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Author

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R Software Module

rwasp_chi_squared_tests.wasp

Title produced by software

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

Date of computation

Sat, 26 Oct 2013 08:16:02 -0400

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/2013/Oct/26/t13827898153r18b1rk1oqwbgb.htm/, Retrieved Sun, 10 Nov 2024 19:43:58 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=219619, Retrieved Sun, 10 Nov 2024 19:43:58 +0000

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Original text written by user:

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No (this computation is public)

User-defined keywords

Estimated Impact

163

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

-       [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [Chi-Square(depres...] [2013-10-26 12:16:02] [3375db05e25e337ad34b4fe57876951f] [Current]

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Dataseries X:

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Histogram

Boxplots

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

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	3 seconds
R Server	'Sir Ronald Aylmer Fisher' @ fisher.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 & 3 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=219619&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=219619&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=219619&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	3 seconds
R Server	'Sir Ronald Aylmer Fisher' @ fisher.wessa.net

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

\begin{tabular}{lllllllll}
\hline
Tabulation of Results \tabularnewline
depresson  x  connected \tabularnewline
  & A & B & C & D \tabularnewline
A & 12 & 17 & 15 & 16 \tabularnewline
B & 15 & 13 & 5 & 7 \tabularnewline
C & 10 & 7 & 10 & 1 \tabularnewline
D & 17 & 6 & 7 & 4 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=219619&T=1

[TABLE]
[ROW][C]Tabulation of Results[/C][/ROW]
[ROW][C]depresson  x  connected[/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]17[/C][C]15[/C][C]16[/C][/ROW]
[C]B[/C][C]15[/C][C]13[/C][C]5[/C][C]7[/C][/ROW]
[C]C[/C][C]10[/C][C]7[/C][C]10[/C][C]1[/C][/ROW]
[C]D[/C][C]17[/C][C]6[/C][C]7[/C][C]4[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=219619&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=219619&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
depresson x connected
	A	B	C	D
A	12	17	15	16
B	15	13	5	7
C	10	7	10	1
D	17	6	7	4

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

\begin{tabular}{lllllllll}
\hline
Tabulation of Expected Results \tabularnewline
depresson  x  connected \tabularnewline
  & A & B & C & D \tabularnewline
A & 20 & 15.93 & 13.7 & 10.37 \tabularnewline
B & 13.33 & 10.62 & 9.14 & 6.91 \tabularnewline
C & 9.33 & 7.43 & 6.4 & 4.84 \tabularnewline
D & 11.33 & 9.02 & 7.77 & 5.88 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=219619&T=2

[TABLE]
[ROW][C]Tabulation of Expected Results[/C][/ROW]
[ROW][C]depresson  x  connected[/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]15.93[/C][C]13.7[/C][C]10.37[/C][/ROW]
[C]B[/C][C]13.33[/C][C]10.62[/C][C]9.14[/C][C]6.91[/C][/ROW]
[C]C[/C][C]9.33[/C][C]7.43[/C][C]6.4[/C][C]4.84[/C][/ROW]
[C]D[/C][C]11.33[/C][C]9.02[/C][C]7.77[/C][C]5.88[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=219619&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=219619&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
depresson x connected
	A	B	C	D
A	20	15.93	13.7	10.37
B	13.33	10.62	9.14	6.91
C	9.33	7.43	6.4	4.84
D	11.33	9.02	7.77	5.88

Statistical Results
Pearson's Chi-squared test
Pearson 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
Pearson 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=219619&T=3

[TABLE]
[ROW][C]Statistical Results[/C][/ROW]
[ROW][C]Pearson's Chi-squared test[/C][/ROW]
[ROW][C]Pearson 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=219619&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=219619&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
Pearson 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=='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')

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Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code