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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 computationWed, 10 Dec 2014 13:50:12 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Dec/10/t1418219454y3uk45iv7repi8n.htm/, Retrieved Fri, 17 May 2024 10:59:52 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=265185, Retrieved Fri, 17 May 2024 10:59:52 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact83
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Paired and Unpaired Two Samples Tests about the Mean] [] [2010-11-01 13:07:12] [b98453cac15ba1066b407e146608df68]
- RMP   [Paired and Unpaired Two Samples Tests about the Mean] [] [2014-10-21 07:47:40] [32b17a345b130fdf5cc88718ed94a974]
- R PD    [Paired and Unpaired Two Samples Tests about the Mean] [Two Sample T test I] [2014-12-10 10:29:02] [fa1b8827d7de91b8b87087311d3d9fa1]
- RM D        [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [Totaalresultaat e...] [2014-12-10 13:50:12] [cbcdb86aef42c1c3276d52a1b1545a9c] [Current]
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Dataseries X:
'A' "'A'"
'A' "'A'"
'A' "'A'"
'A' "'A'"
'A' "'A'"
'A' "'A'"
'A' "'A'"
'A' "'A'"
'A' "'A'"
'A' "'A'"
'A' "'A'"
'A' "'A'"
'A' "'A'"
'A' "'A'"
'A' "'A'"
'A' "'A'"
'A' "'A'"
'A' "'A'"
'A' "'A'"
'A' "'A'"
'A' "'A'"
'A' "'A'"
'A' "'A'"
'A' "'A'"
'A' "'A'"
'A' "'A'"
'A' "'A'"
'A' "'A'"
'A' "'A'"
'A' "'A'"
'A' "'A'"
'A' "'A'"
'A' "'A'"
'A' "'A'"
'A' "'A'"
'A' "'A'"
'A' "'A'"
'A' "'A'"
'A' "'A'"
'A' "'A'"
'A' "'A'"
'A' "'A'"
'A' "'A'"
'A' "'A'"
'A' "'A'"
'A' "'A'"
'A' "'A'"
'A' "'A'"
'B' "'A'"
'B' "'A'"
'B' "'A'"
'B' "'A'"
'B' "'A'"
'B' "'A'"
'B' "'A'"
'B' "'A'"
'B' "'A'"
'B' "'A'"
'B' "'A'"
'B' "'A'"
'B' "'A'"
'B' "'A'"
'B' "'A'"
'B' "'A'"
'B' "'A'"
'B' "'A'"
'B' "'A'"
'B' "'A'"
'B' "'B'"
'B' "'B'"
'B' "'B'"
'B' "'B'"
'B' "'B'"
'B' "'B'"
'B' "'B'"
'B' "'B'"
'B' "'B'"
'B' "'B'"
'B' "'B'"
'B' "'B'"
'B' "'B'"
'B' "'B'"
'B' "'B'"
'B' "'B'"
'B' "'B'"
'B' "'B'"
'B' "'B'"
'B' "'B'"
'B' "'B'"
'B' "'B'"
'B' "'B'"
'B' "'B'"
'B' "'B'"
'B' "'B'"
'B' "'B'"
'B' "'B'"
'B' "'B'"
'B' "'B'"
'B' "'B'"
'B' "'B'"
'B' "'B'"
'B' "'B'"
'B' "'B'"
'B' "'B'"
'B' "'B'"
'B' "'B'"
'B' "'B'"
'B' "'B'"
'B' "'B'"
'B' "'B'"
'C' "'B'"
'C' "'B'"
'C' "'B'"
'C' "'B'"
'C' "'B'"
'C' "'B'"
'C' "'B'"
'C' "'B'"
'C' "'B'"
'C' "'B'"
'C' "'B'"
'C' "'B'"
'C' "'B'"
'C' "'B'"
'C' "'B'"
'C' "'B'"
'C' "'B'"
'C' "'B'"
'C' "'B'"
'C' "'B'"
'C' "'B'"
'C' "'B'"
'C' "'B'"
'C' "'B'"
'C' "'B'"
'C' "'B'"
'C' "'B'"
'C' "'B'"
'C' "'B'"
'C' "'C'"
'C' "'C'"
'C' "'C'"
'C' "'C'"
'C' "'C'"
'C' "'C'"
'C' "'C'"
'C' "'C'"
'C' "'C'"
'C' "'C'"
'C' "'C'"
'C' "'C'"
'D' "'C'"
'D' "'C'"
'D' "'C'"
'D' "'C'"
'D' "'C'"
'D' "'C'"
'D' "'C'"
'D' "'C'"
'D' "'C'"
'D' "'C'"
'D' "'C'"
'D' "'C'"
'D' "'C'"
'D' "'C'"
'D' "'C'"
'D' "'C'"
'D' "'C'"
'D' "'C'"
'D' "'C'"
'D' "'C'"
'D' "'C'"
'D' "'C'"
'D' "'C'"
'D' "'C'"
'D' "'C'"
'D' "'C'"
'D' "'C'"
'D' "'C'"
'D' "'C'"
'D' "'C'"
'D' "'C'"
'D' "'C'"
'D' "'C'"
'D' "'C'"
'D' "'C'"
'D' "'C'"
'D' "'C'"
'D' "'C'"
'D' "'C'"
'D' "'C'"
'D' "'C'"
'D' "'C'"
'D' "'C'"
'D' "'C'"
'D' "'C'"
'D' "'C'"
'D' "'C'"
'D' "'C'"
'D' "'C'"
'D' "'C'"
'D' "'C'"
'D' "'C'"
'D' "'C'"
'D' "'C'"
'D' "'C'"
'D' "'C'"
'D' "'C'"
'D' "'C'"
'D' "'D'"
'D' "'D'"
'D' "'D'"
'D' "'D'"
'D' "'D'"
'D' "'D'"
'D' "'D'"
'D' "'D'"
'D' "'D'"
'D' "'D'"
'D' "'D'"
'D' "'D'"
'D' "'D'"
'D' "'D'"
'D' "'D'"
'D' "'D'"
'D' "'D'"
'D' "'D'"
'D' "'D'"
'D' "'D'"
'D' "'D'"
'D' "'D'"
'D' "'D'"
'D' "'D'"
'D' "'D'"
'D' "'D'"
'D' "'D'"
'D' "'D'"
'D' "'D'"
'D' "'D'"
'D' "'D'"
'D' "'D'"
'D' "'D'"
'D' "'D'"
'D' "'D'"
'D' "'D'"
'D' "'D'"
'D' "'D'"
'D' "'D'"
'D' "'D'"
'D' "'D'"
'D' "'D'"
'D' "'D'"
'D' "'D'"
'D' "'D'"
'D' "'D'"
'D' "'D'"
'D' "'D'"
'D' "'D'"
'D' "'D'"
'D' "'D'"
'D' "'D'"
'D' "'D'"
'D' "'D'"
'D' "'D'"
'D' "'D'"
'D' "'D'"
'D' "'D'"
'D' "'D'"
'D' "'D'"
'D' "'D'"
'D' "'D'"
'D' "'D'"
'D' "'D'"
'D' "'D'"
'D' "'D'"
'D' "'D'"
'D' "'D'"




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=265185&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=265185&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265185&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
ZELFVERT x EXAMENTOT
'A''B''C''D'
A48000
B204200
C029120
D005868

\begin{tabular}{lllllllll}
\hline
Tabulation of Results \tabularnewline
ZELFVERT  x  EXAMENTOT \tabularnewline
  & 'A' & 'B' & 'C' & 'D' \tabularnewline
A & 48 & 0 & 0 & 0 \tabularnewline
B & 20 & 42 & 0 & 0 \tabularnewline
C & 0 & 29 & 12 & 0 \tabularnewline
D & 0 & 0 & 58 & 68 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265185&T=1

[TABLE]
[ROW][C]Tabulation of Results[/C][/ROW]
[ROW][C]ZELFVERT  x  EXAMENTOT[/C][/ROW]
[ROW][C] [/C][C]'A'[/C][C]'B'[/C][C]'C'[/C][C]'D'[/C][/ROW]
[C]A[/C][C]48[/C][C]0[/C][C]0[/C][C]0[/C][/ROW]
[C]B[/C][C]20[/C][C]42[/C][C]0[/C][C]0[/C][/ROW]
[C]C[/C][C]0[/C][C]29[/C][C]12[/C][C]0[/C][/ROW]
[C]D[/C][C]0[/C][C]0[/C][C]58[/C][C]68[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265185&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265185&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
ZELFVERT x EXAMENTOT
'A''B''C''D'
A48000
B204200
C029120
D005868







Tabulation of Expected Results
ZELFVERT x EXAMENTOT
'A''B''C''D'
A11.7812.312.1311.78
B15.2215.8915.6715.22
C10.0610.5110.3610.06
D30.9332.331.8430.93

\begin{tabular}{lllllllll}
\hline
Tabulation of Expected Results \tabularnewline
ZELFVERT  x  EXAMENTOT \tabularnewline
  & 'A' & 'B' & 'C' & 'D' \tabularnewline
A & 11.78 & 12.3 & 12.13 & 11.78 \tabularnewline
B & 15.22 & 15.89 & 15.67 & 15.22 \tabularnewline
C & 10.06 & 10.51 & 10.36 & 10.06 \tabularnewline
D & 30.93 & 32.3 & 31.84 & 30.93 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265185&T=2

[TABLE]
[ROW][C]Tabulation of Expected Results[/C][/ROW]
[ROW][C]ZELFVERT  x  EXAMENTOT[/C][/ROW]
[ROW][C] [/C][C]'A'[/C][C]'B'[/C][C]'C'[/C][C]'D'[/C][/ROW]
[C]A[/C][C]11.78[/C][C]12.3[/C][C]12.13[/C][C]11.78[/C][/ROW]
[C]B[/C][C]15.22[/C][C]15.89[/C][C]15.67[/C][C]15.22[/C][/ROW]
[C]C[/C][C]10.06[/C][C]10.51[/C][C]10.36[/C][C]10.06[/C][/ROW]
[C]D[/C][C]30.93[/C][C]32.3[/C][C]31.84[/C][C]30.93[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265185&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265185&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
ZELFVERT x EXAMENTOT
'A''B''C''D'
A11.7812.312.1311.78
B15.2215.8915.6715.22
C10.0610.5110.3610.06
D30.9332.331.8430.93







Statistical Results
Pearson's Chi-squared test
Pearson Chi Square Statistic404.88
Degrees of Freedom9
P value0

\begin{tabular}{lllllllll}
\hline
Statistical Results \tabularnewline
Pearson's Chi-squared test \tabularnewline
Pearson Chi Square Statistic & 404.88 \tabularnewline
Degrees of Freedom & 9 \tabularnewline
P value & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265185&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]404.88[/C][/ROW]
[ROW][C]Degrees of Freedom[/C][C]9[/C][/ROW]
[ROW][C]P value[/C][C]0[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265185&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265185&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 Statistic404.88
Degrees of Freedom9
P value0



Parameters (Session):
par1 = 1 ; par2 = 2 ; par3 = 0.95 ; par4 = two.sided ; par5 = unpaired ; par6 = 0.0 ;
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')