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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 computationTue, 17 Dec 2013 05:05:32 -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/2013/Dec/17/t13872748065uvs3sh9qy9yc0n.htm/, Retrieved Thu, 28 Mar 2024 16:11:50 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=232400, Retrieved Thu, 28 Mar 2024 16:11:50 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact183
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] [] [2013-12-17 10:05:32] [9e6a405f514733ea23d87e4507d39d29] [Current]
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Dataseries X:
1 2
1 4
1 4
0 4
0 3
0 2
0 3
1 4
1 2
NA 3
0 3
1 3
1 4
1 3
1 2
0 5
0 2
1 3
0 3
1 3
0 3
1 4
0 3
0 1
1 3
0 2
1 4
1 4
1 4
0 1
0 3
0 1
1 4
0 2
1 3
1 3
0 2
1 4
0 1
1 2
0 3
1 3
0 5
1 3
1 4
0 3
1 4
1 2
1 3
0 2
1 3
0 2
0 3
1 4
1 1
1 1
0 1
1 4
0 2
0 2
1 3
1 5
0 3
1 3
0 3
0 3
1 3
1 4
1 4
1 4
0 3
1 4
0 1
1 3
1 3
1 3
0 5
0 4
1 3
1 5
1 4
1 4
1 4
1 4
0 3
1 3
1 4
1 3
0 1
1 4
1 4
0 3
0 3
0 2
1 4
1 1
0 3
1 5
1 4
1 4
0 3
1 4
1 4
1 4
0 3
0 3
1 3
1 5
1 4
1 3
0 1
1 4
0 3
1 2
0 4
1 4
1 5
1 4
1 4
1 3
1 4
1 4
1 4
1 5
1 3
0 4
1 4
0 3
0 3
0 4
0 4
0 4
1 5
1 4
1 4
0 1
1 4
1 4
1 4
0 4
1 4
1 4
0 3
0 3
1 4
1 4
1 5
0 1
0 4
0 3
1 4
1 4
1 4
1 3
1 4
0 3
0 4
1 4
1 4
1 4
0 4
0 3
0 5
1 4
0 2
0 2
1 2
0 1
0 2
0 4
1 2
0 4
0 3
1 1
0 3
1 3
1 4
1 3
0 3
0 4
0 3
1 4
0 5
1 4
0 3
1 4
1 2
1 4
1 3
1 4
0 3
1 4
0 3
0 2
0 4
0 3
0 3
1 2
1 3
0 2
0 2
1 2
1 4
0 3
0 4
0 3
1 5
0 4
1 4
0 1
1 3
1 4
0 3
1 4
0 3
1 3
0 3
1 5
0 3
0 1
0 4
0 1
0 1
1 3
0 2
0 1
1 4
0 2
1 4
0 3
0 4
0 3
0 2
0 4
0 2
1 4
0 2
0 1
1 4
0 3
1 4
0 4
1 4
1 4
1 3
0 3
0 3
1 4
1 3
0 4
0 4
1 4
1 4
0 1
0 3
0 4
0 3
0 1
0 1
0 3
1 4
0 2
1 3
0 1
1 4
1 1
0 3
0 3
1 4
1 4
0 3
1 4
1 4
0 3
0 1
1 3
0 3
1 4
0 2
1 5
0 3
1 4
1 4
1 1
1 4
1 4
1 4
0 3
1 3
0 3
1 5
1 5
1 4
1 4
1 3
1 4
1 4
0 3
0 1
1 4




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time5 seconds
R Server'Gertrude Mary Cox' @ cox.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 & 5 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=232400&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]5 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=232400&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232400&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 time5 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net







Tabulation of Results
Gender x beer.wine
12345
0232361245
1611389513

\begin{tabular}{lllllllll}
\hline
Tabulation of Results \tabularnewline
Gender  x  beer.wine \tabularnewline
  & 1 & 2 & 3 & 4 & 5 \tabularnewline
0 & 23 & 23 & 61 & 24 & 5 \tabularnewline
1 & 6 & 11 & 38 & 95 & 13 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=232400&T=1

[TABLE]
[ROW][C]Tabulation of Results[/C][/ROW]
[ROW][C]Gender  x  beer.wine[/C][/ROW]
[ROW][C] [/C][C]1[/C][C]2[/C][C]3[/C][C]4[/C][C]5[/C][/ROW]
[C]0[/C][C]23[/C][C]23[/C][C]61[/C][C]24[/C][C]5[/C][/ROW]
[C]1[/C][C]6[/C][C]11[/C][C]38[/C][C]95[/C][C]13[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=232400&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232400&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
Gender x beer.wine
12345
0232361245
1611389513







Tabulation of Expected Results
Gender x beer.wine
12345
013.1915.4645.0354.138.19
115.8118.5453.9764.879.81

\begin{tabular}{lllllllll}
\hline
Tabulation of Expected Results \tabularnewline
Gender  x  beer.wine \tabularnewline
  & 1 & 2 & 3 & 4 & 5 \tabularnewline
0 & 13.19 & 15.46 & 45.03 & 54.13 & 8.19 \tabularnewline
1 & 15.81 & 18.54 & 53.97 & 64.87 & 9.81 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=232400&T=2

[TABLE]
[ROW][C]Tabulation of Expected Results[/C][/ROW]
[ROW][C]Gender  x  beer.wine[/C][/ROW]
[ROW][C] [/C][C]1[/C][C]2[/C][C]3[/C][C]4[/C][C]5[/C][/ROW]
[C]0[/C][C]13.19[/C][C]15.46[/C][C]45.03[/C][C]54.13[/C][C]8.19[/C][/ROW]
[C]1[/C][C]15.81[/C][C]18.54[/C][C]53.97[/C][C]64.87[/C][C]9.81[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=232400&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232400&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
Gender x beer.wine
12345
013.1915.4645.0354.138.19
115.8118.5453.9764.879.81







Statistical Results
Pearson's Chi-squared test
Pearson Chi Square Statistic63.54
Degrees of Freedom4
P value0

\begin{tabular}{lllllllll}
\hline
Statistical Results \tabularnewline
Pearson's Chi-squared test \tabularnewline
Pearson Chi Square Statistic & 63.54 \tabularnewline
Degrees of Freedom & 4 \tabularnewline
P value & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=232400&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]63.54[/C][/ROW]
[ROW][C]Degrees of Freedom[/C][C]4[/C][/ROW]
[ROW][C]P value[/C][C]0[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=232400&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232400&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 Statistic63.54
Degrees of Freedom4
P value0



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')