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Author's title

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 computationSun, 14 Dec 2014 13:38:33 +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/14/t1418564322pu0zb1hlupk8vya.htm/, Retrieved Thu, 16 May 2024 13:04:16 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=267571, Retrieved Thu, 16 May 2024 13:04:16 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact136
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [] [2014-11-02 12:08:26] [d253a55552bf9917a397def3be261e30]
- R PD  [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [] [2014-11-05 13:14:01] [d253a55552bf9917a397def3be261e30]
-    D    [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [] [2014-12-13 15:26:54] [d253a55552bf9917a397def3be261e30]
-   PD      [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [] [2014-12-13 16:10:39] [d253a55552bf9917a397def3be261e30]
-    D        [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [] [2014-12-13 16:28:37] [d253a55552bf9917a397def3be261e30]
-  M D          [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [] [2014-12-13 16:34:18] [d253a55552bf9917a397def3be261e30]
-  M D            [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [] [2014-12-13 17:39:29] [d253a55552bf9917a397def3be261e30]
-   PD              [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [] [2014-12-14 13:26:12] [d253a55552bf9917a397def3be261e30]
-   PD                  [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [] [2014-12-14 13:38:33] [940a3d9bc049bdd1effc6e8b1116301d] [Current]
-   PD                    [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [] [2014-12-14 14:05:32] [d253a55552bf9917a397def3be261e30]
-   PD                      [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [] [2014-12-14 14:14:43] [d253a55552bf9917a397def3be261e30]
-    D                        [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [] [2014-12-14 14:27:03] [d253a55552bf9917a397def3be261e30]
-    D                          [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [] [2014-12-14 14:33:41] [d253a55552bf9917a397def3be261e30]
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Dataseries X:
"B"	"G"
"A"	"NG"
"B"	"G"
"B"	"G"
"C"	"NG"
"A"	"NG"
"D"	"G"
"B"	"G"
"B"	"G"
"B"	"G"
"C"	"NG"
"B"	"G"
"D"	"NG"
"B"	"G"
"C"	"G"
"C"	"NG"
"D"	"G"
"B"	"G"
"B"	"NG"
"B"	"NG"
"D"	"G"
"D"	"NG"
"A"	"G"
"B"	"G"
"C"	"G"
"A"	"G"
"D"	"G"
"A"	"G"
"B"	"G"
"A"	"NG"
"D"	"G"
"D"	"NG"
"C"	"G"
"A"	"NG"
"A"	"NG"
"C"	"NG"
"A"	"G"
"B"	"G"
"D"	"G"
"D"	"G"
"B"	"NG"
"A"	"G"
"A"	"NG"
"A"	"G"
"A"	"G"
"A"	"G"
"C"	"G"
"A"	"G"
"D"	"G"
"C"	"NG"
"D"	"G"
"A"	"G"
"A"	"G"
"C"	"NG"
"C"	"G"
"B"	"G"
"C"	"G"
"A"	"G"
"B"	"NG"
"D"	"G"
"D"	"NG"
"A"	"G"
"A"	"NG"
"A"	"G"
"B"	"NG"
"C"	"G"
"C"	"NG"
"B"	"NG"
"C"	"G"
"C"	"G"
"C"	"G"
"C"	"G"
"A"	"G"
"C"	"G"
"B"	"NG"
"A"	"G"
"A"	"NG"
"D"	"G"
"A"	"G"
"D"	"G"
"A"	"G"
"B"	"G"
"D"	"NG"
"A"	"NG"
"B"	"G"
"D"	"G"
"B"	"G"
"B"	"NG"
"D"	"G"
"A"	"G"
"C"	"G"
"B"	"G"
"A"	"NG"
"C"	"G"
"B"	"G"
"B"	"NG"
"B"	"NG"
"B"	"NG"
"C"	"NG"
"B"	"NG"
"A"	"NG"
"A"	"G"
"A"	"G"
"B"	"NG"
"B"	"G"
"C"	"G"
"D"	"NG"
"C"	"NG"
"B"	"G"
"D"	"NG"
"D"	"G"
"D"	"NG"
"C"	"NG"
"C"	"NG"
"C"	"G"
"C"	"G"
"A"	"NG"
"B"	"G"
"B"	"G"
"A"	"G"
"A"	"G"
"C"	"G"
"A"	"G"
"A"	"G"
"A"	"G"
"C"	"G"
"C"	"G"
"A"	"G"
"C"	"G"
"D"	"G"
"B"	"G"
"D"	"G"
"A"	"G"
"A"	"G"
"A"	"G"
"C"	"G"
"C"	"G"
"D"	"G"
"C"	"G"
"C"	"G"
"A"	"G"
"B"	"NG"
"B"	"G"
"C"	"G"
"B"	"G"
"B"	"G"
"D"	"G"
"A"	"G"
"D"	"G"
"A"	"G"
"B"	"G"
"D"	"G"
"D"	"G"
"D"	"G"
"D"	"G"
"A"	"G"
"C"	"NG"
"A"	"G"
"A"	"G"
"C"	"G"
"A"	"G"
"B"	"G"
"A"	"G"
"A"	"G"
"A"	"G"
"C"	"G"
"A"	"G"
"B"	"G"
"C"	"G"
"A"	"G"
"A"	"G"
"B"	"G"
"A"	"G"
"A"	"G"
"B"	"G"
"B"	"G"
"A"	"G"
"B"	"G"
"A"	"G"
"A"	"G"
"A"	"G"
"B"	"G"
"B"	"G"
"D"	"G"
"B"	"G"
"B"	"NG"
"A"	"G"
"C"	"G"
"A"	"G"
"C"	"G"
"C"	"G"
"A"	"G"
"A"	"G"
"A"	"G"
"A"	"G"
"C"	"G"
"A"	"G"
"D"	"G"
"C"	"NG"
"D"	"G"
"C"	"G"
"A"	"G"
"A"	"G"
"D"	"G"
"D"	"G"
"B"	"G"
"A"	"G"
"B"	"G"
"C"	"G"
"B"	"G"
"B"	"G"
"B"	"G"
"D"	"NG"
"A"	"G"
"D"	"G"
"D"	"G"
"C"	"G"
"A"	"G"
"A"	"G"
"D"	"G"
"C"	"G"
"A"	"G"
"D"	"G"
"C"	"G"
"D"	"G"
"A"	"G"
"A"	"G"
"A"	"G"
"C"	"G"
"D"	"NG"
"A"	"G"
"D"	"G"
"C"	"G"
"B"	"G"
"D"	"G"
"A"	"G"
"A"	"G"
"C"	"G"
"D"	"G"
"B"	"G"
"A"	"G"
"B"	"G"
"D"	"NG"
"A"	"NG"
"B"	"G"
"D"	"G"
"D"	"G"
"D"	"G"
"A"	"G"
"C"	"G"
"B"	"G"
"A"	"G"
"A"	"G"
"A"	"G"
"A"	"G"
"C"	"G"
"B"	"G"
"B"	"G"
"C"	"G"
"A"	"G"
"C"	"G"
"A"	"G"
"D"	"G"
"A"	"G"
"A"	"G"
"B"	"NG"
"B"	"NG"
"C"	"G"
"D"	"NG"
"B"	"G"
"A"	"G"
"D"	"NG"
"B"	"G"
"C"	"G"
"A"	"G"
"C"	"G"
"D"	"G"
"A"	"G"
"A"	"G"
"D"	"G"
"A"	"G"
"D"	"G"
"A"	"G"
"B"	"G"
"A"	"G"
"B"	"G"
"A"	"NG"




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=267571&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=267571&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=267571&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
NumeracyScore x Totaalscore
GNG
A8614
B5217
C4813
D4413

\begin{tabular}{lllllllll}
\hline
Tabulation of Results \tabularnewline
NumeracyScore  x  Totaalscore \tabularnewline
  & G & NG \tabularnewline
A & 86 & 14 \tabularnewline
B & 52 & 17 \tabularnewline
C & 48 & 13 \tabularnewline
D & 44 & 13 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=267571&T=1

[TABLE]
[ROW][C]Tabulation of Results[/C][/ROW]
[ROW][C]NumeracyScore  x  Totaalscore[/C][/ROW]
[ROW][C] [/C][C]G[/C][C]NG[/C][/ROW]
[C]A[/C][C]86[/C][C]14[/C][/ROW]
[C]B[/C][C]52[/C][C]17[/C][/ROW]
[C]C[/C][C]48[/C][C]13[/C][/ROW]
[C]D[/C][C]44[/C][C]13[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=267571&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=267571&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
NumeracyScore x Totaalscore
GNG
A8614
B5217
C4813
D4413







Tabulation of Expected Results
NumeracyScore x Totaalscore
GNG
A80.1419.86
B55.313.7
C48.8912.11
D45.6811.32

\begin{tabular}{lllllllll}
\hline
Tabulation of Expected Results \tabularnewline
NumeracyScore  x  Totaalscore \tabularnewline
  & G & NG \tabularnewline
A & 80.14 & 19.86 \tabularnewline
B & 55.3 & 13.7 \tabularnewline
C & 48.89 & 12.11 \tabularnewline
D & 45.68 & 11.32 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=267571&T=2

[TABLE]
[ROW][C]Tabulation of Expected Results[/C][/ROW]
[ROW][C]NumeracyScore  x  Totaalscore[/C][/ROW]
[ROW][C] [/C][C]G[/C][C]NG[/C][/ROW]
[C]A[/C][C]80.14[/C][C]19.86[/C][/ROW]
[C]B[/C][C]55.3[/C][C]13.7[/C][/ROW]
[C]C[/C][C]48.89[/C][C]12.11[/C][/ROW]
[C]D[/C][C]45.68[/C][C]11.32[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=267571&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=267571&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
NumeracyScore x Totaalscore
GNG
A80.1419.86
B55.313.7
C48.8912.11
D45.6811.32







Statistical Results
Pearson's Chi-squared test with simulated p-value (based on 2000 replicates)
Exact Pearson Chi Square Statistic3.54
P value0.32

\begin{tabular}{lllllllll}
\hline
Statistical Results \tabularnewline
Pearson's Chi-squared test with simulated p-value
	 (based on 2000 replicates) \tabularnewline
Exact Pearson Chi Square Statistic & 3.54 \tabularnewline
P value & 0.32 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=267571&T=3

[TABLE]
[ROW][C]Statistical Results[/C][/ROW]
[ROW][C]Pearson's Chi-squared test with simulated p-value
	 (based on 2000 replicates)[/C][/ROW]
[ROW][C]Exact Pearson Chi Square Statistic[/C][C]3.54[/C][/ROW]
[ROW][C]P value[/C][C]0.32[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=267571&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=267571&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 with simulated p-value (based on 2000 replicates)
Exact Pearson Chi Square Statistic3.54
P value0.32



Parameters (Session):
par1 = 1 ; par2 = 2 ; par3 = Exact Pearson Chi-Squared by Simulation ;
Parameters (R input):
par1 = 1 ; par2 = 2 ; par3 = Exact Pearson Chi-Squared by Simulation ;
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')