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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 computationSat, 06 Dec 2014 16:52:11 +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/06/t1417884751k65l8ernkp2z0ut.htm/, Retrieved Thu, 16 May 2024 13:43:32 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=263657, Retrieved Thu, 16 May 2024 13:43:32 +0000
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IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact93
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] [Deel 2 3] [2014-12-06 16:52:11] [7de4f24d5c21ad7c83693f758b02221d] [Current]
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Dataseries X:
"'NG'" "'>60u'"
"'NG'" "'30-60u'"
"'NG'" "'30-60u'"
"'G'" "'>60u'"
"'G'" "'30-60u'"
"'NG'" "'30-60u'"
"'NG'" "'>60u'"
"'NG'" "'>60u'"
"'NG'" "'>60u'"
"'G'" "'30-60u'"
"'NG'" "'30-60u'"
"'G'" "'>60u'"
"'NG'" "'30-60u'"
"'NG'" "'>60u'"
"'G'" "'<30u'"
"'NG'" "'30-60u'"
"'NG'" "'>60u'"
"'G'" "'30-60u'"
"'G'" "'30-60u'"
"'NG'" "'30-60u'"
"'G'" "'<30u'"
"'NG'" "'<30u'"
"'NG'" "'30-60u'"
"'NG'" "'>60u'"
"'NG'" "'30-60u'"
"'NG'" "'>60u'"
"'Goed'" "'>60u'"
"'NG'" "'30-60u'"
"'G'" "'>60u'"
"'NG'" "'30-60u'"
"'G'" "'30-60u'"
"'NG'" "'30-60u'"
"'G'" "'30-60u'"
"'G'" "'30-60u'"
"'NG'" "'30-60u'"
"'NG'" "'30-60u'"
"'NG'" "'30-60u'"
"'NG'" "'<30u'"
"'G'" "'30-60u'"
"'NG'" "'30-60u'"
"'G'" "'30-60u'"
"'NG'" "'30-60u'"
"'NG'" "'30-60u'"
"'NG'" "'30-60u'"
"'NG'" "'30-60u'"
"'NG'" "'30-60u'"
"'NG'" "'30-60u'"
"'G'" "'30-60u'"
"'NG'" "'30-60u'"
"'NG'" "'<30u'"
"'NG'" "'30-60u'"
"'G'" "'<30u'"
"'NG'" "'30-60u'"
"'NG'" "'<30u'"
"'NG'" "'30-60u'"
"'NG'" "'30-60u'"
"'G'" "'<30u'"
"'NG'" "'30-60u'"
"'G'" "'<30u'"
"'NG'" "'30-60u'"
"'G'" "'>60u'"
"'NG'" "'<30u'"
"'G'" "'30-60u'"
"'Goed'" "'>60u'"
"'G'" "'30-60u'"
"'G'" "'<30u'"
"'NG'" "'>60u'"
"'NG'" "'>60u'"
"'NG'" "'<30u'"
"'NG'" "'30-60u'"
"'NG'" "'30-60u'"
"'NG'" "'<30u'"
"'G'" "'30-60u'"
"'NG'" "'30-60u'"
"'NG'" "'30-60u'"
"'Goed'" "'<30u'"
"'NG'" "'30-60u'"
"'NG'" "'<30u'"
"'NG'" "'>60u'"
"'G'" "'<30u'"
"'G'" "'30-60u'"
"'NG'" "'30-60u'"
"'NG'" "'<30u'"
"'NG'" "'30-60u'"
"'G'" "'<30u'"
"'NG'" "'30-60u'"
"'NG'" "'>60u'"
"'NG'" "'30-60u'"
"'NG'" "'<30u'"
"'G'" "'<30u'"
"'NG'" "'30-60u'"
"'NG'" "'30-60u'"
"'G'" "'<30u'"
"'G'" "'30-60u'"
"'G'" "'<30u'"
"'G'" "'<30u'"
"'G'" "'<30u'"
"'G'" "'30-60u'"
"'NG'" "'<30u'"
"'NG'" "'<30u'"
"'G'" "'30-60u'"
"'NG'" "'30-60u'"
"'NG'" "'30-60u'"
"'G'" "'<30u'"
"'G'" "'30-60u'"
"'NG'" "'30-60u'"
"'G'" "'30-60u'"
"'NG'" "'<30u'"
"'G'" "'30-60u'"
"'G'" "'<30u'"
"'G'" "'30-60u'"
"'NG'" "'<30u'"
"'NG'" "'<30u'"
"'G'" "'<30u'"
"'NG'" "'30-60u'"
"'Goed'" "'30-60u'"
"'Goed'" "'30-60u'"
"'Goed'" "'>60u'"
"'NG'" "'<30u'"
"'Goed'" "'>60u'"
"'Goed'" "'>60u'"
"'Goed'" "'>60u'"
"'NG'" "'<30u'"
"'Goed'" "'30-60u'"
"'NG'" "'<30u'"
"'NG'" "'30-60u'"
"'NG'" "'<30u'"
"'Goed'" "'30-60u'"
"'NG'" "'30-60u'"
"'Goed'" "'>60u'"
"'NG'" "'<30u'"
"'NG'" "'<30u'"
"'Goed'" "'>60u'"
"'NG'" "'30-60u'"
"'NG'" "'30-60u'"
"'NG'" "'<30u'"
"'NG'" "'30-60u'"
"'Goed'" "'<30u'"
"'G'" "'<30u'"
"'Goed'" "'>60u'"
"'Goed'" "'>60u'"
"'NG'" "'<30u'"
"'Goed'" "'<30u'"
"'Goed'" "'>60u'"
"'Goed'" "'30-60u'"
"'Goed'" "'30-60u'"
"'Goed'" "'>60u'"
"'NG'" "'30-60u'"
"'NG'" "'30-60u'"
"'NG'" "'30-60u'"
"'Goed'" "'30-60u'"
"'G'" "'30-60u'"
"'Goed'" "'>60u'"
"'Goed'" "'30-60u'"
"'Goed'" "'30-60u'"
"'NG'" "'<30u'"
"'NG'" "'30-60u'"
"'Goed'" "'>60u'"
"'Goed'" "'30-60u'"
"'NG'" "'>60u'"
"'NG'" "'30-60u'"
"'Goed'" "'>60u'"
"'Goed'" "'30-60u'"
"'Goed'" "'>60u'"
"'Goed'" "'<30u'"
"'Goed'" "'>60u'"
"'NG'" "'<30u'"
"'Goed'" "'>60u'"
"'Goed'" "'<30u'"
"'NG'" "'30-60u'"
"'NG'" "'30-60u'"
"'Goed'" "'30-60u'"
"'Goed'" "'30-60u'"
"'NG'" "'30-60u'"
"'Goed'" "'<30u'"
"'Goed'" "'<30u'"
"'Goed'" "'30-60u'"
"'NG'" "'30-60u'"
"'Goed'" "'30-60u'"
"'Goed'" "'30-60u'"
"'G'" "'<30u'"
"'NG'" "'>60u'"
"'NG'" "'30-60u'"
"'Goed'" "'>60u'"
"'Goed'" "'30-60u'"
"'NG'" "'<30u'"
"'Goed'" "'30-60u'"
"'Goed'" "'<30u'"
"'NG'" "'30-60u'"
"'NG'" "'<30u'"
"'NG'" "'30-60u'"
"'NG'" "'<30u'"
"'Goed'" "'30-60u'"
"'G'" "'<30u'"
"'Goed'" "'30-60u'"
"'NG'" "'30-60u'"
"'NG'" "'30-60u'"
"'NG'" "'30-60u'"
"'NG'" "'30-60u'"
"'NG'" "'<30u'"
"'Goed'" "'30-60u'"
"'Goed'" "'30-60u'"
"'NG'" "'<30u'"
"'NG'" "'30-60u'"
"'Goed'" "'30-60u'"
"'NG'" "'<30u'"
"'NG'" "'<30u'"
"'G'" "'30-60u'"
"'NG'" "'<30u'"
"'Goed'" "'>60u'"
"'Goed'" "'30-60u'"
"'NG'" "'30-60u'"
"'Goed'" "'<30u'"
"'NG'" "'>60u'"
"'NG'" "'<30u'"
"'Goed'" "'>60u'"
"'NG'" "'30-60u'"
"'Goed'" "'30-60u'"
"'Goed'" "'30-60u'"
"'NG'" "'30-60u'"
"'Goed'" "'30-60u'"
"'Goed'" "'30-60u'"
"'G'" "'30-60u'"
"'NG'" "'<30u'"
"'Goed'" "'<30u'"
"'Goed'" "'30-60u'"
"'Goed'" "'<30u'"
"'Goed'" "'<30u'"
"'Goed'" "'30-60u'"
"'Goed'" "'>60u'"
"'Goed'" "'30-60u'"
"'Goed'" "'<30u'"
"'Goed'" "'>60u'"
"'NG'" "'<30u'"
"'NG'" "'<30u'"
"'G'" "'<30u'"
"'G'" "'<30u'"
"'NG'" "'<30u'"
"'NG'" "'30-60u'"
"'NG'" "'30-60u'"
"'NG'" "'<30u'"
"'NG'" "'30-60u'"
"'NG'" "'30-60u'"
"'NG'" "'30-60u'"
"'Goed'" "'>60u'"
"'NG'" "'<30u'"
"'NG'" "'30-60u'"
"'Goed'" "'>60u'"
"'NG'" "'<30u'"
"'Goed'" "'>60u'"
"'NG'" "'<30u'"
"'NG'" "'<30u'"
"'NG'" "'30-60u'"
"'NG'" "'30-60u'"
"'Goed'" "'>60u'"
"'NG'" "'30-60u'"
"'Goed'" "'30-60u'"
"'G'" "'<30u'"
"'G'" "'<30u'"
"'NG'" "'30-60u'"
"'G'" "'30-60u'"
"'NG'" "'<30u'"
"'NG'" "'30-60u'"
"'G'" "'30-60u'"
"'NG'" "'30-60u'"
"'Goed'" "'30-60u'"
"'NG'" "'30-60u'"
"'NG'" "'<30u'"
"'Goed'" "'30-60u'"
"'Goed'" "'30-60u'"
"'NG'" "'30-60u'"
"'Goed'" "'<30u'"
"'NG'" "'<30u'"
"'Goed'" "'30-60u'"
"'Goed'" "'>60u'"
"'Goed'" "'30-60u'"
"'NG'" "'30-60u'"
"'Goed'" "'30-60u'"
"'G'" "'<30u'"





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Maurice George Kendall' @ kendall.wessa.net
R Framework error message
Warning: there are blank lines in the 'Data X' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.

\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 & 2 seconds \tabularnewline
R Server & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
R Framework error message & 
Warning: there are blank lines in the 'Data X' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.
\tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=263657&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[ROW][C]R Framework error message[/C][C]
Warning: there are blank lines in the 'Data X' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.
[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=263657&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=263657&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 time2 seconds
R Server'Sir Maurice George Kendall' @ kendall.wessa.net
R Framework error message
Warning: there are blank lines in the 'Data X' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.







Tabulation of Results
TOT_(delen) x CH_(delen)
'30-60u''<30u''>60u'
'G'26244
'Goed'381428
'NG'844615

\begin{tabular}{lllllllll}
\hline
Tabulation of Results \tabularnewline
TOT_(delen)  x  CH_(delen) \tabularnewline
  & '30-60u' & '<30u' & '>60u' \tabularnewline
'G' & 26 & 24 & 4 \tabularnewline
'Goed' & 38 & 14 & 28 \tabularnewline
'NG' & 84 & 46 & 15 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=263657&T=1

[TABLE]
[ROW][C]Tabulation of Results[/C][/ROW]
[ROW][C]TOT_(delen)  x  CH_(delen)[/C][/ROW]
[ROW][C] [/C][C]'30-60u'[/C][C]'<30u'[/C][C]'>60u'[/C][/ROW]
[C]'G'[/C][C]26[/C][C]24[/C][C]4[/C][/ROW]
[C]'Goed'[/C][C]38[/C][C]14[/C][C]28[/C][/ROW]
[C]'NG'[/C][C]84[/C][C]46[/C][C]15[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=263657&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=263657&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
TOT_(delen) x CH_(delen)
'30-60u''<30u''>60u'
'G'26244
'Goed'381428
'NG'844615







Tabulation of Expected Results
TOT_(delen) x CH_(delen)
'30-60u''<30u''>60u'
'G'28.6516.269.1
'Goed'42.4424.0913.48
'NG'76.9243.6624.43

\begin{tabular}{lllllllll}
\hline
Tabulation of Expected Results \tabularnewline
TOT_(delen)  x  CH_(delen) \tabularnewline
  & '30-60u' & '<30u' & '>60u' \tabularnewline
'G' & 28.65 & 16.26 & 9.1 \tabularnewline
'Goed' & 42.44 & 24.09 & 13.48 \tabularnewline
'NG' & 76.92 & 43.66 & 24.43 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=263657&T=2

[TABLE]
[ROW][C]Tabulation of Expected Results[/C][/ROW]
[ROW][C]TOT_(delen)  x  CH_(delen)[/C][/ROW]
[ROW][C] [/C][C]'30-60u'[/C][C]'<30u'[/C][C]'>60u'[/C][/ROW]
[C]'G'[/C][C]28.65[/C][C]16.26[/C][C]9.1[/C][/ROW]
[C]'Goed'[/C][C]42.44[/C][C]24.09[/C][C]13.48[/C][/ROW]
[C]'NG'[/C][C]76.92[/C][C]43.66[/C][C]24.43[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=263657&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=263657&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
TOT_(delen) x CH_(delen)
'30-60u''<30u''>60u'
'G'28.6516.269.1
'Goed'42.4424.0913.48
'NG'76.9243.6624.43







Statistical Results
Pearson's Chi-squared test
Pearson Chi Square Statistic31.54
Degrees of Freedom4
P value0

\begin{tabular}{lllllllll}
\hline
Statistical Results \tabularnewline
Pearson's Chi-squared test \tabularnewline
Pearson Chi Square Statistic & 31.54 \tabularnewline
Degrees of Freedom & 4 \tabularnewline
P value & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=263657&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]31.54[/C][/ROW]
[ROW][C]Degrees of Freedom[/C][C]4[/C][/ROW]
[ROW][C]P value[/C][C]0[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=263657&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=263657&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 Statistic31.54
Degrees of Freedom4
P value0



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):
par3 <- 'Pearson Chi-Squared'
par2 <- ''
par1 <- ''
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')