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Author's title

Author

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R Software Module

rwasp_surveyscores.wasp

Title produced by software

Survey Scores

Date of computation

Sat, 13 Dec 2014 16:26:39 +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/t141848804176ul6nkolcubj6d.htm/, Retrieved Thu, 16 May 2024 11:55:19 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=267209, Retrieved Thu, 16 May 2024 11:55:19 +0000

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Original text written by user:

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)

-     [Percentiles] [Intrinsic Motivat...] [2010-10-12 12:10:58] [b98453cac15ba1066b407e146608df68]
- RMPD  [Kernel Density Estimation] [] [2011-10-18 22:42:23] [b98453cac15ba1066b407e146608df68]
- RMPD    [Percentiles] [] [2011-10-18 22:46:45] [b98453cac15ba1066b407e146608df68]
- RMPD      [Notched Boxplots] [] [2011-10-18 22:58:56] [b98453cac15ba1066b407e146608df68]
- RM D        [Back to Back Histogram] [] [2011-10-18 23:05:48] [b98453cac15ba1066b407e146608df68]
- RMPD            [Survey Scores] [] [2014-12-13 16:26:39] [f11ff77f11120bba23ccca75f7c5b5e0] [Current]

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Dataseries X:

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Histogram

Boxplots

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

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 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=267209&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=267209&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=267209&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 Maurice George Kendall' @ kendall.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	0.94	321	65	0.66	192	40	0.66
2	2.01	556	10	0.96	254	6	0.95
3	1.6	458	22	0.91	233	12	0.9
4	1.79	501	14	0.95	245	8	0.94

\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 & 0.94 & 321 & 65 & 0.66 & 192 & 40 & 0.66 \tabularnewline
2 & 2.01 & 556 & 10 & 0.96 & 254 & 6 & 0.95 \tabularnewline
3 & 1.6 & 458 & 22 & 0.91 & 233 & 12 & 0.9 \tabularnewline
4 & 1.79 & 501 & 14 & 0.95 & 245 & 8 & 0.94 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=267209&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]0.94[/C][C]321[/C][C]65[/C][C]0.66[/C][C]192[/C][C]40[/C][C]0.66[/C][/ROW]
[ROW][C]2[/C][C]2.01[/C][C]556[/C][C]10[/C][C]0.96[/C][C]254[/C][C]6[/C][C]0.95[/C][/ROW]
[ROW][C]3[/C][C]1.6[/C][C]458[/C][C]22[/C][C]0.91[/C][C]233[/C][C]12[/C][C]0.9[/C][/ROW]
[ROW][C]4[/C][C]1.79[/C][C]501[/C][C]14[/C][C]0.95[/C][C]245[/C][C]8[/C][C]0.94[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=267209&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=267209&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	0.94	321	65	0.66	192	40	0.66
2	2.01	556	10	0.96	254	6	0.95
3	1.6	458	22	0.91	233	12	0.9
4	1.79	501	14	0.95	245	8	0.94

Pearson correlations of survey scores (and p-values)
	mean	(Ps-Ns)/(Ps+Ns)	(Pc-Nc)/(Pc+Nc)
mean	1 (0)	0.972 (0.028)	0.973 (0.027)
(Ps-Ns)/(Ps+Ns)	0.972 (0.028)	1 (0)	1 (0)
(Pc-Nc)/(Pc+Nc)	0.973 (0.027)	1 (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) & 0.972 (0.028) & 0.973 (0.027) \tabularnewline
(Ps-Ns)/(Ps+Ns) & 0.972 (0.028) & 1 (0) & 1 (0) \tabularnewline
(Pc-Nc)/(Pc+Nc) & 0.973 (0.027) & 1 (0) & 1 (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=267209&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]0.972 (0.028)[/C][C]0.973 (0.027)[/C][/ROW]
[ROW][C](Ps-Ns)/(Ps+Ns)[/C][C]0.972 (0.028)[/C][C]1 (0)[/C][C]1 (0)[/C][/ROW]
[ROW][C](Pc-Nc)/(Pc+Nc)[/C][C]0.973 (0.027)[/C][C]1 (0)[/C][C]1 (0)[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=267209&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=267209&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)	0.972 (0.028)	0.973 (0.027)
(Ps-Ns)/(Ps+Ns)	0.972 (0.028)	1 (0)	1 (0)
(Pc-Nc)/(Pc+Nc)	0.973 (0.027)	1 (0)	1 (0)

Kendall tau rank correlations of survey scores (and p-values)
	mean	(Ps-Ns)/(Ps+Ns)	(Pc-Nc)/(Pc+Nc)
mean	1 (0.083)	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=267209&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=267209&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=267209&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 (0.083)	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)

Parameters (Session):

par1 = 1 2 3 4 5 6 7 ;

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')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code