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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 computationThu, 20 Dec 2012 14:43:48 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Dec/20/t1356032716pghgz7hvusb6yif.htm/, Retrieved Fri, 29 Mar 2024 10:12:12 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=203065, Retrieved Fri, 29 Mar 2024 10:12:12 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact133
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] [Paper_D5_RFC_20_U...] [2012-12-20 18:47:36] [0ee39c4db763367d76b81eeea0021391]
- R  D    [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [Paper_D5_RFC_20_U...] [2012-12-20 19:43:48] [ddb0733c84f7879813cb9fbdaebb43ad] [Current]
-    D      [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [Paper_D5_RFC_40_U...] [2012-12-20 19:51:09] [0ee39c4db763367d76b81eeea0021391]
-    D        [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [Paper_D5_RFC_20_U...] [2012-12-20 20:05:46] [0ee39c4db763367d76b81eeea0021391]
-    D          [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [Paper_D5_RFC_40_C...] [2012-12-20 20:12:49] [0ee39c4db763367d76b81eeea0021391]
-    D            [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [Paper_D5_RFC_20_C...] [2012-12-20 20:20:36] [0ee39c4db763367d76b81eeea0021391]
-    D              [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [Paper_D5_RFC_40_U...] [2012-12-20 20:24:29] [0ee39c4db763367d76b81eeea0021391]
-    D                [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [Paper_D5_RFC_20_U...] [2012-12-20 20:29:55] [0ee39c4db763367d76b81eeea0021391]
-                   [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [Paper_D5_RFC_20_C...] [2012-12-20 20:34:23] [0ee39c4db763367d76b81eeea0021391]
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Dataseries X:
'Yes'	'Good'
'Yes'	'Good'
'No'	'Bad'
'No'	'Good'
'No'	'Bad'
'Yes'	'Bad'
'Yes'	'Bad'
'No'	'Bad'
'No'	'Bad'
'No'	'Good'
'Yes'	'Bad'
'No'	'Bad'
'Yes'	'Bad'
'No'	'Good'
'Yes'	'Good'
'No'	'Bad'
'No'	'Bad'
'No'	'Bad'
'No'	'Bad'
'No'	'Bad'
'No'	'Bad'
'Yes'	'Bad'
'No'	'Bad'
'Yes'	'Bad'
'Yes'	'Bad'
'No'	'Bad'
'No'	'Bad'
'Yes'	'Bad'
'Yes'	'Bad'
'No'	'Bad'
'Yes'	'Good'
'Yes'	'Bad'
'No'	'Bad'
'No'	'Good'
'Yes'	'Bad'
'No'	'Bad'
'Yes'	'Bad'
'No'	'Good'
'No'	'Good'
'No'	'Bad'
'No'	'Bad'
'No'	'Good'
'No'	'Bad'
'No'	'Good'
'Yes'	'Bad'
'Yes'	'Good'
'Yes'	'Bad'
'No'	'Bad'
'No'	'Bad'
'No'	'Bad'
'Yes'	'Good'
'Yes'	'Good'
'No'	'Bad'
'No'	'Bad'
'No'	'Good'
'No'	'Good'
'Yes'	'Bad'
'No'	'Good'
'No'	'Bad'
'No'	'Good'
'No'	'Bad'
'No'	'Bad'
'Yes'	'Bad'
'No'	'Good'
'No'	'Good'
'Yes'	'Bad'
'Yes'	'Bad'
'Yes'	'Bad'




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gertrude Mary Cox' @ cox.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 & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=203065&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=203065&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=203065&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 time2 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net







Tabulation of Results
UseLimit x Outcome
BadGood
No2814
Yes197

\begin{tabular}{lllllllll}
\hline
Tabulation of Results \tabularnewline
UseLimit  x  Outcome \tabularnewline
  & Bad & Good \tabularnewline
No & 28 & 14 \tabularnewline
Yes & 19 & 7 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=203065&T=1

[TABLE]
[ROW][C]Tabulation of Results[/C][/ROW]
[ROW][C]UseLimit  x  Outcome[/C][/ROW]
[ROW][C] [/C][C]Bad[/C][C]Good[/C][/ROW]
[C]No[/C][C]28[/C][C]14[/C][/ROW]
[C]Yes[/C][C]19[/C][C]7[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=203065&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=203065&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
UseLimit x Outcome
BadGood
No2814
Yes197







Tabulation of Expected Results
UseLimit x Outcome
BadGood
No29.0312.97
Yes17.978.03

\begin{tabular}{lllllllll}
\hline
Tabulation of Expected Results \tabularnewline
UseLimit  x  Outcome \tabularnewline
  & Bad & Good \tabularnewline
No & 29.03 & 12.97 \tabularnewline
Yes & 17.97 & 8.03 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=203065&T=2

[TABLE]
[ROW][C]Tabulation of Expected Results[/C][/ROW]
[ROW][C]UseLimit  x  Outcome[/C][/ROW]
[ROW][C] [/C][C]Bad[/C][C]Good[/C][/ROW]
[C]No[/C][C]29.03[/C][C]12.97[/C][/ROW]
[C]Yes[/C][C]17.97[/C][C]8.03[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=203065&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=203065&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
UseLimit x Outcome
BadGood
No29.0312.97
Yes17.978.03







Statistical Results
Pearson's Chi-squared test with Yates' continuity correction
Pearson Chi Square Statistic0.08
Degrees of Freedom1
P value0.77

\begin{tabular}{lllllllll}
\hline
Statistical Results \tabularnewline
Pearson's Chi-squared test with Yates' continuity correction \tabularnewline
Pearson Chi Square Statistic & 0.08 \tabularnewline
Degrees of Freedom & 1 \tabularnewline
P value & 0.77 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=203065&T=3

[TABLE]
[ROW][C]Statistical Results[/C][/ROW]
[ROW][C]Pearson's Chi-squared test with Yates' continuity correction[/C][/ROW]
[ROW][C]Pearson Chi Square Statistic[/C][C]0.08[/C][/ROW]
[ROW][C]Degrees of Freedom[/C][C]1[/C][/ROW]
[ROW][C]P value[/C][C]0.77[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=203065&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=203065&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 Yates' continuity correction
Pearson Chi Square Statistic0.08
Degrees of Freedom1
P value0.77



Parameters (Session):
par1 = 1 ; par2 = 2 ; par3 = Pearson Chi-Squared ;
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')