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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 computationThu, 18 Dec 2014 10:01:47 +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/18/t1418896927el70qoq9dtrdnys.htm/, Retrieved Sun, 19 May 2024 17:12:09 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=270778, Retrieved Sun, 19 May 2024 17:12:09 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact120
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] [] [2014-12-18 10:01:47] [648c1440f05bd644df5068f7a7b787c0] [Current]
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Dataseries X:
0	12
1	8
0	11
1	13
1	11
1	10
0	7
1	10
1	15
1	12
1	12
1	10
1	10
0	14
0	6
0	12
1	14
0	11
1	8
0	12
1	15
1	13
0	11
1	12
1	7
1	11
1	7
0	12
1	12
0	13
0	9
0	11
1	12
1	15
1	12
1	6
0	5
1	13
1	11
0	6
1	12
1	10
1	6
1	12
1	11
0	6
1	12
1	12
0	8
1	10
1	11
1	7
1	12
1	13
1	14
1	12
0	6
1	14
0	10
1	12
1	11
0	10
0	7
1	12
0	7
1	12
0	12
1	10
1	10
0	12
0	12
0	12
0	8
1	10
0	5
1	10
0	10
1	12
0	11
0	9
1	12
0	11
0	10
0	12
1	10
0	9
1	11
1	12
0	7
0	11
0	12
1	6
1	9
1	15
0	10
1	11
0	12
1	12
1	12
1	11
1	9
1	11
0	12
1	12
1	14
1	8
0	10
0	9
0	10
0	9
0	10
0	12
1	11
1	9
1	11
1	12
1	12
0	7
1	12
1	12
0	12
1	10
0	15
0	10
1	15
1	10
1	15
1	9
1	15
1	12
1	13
1	12
0	12
1	8
1	9
1	15
1	12
1	12
1	15
0	11
1	12
1	6
1	14
1	12
1	12
0	12
0	11
1	12
0	12
0	12
1	12
0	8
1	8
1	12
0	12
1	11
1	10
1	11
0	12
0	13
0	12
0	12
1	10
0	10
1	11
0	8
1	12
0	9
1	12
0	9
0	11
1	15
0	8
1	8
1	11
1	11
1	11
1	13
0	7
1	12
0	8
0	8
0	4
1	11
0	10
1	7
0	12
0	11
0	9
0	10
1	8
1	8
1	11
1	12
0	10
0	10
1	12
0	8
0	11
0	8
0	10
1	14
1	9
0	9
0	10
1	13
0	12
1	13
1	8
0	3
1	8
1	12
1	11
0	9
0	12
0	12
1	12
1	10
1	13
1	9
0	12
0	11
0	14
1	11
1	9
0	12
0	8
0	15
1	12
1	14
0	12
0	9
0	9
1	13
1	13
1	15
1	11
0	7
1	10
1	11
1	14
0	14
0	13
1	12
0	8
1	13
1	9
0	12
1	13
0	11
1	11
1	13
0	12
1	12
0	10
1	9
0	10
1	13
0	13
0	9
1	11
1	12
0	8
1	12
1	12
0	12
1	9
0	12
0	12
1	11
1	12
0	6
1	7
0	10
0	12
1	10
0	12
0	9
1	3




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ jenkins.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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=270778&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=270778&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=270778&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'Gwilym Jenkins' @ jenkins.wessa.net







Tabulation of Results
Geslacht x CONSOFTTOT
3456789101112131415
0112571214191436432
110045101118274915811

\begin{tabular}{lllllllll}
\hline
Tabulation of Results \tabularnewline
Geslacht  x  CONSOFTTOT \tabularnewline
  & 3 & 4 & 5 & 6 & 7 & 8 & 9 & 10 & 11 & 12 & 13 & 14 & 15 \tabularnewline
0 & 1 & 1 & 2 & 5 & 7 & 12 & 14 & 19 & 14 & 36 & 4 & 3 & 2 \tabularnewline
1 & 1 & 0 & 0 & 4 & 5 & 10 & 11 & 18 & 27 & 49 & 15 & 8 & 11 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=270778&T=1

[TABLE]
[ROW][C]Tabulation of Results[/C][/ROW]
[ROW][C]Geslacht  x  CONSOFTTOT[/C][/ROW]
[ROW][C] [/C][C]3[/C][C]4[/C][C]5[/C][C]6[/C][C]7[/C][C]8[/C][C]9[/C][C]10[/C][C]11[/C][C]12[/C][C]13[/C][C]14[/C][C]15[/C][/ROW]
[C]0[/C][C]1[/C][C]1[/C][C]2[/C][C]5[/C][C]7[/C][C]12[/C][C]14[/C][C]19[/C][C]14[/C][C]36[/C][C]4[/C][C]3[/C][C]2[/C][/ROW]
[C]1[/C][C]1[/C][C]0[/C][C]0[/C][C]4[/C][C]5[/C][C]10[/C][C]11[/C][C]18[/C][C]27[/C][C]49[/C][C]15[/C][C]8[/C][C]11[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=270778&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=270778&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
Geslacht x CONSOFTTOT
3456789101112131415
0112571214191436432
110045101118274915811







Tabulation of Expected Results
Geslacht x CONSOFTTOT
3456789101112131415
00.860.430.863.875.169.4610.7515.9117.6336.568.174.735.59
11.140.571.145.136.8412.5414.2521.0923.3748.4410.836.277.41

\begin{tabular}{lllllllll}
\hline
Tabulation of Expected Results \tabularnewline
Geslacht  x  CONSOFTTOT \tabularnewline
  & 3 & 4 & 5 & 6 & 7 & 8 & 9 & 10 & 11 & 12 & 13 & 14 & 15 \tabularnewline
0 & 0.86 & 0.43 & 0.86 & 3.87 & 5.16 & 9.46 & 10.75 & 15.91 & 17.63 & 36.56 & 8.17 & 4.73 & 5.59 \tabularnewline
1 & 1.14 & 0.57 & 1.14 & 5.13 & 6.84 & 12.54 & 14.25 & 21.09 & 23.37 & 48.44 & 10.83 & 6.27 & 7.41 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=270778&T=2

[TABLE]
[ROW][C]Tabulation of Expected Results[/C][/ROW]
[ROW][C]Geslacht  x  CONSOFTTOT[/C][/ROW]
[ROW][C] [/C][C]3[/C][C]4[/C][C]5[/C][C]6[/C][C]7[/C][C]8[/C][C]9[/C][C]10[/C][C]11[/C][C]12[/C][C]13[/C][C]14[/C][C]15[/C][/ROW]
[C]0[/C][C]0.86[/C][C]0.43[/C][C]0.86[/C][C]3.87[/C][C]5.16[/C][C]9.46[/C][C]10.75[/C][C]15.91[/C][C]17.63[/C][C]36.56[/C][C]8.17[/C][C]4.73[/C][C]5.59[/C][/ROW]
[C]1[/C][C]1.14[/C][C]0.57[/C][C]1.14[/C][C]5.13[/C][C]6.84[/C][C]12.54[/C][C]14.25[/C][C]21.09[/C][C]23.37[/C][C]48.44[/C][C]10.83[/C][C]6.27[/C][C]7.41[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=270778&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=270778&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
Geslacht x CONSOFTTOT
3456789101112131415
00.860.430.863.875.169.4610.7515.9117.6336.568.174.735.59
11.140.571.145.136.8412.5414.2521.0923.3748.4410.836.277.41







Statistical Results
Pearson's Chi-squared test
Pearson Chi Square Statistic19.93
Degrees of Freedom12
P value0.07

\begin{tabular}{lllllllll}
\hline
Statistical Results \tabularnewline
Pearson's Chi-squared test \tabularnewline
Pearson Chi Square Statistic & 19.93 \tabularnewline
Degrees of Freedom & 12 \tabularnewline
P value & 0.07 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=270778&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]19.93[/C][/ROW]
[ROW][C]Degrees of Freedom[/C][C]12[/C][/ROW]
[ROW][C]P value[/C][C]0.07[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=270778&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=270778&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 Statistic19.93
Degrees of Freedom12
P value0.07



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):
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')