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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 computationSat, 13 Dec 2014 22:29:44 +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/2014/Dec/13/t1418509823vvvym8ch2m29hng.htm/, Retrieved Thu, 16 May 2024 09:42:06 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=267308, Retrieved Thu, 16 May 2024 09:42:06 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact96

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 11:18:40] [b98453cac15ba1066b407e146608df68]
- R PD  [Survey Scores] [] [2011-10-18 12:18:26] [b98453cac15ba1066b407e146608df68]
- RMPD      [Survey Scores] [Kendall Tau Corre...] [2014-12-13 22:29:44] [8188a2bb20af439749c29996b06d1031] [Current]
- RMP         [Cronbach Alpha] [] [2014-12-15 18:30:42] [eee95947b6243a1febfcd5f41483d733]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
4	2	2	2	2	2
4	5	4	5	5	4
3	1	3	3	2	3
6	5	7	6	4	6
4	3	3	4	3	4
4	4	5	4	4	5
5	5	5	5	4	5
5	3	4	3	2	4
7	7	7	7	7	7
7	6	5	6	6	5
3	5	3	4	3	5
7	4	6	7	6	5
2	3	2	3	5	5
5	3	5	5	3	5
6	2	5	5	5	6
5	5	4	5	5	5
4	3	4	3	3	4
6	4	5	5	4	5
5	3	5	5	4	4
7	7	6	6	4	7
7	6	6	5	3	6
7	5	5	7	4	5
6	4	5	6	5	4
5	4	3	4	3	5
5	5	6	6	4	6
4	4	5	5	4	5
5	6	4	6	6	5
5	5	4	5	3	5
6	6	4	5	5	6
6	4	4	5	2	5
2	1	3	2	3	5
6	4	5	5	4	5
3	5	4	5	5	5
6	4	2	6	1	1
4	4	3	5	4	5
3	2	5	5	3	5
7	2	5	6	4	6
5	4	5	5	4	4
5	4	5	5	5	5
4	2	4	4	3	3
4	2	4	4	3	3
6	2	3	3	3	4
5	2	4	5	3	4
5	2	2	2	4	2
4	2	2	2	2	3
7	4	5	5	6	5
4	4	5	5	2	5
6	5	5	5	4	6
6	4	4	6	5	6
4	2	6	4	2	5
5	3	5	3	4	5
5	3	2	4	4	4
4	4	4	4	2	2
5	5	6	6	5	6
6	3	5	6	4	5
5	2	5	6	4	5
5	2	2	3	2	6
4	4	3	5	4	6
6	3	3	4	3	5
5	3	5	5	2	5
6	2	7	5	4	6
4	2	4	5	5	3
3	5	2	3	2	3
5	4	2	4	2	4
5	4	4	5	4	5
5	3	4	5	3	4
4	6	5	6	5	5
5	5	4	4	2	4
5	2	4	4	2	5
5	4	3	4	1	3
5	5	4	5	4	3
5	3	3	6	4	2
6	4	6	5	4	5
6	5	6	5	6	5
5	2	2	1	1	2
2	2	2	3	3	4
4	2	4	4	1	3
6	3	7	7	4	6
4	2	3	3	2	3
4	6	4	5	3	4
5	4	4	5	3	4
5	4	4	5	3	4
4	1	6	4	3	5
4	5	3	5	5	4
3	2	5	4	1	4
5	4	5	5	4	5
6	3	4	6	5	5
5	4	6	5	4	7
4	3	4	5	4	5
5	4	4	5	3	4
4	5	4	4	3	4
4	2	3	2	2	3
4	3	4	7	6	5
2	2	2	2	1	5
4	7	4	5	2	5
4	6	5	6	5	6
5	4	4	5	5	5
7	3	4	5	4	5
4	2	4	3	3	4
6	4	6	6	5	6
5	5	4	5	4	5
4	5	5	5	5	7
2	1	1	5	1	2
6	3	4	6	5	4
4	2	5	4	2	6
4	4	5	4	2	4
7	4	2	7	7	4
6	6	3	5	2	5
5	6	5	6	6	4
5	3	5	6	4	6
6	5	5	5	4	6
6	5	1	6	5	6
4	4	4	5	3	5
1	1	2	1	1	2
5	3	3	3	2	5
4	4	5	4	4	5
7	3	3	5	4	4
5	6	4	6	2	6
6	4	5	5	3	4
6	6	6	5	4	6
5	4	5	5	5	6
5	4	5	5	3	4
4	4	5	4	3	3
6	5	6	6	5	6
4	4	5	4	4	5
5	5	5	5	3	5
4	2	2	4	3	4
4	4	4	4	4	7
6	5	7	6	5	7
4	3	4	4	4	5
6	6	2	2	2	4
5	5	5	6	4	5
6	2	6	4	4	5
5	5	6	5	4	6
4	2	2	4	2	2
6	7	5	5	5	6
3	3	3	4	3	4
5	4	4	5	2	6
5	4	5	5	4	5
6	4	6	7	2	6
2	3	3	3	2	2
5	3	2	5	2	6
6	4	6	6	6	6
5	3	7	4	2	7
6	5	5	5	2	5
5	4	3	4	2	4
5	3	7	7	5	7
4	1	5	5	2	5
5	5	5	4	3	5
6	3	4	4	4	3
6	3	6	5	3	7
5	2	4	5	5	6
4	4	6	5	4	5
3	1	3	4	2	3
6	5	5	6	6	5
7	5	4	7	6	6
7	7	7	6	4	7
6	2	4	5	5	6
6	4	5	6	5	5
6	2	1	3	2	4
4	2	4	4	3	3
6	5	4	5	5	5
5	3	2	5	2	2
6	5	5	5	4	6
4	3	6	5	2	7
3	6	3	4	5	6
5	4	4	6	2	5
5	4	6	5	2	5
7	4	4	6	6	6
4	3	5	5	6	6
7	7	7	7	6	7
5	4	4	5	3	5
5	4	4	4	4	5
5	3	5	6	3	5
5	3	5	6	4	5
5	5	4	5	3	5
5	2	3	4	3	4
4	1	1	1	2	2
4	3	4	5	4	5
6	5	4	5	3	4
5	3	4	5	3	5
4	2	5	5	3	4
6	1	5	4	2	6
5	4	5	5	4	5
3	4	2	3	1	3
4	5	4	7	4	6
4	5	6	7	4	6
4	5	6	6	4	6
4	5	6	7	4	6
5	3	4	6	4	6
4	3	3	5	4	4
3	3	6	6	6	6
6	3	3	7	6	3
5	6	6	5	4	6
7	3	1	4	3	4
5	4	5	4	4	3
5	5	3	5	2	5
4	4	4	4	4	4
5	2	4	3	3	2
6	5	5	6	5	5
2	6	4	2	7	5
6	5	5	6	5	6
6	5	5	6	4	4
4	3	5	3	2	5
4	5	3	4	4	5
6	5	2	7	3	1
5	3	5	6	2	3
5	1	2	5	2	4
5	4	3	4	3	4
4	4	3	5	2	5
5	3	5	6	4	5
6	3	6	6	3	6
5	5	4	6	5	4
5	4	5	5	2	7
5	2	4	6	3	5
3	2	3	5	4	4
5	2	3	2	3	2
6	2	6	5	5	5
4	2	3	6	4	3
4	3	5	3	3	6
5	4	5	5	4	5
5	5	5	5	6	5
6	4	4	1	2	5
5	3	4	5	2	4
4	4	5	4	4	5
4	3	4	5	2	4
5	4	4	4	4	5
5	5	5	6	5	5
5	4	5	6	4	6
4	3	4	5	3	6
7	5	6	6	3	6
6	4	4	7	4	3
7	4	5	6	5	6
5	4	3	5	3	5
5	2	5	6	2	6
5	5	5	6	4	5
6	5	5	5	4	5
7	6	6	7	4	7
3	4	2	3	1	7
5	6	3	5	6	6
7	6	7	7	4	7
5	4	2	5	3	6
4	5	4	6	3	6
4	3	5	4	3	6
5	2	3	4	2	6
5	4	6	5	4	6
4	5	4	3	3	3
3	3	2	5	2	3
7	5	5	4	5	6
6	3	7	5	4	6
5	5	6	5	3	5
5	1	6	5	2	6
4	5	3	5	3	5
1	3	2	1	1	3
3	2	4	3	2	5
5	5	6	5	3	4
4	4	4	4	5	5
3	6	6	7	4	7
6	3	3	3	2	6
4	3	2	4	3	4
5	4	3	5	5	5
5	4	3	4	4	4
5	6	4	3	3	3
6	5	4	6	5	5
5	5	2	5	4	5
5	3	6	4	4	5
5	4	2	5	3	3
7	7	6	6	7	1
5	4	6	6	4	6
6	5	5	5	4	5
5	4	5	5	5	5
5	2	3	3	1	7
5	3	4	5	4	5
6	5	4	6	4	5
6	5	5	5	4	5
4	3	3	4	4	5
5	4	5	5	4	5
3	2	3	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 time1 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 & 1 seconds \tabularnewline
R Server & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=267308&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 Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=267308&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=267308&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 time1 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)
11.4413240.89252260.81
20.28203.5124.50.241631150.17
30.76288770.58202760.45
41.3399380.83240380.73
50.071631430.071501280.08
61.31403400.82236420.7

\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 & 1.4 & 413 & 24 & 0.89 & 252 & 26 & 0.81 \tabularnewline
2 & 0.28 & 203.5 & 124.5 & 0.24 & 163 & 115 & 0.17 \tabularnewline
3 & 0.76 & 288 & 77 & 0.58 & 202 & 76 & 0.45 \tabularnewline
4 & 1.3 & 399 & 38 & 0.83 & 240 & 38 & 0.73 \tabularnewline
5 & 0.07 & 163 & 143 & 0.07 & 150 & 128 & 0.08 \tabularnewline
6 & 1.31 & 403 & 40 & 0.82 & 236 & 42 & 0.7 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=267308&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]1.4[/C][C]413[/C][C]24[/C][C]0.89[/C][C]252[/C][C]26[/C][C]0.81[/C][/ROW]
[ROW][C]2[/C][C]0.28[/C][C]203.5[/C][C]124.5[/C][C]0.24[/C][C]163[/C][C]115[/C][C]0.17[/C][/ROW]
[ROW][C]3[/C][C]0.76[/C][C]288[/C][C]77[/C][C]0.58[/C][C]202[/C][C]76[/C][C]0.45[/C][/ROW]
[ROW][C]4[/C][C]1.3[/C][C]399[/C][C]38[/C][C]0.83[/C][C]240[/C][C]38[/C][C]0.73[/C][/ROW]
[ROW][C]5[/C][C]0.07[/C][C]163[/C][C]143[/C][C]0.07[/C][C]150[/C][C]128[/C][C]0.08[/C][/ROW]
[ROW][C]6[/C][C]1.31[/C][C]403[/C][C]40[/C][C]0.82[/C][C]236[/C][C]42[/C][C]0.7[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=267308&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=267308&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)
11.4413240.89252260.81
20.28203.5124.50.241631150.17
30.76288770.58202760.45
41.3399380.83240380.73
50.071631430.071501280.08
61.31403400.82236420.7






Pearson correlations of survey scores (and p-values)
mean(Ps-Ns)/(Ps+Ns)(Pc-Nc)/(Pc+Nc)
mean1 (0)0.995 (0)0.998 (0)
(Ps-Ns)/(Ps+Ns)0.995 (0)1 (0)0.994 (0)
(Pc-Nc)/(Pc+Nc)0.998 (0)0.994 (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) & 0.995 (0) & 0.998 (0) \tabularnewline
(Ps-Ns)/(Ps+Ns) & 0.995 (0) & 1 (0) & 0.994 (0) \tabularnewline
(Pc-Nc)/(Pc+Nc) & 0.998 (0) & 0.994 (0) & 1 (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=267308&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]0.995 (0)[/C][C]0.998 (0)[/C][/ROW]
[ROW][C](Ps-Ns)/(Ps+Ns)[/C][C]0.995 (0)[/C][C]1 (0)[/C][C]0.994 (0)[/C][/ROW]
[ROW][C](Pc-Nc)/(Pc+Nc)[/C][C]0.998 (0)[/C][C]0.994 (0)[/C][C]1 (0)[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=267308&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=267308&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)0.995 (0)0.998 (0)
(Ps-Ns)/(Ps+Ns)0.995 (0)1 (0)0.994 (0)
(Pc-Nc)/(Pc+Nc)0.998 (0)0.994 (0)1 (0)






Kendall tau rank correlations of survey scores (and p-values)
mean(Ps-Ns)/(Ps+Ns)(Pc-Nc)/(Pc+Nc)
mean1 (0.003)0.867 (0.017)0.867 (0.017)
(Ps-Ns)/(Ps+Ns)0.867 (0.017)1 (0.003)1 (0.003)
(Pc-Nc)/(Pc+Nc)0.867 (0.017)1 (0.003)1 (0.003)

\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) & 0.867 (0.017) & 0.867 (0.017) \tabularnewline
(Ps-Ns)/(Ps+Ns) & 0.867 (0.017) & 1 (0.003) & 1 (0.003) \tabularnewline
(Pc-Nc)/(Pc+Nc) & 0.867 (0.017) & 1 (0.003) & 1 (0.003) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=267308&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]0.867 (0.017)[/C][C]0.867 (0.017)[/C][/ROW]
[ROW][C](Ps-Ns)/(Ps+Ns)[/C][C]0.867 (0.017)[/C][C]1 (0.003)[/C][C]1 (0.003)[/C][/ROW]
[ROW][C](Pc-Nc)/(Pc+Nc)[/C][C]0.867 (0.017)[/C][C]1 (0.003)[/C][C]1 (0.003)[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=267308&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=267308&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 (0.003)0.867 (0.017)0.867 (0.017)
(Ps-Ns)/(Ps+Ns)0.867 (0.017)1 (0.003)1 (0.003)
(Pc-Nc)/(Pc+Nc)0.867 (0.017)1 (0.003)1 (0.003)


Figures (Output of Computation)

Input Parameters & R Code

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')