Free Statistics

of Irreproducible Research!

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_meanplot.wasp
Title produced by softwareMean Plot
Date of computationSun, 20 Oct 2013 14:37:53 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Oct/20/t1382294292s0hii0g09dhjuqn.htm/, Retrieved Sun, 28 Apr 2024 13:12:02 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=217196, Retrieved Sun, 28 Apr 2024 13:12:02 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact83
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Maximum-likelihood Fitting - Normal Distribution] [Intrinsic Motivat...] [2010-10-12 11:57:21] [b98453cac15ba1066b407e146608df68]
- RMPD    [Mean Plot] [WS 3 Task 2] [2013-10-20 18:37:53] [6b92c6b72208b98f35c650918bf39b5d] [Current]
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Dataseries X:
7	7	7	5	5	7	4	5	6	6	4	5	7	7	4	5	7	1	4	5	4	7	5	7	1	1	1	1
5	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 time1 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.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 & 1 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=217196&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]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=217196&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=217196&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 time1 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.wessa.net



Parameters (Session):
par1 = 12 ;
Parameters (R input):
par1 = 12 ;
R code (references can be found in the software module):
par1 <- '12'
par1 <- as.numeric(par1)
(n <- length(x))
(np <- floor(n / par1))
arr <- array(NA,dim=c(par1,np+1))
darr <- array(NA,dim=c(par1,np+1))
ari <- array(0,dim=par1)
dx <- diff(x)
j <- 0
for (i in 1:n)
{
j = j + 1
ari[j] = ari[j] + 1
arr[j,ari[j]] <- x[i]
darr[j,ari[j]] <- dx[i]
if (j == par1) j = 0
}
ari
arr
darr
arr.mean <- array(NA,dim=par1)
arr.median <- array(NA,dim=par1)
arr.midrange <- array(NA,dim=par1)
for (j in 1:par1)
{
arr.mean[j] <- mean(arr[j,],na.rm=TRUE)
arr.median[j] <- median(arr[j,],na.rm=TRUE)
arr.midrange[j] <- (quantile(arr[j,],0.75,na.rm=TRUE) + quantile(arr[j,],0.25,na.rm=TRUE)) / 2
}
overall.mean <- mean(x)
overall.median <- median(x)
overall.midrange <- (quantile(x,0.75) + quantile(x,0.25)) / 2
bitmap(file='plot1.png')
plot(arr.mean,type='b',ylab='mean',main='Mean Plot',xlab='Periodic Index')
mtext(paste('#blocks = ',np))
abline(overall.mean,0)
dev.off()
bitmap(file='plot2.png')
plot(arr.median,type='b',ylab='median',main='Median Plot',xlab='Periodic Index')
mtext(paste('#blocks = ',np))
abline(overall.median,0)
dev.off()
bitmap(file='plot3.png')
plot(arr.midrange,type='b',ylab='midrange',main='Midrange Plot',xlab='Periodic Index')
mtext(paste('#blocks = ',np))
abline(overall.midrange,0)
dev.off()
bitmap(file='plot4.png')
z <- data.frame(t(arr))
names(z) <- c(1:par1)
(boxplot(z,notch=TRUE,col='grey',xlab='Periodic Index',ylab='Value',main='Notched Box Plots - Periodic Subseries'))
dev.off()
bitmap(file='plot4b.png')
z <- data.frame(t(darr))
names(z) <- c(1:par1)
(boxplot(z,notch=TRUE,col='grey',xlab='Periodic Index',ylab='Value',main='Notched Box Plots - Differenced Periodic Subseries'))
dev.off()
bitmap(file='plot5.png')
z <- data.frame(arr)
names(z) <- c(1:np)
(boxplot(z,notch=TRUE,col='grey',xlab='Block Index',ylab='Value',main='Notched Box Plots - Sequential Blocks'))
dev.off()
bitmap(file='plot6.png')
z <- data.frame(cbind(arr.mean,arr.median,arr.midrange))
names(z) <- list('mean','median','midrange')
(boxplot(z,notch=TRUE,col='grey',ylab='Overall Central Tendency',main='Notched Box Plots'))
dev.off()