Repository of Reproducible Computations

Free Statistics

of Irreproducible Research!

Author's title

Author

*Unverified author*

R Software Module

rwasp_hierarchicalclustering.wasp

Title produced by software

Hierarchical Clustering

Date of computation

Mon, 07 Aug 2017 06:31:49 +0200

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/2017/Aug/07/t1502080370ub8z0okzyu3jhns.htm/, Retrieved Sat, 11 May 2024 14:04:47 +0200

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Sat, 11 May 2024 14:04:47 +0200

QR Codes:

Paste this QR Code to cite your computation.

Original text written by user:

IsPrivate?

This computation is private

User-defined keywords

Estimated Impact

Dataseries X:

Download CSV

Histogram

Boxplots

Case No	Crash month	CRASH Day	Vehicle Age	Type (car. Ute. Van. 4WD. SUV. Truck	WOF or COF Y.N.U	Seatbelt reminder Y.N.U	Other vehicle/s involved (Y.N)	Speed limit	Speed above limit	Urban/ Rural	Deceased Age	Deceased Gender	Deceased Ethnicity	Deceased Occupation	Was Driver Aware passengers not wearing seatbelt	purpose	Journey purpose type	Intended Journey duration (Short vs Long)	Drivers Licence type	Previous driving/other criminal offences Y	Alcohol involvement Y.N (Includes Fatal passengers not wearing seatbelts	Drugs Y.N.U	Evidence of fatigue (Y.N) Passenger Asleep (PY)	Emotional state effects driving Y	Medical conditions?	Unsafe overtaking
1	2	7	1	1	1	1	1	1	1	1	2	1	2	8	2	1	12	2	4	3	2	2	2	2	2	2
2	3	5	1	4	1	2	2	1	1	1	6	2	1	1	1	1	4	2	1	2	2	2	3	2	1	2
3	4	7	2	1	2	3	2	1	1	1	2	2	2	8	1	1	12	1	2	1	1	1	3	2	2	2
4	5	3	2	1	1	3	1	1	1	1	7	2	1	2	2	1	12	2	1	3	2	2	2	2	2	2
5	5	2	2	1	1	3	1	1	3	1	2	2	2	8	2	1	1	1	3	1	2	1	2	2	2	2
6	5	1	1	5	1	3	2	1	1	1	7	2	1	2	1	1	1	1	1	2	2	2	1	3	1	2
7	7	4	1	1	1	2	1	1	1	1	3	2	1	10	4	1	1	1	1	2	2	1	2	3	2	2
8	7	1	2	1	1	2	1	1	5	1	2	2	1	8	1	2	7	2	5	2	2	1	2	3	2	2
9	8	4	2	4	1	2	2	1	1	1	6	2	2	16	3	1	4	1	1	3	2	2	2	3	2	2
10	8	1	1	4	1	3	2	1	1	1	6	2	2	1	1	1	4	2	1	2	2	2	2	2	1	2
11	9	6	1	5	1	3	2	1	3	1	2	1	2	16	1	2	5	1	5	2	1	2	2	1	2	2
12	9	4	2	4	2	2	1	1	1	1	2	2	2	7	2	1	12	1	5	1	2	2	2	2	2	2
13	10	1	2	1	1	3	1	1	5	1	2	2	2	3	4	2	7	3	2	1	2	2	2	2	2	2
14	10	1	2	1	1	3	2	2	5	2	2	2	2	3	1	2	7	1	2	1	1	1	2	2	2	2
15	12	2	1	2	1	2	2	1	1	1	4	1	1	10	1	2	5	1	1	2	1	2	2	1	2	2
16	12	4	2	5	1	2	1	1	1	1	4	1	1	8	1	1	12	2	1	2	2	1	2	2	2	2
17	1	7	1	5	1	3	2	2	6	1	6	2	1	8	1	1	11	3	1	2	1	2	3	2	2	2
18	1	3	2	1	1	3	2	1	1	1	2	1	1	11	4	2	5	2	1	3	1	2	2	2	2	2
19	1	4	2	1	1	3	2	1	1	1	5	2	2	8	1	3	11	3	1	2	1	1	2	3	3	2
20	4	6	2	1	1	3	1	2	6	2	2	2	1	5	1	2	6	1	5	2	1	2	2	2	2	2
21	7	2	2	1	2	3	2	1	1	1	4	2	2	10	1	1	12	1	5	2	1	1	1	3	3	2
22	7	4	1	2	1	3	2	1	1	1	4	2	1	2	1	2	5	2	1	2	1	2	1	3	1	2
23	8	1	1	7	1	1	1	1	1	1	2	2	3	10	1	1	12	2	1	2	2	2	1	2	2	2
24	8	7	2	7	1	3	1	1	6	1	4	2	2	16	1	2	5	1	1	2	1	2	2	2	2	2
25	6	6	2	2	1	3	2	1	1	1	5	2	2	10	1	2	5	2	1	2	1	2	1	2	2	2
26	7	7	2	1	2	3	2	1	2	1	6	2	1	8	1	1	11	3	6	1	1	1	2	2	2	2
27	7	5	2	5	2	2	2	1	1	1	2	2	2	6	1	2	6	1	2	1	1	2	2	2	2	2
28	8	7	2	1	2	3	2	1	1	1	2	2	1	10	1	4	10	1	2	2	1	2	2	1	1	2
29	9	5	2	1	1	3	2	1	5	1	3	2	2	10	1	2	2	1	1	2	1	2	2	1	2	2
30	9	1	2	1	1	3	2	1	1	2	9	1	1	4	1	3	11	1	1	2	2	2	2	2	1	2
31	10	7	1	1	1	3	1	2	1	2	9	2	1	4	4	1	12	1	1	2	2	2	2	2	1	2
32	12	6	2	1	1	3	2	2	5	2	2	2	1	16	1	2	7	1	2	2	1	2	1	2	2	2
33	12	4	1	2	2	3	2	2	6	2	2	2	1	10	1	2	7	1	2	2	1	2	2	2	2	2
34	1	6	1	1	1	2	2	2	6	1	6	2	2	5	1	2	5	2	1	2	1	2	2	1	2	2
35	2	5	1	1	1	2	2	1	1	1	2	1	1	3	2	1	11	2	1	3	2	2	2	2	2	2
36	2	2	1	1	1	1	1	1	6	1	2	2	1	3	1	4	10	2	1	2	2	2	2	1	1	2
37	3	5	2	2	1	3	1	2	1	1	5	2	2	8	2	2	5	1	1	1	1	1	2	2	2	2
38	3	3	1	1	1	1	1	1	1	1	8	2	1	10	1	1	4	1	1	2	2	2	2	2	3	2
39	3	4	1	1	2	1	2	1	5	1	5	2	1	12	1	2	7	1	1	1	1	2	2	2	2	2
40	3	5	2	5	1	3	2	1	2	1	6	2	2	8	1	1	12	2	1	1	2	1	1	2	2	2
41	3	6	2	1	2	3	2	1	2	1	2	2	1	8	1	2	6	1	2	2	1	1	1	3	3	2
42	6	5	2	1	2	3	2	1	2	1	2	2	1	8	4	1	12	2	1	3	1	2	1	2	2	2
43	7	6	2	1	1	3	1	1	1	1	2	2	2	3	4	2	5	2	3	2	1	1	1	2	2	2
44	7	4	1	3	1	2	1	1	1	1	4	2	1	16	3	1	4	1	1	2	2	1	2	2	2	2
46	8	2	2	1	1	3	1	1	1	1	4	2	1	8	1	3	11	3	1	2	2	2	2	1	2	2
47	9	4	2	1	1	3	1	1	1	1	6	2	1	5	1	1	12	2	1	2	2	2	2	2	1	2
48	8	3	2	1	2	3	2	1	2	1	2	2	1	16	1	1	12	2	1	1	2	2	2	2	2	2
50	10	5	2	1	2	3	2	1	3	1	2	1	1	3	4	2	5	2	6	1	1	1	1	2	2	2
51	11	4	2	1	1	3	2	1	2	1	2	1	2	3	3	2	7	2	6	1	1	2	2	2	2	1
52	12	2	1	1	1	3	1	2	1	2	8	1	4	4	2	1	12	2	1	3	2	2	2	2	2	2
53	1	4	2	1	1	3	2	1	2	1	2	2	1	3	2	2	7	1	3	2	2	2	2	2	2	2
54	1	5	2	2	2	3	2	1	1	1	5	2	2	10	1	3	11	3	6	1	1	2	2	2	2	2
55	3	1	2	1	1	3	2	1	2	1	8	2	2	4	1	2	5	1	1	2	1	2	1	2	2	2
56	3	5	2	3	2	2	1	1	1	1	5	2	1	10	1	1	3	1	2	2	1	1	2	2	2	2
57	6	6	2	5	2	3	2	1	1	1	7	2	2	2	1	1	3	2	1	2	1	2	1	2	2	2
58	6	4	1	1	2	3	2	1	2	1	9	2	1	4	1	4	10	1	1	2	2	2	2	1	1	2
59	7	3	2	1	1	3	1	1	1	1	4	2	5	15	2	1	12	2	4	2	2	2	2	2	2	1
60	7	6	2	1	1	3	2	2	6	2	3	2	2	2	1	2	5	1	7	2	1	2	2	1	2	2
61	7	2	1	4	1	3	2	2	2	2	4	2	2	1	1	1	4	2	1	2	2	2	1	2	2	2
62	9	6	1	2	1	1	2	1	2	1	3	2	1	8	1	2	5	2	1	2	1	2	2	2	2	2
63	11	5	2	1	1	3	1	1	5	1	3	2	1	16	1	2	5	1	1	2	1	2	2	1	2	2
64	11	7	2	4	1	3	1	1	1	1	4	2	1	16	1	4	10	2	2	2	2	2	2	1	2	2
65	12	3	2	5	1	3	1	1	1	1	2	2	5	9	2	2	8	2	4	3	2	2	1	2	2	2
66	2	2	2	1	1	3	2	1	1	1	2	2	1	8	1	1	12	2	1	2	2	2	2	2	2	2
67	4	3	2	2	1	3	2	1	2	1	5	2	1	8	1	2	9	2	1	2	2	2	2	2	2	2
68	5	5	2	1	1	3	2	1	5	1	2	2	1	8	1	2	6	2	5	2	1	2	2	2	2	2
69	8	7	2	1	1	3	2	1	5	1	2	1	1	8	1	2	6	1	1	2	1	2	1	2	2	2
70	8	2	1	1	1	1	2	2	1	2	8	1	1	4	1	1	12	1	1	2	2	2	2	1	2	2
71	10	2	2	1	1	3	2	1	3	1	6	2	2	8	2	2	6	2	2	2	1	2	1	2	2	2
72	11	5	2	3	1	2	2	1	1	1	7	2	1	16	1	1	4	2	1	2	2	2	2	2	2	2
73	12	4	2	3	1	2	2	1	1	1	4	2	1	10	2	1	4	2	1	2	1	1	1	2	2	2
74	12	7	2	2	2	2	2	1	1	1	7	2	1	10	2	2	6	2	1	2	1	2	2	2	2	2
75	12	5	2	1	2	2	2	1	5	1	2	2	1	10	1	2	5	1	5	2	1	2	2	1	2	2
76	2	3	2	1	1	3	2	2	3	2	2	2	2	3	2	2	2	2	5	2	2	1	2	1	2	2
77	2	2	2	1	1	3	2	2	5	2	2	2	2	3	2	2	7	1	5	1	1	2	2	2	2	2
78	3	6	2	1	1	2	1	1	3	1	2	2	1	15	1	2	2	2	6	1	1	2	2	1	3	2
79	3	3	1	1	1	1	2	2	2	1	5	2	2	7	2	1	12	2	2	1	1	1	2	2	2	2
80	3	6	1	1	1	1	1	1	1	1	3	1	1	14	1	1	12	2	2	2	2	2	1	2	2	2
81	6	2	2	3	1	3	2	1	1	1	8	1	2	4	3	2	5	2	1	2	1	2	2	2	2	2
82	6	4	1	3	2	2	1	1	1	1	3	2	1	16	1	1	4	2	1	2	2	2	2	2	2	2
83	7	7	2	1	1	3	2	1	1	1	6	1	2	11	1	1	12	2	1	2	1	1	2	2	2	2
84	8	4	2	1	2	3	2	1	1	1	4	2	1	10	1	2	5	2	1	2	1	2	2	2	2	2
85	8	4	2	1	1	2	2	1	1	1	9	2	1	4	1	1	12	2	1	2	2	2	2	2	1	2
86	8	3	2	1	2	3	2	1	3	1	3	2	1	8	2	1	12	1	6	1	1	2	2	2	2	2
87	10	1	2	1	1	3	2	2	2	2	2	2	2	7	1	1	12	1	5	1	2	1	1	1	2	2
88	10	4	1	1	1	3	2	2	6	2	2	2	3	3	1	2	7	1	3	1	1	2	2	2	2	2
89	10	2	1	8	2	3	2	1	1	1	9	2	1	4	1	1	12	2	7	1	2	2	1	3	1	2
90	11	6	2	1	1	3	1	1	1	1	6	2	1	8	1	1	12	2	1	2	2	1	1	2	2	2
91	11	2	1	2	1	3	1	1	5	1	5	2	2	14	1	1	12	1	1	2	2	1	2	1	2	1
92	12	3	2	5	1	2	2	1	2	1	4	2	1	2	1	1	4	2	6	2	2	1	1	2	1	2
93	12	1	1	3	1	2	2	1	1	1	5	2	1	16	1	2	5	2	1	1	1	1	1	2	2	2
94	12	7	1	6	1	3	1	1	1	1	6	1	4	9	2	2	8	2	4	3	2	2	2	2	2	1
95	1	1	2	1	2	3	2	2	1	1	2	2	1	3	1	3	11	2	1	2	2	2	2	2	2	2
96	1	4	2	5	1	3	2	1	1	1	6	2	2	10	1	2	9	2	1	2	1	2	1	2	1	2
97	2	2	2	5	1	3	2	1	5	1	4	2	1	2	1	1	12	2	4	2	1	1	2	2	1	2
98	2	7	2	2	2	2	1	2	1	1	1	1	1	3	2	2	9	2	2	2	2	2	2	2	2	2
99	2	1	2	5	1	3	2	1	1	1	7	2	1	2	1	1	12	2	1	2	2	2	2	2	2	2
100	2	4	2	1	1	3	1	2	2	1	4	1	2	8	1	4	10	1	2	2	2	1	1	1	1	2
101	2	4	2	1	1	2	2	1	1	1	2	1	1	3	2	1	12	1	2	2	2	2	2	2	2	2
102	5	1	1	4	1	3	1	1	1	1	5	2	1	1	1	1	4	2	1	2	2	1	1	2	2	2
103	8	7	1	1	1	3	2	1	3	1	6	2	2	16	1	1	11	2	1	2	1	2	2	2	2	2
104	10	1	1	4	1	3	2	1	1	1	5	2	1	1	1	1	4	2	1	2	2	2	1	2	2	2
105	1	6	1	6	1	1	2	1	1	1	7	1	5	9	2	2	8	2	4	3	2	2	1	2	2	2
106	2	5	2	5	1	3	2	2	6	1	1	2	2	3	2	2	7	2	6	1	1	2	2	1	2	2
107	5	6	2	5	1	3	2	1	1	1	6	2	1	2	1	2	6	1	1	2	1	2	2	2	2	2
108	6	6	2	1	1	3	2	2	5	2	4	2	3	8	2	2	6	1	1	1	1	1	2	2	2	2
109	7	1	2	1	1	3	1	1	1	1	8	2	1	4	1	1	12	2	1	1	2	2	2	2	1	2
110	8	6	2	1	1	3	2	1	2	1	2	2	1	8	2	2	5	2	1	3	1	1	1	2	2	2
111	8	6	2	3	1	2	2	1	1	1	2	1	1	11	2	1	12	2	6	3	3	2	1	2	2	2
112	10	4	2	1	2	3	2	1	1	1	4	2	1	16	1	2	6	1	2	2	1	2	1	1	2	2
113	11	2	2	1	1	3	1	1	1	1	6	1	3	11	2	1	12	2	7	2	2	2	2	2	2	2
114	1	6	2	1	1	3	2	2	1	2	4	1	2	5	1	1	11	1	3	1	2	1	2	2	2	2
115	1	6	2	1	1	3	2	2	5	2	2	2	2	7	2	2	6	1	5	3	1	1	2	2	2	2
116	1	5	2	1	2	3	2	2	6	2	3	2	1	7	2	2	2	2	3	2	1	2	2	1	2	2
117	1	4	1	2	1	2	1	1	1	1	6	1	1	2	1	1	12	2	1	2	2	1	2	2	1	2
118	2	3	2	3	1	2	1	2	3	1	3	2	1	16	1	1	4	2	2	1	2	2	1	2	2	2
119	3	6	2	1	1	3	2	1	2	1	5	2	2	10	1	1	12	2	2	2	1	2	1	2	2	2
120	3	5	2	4	1	3	2	1	1	1	4	2	2	1	1	1	4	2	1	2	2	1	1	1	2	2
121	3	1	1	1	1	3	1	1	3	1	2	2	1	8	1	1	3	2	1	2	2	1	2	2	2	2
122	4	6	2	1	2	3	2	2	1	2	2	1	2	11	1	2	6	2	1	1	1	2	2	2	2	2
123	4	4	2	8	1	3	2	1	2	1	5	1	1	5	1	1	12	2	1	2	2	2	2	2	2	2
124	4	1	1	7	1	3	1	1	1	1	3	1	2	15	1	1	4	2	1	2	2	2	2	2	2	2
125	4	5	2	5	1	2	2	1	1	1	4	2	1	2	1	2	6	2	1	2	1	2	1	2	2	2
126	4	7	2	1	1	3	2	1	1	1	2	2	1	8	2	2	5	2	2	3	1	2	2	2	2	2
127	4	1	2	1	1	3	2	1	2	1	6	2	1	8	2	2	6	2	6	1	1	2	2	2	2	2
128	5	6	2	1	1	3	1	1	1	1	3	1	1	11	1	1	12	2	1	2	1	2	1	2	2	2
129	5	1	2	1	1	3	2	1	2	1	2	1	1	8	2	1	12	2	3	2	2	2	2	2	2	2
130	5	4	2	1	2	3	2	1	2	1	5	1	1	13	1	1	12	2	1	2	2	2	2	2	2	2
131	5	7	2	5	1	3	2	1	2	1	4	2	1	12	1	2	6	2	1	2	1	2	1	2	2	2
132	5	2	2	1	1	3	2	1	5	1	2	2	2	3	2	2	7	2	3	1	2	1	2	1	2	2
133	5	5	2	1	1	3	1	1	3	1	2	2	2	8	2	2	5	2	1	2	1	1	1	2	2	2
134	6	4	2	1	1	3	2	2	5	2	4	2	1	16	1	1	11	1	1	1	1	2	2	2	2	2
135	6	4	2	1	1	3	2	2	2	2	9	2	1	4	1	1	12	2	1	1	2	2	2	2	2	2
136	6	1	1	3	1	2	2	1	2	1	4	2	1	6	1	1	4	2	1	2	2	2	1	2	2	2
137	7	4	1	2	1	1	2	1	1	1	2	2	1	13	1	1	12	2	1	2	2	2	2	2	2	2
138	7	5	2	2	2	3	2	1	2	1	2	1	1	3	2	2	5	2	5	3	1	2	1	2	2	2
139	7	1	1	5	1	3	2	1	2	1	3	2	1	10	1	2	5	1	1	2	1	2	1	2	2	2
140	9	1	2	1	2	3	2	2	5	2	1	2	2	3	2	2	7	2	3	2	2	2	1	2	2	2
141	9	7	2	2	1	3	2	1	2	1	6	2	1	2	3	2	6	2	1	2	1	2	1	2	2	2
142	9	2	1	6	1	1	1	1	1	1	7	1	4	9	2	1	12	2	4	2	2	2	1	2	2	2
143	10	5	2	1	1	3	2	2	1	2	7	1	2	8	2	1	12	2	1	1	2	2	1	2	2	2
144	10	5	2	1	2	3	1	2	6	2	2	1	2	3	2	2	5	2	2	3	1	2	2	2	2	2
145	10	7	2	1	1	3	2	1	1	1	9	1	1	4	4	2	9	2	1	2	2	2	1	2	2	2
146	10	4	2	1	1	3	2	1	2	1	2	1	2	8	4	2	6	2	6	1	1	2	1	2	2	2
147	10	2	1	5	1	1	2	1	1	1	8	2	1	4	1	1	12	2	1	2	1	2	2	1	2	2
148	11	1	2	4	1	2	2	1	1	2	8	2	2	1	1	1	4	2	1	2	2	2	2	2	2	2
149	11	2	2	1	1	3	1	1	1	1	3	1	1	11	1	4	10	2	1	2	2	1	1	1	1	2
150	11	4	2	1	1	3	2	1	1	1	2	2	2	3	2	1	12	2	5	2	2	1	2	2	2	2
151	11	1	2	1	1	1	1	1	1	1	3	1	2	15	1	1	12	2	2	2	2	2	2	2	2	2
152	11	7	2	1	1	3	2	2	6	2	2	2	3	16	3	2	5	1	3	1	1	2	2	2	2	2
153	12	4	2	5	2	3	1	1	2	2	6	1	3	8	4	1	12	1	1	2	2	2	1	2	2	2
154	12	5	2	5	1	3	1	1	1	1	2	1	4	3	2	1	12	2	4	2	2	2	2	2	2	2
155	1	4	1	8	1	3	2	1	5	2	2	1	3	3	2	2	6	2	1	3	1	2	1	1	2	1
156	1	6	1	2	2	1	2	1	3	1	5	2	1	10	1	1	3	2	6	1	3	2	1	2	2	2
157	1	5	2	1	2	3	2	1	2	1	2	2	1	2	1	1	12	2	6	1	1	2	1	2	2	2
159	2	5	2	5	1	2	2	1	2	1	7	2	1	10	1	2	5	2	1	2	1	2	1	1	2	2
160	2	7	2	5	1	3	2	1	5	1	4	2	1	5	1	2	5	2	5	2	1	1	2	1	1	2
161	2	3	2	1	1	3	2	2	5	2	2	2	1	13	3	2	7	1	2	2	2	1	2	2	2	2
162	3	1	2	1	1	3	2	1	3	1	2	2	1	3	2	2	9	2	5	1	2	2	2	2	2	2
163	3	7	1	2	1	2	2	1	2	1	6	2	2	2	1	2	5	2	1	1	1	2	1	2	2	2
164	4	4	2	1	1	3	2	2	1	2	3	2	2	8	1	1	12	2	2	2	2	1	1	2	1	2
165	3	6	2	5	1	3	2	1	1	1	4	1	2	5	1	2	5	2	6	1	1	2	1	2	2	2
166	4	5	2	1	2	3	2	1	2	1	2	2	1	3	1	2	5	1	3	1	1	1	2	1	2	2
167	4	6	1	2	1	2	2	1	1	1	2	2	1	2	2	2	5	2	1	2	1	2	1	2	2	2
168	4	3	2	1	1	3	1	1	1	1	4	2	1	6	1	1	4	2	1	2	2	1	1	2	2	2
169	5	7	2	5	1	3	2	1	3	1	2	2	1	2	2	2	6	2	1	1	1	2	2	2	2	2
170	5	7	2	1	2	3	1	1	3	1	6	2	2	2	1	1	12	1	6	1	1	1	2	2	1	2
171	5	3	2	1	2	3	2	1	1	1	5	1	2	16	2	1	12	2	1	2	2	1	1	2	2	2
172	5	7	2	5	1	2	2	1	1	1	2	2	1	3	1	2	9	2	1	2	2	2	2	2	2	2
173	6	1	2	1	2	3	2	2	2	2	5	2	1	8	1	2	6	2	6	1	1	1	1	2	2	2
174	6	4	1	1	1	1	2	1	5	1	2	2	5	3	1	3	11	2	2	1	3	3	1	1	2	2
175	7	2	2	2	2	3	2	1	1	1	2	2	2	2	1	2	5	1	1	2	1	1	1	2	2	2
176	7	5	2	1	1	3	1	1	1	1	3	2	5	13	1	4	10	1	6	1	2	2	2	1	1	2
177	7	7	2	1	1	3	1	1	2	1	5	1	1	8	1	1	12	2	1	2	2	1	2	2	1	2
178	7	5	2	1	1	3	2	1	6	1	7	2	2	2	1	2	6	2	1	2	1	1	1	2	2	2
179	7	5	2	1	2	2	2	2	6	2	4	1	2	11	2	1	3	1	6	1	2	2	2	1	2	1
180	8	1	2	5	1	3	2	1	1	1	6	2	1	10	1	1	12	2	1	2	2	1	2	2	3	2
181	8	2	2	2	2	2	2	1	5	1	4	2	2	10	1	2	6	2	1	2	1	2	2	2	3	2
182	8	1	1	1	1	1	2	2	5	2	2	1	3	3	2	2	5	1	2	2	1	2	1	1	2	2
183	8	1	2	1	1	3	2	2	6	1	2	1	1	15	2	2	6	2	3	3	1	2	1	2	2	2
184	8	4	1	1	2	3	2	2	6	2	3	2	3	16	1	2	6	2	6	1	1	2	1	2	2	2
185	8	5	2	5	1	3	2	1	2	1	4	2	1	8	1	2	5	2	2	1	1	1	1	2	2	2
186	9	1	1	6	1	2	2	1	1	1	3	1	4	9	2	2	8	2	4	1	2	2	2	2	2	2

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	0 seconds
R Server	Big Analytics Cloud Computing Center

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input view raw input (R code)  \tabularnewline
Raw Outputview raw output of R engine  \tabularnewline
Computing time0 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&T=0

[TABLE]
[ROW]

Summary of computational transaction[/C][/ROW] [ROW]

Raw Input[/C]

view raw input (R code) [/C][/ROW] [ROW]

Raw Output[/C]

view raw output of R engine [/C][/ROW] [ROW]

Computing time[/C]

0 seconds[/C][/ROW] [ROW]

R Server[/C]

Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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	0 seconds
R Server	Big Analytics Cloud Computing Center

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):

par4 <- 'FALSE'
par3 <- 'FALSE'
par2 <- 'ALL'
par1 <- 'ward'
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