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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_chi_squared_tests.wasp
Title produced by softwareChi-Squared Test, McNemar Test, and Fisher Exact Test
Date of computationMon, 10 Dec 2012 10:11:14 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Dec/10/t13551523749kdtw977vbpsuwf.htm/, Retrieved Fri, 29 Mar 2024 14:52:17 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=198184, Retrieved Fri, 29 Mar 2024 14:52:17 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact88
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Chi-Squared and McNemar Tests] [] [2010-11-16 14:33:59] [b98453cac15ba1066b407e146608df68]
- R PD    [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [] [2012-12-10 15:11:14] [54fc54845b7758f1604e617c5518fca2] [Current]
- RMPD      [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [] [2012-12-11 12:02:33] [717eeab792c979f6e7c3b92a165ad49e]
- RMPD      [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [] [2012-12-11 12:06:34] [717eeab792c979f6e7c3b92a165ad49e]
- RMPD      [Multiple Regression] [] [2012-12-11 12:14:42] [717eeab792c979f6e7c3b92a165ad49e]
- RMPD      [Multiple Regression] [] [2012-12-11 12:16:20] [717eeab792c979f6e7c3b92a165ad49e]
- R         [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [] [2012-12-12 20:09:42] [74be16979710d4c4e7c6647856088456]
- R  D      [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [t 20] [2012-12-15 13:51:15] [bb9c1d1bc63af35ef3129489f33fa7df]
- R  D        [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [] [2012-12-15 13:54:18] [bb9c1d1bc63af35ef3129489f33fa7df]
- R  D        [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [t 40] [2012-12-15 13:56:24] [bb9c1d1bc63af35ef3129489f33fa7df]
-    D        [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [] [2012-12-15 13:57:41] [bb9c1d1bc63af35ef3129489f33fa7df]
- R P           [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [chi kwadraat t 40] [2012-12-17 08:53:47] [74be16979710d4c4e7c6647856088456]
- R               [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [T40 chi-squared test] [2012-12-19 14:54:47] [5b4f808c567607ef83d7f50fc3056dec]
-   P               [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [chi chi] [2012-12-21 09:45:10] [9f6ab6bc6461b94fa20254844eaa346d]
-                   [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [by simulation] [2012-12-21 09:48:58] [9f6ab6bc6461b94fa20254844eaa346d]
- RMPD        [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [1 way anova] [2012-12-15 14:10:59] [bb9c1d1bc63af35ef3129489f33fa7df]
- R  D          [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [] [2012-12-15 14:20:40] [bb9c1d1bc63af35ef3129489f33fa7df]
-   P             [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [anova 1] [2012-12-18 19:20:15] [74be16979710d4c4e7c6647856088456]
- R                 [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [] [2012-12-19 15:22:19] [5b4f808c567607ef83d7f50fc3056dec]
- R                   [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [one-way-anova] [2012-12-21 10:06:14] [9f6ab6bc6461b94fa20254844eaa346d]
-    D                [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [one way anova] [2012-12-21 10:20:00] [9f6ab6bc6461b94fa20254844eaa346d]
- RMPD                [Multiple Regression] [mult. regr] [2012-12-21 10:26:08] [9f6ab6bc6461b94fa20254844eaa346d]
- RMPD                [Multiple Regression] [multipl regr] [2012-12-21 10:34:55] [9f6ab6bc6461b94fa20254844eaa346d]
-                     [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [Anova Paper deel 5] [2012-12-21 23:19:14] [0be811ead56a6216036e70fa99791344]
-    D                [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [Anova Paper deel ...] [2012-12-21 23:25:48] [0be811ead56a6216036e70fa99791344]
- RM            [Multiple Regression] [t 40] [2012-12-15 14:25:12] [bb9c1d1bc63af35ef3129489f33fa7df]
- R  D            [Multiple Regression] [t 20] [2012-12-15 14:31:28] [bb9c1d1bc63af35ef3129489f33fa7df]
- R P               [Multiple Regression] [T20] [2012-12-19 16:23:16] [5b4f808c567607ef83d7f50fc3056dec]
-   P                 [Multiple Regression] [Multiple Regression] [2012-12-21 23:32:56] [0be811ead56a6216036e70fa99791344]
-   PD                [Multiple Regression] [Multiple Regressi...] [2012-12-21 23:41:30] [0be811ead56a6216036e70fa99791344]
-   P             [Multiple Regression] [T40] [2012-12-19 15:50:50] [5b4f808c567607ef83d7f50fc3056dec]
- R P           [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [anova 2] [2012-12-18 19:22:25] [74be16979710d4c4e7c6647856088456]
- R               [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [T40] [2012-12-19 15:35:16] [5b4f808c567607ef83d7f50fc3056dec]
- R PD        [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [Chi-kwadraat bij ...] [2012-12-16 11:17:06] [1f7cf67333ab83c872b4a4ac77f4d937]
- R P           [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [Chi-kwadraat bij ...] [2012-12-16 11:25:55] [1f7cf67333ab83c872b4a4ac77f4d937]
- R P           [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [Chi-kwadraat bij ...] [2012-12-16 11:26:52] [1f7cf67333ab83c872b4a4ac77f4d937]
-   P             [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [Chikwadraat 4weken] [2012-12-17 08:54:29] [74be16979710d4c4e7c6647856088456]
- RMPD          [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [ANOVA 2weken] [2012-12-16 11:33:37] [1f7cf67333ab83c872b4a4ac77f4d937]
- R  D            [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [ANOVA 2weken] [2012-12-16 13:45:55] [1f7cf67333ab83c872b4a4ac77f4d937]
-   P               [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [ANOVA 2weken] [2012-12-17 22:12:36] [1f7cf67333ab83c872b4a4ac77f4d937]
- R  D            [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [ANOVA 4weken] [2012-12-16 13:56:02] [1f7cf67333ab83c872b4a4ac77f4d937]
-   P               [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [ANOVA 4weken] [2012-12-17 22:16:18] [1f7cf67333ab83c872b4a4ac77f4d937]
- R P           [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [Chikwadraat 2weken] [2012-12-17 08:50:50] [74be16979710d4c4e7c6647856088456]
- R P         [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [t 20 chikwadraat] [2012-12-17 08:51:31] [74be16979710d4c4e7c6647856088456]
- R             [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [] [2012-12-19 14:48:17] [5b4f808c567607ef83d7f50fc3056dec]
-   P             [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [chi squared] [2012-12-21 09:28:58] [9f6ab6bc6461b94fa20254844eaa346d]
-                 [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [chi by simulation] [2012-12-21 09:38:49] [9f6ab6bc6461b94fa20254844eaa346d]
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Dataseries X:
NA	'No'
NA	'No'
NA	'No'
NA	'No'
NA	'No'
NA	'No'
NA	'No'
NA	'No'
NA	'No'
NA	'No'
NA	'No'
NA	'No'
NA	'No'
NA	'No'
NA	'No'
NA	'No'
NA	'Yes'
NA	'No'
NA	'No'
NA	'Yes'
NA	'No'
NA	'No'
NA	'No'
NA	'No'
NA	'No'
NA	'No'
NA	'No'
NA	'No'
NA	'No'
NA	'No'
NA	'No'
NA	'No'
NA	'No'
NA	'No'
NA	'No'
NA	'No'
NA	'No'
NA	'No'
NA	'No'
NA	'No'
NA	'Yes'
NA	'No'
NA	'No'
NA	'No'
NA	'No'
NA	'No'
NA	'No'
NA	'No'
NA	'No'
NA	'No'
NA	'No'
NA	'Yes'
NA	'No'
NA	'Yes'
NA	'No'
NA	'No'
NA	'No'
NA	'No'
NA	'No'
NA	'Yes'
NA	'No'
NA	'No'
NA	'No'
NA	'No'
NA	'No'
NA	'No'
NA	'Yes'
NA	'No'
NA	'No'
NA	'No'
NA	'No'
NA	'No'
NA	'No'
NA	'No'
NA	'No'
NA	'No'
NA	'No'
NA	'No'
NA	'Yes'
NA	'No'
NA	'No'
NA	'No'
NA	'No'
NA	'Yes'
NA	'No'
NA	'No'
'NoTreatment'	'No'
'Treatment'	'No'
'NoTreatment'	'No'
'NoTreatment'	'No'
'NoTreatment'	'No'
'Treatment'	'No'
'NoTreatment'	'No'
'NoTreatment'	'No'
'Treatment'	'No'
'NoTreatment'	'No'
'Treatment'	'No'
'NoTreatment'	'No'
'NoTreatment'	'No'
'NoTreatment'	'No'
'NoTreatment'	'No'
'NoTreatment'	'No'
'NoTreatment'	'No'
'NoTreatment'	'No'
'Treatment'	'No'
'NoTreatment'	'No'
'NoTreatment'	'No'
'Treatment'	'No'
'NoTreatment'	'No'
'NoTreatment'	'No'
'Treatment'	'No'
'Treatment'	'No'
'NoTreatment'	'No'
'Treatment'	'No'
'NoTreatment'	'No'
'NoTreatment'	'No'
'NoTreatment'	'No'
'NoTreatment'	'No'
'NoTreatment'	'No'
'NoTreatment'	'No'
'NoTreatment'	'No'
'NoTreatment'	'No'
'Treatment'	'No'
'NoTreatment'	'No'
'NoTreatment'	'No'
'Treatment'	'No'
'NoTreatment'	'No'
'NoTreatment'	'No'
'NoTreatment'	'No'
'NoTreatment'	'No'
'NoTreatment'	'No'
'NoTreatment'	'No'
'NoTreatment'	'No'
'NoTreatment'	'No'
'NoTreatment'	'No'
'NoTreatment'	'No'
'NoTreatment'	'No'
'Treatment'	'No'
'Treatment'	'No'
'NoTreatment'	'No'
'NoTreatment'	'Yes'
'Treatment'	'No'
'NoTreatment'	'No'
'NoTreatment'	'No'
'NoTreatment'	'No'
'Treatment'	'No'
'Treatment'	'No'
'Treatment'	'No'
'NoTreatment'	'No'
'NoTreatment'	'No'
'NoTreatment'	'No'
'NoTreatment'	'Yes'
'NoTreatment'	'Yes'
'NoTreatment'	'No'




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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=198184&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=198184&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=198184&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 Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net







Tabulation of Results
T20 x Correct
NoYes
NoTreatment483
Treatment170

\begin{tabular}{lllllllll}
\hline
Tabulation of Results \tabularnewline
T20  x  Correct \tabularnewline
  & No & Yes \tabularnewline
NoTreatment & 48 & 3 \tabularnewline
Treatment & 17 & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=198184&T=1

[TABLE]
[ROW][C]Tabulation of Results[/C][/ROW]
[ROW][C]T20  x  Correct[/C][/ROW]
[ROW][C] [/C][C]No[/C][C]Yes[/C][/ROW]
[C]NoTreatment[/C][C]48[/C][C]3[/C][/ROW]
[C]Treatment[/C][C]17[/C][C]0[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=198184&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=198184&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
T20 x Correct
NoYes
NoTreatment483
Treatment170







Tabulation of Expected Results
T20 x Correct
NoYes
NoTreatment48.752.25
Treatment16.250.75

\begin{tabular}{lllllllll}
\hline
Tabulation of Expected Results \tabularnewline
T20  x  Correct \tabularnewline
  & No & Yes \tabularnewline
NoTreatment & 48.75 & 2.25 \tabularnewline
Treatment & 16.25 & 0.75 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=198184&T=2

[TABLE]
[ROW][C]Tabulation of Expected Results[/C][/ROW]
[ROW][C]T20  x  Correct[/C][/ROW]
[ROW][C] [/C][C]No[/C][C]Yes[/C][/ROW]
[C]NoTreatment[/C][C]48.75[/C][C]2.25[/C][/ROW]
[C]Treatment[/C][C]16.25[/C][C]0.75[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=198184&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=198184&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
T20 x Correct
NoYes
NoTreatment48.752.25
Treatment16.250.75







Statistical Results
Pearson's Chi-squared test with Yates' continuity correction
Pearson Chi Square Statistic0.12
Degrees of Freedom1
P value0.73

\begin{tabular}{lllllllll}
\hline
Statistical Results \tabularnewline
Pearson's Chi-squared test with Yates' continuity correction \tabularnewline
Pearson Chi Square Statistic & 0.12 \tabularnewline
Degrees of Freedom & 1 \tabularnewline
P value & 0.73 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=198184&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]0.12[/C][/ROW]
[ROW][C]Degrees of Freedom[/C][C]1[/C][/ROW]
[ROW][C]P value[/C][C]0.73[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=198184&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=198184&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 Statistic0.12
Degrees of Freedom1
P value0.73



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')