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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, 16 Dec 2017 17:14:34 +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/2017/Dec/16/t1513441319u6bh89hrxjm7yx2.htm/, Retrieved Wed, 15 May 2024 21:47:49 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=309916, Retrieved Wed, 15 May 2024 21:47:49 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsGroup vs. Intention to use
Estimated Impact61

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Survey Scores] [Chi squared test ...] [2017-12-16 16:14:34] [97ca58e32232a99e44a6c848c7facc09] [Current]
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Dataset

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

Tables (Output of Computation)





\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 time1 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
R Engine error message & 
Error in cor.test.default(x, y, method = method) : 
  not enough finite observations
Calls: table.element -> paste -> docor -> cor.test -> cor.test.default
Execution halted

 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=309916&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]1 seconds[/C][/ROW] [ROW]R Server[/C]Big Analytics Cloud Computing Center[/C][/ROW] [ROW]R Engine error message[/C][C]
Error in cor.test.default(x, y, method = method) : 
  not enough finite observations
Calls: table.element -> paste -> docor -> cor.test -> cor.test.default
Execution halted
[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=309916&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=309916&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 time1 seconds
R ServerBig Analytics Cloud Computing Center
R Engine error message
Error in cor.test.default(x, y, method = method) : 
  not enough finite observations
Calls: table.element -> paste -> docor -> cor.test -> cor.test.default
Execution halted






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)
10.54341980.55266750.56
20.78413630.74301520.71

\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 & 341 & 98 & 0.55 & 266 & 75 & 0.56 \tabularnewline
2 & 0.78 & 413 & 63 & 0.74 & 301 & 52 & 0.71 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=309916&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]341[/C][C]98[/C][C]0.55[/C][C]266[/C][C]75[/C][C]0.56[/C][/ROW]
[ROW][C]2[/C][C]0.78[/C][C]413[/C][C]63[/C][C]0.74[/C][C]301[/C][C]52[/C][C]0.71[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=309916&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=309916&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)
10.54341980.55266750.56
20.78413630.74301520.71


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):
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')