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Author

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R Software Module

rwasp_chi_squared_tests.wasp

Title produced by software

Chi-Squared Test, McNemar Test, and Fisher Exact Test

Date of computation

Sun, 09 Dec 2012 11:20:41 -0500

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Dec/09/t1355070056cjmeada8j2vy8vb.htm/, Retrieved Sat, 20 Apr 2024 11:04:58 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=197965, Retrieved Sat, 20 Apr 2024 11:04:58 +0000

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IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

126

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] [] [2012-10-21 14:51:03] [235928acca9c96310100390b3cde8f3b]
-    D    [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [] [2012-12-09 16:20:41] [c52127b355a401c4b5ab4a80e41e35a5] [Current]
- RMPD      [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [] [2012-12-12 12:20:35] [235928acca9c96310100390b3cde8f3b] 
- RMPD      [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [] [2012-12-12 12:23:23] [235928acca9c96310100390b3cde8f3b] 
- RMPD        [Multiple Regression] [] [2012-12-12 13:15:40] [235928acca9c96310100390b3cde8f3b] 
- R  D          [Multiple Regression] [Paper- anova(test...] [2012-12-13 18:15:58] [b43eb6e2e60f3928e6b8367ff6c5b484] 
-   P             [Multiple Regression] [Paper- Multiple r...] [2012-12-14 08:29:44] [74be16979710d4c4e7c6647856088456] 
-   P               [Multiple Regression] [Multiple regressi...] [2012-12-14 08:35:54] [74be16979710d4c4e7c6647856088456] 
-                     [Multiple Regression] [Paper deel 5 Mult...] [2012-12-20 16:36:40] [8c30f4dd45e15fd207e4faf2fdf6253e] 
-  MP                   [Multiple Regression] [PAPER Multiple Re...] [2012-12-20 17:37:39] [4beecb4e29f2a257543dd9eec92fc58e] 
-                   [Multiple Regression] [Paper deel 5 Mult...] [2012-12-20 16:10:52] [8c30f4dd45e15fd207e4faf2fdf6253e] 
-                   [Multiple Regression] [Paper deel 5 Mult...] [2012-12-20 16:10:52] [8c30f4dd45e15fd207e4faf2fdf6253e] 
- R  D          [Multiple Regression] [Paper seizoenalit...] [2012-12-14 14:32:56] [d63e92c9ef4b8a0e48798c0b0ce2077f] 
- RMPD          [Notched Boxplots] [] [2012-12-16 14:29:59] [5957e05d0a2909114b19c7dddf0f27be] 
- RMPD          [Histogram] [] [2012-12-16 14:50:09] [5957e05d0a2909114b19c7dddf0f27be] 
- R PD          [Multiple Regression] [] [2012-12-16 16:42:37] [235928acca9c96310100390b3cde8f3b] 
- R PD            [Multiple Regression] [] [2012-12-16 17:13:55] [456f9f31a5baae2eb9a0b13ee35c0d42] 
-                   [Multiple Regression] [meervoudige regre...] [2012-12-16 17:20:43] [456f9f31a5baae2eb9a0b13ee35c0d42] 
-  MP                 [Multiple Regression] [] [2012-12-19 18:29:18] [a119987d898559f8af06c0628f264b38] 
-  MP                 [Multiple Regression] [] [2012-12-20 19:43:49] [a119987d898559f8af06c0628f264b38] 
-   PD              [Multiple Regression] [] [2012-12-16 18:09:28] [235928acca9c96310100390b3cde8f3b] 
-   PD              [Multiple Regression] [] [2012-12-16 18:13:43] [235928acca9c96310100390b3cde8f3b] 
- R PD          [Multiple Regression] [Multiple regressie] [2012-12-16 17:40:19] [37f59b7a972c225c3d32d27fed432050] 
- R P             [Multiple Regression] [Non-Rote Learning...] [2012-12-16 17:50:47] [37f59b7a972c225c3d32d27fed432050] 
- RMPD          [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [Paper Deel 5] [2012-12-21 11:18:22] [f069503e2a3869e5c2794f1841bac1ef] 
- RMPD          [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [Paper Deel 5] [2012-12-21 11:18:22] [f069503e2a3869e5c2794f1841bac1ef] 
- RMPD          [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [Paper Deel 5] [2012-12-21 11:22:01] [f069503e2a3869e5c2794f1841bac1ef] 
- RMPD          [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [Paper deel 5] [2012-12-21 11:39:15] [f069503e2a3869e5c2794f1841bac1ef] 
- R PD          [Multiple Regression] [] [2012-12-22 09:55:26] [8fcd082199f7dbedf65d69a953eb5ad7] 
- R PD        [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [] [2012-12-16 16:13:10] [235928acca9c96310100390b3cde8f3b] 

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Dataseries X:

Download CSV

Histogram

Boxplots

'Treatment'	'No'
'NoTreatment'	'No'
'NoTreatment'	'No'
'NoTreatment'	'No'
'NoTreatment'	'No'
'NoTreatment'	'No'
'NoTreatment'	'No'
'Treatment'	'No'
'NoTreatment'	'No'
'NoTreatment'	'No'
'Treatment'	'No'
'NoTreatment'	'No'
'NoTreatment'	'No'
'Treatment'	'No'
'NoTreatment'	'No'
'Treatment'	'No'
'Treatment'	'Yes'
'Treatment'	'No'
'NoTreatment'	'No'
'Treatment'	'Yes'
'NoTreatment'	'No'
'NoTreatment'	'No'
'NoTreatment'	'No'
'NoTreatment'	'No'
'Treatment'	'No'
'NoTreatment'	'No'
'NoTreatment'	'No'
'NoTreatment'	'No'
'NoTreatment'	'No'
'NoTreatment'	'No'
'NoTreatment'	'No'
'NoTreatment'	'No'
'NoTreatment'	'No'
'Treatment'	'No'
'NoTreatment'	'No'
'NoTreatment'	'No'
'Treatment'	'No'
'NoTreatment'	'No'
'NoTreatment'	'No'
'Treatment'	'No'
'NoTreatment'	'Yes'
'NoTreatment'	'No'
'NoTreatment'	'No'
'Treatment'	'No'
'NoTreatment'	'No'
'NoTreatment'	'No'
'NoTreatment'	'No'
'NoTreatment'	'No'
'NoTreatment'	'No'
'NoTreatment'	'No'
'Treatment'	'No'
'Treatment'	'Yes'
'NoTreatment'	'No'
'NoTreatment'	'Yes'
'NoTreatment'	'No'
'Treatment'	'No'
'NoTreatment'	'No'
'NoTreatment'	'No'
'NoTreatment'	'No'
'Treatment'	'Yes'
'Treatment'	'No'
'NoTreatment'	'No'
'NoTreatment'	'No'
'Treatment'	'No'
'NoTreatment'	'No'
'NoTreatment'	'No'
'Treatment'	'Yes'
'NoTreatment'	'No'
'NoTreatment'	'No'
'NoTreatment'	'No'
'NoTreatment'	'No'
'NoTreatment'	'No'
'NoTreatment'	'No'
'NoTreatment'	'No'
'NoTreatment'	'No'
'Treatment'	'No'
'NoTreatment'	'No'
'NoTreatment'	'No'
'Treatment'	'Yes'
'Treatment'	'No'
'NoTreatment'	'No'
'NoTreatment'	'No'
'NoTreatment'	'No'
'NoTreatment'	'Yes'
'NoTreatment'	'No'
'NoTreatment'	'No'
NA	'No'
NA	'No'
NA	'No'
NA	'No'
NA	'No'
NA	'No'
NA	'No'
NA	'No'
NA	'No'
NA	'No'
NA	'No'
NA	'No'
NA	'No'
NA	'No'
NA	'No'
NA	'No'
NA	'No'
NA	'No'
NA	'No'
NA	'No'
NA	'No'
NA	'No'
NA	'No'
NA	'No'
NA	'No'
NA	'No'
NA	'No'
NA	'No'
NA	'No'
NA	'No'
NA	'No'
NA	'No'
NA	'No'
NA	'No'
NA	'No'
NA	'No'
NA	'No'
NA	'No'
NA	'No'
NA	'No'
NA	'No'
NA	'No'
NA	'No'
NA	'No'
NA	'No'
NA	'No'
NA	'No'
NA	'No'
NA	'No'
NA	'No'
NA	'No'
NA	'No'
NA	'No'
NA	'No'
NA	'Yes'
NA	'No'
NA	'No'
NA	'No'
NA	'No'
NA	'No'
NA	'No'
NA	'No'
NA	'No'
NA	'No'
NA	'No'
NA	'Yes'
NA	'Yes'
NA	'No'

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 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 & 2 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=197965&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=197965&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=197965&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 Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 seconds
R Server	'Herman Ole Andreas Wold' @ wold.wessa.net

Tabulation of Results
T40 x CorrectAnalysis
	No	Yes
NoTreatment	60	3
Treatment	17	6

\begin{tabular}{lllllllll}
\hline
Tabulation of Results \tabularnewline
T40  x  CorrectAnalysis \tabularnewline
  & No & Yes \tabularnewline
NoTreatment & 60 & 3 \tabularnewline
Treatment & 17 & 6 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=197965&T=1

[TABLE]
[ROW][C]Tabulation of Results[/C][/ROW]
[ROW][C]T40  x  CorrectAnalysis[/C][/ROW]
[ROW][C] [/C][C]No[/C][C]Yes[/C][/ROW]
[C]NoTreatment[/C][C]60[/C][C]3[/C][/ROW]
[C]Treatment[/C][C]17[/C][C]6[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=197965&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=197965&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
T40 x CorrectAnalysis
	No	Yes
NoTreatment	60	3
Treatment	17	6

Tabulation of Expected Results
T40 x CorrectAnalysis
	No	Yes
NoTreatment	56.41	6.59
Treatment	20.59	2.41

\begin{tabular}{lllllllll}
\hline
Tabulation of Expected Results \tabularnewline
T40  x  CorrectAnalysis \tabularnewline
  & No & Yes \tabularnewline
NoTreatment & 56.41 & 6.59 \tabularnewline
Treatment & 20.59 & 2.41 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=197965&T=2

[TABLE]
[ROW][C]Tabulation of Expected Results[/C][/ROW]
[ROW][C]T40  x  CorrectAnalysis[/C][/ROW]
[ROW][C] [/C][C]No[/C][C]Yes[/C][/ROW]
[C]NoTreatment[/C][C]56.41[/C][C]6.59[/C][/ROW]
[C]Treatment[/C][C]20.59[/C][C]2.41[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=197965&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=197965&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
T40 x CorrectAnalysis
	No	Yes
NoTreatment	56.41	6.59
Treatment	20.59	2.41

Statistical Results
Pearson's Chi-squared test with simulated p-value (based on 2000 replicates)
Exact Pearson Chi Square Statistic	8.18
P value	0.01

\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 & 8.18 \tabularnewline
P value & 0.01 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=197965&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]8.18[/C][/ROW]
[ROW][C]P value[/C][C]0.01[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=197965&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=197965&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 Statistic	8.18
P value	0.01

Figure 1

PNG link

Postscript link

PDF link

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')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code