Free Statistics

of Irreproducible Research!

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 computationTue, 09 Dec 2014 12:29:13 +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/09/t14181282057aoesc9qx0h5dep.htm/, Retrieved Thu, 31 Oct 2024 23:32:46 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=264525, Retrieved Thu, 31 Oct 2024 23:32:46 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact119
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] [ABCDE] [2014-12-09 10:08:55] [15866c21ed6246d5efde5ff3ba421193]
- R PD    [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [ABCD4] [2014-12-09 12:29:13] [69667246dd207ce9acb00bd9a43352d5] [Current]
Feedback Forum

Post a new message
Dataseries X:
'A' "'C'"
'A' "'C'"
'B' "'B'"
'C' "'A'"
'B' "'A'"
'A' "'A'"
'C' "'D'"
'A' "'A'"
'D' "'A'"
'D' "'A'"
'C' "'C'"
'C' "'B'"
'A' "'A'"
'D' "'B'"
'A' "'D'"
'C' "'A'"
'C' "'C'"
'B' "'A'"
'D' "'A'"
'C' "'D'"
'D' "'D'"
'A' "'C'"
'C' "'D'"
'B' "'A'"
'C' "'A'"
'D' "'A'"
'B' "'A'"
'C' "'D'"
'C' "'B'"
'C' "'C'"
'C' "'B'"
'A' "'B'"
'A' "'B'"
'B' "'C'"
'A' "'C'"
'B' "'A'"
'A' "'B'"
'C' "'B'"
'C' "'C'"
'A' "'C'"
'C' "'C'"
'A' "'B'"
'C' "'B'"
'D' "'A'"
'B' "'A'"
'A' "'D'"
'C' "'C'"
'A' "'B'"
'A' "'D'"
'C' "'A'"
'A' "'C'"
'B' "'D'"
'B' "'D'"
'A' "'D'"
'D' "'C'"
'B' "'A'"
'A' "'D'"
'A' "'A'"
'C' "'D'"
'C' "'A'"
'C' "'A'"




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=264525&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=264525&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=264525&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
Zelfvertrouwen_A x Depressie_A
'A''B''C''D'
A4565
B7112
C6565
D5111

\begin{tabular}{lllllllll}
\hline
Tabulation of Results \tabularnewline
Zelfvertrouwen_A  x  Depressie_A \tabularnewline
  & 'A' & 'B' & 'C' & 'D' \tabularnewline
A & 4 & 5 & 6 & 5 \tabularnewline
B & 7 & 1 & 1 & 2 \tabularnewline
C & 6 & 5 & 6 & 5 \tabularnewline
D & 5 & 1 & 1 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=264525&T=1

[TABLE]
[ROW][C]Tabulation of Results[/C][/ROW]
[ROW][C]Zelfvertrouwen_A  x  Depressie_A[/C][/ROW]
[ROW][C] [/C][C]'A'[/C][C]'B'[/C][C]'C'[/C][C]'D'[/C][/ROW]
[C]A[/C][C]4[/C][C]5[/C][C]6[/C][C]5[/C][/ROW]
[C]B[/C][C]7[/C][C]1[/C][C]1[/C][C]2[/C][/ROW]
[C]C[/C][C]6[/C][C]5[/C][C]6[/C][C]5[/C][/ROW]
[C]D[/C][C]5[/C][C]1[/C][C]1[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=264525&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=264525&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
Zelfvertrouwen_A x Depressie_A
'A''B''C''D'
A4565
B7112
C6565
D5111







Tabulation of Expected Results
Zelfvertrouwen_A x Depressie_A
'A''B''C''D'
A7.213.934.594.26
B3.972.162.522.34
C7.934.335.054.69
D2.891.571.841.7

\begin{tabular}{lllllllll}
\hline
Tabulation of Expected Results \tabularnewline
Zelfvertrouwen_A  x  Depressie_A \tabularnewline
  & 'A' & 'B' & 'C' & 'D' \tabularnewline
A & 7.21 & 3.93 & 4.59 & 4.26 \tabularnewline
B & 3.97 & 2.16 & 2.52 & 2.34 \tabularnewline
C & 7.93 & 4.33 & 5.05 & 4.69 \tabularnewline
D & 2.89 & 1.57 & 1.84 & 1.7 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=264525&T=2

[TABLE]
[ROW][C]Tabulation of Expected Results[/C][/ROW]
[ROW][C]Zelfvertrouwen_A  x  Depressie_A[/C][/ROW]
[ROW][C] [/C][C]'A'[/C][C]'B'[/C][C]'C'[/C][C]'D'[/C][/ROW]
[C]A[/C][C]7.21[/C][C]3.93[/C][C]4.59[/C][C]4.26[/C][/ROW]
[C]B[/C][C]3.97[/C][C]2.16[/C][C]2.52[/C][C]2.34[/C][/ROW]
[C]C[/C][C]7.93[/C][C]4.33[/C][C]5.05[/C][C]4.69[/C][/ROW]
[C]D[/C][C]2.89[/C][C]1.57[/C][C]1.84[/C][C]1.7[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=264525&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=264525&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
Zelfvertrouwen_A x Depressie_A
'A''B''C''D'
A7.213.934.594.26
B3.972.162.522.34
C7.934.335.054.69
D2.891.571.841.7







Statistical Results
Pearson's Chi-squared test with simulated p-value (based on 2000 replicates)
Exact Pearson Chi Square Statistic9.4
P value0.42

\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 & 9.4 \tabularnewline
P value & 0.42 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=264525&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]9.4[/C][/ROW]
[ROW][C]P value[/C][C]0.42[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=264525&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=264525&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 simulated p-value (based on 2000 replicates)
Exact Pearson Chi Square Statistic9.4
P value0.42



Parameters (Session):
par1 = 1 ; par2 = 2 ; par3 = Exact Pearson Chi-Squared by Simulation ;
Parameters (R input):
par1 = 1 ; par2 = 2 ; 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')