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Author

*The author of this computation has been verified*

R Software Module

rwasp_pairs.wasp

Title produced by software

Kendall tau Correlation Matrix

Date of computation

Wed, 22 Dec 2010 18:11:07 +0000

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/2010/Dec/22/t1293041468znsmsen40hxp85y.htm/, Retrieved Mon, 06 May 2024 10:12:41 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=114459, Retrieved Mon, 06 May 2024 10:12:41 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

102

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

-     [Kendall tau Correlation Matrix] [] [2010-12-05 17:44:33] [b98453cac15ba1066b407e146608df68]
- RMPD  [Kendall tau Correlation Matrix] [workshop 10, kend...] [2010-12-17 12:45:26] [58c953249d32df2a8d41ff3671d3073f]
-           [Kendall tau Correlation Matrix] [paper -Kendall ta...] [2010-12-22 18:11:07] [9e558c3b35e49a9a9a626d1906801b69] [Current]

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Dataseries X:

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Histogram

Boxplots

30.00	1	1	2	0	0
5.00	1	1	1	1	2
5.00	0	1	2	1	2
30.00	0	1	1	1	2
25.00	0	1	2	1	2
50.00	1	1	1	0	0
65.00	1	1	2	1	0
40.00	0	1	1	0	0
55.00	1	1	2	2	0
75.00	0	1	1	0	0
50.00	0	1	1	1	0
20.00	1	1	2	1	0
25.00	1	1	2	0	0
30.00	1	1	2	0	0
80.00	1	1	1	0	0
NA	0	1	1	0	0
25.00	0	1	1	0	1
50.00	1	1	2	0	1
35.00	1	1	2	0	0
40.00	0	1	1	0	0
40.00	1	1	1	1	1
50.00	1	1	2	1	1
30.00	1	1	1	0	0
45.00	1	1	2	0	0
30.00	1	1	2	0	0
25.00	0	1	1	0	0
25.00	1	1	1	1	0
20.00	1	1	2	1	0
35.00	1	1	2	0	0
30.00	1	1	1	0	0
45.00	0	1	1	0	0
40.00	1	1	1	0	0
30.00	1	1	2	0	0
60.00	1	1	2	0	0
45.00	0	1	1	0	0
45.00	1	1	2	0	0
25.00	1	1	2	0	1
NA	1	1	1	0	0
45.00	0	1	1	0	0
50.00	0	1	1	0	0
NA	0	1	1	0	0
45.00	1	1	2	0	0
60.00	1	1	2	2	0
60.00	1	1	2	0	0
45.00	1	1	2	0	0
45.00	0	1	1	0	0
NA	0	1	1	0	0
45.00	1	1	1	0	0
55.00	1	1	2	0	0
40.00	1	1	1	0	1
60.00	1	1	2	0	1
35.00	0	1	1	0	0
30.00	0	1	1	0	0
20.00	0	1	1	0	0
15.00	1	1	1	1	2
15.00	1	1	2	1	2
40.00	1	1	1	1	2
40.00	1	1	2	1	2
50.00	0	1	1	0	0
NA	1	1	2	0	0
40.00	0	1	1	1	0
80.00	1	1	2	1	0
50.00	0	1	1	1	0
50.00	1	1	2	1	0
30.00	1	1	1	1	0
35.00	1	1	2	1	0
40.00	1	1	2	0	0
30.00	1	1	2	0	0
45.00	1	1	1	0	0
NA	1	1	2	0	1
NA	0	1	1	0	0
30.00	0	1	1	1	0
30.00	1	1	2	1	0
25.00	1	1	2	0	0
NA	0	1	1	0	0
50.00	0	1	1	0	0
40.00	1	1	2	1	1
40.00	0	1	1	1	1
65.00	1	1	2	0	2
55.00	1	1	2	2	0
NA	0	1	1	0	0
70.00	0	1	1	1	1
40.00	1	1	2	0	2
65.00	1	1	2	1	1
40.00	0	1	1	1	0
40.00	1	1	2	1	0
55.00	1	1	1	0	0
30.00	1	1	1	0	0
35.00	1	1	2	0	0
35.00	0	1	1	1	0
30.00	1	1	2	1	2
35.00	1	1	1	1	0
20.00	1	1	2	1	0
55.00	1	1	1	1	1
5.00	1	1	1	0	2
55.00	1	1	2	1	1
50.00	0	1	1	1	0
30.00	1	1	2	1	1
50.00	1	1	2	1	0
50.00	1	1	2	1	0
50.00	1	1	1	1	0
40.00	0	1	1	0	0
25.00	1	1	2	0	1
40.00	1	1	2	0	0
55.00	1	1	2	1	0
40.00	0	1	2	0	0
NA	0	1	1	0	0
NA	1	1	2	0	0
NA	1	1	2	0	0
40.00	1	1	1	0	0
30.00	0	1	1	0	0
25.00	1	1	2	3	2
30.00	1	1	2	3	2
25.00	1	1	2	3	2
20.00	0	1	1	3	2
65.00	0	1	1	1	4
60.00	1	1	2	1	4
30.00	1	1	2	0	0
0.00	0	1	1	0	0
50.00	1	1	1	2	0
45.00	1	1	1	1	0
NA	1	1	2	1	0
25.00	1	1	2	0	2
60.00	1	1	1	1	1
50.00	1	1	2	1	1
NA	0	1	1	0	0
40.00	0	1	1	1	0
35.00	1	1	2	1	0
50.00	0	1	1	0	0
35.00	1	1	2	0	0
25.00	1	1	2	0	1
45.00	1	1	2	0	1
25.00	0	1	1	0	0
50.00	1	1	1	1	0
NA	1	1	2	1	0
75.00	0	1	1	0	0
55.00	1	1	1	0	0
20.00	1	1	2	0	0
40.00	0	1	1	0	1
60.00	1	1	2	0	1
25.00	1	1	1	0	1
45.00	1	1	2	0	1
50.00	0	1	1	0	0
25.00	1	1	1	1	0
25.00	1	1	2	1	0
50.00	1	1	1	1	0
50.00	1	1	2	1	0
NA	0	1	1	0	0
45.00	0	1	1	1	0
35.00	1	1	2	1	0
40.00	0	1	1	0	0
30.00	1	1	1	0	0
NA	1	1	1	0	0
25.00	1	1	2	0	0
55.00	0	1	1	1	1
55.00	1	1	2	1	1
45.00	0	1	1	0	0
NA	0	1	1	0	0
55.00	0	1	1	0	0
20.00	1	1	2	0	1
45.00	1	1	2	0	1
55.00	1	1	2	1	0
45.00	0	1	1	1	0
35.00	1	1	2	1	0
35.00	1	1	1	0	0
40.00	1	1	1	1	0
NA	0	1	1	0	0
35.00	1	1	2	1	0
40.00	1	1	2	0	0
50.00	0	1	2	0	0
50.00	1	1	1	0	0
50.00	0	1	1	0	0
50.00	0	1	1	0	0
35.00	0	1	1	0	0
60.00	0	1	1	0	0
45.00	0	1	1	1	0
NA	1	1	2	1	0
45.00	1	1	1	1	0
45.00	1	1	2	1	0
NA	0	1	1	0	0
40.00	1	1	2	0	0
50.00	1	1	2	0	0
30.00	1	1	2	0	0
35.00	1	1	1	0	0
NA	0	1	1	0	0
45.00	0	1	1	0	0
55.00	1	1	2	0	0
20.00	1	1	2	0	1
55.00	1	1	2	0	1
30.00	0	1	1	0	0
25.00	1	1	2	0	0
30.00	0	1	1	0	0
60.00	1	1	2	0	0
15.00	1	1	2	0	1
30.00	0	1	1	0	0
20.00	1	1	2	0	0
NA	1	1	1	0	0
20.00	0	1	1	1	0
20.00	1	1	2	1	0
25.00	1	1	2	0	0
50.00	0	1	1	0	0
55.00	0	1	1	0	0
40.00	1	1	1	0	0
30.00	0	1	1	1	0
NA	1	1	2	1	0
65.00	0	1	1	0	0
45.00	0	1	1	2	0
35.00	1	1	2	1	0
40.00	1	1	2	1	0
30.00	1	1	1	1	0
55.00	0	1	1	0	0
50.00	0	1	1	0	0
40.00	0	1	1	0	1
35.00	1	1	2	1	0
25.00	1	1	2	1	0
60.00	0	1	1	0	2
20.00	1	1	2	0	2
65.00	0	1	1	0	0
40.00	1	1	2	0	0
NA	1	1	1	0	0
25.00	1	1	2	0	1
65.00	0	1	1	0	1
30.00	0	1	1	0	0
NA	0	1	1	0	0
50.00	0	1	1	0	0
25.00	0	1	1	0	0
30.00	0	1	1	1	0
25.00	1	1	2	1	0
20.00	0	1	1	1	0
20.00	1	1	2	1	0
30.00	1	1	2	0	0
55.00	1	1	1	0	0
50.00	0	1	1	0	0
60.00	1	1	2	0	1
40.00	0	1	1	0	0
NA	1	1	1	0	0
25.00	0	1	1	0	0
NA	0	1	1	0	0
45.00	1	1	2	0	1
35.00	0	1	1	0	0
45.00	1	1	1	0	0
NA	0	1	1	0	0
35.00	1	1	2	0	0
50.00	0	1	1	0	0
40.00	0	1	1	0	0
35.00	1	1	2	0	0
55.00	0	1	1	1	0
55.00	1	1	2	1	0
35.00	0	1	1	0	0
15.00	1	1	1	2	2
20.00	1	1	2	2	2
25.00	1	1	2	2	2
65.00	0	1	1	1	3
50.00	1	1	2	1	3
NA	1	1	1	0	0
25.00	1	1	2	0	0
NA	1	1	1	0	0
35.00	1	1	2	1	0
30.00	1	1	2	0	0
35.00	1	1	1	0	0
40.00	1	1	2	0	0
35.00	1	1	1	0	0
50.00	0	1	1	1	0
40.00	1	1	2	1	0
60.00	1	1	1	0	0
30.00	1	1	1	0	0
60.00	0	1	1	0	0
60.00	0	1	1	0	0
25.00	0	1	1	1	0
NA	0	1	1	0	0
20.00	1	1	2	1	0
25.00	1	1	1	1	0
25.00	1	1	2	1	0
10.00	1	1	1	0	2
45.00	1	1	1	1	1
40.00	1	1	2	1	1
60.00	0	1	1	1	0
NA	1	1	2	1	0
35.00	1	1	1	0	0
65.00	0	1	1	0	0
55.00	1	1	1	1	0
45.00	1	1	2	1	0
55.00	1	1	2	1	0
NA	0	1	1	0	0
65.00	1	1	2	0	0
70.00	0	1	1	1	0
65.00	0	1	2	1	0
65.00	0	1	1	0	0
50.00	1	1	2	0	0
20.00	1	1	2	0	2
55.00	0	1	1	1	1
40.00	1	1	2	1	1
50.00	1	1	1	1	0
NA	1	1	2	1	0
50.00	0	1	1	1	1
20.00	1	1	1	0	2
40.00	1	1	2	1	1
NA	1	1	2	0	0
35.00	1	1	1	0	0
40.00	0	1	1	0	0
65.00	0	1	1	0	0
50.00	0	1	1	0	0
35.00	1	1	2	0	0
65.00	0	1	1	1	0
60.00	1	1	2	1	0
60.00	0	1	1	0	0
55.00	0	1	1	0	1
25.00	0	1	1	0	1
55.00	1	1	2	0	0
35.00	1	1	2	0	2
60.00	0	1	1	1	1
45.00	1	1	2	1	1
50.00	0	1	1	1	1
30.00	0	1	1	0	2
50.00	1	1	2	1	1
25.00	1	1	2	0	0
55.00	0	1	1	0	1
25.00	1	1	1	0	1
NA	0	1	1	0	0
35.00	1	1	2	0	0
NA	1	1	1	0	0
65.00	0	1	1	0	0
40.00	1	1	2	0	0
30.00	0	2	1	1	0
30.00	1	2	2	1	0
30.00	0	2	1	0	0
20.00	0	2	1	0	0
25.00	0	2	1	0	0
35.00	0	2	1	1	0
40.00	1	2	2	1	0
60.00	0	2	1	0	0
20.00	0	2	1	0	0
25.00	0	2	1	0	0
40.00	1	2	2	0	0
30.00	0	2	1	0	0
55.00	0	2	1	0	0
35.00	1	2	1	1	0
20.00	1	2	2	1	0
30.00	0	2	1	0	0
5.00	1	2	1	2	1
5.00	1	2	2	2	1
15.00	1	2	2	2	1
40.00	1	2	2	0	3
35.00	1	2	1	0	0
20.00	1	2	2	0	0
25.00	0	2	1	0	0
30.00	0	2	1	0	0
45.00	0	2	1	0	0
30.00	0	2	1	0	0
25.00	1	2	2	0	0
15.00	1	2	2	0	2
60.00	0	2	1	1	1
40.00	1	2	2	1	1
20.00	1	2	2	1	0
25.00	0	2	1	1	0
40.00	1	2	2	0	0
25.00	0	2	1	0	0
45.00	0	2	1	0	0
45.00	1	2	2	0	0
5.00	1	2	1	0	2
30.00	1	2	1	1	1
25.00	1	2	2	1	1
35.00	1	2	2	0	0
NA	0	2	1	0	0
20.00	0	2	1	0	0
45.00	0	2	2	1	0
55.00	0	2	1	1	0
55.00	0	2	1	0	0
40.00	0	2	1	1	0
30.00	0	2	2	1	0
25.00	1	2	2	1	1
45.00	1	2	2	0	2
30.00	0	2	1	1	0
30.00	1	2	2	1	0
30.00	0	2	1	0	0
30.00	0	2	1	0	0
25.00	1	2	1	0	0
10.00	1	2	2	0	2
35.00	0	2	1	1	1
35.00	1	2	2	1	1
25.00	1	2	2	0	0
30.00	0	2	2	0	0
NA	0	2	2	0	0
25.00	0	2	1	0	0
NA	0	2	1	0	0
10.00	1	2	1	1	1
20.00	0	2	1	0	0
50.00	1	2	2	0	2
30.00	1	2	2	0	0
35.00	0	2	1	0	0
20.00	0	2	1	0	0
30.00	0	2	1	1	0
25.00	1	2	2	1	0
25.00	0	2	1	0	0
20.00	0	2	1	0	0
20.00	1	2	2	0	1
35.00	1	2	2	0	1
55.00	0	2	1	0	0
10.00	1	2	1	0	2
45.00	0	2	1	1	1
35.00	1	2	2	1	1
30.00	1	2	2	1	0
30.00	1	2	2	1	0
25.00	0	2	1	0	0
25.00	0	2	1	0	0
20.00	0	2	1	0	0
40.00	0	2	1	1	0
30.00	1	2	2	1	0
20.00	0	2	1	0	0
40.00	0	2	1	0	0
NA	0	2	1	0	0
40.00	0	2	2	0	0
35.00	0	2	1	0	0
40.00	0	2	1	1	0
35.00	0	2	1	1	0
35.00	1	2	2	0	0
20.00	0	2	1	0	0
30.00	0	2	1	0	0
50.00	0	2	1	0	0
25.00	0	2	1	1	0
25.00	0	2	1	1	0
25.00	0	2	1	0	0
25.00	0	2	1	0	0
35.00	0	2	1	0	0
30.00	0	2	1	0	0
55.00	0	2	1	0	0
30.00	0	2	1	0	0
5.00	1	2	1	1	1
25.00	1	2	2	0	2
45.00	0	2	1	0	0
10.00	1	2	2	0	1
30.00	0	2	1	0	1
65.00	1	2	1	0	0
30.00	0	2	1	0	0
10.00	1	2	2	0	2
45.00	0	2	1	1	1
45.00	1	2	2	1	1
25.00	1	2	2	1	2
25.00	1	2	2	1	2
50.00	0	2	1	1	2
50.00	1	2	2	1	2
55.00	1	2	2	0	0
25.00	0	2	1	2	0
35.00	0	2	1	2	0
25.00	0	2	1	2	0
20.00	0	2	2	1	1
20.00	1	2	2	2	1
25.00	0	2	1	2	1
40.00	0	2	1	0	0
55.00	1	2	2	1	3
50.00	0	2	1	0	0
45.00	0	2	1	1	0
30.00	1	2	2	1	0
25.00	0	2	1	0	0
45.00	1	2	1	0	0
65.00	0	2	1	1	0
60.00	0	2	2	1	0
35.00	0	2	1	0	0
20.00	1	2	2	0	0
45.00	0	2	1	1	0
25.00	1	2	2	2	1
50.00	0	2	1	0	0
25.00	0	2	1	2	0
25.00	0	2	1	2	0
35.00	0	2	1	0	0
25.00	1	2	2	0	0
35.00	0	2	1	1	0
25.00	1	2	2	1	0
25.00	0	2	2	0	0
NA	1	2	2	0	0
35.00	0	2	1	0	0
45.00	1	2	2	0	0
60.00	0	2	1	0	0
NA	0	2	1	0	0
35.00	0	2	1	0	0
30.00	0	2	2	1	1
30.00	0	2	1	1	1
NA	0	2	1	0	0
5.00	1	2	2	1	2
5.00	1	2	2	1	2
25.00	0	2	1	1	2
25.00	1	2	2	1	2
20.00	1	2	2	0	0
NA	1	2	2	0	0
35.00	1	2	2	0	0
40.00	0	2	1	0	0
25.00	0	2	1	0	0
65.00	0	2	1	0	0
50.00	0	2	1	1	0
45.00	1	2	2	1	0
60.00	0	2	2	0	0
NA	0	2	1	0	0
5.00	1	2	1	0	2
35.00	0	2	1	1	1
25.00	1	2	2	1	1
NA	0	2	1	0	0
30.00	0	2	1	0	0
40.00	0	2	1	0	0
35.00	0	2	1	0	0
30.00	0	2	1	0	0
50.00	0	2	1	0	0
15.00	1	2	2	0	1
45.00	1	2	2	0	1
20.00	1	2	1	0	0
40.00	0	2	1	0	0
50.00	0	2	1	0	0
70.00	0	2	1	0	0
30.00	0	2	1	0	0
55.00	0	2	1	0	0
40.00	0	2	1	0	0
20.00	0	2	1	0	0
65.00	0	2	1	0	0
35.00	0	2	1	1	0
15.00	1	2	2	1	0
5.00	1	2	1	1	1
5.00	1	2	1	1	1
40.00	0	2	1	0	2
30.00	0	2	1	0	0
20.00	0	2	1	1	1
30.00	0	2	1	0	0
20.00	1	2	1	0	0
30.00	1	2	2	0	0
40.00	0	2	1	0	0
25.00	1	2	1	0	0
NA	1	2	1	0	0
25.00	0	2	1	0	0
30.00	1	2	1	0	0
30.00	0	2	1	0	0
NA	0	2	1	0	0
50.00	1	2	2	0	1
20.00	0	2	1	0	0
NA	0	2	1	0	0
45.00	0	2	1	0	0
25.00	1	2	2	0	1
20.00	1	2	2	0	0
45.00	0	2	1	0	1
35.00	1	2	2	0	0
35.00	0	2	1	0	0
30.00	1	2	1	0	0
30.00	0	2	1	0	0
5.00	1	2	2	1	1
10.00	1	2	2	1	1
35.00	1	2	2	0	2
40.00	0	2	1	0	0
35.00	0	2	1	1	0
30.00	1	2	2	3	0
30.00	1	2	2	0	0
25.00	0	2	1	0	0
5.00	1	2	1	1	1
5.00	1	2	1	1	1
25.00	1	2	2	2	3
50.00	1	2	2	0	0
20.00	0	2	1	0	0
25.00	1	2	2	0	0
30.00	0	2	1	0	0
25.00	0	2	1	0	0
30.00	0	2	1	0	0
25.00	1	2	2	0	1
20.00	1	2	2	0	2
20.00	1	2	2	0	0
30.00	1	2	2	0	0
60.00	0	2	1	0	0
30.00	1	2	2	0	0
35.00	0	2	1	0	0
40.00	1	2	2	0	0
25.00	0	2	1	0	0
45.00	0	2	1	0	0
25.00	0	2	1	0	0
20.00	0	2	1	0	0
15.00	0	2	1	0	0
50.00	1	2	2	0	0
25.00	0	2	1	0	0
30.00	1	2	2	0	0
30.00	1	2	2	0	0
30.00	0	2	1	1	0
30.00	0	2	2	1	0
40.00	0	2	1	0	0
35.00	1	2	2	0	0
30.00	0	2	1	1	0
25.00	0	2	1	1	0
35.00	1	2	2	0	0
NA	0	2	1	0	0
15.00	1	2	2	0	0
40.00	1	2	2	0	0
35.00	1	2	2	0	0
30.00	0	2	1	1	0
30.00	1	2	2	1	0
5.00	1	2	1	1	1
5.00	1	2	2	1	1
30.00	1	2	2	0	2
5.00	1	2	2	1	2
5.00	1	2	2	1	2
40.00	0	2	1	1	2
35.00	1	2	2	1	2
70.00	0	2	1	0	0
NA	0	2	1	0	0
35.00	1	2	1	0	0
NA	1	2	1	0	0
30.00	1	2	2	0	0
25.00	0	2	2	0	0
45.00	0	3	1	0	0
15.00	0	3	1	0	2
20.00	0	3	1	1	1
35.00	1	3	2	1	1
20.00	1	3	2	0	0
25.00	1	3	1	0	0
20.00	1	3	1	0	0
20.00	1	3	2	0	0
30.00	0	3	1	0	0
30.00	0	3	1	0	0
40.00	0	3	2	1	0
5.00	1	3	1	0	1
20.00	1	3	2	0	1
30.00	1	3	1	0	0
30.00	0	3	1	0	0
20.00	0	3	1	0	0
25.00	0	3	1	0	0
25.00	0	3	1	0	0
35.00	0	3	1	0	0
20.00	0	3	1	0	0
35.00	0	3	1	0	0
20.00	1	3	2	1	0
5.00	0	3	1	4	2
10.00	0	3	2	4	2
5.00	0	3	2	4	2
20.00	1	3	2	4	2
40.00	0	3	2	4	2
10.00	0	3	2	4	2
15.00	0	3	2	4	2
40.00	0	3	1	1	5
30.00	1	3	1	0	0
30.00	0	3	1	0	0
40.00	0	3	2	1	5
20.00	0	3	1	0	0
30.00	0	3	1	0	0
25.00	0	3	1	1	0
20.00	0	3	2	1	0
25.00	0	3	1	0	0
35.00	0	3	1	0	0
5.00	0	3	1	4	2
10.00	0	3	1	4	2
5.00	1	3	1	4	2
15.00	0	3	1	4	2
5.00	1	3	2	4	2
40.00	0	3	1	1	5
25.00	1	3	1	0	0
40.00	1	3	2	1	5
45.00	1	3	2	0	0
25.00	0	3	1	0	0
25.00	0	3	1	0	0
20.00	0	3	2	0	0
30.00	0	3	1	0	0
25.00	0	3	1	0	0
15.00	1	3	2	0	0
20.00	0	3	1	0	0
35.00	0	3	1	1	0
35.00	1	3	2	3	0
5.00	1	3	2	2	1
5.00	1	3	2	2	1
5.00	1	3	2	2	1
25.00	1	3	2	0	3
20.00	1	3	2	0	0
40.00	0	3	1	0	0
30.00	0	3	1	0	0
20.00	1	3	1	0	0
20.00	0	3	2	0	1
45.00	0	3	2	0	1
30.00	0	3	2	0	0
25.00	0	3	1	0	0
20.00	0	3	1	0	0
30.00	0	3	1	0	0
25.00	0	3	1	0	0
NA	0	3	1	0	0
20.00	0	3	1	0	0
35.00	1	3	1	0	0
25.00	0	3	1	0	0
20.00	0	3	1	0	0
30.00	0	3	1	0	0
10.00	0	3	1	1	1
10.00	0	3	2	1	1
NA	0	3	1	0	0
NA	0	3	2	0	2
NA	0	3	2	0	2
40.00	0	3	1	1	1
35.00	0	3	2	1	1
25.00	0	3	1	0	0
25.00	1	3	2	0	0
20.00	0	3	2	0	0
30.00	0	3	1	1	0
25.00	0	3	1	1	0
25.00	0	3	1	0	0
35.00	0	3	1	0	0
20.00	0	3	2	0	0
25.00	1	3	1	0	0
20.00	0	3	1	0	0
20.00	0	3	2	0	0
25.00	0	3	2	0	0
30.00	0	3	2	0	0
20.00	0	3	1	0	0
40.00	0	3	1	0	0
20.00	0	3	1	0	0
20.00	0	3	1	0	0
25.00	0	3	2	0	0
25.00	0	3	1	0	0
25.00	0	3	1	0	0
NA	0	3	1	1	0
NA	0	3	2	1	0
30.00	0	3	1	0	0
25.00	0	3	1	0	0
20.00	1	3	2	0	0
40.00	0	3	2	0	0
30.00	0	3	1	0	0
25.00	0	3	1	0	0
25.00	0	3	1	0	0
35.00	1	3	1	0	0
30.00	0	3	1	0	0
30.00	0	3	1	1	0
20.00	0	3	1	1	0
20.00	0	3	1	0	0
20.00	1	3	1	0	0
25.00	0	3	1	0	0
40.00	0	3	1	0	0
25.00	0	3	1	0	0
35.00	0	3	1	0	0
35.00	0	3	1	0	0
25.00	1	3	2	0	0
30.00	0	3	2	0	0
75.00	0	3	1	0	0
45.00	0	3	1	0	0
35.00	0	3	1	0	0
30.00	0	3	1	0	0
20.00	0	3	1	0	0
30.00	0	3	1	0	0
10.00	1	3	1	1	1
5.00	1	3	1	1	1
40.00	1	3	2	0	2
60.00	0	3	1	0	0
20.00	0	3	1	0	0
20.00	1	3	2	0	1
45.00	0	3	1	0	1
20.00	0	3	1	0	0
25.00	0	3	1	0	0
45.00	1	3	1	0	0
25.00	0	3	2	0	0
20.00	0	3	1	0	0
30.00	1	3	2	0	0
30.00	1	3	1	0	0
5.00	0	3	1	0	2
35.00	0	3	1	1	1
30.00	0	3	2	1	1
30.00	0	3	1	0	0
25.00	0	3	1	0	0
25.00	0	3	1	2	0
25.00	0	3	1	0	0
25.00	0	3	1	2	0
20.00	0	3	1	2	0
NA	0	3	1	1	0
NA	1	3	2	1	0
40.00	1	3	1	1	0
40.00	1	3	2	1	0
30.00	1	3	1	0	0
20.00	0	3	1	0	0
5.00	1	3	1	1	2
5.00	1	3	2	1	2
30.00	0	3	1	1	2
35.00	1	3	2	1	2
25.00	0	3	1	0	0
NA	0	3	1	0	0
NA	0	3	1	0	0
25.00	0	3	1	0	0
40.00	0	3	1	0	0
20.00	1	3	2	0	0
20.00	0	3	1	0	0
45.00	0	3	1	0	0
45.00	0	3	1	0	0
NA	0	3	1	0	0
35.00	0	3	1	0	0
20.00	1	3	1	0	0
30.00	1	3	2	0	0
25.00	0	3	2	0	0
25.00	1	3	2	0	0
35.00	0	3	1	0	0
65.00	0	3	1	0	0
25.00	1	3	1	0	0
25.00	0	3	1	1	0
25.00	1	3	2	1	0
20.00	0	3	1	0	0
20.00	0	3	1	0	0
45.00	0	3	1	0	0
NA	0	3	1	0	0
40.00	0	3	1	0	2
20.00	0	3	1	1	1
15.00	0	3	1	1	1
50.00	0	3	1	0	0
5.00	1	3	2	0	0
NA	0	3	1	0	0
45.00	0	3	1	0	0
45.00	0	3	1	0	0
NA	1	3	1	0	0
20.00	0	3	1	0	0
NA	0	3	2	0	0
NA	0	3	1	0	0
NA	0	3	1	0	0
30.00	0	3	1	0	0
NA	0	3	1	0	0
NA	1	3	1	0	0
25.00	0	3	2	2	2
10.00	0	3	2	2	2
NA	0	3	1	0	0
20.00	0	3	1	2	2
20.00	0	3	1	1	3
50.00	0	3	2	1	3
NA	0	3	1	0	0
NA	0	3	1	0	0
25.00	0	3	1	0	0
NA	0	3	1	0	0
NA	0	3	1	0	0
25.00	0	3	1	0	0
20.00	1	3	2	0	0
NA	1	3	2	0	0
10.00	1	3	1	0	2
35.00	0	3	1	1	1
45.00	0	3	1	0	0
35.00	1	3	2	1	1
40.00	0	3	1	0	0
10.00	0	3	1	5	2
5.00	0	3	1	5	2
15.00	0	3	1	5	2
10.00	0	3	2	5	2
20.00	0	3	2	5	2
15.00	0	3	1	5	2
40.00	0	3	1	1	6
45.00	0	3	2	1	6
55.00	0	3	1	0	0
35.00	0	3	1	0	0
NA	0	3	1	0	0
20.00	0	3	1	0	0
40.00	0	3	1	2	0
30.00	0	3	1	2	0
20.00	0	3	1	0	0
25.00	0	3	2	0	0
20.00	0	3	2	0	0
NA	0	3	1	1	0
NA	0	3	1	1	0
30.00	0	3	1	1	0
25.00	1	3	2	1	0
20.00	0	3	1	0	0
25.00	0	3	1	0	0
45.00	0	3	1	2	0
30.00	0	3	1	1	0
25.00	0	3	1	0	0
45.00	1	3	2	1	0
NA	0	3	2	0	0
25.00	0	3	1	0	0
NA	0	3	1	0	0
15.00	0	3	1	0	0
NA	1	3	2	0	0
30.00	1	3	1	0	0
NA	1	3	1	0	0
20.00	0	3	2	0	0
30.00	1	3	2	0	0
25.00	0	3	2	0	0
25.00	1	3	2	0	0
30.00	0	3	1	0	0
30.00	0	3	2	0	0
NA	0	3	2	0	0
5.00	1	3	2	0	1
25.00	1	3	2	1	1
45.00	0	3	1	0	0
30.00	0	3	1	0	0
30.00	1	3	2	0	0
NA	0	3	1	0	0
NA	1	3	2	0	0
45.00	0	3	1	0	0
NA	1	3	1	0	0
30.00	0	3	1	0	0
NA	0	3	1	0	0
30.00	0	3	2	1	0
25.00	0	3	2	1	0
NA	0	3	1	0	0
30.00	1	3	1	0	0
25.00	1	3	1	0	0
NA	0	3	1	0	0
20.00	0	3	1	0	0
50.00	0	3	1	0	0
20.00	0	3	1	1	0
NA	1	3	2	0	0
NA	1	3	1	0	0
35.00	0	3	1	0	0
30.00	1	3	1	0	0
25.00	0	3	1	0	0
35.00	0	3	1	0	0
35.00	0	3	1	0	0
30.00	0	3	1	0	0
5.00	1	3	1	1	1
5.00	1	3	2	1	1
50.00	0	3	1	0	0
35.00	0	3	1	0	0
20.00	0	3	1	0	0
30.00	1	3	2	0	2
NA	0	3	1	1	2
NA	0	3	2	1	2
NA	0	3	1	1	2
NA	0	3	2	1	2
25.00	0	3	1	0	0
35.00	1	3	1	0	0
30.00	0	3	1	0	0
20.00	0	3	2	1	0
25.00	0	3	2	1	0
35.00	1	3	1	0	0
20.00	0	3	1	0	0
25.00	0	3	1	0	0
30.00	0	3	1	0	0
25.00	1	3	1	0	0
35.00	0	3	1	0	0
25.00	0	3	1	0	0
5.00	1	3	2	0	1
40.00	1	3	1	0	1
NA	0	3	1	0	0
20.00	0	3	1	0	0
NA	0	3	1	0	0
NA	0	3	1	0	0
NA	1	3	2	0	0
NA	1	3	2	0	0
35.00	0	3	1	0	0
45.00	0	3	1	0	0
NA	1	3	1	0	0
NA	0	3	1	1	0
NA	0	3	2	1	0
NA	0	3	1	1	0
NA	0	3	1	1	0
NA	0	3	1	0	0
25.00	0	3	2	2	0
30.00	0	3	1	2	0
5.00	1	3	2	0	2
30.00	1	3	1	3	1
30.00	1	3	2	1	1
5.00	0	3	2	1	1
20.00	0	3	1	1	1
40.00	0	3	2	0	2
NA	0	3	1	0	0
25.00	1	3	1	0	0
NA	0	3	1	0	0
40.00	0	3	2	0	0
NA	0	3	1	0	0
NA	1	3	1	0	0
NA	0	3	1	0	0
25.00	1	3	2	0	0
NA	0	3	1	0	0
30.00	1	3	1	0	0
30.00	0	3	1	0	0
30.00	0	3	1	0	0
25.00	0	3	1	0	0
25.00	1	3	1	0	0
NA	0	3	1	3	1
NA	0	3	2	3	1
NA	0	3	2	3	1
NA	0	3	2	3	1
NA	0	3	2	0	4
35.00	0	3	1	0	0
35.00	0	3	1	0	0
NA	0	3	2	1	0
NA	0	3	1	1	0
40.00	0	3	1	0	0
40.00	0	3	1	0	0
25.00	0	3	1	0	0
25.00	0	3	2	0	0
45.00	0	3	2	0	0
40.00	0	3	1	1	0
30.00	0	3	2	1	0
20.00	1	3	1	1	0
NA	0	3	1	0	0
30.00	0	3	1	0	0
NA	0	3	1	0	0
30.00	0	3	1	1	0
30.00	0	3	2	1	0
NA	0	3	1	0	0
25.00	0	3	1	0	0
30.00	1	3	1	0	0
55.00	0	3	1	0	0
25.00	1	3	2	0	0
35.00	1	3	1	0	0
NA	0	3	1	0	0
NA	0	3	1	0	0
NA	1	3	2	0	0
25.00	1	3	1	0	0
25.00	0	3	1	0	0
NA	0	3	2	0	0
NA	0	3	1	0	0
NA	0	3	1	0	0
30.00	0	3	1	0	0
NA	1	3	1	0	0
35.00	0	3	2	0	0
NA	1	3	2	0	0
NA	0	3	1	0	0
35.00	0	3	1	0	0
35.00	0	3	1	0	0
NA	1	3	2	0	0
NA	0	3	1	0	0
NA	1	3	2	0	0
NA	1	3	1	0	0
NA	1	3	2	2	0
NA	1	3	2	2	0
NA	1	3	1	2	0
NA	1	3	2	0	0
NA	0	3	1	0	0
NA	1	3	2	0	0
15.00	1	3	2	0	0
35.00	0	3	2	0	0
NA	0	3	1	0	0
25.00	0	3	1	1	0
20.00	0	3	2	1	0
NA	0	3	2	0	0
NA	0	3	2	0	0
NA	0	3	2	0	0
60.00	0	3	1	0	0
NA	0	3	1	0	0
25.00	1	3	1	0	0
NA	0	3	1	0	0
25.00	0	3	1	0	0
25.00	0	3	1	0	0
30.00	0	3	1	0	0
NA	0	3	1	0	0
NA	1	3	2	0	0
25.00	0	3	1	0	0
10.00	1	3	1	0	1
30.00	1	3	2	0	1
NA	0	3	1	0	0
NA	1	3	2	1	0
NA	0	3	1	1	0
NA	0	3	1	0	0
35.00	0	3	1	0	0
NA	0	3	1	0	0
NA	1	3	1	0	0
NA	1	3	1	1	1
NA	1	3	1	1	1
NA	1	3	2	0	2
NA	1	3	2	0	0
NA	0	3	1	0	0
NA	1	3	2	0	0
25.00	1	3	2	0	0
NA	0	3	1	0	0
NA	1	3	2	1	0
NA	1	3	2	1	0
NA	1	3	2	0	0
20.00	0	3	1	0	0
25.00	0	3	1	0	0
15.00	1	3	2	0	0
5.00	1	3	2	0	2
20.00	1	3	1	1	1
20.00	1	3	2	1	1
35.00	0	3	1	0	0
NA	0	3	1	0	0
NA	0	3	1	0	0
NA	0	3	2	0	0
NA	0	3	1	0	0
15.00	1	3	1	1	0
15.00	1	3	2	1	0
30.00	0	3	2	0	0
30.00	0	3	1	0	0
20.00	1	3	2	0	0
30.00	1	3	2	0	0
25.00	0	3	1	0	0
45.00	0	3	1	0	0
40.00	1	3	1	0	0
25.00	0	3	1	0	0
30.00	0	3	1	0	0
25.00	1	3	2	0	0
65.00	0	3	1	0	0
NA	0	3	1	1	0
NA	0	3	1	0	0
NA	1	3	2	1	0
NA	0	3	1	0	0
NA	0	3	1	0	0
NA	0	3	1	0	0
25.00	0	3	1	0	0
NA	0	3	2	0	0
NA	1	3	2	0	0
NA	1	3	2	0	0
25.00	1	3	2	0	0
NA	1	3	1	0	0
NA	1	3	2	0	0
10.00	1	3	1	0	1
30.00	0	3	1	0	0
45.00	0	3	1	0	1
NA	0	3	1	0	0
35.00	0	3	2	0	0
30.00	0	3	1	0	0
35.00	1	3	1	0	0
20.00	0	3	1	0	0
25.00	0	3	2	0	0
20.00	0	3	2	0	0
20.00	0	3	1	0	0
20.00	0	3	1	0	0
35.00	1	3	2	0	0
0.00	0	3	2	0	0
5.00	0	3	1	3	1
10.00	0	3	1	3	1
5.00	0	3	2	3	1
10.00	0	3	2	3	1
30.00	0	3	2	0	4
5.00	0	3	1	4	1
10.00	0	3	1	4	1
5.00	0	3	1	4	1
20.00	0	3	1	4	1
15.00	0	3	1	4	1
45.00	0	3	2	0	5
25.00	0	3	1	0	0
20.00	0	3	1	0	0
NA	0	3	1	0	0
35.00	0	3	1	0	0
5.00	0	3	1	1	1
5.00	0	3	2	1	1
30.00	0	3	2	0	2
NA	0	3	1	0	0
NA	0	3	1	0	0
NA	0	3	1	0	0
25.00	0	3	1	0	0
25.00	0	3	1	0	0
25.00	0	3	1	0	0
25.00	1	3	1	1	0
NA	1	3	1	1	1
NA	1	3	2	1	1
NA	1	3	2	0	2
NA	0	3	2	0	0
25.00	0	3	1	0	0
30.00	0	3	2	0	0
20.00	0	3	1	0	0
0.00	0	3	1	0	0
25.00	0	3	1	1	0
20.00	0	3	2	0	0
35.00	1	3	1	0	0
NA	0	3	1	0	0
20.00	0	3	1	0	0
25.00	0	3	1	0	0
NA	0	3	1	0	0
NA	0	3	2	0	0
NA	0	3	1	0	0
NA	0	3	1	0	0
40.00	0	3	1	0	0
25.00	0	3	1	0	0
10.00	0	3	1	4	1
5.00	0	3	1	4	1
10.00	0	3	1	4	1
5.00	0	3	1	4	1
10.00	0	3	1	4	1
40.00	0	3	2	0	5
25.00	0	3	2	0	0
35.00	0	3	1	0	0
NA	1	3	2	0	0
NA	0	3	1	0	0
NA	0	3	2	0	0
50.00	0	3	1	1	0
50.00	0	3	2	1	0
NA	0	3	1	0	0
NA	0	3	1	0	0
5.00	0	3	2	1	1
20.00	0	3	1	1	1
45.00	0	3	2	0	2
NA	1	3	2	0	0
50.00	0	3	1	0	0
20.00	0	3	1	0	0
NA	1	3	1	0	0
NA	0	3	1	0	0
NA	0	3	1	0	0
25.00	0	3	1	0	0
NA	0	3	1	0	0
NA	0	3	1	0	0
NA	0	3	1	0	0
40.00	0	3	1	0	0
NA	0	3	1	8	2
15.00	0	3	1	8	2
NA	0	3	2	8	2
NA	0	3	2	8	2
NA	0	3	2	8	2
NA	0	3	2	8	2
NA	0	3	1	8	2
NA	0	3	1	8	2
NA	0	3	1	8	2
NA	0	3	1	1	9
NA	0	3	2	1	9
25.00	0	3	1	0	0
25.00	1	3	2	0	0
40.00	0	3	1	0	0
NA	0	3	1	2	0
NA	0	3	1	2	0
NA	0	3	1	2	0
5.00	1	3	2	1	1
25.00	1	3	2	0	2
5.00	1	3	2	1	1
25.00	1	3	1	0	0
20.00	0	3	1	0	0
25.00	0	3	1	0	0
NA	0	3	1	0	0
NA	0	3	1	0	0
NA	0	3	1	0	0
30.00	1	3	1	0	0
NA	0	3	1	0	0
NA	1	3	2	0	0
NA	0	3	1	0	0
NA	0	3	1	0	0
25.00	0	3	1	0	0
NA	0	3	1	0	0
40.00	0	3	1	0	0
25.00	0	3	1	0	0
20.00	1	3	2	0	0
5.00	0	3	1	3	2
10.00	0	3	1	3	2
10.00	0	3	2	3	2
5.00	0	3	2	3	2
40.00	0	3	1	1	4
45.00	0	3	2	1	4
NA	0	3	1	0	0
NA	0	3	1	0	0
NA	0	3	1	0	0
NA	0	3	1	0	0
NA	1	3	2	0	0
20.00	0	3	1	0	0
30.00	0	3	1	0	0
NA	0	3	1	0	0
35.00	0	3	1	0	0
NA	0	3	1	0	0
35.00	0	3	1	0	0
25.00	1	3	2	0	0
25.00	0	3	1	0	0
65.00	0	3	1	0	0
20.00	0	3	1	0	0
25.00	0	3	2	0	0
35.00	1	3	1	0	0
30.00	0	3	1	0	0
5.00	0	3	2	0	1
30.00	0	3	2	1	1
20.00	1	3	1	0	0
45.00	1	3	1	0	0
25.00	0	3	1	0	0
75.00	0	3	1	0	0
15.00	1	3	1	0	0
25.00	0	3	1	0	0
25.00	1	3	1	0	0
35.00	0	3	1	0	0
5.00	1	3	1	0	1
NA	0	3	1	1	0
NA	0	3	1	0	0
NA	0	3	1	0	0
20.00	1	3	2	1	1
NA	0	3	1	0	0
NA	0	3	1	1	0
NA	1	3	2	1	0
35.00	0	3	1	0	0
NA	0	3	1	0	0
NA	0	3	1	0	0
35.00	0	3	1	0	0
45.00	0	3	1	0	0
0.00	0	3	1	0	0
25.00	1	3	1	0	0
NA	0	3	1	0	0
10.00	1	3	1	1	1
10.00	1	3	2	1	1
30.00	1	3	2	0	2
40.00	0	3	1	0	0
20.00	1	3	2	0	0
65.00	1	3	2	0	0
NA	0	3	1	1	1
15.00	0	3	1	1	1
45.00	0	3	1	0	2
10.00	0	3	2	0	2
40.00	0	3	1	1	1
30.00	0	3	2	1	1
NA	0	3	1	0	0
35.00	0	3	1	0	0
30.00	0	3	1	0	0
30.00	0	3	1	0	0
50.00	0	3	1	0	0
20.00	0	3	2	2	0
35.00	0	3	1	3	0
20.00	0	3	1	2	0
35.00	0	3	2	1	0
25.00	1	3	1	0	0
20.00	0	3	1	0	0
15.00	0	3	2	0	0
25.00	0	3	1	0	0
25.00	0	3	1	0	0
NA	0	3	1	0	0
NA	0	3	1	0	0
NA	0	3	1	0	0
35.00	0	3	1	0	0
40.00	1	3	2	0	0
55.00	0	3	1	0	0
20.00	0	3	1	1	0
25.00	0	3	1	1	0
50.00	1	3	2	1	0
NA	0	3	1	0	0
NA	0	3	1	0	0
NA	0	3	1	0	0
30.00	0	3	1	0	0
25.00	0	3	1	0	0
30.00	0	3	1	0	0
0.00	0	3	1	0	0
40.00	0	3	1	0	0
30.00	0	3	1	1	0
15.00	1	3	2	1	0
50.00	0	3	1	0	0
NA	0	3	1	0	0
NA	0	3	1	0	0
15.00	0	3	2	1	0
NA	0	3	2	1	0
30.00	0	3	1	0	0
30.00	0	3	1	0	0
NA	0	3	1	0	0

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	28 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 & 28 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=114459&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]28 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=114459&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=114459&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	28 seconds
R Server	'Sir Ronald Aylmer Fisher' @ 193.190.124.24

Correlations for all pairs of data series (method=kendall)
	age	survived	pclass	sex	sibsp	parch
age	1	-0.033	-0.32	-0.054	-0.103	-0.173
survived	-0.033	1	-0.295	0.529	0.081	0.157
pclass	-0.32	-0.295	1	-0.119	-0.062	-0.026
sex	-0.054	0.529	-0.119	1	0.176	0.237
sibsp	-0.103	0.081	-0.062	0.176	1	0.415
parch	-0.173	0.157	-0.026	0.237	0.415	1

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=kendall) \tabularnewline
  & age & survived & pclass & sex & sibsp & parch \tabularnewline
age & 1 & -0.033 & -0.32 & -0.054 & -0.103 & -0.173 \tabularnewline
survived & -0.033 & 1 & -0.295 & 0.529 & 0.081 & 0.157 \tabularnewline
pclass & -0.32 & -0.295 & 1 & -0.119 & -0.062 & -0.026 \tabularnewline
sex & -0.054 & 0.529 & -0.119 & 1 & 0.176 & 0.237 \tabularnewline
sibsp & -0.103 & 0.081 & -0.062 & 0.176 & 1 & 0.415 \tabularnewline
parch & -0.173 & 0.157 & -0.026 & 0.237 & 0.415 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=114459&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=kendall)[/C][/ROW]
[ROW][C] [/C][C]age[/C][C]survived[/C][C]pclass[/C][C]sex[/C][C]sibsp[/C][C]parch[/C][/ROW]
[ROW][C]age[/C][C]1[/C][C]-0.033[/C][C]-0.32[/C][C]-0.054[/C][C]-0.103[/C][C]-0.173[/C][/ROW]
[ROW][C]survived[/C][C]-0.033[/C][C]1[/C][C]-0.295[/C][C]0.529[/C][C]0.081[/C][C]0.157[/C][/ROW]
[ROW][C]pclass[/C][C]-0.32[/C][C]-0.295[/C][C]1[/C][C]-0.119[/C][C]-0.062[/C][C]-0.026[/C][/ROW]
[ROW][C]sex[/C][C]-0.054[/C][C]0.529[/C][C]-0.119[/C][C]1[/C][C]0.176[/C][C]0.237[/C][/ROW]
[ROW][C]sibsp[/C][C]-0.103[/C][C]0.081[/C][C]-0.062[/C][C]0.176[/C][C]1[/C][C]0.415[/C][/ROW]
[ROW][C]parch[/C][C]-0.173[/C][C]0.157[/C][C]-0.026[/C][C]0.237[/C][C]0.415[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=114459&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=114459&T=1

As an alternative you can also use a QR Code:

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

Correlations for all pairs of data series (method=kendall)
	age	survived	pclass	sex	sibsp	parch
age	1	-0.033	-0.32	-0.054	-0.103	-0.173
survived	-0.033	1	-0.295	0.529	0.081	0.157
pclass	-0.32	-0.295	1	-0.119	-0.062	-0.026
sex	-0.054	0.529	-0.119	1	0.176	0.237
sibsp	-0.103	0.081	-0.062	0.176	1	0.415
parch	-0.173	0.157	-0.026	0.237	0.415	1

Correlations for all pairs of data series with p-values
pair	Pearson r	Spearman rho	Kendall tau
age;survived	-0.0508	-0.0383	-0.0329
p-value	(0.1001)	(0.2145)	(0.2144)
age;pclass	-0.403	-0.3901	-0.3204
p-value	(0)	(0)	(0)
age;sex	-0.0664	-0.0632	-0.0542
p-value	(0.0313)	(0.0408)	(0.0408)
age;sibsp	-0.2387	-0.1281	-0.1032
p-value	(0)	(0)	(1e-04)
age;parch	-0.144	-0.2086	-0.1726
p-value	(0)	(0)	(0)
survived;pclass	-0.3125	-0.3097	-0.2948
p-value	(0)	(0)	(0)
survived;sex	0.5287	0.5287	0.5287
p-value	(0)	(0)	(0)
survived;sibsp	-0.0278	0.0836	0.081
p-value	(0.3144)	(0.0025)	(0.0025)
survived;parch	0.0827	0.1621	0.157
p-value	(0.0028)	(0)	(0)
pclass;sex	-0.1246	-0.1245	-0.1185
p-value	(0)	(0)	(0)
pclass;sibsp	0.0608	-0.0667	-0.0616
p-value	(0.0277)	(0.0158)	(0.0157)
pclass;parch	0.0183	-0.0288	-0.0265
p-value	(0.5078)	(0.2986)	(0.299)
sex;sibsp	0.1096	0.1812	0.1756
p-value	(1e-04)	(0)	(0)
sex;parch	0.2131	0.2449	0.2373
p-value	(0)	(0)	(0)
sibsp;parch	0.3736	0.4384	0.4151
p-value	(0)	(0)	(0)

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series with p-values \tabularnewline
pair & Pearson r & Spearman rho & Kendall tau \tabularnewline
age;survived & -0.0508 & -0.0383 & -0.0329 \tabularnewline
p-value & (0.1001) & (0.2145) & (0.2144) \tabularnewline
age;pclass & -0.403 & -0.3901 & -0.3204 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
age;sex & -0.0664 & -0.0632 & -0.0542 \tabularnewline
p-value & (0.0313) & (0.0408) & (0.0408) \tabularnewline
age;sibsp & -0.2387 & -0.1281 & -0.1032 \tabularnewline
p-value & (0) & (0) & (1e-04) \tabularnewline
age;parch & -0.144 & -0.2086 & -0.1726 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
survived;pclass & -0.3125 & -0.3097 & -0.2948 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
survived;sex & 0.5287 & 0.5287 & 0.5287 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
survived;sibsp & -0.0278 & 0.0836 & 0.081 \tabularnewline
p-value & (0.3144) & (0.0025) & (0.0025) \tabularnewline
survived;parch & 0.0827 & 0.1621 & 0.157 \tabularnewline
p-value & (0.0028) & (0) & (0) \tabularnewline
pclass;sex & -0.1246 & -0.1245 & -0.1185 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
pclass;sibsp & 0.0608 & -0.0667 & -0.0616 \tabularnewline
p-value & (0.0277) & (0.0158) & (0.0157) \tabularnewline
pclass;parch & 0.0183 & -0.0288 & -0.0265 \tabularnewline
p-value & (0.5078) & (0.2986) & (0.299) \tabularnewline
sex;sibsp & 0.1096 & 0.1812 & 0.1756 \tabularnewline
p-value & (1e-04) & (0) & (0) \tabularnewline
sex;parch & 0.2131 & 0.2449 & 0.2373 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
sibsp;parch & 0.3736 & 0.4384 & 0.4151 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=114459&T=2

[TABLE]
[ROW][C]Correlations for all pairs of data series with p-values[/C][/ROW]
[ROW][C]pair[/C][C]Pearson r[/C][C]Spearman rho[/C][C]Kendall tau[/C][/ROW]
[ROW][C]age;survived[/C][C]-0.0508[/C][C]-0.0383[/C][C]-0.0329[/C][/ROW]
[ROW][C]p-value[/C][C](0.1001)[/C][C](0.2145)[/C][C](0.2144)[/C][/ROW]
[ROW][C]age;pclass[/C][C]-0.403[/C][C]-0.3901[/C][C]-0.3204[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]age;sex[/C][C]-0.0664[/C][C]-0.0632[/C][C]-0.0542[/C][/ROW]
[ROW][C]p-value[/C][C](0.0313)[/C][C](0.0408)[/C][C](0.0408)[/C][/ROW]
[ROW][C]age;sibsp[/C][C]-0.2387[/C][C]-0.1281[/C][C]-0.1032[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](1e-04)[/C][/ROW]
[ROW][C]age;parch[/C][C]-0.144[/C][C]-0.2086[/C][C]-0.1726[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]survived;pclass[/C][C]-0.3125[/C][C]-0.3097[/C][C]-0.2948[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]survived;sex[/C][C]0.5287[/C][C]0.5287[/C][C]0.5287[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]survived;sibsp[/C][C]-0.0278[/C][C]0.0836[/C][C]0.081[/C][/ROW]
[ROW][C]p-value[/C][C](0.3144)[/C][C](0.0025)[/C][C](0.0025)[/C][/ROW]
[ROW][C]survived;parch[/C][C]0.0827[/C][C]0.1621[/C][C]0.157[/C][/ROW]
[ROW][C]p-value[/C][C](0.0028)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]pclass;sex[/C][C]-0.1246[/C][C]-0.1245[/C][C]-0.1185[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]pclass;sibsp[/C][C]0.0608[/C][C]-0.0667[/C][C]-0.0616[/C][/ROW]
[ROW][C]p-value[/C][C](0.0277)[/C][C](0.0158)[/C][C](0.0157)[/C][/ROW]
[ROW][C]pclass;parch[/C][C]0.0183[/C][C]-0.0288[/C][C]-0.0265[/C][/ROW]
[ROW][C]p-value[/C][C](0.5078)[/C][C](0.2986)[/C][C](0.299)[/C][/ROW]
[ROW][C]sex;sibsp[/C][C]0.1096[/C][C]0.1812[/C][C]0.1756[/C][/ROW]
[ROW][C]p-value[/C][C](1e-04)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]sex;parch[/C][C]0.2131[/C][C]0.2449[/C][C]0.2373[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]sibsp;parch[/C][C]0.3736[/C][C]0.4384[/C][C]0.4151[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=114459&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=114459&T=2

As an alternative you can also use a QR Code:

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

Correlations for all pairs of data series with p-values
pair	Pearson r	Spearman rho	Kendall tau
age;survived	-0.0508	-0.0383	-0.0329
p-value	(0.1001)	(0.2145)	(0.2144)
age;pclass	-0.403	-0.3901	-0.3204
p-value	(0)	(0)	(0)
age;sex	-0.0664	-0.0632	-0.0542
p-value	(0.0313)	(0.0408)	(0.0408)
age;sibsp	-0.2387	-0.1281	-0.1032
p-value	(0)	(0)	(1e-04)
age;parch	-0.144	-0.2086	-0.1726
p-value	(0)	(0)	(0)
survived;pclass	-0.3125	-0.3097	-0.2948
p-value	(0)	(0)	(0)
survived;sex	0.5287	0.5287	0.5287
p-value	(0)	(0)	(0)
survived;sibsp	-0.0278	0.0836	0.081
p-value	(0.3144)	(0.0025)	(0.0025)
survived;parch	0.0827	0.1621	0.157
p-value	(0.0028)	(0)	(0)
pclass;sex	-0.1246	-0.1245	-0.1185
p-value	(0)	(0)	(0)
pclass;sibsp	0.0608	-0.0667	-0.0616
p-value	(0.0277)	(0.0158)	(0.0157)
pclass;parch	0.0183	-0.0288	-0.0265
p-value	(0.5078)	(0.2986)	(0.299)
sex;sibsp	0.1096	0.1812	0.1756
p-value	(1e-04)	(0)	(0)
sex;parch	0.2131	0.2449	0.2373
p-value	(0)	(0)	(0)
sibsp;parch	0.3736	0.4384	0.4151
p-value	(0)	(0)	(0)

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = kendall ;

Parameters (R input):

par1 = kendall ; par2 = ; par3 = ; par4 = ; par5 = ; par6 = ; par7 = ; par8 = ; par9 = ; par10 = ; par11 = ; par12 = ; par13 = ; par14 = ; par15 = ; par16 = ; par17 = ; par18 = ; par19 = ; par20 = ;

R code (references can be found in the software module):

panel.tau <- function(x, y, digits=2, prefix='', cex.cor)
{
usr <- par('usr'); on.exit(par(usr))
par(usr = c(0, 1, 0, 1))
rr <- cor.test(x, y, method=par1)
r <- round(rr$p.value,2)
txt <- format(c(r, 0.123456789), digits=digits)[1]
txt <- paste(prefix, txt, sep='')
if(missing(cex.cor)) cex <- 0.5/strwidth(txt)
text(0.5, 0.5, txt, cex = cex)
}
panel.hist <- function(x, ...)
{
usr <- par('usr'); on.exit(par(usr))
par(usr = c(usr[1:2], 0, 1.5) )
h <- hist(x, plot = FALSE)
breaks <- h$breaks; nB <- length(breaks)
y <- h$counts; y <- y/max(y)
rect(breaks[-nB], 0, breaks[-1], y, col='grey', ...)
}
bitmap(file='test1.png')
pairs(t(y),diag.panel=panel.hist, upper.panel=panel.smooth, lower.panel=panel.tau, main=main)
dev.off()
load(file='createtable')
n <- length(y[,1])
n
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,paste('Correlations for all pairs of data series (method=',par1,')',sep=''),n+1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,' ',header=TRUE)
for (i in 1:n) {
a<-table.element(a,dimnames(t(x))[[2]][i],header=TRUE)
}
a<-table.row.end(a)
for (i in 1:n) {
a<-table.row.start(a)
a<-table.element(a,dimnames(t(x))[[2]][i],header=TRUE)
for (j in 1:n) {
r <- cor.test(y[i,],y[j,],method=par1)
a<-table.element(a,round(r$estimate,3))
}
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Correlations for all pairs of data series with p-values',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'pair',1,TRUE)
a<-table.element(a,'Pearson r',1,TRUE)
a<-table.element(a,'Spearman rho',1,TRUE)
a<-table.element(a,'Kendall tau',1,TRUE)
a<-table.row.end(a)
cor.test(y[1,],y[2,],method=par1)
for (i in 1:(n-1))
{
for (j in (i+1):n)
{
a<-table.row.start(a)
dum <- paste(dimnames(t(x))[[2]][i],';',dimnames(t(x))[[2]][j],sep='')
a<-table.element(a,dum,header=TRUE)
rp <- cor.test(y[i,],y[j,],method='pearson')
a<-table.element(a,round(rp$estimate,4))
rs <- cor.test(y[i,],y[j,],method='spearman')
a<-table.element(a,round(rs$estimate,4))
rk <- cor.test(y[i,],y[j,],method='kendall')
a<-table.element(a,round(rk$estimate,4))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'p-value',header=T)
a<-table.element(a,paste('(',round(rp$p.value,4),')',sep=''))
a<-table.element(a,paste('(',round(rs$p.value,4),')',sep=''))
a<-table.element(a,paste('(',round(rk$p.value,4),')',sep=''))
a<-table.row.end(a)
}
}
a<-table.end(a)
table.save(a,file='mytable1.tab')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code