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Description of Statistical Computation

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, 17 Nov 2011 09:41:31 -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/2011/Nov/17/t1321540903c5xzv4eynx02s7v.htm/, Retrieved Sat, 18 Apr 2026 08:05:49 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=144763, Retrieved Sat, 18 Apr 2026 08:05:49 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact373

Tree of Dependent Computations

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] [WS6] [2011-11-16 14:04:22] [2628f630b839c9d14ba9c3627ab0414a]
-   PD  [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [] [2011-11-16 18:11:08] [cd6e7488bdf368f344c8d209e8917833]
- R         [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [] [2011-11-17 14:41:31] [c38c32477296496b546025b407c5c736] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
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'A'	'C'	'A'	'B'	'A'
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'C'	'C'	'A'	'B'	'A'
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'A'	'A'	'A'	'B'	'D'
'A'	'C'	'A'	'D'	'A'
'A'	'C'	'A'	'A'	'D'
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'C'	'C'	'A'	'A'	'B'
'B'	'C'	'C'	'C'	'D'
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'D'	'C'	'D'	'D'	'C'
'A'	'D'	'C'	'C'	'A'
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'C'	'C'	'D'	'D'	'A'
'D'	'D'	'D'	'D'	'D'
'B'	'C'	'C'	'A'	'B'
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'B'	'C'	'C'	'A'	'A'
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'B'	'C'	'C'	'C'	'D'
'A'	'D'	'C'	'C'	'D'
'A'	'B'	'D'	'A'	'D'
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'C'	'B'	'C'	'B'	'B'
'B'	'A'	'A'	'B'	'A'
'A'	'C'	'C'	'A'	'C'
'C'	'A'	'A'	'A'	'A'
'C'	'D'	'C'	'C'	'B'
'C'	'C'	'D'	'A'	'D'
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'C'	'C'	'D'	'D'	'D'
'A'	'C'	'C'	'D'	'B'
'A'	'B'	'A'	'A'	'A'
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'A'	'B'	'C'	'B'	'D'
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'D'	'D'	'D'	'D'	'D'
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'B'	'B'	'A'	'A'	'D'
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'B'	'D'	'A'	'A'	'B'
'B'	'A'	'A'	'A'	'D'
'B'	'B'	'A'	'A'	'D'
'D'	'D'	'A'	'B'	'D'
'A'	'A'	'D'	'A'	'B'
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'A'	'B'	'D'	'D'	'B'
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'B'	'A'	'A'	'A'	'B'
'A'	'A'	'A'	'A'	'B'
'B'	'D'	'A'	'A'	'C'
'A'	'D'	'A'	'D'	'D'
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'A'	'A'	'A'	'A'	'A'
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'A'	'B'	'A'	'A'	'A'
'C'	'B'	'C'	'C'	'B'
'A'	'B'	'A'	'A'	'A'
'A'	'B'	'A'	'B'	'D'
'B'	'A'	'A'	'A'	'A'
'C'	'D'	'C'	'B'	'D'
'C'	'A'	'A'	'B'	'B'
'A'	'C'	'D'	'A'	'D'
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'A'	'A'	'A'	'B'	'A'
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'C'	'D'	'C'	'A'	'A'
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'D'	'B'	'D'	'C'	'D'
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'C'	'B'	'A'	'D'	'B'
'D'	'B'	'C'	'D'	'A'
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'C'	'D'	'A'	'A'	'D'
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'A'	'A'	'D'	'D'	'A'
'A'	'A'	'C'	'A'	'C'
'B'	'A'	'A'	'D'	'A'
'B'	'A'	'A'	'D'	'D'
'B'	'B'	'C'	'D'	'D'
'C'	'D'	'D'	'D'	'C'
'B'	'C'	'A'	'A'	'C'
'C'	'A'	'D'	'D'	'B'
'C'	'B'	'C'	'D'	'A'
'B'	'C'	'A'	'B'	'C'
'C'	'B'	'D'	'D'	'D'
'B'	'B'	'D'	'D'	'C'

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 seconds
R Server'Gwilym Jenkins' @ jenkins.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 & 0 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=144763&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]0 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=144763&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=144763&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 time0 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 1 ; par2 = 5 ; par3 = Pearson Chi-Squared ;
Parameters (R input):
par1 = 1 ; par2 = 5 ; 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')