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Author

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R Software Module

rwasp_surveyscores.wasp

Title produced by software

Survey Scores

Date of computation

Sat, 13 Dec 2014 22:49:47 +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/2014/Dec/13/t141851109187x10651n8pk461.htm/, Retrieved Thu, 16 May 2024 09:36:35 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=267312, Retrieved Thu, 16 May 2024 09:36:35 +0000

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IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

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

-     [Survey Scores] [Intrinsic Motivat...] [2010-10-12 11:18:40] [b98453cac15ba1066b407e146608df68]
- R PD  [Survey Scores] [] [2011-10-18 12:18:26] [b98453cac15ba1066b407e146608df68]
- RMPD      [Survey Scores] [Kendall Tau Corre...] [2014-12-13 22:49:47] [8188a2bb20af439749c29996b06d1031] [Current]
- RMP         [Cronbach Alpha] [] [2014-12-15 18:32:19] [eee95947b6243a1febfcd5f41483d733] 

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Dataseries X:

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Histogram

Boxplots

5	5	5	6	5	2
4	7	5	5	6	5
4	5	4	5	6	2
5	6	7	6	5	6
5	5	4	5	5	2
5	7	5	5	7	5
6	7	6	6	7	5
4	3	5	6	5	2
7	7	7	7	7	7
1	6	4	1	5	1
5	5	6	6	5	5
4	7	7	5	6	4
6	5	7	7	7	6
5	7	7	6	7	6
5	7	5	6	7	6
6	6	6	6	6	6
5	6	6	6	6	5
5	7	6	6	7	4
5	4	5	6	6	4
7	7	7	7	7	7
7	7	6	7	7	2
5	6	7	7	5	4
7	6	6	7	6	5
6	7	6	6	6	4
4	6	6	6	6	6
5	5	5	7	5	6
6	7	6	6	4	4
5	6	6	5	5	3
5	4	6	7	6	6
7	7	7	6	6	6
5	6	7	6	6	4
3	6	6	6	5	3
5	7	6	7	7	4
6	7	6	7	6	1
6	6	7	6	5	5
2	6	6	7	7	2
6	7	7	7	7	5
5	5	6	5	6	6
4	4	6	5	7	3
5	5	7	7	7	7
5	5	5	4	5	1
5	3	5	5	6	2
6	7	5	5	7	4
6	6	7	6	7	6
6	5	4	6	7	4
4	4	7	6	6	3
3	5	6	7	5	3
5	7	7	6	7	2
6	5	6	6	6	7
6	5	7	6	5	5
5	6	7	6	6	6
4	6	5	6	4	5
6	6	1	6	6	2
6	7	6	7	7	2
4	5	5	7	6	5
6	4	6	7	5	6
6	6	6	7	6	6
5	6	5	5	5	5
5	7	7	6	5	1
5	6	6	5	6	3
2	4	7	7	5	6
3	6	5	7	7	7
5	5	7	7	6	5
6	5	7	6	5	2
6	5	5	6	5	3
7	6	5	5	6	4
5	7	7	7	7	5
4	6	6	4	5	3
5	6	6	4	7	2
4	6	6	6	7	3
3	6	5	6	5	4
3	6	6	6	7	5
3	5	5	5	6	6
3	5	5	4	6	3
6	7	7	7	7	5
5	6	4	7	6	3
6	5	5	6	5	3
4	6	7	5	6	5
4	7	6	5	6	4
6	7	5	6	5	6
7	6	6	7	6	4
7	6	7	7	6	5
6	7	6	6	6	5
7	6	5	6	7	5
5	3	5	5	3	5
4	5	6	6	6	5
5	7	5	5	6	3
7	6	7	7	7	6
6	6	6	5	6	6
7	7	7	7	6	5
5	6	5	5	6	5
6	6	6	6	7	5
5	6	6	5	7	4
5	4	6	6	6	5
5	6	6	6	6	3
5	6	6	6	6	6
5	6	6	5	5	6
5	7	5	6	7	5
5	7	5	6	6	4
7	7	7	7	4	4
5	7	6	6	6	5
6	7	6	6	7	6
6	7	4	7	7	1
6	7	5	7	7	1
6	5	7	5	5	5
2	4	5	7	7	2
5	5	3	5	5	3
7	7	5	7	6	6
5	6	4	7	6	5
5	3	6	5	7	1
6	6	6	6	6	5
4	6	6	6	6	6
3	5	4	4	5	2
7	7	1	7	7	2
4	3	6	6	6	5
5	6	6	6	6	5
6	6	3	4	7	2
6	4	3	5	4	5
6	6	4	5	6	1
4	7	6	5	7	2
5	6	7	6	6	5
6	3	7	7	4	4
5	6	4	5	5	3
5	7	6	7	7	6
6	6	4	6	6	4
1	7	7	7	7	4
7	5	3	7	4	2
7	7	6	7	7	1
5	7	7	6	7	4
3	4	6	6	5	6
4	6	6	5	4	5
5	6	6	5	6	5
5	7	7	7	7	2
6	6	6	4	6	5
7	4	3	7	5	4
5	6	6	5	7	6
6	6	5	5	5	3
5	6	6	6	6	6
6	4	6	7	6	6
2	5	5	4	4	2
4	3	5	5	4	3
5	6	4	7	6	5
3	6	7	5	7	6
6	6	7	7	6	6
5	7	6	6	6	6
4	6	5	4	5	2
1	5	7	5	5	1
4	3	5	5	5	6
4	6	6	6	3	5
5	7	3	6	6	2
7	7	7	7	7	4
2	7	6	6	6	3
3	5	7	7	5	4
4	6	4	7	4	4
7	7	2	7	7	2
5	5	6	5	6	2
4	6	5	4	7	4
6	4	6	7	5	6
5	6	4	5	5	2
6	5	6	6	7	3
6	6	5	5	6	3
6	7	5	7	7	4
5	7	5	6	6	1
2	4	6	5	5	6
3	4	7	3	4	2
5	6	6	6	6	6
7	6	5	7	6	6
6	5	7	6	4	6
5	6	3	6	7	4
6	5	6	6	6	4
6	6	7	7	5	5
5	6	5	6	7	3
4	6	6	6	6	5
2	5	6	5	6	3
3	5	6	5	5	4
6	4	5	7	7	6
4	4	5	4	5	4
6	2	6	7	6	5
6	6	6	7	6	3
6	7	7	5	6	5
7	6	5	4	6	2
4	6	6	5	6	2
7	3	6	7	4	7
7	6	6	7	6	5
4	4	6	5	6	5
5	6	7	6	6	3
5	6	7	6	6	4
5	6	7	7	6	3
5	6	7	6	6	3
5	7	5	7	7	5
6	6	5	6	3	5
6	6	7	6	7	6
7	6	2	6	7	3
4	6	6	6	4	6
7	7	4	6	7	1
5	4	4	6	6	1
5	4	7	6	6	6
1	6	6	5	5	4
5	6	3	7	7	3
5	7	6	5	6	5
2	1	1	2	1	3
4	6	5	4	4	4
4	6	6	7	7	6
6	6	6	7	6	5
7	7	6	7	7	6
4	7	7	7	7	2
7	7	7	6	7	2
2	3	5	3	2	5
4	7	7	6	7	6
7	7	7	7	6	5
7	6	6	6	6	3
5	3	6	6	6	5
5	6	7	6	6	6
7	7	7	7	7	7
5	6	6	7	7	7
6	4	3	6	5	2
5	5	3	6	4	5
3	7	7	7	7	6
5	5	5	7	5	5
3	5	7	6	6	5
5	7	7	7	7	6
6	7	6	7	7	6
5	5	5	5	5	6
5	7	7	5	6	7
4	6	6	7	7	5
4	5	6	6	5	6
4	6	5	5	7	4
5	6	6	6	7	5
6	6	6	7	6	6
5	6	6	6	6	3
6	5	6	7	6	3
5	6	6	5	5	4
5	7	7	6	7	7
5	7	5	7	6	6
2	5	6	6	6	7
5	6	5	5	6	5
5	7	7	6	6	6
6	7	7	7	5	7
1	4	2	3	3	2
4	6	6	6	7	6
5	5	5	5	5	7
7	7	7	7	7	7
6	6	4	6	5	5
2	4	7	2	5	4
6	5	3	6	7	1
7	7	6	7	7	4
3	7	3	7	6	3
6	6	4	6	6	4
5	7	6	5	7	3
5	6	7	6	5	5
6	7	7	7	6	6
5	6	6	7	5	6
6	5	5	6	7	3
6	5	5	6	2	4
5	5	5	6	6	6
6	5	6	6	5	4
6	6	6	6	7	6
7	7	7	5	7	7
4	7	6	6	5	5
4	6	5	6	4	3
5	4	5	3	4	3
6	7	6	6	7	6
5	5	3	5	5	2
6	5	5	6	6	5
5	7	4	6	6	4
5	6	5	6	6	3
6	6	3	5	6	3
7	7	7	7	7	7
5	6	7	6	5	4
6	6	6	7	6	4
6	7	5	7	7	5
7	4	7	6	7	7
4	6	6	6	6	6
5	6	7	6	6	4
6	4	6	5	6	5
5	4	4	5	6	4
5	7	6	6	7	6
5	6	6	6	5	5

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 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=267312&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=267312&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=267312&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	1 seconds
R Server	'Sir Ronald Aylmer Fisher' @ fisher.wessa.net

Summary of survey scores (median of Likert score was subtracted)
Question	mean	Sum ofpositives (Ps)	Sum ofnegatives (Ns)	(Ps-Ns)/(Ps+Ns)	Count ofpositives (Pc)	Count ofnegatives (Nc)	(Pc-Nc)/(Pc+Nc)
1	1.56	471	37	0.85	246	32	0.77
2	2.26	638.5	9.5	0.97	265	13	0.91
3	2.14	614	19	0.94	258	20	0.86
4	2.41	676.5	7.5	0.98	271	7	0.95
5	2.37	667.5	7.5	0.98	271	7	0.95
6	0.83	336.5	104.5	0.53	191	87	0.37

\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 & 1.56 & 471 & 37 & 0.85 & 246 & 32 & 0.77 \tabularnewline
2 & 2.26 & 638.5 & 9.5 & 0.97 & 265 & 13 & 0.91 \tabularnewline
3 & 2.14 & 614 & 19 & 0.94 & 258 & 20 & 0.86 \tabularnewline
4 & 2.41 & 676.5 & 7.5 & 0.98 & 271 & 7 & 0.95 \tabularnewline
5 & 2.37 & 667.5 & 7.5 & 0.98 & 271 & 7 & 0.95 \tabularnewline
6 & 0.83 & 336.5 & 104.5 & 0.53 & 191 & 87 & 0.37 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=267312&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]1.56[/C][C]471[/C][C]37[/C][C]0.85[/C][C]246[/C][C]32[/C][C]0.77[/C][/ROW]
[ROW][C]2[/C][C]2.26[/C][C]638.5[/C][C]9.5[/C][C]0.97[/C][C]265[/C][C]13[/C][C]0.91[/C][/ROW]
[ROW][C]3[/C][C]2.14[/C][C]614[/C][C]19[/C][C]0.94[/C][C]258[/C][C]20[/C][C]0.86[/C][/ROW]
[ROW][C]4[/C][C]2.41[/C][C]676.5[/C][C]7.5[/C][C]0.98[/C][C]271[/C][C]7[/C][C]0.95[/C][/ROW]
[ROW][C]5[/C][C]2.37[/C][C]667.5[/C][C]7.5[/C][C]0.98[/C][C]271[/C][C]7[/C][C]0.95[/C][/ROW]
[ROW][C]6[/C][C]0.83[/C][C]336.5[/C][C]104.5[/C][C]0.53[/C][C]191[/C][C]87[/C][C]0.37[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=267312&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=267312&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)
Question	mean	Sum ofpositives (Ps)	Sum ofnegatives (Ns)	(Ps-Ns)/(Ps+Ns)	Count ofpositives (Pc)	Count ofnegatives (Nc)	(Pc-Nc)/(Pc+Nc)
1	1.56	471	37	0.85	246	32	0.77
2	2.26	638.5	9.5	0.97	265	13	0.91
3	2.14	614	19	0.94	258	20	0.86
4	2.41	676.5	7.5	0.98	271	7	0.95
5	2.37	667.5	7.5	0.98	271	7	0.95
6	0.83	336.5	104.5	0.53	191	87	0.37

Pearson correlations of survey scores (and p-values)
	mean	(Ps-Ns)/(Ps+Ns)	(Pc-Nc)/(Pc+Nc)
mean	1 (0)	0.971 (0.001)	0.974 (0.001)
(Ps-Ns)/(Ps+Ns)	0.971 (0.001)	1 (0)	0.998 (0)
(Pc-Nc)/(Pc+Nc)	0.974 (0.001)	0.998 (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) & 0.971 (0.001) & 0.974 (0.001) \tabularnewline
(Ps-Ns)/(Ps+Ns) & 0.971 (0.001) & 1 (0) & 0.998 (0) \tabularnewline
(Pc-Nc)/(Pc+Nc) & 0.974 (0.001) & 0.998 (0) & 1 (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=267312&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]0.971 (0.001)[/C][C]0.974 (0.001)[/C][/ROW]
[ROW][C](Ps-Ns)/(Ps+Ns)[/C][C]0.971 (0.001)[/C][C]1 (0)[/C][C]0.998 (0)[/C][/ROW]
[ROW][C](Pc-Nc)/(Pc+Nc)[/C][C]0.974 (0.001)[/C][C]0.998 (0)[/C][C]1 (0)[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=267312&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=267312&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)
mean	1 (0)	0.971 (0.001)	0.974 (0.001)
(Ps-Ns)/(Ps+Ns)	0.971 (0.001)	1 (0)	0.998 (0)
(Pc-Nc)/(Pc+Nc)	0.974 (0.001)	0.998 (0)	1 (0)

Kendall tau rank correlations of survey scores (and p-values)
	mean	(Ps-Ns)/(Ps+Ns)	(Pc-Nc)/(Pc+Nc)
mean	1 (0.003)	0.966 (0.007)	0.966 (0.007)
(Ps-Ns)/(Ps+Ns)	0.966 (0.007)	1 (0.006)	1 (0.006)
(Pc-Nc)/(Pc+Nc)	0.966 (0.007)	1 (0.006)	1 (0.006)

\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 (0.003) & 0.966 (0.007) & 0.966 (0.007) \tabularnewline
(Ps-Ns)/(Ps+Ns) & 0.966 (0.007) & 1 (0.006) & 1 (0.006) \tabularnewline
(Pc-Nc)/(Pc+Nc) & 0.966 (0.007) & 1 (0.006) & 1 (0.006) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=267312&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 (0.003)[/C][C]0.966 (0.007)[/C][C]0.966 (0.007)[/C][/ROW]
[ROW][C](Ps-Ns)/(Ps+Ns)[/C][C]0.966 (0.007)[/C][C]1 (0.006)[/C][C]1 (0.006)[/C][/ROW]
[ROW][C](Pc-Nc)/(Pc+Nc)[/C][C]0.966 (0.007)[/C][C]1 (0.006)[/C][C]1 (0.006)[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=267312&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=267312&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)
mean	1 (0.003)	0.966 (0.007)	0.966 (0.007)
(Ps-Ns)/(Ps+Ns)	0.966 (0.007)	1 (0.006)	1 (0.006)
(Pc-Nc)/(Pc+Nc)	0.966 (0.007)	1 (0.006)	1 (0.006)

Parameters (Session):

par1 = 1 2 3 4 5 6 7 8 9 10 11 12 ;

Parameters (R input):

par1 = 1 2 3 4 5 6 ;

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')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code