FreeStatistics.org

Free Statistics

of Irreproducible Research!

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 11:18:40 +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/t1286882306tjyy29qxw22z87e.htm/, Retrieved Sun, 28 Apr 2024 16:50:00 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=82848, Retrieved Sun, 28 Apr 2024 16:50:00 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact1164

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] [d76b387543b13b5e3afd8ff9e5fdc89f] [Current]
-   PD    [Survey Scores] [Scores EM-Identified] [2010-10-15 08:19:02] [56d90b683fcd93137645f9226b43c62b]
F   PD    [Survey Scores] [Extrinsic Motivat...] [2010-10-15 08:33:08] [aeb27d5c05332f2e597ad139ee63fbe4]
-    D      [Survey Scores] [external motivati...] [2010-10-16 09:40:43] [bd591a1ebb67d263a02e7adae3fa1a4d]
-    D        [Survey Scores] [external motivati...] [2010-10-16 09:47:55] [bd591a1ebb67d263a02e7adae3fa1a4d]
-               [Survey Scores] [extrinsic motivat...] [2010-10-16 15:19:57] [bd591a1ebb67d263a02e7adae3fa1a4d]
-             [Survey Scores] [Extrinsic motiva...] [2010-10-16 15:17:28] [bd591a1ebb67d263a02e7adae3fa1a4d]
-   PD    [Survey Scores] [Extrinsic motivat...] [2010-10-15 08:34:23] [c7506ced21a6c0dca45d37c8a93c80e0]
-           [Survey Scores] [extr. 1 ] [2010-10-16 12:27:56] [6ff9fb24bdca608d2f4f1f9db3f6445e]
-    D      [Survey Scores] [extr. 2] [2010-10-16 12:31:14] [6ff9fb24bdca608d2f4f1f9db3f6445e]
-    D      [Survey Scores] [extr. 3] [2010-10-16 12:33:10] [6ff9fb24bdca608d2f4f1f9db3f6445e]
-           [Survey Scores] [] [2010-10-19 07:04:08] [dc30d19c3bc2be07fe595ad36c2cf923]
-   PD    [Survey Scores] [ Extrinsic motiva...] [2010-10-15 08:46:42] [c7506ced21a6c0dca45d37c8a93c80e0]
-           [Survey Scores] [] [2010-10-19 07:05:43] [dc30d19c3bc2be07fe595ad36c2cf923]
F   PD    [Survey Scores] [Extrinsic motivat...] [2010-10-15 08:39:14] [c7506ced21a6c0dca45d37c8a93c80e0]
-           [Survey Scores] [] [2010-10-19 07:10:17] [dc30d19c3bc2be07fe595ad36c2cf923]
-   PD    [Survey Scores] [Extrinsic 1] [2010-10-15 08:53:48] [4a7069087cf9e0eda253aeed7d8c30d6]
-   PD    [Survey Scores] [Extrinsic 2] [2010-10-15 08:55:50] [4a7069087cf9e0eda253aeed7d8c30d6]
-   PD    [Survey Scores] [Extrinsic 3] [2010-10-15 08:56:47] [4a7069087cf9e0eda253aeed7d8c30d6]
-   P     [Survey Scores] [Workshop 3 - Intr...] [2010-10-15 09:15:39] [6f0e7a2d1a07390e3505a2db8288f975]
-   PD    [Survey Scores] [Workshop 1 - Task...] [2010-10-15 10:15:07] [74be16979710d4c4e7c6647856088456]
-   P     [Survey Scores] [Workshop 3 Extrin...] [2010-10-15 09:15:39] [6f0e7a2d1a07390e3505a2db8288f975]
-   P     [Survey Scores] [Workshop 3 - Extr...] [2010-10-15 09:15:39] [6f0e7a2d1a07390e3505a2db8288f975]
-    D      [Survey Scores] [Workshop 3 - Extr...] [2010-10-15 11:08:17] [6f0e7a2d1a07390e3505a2db8288f975]
-   PD    [Survey Scores] [Workshop 1 - Task...] [2010-10-15 10:21:23] [8b017ffbf7b0eded54d8efebfb3e4cfa]
-   PD    [Survey Scores] [Workshop 3 - Extr...] [2010-10-15 09:26:56] [6f0e7a2d1a07390e3505a2db8288f975]
-   PD      [Survey Scores] [Workshop 3 - Extr...] [2010-10-15 11:46:49] [6f0e7a2d1a07390e3505a2db8288f975]
-   PD    [Survey Scores] [Workshop 3 - Extr...] [2010-10-15 09:28:01] [6f0e7a2d1a07390e3505a2db8288f975]
-   PD    [Survey Scores] [Extrinsic motivat...] [2010-10-15 10:29:38] [2960375a246cc0628590c95c4038a43c]
-   PD    [Survey Scores] [Extrinsic motivat...] [2010-10-15 10:38:28] [2960375a246cc0628590c95c4038a43c]
-   PD    [Survey Scores] [Extrinsic motivat...] [2010-10-15 10:40:37] [2960375a246cc0628590c95c4038a43c]
-   PD    [Survey Scores] [Question 1 Extrin...] [2010-10-15 10:55:08] [97ad38b1c3b35a5feca8b85f7bc7b3ff]
-   PD      [Survey Scores] [IC popularity] [2010-11-13 14:52:55] [97ad38b1c3b35a5feca8b85f7bc7b3ff]
-   P         [Survey Scores] [Quasi interval sc...] [2010-11-15 23:19:36] [97ad38b1c3b35a5feca8b85f7bc7b3ff]
-   P         [Survey Scores] [Quasi interval sc...] [2010-11-15 23:19:36] [97ad38b1c3b35a5feca8b85f7bc7b3ff]
-   P         [Survey Scores] [Quasi interval sc...] [2010-11-15 23:19:36] [97ad38b1c3b35a5feca8b85f7bc7b3ff]
-   P         [Survey Scores] [Quasi interval sc...] [2010-11-15 23:19:36] [97ad38b1c3b35a5feca8b85f7bc7b3ff]
-   P         [Survey Scores] [Quasi interval sc...] [2010-11-15 23:19:36] [97ad38b1c3b35a5feca8b85f7bc7b3ff]
-   P         [Survey Scores] [Quasi interval sc...] [2010-11-15 23:19:36] [97ad38b1c3b35a5feca8b85f7bc7b3ff]
-   P         [Survey Scores] [Quasi interval sc...] [2010-11-15 23:19:36] [97ad38b1c3b35a5feca8b85f7bc7b3ff]
-   P         [Survey Scores] [Quasi interval sc...] [2010-11-15 23:19:36] [97ad38b1c3b35a5feca8b85f7bc7b3ff]
-   PD      [Survey Scores] [IC finding friends] [2010-11-13 14:56:05] [97ad38b1c3b35a5feca8b85f7bc7b3ff]
-   PD      [Survey Scores] [IC knowing people] [2010-11-13 14:57:53] [97ad38b1c3b35a5feca8b85f7bc7b3ff]
-   PD      [Survey Scores] [IC Liked] [2010-11-13 14:59:39] [97ad38b1c3b35a5feca8b85f7bc7b3ff]
-   PD    [Survey Scores] [Workshop 3 - Task...] [2010-10-15 11:03:14] [8b017ffbf7b0eded54d8efebfb3e4cfa]
-   PD    [Survey Scores] [Workshop 3 - Task...] [2010-10-15 11:06:02] [8b017ffbf7b0eded54d8efebfb3e4cfa]
-   PD    [Survey Scores] [Workshop 3 - Extr...] [2010-10-15 11:24:15] [6f0e7a2d1a07390e3505a2db8288f975]
- RM        [Cronbach Alpha] [Workshop 3 - inte...] [2010-10-15 12:04:52] [6f0e7a2d1a07390e3505a2db8288f975]
-   PD    [Survey Scores] [Workshop 3 - Extr...] [2010-10-15 11:27:31] [6f0e7a2d1a07390e3505a2db8288f975]

[Truncated]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
7	7	7	5
5	5	5	5
6	5	4	4
4	5	5	5
5	5	5	5
6	6	6	7
7	4	7	7
6	5	5	6
6	7	7	6
6	5	5	6
5	2	4	6
5	5	6	6
4	5	4	6
6	6	6	6
6	6	7	7
5	5	6	5
3	3	4	3
7	6	6	7
3	5	6	6
5	5	6	6
3	3	4	4
5	5	5	6
2	1	2	2
6	5	6	6
3	4	5	5
6	6	6	7
6	6	6	7
5	4	5	5
5	4	5	6
7	5	5	6
6	4	6	6
5	5	6	6
5	6	5	5
4	3	4	4
4	5	6	5
6	5	5	6
5	3	5	5
5	5	5	5
7	7	7	7
5	6	5	6
5	4	5	4
6	5	7	5
5	5	5	5
6	6	7	6
7	7	6	6
5	3	3	4
5	4	4	4
5	6	6	6
6	5	5	5
2	2	4	5
4	4	4	6
4	4	6	5
6	5	5	6
3	4	4	5
6	6	6	6
6	2	5	5
5	4	5	6
6	6	6	6
1	4	6	3
5	5	6	6
7	6	5	6
4	4	5	5
5	6	5	5
6	6	5	6
4	5	4	4
6	6	5	5
6	6	6	6
5	4	6	6
5	6	5	6
3	3	5	5
5	5	5	6
6	5	6	6
5	5	6	6
6	6	6	6
6	6	6	6
4	4	4	4
4	4	4	4
6	5	5	5
7	6	6	7
4	3	3	5
5	6	7	7
6	2	5	5
6	5	6	6
5	3	6	6
3	4	5	5
7	6	6	6
6	5	6	7
4	4	4	5
4	5	6	4
5	5	5	5
3	4	4	4
7	7	7	6
6	4	6	6
6	6	6	5
4	4	4	4
5	4	5	5
6	6	6	7
5	3	5	6
6	4	4	5
6	7	7	6
4	5	6	6
5	5	5	5
6	6	6	6
5	5	6	6
5	5	5	5
4	4	5	5
4	5	5	4
6	6	5	7
5	5	7	7
6	5	6	5
5	4	7	7
6	4	6	6
5	5	5	5
4	5	4	5
6	6	6	7
4	5	4	5
5	3	3	5
5	5	5	5
6	3	5	5
3	4	5	3
5	4	5	5
4	5	5	5
5	2	5	4
5	5	3	4
7	7	7	7
5	6	6	6
7	6	6	6
5	5	4	6
4	4	4	5
6	6	6	5
4	3	4	5
4	7	6	6
4	3	2	2
4	4	5	5
6	6	5	7
6	5	6	6
5	6	5	5
3	4	4	5
6	6	6	6
5	6	6	6
4	4	5	5
5	5	5	5
2	3	2	2
5	6	6	7
7	5	6	7
4	6	5	5
4	5	6	6
7	6	7	5
6	5	5	6
5	6	5	5
5	5	5	6
5	5	6	6
7	6	7	7
6	5	7	6
6	6	6	6
5	5	5	6
2	4	6	6
4	4	4	4
6	4	6	6
5	5	6	4
5	4	4	5
5	5	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'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=82848&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=82848&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=82848&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)
11.08196210.81118150.77
20.84163270.72106200.68
31.28218100.9113070.9
41.4424290.9313960.92

\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 & 1.08 & 196 & 21 & 0.81 & 118 & 15 & 0.77 \tabularnewline
2 & 0.84 & 163 & 27 & 0.72 & 106 & 20 & 0.68 \tabularnewline
3 & 1.28 & 218 & 10 & 0.91 & 130 & 7 & 0.9 \tabularnewline
4 & 1.44 & 242 & 9 & 0.93 & 139 & 6 & 0.92 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=82848&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]1.08[/C][C]196[/C][C]21[/C][C]0.81[/C][C]118[/C][C]15[/C][C]0.77[/C][/ROW]
[ROW][C]2[/C][C]0.84[/C][C]163[/C][C]27[/C][C]0.72[/C][C]106[/C][C]20[/C][C]0.68[/C][/ROW]
[ROW][C]3[/C][C]1.28[/C][C]218[/C][C]10[/C][C]0.91[/C][C]130[/C][C]7[/C][C]0.9[/C][/ROW]
[ROW][C]4[/C][C]1.44[/C][C]242[/C][C]9[/C][C]0.93[/C][C]139[/C][C]6[/C][C]0.92[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=82848&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=82848&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)
11.08196210.81118150.77
20.84163270.72106200.68
31.28218100.9113070.9
41.4424290.9313960.92






Pearson correlations of survey scores (and p-values)
mean(Ps-Ns)/(Ps+Ns)(Pc-Nc)/(Pc+Nc)
mean1 (0)0.985 (0.015)0.981 (0.019)
(Ps-Ns)/(Ps+Ns)0.985 (0.015)1 (0)0.998 (0.002)
(Pc-Nc)/(Pc+Nc)0.981 (0.019)0.998 (0.002)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) & 0.985 (0.015) & 0.981 (0.019) \tabularnewline
(Ps-Ns)/(Ps+Ns) & 0.985 (0.015) & 1 (0) & 0.998 (0.002) \tabularnewline
(Pc-Nc)/(Pc+Nc) & 0.981 (0.019) & 0.998 (0.002) & 1 (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=82848&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]0.985 (0.015)[/C][C]0.981 (0.019)[/C][/ROW]
[ROW][C](Ps-Ns)/(Ps+Ns)[/C][C]0.985 (0.015)[/C][C]1 (0)[/C][C]0.998 (0.002)[/C][/ROW]
[ROW][C](Pc-Nc)/(Pc+Nc)[/C][C]0.981 (0.019)[/C][C]0.998 (0.002)[/C][C]1 (0)[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=82848&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=82848&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)0.985 (0.015)0.981 (0.019)
(Ps-Ns)/(Ps+Ns)0.985 (0.015)1 (0)0.998 (0.002)
(Pc-Nc)/(Pc+Nc)0.981 (0.019)0.998 (0.002)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=82848&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=82848&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=82848&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')