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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 computationThu, 04 Dec 2014 10:38:25 +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/04/t1417689529nmxflxx0ap4g481.htm/, Retrieved Thu, 31 Oct 2024 23:22:20 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=263076, Retrieved Thu, 31 Oct 2024 23:22:20 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact129
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] [] [2014-12-04 10:38:25] [1ebf97c2849ffde24f76bf1248cb3f0d] [Current]
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Dataseries X:
'B' "'A'"
'A' "'C'"
'D' "'B'"
'D' "'C'"
'A' "'A'"
'A' "'D'"
'B' "'D'"
'B' "'B'"
'B' "'B'"
'B' "'A'"
'A' "'D'"
'A' "'B'"
'D' "'B'"
'A' "'A'"
'A' "'A'"
'B' "'C'"
'B' "'C'"
'A' "'A'"
'B' "'A'"
'A' "'C'"
'A' "'C'"
'D' "'D'"
'B' "'A'"
'D' "'A'"
'A' "'C'"
'D' "'C'"
'A' "'B'"
'B' "'A'"
'B' "'C'"
'D' "'C'"
'A' "'D'"
'C' "'C'"
'A' "'D'"
'B' "'A'"
'B' "'D'"
'A' "'C'"
'D' "'D'"
'B' "'C'"
'A' "'D'"
'C' "'C'"
'B' "'C'"
'A' "'C'"
'A' "'C'"
'D' "'C'"
'D' "'D'"
'D' "'B'"
'B' "'A'"
'B' "'B'"
'A' "'A'"
'C' "'C'"
'A' "'A'"
'B' "'D'"
'D' "'C'"
'D' "'A'"
'D' "'C'"
'B' "'C'"
'A' "'B'"
'B' "'B'"
'D' "'B'"
'D' "'B'"
'D' "'D'"
'C' "'B'"
'D' "'B'"
'B' "'B'"
'B' "'D'"
'D' "'A'"
'D' "'B'"
'D' "'D'"
'B' "'A'"
'B' "'A'"
'B' "'B'"
'A' "'A'"
'B' "'A'"
'B' "'A'"
'C' "'D'"
'D' "'D'"
'A' "'A'"
'C' "'D'"
'B' "'D'"
'C' "'D'"
'B' "'B'"
'A' "'A'"
'B' "'A'"
'A' "'C'"
'B' "'B'"
'B' "'D'"
'B' "'A'"
'B' "'B'"
'C' "'C'"
'D' "'C'"
'A' "'B'"
'C' "'C'"
'B' "'A'"
'B' "'D'"
'C' "'D'"
'A' "'B'"
'D' "'B'"
'B' "'D'"
'A' "'B'"
'B' "'B'"
'A' "'B'"
'D' "'B'"
'A' "'A'"
'D' "'D'"
'B' "'A'"
'D' "'C'"
'A' "'B'"
'B' "'A'"
'D' "'B'"
'D' "'A'"
'B' "'B'"
'D' "'C'"
'C' "'A'"
'B' "'C'"
'A' "'B'"
'A' "'C'"
'B' "'A'"
'B' "'A'"
'B' "'B'"
'B' "'B'"
'D' "'A'"
'B' "'D'"
'B' "'A'"
'B' "'A'"
'B' "'D'"
'C' "'C'"
'A' "'C'"
'A' "'A'"
'A' "'B'"
'B' "'C'"
'C' "'C'"
'D' "'C'"
'B' "'A'"
'B' "'D'"
'B' "'A'"
'A' "'D'"
'D' "'D'"
'B' "'B'"
'D' "'B'"
'B' "'B'"
'C' "'B'"
'B' "'B'"
'A' "'B'"
'B' "'B'"
'B' "'D'"
'A' "'D'"
'A' "'D'"
'D' "'B'"
'D' "'D'"
'D' "'C'"
'A' "'A'"
'C' "'A'"
'A' "'A'"
'D' "'A'"
'D' "'B'"
'C' "'D'"
'C' "'C'"
'B' "'A'"
'A' "'B'"
'C' "'C'"
'D' "'B'"
'C' "'B'"




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ yule.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 & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=263076&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=263076&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=263076&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'George Udny Yule' @ yule.wessa.net







Tabulation of Results
Happiness4 x Separate4
'A''B''C''D'
A1312108
B2317812
C2395
D614119

\begin{tabular}{lllllllll}
\hline
Tabulation of Results \tabularnewline
Happiness4  x  Separate4 \tabularnewline
  & 'A' & 'B' & 'C' & 'D' \tabularnewline
A & 13 & 12 & 10 & 8 \tabularnewline
B & 23 & 17 & 8 & 12 \tabularnewline
C & 2 & 3 & 9 & 5 \tabularnewline
D & 6 & 14 & 11 & 9 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=263076&T=1

[TABLE]
[ROW][C]Tabulation of Results[/C][/ROW]
[ROW][C]Happiness4  x  Separate4[/C][/ROW]
[ROW][C] [/C][C]'A'[/C][C]'B'[/C][C]'C'[/C][C]'D'[/C][/ROW]
[C]A[/C][C]13[/C][C]12[/C][C]10[/C][C]8[/C][/ROW]
[C]B[/C][C]23[/C][C]17[/C][C]8[/C][C]12[/C][/ROW]
[C]C[/C][C]2[/C][C]3[/C][C]9[/C][C]5[/C][/ROW]
[C]D[/C][C]6[/C][C]14[/C][C]11[/C][C]9[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=263076&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=263076&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 Separate4
'A''B''C''D'
A1312108
B2317812
C2395
D614119







Tabulation of Expected Results
Happiness4 x Separate4
'A''B''C''D'
A11.6812.2110.099.02
B16.317.0414.0712.59
C5.165.44.463.99
D10.8611.369.388.4

\begin{tabular}{lllllllll}
\hline
Tabulation of Expected Results \tabularnewline
Happiness4  x  Separate4 \tabularnewline
  & 'A' & 'B' & 'C' & 'D' \tabularnewline
A & 11.68 & 12.21 & 10.09 & 9.02 \tabularnewline
B & 16.3 & 17.04 & 14.07 & 12.59 \tabularnewline
C & 5.16 & 5.4 & 4.46 & 3.99 \tabularnewline
D & 10.86 & 11.36 & 9.38 & 8.4 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=263076&T=2

[TABLE]
[ROW][C]Tabulation of Expected Results[/C][/ROW]
[ROW][C]Happiness4  x  Separate4[/C][/ROW]
[ROW][C] [/C][C]'A'[/C][C]'B'[/C][C]'C'[/C][C]'D'[/C][/ROW]
[C]A[/C][C]11.68[/C][C]12.21[/C][C]10.09[/C][C]9.02[/C][/ROW]
[C]B[/C][C]16.3[/C][C]17.04[/C][C]14.07[/C][C]12.59[/C][/ROW]
[C]C[/C][C]5.16[/C][C]5.4[/C][C]4.46[/C][C]3.99[/C][/ROW]
[C]D[/C][C]10.86[/C][C]11.36[/C][C]9.38[/C][C]8.4[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=263076&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=263076&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 Separate4
'A''B''C''D'
A11.6812.2110.099.02
B16.317.0414.0712.59
C5.165.44.463.99
D10.8611.369.388.4







Statistical Results
Pearson's Chi-squared test with simulated p-value (based on 2000 replicates)
Exact Pearson Chi Square Statistic16.68
P value0.05

\begin{tabular}{lllllllll}
\hline
Statistical Results \tabularnewline
Pearson's Chi-squared test with simulated p-value
	 (based on 2000 replicates) \tabularnewline
Exact Pearson Chi Square Statistic & 16.68 \tabularnewline
P value & 0.05 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=263076&T=3

[TABLE]
[ROW][C]Statistical Results[/C][/ROW]
[ROW][C]Pearson's Chi-squared test with simulated p-value
	 (based on 2000 replicates)[/C][/ROW]
[ROW][C]Exact Pearson Chi Square Statistic[/C][C]16.68[/C][/ROW]
[ROW][C]P value[/C][C]0.05[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=263076&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=263076&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 simulated p-value (based on 2000 replicates)
Exact Pearson Chi Square Statistic16.68
P value0.05



Parameters (Session):
par1 = 1 ; par2 = 2 ; par3 = Exact Pearson Chi-Squared by Simulation ;
Parameters (R input):
par1 = 1 ; par2 = 2 ; par3 = Exact Pearson Chi-Squared by Simulation ;
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')