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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

Sat, 13 Nov 2010 10:53:16 +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/13/t1289645484zrs8zu44hbjhiyg.htm/, Retrieved Thu, 02 May 2024 13:00:21 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=94337, Retrieved Thu, 02 May 2024 13:00:21 +0000

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IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

170

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

F       [Chi-Squared and McNemar Tests] [Connected - Depre...] [2010-11-13 10:53:16] [e192c8164fa91adb027f71579ac0a49a] [Current]
- R       [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [] [2011-11-11 16:31:29] [ee8c3a74bf3b349877806e9a50913c60] 

Feedback Forum

2010-11-18 22:33:21 [d41d8cd98f00b204e9800998ecf8427e] [reply] 
Te lage cel counts aanwezig --> HI en LO berekenen
2010-11-21 15:32:29 [201022de16daa1dc0c172603d7d3cd57] [reply] 
Hier is het vooral nuttig om de berekening te maken aan de hand van de HI en LO waarden omdat we een negatief verband vaststellen maar het is niet significant. Door de HI en LO waarden te testen merken we dat het enkel en alleen toe te schrijven valt aan de weinige gegevens en dat er dus geen verband is.

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Dataseries X:

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Histogram

Boxplots

'A'	'B'
'A'	'C'
'D'	'A'
'D'	'B'
'B'	'A'
'B'	'B'
'A'	'A'
'B'	'C'
'B'	'D'
'A'	'B'
'A'	'D'
'B'	'D'
'A'	'A'
'A'	'A'
'C'	'D'
'C'	'A'
'B'	'A'
'A'	'C'
'A'	'D'
'C'	'B'
'C'	'D'
'D'	'A'
'A'	'B'
'A'	'A'
'A'	'C'
'A'	'D'
'B'	'C'
'C'	'A'
'C'	'A'
'B'	'B'
'D'	'D'
'D'	'A'
'A'	'D'
'B'	'C'
'B'	'B'
'C'	'D'
'D'	'A'
'B'	'B'
'D'	'D'
'B'	'D'
'A'	'D'
'B'	'A'
'A'	'D'
'B'	'A'
'A'	'C'
'A'	'B'
'A'	'D'
'C'	'C'
'B'	'A'
'A'	'C'
'C'	'D'
'C'	'A'
'C'	'A'
'B'	'A'
'C'	'C'
'A'	'B'
'A'	'B'
'D'	'D'
'A'	'D'
'B'	'A'
'D'	'A'
'A'	'B'
'B'	'B'
'D'	'A'
'B'	'B'
'B'	'C'
'B'	'A'
'D'	'B'
'A'	'B'
'B'	'A'
'A'	'B'
'D'	'A'
'B'	'B'
'A'	'D'
'B'	'C'
'A'	'A'
'A'	'B'
'B'	'A'
'D'	'B'
'A'	'D'
'C'	'C'
'A'	'D'
'B'	'D'
'A'	'B'
'C'	'B'
'C'	'B'
'A'	'B'
'C'	'B'
'D'	'A'
'C'	'A'
'D'	'B'
'B'	'A'
'B'	'B'
'C'	'A'
'D'	'D'
'A'	'C'
'A'	'A'
'B'	'C'
'A'	'C'
'C'	'D'
'A'	'D'
'A'	'A'
'B'	'B'
'C'	'C'
'C'	'A'
'A'	'A'
'A'	'C'
'A'	'A'
'B'	'A'
'A'	'A'
'D'	'A'
'D'	'A'
'C'	'C'
'C'	'A'
'A'	'B'
'A'	'D'
'C'	'A'
'B'	'B'
'C'	'D'
'A'	'A'
'C'	'A'
'D'	'A'
'A'	'C'
'A'	'D'
'C'	'C'
'D'	'C'
'A'	'D'
'A'	'D'
'C'	'C'
'B'	'B'
'C'	'C'
'D'	'A'
'A'	'D'
'D'	'A'
'A'	'B'
'C'	'A'
'D'	'A'
'B'	'A'
'D'	'A'
'B'	'C'
'D'	'B'
'C'	'D'
'D'	'A'
'D'	'B'
'D'	'B'
'A'	'C'
'C'	'B'
'B'	'B'
'C'	'C'
'B'	'A'
'A'	'B'
'A'	'A'
'B'	'D'
'B'	'B'
'B'	'A'
'C'	'A'
'B'	'A'
'C'	'A'
'C'	'C'
'B'	'D'
'C'	'A'
'B'	'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	'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=94337&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]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=94337&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=94337&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	'RServer@AstonUniversity' @ vre.aston.ac.uk

Tabulation of Results
Connected x Depression
	A	B	C	D
A	12	15	10	17
B	17	13	7	6
C	15	5	10	7
D	16	7	1	4

\begin{tabular}{lllllllll}
\hline
Tabulation of Results \tabularnewline
Connected  x  Depression \tabularnewline
  & A & B & C & D \tabularnewline
A & 12 & 15 & 10 & 17 \tabularnewline
B & 17 & 13 & 7 & 6 \tabularnewline
C & 15 & 5 & 10 & 7 \tabularnewline
D & 16 & 7 & 1 & 4 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=94337&T=1

[TABLE]
[ROW][C]Tabulation of Results[/C][/ROW]
[ROW][C]Connected  x  Depression[/C][/ROW]
[ROW][C] [/C][C]A[/C][C]B[/C][C]C[/C][C]D[/C][/ROW]
[C]A[/C][C]12[/C][C]15[/C][C]10[/C][C]17[/C][/ROW]
[C]B[/C][C]17[/C][C]13[/C][C]7[/C][C]6[/C][/ROW]
[C]C[/C][C]15[/C][C]5[/C][C]10[/C][C]7[/C][/ROW]
[C]D[/C][C]16[/C][C]7[/C][C]1[/C][C]4[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=94337&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=94337&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
Connected x Depression
	A	B	C	D
A	12	15	10	17
B	17	13	7	6
C	15	5	10	7
D	16	7	1	4

Tabulation of Expected Results
Connected x Depression
	A	B	C	D
A	20	13.33	9.33	11.33
B	15.93	10.62	7.43	9.02
C	13.7	9.14	6.4	7.77
D	10.37	6.91	4.84	5.88

\begin{tabular}{lllllllll}
\hline
Tabulation of Expected Results \tabularnewline
Connected  x  Depression \tabularnewline
  & A & B & C & D \tabularnewline
A & 20 & 13.33 & 9.33 & 11.33 \tabularnewline
B & 15.93 & 10.62 & 7.43 & 9.02 \tabularnewline
C & 13.7 & 9.14 & 6.4 & 7.77 \tabularnewline
D & 10.37 & 6.91 & 4.84 & 5.88 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=94337&T=2

[TABLE]
[ROW][C]Tabulation of Expected Results[/C][/ROW]
[ROW][C]Connected  x  Depression[/C][/ROW]
[ROW][C] [/C][C]A[/C][C]B[/C][C]C[/C][C]D[/C][/ROW]
[C]A[/C][C]20[/C][C]13.33[/C][C]9.33[/C][C]11.33[/C][/ROW]
[C]B[/C][C]15.93[/C][C]10.62[/C][C]7.43[/C][C]9.02[/C][/ROW]
[C]C[/C][C]13.7[/C][C]9.14[/C][C]6.4[/C][C]7.77[/C][/ROW]
[C]D[/C][C]10.37[/C][C]6.91[/C][C]4.84[/C][C]5.88[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=94337&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=94337&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
Connected x Depression
	A	B	C	D
A	20	13.33	9.33	11.33
B	15.93	10.62	7.43	9.02
C	13.7	9.14	6.4	7.77
D	10.37	6.91	4.84	5.88

Statistical Results
Pearson's Chi-squared test
Chi Square Statistic	18.74
Degrees of Freedom	9
P value	0.03

\begin{tabular}{lllllllll}
\hline
Statistical Results \tabularnewline
Pearson's Chi-squared test \tabularnewline
Chi Square Statistic & 18.74 \tabularnewline
Degrees of Freedom & 9 \tabularnewline
P value & 0.03 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=94337&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]18.74[/C][/ROW]
[ROW][C]Degrees of Freedom[/C][C]9[/C][/ROW]
[ROW][C]P value[/C][C]0.03[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=94337&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=94337&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	18.74
Degrees of Freedom	9
P value	0.03

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