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 and McNemar Tests

Date of computation

Sun, 12 Dec 2010 19:14:41 +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/2010/Dec/12/t1292181183qa4t6qdm0q8hyo5.htm/, Retrieved Sun, 26 Oct 2025 20:02:46 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=108623, Retrieved Sun, 26 Oct 2025 20:02:46 +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

373

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

-     [Chi-Squared and McNemar Tests] [] [2010-11-16 14:33:59] [b98453cac15ba1066b407e146608df68]
-   PD    [Chi-Squared and McNemar Tests] [Paper: Chi-kwadra...] [2010-12-12 19:14:41] [380f6bceef280be3d93cc6fafd18141e] [Current]

Feedback Forum

Post a new message

Dataseries X:

Download CSV

Histogram

Boxplots

'A'	'B'	'B'	'B'	'A'	'A'	'B'
'A'	'B'	'B'	'B'	'A'	'A'	'B'
'A'	'B'	'A'	'B'	'A'	'A'	'A'
'A'	'B'	'B'	'B'	'A'	'A'	'A'
'A'	'B'	'B'	'B'	'A'	'A'	'A'
'A'	'B'	'B'	'B'	'A'	'A'	'B'
'A'	'B'	'B'	'B'	'A'	'A'	'A'
'A'	'B'	'B'	'B'	'A'	'A'	'A'
'A'	'A'	'B'	'B'	'A'	'A'	'B'
'A'	'B'	'B'	'B'	'A'	'A'	'B'
'A'	'B'	'B'	'B'	'A'	'A'	'B'
'A'	'B'	'A'	'B'	'A'	'A'	'A'
'A'	'B'	'B'	'B'	'A'	'A'	'B'
'A'	'B'	'B'	'B'	'A'	'A'	'B'
'A'	'B'	'B'	'B'	'A'	'A'	'A'
'B'	'B'	'A'	'B'	'A'	'A'	'A'
'A'	'B'	'B'	'B'	'A'	'A'	'B'
'A'	'B'	'B'	'B'	'B'	'B'	'B'
'A'	'B'	'A'	'B'	'A'	'A'	'B'
'A'	'B'	'A'	'B'	'A'	'A'	'A'
'A'	'A'	'B'	'B'	'A'	'A'	'B'
'A'	'B'	'B'	'B'	'A'	'A'	'B'
'A'	'B'	'B'	'B'	'A'	'A'	'B'
'A'	'B'	'B'	'B'	'A'	'A'	'B'
'A'	'B'	'A'	'B'	'A'	'A'	'B'
'A'	'B'	'A'	'B'	'A'	'A'	'A'
'A'	'B'	'B'	'B'	'A'	'A'	'B'
'A'	'B'	'A'	'B'	'A'	'A'	'B'
'A'	'B'	'B'	'B'	'A'	'A'	'A'
'A'	'A'	'A'	'A'	'A'	'A'	'B'
'A'	'B'	'A'	'B'	'A'	'A'	'B'
'A'	'B'	'B'	'B'	'A'	'A'	'B'
'A'	'B'	'A'	'B'	'A'	'A'	'A'
'A'	'A'	'B'	'B'	'A'	'A'	'B'
'A'	'B'	'B'	'B'	'A'	'A'	'A'
'B'	'A'	'B'	'B'	'A'	'A'	'B'
'A'	'B'	'A'	'B'	'A'	'A'	'B'
'A'	'B'	'B'	'B'	'A'	'A'	'B'
'A'	'B'	'A'	'B'	'A'	'A'	'A'
'A'	'B'	'B'	'B'	'A'	'A'	'A'
'A'	'B'	'A'	'B'	'B'	'A'	'B'
'A'	'B'	'A'	'B'	'A'	'A'	'A'
'A'	'B'	'B'	'B'	'A'	'A'	'B'
'A'	'B'	'B'	'B'	'A'	'A'	'A'
'A'	'B'	'B'	'B'	'A'	'A'	'B'
'A'	'B'	'B'	'B'	'A'	'A'	'B'
'A'	'B'	'B'	'B'	'A'	'A'	'A'
'A'	'B'	'A'	'B'	'A'	'A'	'B'
'A'	'A'	'B'	'B'	'A'	'A'	'B'
'A'	'B'	'B'	'B'	'A'	'A'	'B'
'A'	'B'	'B'	'B'	'A'	'A'	'A'
'B'	'B'	'B'	'B'	'A'	'A'	'A'
'A'	'B'	'A'	'A'	'A'	'A'	'B'
'A'	'B'	'B'	'B'	'A'	'A'	'B'
'A'	'B'	'B'	'B'	'A'	'A'	'B'
'A'	'B'	'B'	'B'	'A'	'A'	'A'
'B'	'B'	'B'	'B'	'A'	'A'	'A'
'B'	'A'	'B'	'B'	'B'	'A'	'A'
'A'	'B'	'B'	'B'	'A'	'A'	'A'
'A'	'B'	'B'	'B'	'A'	'A'	'B'
'A'	'B'	'B'	'B'	'A'	'A'	'B'
'A'	'B'	'B'	'B'	'A'	'A'	'A'
'B'	'B'	'B'	'B'	'A'	'A'	'A'
'A'	'B'	'B'	'B'	'A'	'A'	'B'
'A'	'B'	'B'	'B'	'A'	'A'	'A'
'A'	'B'	'B'	'B'	'A'	'A'	'B'
'B'	'B'	'B'	'B'	'A'	'A'	'B'
'A'	'B'	'B'	'B'	'A'	'A'	'A'
'A'	'B'	'B'	'B'	'A'	'A'	'A'
'A'	'B'	'B'	'B'	'A'	'A'	'A'
'A'	'B'	'A'	'B'	'A'	'A'	'A'
'A'	'A'	'A'	'B'	'A'	'A'	'A'
'A'	'B'	'A'	'B'	'A'	'A'	'B'
'A'	'B'	'B'	'B'	'A'	'A'	'A'
'A'	'B'	'B'	'B'	'A'	'A'	'B'
'A'	'B'	'B'	'B'	'A'	'A'	'B'
'A'	'B'	'B'	'B'	'A'	'A'	'B'
'A'	'B'	'B'	'B'	'A'	'A'	'B'
'A'	'B'	'B'	'B'	'A'	'A'	'A'
'A'	'B'	'B'	'B'	'A'	'A'	'B'
'A'	'B'	'A'	'B'	'A'	'A'	'A'
'A'	'B'	'B'	'B'	'A'	'A'	'B'
'A'	'B'	'A'	'B'	'A'	'A'	'A'
'A'	'B'	'B'	'B'	'A'	'A'	'A'
'A'	'B'	'B'	'B'	'A'	'A'	'A'
'A'	'B'	'A'	'B'	'A'	'A'	'B'
'A'	'B'	'B'	'B'	'A'	'A'	'A'
'A'	'B'	'B'	'B'	'A'	'A'	'A'
'A'	'B'	'B'	'B'	'A'	'A'	'B'
'A'	'B'	'A'	'B'	'A'	'A'	'A'
'A'	'B'	'B'	'B'	'A'	'A'	'A'
'A'	'B'	'A'	'B'	'A'	'A'	'A'
'A'	'A'	'B'	'B'	'A'	'A'	'A'
'A'	'B'	'A'	'B'	'A'	'A'	'B'
'A'	'B'	'B'	'B'	'A'	'A'	'B'
'A'	'B'	'B'	'B'	'A'	'A'	'B'
'A'	'B'	'A'	'B'	'A'	'A'	'A'
'A'	'B'	'B'	'B'	'A'	'A'	'A'
'A'	'B'	'A'	'B'	'A'	'A'	'A'
'A'	'B'	'A'	'B'	'A'	'A'	'A'
'A'	'B'	'B'	'B'	'A'	'A'	'A'
'A'	'B'	'B'	'B'	'A'	'A'	'B'
'A'	'B'	'B'	'B'	'A'	'A'	'A'
'A'	'B'	'B'	'B'	'A'	'A'	'A'
'A'	'B'	'A'	'B'	'A'	'A'	'A'
'A'	'B'	'B'	'B'	'A'	'A'	'A'
'B'	'B'	'B'	'B'	'B'	'A'	'A'
'A'	'B'	'A'	'B'	'A'	'A'	'A'
'A'	'B'	'B'	'B'	'A'	'A'	'B'
'A'	'B'	'A'	'B'	'A'	'A'	'A'
'B'	'B'	'B'	'B'	'A'	'A'	'B'
'A'	'B'	'B'	'B'	'A'	'A'	'B'
'A'	'B'	'B'	'B'	'A'	'A'	'A'
'A'	'B'	'A'	'B'	'A'	'A'	'B'
'A'	'B'	'B'	'B'	'B'	'B'	'A'
'A'	'B'	'B'	'B'	'A'	'A'	'B'
'B'	'B'	'B'	'B'	'A'	'A'	'A'
'A'	'B'	'B'	'B'	'A'	'A'	'B'
'A'	'B'	'B'	'B'	'A'	'A'	'A'
'A'	'A'	'B'	'B'	'A'	'A'	'B'
'A'	'B'	'A'	'B'	'A'	'A'	'B'
'A'	'B'	'B'	'B'	'A'	'A'	'A'
'A'	'B'	'B'	'B'	'A'	'A'	'A'
'A'	'B'	'B'	'B'	'A'	'A'	'B'
'A'	'B'	'B'	'B'	'A'	'A'	'A'
'A'	'B'	'B'	'B'	'A'	'A'	'B'
'A'	'B'	'B'	'B'	'A'	'A'	'A'
'A'	'B'	'B'	'B'	'A'	'A'	'A'
'A'	'B'	'B'	'B'	'A'	'A'	'B'
'A'	'B'	'B'	'B'	'A'	'A'	'B'
'A'	'B'	'A'	'B'	'A'	'A'	'B'
'A'	'B'	'B'	'B'	'A'	'A'	'B'
'A'	'B'	'B'	'B'	'A'	'B'	'B'
'A'	'B'	'B'	'B'	'A'	'A'	'A'
'A'	'B'	'B'	'B'	'A'	'A'	'B'
'A'	'B'	'B'	'B'	'A'	'B'	'A'
'A'	'B'	'A'	'B'	'A'	'A'	'A'
'A'	'B'	'A'	'A'	'A'	'B'	'B'
'A'	'A'	'B'	'B'	'A'	'A'	'B'
'A'	'B'	'A'	'B'	'A'	'A'	'A'
'A'	'A'	'B'	'B'	'A'	'A'	'B'
'A'	'B'	'A'	'B'	'A'	'A'	'B'
'A'	'B'	'B'	'B'	'A'	'A'	'A'
'A'	'B'	'B'	'B'	'B'	'B'	'B'
'A'	'B'	'B'	'B'	'A'	'A'	'B'
'A'	'B'	'B'	'B'	'A'	'A'	'A'
'A'	'A'	'A'	'B'	'A'	'A'	'A'
'A'	'B'	'A'	'B'	'A'	'A'	'A'
'A'	'B'	'B'	'B'	'A'	'B'	'A'
'A'	'B'	'A'	'B'	'A'	'A'	'B'
'A'	'B'	'B'	'B'	'A'	'A'	'B'
'A'	'B'	'B'	'B'	'A'	'A'	'B'
'A'	'B'	'A'	'B'	'A'	'A'	'B'
'A'	'A'	'A'	'A'	'A'	'A'	'A'

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	'Gwilym Jenkins' @ 72.249.127.135

\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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=108623&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=108623&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=108623&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	'Gwilym Jenkins' @ 72.249.127.135

Tabulation of Results
PS x O
	A	B
A	144	4
B	3	3

\begin{tabular}{lllllllll}
\hline
Tabulation of Results \tabularnewline
PS  x  O \tabularnewline
  & A & B \tabularnewline
A & 144 & 4 \tabularnewline
B & 3 & 3 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=108623&T=1

[TABLE]
[ROW][C]Tabulation of Results[/C][/ROW]
[ROW][C]PS  x  O[/C][/ROW]
[ROW][C] [/C][C]A[/C][C]B[/C][/ROW]
[C]A[/C][C]144[/C][C]4[/C][/ROW]
[C]B[/C][C]3[/C][C]3[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=108623&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=108623&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
PS x O
	A	B
A	144	4
B	3	3

Tabulation of Expected Results
PS x O
	A	B
A	141.27	6.73
B	5.73	0.27

\begin{tabular}{lllllllll}
\hline
Tabulation of Expected Results \tabularnewline
PS  x  O \tabularnewline
  & A & B \tabularnewline
A & 141.27 & 6.73 \tabularnewline
B & 5.73 & 0.27 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=108623&T=2

[TABLE]
[ROW][C]Tabulation of Expected Results[/C][/ROW]
[ROW][C]PS  x  O[/C][/ROW]
[ROW][C] [/C][C]A[/C][C]B[/C][/ROW]
[C]A[/C][C]141.27[/C][C]6.73[/C][/ROW]
[C]B[/C][C]5.73[/C][C]0.27[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=108623&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=108623&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
PS x O
	A	B
A	141.27	6.73
B	5.73	0.27

Statistical Results
Pearson's Chi-squared test with simulated p-value (based on 2000 replicates)
Chi Square Statistic	29.73
P value	0

\begin{tabular}{lllllllll}
\hline
Statistical Results \tabularnewline
Pearson's Chi-squared test with simulated p-value
	 (based on 2000 replicates) \tabularnewline
Chi Square Statistic & 29.73 \tabularnewline
P value & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=108623&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]Chi Square Statistic[/C][C]29.73[/C][/ROW]
[ROW][C]P value[/C][C]0[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=108623&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=108623&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)
Chi Square Statistic	29.73
P value	0

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 5 ; par2 = 1 ; par3 = Exact Pearson Chi-Squared by Simulation ;

Parameters (R input):

par1 = 5 ; par2 = 6 ; 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 != 'McNemar Chi-Squared') {
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)
a<-table.element(a, 'Chi Square Statistic', 1, TRUE)
a<-table.element(a, round(cst$statistic, digits=2), 1,FALSE)
a<-table.row.end(a)
if(!simulate.p.value){
a<-table.row.start(a)
a<-table.element(a, 'Degrees of Freedom', 1, TRUE)
a<-table.element(a, cst$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