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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 Test, McNemar Test, and Fisher Exact Test

Date of computation

Tue, 18 Dec 2012 11:04:40 -0500

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/2012/Dec/18/t1355846701graqiazxmg6w2sh.htm/, Retrieved Fri, 01 Nov 2024 01:02:17 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=201472, Retrieved Fri, 01 Nov 2024 01:02:17 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

196

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] [Paper deel 5 RFC CHI] [2012-12-18 16:04:40] [951f0bbf00246852608bf7fcd40f4937] [Current]
- R P     [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [Paper deel 5 RFC CHI] [2012-12-18 16:20:42] [48f852fd41a4fa7d41d1802199989991] 
- R P     [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [Paper deel 5 RFC CHI] [2012-12-18 16:20:42] [48f852fd41a4fa7d41d1802199989991] 
-    D      [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [Paper deel 5 RFC CHI] [2012-12-18 16:34:32] [48f852fd41a4fa7d41d1802199989991] 
-             [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [Paper deel 5 RFC CHI] [2012-12-18 16:38:10] [48f852fd41a4fa7d41d1802199989991] 
- RMPD          [Multiple Regression] [Paper deel 5 RFC ...] [2012-12-18 17:21:02] [48f852fd41a4fa7d41d1802199989991] 
- R P             [Multiple Regression] [Paper deel 5 RFC ...] [2012-12-19 22:58:29] [48f852fd41a4fa7d41d1802199989991] 
-    D          [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [Paper deel 5 RFC CHI] [2012-12-21 01:20:43] [74be16979710d4c4e7c6647856088456] 
- RMPD        [Two-Way ANOVA] [deel 5 paper RFC ...] [2012-12-18 17:02:46] [48f852fd41a4fa7d41d1802199989991] 
- RM            [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [deel 5 paper RFC ...] [2012-12-18 17:10:40] [48f852fd41a4fa7d41d1802199989991] 
- R PD            [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [paper deel 5 RFC ...] [2012-12-19 21:18:21] [48f852fd41a4fa7d41d1802199989991] 
- RMPD            [Two-Way ANOVA] [paper deel 5 RFC ...] [2012-12-19 21:49:38] [48f852fd41a4fa7d41d1802199989991] 
- RM D              [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [deel 5 paper RFC ...] [2012-12-19 21:55:27] [48f852fd41a4fa7d41d1802199989991] 

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Dataseries X:

Download CSV

Histogram

Boxplots

'Treatment'	'NoTreatment'
'NoTreatment'	'Treatment'
'NoTreatment'	'NoTreatment'
'NoTreatment'	'NoTreatment'
'NoTreatment'	'NoTreatment'
'NoTreatment'	'Treatment'
'NoTreatment'	'NoTreatment'
'Treatment'	'NoTreatment'
'NoTreatment'	'Treatment'
'NoTreatment'	'NoTreatment'
'Treatment'	'Treatment'
'NoTreatment'	'NoTreatment'
'NoTreatment'	'NoTreatment'
'Treatment'	'NoTreatment'
'NoTreatment'	'NoTreatment'
'Treatment'	'NoTreatment'
'Treatment'	'NoTreatment'
'Treatment'	'NoTreatment'
'NoTreatment'	'Treatment'
'Treatment'	'NoTreatment'
'NoTreatment'	'NoTreatment'
'NoTreatment'	'Treatment'
'NoTreatment'	'NoTreatment'
'NoTreatment'	'NoTreatment'
'Treatment'	'Treatment'
'NoTreatment'	'Treatment'
'NoTreatment'	'NoTreatment'
'NoTreatment'	'Treatment'
'NoTreatment'	'NoTreatment'
'NoTreatment'	'NoTreatment'
'NoTreatment'	'NoTreatment'
'NoTreatment'	'NoTreatment'
'NoTreatment'	'NoTreatment'
'Treatment'	'NoTreatment'
'NoTreatment'	'NoTreatment'
'NoTreatment'	'NoTreatment'
'Treatment'	'Treatment'
'NoTreatment'	'NoTreatment'
'NoTreatment'	'NoTreatment'
'Treatment'	'Treatment'
'NoTreatment'	'NoTreatment'
'NoTreatment'	'NoTreatment'
'NoTreatment'	'NoTreatment'
'Treatment'	'NoTreatment'
'NoTreatment'	'NoTreatment'
'NoTreatment'	'NoTreatment'
'NoTreatment'	'NoTreatment'
'NoTreatment'	'NoTreatment'
'NoTreatment'	'NoTreatment'
'NoTreatment'	'NoTreatment'
'Treatment'	'NoTreatment'
'Treatment'	'Treatment'
'NoTreatment'	'Treatment'
'NoTreatment'	'NoTreatment'
'NoTreatment'	'NoTreatment'
'Treatment'	'Treatment'
'NoTreatment'	'NoTreatment'
'NoTreatment'	'NoTreatment'
'NoTreatment'	'NoTreatment'
'Treatment'	'Treatment'
'Treatment'	'Treatment'
'NoTreatment'	'Treatment'
'NoTreatment'	'NoTreatment'
'Treatment'	'NoTreatment'
'NoTreatment'	'NoTreatment'
'NoTreatment'	'NoTreatment'
'Treatment'	'NoTreatment'
'NoTreatment'	'NoTreatment'
'NoTreatment'	
'NoTreatment'	
'NoTreatment'	
'NoTreatment'	
'NoTreatment'	
'NoTreatment'	
'NoTreatment'	
'Treatment'	
'NoTreatment'	
'NoTreatment'	
'Treatment'	
'Treatment'	
'NoTreatment'	
'NoTreatment'	
'NoTreatment'	
'NoTreatment'	
'NoTreatment'	
'NoTreatment'

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	'Herman Ole Andreas Wold' @ wold.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 & 2 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=201472&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=201472&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=201472&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	'Herman Ole Andreas Wold' @ wold.wessa.net

Tabulation of Results
T40 x T20
	NoTreatment	Treatment
NoTreatment	50	13
Treatment	14	9

\begin{tabular}{lllllllll}
\hline
Tabulation of Results \tabularnewline
T40  x  T20 \tabularnewline
  & NoTreatment & Treatment \tabularnewline
NoTreatment & 50 & 13 \tabularnewline
Treatment & 14 & 9 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=201472&T=1

[TABLE]
[ROW][C]Tabulation of Results[/C][/ROW]
[ROW][C]T40  x  T20[/C][/ROW]
[ROW][C] [/C][C]NoTreatment[/C][C]Treatment[/C][/ROW]
[C]NoTreatment[/C][C]50[/C][C]13[/C][/ROW]
[C]Treatment[/C][C]14[/C][C]9[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=201472&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=201472&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
T40 x T20
	NoTreatment	Treatment
NoTreatment	50	13
Treatment	14	9

Tabulation of Expected Results
T40 x T20
	NoTreatment	Treatment
NoTreatment	46.88	16.12
Treatment	17.12	5.88

\begin{tabular}{lllllllll}
\hline
Tabulation of Expected Results \tabularnewline
T40  x  T20 \tabularnewline
  & NoTreatment & Treatment \tabularnewline
NoTreatment & 46.88 & 16.12 \tabularnewline
Treatment & 17.12 & 5.88 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=201472&T=2

[TABLE]
[ROW][C]Tabulation of Expected Results[/C][/ROW]
[ROW][C]T40  x  T20[/C][/ROW]
[ROW][C] [/C][C]NoTreatment[/C][C]Treatment[/C][/ROW]
[C]NoTreatment[/C][C]46.88[/C][C]16.12[/C][/ROW]
[C]Treatment[/C][C]17.12[/C][C]5.88[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=201472&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=201472&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
T40 x T20
	NoTreatment	Treatment
NoTreatment	46.88	16.12
Treatment	17.12	5.88

Statistical Results
Pearson's Chi-squared test with Yates' continuity correction
Pearson Chi Square Statistic	2.13
Degrees of Freedom	1
P value	0.14

\begin{tabular}{lllllllll}
\hline
Statistical Results \tabularnewline
Pearson's Chi-squared test with Yates' continuity correction \tabularnewline
Pearson Chi Square Statistic & 2.13 \tabularnewline
Degrees of Freedom & 1 \tabularnewline
P value & 0.14 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=201472&T=3

[TABLE]
[ROW][C]Statistical Results[/C][/ROW]
[ROW][C]Pearson's Chi-squared test with Yates' continuity correction[/C][/ROW]
[ROW][C]Pearson Chi Square Statistic[/C][C]2.13[/C][/ROW]
[ROW][C]Degrees of Freedom[/C][C]1[/C][/ROW]
[ROW][C]P value[/C][C]0.14[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=201472&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=201472&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 Yates' continuity correction
Pearson Chi Square Statistic	2.13
Degrees of Freedom	1
P value	0.14

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')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code