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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 computationSun, 27 Oct 2013 04:59:07 -0400
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/Oct/27/t1382864361c1m3k3ikh2boi4y.htm/, Retrieved Thu, 31 Oct 2024 23:14:04 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=219758, Retrieved Thu, 31 Oct 2024 23:14:04 +0000
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User-defined keywords
Estimated Impact145
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-       [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [WS6 Chi Square Test] [2013-10-27 08:59:07] [fadfc9372cca1a1d5dac7627fd6fbda7] [Current]
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Dataseries X:
'B' 'HI'
'A' 'LO'
'D' 'HI'
'D' 'LO'
'A' 'HI'
'A' 'LO'
'B' 'LO'
'B' 'HI'
'B' 'HI'
'B' 'HI'
'A' 'LO'
'A' 'HI'
'D' 'HI'
'A' 'HI'
'A' 'HI'
'B' 'LO'
'B' 'LO'
'A' 'HI'
'B' 'HI'
'A' 'LO'
'A' 'LO'
'D' 'LO'
'B' 'HI'
'D' 'HI'
'A' 'LO'
'D' 'LO'
'A' 'HI'
'B' 'HI'
'B' 'LO'
'D' 'LO'
'A' 'LO'
'C' 'LO'
'A' 'LO'
'B' 'HI'
'B' 'LO'
'A' 'LO'
'D' 'LO'
'B' 'LO'
'A' 'LO'
'C' 'LO'
'B' 'LO'
'A' 'LO'
'A' 'LO'
'D' 'LO'
'D' 'LO'
'D' 'HI'
'B' 'HI'
'B' 'HI'
'A' 'HI'
'C' 'LO'
'A' 'HI'
'B' 'LO'
'D' 'LO'
'D' 'HI'
'D' 'LO'
'B' 'LO'
'A' 'HI'
'B' 'HI'
'D' 'HI'
'D' 'HI'
'D' 'LO'
'C' 'HI'
'D' 'HI'
'B' 'HI'
'B' 'LO'
'D' 'HI'
'D' 'HI'
'D' 'LO'
'B' 'HI'
'B' 'HI'
'B' 'HI'
'A' 'HI'
'B' 'HI'
'B' 'HI'
'C' 'LO'
'D' 'LO'
'A' 'HI'
'C' 'LO'
'B' 'LO'
'C' 'LO'
'B' 'HI'
'A' 'HI'
'B' 'HI'
'A' 'LO'
'B' 'HI'
'B' 'LO'
'B' 'HI'
'B' 'HI'
'C' 'LO'
'D' 'LO'
'A' 'HI'
'C' 'LO'
'B' 'HI'
'B' 'LO'
'C' 'LO'
'A' 'HI'
'D' 'HI'
'B' 'LO'
'A' 'HI'
'B' 'HI'
'A' 'HI'
'D' 'HI'
'A' 'HI'
'D' 'LO'
'B' 'HI'
'D' 'LO'
'A' 'HI'
'B' 'HI'
'D' 'HI'
'D' 'HI'
'B' 'HI'
'D' 'LO'
'C' 'HI'
'B' 'LO'
'A' 'HI'
'A' 'LO'
'B' 'HI'
'B' 'HI'
'B' 'HI'
'B' 'HI'
'D' 'HI'
'B' 'LO'
'B' 'HI'
'B' 'HI'
'B' 'LO'
'C' 'LO'
'A' 'LO'
'A' 'HI'
'A' 'HI'
'B' 'LO'
'C' 'LO'
'D' 'LO'
'B' 'HI'
'B' 'LO'
'B' 'HI'
'A' 'LO'
'D' 'LO'
'B' 'HI'
'D' 'HI'
'B' 'HI'
'C' 'HI'
'B' 'HI'
'A' 'HI'
'B' 'HI'
'B' 'LO'
'A' 'LO'
'A' 'LO'
'D' 'HI'
'D' 'LO'
'D' 'LO'
'A' 'HI'
'C' 'HI'
'A' 'HI'
'D' 'HI'
'D' 'HI'
'C' 'LO'
'C' 'LO'
'B' 'HI'
'A' 'HI'
'C' 'LO'
'D' 'HI'
'C' 'HI'
 




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 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 & 3 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=219758&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=219758&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=219758&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 time3 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net







Tabulation of Results
Happiness4 x Separate2
HILO
A2518
B4020
C514
D2020

\begin{tabular}{lllllllll}
\hline
Tabulation of Results \tabularnewline
Happiness4  x  Separate2 \tabularnewline
  & HI & LO \tabularnewline
A & 25 & 18 \tabularnewline
B & 40 & 20 \tabularnewline
C & 5 & 14 \tabularnewline
D & 20 & 20 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=219758&T=1

[TABLE]
[ROW][C]Tabulation of Results[/C][/ROW]
[ROW][C]Happiness4  x  Separate2[/C][/ROW]
[ROW][C] [/C][C]HI[/C][C]LO[/C][/ROW]
[C]A[/C][C]25[/C][C]18[/C][/ROW]
[C]B[/C][C]40[/C][C]20[/C][/ROW]
[C]C[/C][C]5[/C][C]14[/C][/ROW]
[C]D[/C][C]20[/C][C]20[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=219758&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=219758&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
Happiness4 x Separate2
HILO
A2518
B4020
C514
D2020







Tabulation of Expected Results
Happiness4 x Separate2
HILO
A23.8919.11
B33.3326.67
C10.568.44
D22.2217.78

\begin{tabular}{lllllllll}
\hline
Tabulation of Expected Results \tabularnewline
Happiness4  x  Separate2 \tabularnewline
  & HI & LO \tabularnewline
A & 23.89 & 19.11 \tabularnewline
B & 33.33 & 26.67 \tabularnewline
C & 10.56 & 8.44 \tabularnewline
D & 22.22 & 17.78 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=219758&T=2

[TABLE]
[ROW][C]Tabulation of Expected Results[/C][/ROW]
[ROW][C]Happiness4  x  Separate2[/C][/ROW]
[ROW][C] [/C][C]HI[/C][C]LO[/C][/ROW]
[C]A[/C][C]23.89[/C][C]19.11[/C][/ROW]
[C]B[/C][C]33.33[/C][C]26.67[/C][/ROW]
[C]C[/C][C]10.56[/C][C]8.44[/C][/ROW]
[C]D[/C][C]22.22[/C][C]17.78[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=219758&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=219758&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
Happiness4 x Separate2
HILO
A23.8919.11
B33.3326.67
C10.568.44
D22.2217.78







Statistical Results
Pearson's Chi-squared test
Pearson Chi Square Statistic10.2
Degrees of Freedom3
P value0.02

\begin{tabular}{lllllllll}
\hline
Statistical Results \tabularnewline
Pearson's Chi-squared test \tabularnewline
Pearson Chi Square Statistic & 10.2 \tabularnewline
Degrees of Freedom & 3 \tabularnewline
P value & 0.02 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=219758&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]10.2[/C][/ROW]
[ROW][C]Degrees of Freedom[/C][C]3[/C][/ROW]
[ROW][C]P value[/C][C]0.02[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=219758&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=219758&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 Statistic10.2
Degrees of Freedom3
P value0.02



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')