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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 11:23:25 +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/t1286882577xb2s2nfbeywc3y3.htm/, Retrieved Sun, 28 Apr 2024 12:52:31 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=82851, Retrieved Sun, 28 Apr 2024 12:52:31 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact230

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 11:23:25] [d76b387543b13b5e3afd8ff9e5fdc89f] [Current]
-   PD    [Survey Scores] [Scores EM- Introj...] [2010-10-15 08:28:04] [56d90b683fcd93137645f9226b43c62b]
-   PD    [Survey Scores] [Extrinsic Motivat...] [2010-10-15 08:36:38] [aeb27d5c05332f2e597ad139ee63fbe4]
-   PD    [Survey Scores] [Workshop 1 - Task...] [2010-10-15 10:19:20] [8b017ffbf7b0eded54d8efebfb3e4cfa]
- RM D      [Cronbach Alpha] [Workshop 3 - Task...] [2010-10-15 12:07:17] [8b017ffbf7b0eded54d8efebfb3e4cfa]
-   PD    [Survey Scores] [Question 2 Extrin...] [2010-10-15 10:59:29] [97ad38b1c3b35a5feca8b85f7bc7b3ff]
- RMPD    [Cronbach Alpha] [Workshop 3 - inte...] [2010-10-15 11:00:58] [6f0e7a2d1a07390e3505a2db8288f975]
-   PD    [Survey Scores] [Workshop 3 - Extr...] [2010-10-15 11:09:36] [6f0e7a2d1a07390e3505a2db8288f975]
-    D      [Survey Scores] [Workshop 3 - Extr...] [2010-10-15 11:42:29] [6f0e7a2d1a07390e3505a2db8288f975]
- RM D      [Cronbach Alpha] [Workshop 3 - inte...] [2010-10-15 12:01:31] [6f0e7a2d1a07390e3505a2db8288f975]
- RM D        [Notched Boxplots] [Workshop 3 - task 4] [2010-10-15 13:08:41] [6f0e7a2d1a07390e3505a2db8288f975]
F   PD    [Survey Scores] [Task 3.1] [2010-10-15 11:27:13] [39c51da0be01189e8a44eb69e891b7a1]
-   PD    [Survey Scores] [] [2010-10-15 11:32:23] [ed939ef6f97e5f2afb6796311d9e7a5f]
-    D      [Survey Scores] [] [2010-10-15 11:34:20] [ed939ef6f97e5f2afb6796311d9e7a5f]
-             [Survey Scores] [Question 1 part 3] [2010-10-17 11:41:37] [ca5ab8c53423c489dac59e1a1d654047]
-             [Survey Scores] [Workshop 3] [2010-10-17 11:46:05] [5ddc7dfb25e070b079c4c8fcccc4d42e]
-           [Survey Scores] [Question 1 part 2] [2010-10-17 11:39:52] [ca5ab8c53423c489dac59e1a1d654047]
-           [Survey Scores] [Workshop 3] [2010-10-17 11:43:22] [5ddc7dfb25e070b079c4c8fcccc4d42e]
F   PD    [Survey Scores] [Task 3.1] [2010-10-15 11:33:49] [39c51da0be01189e8a44eb69e891b7a1]
F    D      [Survey Scores] [Task 3.1] [2010-10-15 11:38:45] [39c51da0be01189e8a44eb69e891b7a1]
-    D      [Survey Scores] [Pearsson Correlation] [2010-12-10 15:11:42] [39c51da0be01189e8a44eb69e891b7a1]
- RMPD      [Cronbach Alpha] [Chronbach alpha] [2010-12-10 15:41:01] [39c51da0be01189e8a44eb69e891b7a1]
-   PD    [Survey Scores] [Extr. 2] [2010-10-15 11:37:01] [c289bfbb56808c5d93a0f55b5d39f5bd]
-   PD    [Survey Scores] [Workshop 3 - Extr...] [2010-10-15 11:52:03] [6f0e7a2d1a07390e3505a2db8288f975]
- RMPD    [Cronbach Alpha] [Workshop 3 - Task...] [2010-10-15 12:01:43] [8b017ffbf7b0eded54d8efebfb3e4cfa]
- RMPD    [Notched Boxplots] [Workshop 3 - Task...] [2010-10-15 13:31:09] [8b017ffbf7b0eded54d8efebfb3e4cfa]
-   PD    [Survey Scores] [] [2010-10-15 15:55:12] [7b479c2bada71feddb7d988499871dfc]
-   PD    [Survey Scores] [] [2010-10-15 15:57:48] [7b479c2bada71feddb7d988499871dfc]
-   PD    [Survey Scores] [Extrinsic motivat...] [2010-10-15 18:31:44] [9894f466352df31a128e82ec8d720241]
-           [Survey Scores] [extrinsic motivat...] [2010-10-18 18:06:12] [814f53995537cd15c528d8efbf1cf544]
-   PD    [Survey Scores] [extrinsic motivat...] [2010-10-15 18:34:53] [9894f466352df31a128e82ec8d720241]
-           [Survey Scores] [extrinsic motivat...] [2010-10-18 18:11:04] [814f53995537cd15c528d8efbf1cf544]
-   PD    [Survey Scores] [Extrinsic motivat...] [2010-10-16 09:01:08] [033eb2749a430605d9b2be7c4aac4a0c]
-           [Survey Scores] [Extrinsic: Introj...] [2010-10-19 13:49:29] [6501d0caa85bd8c4ed4905f18a69a94d]
-   PD    [Survey Scores] [WS3 Task 1 b] [2010-10-16 10:19:39] [1fd136673b2a4fecb5c545b9b4a05d64]
- R         [Survey Scores] [] [2011-10-18 10:52:50] [74be16979710d4c4e7c6647856088456]
-   P     [Survey Scores] [taak 3 vraag 1] [2010-10-16 11:56:26] [74be16979710d4c4e7c6647856088456]
-   PD    [Survey Scores] [Extrinsic 2 - In...] [2010-10-16 14:11:43] [48146708a479232c43a8f6e52fbf83b4]
F   PD    [Survey Scores] [] [2010-10-17 08:27:20] [c1605865773cc027e55b238d879a644c]
-   PD    [Survey Scores] [] [2010-10-17 13:05:52] [22937c5b58c14f6c22964f32d64ff823]
-   PD    [Survey Scores] [Task 1: Extrinsic...] [2010-10-17 13:50:51] [6ca0fc48dd5333d51a15728999009c83]
-           [Survey Scores] [ws3.1.1 introjected] [2010-10-19 11:26:23] [e4076051fbfb461c886b1e223cd7862f]
-             [Survey Scores] [] [2010-10-19 18:49:51] [76e72a1b37cce9a27058d2e4927e5bf5]
-    D        [Survey Scores] [WS3 oef 1] [2010-10-19 20:53:48] [5278e0a58c5de897b31ce79607e774d7]
-    D        [Survey Scores] [] [2010-10-19 23:12:00] [93b680a2d8d992e1eb89148dafc4c61c]
-   PD    [Survey Scores] [Extrinsic motivat...] [2010-10-17 13:54:22] [95e8426e0df851c9330605aa1e892ab5]
-   PD    [Survey Scores] [extrinsic motivat...] [2010-10-17 14:37:44] [0e7b3997dca5cf9d94982fb4db7bd3d5]
-           [Survey Scores] [] [2010-10-18 09:12:00] [4cb9d9226ff0df1b8fdf89cde6bcc828]
-           [Survey Scores] [ws 3 part 1] [2010-10-18 11:44:51] [74be16979710d4c4e7c6647856088456]

[Truncated]
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Dataset

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

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'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=82851&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=82851&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=82851&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'Sir Ronald Aylmer Fisher' @ 193.190.124.24






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)
10.54137490.4783370.38
20.67149410.5792260.56
30.7163490.54103320.53
40.62145440.5393250.58

\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 & 0.54 & 137 & 49 & 0.47 & 83 & 37 & 0.38 \tabularnewline
2 & 0.67 & 149 & 41 & 0.57 & 92 & 26 & 0.56 \tabularnewline
3 & 0.7 & 163 & 49 & 0.54 & 103 & 32 & 0.53 \tabularnewline
4 & 0.62 & 145 & 44 & 0.53 & 93 & 25 & 0.58 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=82851&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]0.54[/C][C]137[/C][C]49[/C][C]0.47[/C][C]83[/C][C]37[/C][C]0.38[/C][/ROW]
[ROW][C]2[/C][C]0.67[/C][C]149[/C][C]41[/C][C]0.57[/C][C]92[/C][C]26[/C][C]0.56[/C][/ROW]
[ROW][C]3[/C][C]0.7[/C][C]163[/C][C]49[/C][C]0.54[/C][C]103[/C][C]32[/C][C]0.53[/C][/ROW]
[ROW][C]4[/C][C]0.62[/C][C]145[/C][C]44[/C][C]0.53[/C][C]93[/C][C]25[/C][C]0.58[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=82851&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=82851&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)
10.54137490.4783370.38
20.67149410.5792260.56
30.7163490.54103320.53
40.62145440.5393250.58






Pearson correlations of survey scores (and p-values)
mean(Ps-Ns)/(Ps+Ns)(Pc-Nc)/(Pc+Nc)
mean1 (0)0.878 (0.122)0.755 (0.245)
(Ps-Ns)/(Ps+Ns)0.878 (0.122)1 (0)0.879 (0.121)
(Pc-Nc)/(Pc+Nc)0.755 (0.245)0.879 (0.121)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) & 0.878 (0.122) & 0.755 (0.245) \tabularnewline
(Ps-Ns)/(Ps+Ns) & 0.878 (0.122) & 1 (0) & 0.879 (0.121) \tabularnewline
(Pc-Nc)/(Pc+Nc) & 0.755 (0.245) & 0.879 (0.121) & 1 (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=82851&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]0.878 (0.122)[/C][C]0.755 (0.245)[/C][/ROW]
[ROW][C](Ps-Ns)/(Ps+Ns)[/C][C]0.878 (0.122)[/C][C]1 (0)[/C][C]0.879 (0.121)[/C][/ROW]
[ROW][C](Pc-Nc)/(Pc+Nc)[/C][C]0.755 (0.245)[/C][C]0.879 (0.121)[/C][C]1 (0)[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=82851&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=82851&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)0.878 (0.122)0.755 (0.245)
(Ps-Ns)/(Ps+Ns)0.878 (0.122)1 (0)0.879 (0.121)
(Pc-Nc)/(Pc+Nc)0.755 (0.245)0.879 (0.121)1 (0)






Kendall tau rank correlations of survey scores (and p-values)
mean(Ps-Ns)/(Ps+Ns)(Pc-Nc)/(Pc+Nc)
mean1 (0.083)0.667 (0.333)0 (1)
(Ps-Ns)/(Ps+Ns)0.667 (0.333)1 (0.083)0.333 (0.75)
(Pc-Nc)/(Pc+Nc)0 (1)0.333 (0.75)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) & 0.667 (0.333) & 0 (1) \tabularnewline
(Ps-Ns)/(Ps+Ns) & 0.667 (0.333) & 1 (0.083) & 0.333 (0.75) \tabularnewline
(Pc-Nc)/(Pc+Nc) & 0 (1) & 0.333 (0.75) & 1 (0.083) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=82851&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]0.667 (0.333)[/C][C]0 (1)[/C][/ROW]
[ROW][C](Ps-Ns)/(Ps+Ns)[/C][C]0.667 (0.333)[/C][C]1 (0.083)[/C][C]0.333 (0.75)[/C][/ROW]
[ROW][C](Pc-Nc)/(Pc+Nc)[/C][C]0 (1)[/C][C]0.333 (0.75)[/C][C]1 (0.083)[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=82851&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=82851&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)0.667 (0.333)0 (1)
(Ps-Ns)/(Ps+Ns)0.667 (0.333)1 (0.083)0.333 (0.75)
(Pc-Nc)/(Pc+Nc)0 (1)0.333 (0.75)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')