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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_surveyscores.wasp
Title produced by softwareSurvey Scores
Date of computationTue, 12 Oct 2010 11:28:29 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Oct/12/t1286882880j7qirqkdht653e0.htm/, Retrieved Tue, 30 Apr 2024 15:26:22 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=82854, Retrieved Tue, 30 Apr 2024 15:26:22 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact844

Tree of Dependent Computations

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 11:28:29] [d76b387543b13b5e3afd8ff9e5fdc89f] [Current]
-   PD    [Survey Scores] [Scores EM- Extern...] [2010-10-15 08:32:21] [56d90b683fcd93137645f9226b43c62b]
-   PD    [Survey Scores] [Extrinsic Motivat...] [2010-10-15 08:41:39] [aeb27d5c05332f2e597ad139ee63fbe4]
-   PD    [Survey Scores] [Workshop 3 - Task 1] [2010-10-15 09:32:32] [8b017ffbf7b0eded54d8efebfb3e4cfa]
-   PD    [Survey Scores] [Workshop 1 - Task...] [2010-10-15 10:17:08] [8b017ffbf7b0eded54d8efebfb3e4cfa]
-   PD    [Survey Scores] [Workshop 3 - Task...] [2010-10-15 10:52:01] [8b017ffbf7b0eded54d8efebfb3e4cfa]
-   PD    [Survey Scores] [Workshop 3 - Task...] [2010-10-15 10:52:01] [8b017ffbf7b0eded54d8efebfb3e4cfa]
-   PD    [Survey Scores] [Workshop 3 - Task...] [2010-10-15 10:54:39] [8b017ffbf7b0eded54d8efebfb3e4cfa]
-   PD    [Survey Scores] [Workshop 3 - Task...] [2010-10-15 10:57:08] [8b017ffbf7b0eded54d8efebfb3e4cfa]
-   PD    [Survey Scores] [Workshop 3 - Task...] [2010-10-15 11:00:13] [8b017ffbf7b0eded54d8efebfb3e4cfa]
-   PD    [Survey Scores] [Vraag 1 Extrinsic...] [2010-10-15 11:03:51] [97ad38b1c3b35a5feca8b85f7bc7b3ff]
-   PD    [Survey Scores] [Extr. 3] [2010-10-15 11:38:40] [c289bfbb56808c5d93a0f55b5d39f5bd]
- RMPD    [Cronbach Alpha] [Workshop 3 - Task...] [2010-10-15 12:05:22] [8b017ffbf7b0eded54d8efebfb3e4cfa]
-   PD    [Survey Scores] [Extrinsic motivat...] [2010-10-15 12:24:09] [ec7b4b7cc1a30b20be5ec01cdf2adbbd]
-   PD    [Survey Scores] [Extrinsic motivat...] [2010-10-15 12:28:30] [ec7b4b7cc1a30b20be5ec01cdf2adbbd]
-   PD    [Survey Scores] [Extrinsic motivat...] [2010-10-15 12:31:58] [ec7b4b7cc1a30b20be5ec01cdf2adbbd]
-    D      [Survey Scores] [Extrinsic motivat...] [2010-10-19 20:00:08] [74be16979710d4c4e7c6647856088456]
-    D      [Survey Scores] [Extrinsic motivat...] [2010-10-19 20:01:43] [74be16979710d4c4e7c6647856088456]
-   PD    [Survey Scores] [] [2010-10-15 15:08:10] [39e83c7b0ac936e906a817a1bb402750]
-    D      [Survey Scores] [] [2010-10-15 15:13:04] [39e83c7b0ac936e906a817a1bb402750]
-    D        [Survey Scores] [] [2010-10-15 15:14:57] [39e83c7b0ac936e906a817a1bb402750]
F   PD    [Survey Scores] [WS3 - task 1 Extr...] [2010-10-16 08:32:14] [8ef49741e164ec6343c90c7935194465]
-    D      [Survey Scores] [WS3 - task 1 - E...] [2010-10-16 08:38:15] [8ef49741e164ec6343c90c7935194465]
-    D        [Survey Scores] [WS3 - task 1 - Ex...] [2010-10-16 08:53:54] [8ef49741e164ec6343c90c7935194465]
-   PD    [Survey Scores] [Extrinsic motivat...] [2010-10-16 09:10:52] [033eb2749a430605d9b2be7c4aac4a0c]
-           [Survey Scores] [Extrinsic: Extern...] [2010-10-19 13:54:39] [6501d0caa85bd8c4ed4905f18a69a94d]
-   PD    [Survey Scores] [WS3 task 1 c] [2010-10-16 10:51:58] [1fd136673b2a4fecb5c545b9b4a05d64]
- R         [Survey Scores] [] [2011-10-18 10:56:03] [74be16979710d4c4e7c6647856088456]
-   PD    [Survey Scores] [Extrinsic: identi...] [2010-10-16 12:32:47] [74be16979710d4c4e7c6647856088456]
-           [Survey Scores] [opdracht 3 task 1...] [2010-10-17 10:59:43] [65eb19f81eab2b6e672eafaed2a27190]
-   PD    [Survey Scores] [Extrinsic: Introj...] [2010-10-16 12:36:47] [74be16979710d4c4e7c6647856088456]
-           [Survey Scores] [opdracht 3 taak 1...] [2010-10-17 11:01:38] [65eb19f81eab2b6e672eafaed2a27190]
-   PD    [Survey Scores] [Extrinsic: extern...] [2010-10-16 12:38:31] [74be16979710d4c4e7c6647856088456]
-           [Survey Scores] [opdracht 3 taak 1...] [2010-10-17 11:03:25] [65eb19f81eab2b6e672eafaed2a27190]
-   PD    [Survey Scores] [Extrinsic 3 - Ex...] [2010-10-16 14:17:24] [48146708a479232c43a8f6e52fbf83b4]
F   PD    [Survey Scores] [extr.3] [2010-10-17 08:29:08] [c1605865773cc027e55b238d879a644c]
-   PD    [Survey Scores] [] [2010-10-17 13:10:29] [22937c5b58c14f6c22964f32d64ff823]
-   PD    [Survey Scores] [Task 1: Extrinsic...] [2010-10-17 13:52:45] [6ca0fc48dd5333d51a15728999009c83]
-           [Survey Scores] [ws3.1.1 external] [2010-10-19 11:29:24] [e4076051fbfb461c886b1e223cd7862f]
-             [Survey Scores] [] [2010-10-19 18:52:08] [76e72a1b37cce9a27058d2e4927e5bf5]
-    D        [Survey Scores] [WS3 oef 1] [2010-10-19 20:55:14] [5278e0a58c5de897b31ce79607e774d7]
-    D        [Survey Scores] [] [2010-10-19 23:14:21] [93b680a2d8d992e1eb89148dafc4c61c]
-   PD    [Survey Scores] [extrinsic motivat...] [2010-10-17 13:59:10] [95e8426e0df851c9330605aa1e892ab5]
-   PD    [Survey Scores] [WS3 - Extrinsic 3] [2010-10-17 15:09:06] [b11c112f8986de933f8b95cd30e75cc2]
-   PD    [Survey Scores] [Extrinsic motivat...] [2010-10-17 17:31:22] [3cdf9c5e1f396891d2638627ccb7b98d]
-   PD    [Survey Scores] [Extr. 3 external ...] [2010-10-17 18:10:51] [49c7a512c56172bc46ae7e93e5b58c1c]
-   PD    [Survey Scores] [] [2010-10-17 18:13:23] [22937c5b58c14f6c22964f32d64ff823]
-   PD    [Survey Scores] [Extrinsic motivat...] [2010-10-18 08:58:09] [26379b86c25fbf0febe6a7a428e65173]
-   PD    [Survey Scores] [Extrinsic Motivat...] [2010-10-18 09:19:47] [04d4386fa51dbd2ef12d0f1f80644886]

[Truncated]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
6	6	4	5
4	4	3	4
6	2	5	5
4	2	2	3
2	2	2	2
5	5	5	4
1	1	1	1
6	4	5	5
3	5	4	4
4	4	3	3
3	1	1	5
2	2	5	4
4	4	3	3
3	2	2	1
5	6	6	6
3	3	3	2
3	2	2	2
6	6	6	6
1	2	1	1
1	6	4	4
1	1	1	2
5	4	5	5
2	1	1	2
3	4	3	3
3	2	2	4
5	5	6	1
5	5	6	1
1	1	1	2
2	1	2	4
3	4	4	4
5	4	4	4
3	5	4	5
5	5	4	6
3	3	3	3
2	1	1	3
4	5	3	4
3	2	1	1
3	3	3	5
6	6	6	6
6	4	3	2
3	4	4	4
3	2	2	3
4	3	3	4
4	5	4	5
2	5	3	2
2	2	2	3
3	2	2	2
2	1	1	4
5	4	4	5
5	1	2	2
6	4	3	4
3	4	4	3
3	5	4	4
2	4	2	2
5	5	4	5
2	2	2	4
4	3	3	4
4	2	2	2
1	1	1	1
6	5	4	4
2	2	1	4
3	3	3	3
4	4	4	4
3	2	1	5
4	5	4	5
3	2	1	5
6	6	6	6
4	5	4	4
5	4	4	5
3	2	2	2
4	4	5	6
3	5	5	5
3	4	3	2
6	6	5	6
6	6	5	5
2	4	4	4
2	4	4	4
6	3	3	4
5	6	5	7
1	2	3	1
2	2	4	2
5	2	2	3
3	3	3	3
3	2	3	4
4	4	5	4
6	5	5	5
4	4	4	4
2	3	3	3
4	4	4	2
4	3	3	3
2	2	2	3
4	5	5	5
3	3	3	4
6	5	4	4
4	3	3	3
4	3	3	3
3	4	2	4
3	3	4	4
3	3	3	3
4	6	6	6
2	3	3	3
2	1	1	1
3	5	5	5
3	6	5	5
4	4	3	3
4	4	3	4
2	5	3	2
5	4	4	6
5	4	1	5
4	3	5	5
4	1	2	1
3	2	3	2
4	3	2	3
4	2	3	3
5	5	5	5
4	2	3	3
5	2	2	3
3	4	3	4
2	2	1	1
1	3	3	3
5	4	5	4
5	3	4	6
3	1	1	2
4	5	4	5
4	1	1	3
5	4	4	4
5	5	6	6
3	3	3	2
4	4	3	4
6	3	3	5
4	3	4	4
5	6	6	5
4	2	1	2
4	4	2	3
5	5	4	6
4	4	3	3
3	4	2	5
3	3	2	4
6	4	5	5
5	5	5	5
2	3	2	1
4	5	4	4
3	2	2	2
3	6	4	5
5	6	4	7
3	2	2	3
3	3	3	4
4	4	3	4
5	4	4	5
5	4	5	4
5	4	2	1
5	3	2	2
3	7	5	5
4	4	2	2
4	4	4	4
3	4	4	5
4	4	4	6
4	4	4	4
3	3	3	4
2	5	4	6
4	3	2	4
4	5	4	4

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 2 seconds \tabularnewline
R Server & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=82854&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=82854&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=82854&T=0

As an alternative you can also use a QR Code:  
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 time2 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk






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)
1-0.3161112-0.294574-0.24
2-0.4659133-0.394374-0.26
3-0.7340158-0.63190-0.49
4-0.367116-0.274966-0.15

\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 & -0.31 & 61 & 112 & -0.29 & 45 & 74 & -0.24 \tabularnewline
2 & -0.46 & 59 & 133 & -0.39 & 43 & 74 & -0.26 \tabularnewline
3 & -0.73 & 40 & 158 & -0.6 & 31 & 90 & -0.49 \tabularnewline
4 & -0.3 & 67 & 116 & -0.27 & 49 & 66 & -0.15 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=82854&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]-0.31[/C][C]61[/C][C]112[/C][C]-0.29[/C][C]45[/C][C]74[/C][C]-0.24[/C][/ROW]
[ROW][C]2[/C][C]-0.46[/C][C]59[/C][C]133[/C][C]-0.39[/C][C]43[/C][C]74[/C][C]-0.26[/C][/ROW]
[ROW][C]3[/C][C]-0.73[/C][C]40[/C][C]158[/C][C]-0.6[/C][C]31[/C][C]90[/C][C]-0.49[/C][/ROW]
[ROW][C]4[/C][C]-0.3[/C][C]67[/C][C]116[/C][C]-0.27[/C][C]49[/C][C]66[/C][C]-0.15[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=82854&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=82854&T=1

As an alternative you can also use a QR Code:  
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)
1-0.3161112-0.294574-0.24
2-0.4659133-0.394374-0.26
3-0.7340158-0.63190-0.49
4-0.367116-0.274966-0.15






Pearson correlations of survey scores (and p-values)
mean(Ps-Ns)/(Ps+Ns)(Pc-Nc)/(Pc+Nc)
mean1 (0)0.999 (0.001)0.961 (0.039)
(Ps-Ns)/(Ps+Ns)0.999 (0.001)1 (0)0.971 (0.029)
(Pc-Nc)/(Pc+Nc)0.961 (0.039)0.971 (0.029)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) & 0.999 (0.001) & 0.961 (0.039) \tabularnewline
(Ps-Ns)/(Ps+Ns) & 0.999 (0.001) & 1 (0) & 0.971 (0.029) \tabularnewline
(Pc-Nc)/(Pc+Nc) & 0.961 (0.039) & 0.971 (0.029) & 1 (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=82854&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]0.999 (0.001)[/C][C]0.961 (0.039)[/C][/ROW]
[ROW][C](Ps-Ns)/(Ps+Ns)[/C][C]0.999 (0.001)[/C][C]1 (0)[/C][C]0.971 (0.029)[/C][/ROW]
[ROW][C](Pc-Nc)/(Pc+Nc)[/C][C]0.961 (0.039)[/C][C]0.971 (0.029)[/C][C]1 (0)[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=82854&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=82854&T=2

As an alternative you can also use a QR Code:  
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)0.999 (0.001)0.961 (0.039)
(Ps-Ns)/(Ps+Ns)0.999 (0.001)1 (0)0.971 (0.029)
(Pc-Nc)/(Pc+Nc)0.961 (0.039)0.971 (0.029)1 (0)






Kendall tau rank correlations of survey scores (and p-values)
mean(Ps-Ns)/(Ps+Ns)(Pc-Nc)/(Pc+Nc)
mean1 (0.083)1 (0.083)1 (0.083)
(Ps-Ns)/(Ps+Ns)1 (0.083)1 (0.083)1 (0.083)
(Pc-Nc)/(Pc+Nc)1 (0.083)1 (0.083)1 (0.083)

\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 (0.083) & 1 (0.083) & 1 (0.083) \tabularnewline
(Ps-Ns)/(Ps+Ns) & 1 (0.083) & 1 (0.083) & 1 (0.083) \tabularnewline
(Pc-Nc)/(Pc+Nc) & 1 (0.083) & 1 (0.083) & 1 (0.083) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=82854&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 (0.083)[/C][C]1 (0.083)[/C][C]1 (0.083)[/C][/ROW]
[ROW][C](Ps-Ns)/(Ps+Ns)[/C][C]1 (0.083)[/C][C]1 (0.083)[/C][C]1 (0.083)[/C][/ROW]
[ROW][C](Pc-Nc)/(Pc+Nc)[/C][C]1 (0.083)[/C][C]1 (0.083)[/C][C]1 (0.083)[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=82854&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=82854&T=3

As an alternative you can also use a QR Code:  
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 (0.083)1 (0.083)1 (0.083)
(Ps-Ns)/(Ps+Ns)1 (0.083)1 (0.083)1 (0.083)
(Pc-Nc)/(Pc+Nc)1 (0.083)1 (0.083)1 (0.083)


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
Parameters (R input):
par1 = 1 2 3 4 5 6 7 ;
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')