Free Statistics

of Irreproducible Research!

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_correlation.wasp
Title produced by softwarePearson Correlation
Date of computationThu, 23 Oct 2014 16:14:34 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Oct/23/t14140772850fdx2mhllfnmoe2.htm/, Retrieved Thu, 09 May 2024 21:44:21 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=245868, Retrieved Thu, 09 May 2024 21:44:21 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact63
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Pearson Correlation] [] [2014-10-23 15:14:34] [9557b7dfc2876fcd252dfc34a3b16021] [Current]
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Dataseries X:
4	7	7	6	1	5	7	7	7	7	6	1	7	1	5	7	4	4	1	4	4	7	5	5	5	1	5	5
5	5	6	4	1	4	5	5	5	6	4	1	4	3	5	5	6	3	1	4	5	5	5	6	4	1	4	4
4	6	6	6	2	5	5	6	5	6	2	1	4	4	5	4	5	5	1	5	4	5	4	5	5	2	5	5
3	4	5	4	2	4	5	6	5	6	2	2	4	5	6	5	4	2	2	5	5	6	5	5	3	2	5	6
6	5	6	2	2	4	5	6	5	6	2	2	4	5	6	5	6	2	2	4	5	6	5	6	2	2	4	5
5	6	7	5	1	6	7	5	6	7	5	1	6	7	5	6	6	5	1	6	7	7	7	7	4	1	5	7
5	7	7	1	1	5	7	7	4	7	1	1	4	1	5	7	7	1	1	4	4	6	7	7	1	1	4	7
1	6	7	6	1	3	5	6	5	7	4	1	2	5	6	5	6	5	4	2	6	7	6	7	5	2	5	6
4	6	7	3	1	4	3	7	7	6	5	2	6	2	7	7	5	4	1	5	4	7	6	6	4	1	4	7
5	6	6	4	1	4	6	6	5	6	4	1	3	3	6	5	5	3	1	5	3	6	6	6	3	1	4	6
6	5	4	3	1	2	7	7	2	7	1	1	6	6	7	4	7	1	1	5	5	7	6	6	5	1	6	7
7	5	6	2	1	5	6	7	5	7	2	1	5	4	6	6	7	5	1	6	2	7	6	7	4	1	4	5
5	4	6	4	1	3	5	6	5	7	4	1	4	3	6	4	7	3	1	3	3	5	6	7	3	1	3	3
6	6	7	3	1	5	3	6	6	7	2	1	5	3	6	6	7	2	1	5	3	6	6	7	1	1	5	2
5	6	6	5	1	6	7	7	6	7	6	1	7	6	6	7	7	6	1	7	7	7	7	7	6	1	7	7
4	5	6	3	2	4	5	6	5	6	3	3	4	5	6	6	6	3	2	5	5	6	5	5	2	1	4	5
7	3	4	3	1	3	7	7	3	7	2	1	1	5	7	4	6	2	1	2	5	7	3	7	2	1	2	5
7	7	7	6	1	6	7	7	6	7	6	1	6	5	7	6	7	6	1	7	4	7	7	7	6	1	6	6
6	3	7	1	1	7	7	7	5	7	2	1	7	1	7	6	7	1	1	5	6	7	6	6	1	1	7	7
6	5	6	1	2	2	6	7	5	7	6	2	4	5	6	6	6	4	2	3	6	6	6	6	4	2	4	6
2	3	3	1	1	6	5	5	3	5	1	1	5	3	5	4	5	1	1	3	4	4	4	6	2	1	5	5
7	5	7	5	1	4	7	7	5	4	4	4	4	4	7	5	7	5	1	1	6	7	6	6	5	1	6	7
5	2	5	2	1	1	4	5	1	6	1	1	1	2	5	2	5	1	1	2	3	6	2	4	2	1	1	5
4	6	7	3	1	4	7	6	5	7	4	1	4	3	7	6	7	3	1	5	2	7	6	7	3	1	3	5
7	3	6	3	1	3	7	7	4	7	2	2	2	5	6	5	6	2	1	5	5	7	5	7	4	1	4	6
1	6	5	5	1	6	7	6	6	7	5	1	6	5	2	6	6	6	1	7	5	5	7	5	1	1	5	7
1	6	5	5	1	6	7	6	6	7	5	1	6	5	2	6	6	6	1	7	5	5	7	5	1	1	5	7
7	5	6	1	1	3	3	6	4	6	1	1	3	2	7	5	2	1	1	2	1	7	5	6	2	1	1	2
4	5	5	2	1	6	7	6	4	2	1	1	5	4	4	5	2	2	1	4	5	6	6	2	4	1	4	6
5	7	6	3	1	4	5	6	5	6	4	1	5	6	4	5	5	4	1	5	6	6	6	7	4	1	5	6
5	6	6	5	1	7	7	6	4	7	4	1	6	6	5	6	6	4	1	6	5	6	6	6	4	1	6	7
5	5	5	3	1	4	5	5	5	6	5	1	5	4	5	6	6	4	1	5	6	6	6	6	5	1	5	6
4	5	4	5	4	4	5	3	6	4	5	6	4	6	4	5	4	4	3	5	7	1	5	6	6	2	5	6
5	4	5	3	3	3	4	3	3	5	3	3	4	3	7	4	4	3	3	4	4	5	4	6	3	1	4	4
5	4	4	2	1	4	5	5	5	5	1	1	1	6	7	6	5	1	1	3	5	7	5	6	3	1	4	6
4	6	6	4	2	6	6	6	5	6	5	2	5	3	4	5	6	3	2	6	6	5	6	6	4	2	4	6
7	5	6	3	1	3	7	7	3	7	2	1	3	4	7	5	5	1	1	3	7	7	5	5	1	1	3	7
7	5	7	3	1	2	5	7	5	6	3	1	4	4	4	5	6	3	1	5	2	5	5	6	5	1	4	5
7	7	7	6	1	7	7	7	7	7	6	1	7	7	6	7	7	6	1	7	7	7	7	7	6	1	7	7
4	5	7	6	1	7	7	6	6	6	4	1	7	5	6	5	7	3	1	5	5	6	6	6	2	1	6	6
7	5	7	3	1	5	6	7	4	7	4	1	5	5	6	5	5	4	1	5	5	7	4	7	4	4	4	5
7	6	5	3	1	5	6	7	5	6	2	1	5	4	6	7	6	2	1	5	5	6	5	6	3	1	5	6
4	5	6	4	2	6	7	6	5	5	3	2	7	6	6	5	5	3	1	6	6	6	5	6	4	1	5	7
3	6	6	4	1	7	7	6	6	6	5	2	7	4	7	7	6	4	1	5	5	5	6	6	5	1	7	6
2	7	3	2	1	6	6	5	7	7	5	1	7	4	6	6	5	3	1	6	5	6	6	6	2	1	6	6
6	5	6	2	4	3	6	6	3	5	2	4	2	2	6	3	4	2	4	2	4	6	4	5	3	4	5	6
4	5	5	3	1	4	4	6	4	6	2	2	3	3	4	4	5	2	1	2	2	5	4	6	2	1	3	3
5	5	4	2	3	4	7	7	6	5	1	3	2	6	7	6	6	1	3	4	6	7	6	5	4	3	5	6
4	6	6	5	2	4	5	6	5	6	4	2	4	4	6	5	6	4	1	5	4	6	5	7	5	1	4	4
7	2	6	5	3	2	6	7	2	6	1	2	4	6	7	4	3	2	2	3	6	7	5	5	2	2	5	6
4	4	6	6	2	4	5	6	4	6	4	2	4	3	6	4	4	3	4	4	3	5	6	6	4	1	4	4
6	4	5	3	1	3	3	5	4	7	4	1	4	4	7	6	6	4	1	2	3	5	5	5	3	1	2	3
7	6	6	3	2	5	7	7	5	6	5	1	5	5	7	5	6	4	1	5	7	7	6	7	4	1	5	7
1	3	5	2	1	3	6	4	4	6	4	1	4	2	2	4	5	2	1	2	4	3	5	7	2	1	2	4
5	6	7	5	1	5	6	7	6	5	5	1	5	7	6	6	5	4	1	6	4	6	6	6	5	1	6	7
4	6	6	2	1	5	5	5	2	5	2	2	5	6	6	5	5	2	1	5	5	6	5	6	4	1	5	5
5	5	6	4	1	4	5	6	4	6	3	1	5	5	5	5	6	3	1	5	5	5	6	6	4	1	5	5
5	6	7	4	1	5	7	7	6	7	2	1	5	1	6	6	6	2	1	5	2	6	6	5	2	1	2	4
5	1	4	1	1	5	7	7	4	5	1	1	5	6	6	6	6	1	1	5	6	6	3	6	1	1	6	6
5	5	3	6	2	6	7	7	5	4	5	1	5	6	6	6	4	4	1	6	6	7	6	1	4	1	6	6
5	7	4	2	1	4	6	7	6	6	2	1	4	2	6	5	3	1	1	5	5	7	6	4	4	1	5	7
5	4	4	3	3	4	6	6	4	6	3	1	5	5	6	5	5	3	1	5	6	6	5	5	3	1	3	5
6	5	5	4	1	7	7	6	6	7	4	1	7	5	4	5	5	4	1	7	4	5	5	6	4	1	6	4
3	6	4	3	1	6	7	6	6	5	2	1	6	6	3	5	7	1	1	6	6	4	6	7	5	1	7	7
4	4	6	4	4	5	5	4	5	5	5	4	5	5	4	4	5	4	5	4	4	5	4	4	5	5	5	4
6	6	7	3	1	6	7	6	6	7	2	1	5	4	7	5	7	1	1	5	4	6	5	7	5	1	6	7
6	6	6	6	1	6	6	6	6	6	6	2	6	6	6	6	6	6	2	6	6	6	6	6	6	1	6	6
3	5	6	4	1	5	5	7	4	7	5	1	5	2	6	6	6	4	1	5	4	7	6	5	4	1	5	6
5	5	6	5	1	4	6	7	6	6	4	1	5	6	7	5	6	4	1	5	6	6	6	6	5	1	5	6
2	3	6	3	1	2	5	7	3	6	2	2	3	5	7	5	6	2	1	2	5	7	5	6	2	1	4	5
7	5	7	4	1	7	5	7	5	7	4	1	5	4	7	5	7	5	1	5	5	7	6	7	6	1	5	5
7	6	6	3	1	5	6	7	5	7	5	1	5	2	5	6	6	5	1	6	6	7	6	6	5	1	6	6
4	5	6	3	1	5	6	6	5	6	4	2	4	2	6	6	5	3	1	3	2	6	6	4	2	1	4	5
6	6	6	6	1	6	6	5	6	6	6	3	5	5	3	6	7	5	3	5	6	5	6	6	6	3	4	6
6	6	7	6	1	6	7	7	6	6	6	2	6	6	6	6	6	5	1	6	7	7	6	6	5	1	6	6
3	4	5	2	2	4	6	5	4	4	4	2	4	6	5	4	4	4	2	4	5	5	4	5	4	2	4	5
3	4	4	2	2	4	5	5	4	4	4	2	4	5	5	4	4	4	2	4	5	5	4	5	4	2	4	5
6	6	7	6	1	6	7	7	5	7	3	2	6	5	6	5	6	3	1	5	6	6	5	6	4	1	5	6
7	7	7	5	1	6	7	7	6	7	6	1	4	5	6	6	7	5	1	7	7	7	7	7	7	1	7	7
3	4	6	1	1	5	6	2	3	4	2	1	5	5	4	3	6	3	1	2	5	3	5	5	1	1	4	5
1	5	7	2	1	7	7	6	6	7	2	1	6	5	4	7	6	4	1	7	6	4	7	7	2	1	7	7
5	6	6	5	1	3	6	6	2	6	2	1	3	3	5	5	5	2	2	3	2	5	5	5	3	1	2	2
5	6	5	3	1	6	6	6	5	6	3	1	5	4	6	6	5	3	1	6	5	6	6	5	3	1	4	5
5	5	7	3	1	5	7	6	3	6	2	1	5	3	5	6	5	3	1	5	6	6	6	7	4	1	5	6
5	3	6	4	2	6	6	5	4	6	4	2	5	4	5	5	5	5	2	6	6	6	5	5	4	2	3	7
6	7	5	6	1	7	7	6	6	7	5	1	7	7	6	6	6	5	1	7	7	6	6	5	5	1	6	7
6	6	6	4	1	4	7	7	5	6	4	2	6	5	7	6	7	4	1	5	5	7	7	7	4	1	5	5
5	4	5	2	4	2	5	5	4	4	3	3	4	5	5	4	5	3	4	3	5	7	5	5	3	3	3	5
7	4	7	4	3	3	3	7	5	7	4	2	2	1	7	6	7	4	2	2	1	7	4	4	2	1	1	1
6	5	6	4	2	5	6	6	5	6	3	2	6	4	7	5	3	3	2	5	5	7	5	6	3	2	5	6
1	3	2	2	1	5	6	5	4	2	2	1	3	4	2	4	4	2	1	5	5	2	4	5	3	1	5	5
3	7	5	4	1	6	5	6	7	6	5	1	6	3	5	7	6	5	1	6	4	5	6	7	5	1	6	6
5	6	7	3	1	3	6	7	4	6	3	3	3	5	4	6	7	3	1	5	5	6	6	5	4	1	5	7
1	6	7	6	1	3	6	7	6	6	5	1	5	5	7	6	7	4	1	5	3	6	5	6	4	1	5	6
6	4	7	4	2	5	6	6	4	6	3	1	5	6	6	4	6	3	2	5	6	6	4	6	3	2	5	6
4	5	7	4	1	5	7	7	4	7	3	1	5	5	7	5	7	3	1	5	5	7	5	4	3	4	5	5
5	6	6	3	1	3	6	6	6	6	4	1	5	3	5	6	4	2	1	6	6	5	7	6	4	1	5	6
5	5	5	3	2	4	6	5	3	6	3	1	4	3	5	5	5	4	1	4	4	5	6	5	4	2	5	5
6	6	6	3	1	1	6	5	4	6	3	1	4	4	4	4	5	3	1	5	5	6	5	6	3	1	6	6
5	6	6	4	3	7	7	6	7	6	6	2	6	5	7	7	7	6	1	6	5	6	6	6	6	1	7	6
5	4	5	2	1	4	6	6	5	7	3	1	2	5	5	6	6	3	1	5	6	7	6	6	3	1	4	6
4	5	7	2	1	7	5	6	5	7	1	1	7	3	4	5	3	1	1	5	2	4	5	4	1	1	3	5
6	6	5	3	2	4	5	6	6	5	5	2	4	5	6	6	5	5	2	4	6	6	6	6	5	2	5	5
6	5	6	3	1	5	6	6	5	6	6	1	6	6	6	6	6	5	1	6	6	6	6	7	5	1	6	6
4	5	5	4	1	5	6	5	5	7	4	1	6	6	5	5	5	3	1	6	5	5	5	5	3	1	4	6
5	4	5	4	2	6	6	5	4	5	4	3	4	5	5	5	5	3	3	5	5	5	5	5	4	2	4	5
5	4	5	2	2	4	5	5	5	5	5	2	5	4	3	5	5	3	2	3	6	5	4	5	2	2	2	6
2	6	5	5	1	4	6	7	6	6	4	2	4	4	5	5	5	4	2	5	4	6	7	7	6	1	4	6
7	5	7	5	1	4	4	7	5	7	4	1	4	2	6	7	7	1	1	3	4	7	7	7	5	1	1	1
5	6	6	4	1	6	6	6	5	6	3	1	6	3	6	6	6	5	1	6	6	6	5	5	5	1	6	7
5	5	7	4	1	4	7	7	4	7	1	1	4	6	7	7	7	2	1	4	7	7	7	7	1	1	6	7
2	6	6	3	1	3	7	7	4	6	2	2	5	6	7	6	6	3	1	6	6	7	6	6	2	1	6	6
3	5	5	4	1	3	5	4	5	5	3	1	3	6	5	5	4	2	1	5	3	5	5	4	3	1	5	4
5	4	5	4	2	5	5	5	5	5	2	2	5	5	5	4	5	3	1	5	5	6	5	5	3	1	5	5
5	6	7	5	1	5	7	7	6	7	5	1	6	6	6	6	7	5	1	6	5	7	7	7	5	1	5	6
5	4	6	4	1	3	3	7	5	5	2	2	3	2	4	4	5	3	1	4	2	7	5	5	3	1	2	3
6	5	5	5	2	4	7	7	3	6	2	2	5	6	7	3	6	2	2	3	7	7	5	4	3	1	4	7
6	5	7	3	2	5	5	6	5	7	4	4	4	5	5	5	5	3	1	4	5	7	5	6	4	1	4	6
4	6	4	2	1	5	7	5	3	6	2	2	6	3	6	5	2	1	1	5	5	5	5	7	1	1	6	6
6	3	3	1	2	3	5	7	4	6	3	1	3	5	7	5	4	3	4	4	2	7	3	5	3	1	2	6
3	5	7	5	2	3	3	4	4	4	4	4	4	4	7	5	5	5	2	2	3	7	5	5	4	2	5	5
6	4	5	5	2	5	6	6	5	6	3	2	6	6	6	5	5	4	3	6	6	6	5	6	6	1	6	6
4	5	6	3	2	3	5	6	2	5	1	1	4	5	6	5	6	1	1	3	6	5	4	7	2	1	5	6
3	5	4	4	4	4	4	3	5	4	5	3	5	4	4	3	4	4	3	4	3	5	4	3	5	2	4	3
4	7	7	4	1	7	7	7	7	7	1	1	7	7	7	7	7	1	1	7	7	7	7	7	3	1	7	7
6	5	7	5	2	6	6	6	6	7	4	1	5	2	6	6	6	4	1	6	5	7	6	6	4	1	3	5
4	7	5	5	1	5	7	7	6	6	5	1	6	6	5	6	6	6	1	6	7	6	6	6	6	1	6	6
6	5	7	3	1	2	2	6	5	7	3	2	2	6	6	4	6	3	1	7	4	6	6	6	2	2	2	5
5	4	3	4	1	4	5	5	4	6	4	1	5	4	5	4	5	3	1	5	5	6	5	6	4	1	4	5
5	6	6	6	1	6	6	6	6	5	3	1	6	4	5	6	5	3	1	5	6	6	5	6	5	1	6	6
5	4	5	4	3	6	6	6	3	5	3	2	3	3	6	4	5	4	1	5	4	6	5	5	4	1	5	5
3	4	5	5	2	5	6	7	7	6	6	2	6	6	6	6	6	6	2	6	6	6	6	6	5	1	6	6
5	4	6	4	1	4	2	6	3	6	2	7	2	5	4	2	4	1	1	2	3	5	2	6	2	1	4	5
4	4	5	4	1	4	6	7	4	7	4	1	4	6	6	5	6	2	1	4	3	6	5	6	3	1	4	3
5	6	6	5	1	5	7	6	6	6	5	2	5	6	7	5	5	4	1	7	6	7	7	6	6	1	6	7
5	6	6	4	2	3	4	6	5	5	4	3	3	1	6	6	5	3	1	4	3	6	6	6	3	2	3	3
1	5	7	3	5	5	7	7	6	7	4	3	5	5	7	5	5	2	2	7	7	7	5	7	5	1	5	7
4	3	5	3	1	5	7	7	4	5	3	4	5	4	7	4	6	2	1	4	5	7	5	7	4	1	4	5
7	6	7	6	1	5	6	7	6	7	4	1	6	6	6	6	7	5	1	7	5	6	6	6	5	1	5	6
4	5	6	5	2	6	6	7	6	5	5	2	5	6	5	6	6	5	2	5	5	6	6	6	5	2	4	6
6	4	6	2	1	4	2	6	4	5	3	2	2	5	5	5	5	2	1	2	4	7	5	5	1	2	2	4
7	5	7	4	2	3	7	7	5	7	5	2	5	4	5	5	6	4	1	5	5	5	5	6	4	2	4	6
6	2	7	3	1	3	7	7	3	4	2	2	5	5	7	2	6	2	1	3	7	5	2	6	2	1	7	7
5	5	5	3	1	4	5	6	6	6	6	1	4	4	3	6	4	4	1	3	3	6	7	6	5	1	4	4
6	7	7	5	1	5	5	7	5	7	6	5	6	3	6	6	6	4	1	6	6	7	7	7	7	1	6	6
5	4	5	3	1	5	6	6	6	5	2	1	5	3	5	5	4	2	1	3	4	5	5	5	3	1	4	5
5	4	6	3	2	3	5	7	5	5	3	3	4	6	7	6	6	3	2	4	5	7	6	6	4	1	6	6
6	7	7	4	1	6	6	6	6	6	4	2	4	2	4	7	6	3	1	6	4	5	5	6	4	2	6	4
5	6	6	5	1	5	6	5	5	5	4	1	5	4	6	5	6	4	1	5	4	6	6	6	5	1	5	5
3	5	5	5	2	4	6	4	6	6	4	3	5	4	4	5	5	5	2	6	5	5	5	6	4	2	5	5
6	5	6	5	1	5	5	7	5	7	4	2	4	4	6	5	5	2	1	5	5	7	6	4	1	1	5	5
7	5	7	5	1	4	6	7	5	7	3	2	6	5	7	6	5	2	2	2	6	7	6	6	2	1	6	6
4	7	6	3	1	7	7	5	6	7	7	1	6	3	4	7	6	5	1	5	7	5	7	6	5	1	4	7
5	6	7	4	1	5	7	7	5	7	4	1	7	5	6	7	7	2	1	6	6	7	6	7	2	1	2	7
4	6	7	4	1	3	6	6	6	7	4	1	7	4	7	6	7	4	1	7	5	6	6	7	4	1	5	6
5	5	6	3	2	5	6	5	5	4	4	1	5	4	5	5	4	4	1	4	5	6	6	6	5	1	4	6
2	2	6	4	2	2	6	6	4	7	4	2	4	6	6	6	6	4	1	4	6	6	6	6	6	1	6	5
7	4	4	4	4	4	7	7	4	7	4	4	4	7	4	4	4	4	4	4	6	7	4	4	4	4	4	7
5	6	7	3	1	3	6	7	4	6	3	3	3	5	4	6	7	3	1	5	5	6	6	5	4	1	5	7
4	5	6	2	1	4	5	6	5	6	5	1	4	4	6	6	4	4	2	4	3	5	4	6	6	2	4	6
2	5	4	4	1	5	5	5	4	5	3	1	4	3	4	4	4	2	1	4	4	5	5	5	4	1	4	4
4	5	5	4	1	4	5	6	5	5	5	1	4	1	3	5	5	4	1	5	5	5	5	5	4	1	5	5




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 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 & 0 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=245868&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]0 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=245868&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=245868&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 time0 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net



Parameters (Session):
Parameters (R input):
R code (references can be found in the software module):
x <- x[!is.na(y)]
y <- y[!is.na(y)]
y <- y[!is.na(x)]
x <- x[!is.na(x)]
bitmap(file='test1.png')
histx <- hist(x, plot=FALSE)
histy <- hist(y, plot=FALSE)
maxcounts <- max(c(histx$counts, histx$counts))
xrange <- c(min(x),max(x))
yrange <- c(min(y),max(y))
nf <- layout(matrix(c(2,0,1,3),2,2,byrow=TRUE), c(3,1), c(1,3), TRUE)
par(mar=c(4,4,1,1))
plot(x, y, xlim=xrange, ylim=yrange, xlab=xlab, ylab=ylab, sub=main)
par(mar=c(0,4,1,1))
barplot(histx$counts, axes=FALSE, ylim=c(0, maxcounts), space=0)
par(mar=c(4,0,1,1))
barplot(histy$counts, axes=FALSE, xlim=c(0, maxcounts), space=0, horiz=TRUE)
dev.off()
lx = length(x)
makebiased = (lx-1)/lx
varx = var(x)*makebiased
vary = var(y)*makebiased
corxy <- cor.test(x,y,method='pearson', na.rm = T)
cxy <- as.matrix(corxy$estimate)[1,1]
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Pearson Product Moment Correlation - Ungrouped Data',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Statistic',1,TRUE)
a<-table.element(a,'Variable X',1,TRUE)
a<-table.element(a,'Variable Y',1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,hyperlink('arithmetic_mean.htm','Mean',''),header=TRUE)
a<-table.element(a,mean(x))
a<-table.element(a,mean(y))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,hyperlink('biased.htm','Biased Variance',''),header=TRUE)
a<-table.element(a,varx)
a<-table.element(a,vary)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,hyperlink('biased1.htm','Biased Standard Deviation',''),header=TRUE)
a<-table.element(a,sqrt(varx))
a<-table.element(a,sqrt(vary))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,hyperlink('covariance.htm','Covariance',''),header=TRUE)
a<-table.element(a,cov(x,y),2)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,hyperlink('pearson_correlation.htm','Correlation',''),header=TRUE)
a<-table.element(a,cxy,2)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,hyperlink('coeff_of_determination.htm','Determination',''),header=TRUE)
a<-table.element(a,cxy*cxy,2)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,hyperlink('ttest_statistic.htm','T-Test',''),header=TRUE)
a<-table.element(a,as.matrix(corxy$statistic)[1,1],2)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'p-value (2 sided)',header=TRUE)
a<-table.element(a,(p2 <- as.matrix(corxy$p.value)[1,1]),2)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'p-value (1 sided)',header=TRUE)
a<-table.element(a,p2/2,2)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Degrees of Freedom',header=TRUE)
a<-table.element(a,lx-2,2)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Number of Observations',header=TRUE)
a<-table.element(a,lx,2)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable.tab')
library(moments)
library(nortest)
jarque.x <- jarque.test(x)
jarque.y <- jarque.test(y)
if(lx>7) {
ad.x <- ad.test(x)
ad.y <- ad.test(y)
}
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Normality Tests',1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,paste('
',RC.texteval('jarque.x'),'
',sep=''))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,paste('
',RC.texteval('jarque.y'),'
',sep=''))
a<-table.row.end(a)
if(lx>7) {
a<-table.row.start(a)
a<-table.element(a,paste('
',RC.texteval('ad.x'),'
',sep=''))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,paste('
',RC.texteval('ad.y'),'
',sep=''))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')
library(car)
bitmap(file='test2.png')
qq.plot(x,main='QQplot of variable x')
dev.off()
bitmap(file='test3.png')
qq.plot(y,main='QQplot of variable y')
dev.off()