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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 computationWed, 17 Dec 2014 16:10:45 +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/17/t1418835497fxknr1fxy1wfsn1.htm/, Retrieved Thu, 31 Oct 2024 23:27:08 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=270525, Retrieved Thu, 31 Oct 2024 23:27:08 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact77
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] [Verband PV en PRH] [2014-12-17 16:10:45] [0adf43ccf8dfa476608a94fd7836e72e] [Current]
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Dataseries X:
4	25,0
3	25,0
3	50,0
4	50,0
3	50,0
3	50,0
3	75,0
4	50,0
3	75,0
3	10,0
4	50,0
3	50,0
4	50,0
2	50,0
4	45,0
4	25,0
4	50,0
3	75,0
3	50,0
3	50,0
4	25,0
4	100,0
3	50,0
5	50,0
4	50,0
4	100,0
3	25,0
3	25,0
3	25,0
1	25,0
2	50,0
4	25,0
3	50,0
4	100,0
4	50,0
2	75,0
3	25,0
3	50,0
3	75,0
4	50,0
2	50,0
3	75,0
5	50,0
1	25,0
3	25,0
3	75,0
3	50,0
4	75,0
5	25,0
4	50,0
4	50,0
2	25,0
2	25,0
3	25,0
5	50,0
3	25,0
3	50,0
3	50,0
4	25,0
3	25,0
4	50,0
3	50,0
3	25,0
3	50,0
3	50,0
3	50,0
3	75,0
4	50,0
3	75,0
1	50,0
4	100,0
3	50,0
4	75,0
3	75,0
2	50,0
3	50,0
4	50,0
4	50,0
3	50,0
3	50,0
4	50,0
2	25,0
3	50,0
3	25,0
3	50,0
3	50,0
3	50,0
4	75,0
2	50,0
3	25,0
3	25,0
4	25,0
4	25,0
2	25,0
3	25,0
2	25,0
3	25,0
3	25,0
3	25,0
4	75,0
3	25,0
2	25,0
3	50,0
4	25,0
3	50,0
3	50,0
3	25,0
2	25,0
4	25,0
4	25,0




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=270525&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=270525&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=270525&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 time3 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net







Tabulation of Results
perfectionisme x B
1025455075100
1020100
2070510
311902790
401011544
5010300

\begin{tabular}{lllllllll}
\hline
Tabulation of Results \tabularnewline
perfectionisme  x  B \tabularnewline
  & 10 & 25 & 45 & 50 & 75 & 100 \tabularnewline
1 & 0 & 2 & 0 & 1 & 0 & 0 \tabularnewline
2 & 0 & 7 & 0 & 5 & 1 & 0 \tabularnewline
3 & 1 & 19 & 0 & 27 & 9 & 0 \tabularnewline
4 & 0 & 10 & 1 & 15 & 4 & 4 \tabularnewline
5 & 0 & 1 & 0 & 3 & 0 & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=270525&T=1

[TABLE]
[ROW][C]Tabulation of Results[/C][/ROW]
[ROW][C]perfectionisme  x  B[/C][/ROW]
[ROW][C] [/C][C]10[/C][C]25[/C][C]45[/C][C]50[/C][C]75[/C][C]100[/C][/ROW]
[C]1[/C][C]0[/C][C]2[/C][C]0[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[C]2[/C][C]0[/C][C]7[/C][C]0[/C][C]5[/C][C]1[/C][C]0[/C][/ROW]
[C]3[/C][C]1[/C][C]19[/C][C]0[/C][C]27[/C][C]9[/C][C]0[/C][/ROW]
[C]4[/C][C]0[/C][C]10[/C][C]1[/C][C]15[/C][C]4[/C][C]4[/C][/ROW]
[C]5[/C][C]0[/C][C]1[/C][C]0[/C][C]3[/C][C]0[/C][C]0[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=270525&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=270525&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
perfectionisme x B
1025455075100
1020100
2070510
311902790
401011544
5010300







Tabulation of Expected Results
perfectionisme x B
1025455075100
10.031.060.031.390.380.11
20.124.610.126.031.650.47
30.5119.850.5125.967.132.04
40.3112.050.3115.764.331.24
50.041.420.041.850.510.15

\begin{tabular}{lllllllll}
\hline
Tabulation of Expected Results \tabularnewline
perfectionisme  x  B \tabularnewline
  & 10 & 25 & 45 & 50 & 75 & 100 \tabularnewline
1 & 0.03 & 1.06 & 0.03 & 1.39 & 0.38 & 0.11 \tabularnewline
2 & 0.12 & 4.61 & 0.12 & 6.03 & 1.65 & 0.47 \tabularnewline
3 & 0.51 & 19.85 & 0.51 & 25.96 & 7.13 & 2.04 \tabularnewline
4 & 0.31 & 12.05 & 0.31 & 15.76 & 4.33 & 1.24 \tabularnewline
5 & 0.04 & 1.42 & 0.04 & 1.85 & 0.51 & 0.15 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=270525&T=2

[TABLE]
[ROW][C]Tabulation of Expected Results[/C][/ROW]
[ROW][C]perfectionisme  x  B[/C][/ROW]
[ROW][C] [/C][C]10[/C][C]25[/C][C]45[/C][C]50[/C][C]75[/C][C]100[/C][/ROW]
[C]1[/C][C]0.03[/C][C]1.06[/C][C]0.03[/C][C]1.39[/C][C]0.38[/C][C]0.11[/C][/ROW]
[C]2[/C][C]0.12[/C][C]4.61[/C][C]0.12[/C][C]6.03[/C][C]1.65[/C][C]0.47[/C][/ROW]
[C]3[/C][C]0.51[/C][C]19.85[/C][C]0.51[/C][C]25.96[/C][C]7.13[/C][C]2.04[/C][/ROW]
[C]4[/C][C]0.31[/C][C]12.05[/C][C]0.31[/C][C]15.76[/C][C]4.33[/C][C]1.24[/C][/ROW]
[C]5[/C][C]0.04[/C][C]1.42[/C][C]0.04[/C][C]1.85[/C][C]0.51[/C][C]0.15[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=270525&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=270525&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
perfectionisme x B
1025455075100
10.031.060.031.390.380.11
20.124.610.126.031.650.47
30.5119.850.5125.967.132.04
40.3112.050.3115.764.331.24
50.041.420.041.850.510.15







Statistical Results
Pearson's Chi-squared test
Pearson Chi Square Statistic17.45
Degrees of Freedom20
P value0.62

\begin{tabular}{lllllllll}
\hline
Statistical Results \tabularnewline
Pearson's Chi-squared test \tabularnewline
Pearson Chi Square Statistic & 17.45 \tabularnewline
Degrees of Freedom & 20 \tabularnewline
P value & 0.62 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=270525&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]17.45[/C][/ROW]
[ROW][C]Degrees of Freedom[/C][C]20[/C][/ROW]
[ROW][C]P value[/C][C]0.62[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=270525&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=270525&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 Statistic17.45
Degrees of Freedom20
P value0.62



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')