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Author

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R Software Module

rwasp_chi_squared_tests.wasp

Title produced by software

Chi-Squared and McNemar Tests

Date of computation

Mon, 15 Nov 2010 18:45:24 +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/Nov/15/t1289846615mbwkbdhdz1uagop.htm/, Retrieved Mon, 03 Nov 2025 03:25:18 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=94999, Retrieved Mon, 03 Nov 2025 03:25:18 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

359

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

-     [Univariate Explorative Data Analysis] [Turnover company A] [2010-11-02 11:53:41] [b98453cac15ba1066b407e146608df68]
- RMPD  [Chi-Squared and McNemar Tests] [Chi-Squared 1. Ha...] [2010-11-14 15:50:44] [19f9551d4d95750ef21e9f3cf8fe2131]
F    D      [Chi-Squared and McNemar Tests] [WS6 - 4] [2010-11-15 18:45:24] [66b4703b90a9701067ac75b10c82aca9] [Current]

Feedback Forum

2010-11-20 08:23:40 [] [reply] 
De p-value is hier heel groot. Dus we kunnen niet spreken van een verband. De verschillen die we vaststellen zijn volledig toevallig.

Post a new message

Dataseries X:

Download CSV

Histogram

Boxplots

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

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	'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=94999&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=94999&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=94999&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	'George Udny Yule' @ 72.249.76.132

Tabulation of Results
Separate x Depression
	A	B	C	D
A	15	13	5	11
B	16	12	10	8
C	16	7	6	9
D	13	8	7	6

\begin{tabular}{lllllllll}
\hline
Tabulation of Results \tabularnewline
Separate  x  Depression \tabularnewline
  & A & B & C & D \tabularnewline
A & 15 & 13 & 5 & 11 \tabularnewline
B & 16 & 12 & 10 & 8 \tabularnewline
C & 16 & 7 & 6 & 9 \tabularnewline
D & 13 & 8 & 7 & 6 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=94999&T=1

[TABLE]
[ROW][C]Tabulation of Results[/C][/ROW]
[ROW][C]Separate  x  Depression[/C][/ROW]
[ROW][C] [/C][C]A[/C][C]B[/C][C]C[/C][C]D[/C][/ROW]
[C]A[/C][C]15[/C][C]13[/C][C]5[/C][C]11[/C][/ROW]
[C]B[/C][C]16[/C][C]12[/C][C]10[/C][C]8[/C][/ROW]
[C]C[/C][C]16[/C][C]7[/C][C]6[/C][C]9[/C][/ROW]
[C]D[/C][C]13[/C][C]8[/C][C]7[/C][C]6[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=94999&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=94999&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
Separate x Depression
	A	B	C	D
A	15	13	5	11
B	16	12	10	8
C	16	7	6	9
D	13	8	7	6

Tabulation of Expected Results
Separate x Depression
	A	B	C	D
A	16.3	10.86	7.6	9.23
B	17.04	11.36	7.95	9.65
C	14.07	9.38	6.57	7.98
D	12.59	8.4	5.88	7.14

\begin{tabular}{lllllllll}
\hline
Tabulation of Expected Results \tabularnewline
Separate  x  Depression \tabularnewline
  & A & B & C & D \tabularnewline
A & 16.3 & 10.86 & 7.6 & 9.23 \tabularnewline
B & 17.04 & 11.36 & 7.95 & 9.65 \tabularnewline
C & 14.07 & 9.38 & 6.57 & 7.98 \tabularnewline
D & 12.59 & 8.4 & 5.88 & 7.14 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=94999&T=2

[TABLE]
[ROW][C]Tabulation of Expected Results[/C][/ROW]
[ROW][C]Separate  x  Depression[/C][/ROW]
[ROW][C] [/C][C]A[/C][C]B[/C][C]C[/C][C]D[/C][/ROW]
[C]A[/C][C]16.3[/C][C]10.86[/C][C]7.6[/C][C]9.23[/C][/ROW]
[C]B[/C][C]17.04[/C][C]11.36[/C][C]7.95[/C][C]9.65[/C][/ROW]
[C]C[/C][C]14.07[/C][C]9.38[/C][C]6.57[/C][C]7.98[/C][/ROW]
[C]D[/C][C]12.59[/C][C]8.4[/C][C]5.88[/C][C]7.14[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=94999&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=94999&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
Separate x Depression
	A	B	C	D
A	16.3	10.86	7.6	9.23
B	17.04	11.36	7.95	9.65
C	14.07	9.38	6.57	7.98
D	12.59	8.4	5.88	7.14

Statistical Results
Pearson's Chi-squared test
Chi Square Statistic	4.14
Degrees of Freedom	9
P value	0.9

\begin{tabular}{lllllllll}
\hline
Statistical Results \tabularnewline
Pearson's Chi-squared test \tabularnewline
Chi Square Statistic & 4.14 \tabularnewline
Degrees of Freedom & 9 \tabularnewline
P value & 0.9 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=94999&T=3

[TABLE]
[ROW][C]Statistical Results[/C][/ROW]
[ROW][C]Pearson's Chi-squared test[/C][/ROW]
[ROW][C]Chi Square Statistic[/C][C]4.14[/C][/ROW]
[ROW][C]Degrees of Freedom[/C][C]9[/C][/ROW]
[ROW][C]P value[/C][C]0.9[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=94999&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=94999&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
Chi Square Statistic	4.14
Degrees of Freedom	9
P value	0.9

Figure 1

PNG link

Postscript link

PDF link

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 != '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