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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

Mon, 15 Nov 2010 10:22:14 +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/t1289816580suqraswwli18wa8.htm/, Retrieved Mon, 12 May 2025 06:08:01 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=94734, Retrieved Mon, 12 May 2025 06:08:01 +0000

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IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

304

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

-     [ECEL 2008] [ECEL2008 hypothes...] [2008-06-14 21:17:24] [74be16979710d4c4e7c6647856088456]
F RMPD  [Chi-Squared and McNemar Tests] [Happiness versus ...] [2010-11-11 11:54:28] [6bc4f9343b7ea3ef5a59412d1f72bb2b]
-         [Chi-Squared and McNemar Tests] [Q1 Happiness vs. ...] [2010-11-14 21:13:30] [2843717cd92615903379c14ebee3c5df]
F   P         [Chi-Squared and McNemar Tests] [Chi-Squared Tests...] [2010-11-15 10:22:14] [b4ba846736d082ffaee409a197f454c7] [Current]
F   P           [Chi-Squared and McNemar Tests] [Chi-Squared Tests...] [2010-11-15 14:04:03] [6ca0fc48dd5333d51a15728999009c83] 
F   P           [Chi-Squared and McNemar Tests] [Chi-Squared Tests...] [2010-11-15 14:06:11] [6ca0fc48dd5333d51a15728999009c83] 
F   P           [Chi-Squared and McNemar Tests] [Chi-Squared Tests...] [2010-11-15 14:08:00] [6ca0fc48dd5333d51a15728999009c83] 
F   P           [Chi-Squared and McNemar Tests] [Chi-Squared Tests...] [2010-11-15 14:10:11] [6ca0fc48dd5333d51a15728999009c83] 
F   P           [Chi-Squared and McNemar Tests] [Chi-Squared Tests...] [2010-11-15 14:12:15] [6ca0fc48dd5333d51a15728999009c83] 

Feedback Forum

2010-11-23 15:46:21 [411b43619fc9db329bbcdbf7261c55fb] [reply] 
Hier zien we dat de cell count te laag is (sommige waarden lager dan 5), daarom gebruiken we de “Exact Pearson Chi-squared by simulation” (de student gebruikt deze niet). Bekijk http://www.freestatistics.org/blog/index.php?v=date/2010/Nov/18/t1290085715qfmthjak603yiel.htm/ voor A/B/C/D. De student blijft hier zeer vaag bij zijn antwoord. Als we hier kijken naar de p-waarde (tabel “Statistical Results”) dan zien we dat deze hoger is dan de vooropgestelde type 1 fout (5%), namelijk 19%. Bijgevolg is er hier geen verband tussen de reële en verwachte waarde. Als we vervolgens naar de grafiek kijken, dan valt het wel op dat studenten die zeer connected zijn, ook een hoge score voor happiness hebben. Deze balk is niet gekleurd, dus het kan nog wel altijd toeval zijn. Verder komen hier de extreem lage scores voor connected en Happiness meer voor dan verwacht, maar ook deze balkjes zijn niet gekleurd, dus het kan nog steeds toeval zijn. 
Aangezien de cell count (zoals eerder aangehaald) niet OK is, gaan we ook nog even de vergelijking maken op basis van de groffe indeling HI/LO. (bekijk http://www.freestatistics.org/blog/index.php?v=date/2010/Nov/20/t1290247875p54egkxi37wrw4t.htm/ berekening met “Pearson Chi-squared test”) Als we hier kijken naar de p-waarde (tabel “Statiscal Results”) dan zien we dat deze hier veel hoger ligt dan de vooropgestelde type 1 fout (5%), namelijk 78%. Hier is er een tegenovergesteld patroon tegenover de A/B/C/D klasse indeling. (mocht er hier een verband geweest zijn, dan zou het een positief verband zijn.) 

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'A'	'A'	'B'	'B'
'A'	'C'	'A'	'C'
'D'	'B'	'D'	'A'
'D'	'C'	'D'	'B'
'B'	'A'	'A'	'A'
'B'	'D'	'A'	'B'
'A'	'D'	'B'	'A'
'B'	'B'	'B'	'C'
'B'	'B'	'B'	'D'
'A'	'A'	'B'	'B'
'A'	'D'	'A'	'D'
'B'	'B'	'A'	'D'
'A'	'B'	'D'	'A'
'A'	'A'	'A'	'A'
'C'	'A'	'A'	'D'
'C'	'C'	'B'	'A'
'B'	'C'	'B'	'A'
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'A'	'A'	'B'	'D'
'C'	'C'	'A'	'B'
'C'	'C'	'A'	'D'
'D'	'D'	'D'	'A'
'A'	'A'	'B'	'B'
'A'	'A'	'D'	'A'
'A'	'C'	'A'	'C'
'A'	'C'	'D'	'D'
'B'	'B'	'A'	'C'
'C'	'A'	'B'	'A'
'C'	'C'	'B'	'A'
'B'	'C'	'D'	'B'
'D'	'D'	'A'	'D'
'D'	'C'	'C'	'A'
'A'	'D'	'A'	'D'
'B'	'A'	'B'	'C'
'B'	'D'	'B'	'B'
'C'	'C'	'A'	'D'
'D'	'D'	'D'	'A'
'B'	'C'	'B'	'B'
'D'	'D'	'A'	'D'
'B'	'C'	'C'	'D'
'A'	'C'	'B'	'D'
'B'	'C'	'A'	'A'
'A'	'C'	'A'	'D'
'B'	'C'	'D'	'A'
'A'	'D'	'D'	'C'
'A'	'B'	'D'	'B'
'A'	'A'	'B'	'D'
'C'	'B'	'B'	'C'
'B'	'A'	'A'	'A'
'A'	'C'	'C'	'C'
'C'	'A'	'A'	'D'
'C'	'D'	'B'	'A'
'C'	'C'	'D'	'A'
'B'	'A'	'D'	'A'
'C'	'C'	'D'	'C'
'A'	'C'	'B'	'B'
'A'	'B'	'A'	'B'
'D'	'B'	'B'	'D'
'A'	'B'	'D'	'D'
'B'	'B'	'D'	'A'
'D'	'D'	'D'	'A'
'A'	'B'	'C'	'B'
'B'	'B'	'D'	'B'
'D'	'B'	'B'	'A'
'B'	'D'	'B'	'B'
'B'	'A'	'D'	'C'
'B'	'B'	'D'	'A'
'D'	'D'	'D'	'B'
'A'	'A'	'B'	'B'
'B'	'A'	'B'	'A'
'A'	'B'	'B'	'B'
'D'	'A'	'A'	'A'
'B'	'A'	'B'	'B'
'A'	'A'	'B'	'D'
'B'	'D'	'C'	'C'
'A'	'D'	'D'	'A'
'A'	'A'	'A'	'B'
'B'	'D'	'C'	'A'
'D'	'D'	'B'	'B'
'A'	'D'	'C'	'D'
'C'	'B'	'B'	'C'
'A'	'A'	'A'	'D'
'B'	'A'	'B'	'D'
'A'	'C'	'A'	'B'
'C'	'B'	'B'	'B'
'C'	'D'	'B'	'B'
'A'	'A'	'B'	'B'
'C'	'B'	'B'	'B'
'D'	'C'	'C'	'A'
'C'	'C'	'D'	'A'
'D'	'B'	'A'	'B'
'B'	'C'	'C'	'A'
'B'	'A'	'B'	'B'
'C'	'D'	'B'	'A'
'D'	'D'	'C'	'D'
'A'	'B'	'A'	'C'
'A'	'B'	'D'	'A'
'B'	'D'	'B'	'C'
'A'	'B'	'A'	'C'
'C'	'B'	'B'	'D'
'A'	'B'	'A'	'D'
'A'	'B'	'D'	'A'
'B'	'A'	'A'	'B'
'C'	'D'	'D'	'C'
'C'	'A'	'B'	'A'
'A'	'C'	'D'	'A'
'A'	'B'	'A'	'C'
'A'	'A'	'B'	'A'
'B'	'B'	'D'	'A'
'A'	'A'	'D'	'A'
'D'	'B'	'B'	'A'
'D'	'C'	'D'	'A'
'C'	'A'	'C'	'C'
'C'	'C'	'B'	'A'
'A'	'B'	'A'	'B'
'A'	'C'	'A'	'D'
'C'	'A'	'B'	'A'
'B'	'A'	'B'	'B'
'C'	'B'	'B'	'D'
'A'	'B'	'B'	'A'
'C'	'A'	'D'	'A'
'D'	'D'	'B'	'A'
'A'	'A'	'B'	'C'
'A'	'A'	'B'	'D'
'C'	'D'	'B'	'C'
'D'	'C'	'C'	'C'
'A'	'C'	'A'	'D'
'A'	'A'	'A'	'D'
'C'	'B'	'A'	'C'
'B'	'C'	'B'	'B'
'C'	'C'	'C'	'C'
'D'	'C'	'D'	'A'
'A'	'A'	'B'	'D'
'D'	'D'	'B'	'A'
'A'	'A'	'B'	'B'
'C'	'D'	'A'	'A'
'D'	'D'	'D'	'A'
'B'	'B'	'B'	'A'
'D'	'B'	'D'	'A'
'B'	'B'	'B'	'C'
'D'	'B'	'C'	'B'
'C'	'B'	'B'	'D'
'D'	'B'	'A'	'A'
'D'	'B'	'B'	'B'
'D'	'D'	'B'	'B'
'A'	'D'	'A'	'C'
'C'	'D'	'A'	'B'
'B'	'B'	'D'	'B'
'C'	'D'	'D'	'C'
'B'	'C'	'D'	'A'
'A'	'A'	'A'	'B'
'A'	'A'	'C'	'A'
'B'	'A'	'A'	'D'
'B'	'A'	'D'	'B'
'B'	'B'	'D'	'A'
'C'	'D'	'C'	'A'
'B'	'C'	'C'	'A'
'C'	'A'	'B'	'A'
'C'	'B'	'A'	'C'
'B'	'C'	'C'	'D'
'C'	'B'	'D'	'A'
'B'	'B'	'C'	'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	'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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=94734&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' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=94734&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=94734&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' @ 72.249.127.135

Tabulation of Results
Happiness x Connected
	A	B	C	D
A	21	8	9	5
B	18	16	18	8
C	4	7	3	5
D	11	12	7	10

\begin{tabular}{lllllllll}
\hline
Tabulation of Results \tabularnewline
Happiness  x  Connected \tabularnewline
  & A & B & C & D \tabularnewline
A & 21 & 8 & 9 & 5 \tabularnewline
B & 18 & 16 & 18 & 8 \tabularnewline
C & 4 & 7 & 3 & 5 \tabularnewline
D & 11 & 12 & 7 & 10 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=94734&T=1

[TABLE]
[ROW][C]Tabulation of Results[/C][/ROW]
[ROW][C]Happiness  x  Connected[/C][/ROW]
[ROW][C] [/C][C]A[/C][C]B[/C][C]C[/C][C]D[/C][/ROW]
[C]A[/C][C]21[/C][C]8[/C][C]9[/C][C]5[/C][/ROW]
[C]B[/C][C]18[/C][C]16[/C][C]18[/C][C]8[/C][/ROW]
[C]C[/C][C]4[/C][C]7[/C][C]3[/C][C]5[/C][/ROW]
[C]D[/C][C]11[/C][C]12[/C][C]7[/C][C]10[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=94734&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=94734&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
Happiness x Connected
	A	B	C	D
A	21	8	9	5
B	18	16	18	8
C	4	7	3	5
D	11	12	7	10

Tabulation of Expected Results
Happiness x Connected
	A	B	C	D
A	14.33	11.41	9.82	7.43
B	20	15.93	13.7	10.37
C	6.33	5.04	4.34	3.28
D	13.33	10.62	9.14	6.91

\begin{tabular}{lllllllll}
\hline
Tabulation of Expected Results \tabularnewline
Happiness  x  Connected \tabularnewline
  & A & B & C & D \tabularnewline
A & 14.33 & 11.41 & 9.82 & 7.43 \tabularnewline
B & 20 & 15.93 & 13.7 & 10.37 \tabularnewline
C & 6.33 & 5.04 & 4.34 & 3.28 \tabularnewline
D & 13.33 & 10.62 & 9.14 & 6.91 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=94734&T=2

[TABLE]
[ROW][C]Tabulation of Expected Results[/C][/ROW]
[ROW][C]Happiness  x  Connected[/C][/ROW]
[ROW][C] [/C][C]A[/C][C]B[/C][C]C[/C][C]D[/C][/ROW]
[C]A[/C][C]14.33[/C][C]11.41[/C][C]9.82[/C][C]7.43[/C][/ROW]
[C]B[/C][C]20[/C][C]15.93[/C][C]13.7[/C][C]10.37[/C][/ROW]
[C]C[/C][C]6.33[/C][C]5.04[/C][C]4.34[/C][C]3.28[/C][/ROW]
[C]D[/C][C]13.33[/C][C]10.62[/C][C]9.14[/C][C]6.91[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=94734&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=94734&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
Happiness x Connected
	A	B	C	D
A	14.33	11.41	9.82	7.43
B	20	15.93	13.7	10.37
C	6.33	5.04	4.34	3.28
D	13.33	10.62	9.14	6.91

Statistical Results
Pearson's Chi-squared test
Chi Square Statistic	12.47
Degrees of Freedom	9
P value	0.19

\begin{tabular}{lllllllll}
\hline
Statistical Results \tabularnewline
Pearson's Chi-squared test \tabularnewline
Chi Square Statistic & 12.47 \tabularnewline
Degrees of Freedom & 9 \tabularnewline
P value & 0.19 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=94734&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]12.47[/C][/ROW]
[ROW][C]Degrees of Freedom[/C][C]9[/C][/ROW]
[ROW][C]P value[/C][C]0.19[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=94734&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=94734&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	12.47
Degrees of Freedom	9
P value	0.19

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 3 ; par2 = 1 ; par3 = Pearson Chi-Squared ;

Parameters (R input):

par1 = 3 ; par2 = 1 ; 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