Free Statistics

of Irreproducible Research!

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_surveyscores.wasp
Title produced by softwareSurvey Scores
Date of computationFri, 18 Oct 2013 12:08:00 -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/18/t1382112724jge8hr3q594zia6.htm/, Retrieved Thu, 31 Oct 2024 23:29:48 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=216602, Retrieved Thu, 31 Oct 2024 23:29:48 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact152
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Survey Scores] [] [2013-10-18 16:08:00] [d4f4c31d85c50f8f61914fc31b2124f2] [Current]
Feedback Forum

Post a new message
Dataseries X:
4	4	4	4	5	4	4	4	3	5	2	4	4	4	2	2	4	4	4	1
4	4	4	4	4	3	4	5	2	4	1	5	4	3	3	4	5	4	2	3
2	4	4	4	3	3	4	3	3	2	3	4	4	4	3	3	4	4	2	2
4	4	4	3	4	2	2	3	2	4	3	4	5	4	4	2	3	2	4	2
4	4	2	3	4	4	4	4	2	3	1	4	4	3	2	3	3	4	4	1
3	3	3	3	2	3	3	2	1	3	3	4	3	2	1	4	3	3	3	2
2	4	4	5	5	5	5	5	4	5	2	4	5	4	5	1	4	4	4	2
5	4	5	4	5	3	5	3	4	4	5	4	5	5	4	2	3	3	4	3
4	4	4	2	4	4	4	5	3	4	3	5	5	4	4	2	3	4	4	3
3	4	4	4	4	4	2	3	3	3	2	4	5	2	3	2	3	3	4	2
4	3	3	4	5	3	4	4	3	4	1	5	3	3	3	2	3	3	4	3
3	3	4	4	3	2	4	4	2	5	4	4	5	4	4	4	4	4	4	3
3	5	4	4	5	5	3	5	2	4	3	4	4	4	3	2	2	3	2	2
3	4	4	4	4	4	3	4	3	4	4	4	2	2	3	3	4	3	4	3
4	3	3	3	2	4	4	2	4	3	3	3	3	3	4	3	2	3	3	4
4	4	2	2	2	5	4	5	4	5	3	4	4	3	4	1	3	4	3	2
3	5	4	4	3	4	2	3	4	3	3	3	4	4	4	3	4	3	3	4
2	4	2	4	3	2	2	4	2	4	1	3	5	2	2	1	1	1	3	1
3	5	4	4	4	3	5	4	3	4	5	4	4	5	2	2	4	5	2	2
3	4	2	3	4	5	4	4	3	3	4	5	2	4	4	3	5	4	4	2
3	4	2	4	4	3	3	4	3	4	2	3	4	4	2	2	4	2	3	3
3	4	4	2	4	3	3	5	3	3	2	4	1	5	3	2	4	3	2	4
2	2	2	4	2	2	3	2	3	2	4	2	4	2	4	4	2	3	2	2
4	3	4	4	3	4	4	4	4	4	3	4	4	3	4	3	3	3	3	3
5	5	4	4	4	4	4	5	3	4	2	4	2	3	2	1	2	2	2	1
4	4	4	3	4	4	4	4	3	4	2	4	5	3	2	2	4	2	4	3
4	4	2	2	2	2	2	2	4	2	4	2	2	3	2	4	2	2	4	4
NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA
2	5	4	3	3	4	2	4	3	4	5	4	5	4	4	2	4	5	2	1
4	4	3	3	4	4	4	4	3	4	2	3	4	3	4	2	4	4	4	2
4	4	4	3	2	4	5	5	4	4	5	1	4	3	3	2	5	3	3	1
4	4	5	2	2	4	3	4	4	4	4	3	4	3	4	3	4	5	3	3
4	5	4	3	4	4	4	4	3	4	4	4	5	3	4	2	4	3	4	2
2	4	2	3	3	4	2	4	3	2	4	3	4	3	2	2	4	4	3	3
2	3	2	3	4	4	4	4	3	4	2	3	4	5	2	3	3	4	3	2
4	2	4	4	3	4	4	4	3	4	3	4	4	3	4	1	2	3	4	2
4	2	4	4	3	4	2	4	1	4	3	4	2	3	4	1	5	4	5	5
3	3	4	3	3	4	3	4	3	4	3	4	4	4	3	2	4	4	4	4
4	2	3	3	5	4	2	4	3	3	2	5	5	5	4	2	4	4	4	4
4	4	4	3	4	4	4	3	2	4	3	4	4	4	3	3	5	4	3	3
NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA
4	4	5	4	5	2	4	4	4	4	2	4	5	2	5	3	4	4	2	3
3	4	4	4	3	4	3	4	3	4	4	4	5	4	3	2	4	4	3	3
5	5	5	2	4	3	3	4	2	2	2	4	5	3	4	3	3	4	4	3
3	4	3	4	4	3	4	4	3	4	2	4	5	3	3	3	3	4	4	3
3	4	4	3	4	4	3	4	4	4	2	4	4	3	3	2	3	3	3	2
2	3	3	3	2	4	2	3	2	3	3	2	4	2	3	4	2	1	4	2
5	5	4	4	4	4	4	5	3	5	5	3	4	4	4	1	3	2	3	4
3	4	3	4	4	3	4	3	2	2	4	4	5	4	3	3	3	4	4	2
3	4	3	3	5	4	3	4	3	4	2	3	5	4	3	2	4	4	4	3
4	3	3	4	5	4	4	4	3	4	2	3	4	4	5	2	3	4	4	2
3	4	5	5	5	4	5	5	3	5	4	4	5	5	3	3	3	4	3	3
3	4	3	3	4	3	4	3	3	4	3	3	5	3	3	2	3	2	3	2
2	4	3	2	5	1	3	4	2	5	1	5	4	2	3	2	4	4	4	2
3	3	1	3	3	4	2	4	2	3	2	5	5	3	4	5	4	4	5	4
4	4	4	4	4	4	4	4	3	4	2	4	2	4	2	3	5	4	3	4
2	3	4	5	4	4	4	5	2	5	2	4	4	4	4	3	4	4	2	3
4	4	5	4	4	4	4	3	3	4	3	4	4	2	4	2	4	5	5	4
3	5	4	2	4	4	4	4	3	4	4	3	5	3	3	2	3	4	4	2
4	4	5	1	3	5	5	5	2	5	5	4	4	5	4	3	2	4	5	3
4	5	4	3	4	4	2	3	2	3	1	4	4	2	3	3	4	4	2	3
4	4	4	3	4	4	4	5	2	4	2	4	5	3	4	4	4	4	3	3
2	3	4	3	4	3	3	3	2	2	2	4	4	4	2	4	3	4	2	1
2	4	4	4	5	5	4	5	4	5	2	2	4	3	2	4	5	2	4	3
2	4	2	2	4	1	2	2	1	2	1	4	2	4	2	2	4	4	4	2
4	4	4	4	4	5	4	4	3	4	2	5	5	4	5	5	4	5	5	5
4	2	3	3	4	3	3	5	2	4	3	4	4	1	2	2	4	2	2	2
2	3	4	4	4	4	4	5	3	4	3	4	4	3	4	2	3	3	5	2
4	4	3	4	4	5	4	4	3	4	2	4	4	4	2	3	5	4	3	2
4	4	5	5	4	4	5	5	3	4	4	4	3	4	4	2	4	4	4	3
4	3	4	2	3	5	5	5	4	5	3	5	2	3	3	3	4	4	3	3
3	4	3	2	2	4	3	5	4	3	5	3	5	5	1	1	3	4	3	4
4	5	5	4	5	5	4	5	3	5	1	5	4	4	4	3	4	4	3	4
4	3	5	3	4	4	4	2	4	3	2	4	4	4	4	2	4	2	4	2
5	4	5	3	4	5	4	4	2	5	3	5	4	3	4	2	4	4	4	3
4	4	4	2	4	4	4	5	1	5	4	4	5	4	1	2	4	4	1	4
3	2	2	3	4	3	4	3	2	4	2	4	3	4	3	2	4	4	4	2
4	4	4	4	4	4	4	5	3	4	3	5	5	3	3	3	4	3	3	3
NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA
2	5	4	1	5	5	5	5	4	4	2	4	2	4	2	2	2	4	4	1
2	4	2	2	2	4	4	5	2	5	2	5	4	5	2	4	4	4	3	2
4	3	4	4	4	4	3	4	2	4	3	4	5	3	3	1	3	4	2	2
4	4	4	2	4	4	4	5	1	4	2	3	5	4	3	1	3	4	4	3
4	4	4	4	4	4	4	4	1	4	4	5	5	4	4	2	4	4	4	4
2	4	3	5	5	2	3	3	1	3	3	4	4	2	4	1	3	4	4	3
5	5	5	5	5	5	5	5	3	5	1	4	4	4	4	2	3	3	4	1
4	4	4	4	4	3	4	4	3	5	1	4	5	3	3	4	3	3	3	3
2	3	2	2	4	2	4	2	1	2	3	4	4	2	3	4	3	4	4	4
5	5	3	4	4	4	4	5	3	5	2	5	4	3	4	3	3	3	4	3
3	3	3	3	4	4	4	4	3	5	3	4	4	5	3	3	3	3	3	3
4	5	4	4	4	4	3	4	3	4	3	3	5	2	3	1	3	3	4	4
5	4	5	4	4	3	4	5	4	5	2	5	5	5	3	2	3	4	4	5
3	4	4	4	4	4	2	4	2	3	1	3	4	4	2	2	3	4	4	2
3	3	4	4	4	3	5	4	2	4	3	4	4	3	3	2	3	3	3	4
4	5	5	4	4	4	4	4	3	5	1	4	4	2	4	2	3	5	4	2
4	5	4	5	5	4	5	5	4	5	2	5	5	4	4	3	4	2	5	4
4	4	4	4	3	5	3	4	3	4	2	4	5	4	3	4	4	4	4	2
3	4	5	3	4	5	3	4	2	3	4	2	5	3	4	2	3	2	5	1
3	2	2	4	3	3	4	4	2	2	3	4	4	3	3	2	3	3	3	3
4	4	3	4	2	5	2	3	2	3	5	3	5	4	1	1	3	3	3	1
5	5	3	4	3	5	4	5	4	5	5	4	4	5	5	3	3	4	5	4
3	4	4	4	5	4	3	5	3	3	4	4	4	4	4	3	3	3	3	3
5	5	5	4	5	5	5	5	3	5	3	5	5	4	4	4	3	5	4	3
4	4	2	3	4	4	3	4	2	4	2	4	4	3	3	2	4	3	3	2
4	5	4	3	3	4	3	3	4	4	3	4	4	3	4	2	3	4	4	2
4	4	4	4	4	4	3	3	2	4	2	4	4	3	3	3	3	2	4	1
4	4	3	3	3	4	4	4	4	4	4	4	4	3	4	4	2	4	3	4
1	5	5	5	4	5	2	4	1	4	3	5	5	3	4	4	1	3	2	1
3	3	2	4	4	4	4	4	4	4	3	3	4	3	3	2	3	4	3	2
4	4	4	4	4	3	4	4	3	4	2	4	2	4	4	2	4	4	4	3
4	4	2	3	5	5	4	5	3	4	3	5	5	5	3	2	2	2	3	4
4	4	4	4	4	3	4	4	2	4	4	2	4	3	3	2	2	4	3	3
4	4	2	3	3	5	2	4	3	4	4	4	4	2	2	1	4	5	3	2
3	4	3	3	4	4	3	4	3	4	3	5	5	4	5	4	4	4	4	4
4	4	3	4	3	4	4	4	4	4	3	4	4	3	3	3	4	4	4	3
2	2	4	2	3	4	5	5	1	5	2	4	4	5	3	1	4	1	4	1
2	2	4	3	4	5	4	5	4	5	5	4	2	4	3	3	3	4	3	3
3	4	5	4	4	4	4	4	4	5	3	3	5	3	3	3	4	3	3	1
5	4	4	5	3	4	4	4	3	5	1	4	5	5	2	2	4	4	4	4
3	3	4	4	4	5	4	4	4	4	1	4	5	3	3	1	4	4	4	1
4	4	4	2	5	4	4	4	2	5	4	4	2	5	2	2	4	4	5	4
NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA
3	3	2	4	4	3	3	4	4	4	3	4	4	4	3	3	3	3	2	2
2	1	4	3	3	5	2	4	3	2	5	4	4	5	2	3	4	5	3	2
3	3	3	3	3	5	3	4	3	4	3	3	4	4	3	1	4	3	4	2
2	3	3	3	3	5	4	4	3	4	2	5	5	3	3	3	4	4	3	3
5	5	5	4	4	3	5	5	4	5	4	4	5	4	4	4	5	5	3	5
4	5	1	3	5	4	4	3	3	4	1	3	5	4	4	1	2	3	4	4
3	4	4	3	4	4	3	4	3	4	3	4	2	3	3	4	3	4	3	3
4	3	4	4	3	5	4	5	2	4	1	4	2	5	3	2	4	5	4	2
2	3	4	3	3	4	3	4	4	5	1	4	2	3	4	2	3	4	4	2
3	3	4	4	4	3	4	4	2	2	2	2	2	2	2	2	3	2	3	1
4	4	4	5	3	4	3	4	3	5	2	4	5	5	4	4	4	3	3	3
2	4	4	2	3	4	2	4	4	3	2	4	5	4	4	3	4	4	4	5
4	3	5	4	4	3	5	5	3	4	3	5	5	4	3	5	3	3	2	3
5	5	4	2	3	5	5	5	4	4	5	5	2	5	4	4	4	4	2	4
4	4	4	4	4	3	3	4	4	4	1	2	2	2	3	2	2	4	2	2
3	2	3	2	3	2	5	4	2	4	1	4	5	3	3	2	4	4	4	4
2	3	4	2	4	4	5	4	2	4	3	5	5	4	4	2	4	4	4	4
4	2	4	4	5	5	5	4	2	3	2	4	5	5	3	1	3	5	4	2
4	4	4	4	4	2	4	4	3	4	1	3	5	2	3	2	3	2	3	2
3	3	4	3	5	4	5	4	4	3	2	5	5	4	3	2	4	4	5	4
5	4	3	3	5	4	5	5	3	4	1	5	5	5	4	3	5	5	5	4
2	2	4	3	4	5	5	5	3	4	2	5	5	4	3	1	3	3	4	2
4	3	4	4	3	4	4	5	3	4	4	4	4	4	3	2	3	3	3	3
5	3	2	4	3	4	3	4	4	4	3	4	5	4	3	2	2	4	4	4
3	4	2	4	4	2	4	4	2	4	3	2	5	3	3	1	4	1	4	4
3	4	3	3	4	3	3	4	3	3	1	4	5	3	3	3	4	4	3	3
3	4	3	4	4	3	4	4	3	4	1	4	4	3	3	2	2	4	4	2
3	3	4	4	4	4	3	4	2	4	2	4	4	3	3	1	3	3	4	1
3	3	3	4	3	3	4	3	2	3	4	5	1	4	4	3	4	3	4	3
2	4	4	5	3	4	4	4	3	3	4	5	5	5	3	5	4	5	5	4
4	2	3	3	3	4	4	3	4	3	1	5	4	4	3	1	5	4	4	2
4	4	4	4	5	4	2	3	1	3	1	5	5	3	3	1	4	4	4	2
3	3	3	3	4	4	4	4	3	3	1	4	5	4	3	2	3	4	3	3
4	4	3	2	2	3	4	2	4	2	4	4	2	4	3	4	3	4	4	2
3	4	4	3	4	4	3	4	4	2	2	4	4	4	2	2	3	4	4	2
3	4	4	4	1	3	4	4	5	4	2	3	5	3	3	1	4	2	2	1
2	4	3	4	5	4	2	2	2	4	3	2	5	3	3	1	3	2	4	2
4	2	5	4	4	4	5	5	3	5	3	4	4	3	3	2	2	4	4	4
4	4	4	4	4	4	4	4	5	5	1	4	5	3	3	2	3	3	3	3
4	4	4	3	4	4	5	4	3	3	2	5	5	4	3	1	5	4	5	3
2	2	4	5	4	4	4	5	3	5	1	4	5	2	3	2	2	2	2	2
3	4	4	4	4	4	3	4	3	4	2	3	4	3	2	2	3	3	4	4
2	3	4	2	3	2	4	4	4	5	3	4	1	3	4	1	5	3	2	3
4	1	4	2	2	4	2	4	3	4	5	4	4	2	4	1	4	4	3	3
5	4	5	4	4	4	5	5	3	4	2	4	5	5	4	2	5	3	4	2
4	4	5	3	4	4	4	5	4	4	3	4	5	4	3	2	5	4	5	2
2	4	4	2	4	2	2	4	2	4	4	2	5	2	4	1	2	5	4	2
4	4	3	4	4	4	4	4	3	4	2	3	5	3	3	2	3	3	3	4
4	2	5	4	4	4	4	5	3	5	3	2	4	2	2	3	4	2	3	1
3	4	2	4	4	4	3	4	3	4	2	5	5	4	3	2	3	4	3	3
4	2	4	2	4	3	4	4	4	4	2	3	5	4	4	2	3	2	4	3
4	3	4	3	5	3	4	4	3	4	2	4	5	4	3	4	4	5	4	4
4	4	4	2	2	3	4	4	2	4	4	4	4	4	3	3	2	2	4	4
NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA
5	3	5	5	5	1	2	4	2	3	4	5	5	5	5	4	4	5	5	4
2	3	3	5	4	4	4	4	1	5	2	4	5	2	3	1	4	4	4	1
4	4	4	3	5	5	5	5	2	5	4	4	5	3	4	1	4	4	4	5
4	4	4	3	5	4	5	5	2	4	2	4	4	4	2	2	5	5	4	3
4	5	2	2	4	4	2	2	5	3	2	5	1	1	3	3	3	1	4	3
3	3	4	4	3	4	5	4	4	3	3	4	5	4	3	4	4	4	3	2
4	4	4	4	4	4	4	4	2	4	1	4	4	4	3	3	4	2	4	4
2	2	3	4	4	2	3	3	1	2	2	4	5	1	2	2	3	3	4	2
4	4	5	4	4	4	4	4	4	4	2	5	4	4	4	2	4	2	2	1
NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA
4	4	4	4	4	4	4	5	4	5	5	5	5	4	4	2	2	3	5	4
3	4	3	4	4	5	4	5	5	4	4	4	4	4	4	2	4	5	5	4
2	3	3	4	4	4	4	4	1	5	3	4	3	3	5	3	3	4	3	1
4	3	3	4	4	2	4	3	2	3	4	4	2	4	3	2	3	3	3	4
3	3	4	3	4	4	2	3	3	5	2	4	5	4	3	3	3	4	3	4
NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA
4	3	4	4	4	4	5	5	3	4	1	3	5	3	3	3	3	4	2	4
NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA
3	3	3	4	3	5	4	4	3	4	2	4	4	5	2	2	2	4	4	4
4	4	2	3	4	4	3	4	4	3	3	5	5	4	3	2	3	4	4	2
NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA
3	5	3	5	4	4	4	3	2	3	5	4	4	4	4	3	2	5	5	3
NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA
NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA
4	4	2	4	2	2	4	2	4	4	1	4	5	3	2	2	4	4	3	4
4	5	5	5	5	4	5	4	4	5	1	5	5	4	3	2	5	5	2	4
1	4	1	2	2	5	3	4	3	4	4	4	5	4	3	4	4	3	3	3
5	4	5	5	5	4	5	5	3	3	2	4	5	5	4	3	4	4	5	3
4	4	3	4	4	5	4	5	4	2	1	5	5	4	4	4	5	4	4	3
3	3	3	3	4	3	4	4	3	3	1	4	4	4	3	1	3	3	4	2
2	4	2	4	3	4	4	4	3	4	2	3	4	4	3	1	2	2	3	2
4	4	4	4	4	4	5	4	3	5	1	4	4	3	5	1	4	5	3	2
3	4	3	4	3	4	4	4	2	3	1	3	5	4	3	1	2	3	4	3
3	4	4	3	3	4	4	4	4	3	2	3	5	3	3	2	4	4	4	3
NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA
3	4	3	5	5	4	4	4	3	3	3	4	4	2	3	3	3	3	3	4
3	3	3	4	4	3	3	4	2	4	3	4	5	3	3	2	4	3	4	3
3	4	3	4	5	5	4	4	3	3	1	4	5	4	4	3	4	4	3	4
2	3	2	4	4	3	4	4	2	4	3	4	5	4	2	3	2	2	2	2
4	4	4	4	4	4	5	5	3	4	3	5	5	5	4	3	4	3	4	4
4	4	2	4	3	5	4	4	4	4	2	4	5	5	3	3	4	3	3	3
4	5	4	4	4	3	4	5	4	4	1	5	5	3	3	3	3	4	5	5
NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA
4	3	4	2	4	2	4	3	2	4	3	4	5	4	4	1	2	3	4	4
3	4	3	3	4	2	3	3	2	2	4	3	2	2	3	3	2	3	3	4
4	2	4	4	2	4	3	3	2	3	4	3	2	2	3	3	2	4	3	3
3	3	2	2	1	1	2	1	4	2	3	2	1	2	3	4	2	3	2	4
3	4	3	4	4	4	3	4	2	3	1	4	2	3	3	2	3	3	4	3
3	3	2	4	4	3	4	1	3	3	1	3	5	2	3	1	4	4	4	4
4	4	5	3	3	3	4	4	3	4	3	5	4	4	4	2	4	4	3	4
NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA
5	2	4	2	5	1	4	3	2	2	4	5	4	3	3	2	2	4	4	4
2	2	1	1	2	2	3	1	2	2	4	1	2	2	2	3	2	1	2	2
4	2	3	4	3	2	3	4	2	4	4	3	5	2	3	2	4	4	3	4
5	5	5	5	3	5	5	5	5	5	1	5	5	2	5	4	4	5	4	4
NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA
4	3	4	2	4	3	2	4	4	3	2	5	5	2	4	1	3	5	4	2
4	4	4	3	4	4	4	2	3	4	3	3	4	4	3	3	2	3	4	2
NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA
NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA
NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA
4	4	3	4	4	4	4	3	3	4	3	4	4	5	2	1	2	3	4	1
4	4	4	4	3	4	4	4	1	5	2	4	4	4	4	2	3	4	4	4
NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA
5	5	5	4	5	4	5	5	5	5	1	5	5	5	4	4	5	5	4	4




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time10 seconds
R Server'Sir Maurice George Kendall' @ kendall.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 & 10 seconds \tabularnewline
R Server & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=216602&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]10 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=216602&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=216602&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 time10 seconds
R Server'Sir Maurice George Kendall' @ kendall.wessa.net







Summary of survey scores (median of Likert score was subtracted)
QuestionmeanSum ofpositives (Ps)Sum ofnegatives (Ns)(Ps-Ns)/(Ps+Ns)Count ofpositives (Pc)Count ofnegatives (Nc)(Pc-Nc)/(Pc+Nc)
10.45141410.55120390.51
20.68176260.74146240.72
30.58167380.63136340.6
40.47144390.57125360.55
50.76191220.79154200.77
60.74194300.73156250.72
70.7183280.73147280.68
80.98235180.86177150.84
9-0.116488-0.165873-0.11
100.83205200.82158200.78
11-0.3768151-0.3853109-0.35
120.91219170.86171150.84
131.15289340.79187290.73
140.5148380.59117350.54
150.2290420.3680380.36
16-0.5938170-0.6334130-0.59
170.41128380.54109360.5
180.53156380.61131320.61
190.52145300.66124290.62
20-0.1775113-0.26889-0.13

\begin{tabular}{lllllllll}
\hline
Summary of survey scores (median of Likert score was subtracted) \tabularnewline
Question & mean & Sum ofpositives (Ps) & Sum ofnegatives (Ns) & (Ps-Ns)/(Ps+Ns) & Count ofpositives (Pc) & Count ofnegatives (Nc) & (Pc-Nc)/(Pc+Nc) \tabularnewline
1 & 0.45 & 141 & 41 & 0.55 & 120 & 39 & 0.51 \tabularnewline
2 & 0.68 & 176 & 26 & 0.74 & 146 & 24 & 0.72 \tabularnewline
3 & 0.58 & 167 & 38 & 0.63 & 136 & 34 & 0.6 \tabularnewline
4 & 0.47 & 144 & 39 & 0.57 & 125 & 36 & 0.55 \tabularnewline
5 & 0.76 & 191 & 22 & 0.79 & 154 & 20 & 0.77 \tabularnewline
6 & 0.74 & 194 & 30 & 0.73 & 156 & 25 & 0.72 \tabularnewline
7 & 0.7 & 183 & 28 & 0.73 & 147 & 28 & 0.68 \tabularnewline
8 & 0.98 & 235 & 18 & 0.86 & 177 & 15 & 0.84 \tabularnewline
9 & -0.11 & 64 & 88 & -0.16 & 58 & 73 & -0.11 \tabularnewline
10 & 0.83 & 205 & 20 & 0.82 & 158 & 20 & 0.78 \tabularnewline
11 & -0.37 & 68 & 151 & -0.38 & 53 & 109 & -0.35 \tabularnewline
12 & 0.91 & 219 & 17 & 0.86 & 171 & 15 & 0.84 \tabularnewline
13 & 1.15 & 289 & 34 & 0.79 & 187 & 29 & 0.73 \tabularnewline
14 & 0.5 & 148 & 38 & 0.59 & 117 & 35 & 0.54 \tabularnewline
15 & 0.22 & 90 & 42 & 0.36 & 80 & 38 & 0.36 \tabularnewline
16 & -0.59 & 38 & 170 & -0.63 & 34 & 130 & -0.59 \tabularnewline
17 & 0.41 & 128 & 38 & 0.54 & 109 & 36 & 0.5 \tabularnewline
18 & 0.53 & 156 & 38 & 0.61 & 131 & 32 & 0.61 \tabularnewline
19 & 0.52 & 145 & 30 & 0.66 & 124 & 29 & 0.62 \tabularnewline
20 & -0.17 & 75 & 113 & -0.2 & 68 & 89 & -0.13 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=216602&T=1

[TABLE]
[ROW][C]Summary of survey scores (median of Likert score was subtracted)[/C][/ROW]
[ROW][C]Question[/C][C]mean[/C][C]Sum ofpositives (Ps)[/C][C]Sum ofnegatives (Ns)[/C][C](Ps-Ns)/(Ps+Ns)[/C][C]Count ofpositives (Pc)[/C][C]Count ofnegatives (Nc)[/C][C](Pc-Nc)/(Pc+Nc)[/C][/ROW]
[ROW][C]1[/C][C]0.45[/C][C]141[/C][C]41[/C][C]0.55[/C][C]120[/C][C]39[/C][C]0.51[/C][/ROW]
[ROW][C]2[/C][C]0.68[/C][C]176[/C][C]26[/C][C]0.74[/C][C]146[/C][C]24[/C][C]0.72[/C][/ROW]
[ROW][C]3[/C][C]0.58[/C][C]167[/C][C]38[/C][C]0.63[/C][C]136[/C][C]34[/C][C]0.6[/C][/ROW]
[ROW][C]4[/C][C]0.47[/C][C]144[/C][C]39[/C][C]0.57[/C][C]125[/C][C]36[/C][C]0.55[/C][/ROW]
[ROW][C]5[/C][C]0.76[/C][C]191[/C][C]22[/C][C]0.79[/C][C]154[/C][C]20[/C][C]0.77[/C][/ROW]
[ROW][C]6[/C][C]0.74[/C][C]194[/C][C]30[/C][C]0.73[/C][C]156[/C][C]25[/C][C]0.72[/C][/ROW]
[ROW][C]7[/C][C]0.7[/C][C]183[/C][C]28[/C][C]0.73[/C][C]147[/C][C]28[/C][C]0.68[/C][/ROW]
[ROW][C]8[/C][C]0.98[/C][C]235[/C][C]18[/C][C]0.86[/C][C]177[/C][C]15[/C][C]0.84[/C][/ROW]
[ROW][C]9[/C][C]-0.11[/C][C]64[/C][C]88[/C][C]-0.16[/C][C]58[/C][C]73[/C][C]-0.11[/C][/ROW]
[ROW][C]10[/C][C]0.83[/C][C]205[/C][C]20[/C][C]0.82[/C][C]158[/C][C]20[/C][C]0.78[/C][/ROW]
[ROW][C]11[/C][C]-0.37[/C][C]68[/C][C]151[/C][C]-0.38[/C][C]53[/C][C]109[/C][C]-0.35[/C][/ROW]
[ROW][C]12[/C][C]0.91[/C][C]219[/C][C]17[/C][C]0.86[/C][C]171[/C][C]15[/C][C]0.84[/C][/ROW]
[ROW][C]13[/C][C]1.15[/C][C]289[/C][C]34[/C][C]0.79[/C][C]187[/C][C]29[/C][C]0.73[/C][/ROW]
[ROW][C]14[/C][C]0.5[/C][C]148[/C][C]38[/C][C]0.59[/C][C]117[/C][C]35[/C][C]0.54[/C][/ROW]
[ROW][C]15[/C][C]0.22[/C][C]90[/C][C]42[/C][C]0.36[/C][C]80[/C][C]38[/C][C]0.36[/C][/ROW]
[ROW][C]16[/C][C]-0.59[/C][C]38[/C][C]170[/C][C]-0.63[/C][C]34[/C][C]130[/C][C]-0.59[/C][/ROW]
[ROW][C]17[/C][C]0.41[/C][C]128[/C][C]38[/C][C]0.54[/C][C]109[/C][C]36[/C][C]0.5[/C][/ROW]
[ROW][C]18[/C][C]0.53[/C][C]156[/C][C]38[/C][C]0.61[/C][C]131[/C][C]32[/C][C]0.61[/C][/ROW]
[ROW][C]19[/C][C]0.52[/C][C]145[/C][C]30[/C][C]0.66[/C][C]124[/C][C]29[/C][C]0.62[/C][/ROW]
[ROW][C]20[/C][C]-0.17[/C][C]75[/C][C]113[/C][C]-0.2[/C][C]68[/C][C]89[/C][C]-0.13[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=216602&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=216602&T=1

As an alternative you can also use a QR Code:  

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

Summary of survey scores (median of Likert score was subtracted)
QuestionmeanSum ofpositives (Ps)Sum ofnegatives (Ns)(Ps-Ns)/(Ps+Ns)Count ofpositives (Pc)Count ofnegatives (Nc)(Pc-Nc)/(Pc+Nc)
10.45141410.55120390.51
20.68176260.74146240.72
30.58167380.63136340.6
40.47144390.57125360.55
50.76191220.79154200.77
60.74194300.73156250.72
70.7183280.73147280.68
80.98235180.86177150.84
9-0.116488-0.165873-0.11
100.83205200.82158200.78
11-0.3768151-0.3853109-0.35
120.91219170.86171150.84
131.15289340.79187290.73
140.5148380.59117350.54
150.2290420.3680380.36
16-0.5938170-0.6334130-0.59
170.41128380.54109360.5
180.53156380.61131320.61
190.52145300.66124290.62
20-0.1775113-0.26889-0.13







Pearson correlations of survey scores (and p-values)
mean(Ps-Ns)/(Ps+Ns)(Pc-Nc)/(Pc+Nc)
mean1 (0)0.968 (0)0.968 (0)
(Ps-Ns)/(Ps+Ns)0.968 (0)1 (0)0.999 (0)
(Pc-Nc)/(Pc+Nc)0.968 (0)0.999 (0)1 (0)

\begin{tabular}{lllllllll}
\hline
Pearson correlations of survey scores (and p-values) \tabularnewline
 & mean & (Ps-Ns)/(Ps+Ns) & (Pc-Nc)/(Pc+Nc) \tabularnewline
mean & 1 (0) & 0.968 (0) & 0.968 (0) \tabularnewline
(Ps-Ns)/(Ps+Ns) & 0.968 (0) & 1 (0) & 0.999 (0) \tabularnewline
(Pc-Nc)/(Pc+Nc) & 0.968 (0) & 0.999 (0) & 1 (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=216602&T=2

[TABLE]
[ROW][C]Pearson correlations of survey scores (and p-values)[/C][/ROW]
[ROW][C][/C][C]mean[/C][C](Ps-Ns)/(Ps+Ns)[/C][C](Pc-Nc)/(Pc+Nc)[/C][/ROW]
[ROW][C]mean[/C][C]1 (0)[/C][C]0.968 (0)[/C][C]0.968 (0)[/C][/ROW]
[ROW][C](Ps-Ns)/(Ps+Ns)[/C][C]0.968 (0)[/C][C]1 (0)[/C][C]0.999 (0)[/C][/ROW]
[ROW][C](Pc-Nc)/(Pc+Nc)[/C][C]0.968 (0)[/C][C]0.999 (0)[/C][C]1 (0)[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=216602&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=216602&T=2

As an alternative you can also use a QR Code:  

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

Pearson correlations of survey scores (and p-values)
mean(Ps-Ns)/(Ps+Ns)(Pc-Nc)/(Pc+Nc)
mean1 (0)0.968 (0)0.968 (0)
(Ps-Ns)/(Ps+Ns)0.968 (0)1 (0)0.999 (0)
(Pc-Nc)/(Pc+Nc)0.968 (0)0.999 (0)1 (0)







Kendall tau rank correlations of survey scores (and p-values)
mean(Ps-Ns)/(Ps+Ns)(Pc-Nc)/(Pc+Nc)
mean1 (0)0.918 (0)0.899 (0)
(Ps-Ns)/(Ps+Ns)0.918 (0)1 (0)0.971 (0)
(Pc-Nc)/(Pc+Nc)0.899 (0)0.971 (0)1 (0)

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations of survey scores (and p-values) \tabularnewline
 & mean & (Ps-Ns)/(Ps+Ns) & (Pc-Nc)/(Pc+Nc) \tabularnewline
mean & 1 (0) & 0.918 (0) & 0.899 (0) \tabularnewline
(Ps-Ns)/(Ps+Ns) & 0.918 (0) & 1 (0) & 0.971 (0) \tabularnewline
(Pc-Nc)/(Pc+Nc) & 0.899 (0) & 0.971 (0) & 1 (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=216602&T=3

[TABLE]
[ROW][C]Kendall tau rank correlations of survey scores (and p-values)[/C][/ROW]
[ROW][C][/C][C]mean[/C][C](Ps-Ns)/(Ps+Ns)[/C][C](Pc-Nc)/(Pc+Nc)[/C][/ROW]
[ROW][C]mean[/C][C]1 (0)[/C][C]0.918 (0)[/C][C]0.899 (0)[/C][/ROW]
[ROW][C](Ps-Ns)/(Ps+Ns)[/C][C]0.918 (0)[/C][C]1 (0)[/C][C]0.971 (0)[/C][/ROW]
[ROW][C](Pc-Nc)/(Pc+Nc)[/C][C]0.899 (0)[/C][C]0.971 (0)[/C][C]1 (0)[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=216602&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=216602&T=3

As an alternative you can also use a QR Code:  

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

Kendall tau rank correlations of survey scores (and p-values)
mean(Ps-Ns)/(Ps+Ns)(Pc-Nc)/(Pc+Nc)
mean1 (0)0.918 (0)0.899 (0)
(Ps-Ns)/(Ps+Ns)0.918 (0)1 (0)0.971 (0)
(Pc-Nc)/(Pc+Nc)0.899 (0)0.971 (0)1 (0)



Parameters (Session):
par1 = 1 2 3 4 5 ;
Parameters (R input):
par1 = 1 2 3 4 5 ;
R code (references can be found in the software module):
docor <- function(x,y,method) {
r <- cor.test(x,y,method=method)
paste(round(r$estimate,3),' (',round(r$p.value,3),')',sep='')
}
x <- t(x)
nx <- length(x[,1])
cx <- length(x[1,])
mymedian <- median(as.numeric(strsplit(par1,' ')[[1]]))
myresult <- array(NA, dim = c(cx,7))
rownames(myresult) <- paste('Q',1:cx,sep='')
colnames(myresult) <- c('mean','Sum of
positives (Ps)','Sum of
negatives (Ns)', '(Ps-Ns)/(Ps+Ns)', 'Count of
positives (Pc)', 'Count of
negatives (Nc)', '(Pc-Nc)/(Pc+Nc)')
for (i in 1:cx) {
spos <- 0
sneg <- 0
cpos <- 0
cneg <- 0
for (j in 1:nx) {
if (!is.na(x[j,i])) {
myx <- as.numeric(x[j,i]) - mymedian
if (myx > 0) {
spos = spos + myx
cpos = cpos + 1
}
if (myx < 0) {
sneg = sneg + abs(myx)
cneg = cneg + 1
}
}
}
myresult[i,1] <- round(mean(as.numeric(x[,i]),na.rm=T)-mymedian,2)
myresult[i,2] <- spos
myresult[i,3] <- sneg
myresult[i,4] <- round((spos - sneg) / (spos + sneg),2)
myresult[i,5] <- cpos
myresult[i,6] <- cneg
myresult[i,7] <- round((cpos - cneg) / (cpos + cneg),2)
}
myresult
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Summary of survey scores (median of Likert score was subtracted)',8,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Question',header=TRUE)
for (i in 1:7) {
a<-table.element(a,colnames(myresult)[i],header=TRUE)
}
a<-table.row.end(a)
for (i in 1:cx) {
a<-table.row.start(a)
a<-table.element(a,i,header=TRUE)
for (j in 1:7) {
a<-table.element(a,myresult[i,j],align='right')
}
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,'Pearson correlations of survey scores (and p-values)',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'',header=TRUE)
a<-table.element(a,'mean',header=TRUE)
a<-table.element(a,'(Ps-Ns)/(Ps+Ns)',header=TRUE)
a<-table.element(a,'(Pc-Nc)/(Pc+Nc)',header=TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'mean',header=TRUE)
a<-table.element(a,docor(myresult[,1],myresult[,1],method='pearson'),align='right')
a<-table.element(a,docor(myresult[,1],myresult[,4],method='pearson'),align='right')
a<-table.element(a,docor(myresult[,1],myresult[,7],method='pearson'),align='right')
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'(Ps-Ns)/(Ps+Ns)',header=TRUE)
a<-table.element(a,docor(myresult[,4],myresult[,1],method='pearson'),align='right')
a<-table.element(a,docor(myresult[,4],myresult[,4],method='pearson'),align='right')
a<-table.element(a,docor(myresult[,4],myresult[,7],method='pearson'),align='right')
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'(Pc-Nc)/(Pc+Nc)',header=TRUE)
a<-table.element(a,docor(myresult[,7],myresult[,1],method='pearson'),align='right')
a<-table.element(a,docor(myresult[,7],myresult[,4],method='pearson'),align='right')
a<-table.element(a,docor(myresult[,7],myresult[,7],method='pearson'),align='right')
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable1.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Kendall tau rank correlations of survey scores (and p-values)',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'',header=TRUE)
a<-table.element(a,'mean',header=TRUE)
a<-table.element(a,'(Ps-Ns)/(Ps+Ns)',header=TRUE)
a<-table.element(a,'(Pc-Nc)/(Pc+Nc)',header=TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'mean',header=TRUE)
a<-table.element(a,docor(myresult[,1],myresult[,1],method='kendall'),align='right')
a<-table.element(a,docor(myresult[,1],myresult[,4],method='kendall'),align='right')
a<-table.element(a,docor(myresult[,1],myresult[,7],method='kendall'),align='right')
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'(Ps-Ns)/(Ps+Ns)',header=TRUE)
a<-table.element(a,docor(myresult[,4],myresult[,1],method='kendall'),align='right')
a<-table.element(a,docor(myresult[,4],myresult[,4],method='kendall'),align='right')
a<-table.element(a,docor(myresult[,4],myresult[,7],method='kendall'),align='right')
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'(Pc-Nc)/(Pc+Nc)',header=TRUE)
a<-table.element(a,docor(myresult[,7],myresult[,1],method='kendall'),align='right')
a<-table.element(a,docor(myresult[,7],myresult[,4],method='kendall'),align='right')
a<-table.element(a,docor(myresult[,7],myresult[,7],method='kendall'),align='right')
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable2.tab')