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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, 14 Dec 2014 11:59:33 +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/t1418558381w7rjsrmnf6cdt6a.htm/, Retrieved Thu, 16 May 2024 10:26:08 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=267475, Retrieved Thu, 16 May 2024 10:26:08 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact87
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 14:33:59] [b98453cac15ba1066b407e146608df68]
- RM    [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [] [2014-11-05 13:44:39] [c2c160edf30e228bd3a949bf24376c2c]
-    D    [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [] [2014-12-09 14:14:25] [a6b2572b29932aa41ecec373f1b28823]
-   P       [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [] [2014-12-14 11:58:28] [80a885d02035c87be624c190e38c794d]
-   P           [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [] [2014-12-14 11:59:33] [4b67a948f2e7df32913e04ba402e80f8] [Current]
-   P             [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [] [2014-12-14 12:00:40] [80a885d02035c87be624c190e38c794d]
-   P               [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [] [2014-12-14 12:01:20] [80a885d02035c87be624c190e38c794d]
-   P                 [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [] [2014-12-14 12:01:59] [80a885d02035c87be624c190e38c794d]
-   P                   [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [] [2014-12-14 12:02:41] [80a885d02035c87be624c190e38c794d]
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Dataseries X:
'C'	'C'	'B'	'C'
'D'	'D'	'D'	'D'
'D'	'D'	'B'	'B'
'C'	'C'	'C'	'D'
'B'	'B'	'B'	'D'
'C'	'C'	'A'	'D'
'C'	'C'	'B'	'D'
'B'	'D'	'C'	'A'
'C'	'C'	'B'	'D'
'A'	'A'	'A'	'D'
'B'	'C'	'B'	'D'
'B'	'C'	'B'	'C'
'B'	'C'	'A'	'D'
'C'	'C'	'A'	'D'
'B'	'B'	'B'	'C'
'D'	'D'	'B'	'A'
'B'	'C'	'C'	'A'
'B'	'B'	'C'	'D'
'B'	'C'	'B'	'C'
'C'	'D'	'B'	'D'
'C'	'C'	'C'	'D'
'A'	'A'	'A'	'D'
'B'	'B'	'A'	'B'
'B'	'C'	'B'	'B'
'D'	'C'	'B'	'B'
'B'	'D'	'C'	'A'
'C'	'C'	'C'	'D'
'C'	'D'	'C'	'C'
'B'	'C'	'A'	'C'
'B'	'C'	'B'	'D'
'B'	'B'	'A'	'D'
'C'	'D'	'C'	'D'
'B'	'C'	'C'	'B'
'D'	'D'	'D'	'D'
'B'	'C'	'B'	'D'
'B'	'A'	'A'	'B'
'B'	'C'	'A'	'C'
'D'	'D'	'C'	'D'
'D'	'D'	'B'	'D'
'B'	'B'	'B'	'D'
'C'	'C'	'B'	'C'
'D'	'D'	'A'	'C'
'C'	'C'	'C'	'D'
'C'	'C'	'B'	'D'
'B'	'D'	'A'	'D'
'B'	'C'	'B'	'C'
'B'	'C'	'A'	'C'
'D'	'D'	'A'	'C'
'B'	'C'	'C'	'B'
'B'	'C'	'C'	'C'
'D'	'D'	'A'	'C'
'C'	'C'	'C'	'B'
'C'	'C'	'A'	'C'
'C'	'D'	'C'	'C'
'B'	'C'	'B'	'C'
'A'	'B'	'C'	'C'
'A'	'B'	'B'	'D'
'C'	'C'	'B'	'D'
'B'	'D'	'C'	'B'
'C'	'B'	'C'	'A'
'D'	'C'	'C'	'C'
'B'	'C'	'C'	'D'
'B'	'C'	'A'	'B'
'D'	'C'	'B'	'D'
'D'	'D'	'B'	'A'
'B'	'C'	'A'	'D'
'C'	'D'	'A'	'C'
'C'	'C'	'B'	'C'
'C'	'C'	'B'	'A'
'C'	'C'	'C'	'A'
'C'	'C'	'A'	'A'
'B'	'C'	'C'	'D'
'B'	'C'	'A'	'C'
'C'	'C'	'B'	'D'
'D'	'D'	'A'	'B'
'D'	'C'	'B'	'D'
'D'	'D'	'D'	'D'
'D'	'D'	'B'	'B'
'C'	'C'	'D'	'D'
'B'	'C'	'C'	'B'
'C'	'C'	'C'	'C'
'B'	'C'	'B'	'D'
'C'	'D'	'B'	'D'
'B'	'C'	'A'	'D'
'C'	'C'	'C'	'C'
'C'	'C'	'B'	'D'
'B'	'C'	'B'	'D'
'C'	'C'	'A'	'C'
'B'	'D'	'B'	'C'
'B'	'C'	'B'	'D'
'B'	'C'	'A'	'D'
'D'	'D'	'C'	'C'
'C'	'C'	'B'	'D'
'C'	'C'	'B'	'C'
'C'	'D'	'A'	'D'
'C'	'D'	'C'	'B'
'A'	'A'	'B'	'C'
'C'	'C'	'C'	'C'
'C'	'C'	'B'	'D'
'B'	'C'	'B'	'D'
'B'	'C'	'A'	'D'
'C'	'C'	'A'	'C'
'D'	'C'	'B'	'C'
'D'	'D'	'B'	'C'
'B'	'C'	'B'	'D'
'B'	'C'	'A'	'D'
'D'	'C'	'B'	'C'
'A'	'B'	'C'	'D'
'C'	'D'	'D'	'C'
'B'	'C'	'C'	'B'
'D'	'D'	'A'	'C'
'C'	'C'	'C'	'C'
'C'	'D'	'B'	'C'
'D'	'C'	'C'	'D'
'B'	'C'	'B'	'C'
'D'	'C'	'B'	'C'




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net
R Framework error message
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.

\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 & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
R Framework error message & 
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.
\tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=267475&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[ROW][C]R Framework error message[/C][C]
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.
[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=267475&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=267475&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'Gertrude Mary Cox' @ cox.wessa.net
R Framework error message
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.







Tabulation of Results
Depressie x Software
ABCD
A0144
B1185
C122512
D263410

\begin{tabular}{lllllllll}
\hline
Tabulation of Results \tabularnewline
Depressie
  x  Software \tabularnewline
  & A & B & C & D \tabularnewline
A & 0 & 1 & 4 & 4 \tabularnewline
B & 1 & 1 & 8 & 5 \tabularnewline
C & 1 & 2 & 25 & 12 \tabularnewline
D & 2 & 6 & 34 & 10 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=267475&T=1

[TABLE]
[ROW][C]Tabulation of Results[/C][/ROW]
[ROW][C]Depressie
  x  Software[/C][/ROW]
[ROW][C] [/C][C]A[/C][C]B[/C][C]C[/C][C]D[/C][/ROW]
[C]A[/C][C]0[/C][C]1[/C][C]4[/C][C]4[/C][/ROW]
[C]B[/C][C]1[/C][C]1[/C][C]8[/C][C]5[/C][/ROW]
[C]C[/C][C]1[/C][C]2[/C][C]25[/C][C]12[/C][/ROW]
[C]D[/C][C]2[/C][C]6[/C][C]34[/C][C]10[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=267475&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=267475&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
Depressie x Software
ABCD
A0144
B1185
C122512
D263410







Tabulation of Expected Results
Depressie x Software
ABCD
A0.310.785.512.41
B0.521.299.184.01
C1.383.4524.4810.69
D1.794.4831.8313.9

\begin{tabular}{lllllllll}
\hline
Tabulation of Expected Results \tabularnewline
Depressie
  x  Software \tabularnewline
  & A & B & C & D \tabularnewline
A & 0.31 & 0.78 & 5.51 & 2.41 \tabularnewline
B & 0.52 & 1.29 & 9.18 & 4.01 \tabularnewline
C & 1.38 & 3.45 & 24.48 & 10.69 \tabularnewline
D & 1.79 & 4.48 & 31.83 & 13.9 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=267475&T=2

[TABLE]
[ROW][C]Tabulation of Expected Results[/C][/ROW]
[ROW][C]Depressie
  x  Software[/C][/ROW]
[ROW][C] [/C][C]A[/C][C]B[/C][C]C[/C][C]D[/C][/ROW]
[C]A[/C][C]0.31[/C][C]0.78[/C][C]5.51[/C][C]2.41[/C][/ROW]
[C]B[/C][C]0.52[/C][C]1.29[/C][C]9.18[/C][C]4.01[/C][/ROW]
[C]C[/C][C]1.38[/C][C]3.45[/C][C]24.48[/C][C]10.69[/C][/ROW]
[C]D[/C][C]1.79[/C][C]4.48[/C][C]31.83[/C][C]13.9[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=267475&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=267475&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
Depressie x Software
ABCD
A0.310.785.512.41
B0.521.299.184.01
C1.383.4524.4810.69
D1.794.4831.8313.9







Statistical Results
Pearson's Chi-squared test with simulated p-value (based on 2000 replicates)
Chi Square Statistic5.42
P value0.81

\begin{tabular}{lllllllll}
\hline
Statistical Results \tabularnewline
Pearson's Chi-squared test with simulated p-value
	 (based on 2000 replicates) \tabularnewline
Chi Square Statistic & 5.42 \tabularnewline
P value & 0.81 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=267475&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]Chi Square Statistic[/C][C]5.42[/C][/ROW]
[ROW][C]P value[/C][C]0.81[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=267475&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=267475&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)
Chi Square Statistic5.42
P value0.81



Parameters (Session):
par1 = 4 ; par2 = 2 ; par3 = Exact Pearson Chi-Squared by Simulation ;
Parameters (R input):
par1 = 4 ; 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 != 'McNemar Chi-Squared') {
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)
a<-table.element(a, 'Chi Square Statistic', 1, TRUE)
a<-table.element(a, round(cst$statistic, digits=2), 1,FALSE)
a<-table.row.end(a)
if(!simulate.p.value){
a<-table.row.start(a)
a<-table.element(a, 'Degrees of Freedom', 1, TRUE)
a<-table.element(a, cst$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')