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Description of Statistical Computation

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 computationFri, 21 Dec 2012 12:28:33 -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/t1356110922gkjfya8drs3s8yw.htm/, Retrieved Tue, 10 Feb 2026 18:54:01 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=204004, Retrieved Tue, 10 Feb 2026 18:54:01 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact358

Tree of Dependent Computations

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] [Chi-kwadraat ] [2012-12-13 21:17:59] [b8fff3381cd5ab6dded5825409053f97]
- R       [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [] [2012-12-21 17:28:33] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
4	'Yes'	'Treatment'	NA	'NoStats'	'No'	'No'	'Good'	1
4	'No'	'NoTreatment'	NA	'NoStats'	'No'	'No'	'Bad'	0
4	'No'	'NoTreatment'	NA	'NoStats'	'No'	'No'	'Bad'	0
4	'No'	'NoTreatment'	NA	'NoStats'	'No'	'No'	'Bad'	0
4	'No'	'NoTreatment'	NA	'NoStats'	'No'	'No'	'Bad'	0
4	'Yes'	'NoTreatment'	NA	'NoStats'	'No'	'Yes'	'Good'	0
4	'No'	'NoTreatment'	NA	'NoStats'	'No'	'No'	'Bad'	0
4	'No'	'Treatment'	NA	'NoStats'	'No'	'No'	'Bad'	1
4	'No'	'NoTreatment'	NA	'NoStats'	'No'	'No'	'Good'	0
4	'Yes'	'NoTreatment'	NA	'NoStats'	'No'	'No'	'Bad'	0
4	'Yes'	'Treatment'	NA	'NoStats'	'No'	'No'	'Bad'	1
4	'No'	'NoTreatment'	NA	'NoStats'	'No'	'No'	'Bad'	0
4	'No'	'NoTreatment'	NA	'UsedStats'	'No'	'Yes'	'Bad'	0
4	'Yes'	'Treatment'	NA	'NoStats'	'No'	'No'	'Bad'	1
4	'No'	'NoTreatment'	NA	'UsedStats'	'No'	'Yes'	'Good'	0
4	'No'	'Treatment'	NA	'UsedStats'	'No'	'Yes'	'Good'	1
4	'Yes'	'Treatment'	NA	'UsedStats'	'Yes'	'Yes'	'Bad'	1
4	'Yes'	'Treatment'	NA	'NoStats'	'No'	'No'	'Bad'	1
4	'No'	'NoTreatment'	NA	'NoStats'	'No'	'No'	'Good'	0
4	'No'	'Treatment'	NA	'UsedStats'	'Yes'	'Yes'	'Good'	1
4	'Yes'	'NoTreatment'	NA	'NoStats'	'No'	'Yes'	'Bad'	0
4	'Yes'	'NoTreatment'	NA	'UsedStats'	'No'	'Yes'	'Good'	0
4	'No'	'NoTreatment'	NA	'NoStats'	'No'	'Yes'	'Good'	0
4	'Yes'	'NoTreatment'	NA	'NoStats'	'No'	'Yes'	'Good'	0
4	'No'	'Treatment'	NA	'UsedStats'	'No'	'No'	'Good'	1
4	'No'	'NoTreatment'	NA	'UsedStats'	'No'	'Yes'	'Bad'	0
4	'Yes'	'NoTreatment'	NA	'NoStats'	'No'	'No'	'Good'	0
4	'No'	'NoTreatment'	NA	'UsedStats'	'No'	'No'	'Bad'	0
4	'No'	'NoTreatment'	NA	'NoStats'	'No'	'No'	'Good'	0
4	'No'	'NoTreatment'	NA	'NoStats'	'No'	'Yes'	'Bad'	0
4	'No'	'NoTreatment'	NA	'NoStats'	'No'	'No'	'Bad'	0
4	'Yes'	'NoTreatment'	NA	'NoStats'	'No'	'No'	'Bad'	0
4	'Yes'	'NoTreatment'	NA	'NoStats'	'No'	'Yes'	'Bad'	0
4	'No'	'Treatment'	NA	'NoStats'	'No'	'No'	'Good'	1
4	'No'	'NoTreatment'	NA	'NoStats'	'No'	'No'	'Bad'	0
4	'No'	'NoTreatment'	NA	'NoStats'	'No'	'No'	'Bad'	0
4	'Yes'	'Treatment'	NA	'UsedStats'	'No'	'Yes'	'Bad'	1
4	'No'	'NoTreatment'	NA	'UsedStats'	'No'	'No'	'Good'	0
4	'No'	'NoTreatment'	NA	'NoStats'	'No'	'Yes'	'Good'	0
4	'No'	'Treatment'	NA	'NoStats'	'No'	'Yes'	'Bad'	1
4	'No'	'NoTreatment'	NA	'UsedStats'	'Yes'	'Yes'	'Good'	0
4	'No'	'NoTreatment'	NA	'UsedStats'	'No'	'No'	'Good'	0
4	'Yes'	'NoTreatment'	NA	'NoStats'	'No'	'Yes'	'Good'	0
4	'Yes'	'Treatment'	NA	'NoStats'	'No'	'No'	'Bad'	1
4	'No'	'NoTreatment'	NA	'NoStats'	'No'	'Yes'	'Bad'	0
4	'No'	'NoTreatment'	NA	'NoStats'	'No'	'Yes'	'Good'	0
4	'No'	'NoTreatment'	NA	'NoStats'	'No'	'No'	'Bad'	0
4	'No'	'NoTreatment'	NA	'NoStats'	'No'	'No'	'Good'	0
4	'No'	'NoTreatment'	NA	'NoStats'	'No'	'Yes'	'Good'	0
4	'No'	'NoTreatment'	NA	'NoStats'	'No'	'No'	'Bad'	0
4	'No'	'Treatment'	NA	'UsedStats'	'No'	'No'	'Bad'	1
4	'Yes'	'Treatment'	NA	'UsedStats'	'Yes'	'Yes'	'Bad'	1
4	'No'	'NoTreatment'	NA	'NoStats'	'No'	'No'	'Good'	0
4	'No'	'NoTreatment'	NA	'UsedStats'	'Yes'	'No'	'Bad'	0
4	'No'	'NoTreatment'	NA	'NoStats'	'No'	'No'	'Bad'	0
4	'No'	'Treatment'	NA	'UsedStats'	'No'	'No'	'Good'	1
4	'No'	'NoTreatment'	NA	'UsedStats'	'No'	'Yes'	'Good'	0
4	'No'	'NoTreatment'	NA	'NoStats'	'No'	'No'	'Good'	0
4	'No'	'NoTreatment'	NA	'NoStats'	'No'	'No'	'Good'	0
4	'Yes'	'Treatment'	NA	'UsedStats'	'Yes'	'Yes'	'Good'	1
4	'Yes'	'Treatment'	NA	'NoStats'	'No'	'No'	'Good'	1
4	'No'	'NoTreatment'	NA	'UsedStats'	'No'	'Yes'	'Bad'	0
4	'No'	'NoTreatment'	NA	'NoStats'	'No'	'No'	'Bad'	0
4	'Yes'	'Treatment'	NA	'NoStats'	'No'	'No'	'Good'	1
4	'No'	'NoTreatment'	NA	'NoStats'	'No'	'No'	'Bad'	0
4	'No'	'NoTreatment'	NA	'NoStats'	'No'	'No'	'Bad'	0
4	'No'	'Treatment'	NA	'UsedStats'	'Yes'	'Yes'	'Bad'	1
4	'Yes'	'NoTreatment'	NA	'NoStats'	'No'	'No'	'Bad'	0
4	'No'	'NoTreatment'	NA	'NoStats'	'No'	'No'	'Good'	0
4	'No'	'NoTreatment'	NA	'UsedStats'	'No'	'No'	'Bad'	0
4	'No'	'NoTreatment'	NA	'NoStats'	'No'	'No'	'Bad'	0
4	'No'	'NoTreatment'	NA	'NoStats'	'No'	'No'	'Good'	0
4	'No'	'NoTreatment'	NA	'UsedStats'	'No'	'No'	'Good'	0
4	'Yes'	'NoTreatment'	NA	'UsedStats'	'No'	'No'	'Bad'	0
4	'No'	'NoTreatment'	NA	'NoStats'	'No'	'No'	'Good'	0
4	'No'	'Treatment'	NA	'NoStats'	'No'	'Yes'	'Good'	1
4	'No'	'NoTreatment'	NA	'NoStats'	'No'	'No'	'Good'	0
4	'No'	'NoTreatment'	NA	'UsedStats'	'No'	'Yes'	'Good'	0
4	'No'	'Treatment'	NA	'UsedStats'	'Yes'	'No'	'Good'	1
4	'No'	'Treatment'	NA	'NoStats'	'No'	'Yes'	'Bad'	1
4	'No'	'NoTreatment'	NA	'NoStats'	'No'	'No'	'Bad'	0
4	'Yes'	'NoTreatment'	NA	'UsedStats'	'No'	'No'	'Good'	0
4	'No'	'NoTreatment'	NA	'NoStats'	'No'	'No'	'Bad'	0
4	'No'	'NoTreatment'	NA	'UsedStats'	'Yes'	'No'	'Bad'	0
4	'No'	'NoTreatment'	NA	'NoStats'	'No'	'Yes'	'Good'	0
4	'Yes'	'NoTreatment'	NA	'NoStats'	'No'	'No'	'Bad'	0
2	'Yes'	NA	'NoTreatment'	'NoStats'	'No'	'No'	'Good'	2
2	'Yes'	NA	'Treatment'	'UsedStats'	'No'	'No'	'Good'	3
2	'No'	NA	'NoTreatment'	'NoStats'	'No'	'No'	'Bad'	2
2	'No'	NA	'NoTreatment'	'NoStats'	'No'	'No'	'Good'	2
2	'No'	NA	'NoTreatment'	'NoStats'	'No'	'Yes'	'Bad'	2
2	'Yes'	NA	'Treatment'	'NoStats'	'No'	'No'	'Bad'	3
2	'Yes'	NA	'NoTreatment'	'NoStats'	'No'	'Yes'	'Bad'	2
2	'No'	NA	'NoTreatment'	'NoStats'	'No'	'No'	'Bad'	2
2	'No'	NA	'Treatment'	'NoStats'	'No'	'No'	'Bad'	3
2	'No'	NA	'NoTreatment'	'NoStats'	'No'	'No'	'Good'	2
2	'Yes'	NA	'Treatment'	'NoStats'	'No'	'No'	'Bad'	3
2	'No'	NA	'NoTreatment'	'NoStats'	'No'	'No'	'Bad'	2
2	'Yes'	NA	'NoTreatment'	'NoStats'	'No'	'No'	'Bad'	2
2	'No'	NA	'NoTreatment'	'NoStats'	'No'	'No'	'Good'	2
2	'Yes'	NA	'NoTreatment'	'NoStats'	'No'	'No'	'Good'	2
2	'No'	NA	'NoTreatment'	'NoStats'	'No'	'No'	'Bad'	2
2	'No'	NA	'NoTreatment'	'NoStats'	'No'	'No'	'Bad'	2
2	'No'	NA	'NoTreatment'	'NoStats'	'No'	'No'	'Bad'	2
2	'No'	NA	'Treatment'	'UsedStats'	'No'	'No'	'Bad'	3
2	'No'	NA	'NoTreatment'	'NoStats'	'No'	'No'	'Bad'	2
2	'No'	NA	'NoTreatment'	'NoStats'	'No'	'No'	'Bad'	2
2	'Yes'	NA	'Treatment'	'UsedStats'	'No'	'No'	'Bad'	3
2	'No'	NA	'NoTreatment'	'NoStats'	'No'	'No'	'Bad'	2
2	'Yes'	NA	'NoTreatment'	'NoStats'	'No'	'No'	'Bad'	2
2	'Yes'	NA	'Treatment'	'UsedStats'	'No'	'Yes'	'Bad'	3
2	'No'	NA	'Treatment'	'NoStats'	'No'	'No'	'Bad'	3
2	'No'	NA	'NoTreatment'	'UsedStats'	'No'	'No'	'Bad'	2
2	'Yes'	NA	'Treatment'	'UsedStats'	'No'	'No'	'Bad'	3
2	'Yes'	NA	'NoTreatment'	'NoStats'	'No'	'No'	'Bad'	2
2	'No'	NA	'NoTreatment'	'NoStats'	'No'	'No'	'Bad'	2
2	'Yes'	NA	'NoTreatment'	'NoStats'	'No'	'No'	'Good'	2
2	'Yes'	NA	'NoTreatment'	'NoStats'	'No'	'No'	'Bad'	2
2	'No'	NA	'NoTreatment'	'NoStats'	'No'	'No'	'Bad'	2
2	'No'	NA	'NoTreatment'	'NoStats'	'No'	'No'	'Good'	2
2	'Yes'	NA	'NoTreatment'	'NoStats'	'No'	'No'	'Bad'	2
2	'No'	NA	'NoTreatment'	'NoStats'	'No'	'No'	'Bad'	2
2	'Yes'	NA	'Treatment'	'UsedStats'	'No'	'No'	'Bad'	3
2	'No'	NA	'NoTreatment'	'UsedStats'	'No'	'Yes'	'Good'	2
2	'No'	NA	'NoTreatment'	'NoStats'	'No'	'No'	'Good'	2
2	'No'	NA	'Treatment'	'NoStats'	'No'	'No'	'Bad'	3
2	'No'	NA	'NoTreatment'	'NoStats'	'No'	'Yes'	'Bad'	2
2	'No'	NA	'NoTreatment'	'NoStats'	'No'	'No'	'Good'	2
2	'No'	NA	'NoTreatment'	'NoStats'	'No'	'No'	'Bad'	2
2	'No'	NA	'NoTreatment'	'NoStats'	'No'	'No'	'Good'	2
2	'Yes'	NA	'NoTreatment'	'NoStats'	'No'	'No'	'Bad'	2
2	'Yes'	NA	'NoTreatment'	'NoStats'	'No'	'No'	'Good'	2
2	'Yes'	NA	'NoTreatment'	'UsedStats'	'No'	'No'	'Bad'	2
2	'No'	NA	'NoTreatment'	'NoStats'	'No'	'No'	'Bad'	2
2	'No'	NA	'NoTreatment'	'NoStats'	'No'	'No'	'Bad'	2
2	'No'	NA	'NoTreatment'	'NoStats'	'No'	'No'	'Bad'	2
2	'Yes'	NA	'NoTreatment'	'UsedStats'	'No'	'Yes'	'Good'	2
2	'Yes'	NA	'Treatment'	'UsedStats'	'No'	'Yes'	'Good'	3
2	'No'	NA	'Treatment'	'NoStats'	'No'	'No'	'Bad'	3
2	'No'	NA	'NoTreatment'	'NoStats'	'No'	'No'	'Bad'	2
2	'No'	NA	'NoTreatment'	'UsedStats'	'Yes'	'No'	'Good'	2
2	'No'	NA	'Treatment'	'UsedStats'	'No'	'No'	'Good'	3
2	'Yes'	NA	'NoTreatment'	'NoStats'	'No'	'No'	'Bad'	2
2	'No'	NA	'NoTreatment'	'NoStats'	'No'	'Yes'	'Good'	2
2	'No'	NA	'NoTreatment'	'NoStats'	'No'	'Yes'	'Bad'	2
2	'No'	NA	'Treatment'	'NoStats'	'No'	'No'	'Good'	3
2	'No'	NA	'Treatment'	'UsedStats'	'No'	'No'	'Bad'	3
2	'No'	NA	'Treatment'	'NoStats'	'No'	'No'	'Bad'	3
2	'Yes'	NA	'NoTreatment'	'NoStats'	'No'	'No'	'Bad'	2
2	'No'	NA	'NoTreatment'	'NoStats'	'No'	'Yes'	'Good'	2
2	'No'	NA	'NoTreatment'	'NoStats'	'No'	'No'	'Good'	2
2	'Yes'	NA	'NoTreatment'	'UsedStats'	'Yes'	'No'	'Bad'	2
2	'Yes'	NA	'NoTreatment'	'UsedStats'	'Yes'	'Yes'	'Bad'	2
2	'Yes'	NA	'NoTreatment'	'UsedStats'	'No'	'No'	'Bad'	2

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'Gertrude Mary Cox' @ cox.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 & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=204004&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=204004&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=204004&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'Gertrude Mary Cox' @ cox.wessa.net






Tabulation of Results
Treatment_week x CorrectAnalysis
NoYes
0603
1176
2483
3170

\begin{tabular}{lllllllll}
\hline
Tabulation of Results \tabularnewline
Treatment_week  x  CorrectAnalysis \tabularnewline
  & No & Yes \tabularnewline
0 & 60 & 3 \tabularnewline
1 & 17 & 6 \tabularnewline
2 & 48 & 3 \tabularnewline
3 & 17 & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=204004&T=1

[TABLE]
[ROW][C]Tabulation of Results[/C][/ROW]
[ROW][C]Treatment_week  x  CorrectAnalysis[/C][/ROW]
[ROW][C] [/C][C]No[/C][C]Yes[/C][/ROW]
[C]0[/C][C]60[/C][C]3[/C][/ROW]
[C]1[/C][C]17[/C][C]6[/C][/ROW]
[C]2[/C][C]48[/C][C]3[/C][/ROW]
[C]3[/C][C]17[/C][C]0[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=204004&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=204004&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
Treatment_week x CorrectAnalysis
NoYes
0603
1176
2483
3170






Tabulation of Expected Results
Treatment_week x CorrectAnalysis
NoYes
058.094.91
121.211.79
247.033.97
315.681.32

\begin{tabular}{lllllllll}
\hline
Tabulation of Expected Results \tabularnewline
Treatment_week  x  CorrectAnalysis \tabularnewline
  & No & Yes \tabularnewline
0 & 58.09 & 4.91 \tabularnewline
1 & 21.21 & 1.79 \tabularnewline
2 & 47.03 & 3.97 \tabularnewline
3 & 15.68 & 1.32 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=204004&T=2

[TABLE]
[ROW][C]Tabulation of Expected Results[/C][/ROW]
[ROW][C]Treatment_week  x  CorrectAnalysis[/C][/ROW]
[ROW][C] [/C][C]No[/C][C]Yes[/C][/ROW]
[C]0[/C][C]58.09[/C][C]4.91[/C][/ROW]
[C]1[/C][C]21.21[/C][C]1.79[/C][/ROW]
[C]2[/C][C]47.03[/C][C]3.97[/C][/ROW]
[C]3[/C][C]15.68[/C][C]1.32[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=204004&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=204004&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
Treatment_week x CorrectAnalysis
NoYes
058.094.91
121.211.79
247.033.97
315.681.32






Statistical Results
Pearson's Chi-squared test with simulated p-value (based on 2000 replicates)
Exact Pearson Chi Square Statistic13.21
P value0.01

\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 & 13.21 \tabularnewline
P value & 0.01 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=204004&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]13.21[/C][/ROW]
[ROW][C]P value[/C][C]0.01[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=204004&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=204004&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)
Exact Pearson Chi Square Statistic13.21
P value0.01


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 9 ; par2 = 6 ; par3 = Exact Pearson Chi-Squared by Simulation ;
Parameters (R input):
par1 = 9 ; 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=='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')