## Free Statistics

of Irreproducible Research!

Author's title
Author*Unverified author*
R Software Modulerwasp_chi_squared_tests.wasp
Title produced by softwareChi-Squared Test, McNemar Test, and Fisher Exact Test
Date of computationSat, 12 Nov 2011 07:44:20 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Nov/12/t1321101873xhpz103ujwsg7oe.htm/, Retrieved Tue, 05 Mar 2024 00:52:23 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=141445, Retrieved Tue, 05 Mar 2024 00:52:23 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact155
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] [] [2011-11-11 13:51:26] [bc54fcbdb4f9c071218969745a8ec94b]
-    D  [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [Seperateness - De...] [2011-11-12 11:13:05] [586787d3e7267c593af3e1f6b16aa21a]
- R         [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [] [2011-11-12 12:44:20] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
'HI'	'HI'
'LO'	'LO'
'HI'	'HI'
'LO'	'HI'
'HI'	'HI'
'LO'	'HI'
'LO'	'HI'
'HI'	'LO'
'HI'	'LO'
'HI'	'HI'
'LO'	'LO'
'HI'	'LO'
'HI'	'HI'
'HI'	'HI'
'HI'	'LO'
'LO'	'HI'
'LO'	'HI'
'HI'	'LO'
'HI'	'LO'
'LO'	'HI'
'LO'	'LO'
'LO'	'HI'
'HI'	'HI'
'HI'	'HI'
'LO'	'LO'
'LO'	'LO'
'HI'	'LO'
'HI'	'HI'
'LO'	'HI'
'LO'	'HI'
'LO'	'LO'
'LO'	'HI'
'LO'	'LO'
'HI'	'LO'
'LO'	'HI'
'LO'	'LO'
'LO'	'HI'
'LO'	'HI'
'LO'	'LO'
'LO'	'LO'
'LO'	'LO'
'LO'	'HI'
'LO'	'LO'
'LO'	'HI'
'LO'	'LO'
'HI'	'HI'
'HI'	'LO'
'HI'	'LO'
'HI'	'HI'
'LO'	'LO'
'HI'	'LO'
'LO'	'HI'
'LO'	'HI'
'HI'	'HI'
'LO'	'LO'
'LO'	'HI'
'HI'	'HI'
'HI'	'LO'
'HI'	'LO'
'HI'	'HI'
'LO'	'HI'
'HI'	'HI'
'HI'	'HI'
'HI'	'HI'
'LO'	'HI'
'HI'	'LO'
'HI'	'HI'
'LO'	'HI'
'HI'	'HI'
'HI'	'HI'
'HI'	'HI'
'HI'	'HI'
'HI'	'HI'
'HI'	'LO'
'LO'	'LO'
'LO'	'HI'
'HI'	'HI'
'LO'	'HI'
'LO'	'HI'
'LO'	'LO'
'HI'	'LO'
'HI'	'LO'
'HI'	'LO'
'LO'	'HI'
'HI'	'HI'
'LO'	'HI'
'HI'	'HI'
'HI'	'HI'
'LO'	'HI'
'LO'	'HI'
'HI'	'HI'
'LO'	'HI'
'HI'	'HI'
'LO'	'HI'
'LO'	'LO'
'HI'	'LO'
'HI'	'HI'
'LO'	'LO'
'HI'	'LO'
'HI'	'LO'
'HI'	'LO'
'HI'	'HI'
'HI'	'HI'
'LO'	'LO'
'HI'	'HI'
'LO'	'HI'
'HI'	'LO'
'HI'	'HI'
'HI'	'HI'
'HI'	'HI'
'HI'	'HI'
'LO'	'HI'
'HI'	'LO'
'LO'	'HI'
'HI'	'HI'
'LO'	'LO'
'HI'	'HI'
'HI'	'HI'
'HI'	'LO'
'HI'	'HI'
'HI'	'HI'
'LO'	'HI'
'HI'	'LO'
'HI'	'LO'
'LO'	'LO'
'LO'	'LO'
'LO'	'LO'
'HI'	'LO'
'HI'	'LO'
'LO'	'HI'
'LO'	'LO'
'LO'	'HI'
'HI'	'LO'
'LO'	'HI'
'HI'	'HI'
'LO'	'HI'
'LO'	'HI'
'HI'	'HI'
'HI'	'HI'
'HI'	'LO'
'HI'	'HI'
'HI'	'LO'
'HI'	'HI'
'HI'	'HI'
'LO'	'HI'
'LO'	'LO'
'LO'	'HI'
'HI'	'HI'
'LO'	'LO'
'LO'	'HI'
'HI'	'HI'
'HI'	'HI'
'HI'	'LO'
'HI'	'HI'
'HI'	'HI'
'LO'	'HI'
'LO'	'HI'
'HI'	'HI'
'HI'	'LO'
'LO'	'LO'
'HI'	'HI'
'HI'	'HI'


 Summary of computational transaction Raw Input view raw input (R code) Raw Output view raw output of R engine Computing time 2 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 & 2 seconds \tabularnewline
R Server & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=141445&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=141445&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=141445&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 Input view raw input (R code) Raw Output view raw output of R engine Computing time 2 seconds R Server 'George Udny Yule' @ yule.wessa.net

 Tabulation of Results Seperateness x Depression HI LO HI 56 34 LO 44 28

\begin{tabular}{lllllllll}
\hline
Tabulation of Results \tabularnewline
Seperateness  x  Depression \tabularnewline
& HI & LO \tabularnewline
HI & 56 & 34 \tabularnewline
LO & 44 & 28 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=141445&T=1

[TABLE]
[ROW][C]Tabulation of Results[/C][/ROW]
[ROW][C]Seperateness  x  Depression[/C][/ROW]
[ROW][C] [/C][C]HI[/C][C]LO[/C][/ROW]
[C]HI[/C][C]56[/C][C]34[/C][/ROW]
[C]LO[/C][C]44[/C][C]28[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=141445&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=141445&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 Seperateness x Depression HI LO HI 56 34 LO 44 28

 Tabulation of Expected Results Seperateness x Depression HI LO HI 55.56 34.44 LO 44.44 27.56

\begin{tabular}{lllllllll}
\hline
Tabulation of Expected Results \tabularnewline
Seperateness  x  Depression \tabularnewline
& HI & LO \tabularnewline
HI & 55.56 & 34.44 \tabularnewline
LO & 44.44 & 27.56 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=141445&T=2

[TABLE]
[ROW][C]Tabulation of Expected Results[/C][/ROW]
[ROW][C]Seperateness  x  Depression[/C][/ROW]
[ROW][C] [/C][C]HI[/C][C]LO[/C][/ROW]
[C]HI[/C][C]55.56[/C][C]34.44[/C][/ROW]
[C]LO[/C][C]44.44[/C][C]27.56[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=141445&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=141445&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 Seperateness x Depression HI LO HI 55.56 34.44 LO 44.44 27.56

 Statistical Results Pearson's Chi-squared test with Yates' continuity correction Pearson Chi Square Statistic 0 Degrees of Freedom 1 P value 0.99

\begin{tabular}{lllllllll}
\hline
Statistical Results \tabularnewline
Pearson's Chi-squared test with Yates' continuity correction \tabularnewline
Pearson Chi Square Statistic & 0 \tabularnewline
Degrees of Freedom & 1 \tabularnewline
P value & 0.99 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=141445&T=3

[TABLE]
[ROW][C]Statistical Results[/C][/ROW]
[ROW][C]Pearson's Chi-squared test with Yates' continuity correction[/C][/ROW]
[ROW][C]Pearson Chi Square Statistic[/C][C]0[/C][/ROW]
[ROW][C]Degrees of Freedom[/C][C]1[/C][/ROW]
[ROW][C]P value[/C][C]0.99[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=141445&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=141445&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 Yates' continuity correction Pearson Chi Square Statistic 0 Degrees of Freedom 1 P value 0.99

library(vcd)cat1 <- as.numeric(par1) #cat2<- as.numeric(par2) #simulate.p.value=FALSEif (par3 == 'Exact Pearson Chi-Squared by Simulation') simulate.p.value=TRUEx <- 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')