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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 computationFri, 15 Oct 2010 09:26:56 +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/15/t1287138515a9nkaumwneygo4z.htm/, Retrieved Sat, 04 May 2024 16:40:54 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=83396, Retrieved Sat, 04 May 2024 16:40:54 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact174

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]
-   PD    [Survey Scores] [Workshop 3 - Extr...] [2010-10-15 09:26:56] [708f372e2a7a3c78ea31b4de2d1213f8] [Current]
-   PD      [Survey Scores] [Workshop 3 - Extr...] [2010-10-15 11:46:49] [6f0e7a2d1a07390e3505a2db8288f975]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
Q2	Q9	Q16
7	7	7
5	5	5
6	5	4
4	5	5
5	5	5
6	6	6
7	4	7
6	5	5
6	7	7
6	5	5
5	2	4
5	5	6
4	5	4
6	6	6
6	6	7
5	5	6
3	3	4
7	6	6
3	5	6
5	5	6
3	3	4
5	5	5
2	1	2
6	5	6
3	4	5
6	6	6
6	6	6
5	4	5
5	4	5
7	5	5
6	4	6
5	5	6
5	6	5
4	3	4
4	5	6
6	5	5
5	3	5
5	5	5
7	7	7
5	6	5
5	4	5
6	5	7
5	5	5
6	6	7
7	7	6
5	3	3
5	4	4
5	6	6
6	5	5
2	2	4
4	4	4
4	4	6
6	5	5
3	4	4
6	6	6
6	2	5
5	4	5
6	6	6
1	4	6
5	5	6
7	6	5
4	4	5
5	6	5
6	6	5
4	5	4
6	6	5
6	6	6
5	4	6
5	6	5
3	3	5
5	5	5
6	5	6
5	5	6
6	6	6
6	6	6
4	4	4
4	4	4
6	5	5
7	6	6
4	3	3
5	6	7
6	2	5
6	5	6
5	3	6
3	4	5
7	6	6
6	5	6
4	4	4
4	5	6
5	5	5
3	4	4
7	7	7
6	4	6
6	6	6
4	4	4
5	4	5
6	6	6
5	3	5
6	4	4
6	7	7
4	5	6
5	5	5
6	6	6
5	5	6
5	5	5
4	4	5
4	5	5
6	6	5
5	5	7
6	5	6
5	4	7
6	4	6
5	5	5
4	5	4
6	6	6
4	5	4
5	3	3
5	5	5
6	3	5
3	4	5
5	4	5
4	5	5
5	2	5
5	5	3
7	7	7
5	6	6
7	6	6
5	5	4
4	4	4
6	6	6
4	3	4
4	7	6
4	3	2
4	4	5
6	6	5
6	5	6
5	6	5
3	4	4
6	6	6
5	6	6
4	4	5
5	5	5
2	3	2
5	6	6
7	5	6
4	6	5
4	5	6
7	6	7
6	5	5
5	6	5
5	5	5
5	5	6
7	6	7
6	5	7
6	6	6
5	5	5
2	4	6
4	4	4
6	4	6
5	5	6
5	4	4
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
R Engine error message
Error in as.vector(data) : object 'Q2' not found
Calls: array -> as.vector
Execution halted


\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
R Engine error message & 
Error in as.vector(data) : object 'Q2' not found
Calls: array -> as.vector
Execution halted

 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=83396&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]
[ROW][C]R Engine error message[/C][C]
Error in as.vector(data) : object 'Q2' not found
Calls: array -> as.vector
Execution halted

[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=83396&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=83396&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
R Engine error message
Error in as.vector(data) : object 'Q2' not found
Calls: array -> as.vector
Execution halted


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = Start of session ; par2 = Start of session ; par3 = Start of session ; par4 = Start of session ; par5 = Start of session ; par6 = Start of session ; par7 = Start of session ; par8 = Start of session ; par9 = Start of session ; par10 = Start of session ; par11 = Start of session ; par12 = Start of session ; par13 = Start of session ; par14 = Start of session ; par15 = Start of session ; par16 = Start of session ; par17 = Start of session ; par18 = Start of session ; par19 = Start of session ; par20 = Start of 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')