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Author's title

Author*The author of this computation has been verified*
R Software Module--
Title produced by softwareChi-Squared Test, McNemar Test, and Fisher Exact Test
Date of computationSun, 14 Dec 2014 21:00:49 +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/14/t1418590859gjig077e1ipxzma.htm/, Retrieved Thu, 31 Oct 2024 22:53:53 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=267875, Retrieved Thu, 31 Oct 2024 22:53:53 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact102
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 15:17:18] [b98453cac15ba1066b407e146608df68]
- RM    [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [q1] [2014-11-05 13:43:53] [2568c9326b0361ae14a2b722dbd6de4e]
- R PD    [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [probability quartile] [2014-12-09 11:57:15] [2568c9326b0361ae14a2b722dbd6de4e]
- RM D        [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [] [2014-12-14 21:00:49] [1e9ea55ca500335a50defe307678d583] [Current]
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Dataseries X:
'D' "'B'"
'C' "'B'"
'D' "'B'"
'D' "'C'"
'A' "'C'"
'C' "'B'"
'C' "'B'"
'A' "'B'"
'C' "'B'"
'C' "'C'"
'D' "'B'"
'C' "'C'"
'C' "'B'"
'D' "'B'"
'D' "'C'"
'D' "'B'"
'C' "'B'"
'C' "'C'"
'D' "'C'"
'D' "'C'"
'D' "'C'"
'D' "'B'"
'D' "'B'"
'D' "'B'"
'A' "'B'"
'D' "'B'"
'A' "'A'"
'D' "'B'"
'D' "'C'"
'D' "'B'"
'D' "'C'"
'C' "'B'"
'C' "'C'"
'D' "'C'"
'D' "'B'"
'C' "'B'"
'D' "'B'"
'C' "'B'"
'C' "'C'"
'C' "'B'"
'C' "'C'"
'C' "'B'"
'C' "'B'"
'D' "'B'"
'D' "'B'"
'C' "'B'"
'D' "'B'"
'C' "'C'"
'D' "'B'"
'C' "'B'"
'A' "'B'"
'D' "'C'"
'A' "'B'"
'D' "'B'"
'C' "'B'"
'A' "'B'"
'D' "'C'"
'D' "'B'"
'D' "'C'"
'C' "'B'"
'A' "'C'"
'C' "'B'"
'C' "'C'"
'D' "'A'"
'C' "'C'"
'D' "'C'"
'C' "'B'"
'D' "'B'"
'C' "'B'"
'C' "'B'"
'C' "'B'"
'D' "'B'"
'C' "'C'"
'C' "'B'"
'D' "'B'"
'C' "'B'"
'C' "'B'"
'D' "'B'"
'D' "'C'"
'A' "'C'"
'A' "'B'"
'D' "'B'"
'C' "'B'"
'D' "'D'"
'D' "'B'"
'D' "'B'"
'C' "'B'"
'D' "'B'"
'C' "'C'"
'D' "'B'"
'C' "'B'"
'C' "'C'"
'D' "'C'"
'C' "'C'"
'D' "'C'"
'D' "'C'"
'C' "'C'"
'A' "'B'"
'C' "'B'"
'C' "'C'"
'C' "'B'"
'D' "'B'"
'D' "'C'"
'D' "'C'"
'D' "'B'"
'C' "'C'"
'C' "'B'"
'D' "'D'"
'D' "'C'"
'D' "'C'"
'D' "'B'"
'D' "'B'"
'A' "'D'"
'A' "'B'"
'A' "'A'"
'A' "'A'"
'A' "'A'"
'D' "'B'"
'C' "'A'"
'A' "'A'"
'D' "'A'"
'D' "'B'"
'D' "'A'"
'D' "'B'"
'D' "'B'"
'D' "'B'"
'D' "'A'"
'D' "'B'"
'C' "'A'"
'A' "'B'"
'A' "'B'"
'D' "'A'"
'D' "'B'"
'C' "'B'"
'A' "'B'"
'D' "'B'"
'A' "'A'"
'D' "'C'"
'D' "'A'"
'C' "'A'"
'A' "'B'"
'C' "'A'"
'D' "'A'"
'C' "'A'"
'A' "'A'"
'D' "'A'"
'D' "'B'"
'C' "'B'"
'C' "'B'"
'A' "'A'"
'D' "'C'"
'A' "'A'"
'D' "'A'"
'D' "'A'"
'A' "'B'"
'C' "'B'"
'A' "'A'"
'C' "'A'"
'C' "'B'"
'C' "'B'"
'C' "'A'"
'D' "'A'"
'D' "'A'"
'A' "'A'"
'A' "'A'"
'A' "'B'"
'C' "'A'"
'A' "'A'"
'D' "'B'"
'C' "'B'"
'A' "'A'"
'D' "'A'"
'C' "'B'"
'A' "'A'"
'A' "'A'"
'D' "'A'"
'C' "'B'"
'D' "'A'"
'C' "'A'"
'D' "'C'"
'C' "'B'"
'D' "'B'"
'C' "'A'"
'D' "'A'"
'A' "'B'"
'D' "'A'"
'D' "'A'"
'D' "'B'"
'D' "'B'"
'D' "'B'"
'C' "'B'"
'C' "'A'"
'C' "'C'"
'D' "'A'"
'D' "'B'"
'A' "'B'"
'C' "'B'"
'D' "'B'"
'D' "'B'"
'C' "'A'"
'D' "'A'"
'D' "'B'"
'C' "'B'"
'D' "'A'"
'D' "'B'"
'D' "'B'"
'D' "'C'"
'D' "'B'"
'D' "'A'"
'C' "'A'"
'A' "'B'"
'C' "'A'"
'C' "'B'"
'D' "'B'"
'D' "'A'"
'D' "'B'"
'C' "'A'"
'A' "'A'"
'C' "'B'"
'D' "'A'"
'C' "'A'"
'C' "'C'"
'A' "'B'"
'C' "'A'"
'C' "'A'"
'D' "'A'"
'D' "'A'"
'C' "'A'"
'C' "'A'"
'D' "'A'"
'D' "'A'"
'C' "'A'"
'C' "'B'"
'D' "'B'"
'D' "'C'"
'D' "'D'"
'D' "'B'"
'C' "'B'"
'D' "'B'"
'C' "'B'"
'C' "'B'"
'D' "'B'"
'D' "'B'"
'A' "'A'"
'C' "'B'"
'C' "'B'"
'D' "'A'"
'C' "'B'"
'C' "'A'"
'D' "'B'"
'C' "'B'"
'D' "'B'"
'C' "'B'"
'D' "'A'"
'A' "'B'"
'D' "'A'"
'C' "'C'"
'C' "'C'"
'D' "'B'"
'D' "'C'"
'A' "'B'"
'D' "'B'"
'C' "'C'"
'D' "'B'"
'C' "'A'"
'A' "'B'"
'D' "'B'"
'D' "'A'"
'A' "'A'"
'A' "'B'"
'D' "'A'"
'A' "'B'"
'D' "'A'"
'C' "'A'"
'D' "'A'"
'D' "'B'"
'D' "'A'"
'C' "'C'"




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Sir Maurice George Kendall' @ kendall.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 & 1 seconds \tabularnewline
R Server & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=267875&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]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=267875&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=267875&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 time1 seconds
R Server'Sir Maurice George Kendall' @ kendall.wessa.net







Tabulation of Results
probability_quartile x Total_quartile
'A''B''C''D'
A192331
C2454220
D3667263

\begin{tabular}{lllllllll}
\hline
Tabulation of Results \tabularnewline
probability_quartile  x  Total_quartile \tabularnewline
  & 'A' & 'B' & 'C' & 'D' \tabularnewline
A & 19 & 23 & 3 & 1 \tabularnewline
C & 24 & 54 & 22 & 0 \tabularnewline
D & 36 & 67 & 26 & 3 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=267875&T=1

[TABLE]
[ROW][C]Tabulation of Results[/C][/ROW]
[ROW][C]probability_quartile  x  Total_quartile[/C][/ROW]
[ROW][C] [/C][C]'A'[/C][C]'B'[/C][C]'C'[/C][C]'D'[/C][/ROW]
[C]A[/C][C]19[/C][C]23[/C][C]3[/C][C]1[/C][/ROW]
[C]C[/C][C]24[/C][C]54[/C][C]22[/C][C]0[/C][/ROW]
[C]D[/C][C]36[/C][C]67[/C][C]26[/C][C]3[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=267875&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=267875&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
probability_quartile x Total_quartile
'A''B''C''D'
A192331
C2454220
D3667263







Tabulation of Expected Results
probability_quartile x Total_quartile
'A''B''C''D'
A13.0723.838.440.66
C28.4251.818.351.44
D37.5168.3724.221.9

\begin{tabular}{lllllllll}
\hline
Tabulation of Expected Results \tabularnewline
probability_quartile  x  Total_quartile \tabularnewline
  & 'A' & 'B' & 'C' & 'D' \tabularnewline
A & 13.07 & 23.83 & 8.44 & 0.66 \tabularnewline
C & 28.42 & 51.8 & 18.35 & 1.44 \tabularnewline
D & 37.51 & 68.37 & 24.22 & 1.9 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=267875&T=2

[TABLE]
[ROW][C]Tabulation of Expected Results[/C][/ROW]
[ROW][C]probability_quartile  x  Total_quartile[/C][/ROW]
[ROW][C] [/C][C]'A'[/C][C]'B'[/C][C]'C'[/C][C]'D'[/C][/ROW]
[C]A[/C][C]13.07[/C][C]23.83[/C][C]8.44[/C][C]0.66[/C][/ROW]
[C]C[/C][C]28.42[/C][C]51.8[/C][C]18.35[/C][C]1.44[/C][/ROW]
[C]D[/C][C]37.51[/C][C]68.37[/C][C]24.22[/C][C]1.9[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=267875&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=267875&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
probability_quartile x Total_quartile
'A''B''C''D'
A13.0723.838.440.66
C28.4251.818.351.44
D37.5168.3724.221.9







Statistical Results
Pearson's Chi-squared test
Pearson Chi Square Statistic10.2
Degrees of Freedom6
P value0.12

\begin{tabular}{lllllllll}
\hline
Statistical Results \tabularnewline
Pearson's Chi-squared test \tabularnewline
Pearson Chi Square Statistic & 10.2 \tabularnewline
Degrees of Freedom & 6 \tabularnewline
P value & 0.12 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=267875&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]6[/C][/ROW]
[ROW][C]P value[/C][C]0.12[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=267875&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=267875&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 Freedom6
P value0.12



Parameters (Session):
par1 = 1 ; par2 = 2 ; par3 = Pearson Chi-Squared ;
Parameters (R input):
par1 = 1 ; par2 = 2 ; par3 = Pearson Chi-Squared ; par4 = ; par5 = ; par6 = ; par7 = ; par8 = ; par9 = ; par10 = ; par11 = ; par12 = ; par13 = ; par14 = ; par15 = ; par16 = ; par17 = ; par18 = ; par19 = ; par20 = ;
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')