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Author*The author of this computation has been verified*
R Software Modulerwasp_chi_squared_tests.wasp
Title produced by softwareChi-Squared Test, McNemar Test, and Fisher Exact Test
Date of computationWed, 17 Dec 2014 14:30:22 +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/2014/Dec/17/t1418826652ztgdq1jzphtyg0w.htm/, Retrieved Thu, 16 May 2024 08:54:12 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=270330, Retrieved Thu, 16 May 2024 08:54:12 +0000
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Dataseries X:
'D'	'C'
'C'	'D'
'C'	'C'
'D'	'C'
'A'	'D'
'D'	'D'
'C'	'C'
'B'	'B'
'D'	'B'
'A'	'C'
'C'	'D'
'C'	'C'
'A'	'D'
'B'	'D'
'A'	'C'
'A'	'D'
'B'	'C'
'C'	'C'
'B'	'D'
'C'	'D'
'A'	'D'
'A'	'D'
'A'	'B'
'A'	'D'
'A'	'B'
'B'	'C'
'B'	'C'
'B'	'A'
'D'	'B'
'A'	'D'
'A'	'C'
'D'	'D'
'D'	'C'
'A'	'D'
'B'	'D'
'C'	'D'
'C'	'D'
'C'	'D'
'B'	'D'
'C'	'C'
'C'	'D'
'B'	'C'
'D'	'D'
'D'	'C'
'C'	'B'
'C'	'D'
'D'	'C'
'A'	'C'
'D'	'C'
'A'	'D'
'A'	'C'
'C'	'C'
'A'	'C'
'C'	'D'
'D'	'C'
'A'	'C'
'B'	'B'
'B'	'D'
'C'	'D'
'C'	'B'
'C'	'D'
'C'	'B'
'B'	'D'
'B'	'C'
'D'	'D'
'D'	'A'
'D'	'D'
'D'	'D'
'A'	'C'
'C'	'B'
'C'	'B'
'D'	'C'
'D'	'C'
'C'	'C'
'C'	'D'
'B'	'B'
'C'	'D'
'C'	'C'
'C'	'A'
'D'	'B'
'D'	'C'
'A'	'B'
'D'	'D'
'B'	'D'
'C'	'D'
'A'	'B'
'B'	'C'
'A'	'D'
'D'	'D'
'C'	'C'
'B'	'C'
'A'	'C'
'B'	'D'
'B'	'B'
'C'	'C'
'D'	'D'
'A'	'D'
'D'	'D'
'D'	'D'
'A'	'D'
'C'	'D'
'B'	'C'
'D'	'B'
'A'	'D'
'B'	'D'
'A'	'D'
'D'	'D'
'A'	'D'
'C'	'B'
'C'	'D'
'C'	'B'
'B'	'D'
'B'	'D'
'C'	'D'
'A'	'C'
'B'	'C'
'D'	'D'
'D'	'C'
'C'	'A'
'B'	'A'
'C'	'A'
'D'	'C'
'D'	'A'
'B'	'A'
'B'	'A'
'C'	'B'
'D'	'A'
'A'	'B'
'C'	'D'
'B'	'C'
'D'	'A'
'C'	'B'
'A'	'A'
'C'	'B'
'D'	'B'
'B'	'A'
'B'	'B'
'A'	'B'
'D'	'C'
'A'	'C'
'C'	'A'
'B'	'D'
'A'	'A'
'C'	'A'
'D'	'C'
'C'	'A'
'A'	'B'
'B'	'A'
'C'	'A'
'B'	'A'
'D'	'A'
'B'	'B'
'C'	'C'
'C'	'B'
'C'	'B'
'D'	'A'
'A'	'D'
'C'	'A'
'C'	'A'
'D'	'A'
'A'	'B'
'B'	'B'
'A'	'A'
'B'	'A'
'B'	'B'
'D'	'C'
'D'	'A'
'B'	'A'
'D'	'A'
'B'	'A'
'D'	'A'
'D'	'C'
'B'	'A'
'B'	'B'
'B'	'B'
'B'	'C'
'A'	'A'
'D'	'A'
'B'	'B'
'C'	'A'
'C'	'A'
'B'	'A'
'D'	'B'
'D'	'A'
'C'	'B'
'C'	'D'
'D'	'B'
'D'	'B'
'C'	'A'
'A'	'B'
'D'	'C'
'C'	'A'
'B'	'A'
'A'	'B'
'B'	'C'
'B'	'C'
'C'	'D'
'A'	'A'
'C'	'D'
'B'	'A'
'D'	'B'
'D'	'B'
'B'	'B'
'D'	'B'
'C'	'B'
'A'	'A'
'D'	'A'
'C'	'B'
'B'	'B'
'C'	'A'
'A'	'C'
'C'	'B'
'B'	'D'
'D'	'C'
'B'	'C'
'C'	'A'
'B'	'A'
'C'	'C'
'B'	'B'
'A'	'C'
'A'	'B'
'A'	'A'
'D'	'C'
'D'	'A'
'D'	'B'
'A'	'A'
'C'	'C'
'C'	'A'
'A'	'A'
'A'	'D'
'C'	'C'
'C'	'A'
'C'	'A'
'D'	'B'
'B'	'A'
'A'	'A'
'A'	'A'
'C'	'A'
'A'	'A'
'C'	'A'
'A'	'B'
'B'	'C'
'B'	'D'
'C'	'D'
'B'	'C'
'A'	'B'
'D'	'C'
'A'	'C'
'A'	'B'
'A'	'C'
'B'	'B'
'D'	'A'
'C'	'A'
'D'	'C'
'A'	'B'
'D'	'A'
'D'	'B'
'A'	'A'
'A'	'B'
'A'	'C'
'C'	'C'
'C'	'B'
'D'	'B'
'D'	'B'
'B'	'A'
'A'	'D'
'A'	'D'
'B'	'C'
'D'	'D'
'D'	'C'
'A'	'C'
'D'	'D'
'B'	'B'
'C'	'A'
'D'	'B'
'D'	'B'
'A'	'A'
'A'	'A'
'A'	'C'
'A'	'B'
'B'	'C'
'B'	'B'
'B'	'A'
'B'	'B'
'D'	'B'
'B'	'A'
'D'	'D'




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Herman Ole Andreas Wold' @ wold.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 & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=270330&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=270330&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=270330&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 Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net







Tabulation of Results
Motivatie x Examenscore
ABCD
A15171819
B19181814
C22171522
D16192216

\begin{tabular}{lllllllll}
\hline
Tabulation of Results \tabularnewline
Motivatie  x  Examenscore \tabularnewline
  & A & B & C & D \tabularnewline
A & 15 & 17 & 18 & 19 \tabularnewline
B & 19 & 18 & 18 & 14 \tabularnewline
C & 22 & 17 & 15 & 22 \tabularnewline
D & 16 & 19 & 22 & 16 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=270330&T=1

[TABLE]
[ROW][C]Tabulation of Results[/C][/ROW]
[ROW][C]Motivatie  x  Examenscore[/C][/ROW]
[ROW][C] [/C][C]A[/C][C]B[/C][C]C[/C][C]D[/C][/ROW]
[C]A[/C][C]15[/C][C]17[/C][C]18[/C][C]19[/C][/ROW]
[C]B[/C][C]19[/C][C]18[/C][C]18[/C][C]14[/C][/ROW]
[C]C[/C][C]22[/C][C]17[/C][C]15[/C][C]22[/C][/ROW]
[C]D[/C][C]16[/C][C]19[/C][C]22[/C][C]16[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=270330&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=270330&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Tabulation of Results
Motivatie x Examenscore
ABCD
A15171819
B19181814
C22171522
D16192216







Tabulation of Expected Results
Motivatie x Examenscore
ABCD
A17.3117.0717.5517.07
B17.3117.0717.5517.07
C19.0718.819.3318.8
D18.3118.0618.5718.06

\begin{tabular}{lllllllll}
\hline
Tabulation of Expected Results \tabularnewline
Motivatie  x  Examenscore \tabularnewline
  & A & B & C & D \tabularnewline
A & 17.31 & 17.07 & 17.55 & 17.07 \tabularnewline
B & 17.31 & 17.07 & 17.55 & 17.07 \tabularnewline
C & 19.07 & 18.8 & 19.33 & 18.8 \tabularnewline
D & 18.31 & 18.06 & 18.57 & 18.06 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=270330&T=2

[TABLE]
[ROW][C]Tabulation of Expected Results[/C][/ROW]
[ROW][C]Motivatie  x  Examenscore[/C][/ROW]
[ROW][C] [/C][C]A[/C][C]B[/C][C]C[/C][C]D[/C][/ROW]
[C]A[/C][C]17.31[/C][C]17.07[/C][C]17.55[/C][C]17.07[/C][/ROW]
[C]B[/C][C]17.31[/C][C]17.07[/C][C]17.55[/C][C]17.07[/C][/ROW]
[C]C[/C][C]19.07[/C][C]18.8[/C][C]19.33[/C][C]18.8[/C][/ROW]
[C]D[/C][C]18.31[/C][C]18.06[/C][C]18.57[/C][C]18.06[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=270330&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=270330&T=2

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Tabulation of Expected Results
Motivatie x Examenscore
ABCD
A17.3117.0717.5517.07
B17.3117.0717.5517.07
C19.0718.819.3318.8
D18.3118.0618.5718.06







Statistical Results
Pearson's Chi-squared test
Pearson Chi Square Statistic4.67
Degrees of Freedom9
P value0.86

\begin{tabular}{lllllllll}
\hline
Statistical Results \tabularnewline
Pearson's Chi-squared test \tabularnewline
Pearson Chi Square Statistic & 4.67 \tabularnewline
Degrees of Freedom & 9 \tabularnewline
P value & 0.86 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=270330&T=3

[TABLE]
[ROW][C]Statistical Results[/C][/ROW]
[ROW][C]Pearson's Chi-squared test[/C][/ROW]
[ROW][C]Pearson Chi Square Statistic[/C][C]4.67[/C][/ROW]
[ROW][C]Degrees of Freedom[/C][C]9[/C][/ROW]
[ROW][C]P value[/C][C]0.86[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=270330&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=270330&T=3

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Statistical Results
Pearson's Chi-squared test
Pearson Chi Square Statistic4.67
Degrees of Freedom9
P value0.86



Parameters (Session):
par1 = 1 2 3 4 5 6 7 ;
Parameters (R input):
par1 = 1 ; par2 = 2 ; par3 = Pearson Chi-Squared ;
R code (references can be found in the software module):
library(vcd)
cat1 <- as.numeric(par1) #
cat2<- as.numeric(par2) #
simulate.p.value=FALSE
if (par3 == 'Exact Pearson Chi-Squared by Simulation') simulate.p.value=TRUE
x <- t(x)
(z <- array(unlist(x),dim=c(length(x[,1]),length(x[1,]))))
(table1 <- table(z[,cat1],z[,cat2]))
(V1<-dimnames(y)[[1]][cat1])
(V2<-dimnames(y)[[1]][cat2])
bitmap(file='pic1.png')
assoc(ftable(z[,cat1],z[,cat2],row.vars=1,dnn=c(V1,V2)),shade=T)
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Tabulation of Results',ncol(table1)+1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,paste(V1,' x ', V2),ncol(table1)+1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, ' ', 1,TRUE)
for(nc in 1:ncol(table1)){
a<-table.element(a, colnames(table1)[nc], 1, TRUE)
}
a<-table.row.end(a)
for(nr in 1:nrow(table1) ){
a<-table.element(a, rownames(table1)[nr], 1, TRUE)
for(nc in 1:ncol(table1) ){
a<-table.element(a, table1[nr, nc], 1, FALSE)
}
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
(cst<-chisq.test(table1, simulate.p.value=simulate.p.value) )
if (par3 == 'McNemar Chi-Squared') {
(cst <- mcnemar.test(table1))
}
if (par3=='Fisher Exact Test') {
(cst <- fisher.test(table1))
}
if ((par3 != 'McNemar Chi-Squared') & (par3 != 'Fisher Exact Test')) {
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Tabulation of Expected Results',ncol(table1)+1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,paste(V1,' x ', V2),ncol(table1)+1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, ' ', 1,TRUE)
for(nc in 1:ncol(table1)){
a<-table.element(a, colnames(table1)[nc], 1, TRUE)
}
a<-table.row.end(a)
for(nr in 1:nrow(table1) ){
a<-table.element(a, rownames(table1)[nr], 1, TRUE)
for(nc in 1:ncol(table1) ){
a<-table.element(a, round(cst$expected[nr, nc], digits=2), 1, FALSE)
}
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')
}
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Statistical Results',2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, cst$method, 2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
if (par3=='Pearson Chi-Squared') a<-table.element(a, 'Pearson Chi Square Statistic', 1, TRUE)
if (par3=='Exact Pearson Chi-Squared by Simulation') a<-table.element(a, 'Exact Pearson Chi Square Statistic', 1, TRUE)
if (par3=='McNemar Chi-Squared') a<-table.element(a, 'McNemar Chi Square Statistic', 1, TRUE)
if (par3=='Fisher Exact Test') a<-table.element(a, 'Odds Ratio', 1, TRUE)
if (par3=='Fisher Exact Test') {
if ((ncol(table1) == 2) & (nrow(table1) == 2)) {
a<-table.element(a, round(cst$estimate, digits=2), 1,FALSE)
} else {
a<-table.element(a, '--', 1,FALSE)
}
} else {
a<-table.element(a, round(cst$statistic, digits=2), 1,FALSE)
}
a<-table.row.end(a)
if(!simulate.p.value){
if(par3!='Fisher Exact Test') {
a<-table.row.start(a)
a<-table.element(a, 'Degrees of Freedom', 1, TRUE)
a<-table.element(a, cst$parameter, 1,FALSE)
a<-table.row.end(a)
}
}
a<-table.row.start(a)
a<-table.element(a, 'P value', 1, TRUE)
a<-table.element(a, round(cst$p.value, digits=2), 1,FALSE)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable2.tab')