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Description of Statistical Computation

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 computationFri, 21 Dec 2012 17:01:05 -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/2012/Dec/21/t13561273251lugxackuortelp.htm/, Retrieved Tue, 16 Apr 2024 13:11:05 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=204334, Retrieved Tue, 16 Apr 2024 13:11:05 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact86

Tree of Dependent Computations

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 14:37:52] [b98453cac15ba1066b407e146608df68]
- R P   [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [paper deel 2 chi ...] [2012-12-14 14:04:25] [97c624f8202925579dccb4f50bae925c]
-   P     [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [paper deel 2 exac...] [2012-12-14 14:22:53] [97c624f8202925579dccb4f50bae925c]
-   PD      [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [paper deel 5 chi ...] [2012-12-20 15:34:48] [74be16979710d4c4e7c6647856088456]
-             [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [Paper deel 5 Chi ...] [2012-12-20 16:43:38] [783d8509970888a6ec44a5a7a0d2a339]
-   P             [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [Paper: deel 5] [2012-12-21 22:01:05] [bc573787f42e47ef4ac463240ca6f4b1] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
4	'Yes'	1	NA	'NoStats'	2	'No'	'Good'
4	'No'	2	NA	'NoStats'	2	'No'	'Bad'
4	'No'	2	NA	'NoStats'	2	'No'	'Bad'
4	'No'	2	NA	'NoStats'	2	'No'	'Bad'
4	'No'	2	NA	'NoStats'	2	'No'	'Bad'
4	'Yes'	2	NA	'NoStats'	2	'Yes'	'Good'
4	'No'	2	NA	'NoStats'	2	'No'	'Bad'
4	'No'	1	NA	'NoStats'	2	'No'	'Bad'
4	'No'	2	NA	'NoStats'	2	'No'	'Good'
4	'Yes'	2	NA	'NoStats'	2	'No'	'Bad'
4	'Yes'	1	NA	'NoStats'	2	'No'	'Bad'
4	'No'	2	NA	'NoStats'	2	'No'	'Bad'
4	'No'	2	NA	'UsedStats'	2	'Yes'	'Bad'
4	'Yes'	1	NA	'NoStats'	2	'No'	'Bad'
4	'No'	2	NA	'UsedStats'	2	'Yes'	'Good'
4	'No'	1	NA	'UsedStats'	2	'Yes'	'Good'
4	'Yes'	1	NA	'UsedStats'	1	'Yes'	'Bad'
4	'Yes'	1	NA	'NoStats'	2	'No'	'Bad'
4	'No'	2	NA	'NoStats'	2	'No'	'Good'
4	'No'	1	NA	'UsedStats'	1	'Yes'	'Good'
4	'Yes'	2	NA	'NoStats'	2	'Yes'	'Bad'
4	'Yes'	2	NA	'UsedStats'	2	'Yes'	'Good'
4	'No'	2	NA	'NoStats'	2	'Yes'	'Good'
4	'Yes'	2	NA	'NoStats'	2	'Yes'	'Good'
4	'No'	1	NA	'UsedStats'	2	'No'	'Good'
4	'No'	2	NA	'UsedStats'	2	'Yes'	'Bad'
4	'Yes'	2	NA	'NoStats'	2	'No'	'Good'
4	'No'	2	NA	'UsedStats'	2	'No'	'Bad'
4	'No'	2	NA	'NoStats'	2	'No'	'Good'
4	'No'	2	NA	'NoStats'	2	'Yes'	'Bad'
4	'No'	2	NA	'NoStats'	2	'No'	'Bad'
4	'Yes'	2	NA	'NoStats'	2	'No'	'Bad'
4	'Yes'	2	NA	'NoStats'	2	'Yes'	'Bad'
4	'No'	1	NA	'NoStats'	2	'No'	'Good'
4	'No'	2	NA	'NoStats'	2	'No'	'Bad'
4	'No'	2	NA	'NoStats'	2	'No'	'Bad'
4	'Yes'	1	NA	'UsedStats'	2	'Yes'	'Bad'
4	'No'	2	NA	'UsedStats'	2	'No'	'Good'
4	'No'	2	NA	'NoStats'	2	'Yes'	'Good'
4	'No'	1	NA	'NoStats'	2	'Yes'	'Bad'
4	'No'	2	NA	'UsedStats'	1	'Yes'	'Good'
4	'No'	2	NA	'UsedStats'	2	'No'	'Good'
4	'Yes'	2	NA	'NoStats'	2	'Yes'	'Good'
4	'Yes'	1	NA	'NoStats'	2	'No'	'Bad'
4	'No'	2	NA	'NoStats'	2	'Yes'	'Bad'
4	'No'	2	NA	'NoStats'	2	'Yes'	'Good'
4	'No'	2	NA	'NoStats'	2	'No'	'Bad'
4	'No'	2	NA	'NoStats'	2	'No'	'Good'
4	'No'	2	NA	'NoStats'	2	'Yes'	'Good'
4	'No'	2	NA	'NoStats'	2	'No'	'Bad'
4	'No'	1	NA	'UsedStats'	2	'No'	'Bad'
4	'Yes'	1	NA	'UsedStats'	1	'Yes'	'Bad'
4	'No'	2	NA	'NoStats'	2	'No'	'Good'
4	'No'	2	NA	'UsedStats'	1	'No'	'Bad'
4	'No'	2	NA	'NoStats'	2	'No'	'Bad'
4	'No'	1	NA	'UsedStats'	2	'No'	'Good'
4	'No'	2	NA	'UsedStats'	2	'Yes'	'Good'
4	'No'	2	NA	'NoStats'	2	'No'	'Good'
4	'No'	2	NA	'NoStats'	2	'No'	'Good'
4	'Yes'	1	NA	'UsedStats'	1	'Yes'	'Good'
4	'Yes'	1	NA	'NoStats'	2	'No'	'Good'
4	'No'	2	NA	'UsedStats'	2	'Yes'	'Bad'
4	'No'	2	NA	'NoStats'	2	'No'	'Bad'
4	'Yes'	1	NA	'NoStats'	2	'No'	'Good'
4	'No'	2	NA	'NoStats'	2	'No'	'Bad'
4	'No'	2	NA	'NoStats'	2	'No'	'Bad'
4	'No'	1	NA	'UsedStats'	1	'Yes'	'Bad'
4	'Yes'	2	NA	'NoStats'	2	'No'	'Bad'
4	'No'	2	NA	'NoStats'	2	'No'	'Good'
4	'No'	2	NA	'UsedStats'	2	'No'	'Bad'
4	'No'	2	NA	'NoStats'	2	'No'	'Bad'
4	'No'	2	NA	'NoStats'	2	'No'	'Good'
4	'No'	2	NA	'UsedStats'	2	'No'	'Good'
4	'Yes'	2	NA	'UsedStats'	2	'No'	'Bad'
4	'No'	2	NA	'NoStats'	2	'No'	'Good'
4	'No'	1	NA	'NoStats'	2	'Yes'	'Good'
4	'No'	2	NA	'NoStats'	2	'No'	'Good'
4	'No'	2	NA	'UsedStats'	2	'Yes'	'Good'
4	'No'	1	NA	'UsedStats'	1	'No'	'Good'
4	'No'	1	NA	'NoStats'	2	'Yes'	'Bad'
4	'No'	2	NA	'NoStats'	2	'No'	'Bad'
4	'Yes'	2	NA	'UsedStats'	2	'No'	'Good'
4	'No'	2	NA	'NoStats'	2	'No'	'Bad'
4	'No'	2	NA	'UsedStats'	1	'No'	'Bad'
4	'No'	2	NA	'NoStats'	2	'Yes'	'Good'
4	'Yes'	2	NA	'NoStats'	2	'No'	'Bad'

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ wold.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 & 3 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=204334&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=204334&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=204334&T=0

As an alternative you can also use a QR Code:  
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 time3 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net






Tabulation of Results
stats x correctanalysis
12
NoStats058
UsedStats919

\begin{tabular}{lllllllll}
\hline
Tabulation of Results \tabularnewline
stats  x  correctanalysis \tabularnewline
  & 1 & 2 \tabularnewline
NoStats & 0 & 58 \tabularnewline
UsedStats & 9 & 19 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=204334&T=1

[TABLE]
[ROW][C]Tabulation of Results[/C][/ROW]
[ROW][C]stats  x  correctanalysis[/C][/ROW]
[ROW][C] [/C][C]1[/C][C]2[/C][/ROW]
[C]NoStats[/C][C]0[/C][C]58[/C][/ROW]
[C]UsedStats[/C][C]9[/C][C]19[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=204334&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=204334&T=1

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Tabulation of Results
stats x correctanalysis
12
NoStats058
UsedStats919






Tabulation of Expected Results
stats x correctanalysis
12
NoStats6.0751.93
UsedStats2.9325.07

\begin{tabular}{lllllllll}
\hline
Tabulation of Expected Results \tabularnewline
stats  x  correctanalysis \tabularnewline
  & 1 & 2 \tabularnewline
NoStats & 6.07 & 51.93 \tabularnewline
UsedStats & 2.93 & 25.07 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=204334&T=2

[TABLE]
[ROW][C]Tabulation of Expected Results[/C][/ROW]
[ROW][C]stats  x  correctanalysis[/C][/ROW]
[ROW][C] [/C][C]1[/C][C]2[/C][/ROW]
[C]NoStats[/C][C]6.07[/C][C]51.93[/C][/ROW]
[C]UsedStats[/C][C]2.93[/C][C]25.07[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=204334&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=204334&T=2

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Tabulation of Expected Results
stats x correctanalysis
12
NoStats6.0751.93
UsedStats2.9325.07






Statistical Results
Pearson's Chi-squared test with simulated p-value (based on 2000 replicates)
Chi Square Statistic20.82
P value0

\begin{tabular}{lllllllll}
\hline
Statistical Results \tabularnewline
Pearson's Chi-squared test with simulated p-value
	 (based on 2000 replicates) \tabularnewline
Chi Square Statistic & 20.82 \tabularnewline
P value & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=204334&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]20.82[/C][/ROW]
[ROW][C]P value[/C][C]0[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=204334&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=204334&T=3

As an alternative you can also use a QR Code:  
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 Statistic20.82
P value0


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 5 ; par2 = 6 ; par3 = Exact Pearson Chi-Squared by Simulation ;
Parameters (R input):
par1 = 5 ; par2 = 6 ; 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')