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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 computationThu, 01 Dec 2016 11:07:09 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2016/Dec/01/t1480587203fhz5vbdemvetwie.htm/, Retrieved Fri, 01 Nov 2024 03:39:58 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=297508, Retrieved Fri, 01 Nov 2024 03:39:58 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact102

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Survey Scores] [SSROC] [2016-12-01 10:07:09] [f0fcaf0884a2ab8e55345d70fdb8db2d] [Current]
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Dataset

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

Tables (Output of Computation)





Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time0 seconds
R ServerBig Analytics Cloud Computing Center

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input view raw input (R code)  \tabularnewline
Raw Outputview raw output of R engine  \tabularnewline
Computing time0 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=297508&T=0

[TABLE]
[ROW]
Summary of computational transaction[/C][/ROW] [ROW]Raw Input[/C] view raw input (R code) [/C][/ROW] [ROW]Raw Output[/C]view raw output of R engine [/C][/ROW] [ROW]Computing time[/C]0 seconds[/C][/ROW] [ROW]R Server[/C]Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=297508&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=297508&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 Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time0 seconds
R ServerBig Analytics Cloud Computing Center






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)
11.5126070.9515170.91
21.4324680.9414870.91
3-0.3740102-0.443585-0.42

\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 & 1.51 & 260 & 7 & 0.95 & 151 & 7 & 0.91 \tabularnewline
2 & 1.43 & 246 & 8 & 0.94 & 148 & 7 & 0.91 \tabularnewline
3 & -0.37 & 40 & 102 & -0.44 & 35 & 85 & -0.42 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=297508&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]1.51[/C][C]260[/C][C]7[/C][C]0.95[/C][C]151[/C][C]7[/C][C]0.91[/C][/ROW]
[ROW][C]2[/C][C]1.43[/C][C]246[/C][C]8[/C][C]0.94[/C][C]148[/C][C]7[/C][C]0.91[/C][/ROW]
[ROW][C]3[/C][C]-0.37[/C][C]40[/C][C]102[/C][C]-0.44[/C][C]35[/C][C]85[/C][C]-0.42[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=297508&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=297508&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)
11.5126070.9515170.91
21.4324680.9414870.91
3-0.3740102-0.443585-0.42






Pearson correlations of survey scores (and p-values)
mean(Ps-Ns)/(Ps+Ns)(Pc-Nc)/(Pc+Nc)
mean1 (0)1 (0.02)0.999 (0.024)
(Ps-Ns)/(Ps+Ns)1 (0.02)1 (0)1 (0.004)
(Pc-Nc)/(Pc+Nc)0.999 (0.024)1 (0.004)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) & 1 (0.02) & 0.999 (0.024) \tabularnewline
(Ps-Ns)/(Ps+Ns) & 1 (0.02) & 1 (0) & 1 (0.004) \tabularnewline
(Pc-Nc)/(Pc+Nc) & 0.999 (0.024) & 1 (0.004) & 1 (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=297508&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]1 (0.02)[/C][C]0.999 (0.024)[/C][/ROW]
[ROW][C](Ps-Ns)/(Ps+Ns)[/C][C]1 (0.02)[/C][C]1 (0)[/C][C]1 (0.004)[/C][/ROW]
[ROW][C](Pc-Nc)/(Pc+Nc)[/C][C]0.999 (0.024)[/C][C]1 (0.004)[/C][C]1 (0)[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=297508&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=297508&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)1 (0.02)0.999 (0.024)
(Ps-Ns)/(Ps+Ns)1 (0.02)1 (0)1 (0.004)
(Pc-Nc)/(Pc+Nc)0.999 (0.024)1 (0.004)1 (0)






Kendall tau rank correlations of survey scores (and p-values)
mean(Ps-Ns)/(Ps+Ns)(Pc-Nc)/(Pc+Nc)
mean1 (0.333)1 (0.333)0.816 (0.221)
(Ps-Ns)/(Ps+Ns)1 (0.333)1 (0.333)0.816 (0.221)
(Pc-Nc)/(Pc+Nc)0.816 (0.221)0.816 (0.221)1 (0.157)

\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 (0.333) & 1 (0.333) & 0.816 (0.221) \tabularnewline
(Ps-Ns)/(Ps+Ns) & 1 (0.333) & 1 (0.333) & 0.816 (0.221) \tabularnewline
(Pc-Nc)/(Pc+Nc) & 0.816 (0.221) & 0.816 (0.221) & 1 (0.157) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=297508&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 (0.333)[/C][C]1 (0.333)[/C][C]0.816 (0.221)[/C][/ROW]
[ROW][C](Ps-Ns)/(Ps+Ns)[/C][C]1 (0.333)[/C][C]1 (0.333)[/C][C]0.816 (0.221)[/C][/ROW]
[ROW][C](Pc-Nc)/(Pc+Nc)[/C][C]0.816 (0.221)[/C][C]0.816 (0.221)[/C][C]1 (0.157)[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=297508&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=297508&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 (0.333)1 (0.333)0.816 (0.221)
(Ps-Ns)/(Ps+Ns)1 (0.333)1 (0.333)0.816 (0.221)
(Pc-Nc)/(Pc+Nc)0.816 (0.221)0.816 (0.221)1 (0.157)


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
Parameters (R input):
par1 = 1 2 3 4 5 ;
R code (references can be found in the software module):
par1 <- '1 2 3 4 5'
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)
}
print(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')