Free Statistics

of Irreproducible Research!

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_pairs.wasp
Title produced by softwareKendall tau Correlation Matrix
Date of computationMon, 19 Nov 2012 06:17:12 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Nov/19/t1353324082u155hgy8bsllayi.htm/, Retrieved Sun, 28 Apr 2024 10:14:46 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=190450, Retrieved Sun, 28 Apr 2024 10:14:46 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact106
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Multiple Regression] [] [2010-11-17 09:20:01] [b98453cac15ba1066b407e146608df68]
- RMPD    [Kendall tau Correlation Matrix] [ws7v] [2012-11-19 11:17:12] [517266f770140e702fb96aab4dcff962] [Current]
Feedback Forum

Post a new message
Dataseries X:
1	1	1	1
1	1	1	1
2	1	1	2
2	2	2	2
2	2	2	2
1	1	1	1
1	1	1	1
1	1	4	2
1	2	1	1
1	1	1	1
1	1	1	1
1	1	1	1
1	1	1	1
1	1	1	1
1	1	1	1
2	3	2	1
1	1	1	1
1	1	1	1
1	1	1	1
2	2	2	2
1	1	1	1
1	4	1	1
1	1	1	1
1	1	1	1
1	2	1	1
1	1	1	1
1	1	1	1
1	1	1	1
1	1	1	1
1	1	1	1
1	1	1	1
1	1	1	1
4	6	3	2
3	3	3	1
1	1	1	1
2	2	2	2
1	1	1	1
1	1	1	1
1	1	1	1
1	1	1	1
1	1	1	4
1	1	1	1
2	2	1	1
1	2	1	1
1	1	1	1
4	4	4	4
1	2	1	1
3	3	3	3
2	2	1	1
3	2	2	2
2	2	4	1
1	1	1	1
2	1	1	1
1	1	1	1
1	1	1	1
1	2	1	1
1	1	1	1
1	1	1	1
1	1	1	1
2	1	1	1
1	1	1	1
3	1	1	1
1	1	1	1
1	1	1	1
4	4	5	5
1	1	1	1
1	2	2	1
1	1	1	1
1	1	1	1
1	2	1	1
1	1	1	1
1	1	1	1
1	2	1	1
1	3	3	3
1	2	1	1
2	2	2	2
2	2	2	2
1	2	1	1
1	1	1	1
1	1	1	1
1	1	1	1
1	1	2	1
1	1	1	1
1	1	1	1
2	2	2	2
1	1	1	1
1	2	1	1
4	3	4	3
3	2	2	1
2	2	2	2
1	1	1	1
1	1	1	1
1	3	1	1
1	1	1	1
2	1	2	2
1	1	1	4
1	1	1	1
2	1	1	2
1	1	1	1
3	2	1	1
1	1	1	1
1	1	1	1
2	2	2	2
1	1	1	1
1	1	1	1
2	3	3	2
2	2	2	2
1	2	2	1
1	1	1	1
1	1	1	1
1	1	1	1
1	2	1	1
1	1	1	1
2	2	1	1
1	1	1	1
1	2	1	1
2	2	2	1
2	4	1	1
1	2	1	1
2	1	4	1
2	4	2	2
2	2	3	1
2	1	1	1
4	3	3	2
1	1	1	1
2	1	1	1
1	1	1	1
1	2	1	2
1	1	1	1
1	1	1	1
3	2	1	1
2	2	2	1
1	7	1	1
1	1	1	1
1	2	1	1
2	3	1	2
5	3	2	1
1	4	1	1
1	1	1	1
2	2	2	2
1	2	1	2
2	2	1	2
1	2	1	1
1	1	1	1
1	5	1	1
1	1	1	1
2	3	2	1
1	2	1	2
1	1	1	1
2	3	2	2
1	2	1	1
1	2	2	1
1	1	1	1
1	1	1	1
1	1	1	1
2	1	1	1
2	2	1	1
4	4	4	4
1	3	1	1
1	1	2	2
1	1	1	1
1	1	1	15	5	5	5	4	4	4	4	4	4	3	4	6	6	6	6	5	3	5	4	5	5	5	5	1	1	1	1
6	5	4	4	5	4	5	5	6	2	5	5	6	6	5	5	5	4	4	5	4	6	5	5	2	1	1	2
4	5	5	5	4	4	5	5	4	2	2	3	5	6	4	5	5	5	5	6	3	6	6	6	2	2	2	2
5	5	5	5	4	4	4	4	2	2	2	2	6	6	6	6	5	5	5	5	6	6	6	6	2	2	2	2
6	6	6	7	6	6	6	5	5	5	5	4	7	7	6	7	7	7	7	7	5	5	5	7	1	1	1	1
7	4	7	7	5	4	4	4	1	1	1	1	7	7	7	7	7	1	4	7	5	7	5	6	1	1	1	1
6	5	5	6	3	2	2	5	6	4	5	5	7	7	6	7	5	5	6	6	1	6	6	7	1	1	4	2
6	7	7	6	4	6	5	4	3	5	4	4	7	6	5	6	3	2	4	7	4	7	7	7	1	2	1	1
6	5	5	6	4	3	5	4	4	4	3	3	6	6	5	6	6	3	3	6	5	6	6	6	1	1	1	1
5	2	4	6	2	6	5	6	3	1	1	5	4	7	7	6	7	6	5	7	6	7	7	7	1	1	1	1
5	5	6	6	5	5	6	4	2	2	5	4	6	7	7	7	6	4	2	5	7	7	6	7	1	1	1	1
4	5	4	6	3	4	3	3	4	4	3	3	6	7	7	7	5	3	3	3	5	6	6	5	1	1	1	1
6	6	6	6	5	5	5	5	3	2	2	1	7	7	7	7	3	3	3	2	6	6	6	6	1	1	1	1
6	6	7	7	6	7	7	7	5	6	6	6	6	7	7	7	7	6	7	7	5	7	6	7	1	1	1	1
5	5	6	5	4	4	5	4	3	3	3	2	6	6	6	5	5	5	5	5	4	6	6	6	2	3	2	1
3	3	4	3	3	1	2	2	3	2	2	2	4	7	6	7	7	5	5	5	7	7	7	7	1	1	1	1
7	6	6	7	6	6	7	6	6	6	6	6	7	7	7	7	7	5	4	6	7	7	7	7	1	1	1	1
3	5	6	6	7	7	5	7	1	2	1	1	7	7	7	6	7	1	6	7	6	7	7	7	1	1	1	1
5	5	6	6	2	4	3	4	1	6	4	4	6	7	6	6	6	5	6	6	6	7	6	6	2	2	2	2
3	3	4	4	6	5	3	5	1	1	1	2	3	5	5	6	5	3	4	5	2	5	5	4	1	1	1	1
5	5	5	6	4	4	1	6	5	4	5	5	7	4	7	6	7	4	6	7	7	7	7	7	1	4	1	1
2	1	2	2	1	1	2	1	2	1	1	2	5	6	5	4	4	2	3	5	5	5	5	6	1	1	1	1
6	5	6	6	4	4	5	3	3	4	3	3	7	7	7	7	7	3	2	5	4	6	7	7	1	1	1	1
3	4	5	5	3	2	5	4	3	2	2	4	6	7	6	7	7	5	5	6	7	7	6	7	1	2	1	1
6	6	6	7	6	6	7	5	5	5	6	1	5	7	6	5	7	5	5	7	1	6	2	5	1	1	1	1
6	6	6	7	6	6	7	5	5	5	6	1	5	7	6	5	7	5	5	7	1	6	2	5	1	1	1	1
5	4	5	5	3	3	2	1	1	1	1	2	6	6	2	6	3	2	1	2	7	6	7	7	1	1	1	1
5	4	5	6	6	5	4	4	2	1	2	4	5	2	2	2	7	4	5	6	4	6	4	6	1	1	1	1
7	5	5	6	4	5	5	5	3	4	4	4	6	6	5	7	5	6	6	6	5	6	4	6	1	1	1	1
6	4	6	6	7	6	6	6	5	4	4	4	6	7	6	6	7	6	5	7	5	6	5	6	1	1	1	1
5	5	6	6	4	5	5	5	3	5	4	5	5	6	6	6	5	4	6	6	5	5	5	6	1	1	1	1
5	6	5	5	4	4	5	5	5	5	4	6	4	4	4	6	5	6	7	6	4	3	4	1	4	6	3	2
4	3	4	4	3	4	4	4	3	3	3	3	5	5	4	6	4	3	4	4	5	3	7	5	3	3	3	1
4	5	6	5	4	1	3	4	2	1	1	3	4	5	5	6	5	6	5	6	5	5	7	7	1	1	1	1
6	5	5	6	6	5	6	4	4	5	3	4	6	6	6	6	6	3	6	6	4	6	4	5	2	2	2	2
5	3	5	5	3	3	3	3	3	2	1	1	6	7	5	5	7	4	7	7	7	7	7	7	1	1	1	1
5	5	5	5	2	4	5	4	3	3	3	5	7	6	6	6	5	4	2	5	7	7	4	5	1	1	1	1
7	7	7	7	7	7	7	7	6	6	6	6	7	7	7	7	7	7	7	7	7	7	6	7	1	1	1	1
5	6	5	6	7	7	5	6	6	4	3	2	7	6	7	6	7	5	5	6	4	6	6	6	1	1	1	1
5	4	5	4	5	5	5	4	3	4	4	4	7	7	5	7	6	5	5	5	7	7	6	7	1	1	1	4
6	5	7	5	5	5	5	5	3	2	2	3	5	6	6	6	6	4	5	6	7	7	6	6	1	1	1	1
5	5	5	5	6	7	6	5	4	3	3	4	6	5	5	6	7	6	6	7	4	6	6	6	2	2	1	1
6	6	7	6	7	7	5	7	4	5	4	5	6	6	6	6	7	4	5	6	3	6	7	5	1	2	1	1
7	7	6	6	6	7	6	6	2	5	3	2	3	7	5	6	6	4	5	6	2	5	6	6	1	1	1	1
5	3	3	4	3	2	2	5	2	2	2	3	6	5	4	5	6	2	4	6	6	6	6	6	4	4	4	4
5	4	4	4	4	3	2	3	3	2	2	2	5	6	5	6	4	3	2	3	4	6	4	5	1	2	1	1
5	6	6	6	4	2	4	5	2	1	1	4	4	5	6	5	7	6	6	6	5	7	7	7	3	3	3	3
6	5	5	5	4	4	5	4	5	4	4	5	6	6	6	7	5	4	4	4	4	6	6	6	2	2	1	1
2	2	4	5	2	4	3	5	5	1	2	2	6	6	3	5	6	6	6	6	7	7	7	7	3	2	2	2
4	4	4	6	4	4	4	4	6	4	3	4	6	6	4	6	5	3	3	4	4	6	6	5	2	2	4	1
4	4	6	5	3	4	2	2	3	4	4	3	5	7	6	5	3	4	3	3	6	5	7	5	1	1	1	1
6	5	5	6	5	5	5	5	3	5	4	4	6	6	6	7	7	5	7	7	7	7	7	7	2	1	1	1
3	4	4	5	3	4	2	2	2	4	2	2	5	6	5	7	6	2	4	4	1	4	2	3	1	1	1	1
6	6	6	6	5	5	6	6	5	5	4	5	7	5	5	6	6	7	4	7	5	7	6	6	1	1	1	1
6	2	5	5	5	5	5	5	2	2	2	4	6	5	5	6	5	6	5	5	4	5	6	6	1	2	1	1
5	4	5	6	4	5	5	5	4	3	3	4	6	6	6	6	5	5	5	5	5	6	5	5	1	1	1	1
6	6	6	6	5	5	5	2	4	2	2	2	7	7	6	5	7	1	2	4	5	7	6	6	1	1	1	1
1	4	6	3	5	5	5	6	1	1	1	1	4	5	6	6	7	6	6	6	5	7	6	6	1	1	1	1
5	5	6	6	6	5	6	6	6	5	4	4	3	4	4	1	7	6	6	6	5	7	6	7	2	1	1	1
7	6	5	6	4	4	5	5	2	2	1	4	4	6	3	4	6	2	5	7	5	7	6	7	1	1	1	1
4	4	5	5	4	5	5	3	3	3	3	3	4	6	5	5	6	5	6	5	5	6	6	6	3	1	1	1
5	6	5	5	7	7	7	6	4	4	4	4	5	7	5	6	7	5	4	4	6	6	4	5	1	1	1	1
6	6	5	6	6	6	6	7	3	2	1	5	4	5	7	7	7	6	6	7	3	6	3	4	1	1	1	1
4	5	4	4	5	5	4	5	4	5	4	5	6	5	5	4	5	5	4	4	4	4	4	5	4	4	5	5
6	6	5	5	6	5	5	6	3	2	1	5	7	7	7	7	7	4	4	7	6	6	7	6	1	1	1	1
6	6	6	6	6	6	6	6	6	6	6	6	6	6	6	6	6	6	6	6	6	6	6	6	1	2	2	1
5	4	6	6	5	5	5	5	4	5	4	4	6	7	6	5	5	2	4	6	3	7	6	7	1	1	1	1
5	6	5	6	4	5	5	5	5	4	4	5	6	6	6	6	6	6	6	6	5	7	7	6	1	1	1	1
3	3	5	5	2	3	2	4	3	2	2	2	6	6	6	6	5	5	5	5	2	7	7	7	1	2	1	1
5	5	5	6	7	5	5	5	4	4	5	6	7	7	7	7	5	4	5	5	7	7	7	7	1	1	1	1
6	5	6	6	5	5	6	6	3	5	5	5	6	7	6	6	6	2	6	6	7	7	5	7	1	1	1	1
5	5	6	6	5	4	3	4	3	4	3	2	6	6	5	4	6	2	2	5	4	6	6	6	1	2	1	1
6	6	6	6	6	5	5	4	6	6	5	6	6	6	7	6	6	5	6	6	6	5	3	5	1	3	3	3
6	6	6	6	6	6	6	6	6	6	5	5	7	6	6	6	7	6	7	6	6	7	6	7	1	2	1	1
4	4	4	4	4	4	4	4	2	4	4	4	5	4	4	5	6	6	5	5	3	5	5	5	2	2	2	2
4	4	4	4	4	4	4	4	2	4	4	4	4	4	4	5	5	5	5	5	3	5	5	5	2	2	2	2
6	5	5	5	6	6	5	5	6	3	3	4	7	7	6	6	7	5	6	6	6	7	6	6	1	2	1	1
7	6	6	7	6	4	7	7	5	6	5	7	7	7	7	7	7	5	7	7	7	7	6	7	1	1	1	1
4	3	3	5	5	5	2	4	1	2	3	1	6	4	6	5	6	5	5	5	3	2	4	3	1	1	1	1
5	6	7	7	7	6	7	7	2	2	4	2	7	7	6	7	7	5	6	7	1	6	4	4	1	1	1	1
6	2	5	5	3	3	3	2	5	2	2	3	6	6	5	5	6	3	2	2	5	6	5	5	1	1	2	1
6	5	6	6	6	5	6	4	3	3	3	3	5	6	5	5	6	4	5	5	5	6	6	6	1	1	1	1
5	3	6	6	5	5	5	5	3	2	3	4	7	6	5	7	7	3	6	6	5	6	5	6	1	1	1	1
3	4	5	5	6	5	6	3	4	4	5	4	6	6	5	5	6	4	6	7	5	5	5	6	2	2	2	2
7	6	6	6	7	7	7	6	6	5	5	5	5	7	6	5	7	7	7	7	6	6	6	6	1	1	1	1
6	5	6	7	4	6	5	5	4	4	4	4	6	6	7	7	7	5	5	5	6	7	7	7	1	2	1	1
4	4	4	5	2	4	3	3	2	3	3	3	5	4	5	5	5	5	5	5	5	5	5	7	4	3	4	3
4	5	6	4	3	2	2	1	4	4	4	2	7	7	7	4	3	1	1	1	7	7	7	7	3	2	2	1
5	5	5	5	5	6	5	5	4	3	3	3	6	6	3	6	6	4	5	6	6	6	7	7	2	2	2	2
3	4	4	4	5	3	5	5	2	2	2	3	2	2	4	5	6	4	5	5	1	5	2	2	1	1	1	1
7	7	7	6	6	6	6	6	4	5	5	5	5	6	6	7	5	3	4	6	3	6	5	5	1	1	1	1
6	4	6	6	3	3	5	5	3	3	3	4	7	6	7	5	6	5	5	7	5	7	4	6	1	3	1	1
6	6	6	5	3	5	5	5	6	5	4	4	7	6	7	6	6	5	3	6	1	7	7	6	1	1	1	1
4	4	4	4	5	5	5	5	4	3	3	3	7	6	6	6	6	6	6	6	6	6	6	6	2	1	2	2
5	4	5	5	5	5	5	5	4	3	3	3	7	7	7	4	7	5	5	5	4	7	7	7	1	1	1	4
6	6	6	7	3	5	6	5	3	4	2	4	6	6	4	6	6	3	6	6	5	6	5	5	1	1	1	1
5	3	5	6	4	4	4	5	3	3	4	4	5	6	5	5	6	3	4	5	5	5	5	5	2	1	1	2
6	4	4	5	1	4	5	6	3	3	3	3	6	6	5	6	6	4	5	6	6	5	4	6	1	1	1	1
6	7	7	6	7	6	6	7	4	6	6	6	6	6	7	6	7	5	5	6	5	6	7	6	3	2	1	1
4	5	6	6	4	2	5	4	2	3	3	3	5	7	6	6	6	5	6	6	5	6	5	7	1	1	1	1
5	5	5	5	7	7	5	3	2	1	1	1	7	7	3	4	5	3	2	5	4	6	4	4	1	1	1	1
6	6	6	6	4	4	4	5	3	5	5	5	5	5	5	6	5	5	6	5	6	6	6	6	2	2	2	2
5	5	6	6	5	6	6	6	3	6	5	5	6	6	6	7	6	6	6	6	6	6	6	6	1	1	1	1
5	5	5	5	5	6	6	4	4	4	3	3	5	7	5	5	6	6	5	6	4	5	5	5	1	1	1	1
4	4	5	5	6	4	5	4	4	4	3	4	5	5	5	5	6	5	5	5	5	5	5	5	2	3	3	2
4	5	5	4	4	5	3	2	2	5	3	2	5	5	5	5	5	4	6	6	5	5	3	5	2	2	2	2
6	6	5	7	4	4	5	4	5	4	4	6	5	6	5	7	6	4	4	6	2	7	5	6	1	2	2	1
5	5	7	7	4	4	3	1	5	4	1	5	7	7	7	7	4	2	4	1	7	7	6	7	1	1	1	1
6	5	6	5	6	6	6	6	4	3	5	5	6	6	6	5	6	3	6	7	5	6	6	6	1	1	1	1
5	4	7	7	4	4	4	6	4	1	2	1	7	7	7	7	7	6	7	7	5	7	7	7	1	1	1	1
6	4	6	6	3	5	6	6	3	2	3	2	6	6	6	6	7	6	6	6	2	7	7	7	1	2	1	1
5	5	5	5	3	3	5	5	4	3	2	3	5	5	4	4	5	6	3	4	3	4	5	5	1	1	1	1
4	5	4	5	5	5	5	5	4	2	3	3	5	5	5	5	5	5	5	5	5	5	5	6	2	2	1	1
6	6	6	7	5	6	6	5	5	5	5	5	7	7	7	7	7	6	5	6	5	7	6	7	1	1	1	1
4	5	4	5	3	3	4	2	4	2	3	3	6	5	5	5	3	2	2	3	5	7	4	7	1	2	1	1
5	3	3	5	4	5	3	4	5	2	2	3	5	6	6	4	7	6	7	7	6	7	7	7	2	2	2	1
5	5	5	5	5	4	4	4	3	4	3	4	7	7	5	6	5	5	5	6	6	6	5	7	2	4	1	1
6	3	5	5	5	6	5	6	2	2	1	1	4	6	2	7	7	3	5	6	4	5	6	5	1	2	1	1
3	4	5	3	3	3	4	2	1	3	3	3	3	6	4	5	5	5	2	6	6	7	7	7	2	1	4	1
5	4	5	5	3	4	2	5	5	4	5	4	7	4	5	5	3	4	3	5	3	4	7	7	2	4	2	2
4	5	5	5	5	6	6	6	5	3	4	6	5	6	5	6	6	6	6	6	6	6	6	6	2	2	3	1
5	2	5	4	3	4	3	5	3	1	1	2	6	5	6	7	5	5	6	6	4	6	6	5	2	1	1	1
5	5	3	4	4	5	4	4	4	5	4	5	4	4	4	3	4	4	3	3	3	3	4	5	4	3	3	2
7	7	7	7	7	7	7	7	4	1	1	3	7	7	7	7	7	7	7	7	4	7	7	7	1	1	1	1
5	6	6	6	6	5	6	3	5	4	4	4	7	7	6	6	6	2	5	5	6	6	6	7	2	1	1	1
7	6	6	6	5	6	6	6	5	5	6	6	5	6	6	6	7	6	7	6	4	7	5	6	1	1	1	1
5	5	4	6	2	2	7	2	3	3	3	2	7	7	6	6	2	6	4	5	6	6	6	6	1	2	1	2
4	4	4	5	4	5	5	4	4	4	3	4	3	6	5	6	5	4	5	5	5	5	5	6	1	1	1	1
6	6	6	5	6	6	5	6	6	3	3	5	6	5	5	6	6	4	6	6	5	6	5	6	1	1	1	1
4	3	4	5	6	3	5	5	4	3	4	4	5	5	5	5	6	3	4	5	5	6	6	6	3	2	1	1
4	7	6	6	5	6	6	6	5	6	6	5	5	6	6	6	6	6	6	6	3	7	6	6	2	2	2	1
4	3	2	2	4	2	2	4	4	2	1	2	6	6	4	6	2	5	3	5	5	6	4	5	1	7	1	1
4	4	5	5	4	4	4	4	4	4	2	3	5	7	6	6	6	6	3	3	4	7	6	6	1	1	1	1
6	6	5	7	5	5	7	6	5	5	4	6	6	6	5	6	7	6	6	7	5	6	7	7	1	2	1	1
6	5	6	6	3	3	4	3	4	4	3	3	6	5	5	6	4	1	3	3	5	6	6	6	2	3	1	2
5	6	5	5	5	5	7	5	3	4	2	5	7	7	5	7	7	5	7	7	1	7	7	7	5	3	2	1
3	4	4	5	5	5	4	4	3	3	2	4	5	5	6	7	7	4	5	5	4	7	7	7	1	4	1	1
6	6	6	6	5	6	7	5	6	4	5	5	7	7	7	6	6	6	5	6	7	7	6	6	1	1	1	1
5	6	6	6	6	5	5	4	5	5	5	5	6	5	6	6	6	6	5	6	4	7	5	6	2	2	2	2
4	4	5	5	4	2	2	2	2	3	2	1	6	5	5	5	2	5	4	4	6	6	5	7	1	2	1	2
5	5	5	5	3	5	5	4	4	5	4	4	7	7	6	6	7	4	5	6	7	7	5	5	2	2	1	2
2	3	2	2	3	5	3	7	3	2	2	2	7	4	6	6	7	5	7	7	6	7	7	5	1	2	1	1
5	6	6	7	4	4	3	4	3	6	4	5	5	6	4	6	5	4	3	4	5	6	3	6	1	1	1	1
7	5	6	7	5	6	6	6	5	6	4	7	7	7	6	7	5	3	6	6	6	7	6	7	1	5	1	1
4	6	5	5	5	5	3	4	3	2	2	3	5	5	4	5	6	3	4	5	5	6	5	5	1	1	1	1
4	5	6	6	3	4	4	6	3	3	3	4	6	5	6	6	5	6	5	6	5	7	7	7	2	3	2	1
7	6	7	5	6	4	6	6	4	4	3	4	7	6	6	6	6	2	4	4	6	6	4	5	1	2	1	2
6	5	5	6	5	5	5	5	5	4	4	5	6	5	6	6	6	4	4	5	5	5	6	6	1	1	1	1
5	6	5	5	4	5	6	5	5	4	5	4	5	6	5	6	6	4	5	5	3	4	4	5	2	3	2	2
5	5	5	6	5	4	5	5	5	4	2	1	6	7	5	4	5	4	5	5	6	7	6	7	1	2	1	1
5	5	6	6	4	6	2	6	5	3	2	2	7	7	5	6	6	5	6	6	7	7	7	7	1	2	2	1
7	6	7	7	7	6	5	4	3	7	5	5	6	7	6	6	7	3	7	7	4	5	4	5	1	1	1	1
6	5	7	6	5	7	6	2	4	4	2	2	7	7	7	7	7	5	6	7	5	7	6	7	1	1	1	1
6	6	6	6	3	7	7	5	4	4	4	4	7	7	7	7	6	4	5	6	4	6	7	6	1	1	1	1
5	5	5	6	5	5	4	4	3	4	4	5	6	4	4	6	6	4	5	6	5	5	5	6	2	1	1	1
2	4	6	6	2	4	4	6	4	4	4	6	6	7	6	6	6	6	6	5	2	6	6	6	2	2	1	1
4	4	4	4	4	4	4	4	4	4	4	4	4	7	4	4	7	7	6	7	7	7	4	7	4	4	4	4
6	4	6	6	3	3	5	5	3	3	3	4	7	6	7	5	6	5	5	7	5	7	4	6	1	3	1	1
5	5	6	4	4	4	4	4	2	5	4	6	6	6	4	6	5	4	3	6	4	6	6	5	1	1	2	2
5	4	4	5	5	4	4	4	4	3	2	4	4	5	4	5	5	3	4	4	2	5	4	5	1	1	1	1
5	5	5	5	4	4	5	5	4	5	4	4	5	5	5	5	5	1	5	5	4	6	3	5	1	1	1	1




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time11 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net

\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 & 11 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=190450&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]11 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=190450&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=190450&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 time11 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net







Correlations for all pairs of data series (method=pearson)
Q1_5Q1_12Q1_19Q1_26
Q1_510.8840.8860.392
Q1_120.88410.8870.393
Q1_190.8860.88710.447
Q1_260.3920.3930.4471

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=pearson) \tabularnewline
  & Q1_5 & Q1_12 & Q1_19 & Q1_26 \tabularnewline
Q1_5 & 1 & 0.884 & 0.886 & 0.392 \tabularnewline
Q1_12 & 0.884 & 1 & 0.887 & 0.393 \tabularnewline
Q1_19 & 0.886 & 0.887 & 1 & 0.447 \tabularnewline
Q1_26 & 0.392 & 0.393 & 0.447 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=190450&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=pearson)[/C][/ROW]
[ROW][C] [/C][C]Q1_5[/C][C]Q1_12[/C][C]Q1_19[/C][C]Q1_26[/C][/ROW]
[ROW][C]Q1_5[/C][C]1[/C][C]0.884[/C][C]0.886[/C][C]0.392[/C][/ROW]
[ROW][C]Q1_12[/C][C]0.884[/C][C]1[/C][C]0.887[/C][C]0.393[/C][/ROW]
[ROW][C]Q1_19[/C][C]0.886[/C][C]0.887[/C][C]1[/C][C]0.447[/C][/ROW]
[ROW][C]Q1_26[/C][C]0.392[/C][C]0.393[/C][C]0.447[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=190450&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=190450&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=pearson)
Q1_5Q1_12Q1_19Q1_26
Q1_510.8840.8860.392
Q1_120.88410.8870.393
Q1_190.8860.88710.447
Q1_260.3920.3930.4471







Correlations for all pairs of data series with p-values
pairPearson rSpearman rhoKendall tau
Q1_5;Q1_120.88370.85150.7736
p-value(0)(0)(0)
Q1_5;Q1_190.88560.86880.7933
p-value(0)(0)(0)
Q1_5;Q1_260.39230.4660.3968
p-value(0)(0)(0)
Q1_12;Q1_190.88660.86150.7848
p-value(0)(0)(0)
Q1_12;Q1_260.39330.43690.37
p-value(0)(0)(0)
Q1_19;Q1_260.44730.51590.4461
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
Q1_5;Q1_12 & 0.8837 & 0.8515 & 0.7736 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Q1_5;Q1_19 & 0.8856 & 0.8688 & 0.7933 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Q1_5;Q1_26 & 0.3923 & 0.466 & 0.3968 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Q1_12;Q1_19 & 0.8866 & 0.8615 & 0.7848 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Q1_12;Q1_26 & 0.3933 & 0.4369 & 0.37 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Q1_19;Q1_26 & 0.4473 & 0.5159 & 0.4461 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=190450&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]Q1_5;Q1_12[/C][C]0.8837[/C][C]0.8515[/C][C]0.7736[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Q1_5;Q1_19[/C][C]0.8856[/C][C]0.8688[/C][C]0.7933[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Q1_5;Q1_26[/C][C]0.3923[/C][C]0.466[/C][C]0.3968[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Q1_12;Q1_19[/C][C]0.8866[/C][C]0.8615[/C][C]0.7848[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Q1_12;Q1_26[/C][C]0.3933[/C][C]0.4369[/C][C]0.37[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Q1_19;Q1_26[/C][C]0.4473[/C][C]0.5159[/C][C]0.4461[/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=190450&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=190450&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
pairPearson rSpearman rhoKendall tau
Q1_5;Q1_120.88370.85150.7736
p-value(0)(0)(0)
Q1_5;Q1_190.88560.86880.7933
p-value(0)(0)(0)
Q1_5;Q1_260.39230.4660.3968
p-value(0)(0)(0)
Q1_12;Q1_190.88660.86150.7848
p-value(0)(0)(0)
Q1_12;Q1_260.39330.43690.37
p-value(0)(0)(0)
Q1_19;Q1_260.44730.51590.4461
p-value(0)(0)(0)



Parameters (Session):
par1 = pearson ;
Parameters (R input):
par1 = pearson ;
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')