Repository of Reproducible Computations

Free Statistics

of Irreproducible Research!

Author's title

Author

*The author of this computation has been verified*

R Software Module

rwasp_chi_squared_tests.wasp

Title produced by software

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

Date of computation

Wed, 17 Dec 2014 15:46:34 +0000

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/2014/Dec/17/t1418831199umaolgd6sh2wwar.htm/, Retrieved Thu, 21 May 2026 02:28:24 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=270429, Retrieved Thu, 21 May 2026 02:28:24 +0000

QR Codes:

Paste this QR Code to cite your computation.

Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

374

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

-     [Notched Boxplots] [] [2014-12-16 10:07:59] [92c92161c1f9605aa7c2b3c0cb9f0216]
- RMPD    [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [] [2014-12-17 15:46:34] [80e094d39007183c022472d38ca26b6f] [Current]

Feedback Forum

Post a new message

Dataseries X:

Download CSV

Histogram

Boxplots

'B'	'A'
'C'	'B'
'B'	'A'
'C'	'B'
'C	'B'
'C'	'B'
'B'	'B'
'C'	'B'
'B'	'A'
'C'	'A'
'A'	'A'
'D'	'B'
'B'	'A'
'C'	'A
'B'	'A'
'C'	'B'
'B'	'A'
'B'	'A'
'B'	'B
'B'	'A'
'B'	'A'
'C'	'B'
'B	'B
'B'	'A'
'B'	'B'
'B'	'A'
'B'	'A'
'B'	'B'
'B'	'B
'C'	'B'
'C'	'B'
'B'	'A'
'C'	'B'
'B'	'A'
'C'	'B
'C'	'B'
'C'	'B'
'C'	'B'
'B'	'A'
'C'	'B
'B'	'A'
'C'	'B'
'C'	'B'
'C	'B
'B'	'A'
'B'	'A'
'C'	'B'
'C'	'B'
'C'	'A'
'C'	'B'
'B'	'A'
'D'	'B'
'C'	'A'
'C	'A'
'C'	'B'
'D'	'B'
'C'	'B'
'C'	'B'
'B	'B'
'A'	'A'
'C'	'B'
'B'	'B'
'C	'B'
'C'	'A'
'B'	'A'
'C	'C'
'B'	'B'
'B'	'C'
'D'	'B'
'C'	'B'
'C'	'C'
'B	'B'
'C'	'A'
'C'	'B'
'C'	'B'
'B'	'A'
'B'	'A'
'C'	'B'
'B'	'A'
'C'	'B'
'C'	'A'
'B'	'A'
'B'	'A'
'B'	'A'
'D'	'C'
'D'	'D'
'C'	'B'
'A'	'A'
'A'	'A'
'A'	'A'
'A'	'A'
'A'	'A'
'C'	'B'
'B'	'A'
'D'	'B'
'B'	'B'
'B'	'B'
'B'	'A'
'B'	'B'
'B'	'B'
'B'	'B'
'A'	'A'
'B'	'B'
'B'	'B'
'C'	'B'
'C'	'B'
'B'	'A'
'D'	'C'
'A'	'A'
'B'	'A'
'A'	'A'
'A'	'A'
'B'	'A'
'B'	'A'
'B'	'A'
'B'	'A'
'B'	'B'
'B'	'B'
'B'	'B'
'B'	'B'
'A'	'A'
'A'	'C'
'B'	'A'
'A'	'A'
'A'	'A'
'A'	'A'
'B'	'A'
'A'	'A'
'D'	'A'
'A'	'A'
'A'	'A'
'B'	'B'
'A'	'A'
'D'	'C'
'A'	'A'
'A'	'B'
'A'	'A'
'B'	'B'
'B'	'B'
'D'	'C'
'A'	'A'
'B'	'B'
'A'	'B'
'B'	'B'
'A'	'B'
'A'	'A'
'B'	'A'
'B'	'B'
'B'	'A'
'A'	'A'
'B'	'A'
'B'	'A'
'B'	'A'
'A'	'A'
'B'	'A'
'A'	'B'
'C'	'C'
'C'	'D'
'B'	'B'
'C'	'B'
'B'	'B'
'B'	'A'
'A'	'A'
'B'	'B'
'B'	'A'
'B'	'B'
'B'	'B'
'C'	'B'
'A'	'B'
'C'	'C'
'B'	'B'

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=270429&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=270429&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=270429&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	1 seconds
R Server	'Gwilym Jenkins' @ jenkins.wessa.net

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):

par3 <- 'Pearson Chi-Squared'
par2 <- '2'
par1 <- '1'
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