularnewline
38 & 0 \tabularnewline
39 & 0 \tabularnewline
40 & 0 \tabularnewline
41 & 0 \tabularnewline
42 & 0 \tabularnewline
43 & 0 \tabularnewline
44 & 0 \tabularnewline
45 & 0 \tabularnewline
46 & 0 \tabularnewline
47 & 0 \tabularnewline
48 & 0 \tabularnewline
49 & 0 \tabularnewline
50 & 0 \tabularnewline
51 & 0 \tabularnewline
52 & 0 \tabularnewline
53 & 0 \tabularnewline
54 & 0 \tabularnewline
55 & 0 \tabularnewline
56 & 0 \tabularnewline
57 & 0 \tabularnewline
58 & 0 \tabularnewline
59 & 0 \tabularnewline
60 & 0 \tabularnewline
61 & 0.0600000000000023 \tabularnewline
62 & 0.103923048454127 \tabularnewline
63 & 0.116619037896907 \tabularnewline
64 & 0.118321595661988 \tabularnewline
65 & 0.161245154965959 \tabularnewline
66 & 0.166132477258358 \tabularnewline
67 & 0.175499287747839 \tabularnewline
68 & 0.192873015219856 \tabularnewline
69 & 0.201990098767258 \tabularnewline
70 & 0.206881608655783 \tabularnewline
71 & 0.207846096908282 \tabularnewline
72 & 0.217255609823994 \tabularnewline
73 & 0.219089023002082 \tabularnewline
74 & 0.224499443206426 \tabularnewline
75 & 0.224499443206435 \tabularnewline
76 & 0.24657656011875 \tabularnewline
77 & 0.247386337537068 \tabularnewline
78 & 0.269814751264632 \tabularnewline
79 & 0.278567765543674 \tabularnewline
80 & 0.303315017762073 \tabularnewline
81 & 0.365513337649927 \tabularnewline
82 & 0.369323706252373 \tabularnewline
83 & 0.372886759889151 \tabularnewline
84 & 0.407921561087428 \tabularnewline
85 & 0.417952392697099 \tabularnewline
86 & 0.453942398276269 \tabularnewline
87 & 0.484446846156192 \tabularnewline
88 & 0.50199618387083 \tabularnewline
89 & 0.521034009397104 \tabularnewline
90 & 0.604744891689389 \tabularnewline
91 & 0.604919264696723 \tabularnewline
92 & 0.654014234474172 \tabularnewline
93 & 0.682197853541218 \tabularnewline
94 & 0.710282544278514 \tabularnewline
95 & 0.72963262916197 \tabularnewline
96 & 0.762098286567156 \tabularnewline
97 & 0.948132616029353 \tabularnewline
98 & 1.00957312289436 \tabularnewline
99 & 1.02602423863257 \tabularnewline
100 & 1.08084524748100 \tabularnewline
101 & 1.70661737649164 \tabularnewline
102 & 1.80940046661996 \tabularnewline
103 & 1.90271097461706 \tabularnewline
104 & 1.93140665535454 \tabularnewline
105 & 1.99483047629486 \tabularnewline
106 & 2.02163765049942 \tabularnewline
107 & 2.0270365970748 \tabularnewline
108 & 2.19961719660850 \tabularnewline
109 & 2.83024262816904 \tabularnewline
110 & 2.89982602415191 \tabularnewline
111 & 13.7852392269897 \tabularnewline
112 & 54.12926652129 \tabularnewline
113 & 71.1076915474222 \tabularnewline
114 & 112.698002334929 \tabularnewline
115 & 172.548453725608 \tabularnewline
116 & 194.306176958378 \tabularnewline
117 & 292.133308008722 \tabularnewline
118 & 740.796692586674 \tabularnewline
119 & 1771.84053553447 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=22623&T=1

[TABLE]
[ROW][C]Summary of Dendrogram[/C][/ROW]
[ROW][C]Label[/C][C]Height[/C][/ROW]
[ROW][C]1[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0[/C][/ROW]
[ROW][C]7[/C][C]0[/C][/ROW]
[ROW][C]8[/C][C]0[/C][/ROW]
[ROW][C]9[/C][C]0[/C][/ROW]
[ROW][C]10[/C][C]0[/C][/ROW]
[ROW][C]11[/C][C]0[/C][/ROW]
[ROW][C]12[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]0[/C][/ROW]
[ROW][C]14[/C][C]0[/C][/ROW]
[ROW][C]15[/C][C]0[/C][/ROW]
[ROW][C]16[/C][C]0[/C][/ROW]
[ROW][C]17[/C][C]0[/C][/ROW]
[ROW][C]18[/C][C]0[/C][/ROW]
[ROW][C]19[/C][C]0[/C][/ROW]
[ROW][C]20[/C][C]0[/C][/ROW]
[ROW][C]21[/C][C]0[/C][/ROW]
[ROW][C]22[/C][C]0[/C][/ROW]
[ROW][C]23[/C][C]0[/C][/ROW]
[ROW][C]24[/C][C]0[/C][/ROW]
[ROW][C]25[/C][C]0[/C][/ROW]
[ROW][C]26[/C][C]0[/C][/ROW]
[ROW][C]27[/C][C]0[/C][/ROW]
[ROW][C]28[/C][C]0[/C][/ROW]
[ROW][C]29[/C][C]0[/C][/ROW]
[ROW][C]30[/C][C]0[/C][/ROW]
[ROW][C]31[/C][C]0[/C][/ROW]
[ROW][C]32[/C][C]0[/C][/ROW]
[ROW][C]33[/C][C]0[/C][/ROW]
[ROW][C]34[/C][C]0[/C][/ROW]
[ROW][C]35[/C][C]0[/C][/ROW]
[ROW][C]36[/C][C]0[/C][/ROW]
[ROW][C]37[/C][C]0[/C][/ROW]
[ROW][C]38[/C][C]0[/C][/ROW]
[ROW][C]39[/C][C]0[/C][/ROW]
[ROW][C]40[/C][C]0[/C][/ROW]
[ROW][C]41[/C][C]0[/C][/ROW]
[ROW][C]42[/C][C]0[/C][/ROW]
[ROW][C]43[/C][C]0[/C][/ROW]
[ROW][C]44[/C][C]0[/C][/ROW]
[ROW][C]45[/C][C]0[/C][/ROW]
[ROW][C]46[/C][C]0[/C][/ROW]
[ROW][C]47[/C][C]0[/C][/ROW]
[ROW][C]48[/C][C]0[/C][/ROW]
[ROW][C]49[/C][C]0[/C][/ROW]
[ROW][C]50[/C][C]0[/C][/ROW]
[ROW][C]51[/C][C]0[/C][/ROW]
[ROW][C]52[/C][C]0[/C][/ROW]
[ROW][C]53[/C][C]0[/C][/ROW]
[ROW][C]54[/C][C]0[/C][/ROW]
[ROW][C]55[/C][C]0[/C][/ROW]
[ROW][C]56[/C][C]0[/C][/ROW]
[ROW][C]57[/C][C]0[/C][/ROW]
[ROW][C]58[/C][C]0[/C][/ROW]
[ROW][C]59[/C][C]0[/C][/ROW]
[ROW][C]60[/C][C]0[/C][/ROW]
[ROW][C]61[/C][C]0.0600000000000023[/C][/ROW]
[ROW][C]62[/C][C]0.103923048454127[/C][/ROW]
[ROW][C]63[/C][C]0.116619037896907[/C][/ROW]
[ROW][C]64[/C][C]0.118321595661988[/C][/ROW]
[ROW][C]65[/C][C]0.161245154965959[/C][/ROW]
[ROW][C]66[/C][C]0.166132477258358[/C][/ROW]
[ROW][C]67[/C][C]0.175499287747839[/C][/ROW]
[ROW][C]68[/C][C]0.192873015219856[/C][/ROW]
[ROW][C]69[/C][C]0.201990098767258[/C][/ROW]
[ROW][C]70[/C][C]0.206881608655783[/C][/ROW]
[ROW][C]71[/C][C]0.207846096908282[/C][/ROW]
[ROW][C]72[/C][C]0.217255609823994[/C][/ROW]
[ROW][C]73[/C][C]0.219089023002082[/C][/ROW]
[ROW][C]74[/C][C]0.224499443206426[/C][/ROW]
[ROW][C]75[/C][C]0.224499443206435[/C][/ROW]
[ROW][C]76[/C][C]0.24657656011875[/C][/ROW]
[ROW][C]77[/C][C]0.247386337537068[/C][/ROW]
[ROW][C]78[/C][C]0.269814751264632[/C][/ROW]
[ROW][C]79[/C][C]0.278567765543674[/C][/ROW]
[ROW][C]80[/C][C]0.303315017762073[/C][/ROW]
[ROW][C]81[/C][C]0.365513337649927[/C][/ROW]
[ROW][C]82[/C][C]0.369323706252373[/C][/ROW]
[ROW][C]83[/C][C]0.372886759889151[/C][/ROW]
[ROW][C]84[/C][C]0.407921561087428[/C][/ROW]
[ROW][C]85[/C][C]0.417952392697099[/C][/ROW]
[ROW][C]86[/C][C]0.453942398276269[/C][/ROW]
[ROW][C]87[/C][C]0.484446846156192[/C][/ROW]
[ROW][C]88[/C][C]0.50199618387083[/C][/ROW]
[ROW][C]89[/C][C]0.521034009397104[/C][/ROW]
[ROW][C]90[/C][C]0.604744891689389[/C][/ROW]
[ROW][C]91[/C][C]0.604919264696723[/C][/ROW]
[ROW][C]92[/C][C]0.654014234474172[/C][/ROW]
[ROW][C]93[/C][C]0.682197853541218[/C][/ROW]
[ROW][C]94[/C][C]0.710282544278514[/C][/ROW]
[ROW][C]95[/C][C]0.72963262916197[/C][/ROW]
[ROW][C]96[/C][C]0.762098286567156[/C][/ROW]
[ROW][C]97[/C][C]0.948132616029353[/C][/ROW]
[ROW][C]98[/C][C]1.00957312289436[/C][/ROW]
[ROW][C]99[/C][C]1.02602423863257[/C][/ROW]
[ROW][C]100[/C][C]1.08084524748100[/C][/ROW]
[ROW][C]101[/C][C]1.70661737649164[/C][/ROW]
[ROW][C]102[/C][C]1.80940046661996[/C][/ROW]
[ROW][C]103[/C][C]1.90271097461706[/C][/ROW]
[ROW][C]104[/C][C]1.93140665535454[/C][/ROW]
[ROW][C]105[/C][C]1.99483047629486[/C][/ROW]
[ROW][C]106[/C][C]2.02163765049942[/C][/ROW]
[ROW][C]107[/C][C]2.0270365970748[/C][/ROW]
[ROW][C]108[/C][C]2.19961719660850[/C][/ROW]
[ROW][C]109[/C][C]2.83024262816904[/C][/ROW]
[ROW][C]110[/C][C]2.89982602415191[/C][/ROW]
[ROW][C]111[/C][C]13.7852392269897[/C][/ROW]
[ROW][C]112[/C][C]54.12926652129[/C][/ROW]
[ROW][C]113[/C][C]71.1076915474222[/C][/ROW]
[ROW][C]114[/C][C]112.698002334929[/C][/ROW]
[ROW][C]115[/C][C]172.548453725608[/C][/ROW]
[ROW][C]116[/C][C]194.306176958378[/C][/ROW]
[ROW][C]117[/C][C]292.133308008722[/C][/ROW]
[ROW][C]118[/C][C]740.796692586674[/C][/ROW]
[ROW][C]119[/C][C]1771.84053553447[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=22623&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=22623&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
Label	Height
1	0
2	0
3	0
4	0
5	0
6	0
7	0
8	0
9	0
10	0
11	0
12	0
13	0
14	0
15	0
16	0
17	0
18	0
19	0
20	0
21	0
22	0
23	0
24	0
25	0
26	0
27	0
28	0
29	0
30	0
31	0
32	0
33	0
34	0
35	0
36	0
37	0
38	0
39	0
40	0
41	0
42	0
43	0
44	0
45	0
46	0
47	0
48	0
49	0
50	0
51	0
52	0
53	0
54	0
55	0
56	0
57	0
58	0
59	0
60	0
61	0.0600000000000023
62	0.103923048454127
63	0.116619037896907
64	0.118321595661988
65	0.161245154965959
66	0.166132477258358
67	0.175499287747839
68	0.192873015219856
69	0.201990098767258
70	0.206881608655783
71	0.207846096908282
72	0.217255609823994
73	0.219089023002082
74	0.224499443206426
75	0.224499443206435
76	0.24657656011875
77	0.247386337537068
78	0.269814751264632
79	0.278567765543674
80	0.303315017762073
81	0.365513337649927
82	0.369323706252373
83	0.372886759889151
84	0.407921561087428
85	0.417952392697099
86	0.453942398276269
87	0.484446846156192
88	0.50199618387083
89	0.521034009397104
90	0.604744891689389
91	0.604919264696723
92	0.654014234474172
93	0.682197853541218
94	0.710282544278514
95	0.72963262916197
96	0.762098286567156
97	0.948132616029353
98	1.00957312289436
99	1.02602423863257
100	1.08084524748100
101	1.70661737649164
102	1.80940046661996
103	1.90271097461706
104	1.93140665535454
105	1.99483047629486
106	2.02163765049942
107	2.0270365970748
108	2.19961719660850
109	2.83024262816904
110	2.89982602415191
111	13.7852392269897
112	54.12926652129
113	71.1076915474222
114	112.698002334929
115	172.548453725608
116	194.306176958378
117	292.133308008722
118	740.796692586674
119	1771.84053553447

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

Postscript link

PDF link

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')
}

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code