FreeStatistics.org

Free Statistics

of Irreproducible Research!

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 computationSat, 17 Dec 2016 22:09:18 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2016/Dec/17/t14820093131y2zhx8sz7f9snr.htm/, Retrieved Thu, 02 May 2024 13:28:43 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=300960, Retrieved Thu, 02 May 2024 13:28:43 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact55

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 bij simulaiotn] [2016-12-17 21:09:18] [8e62cbb8023b87d93040197279d31dd8] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
3	5
4	5
4	4
3	4
3	5
4	5
3	5
3	4
3	4
3	5
4	4
3	4
5	5
4	5
4	4
3	5
5	5
NA	NA
2	4
2	5
3	5
3	5
3	5
3	4
4	5
4	3
4	4
4	4
2	4
4	4
3	5
3	5
4	5
2	5
4	5
4	5
3	4
3	4
4	4
3	4
4	4
3	4
3	4
4	4
4	5
3	4
3	4
3	4
3	4
1	4
3	5
4	4
4	4
2	5
4	4
4	4
3	4
5	3
3	4
2	4
3	4
4	5
3	5
3	5
4	5
3	3
4	4
3	5
5	4
4	4
4	5
4	5
2	4
3	5
5	4
4	4
4	5
4	5
4	5
3	5
NA	5
4	4
4	4
4	4
3	5
4	4
3	4
3	5
3	5
4	5
3	2
3	4
3	4
3	3
3	5
4	5
3	5
3	5
NA	5
3	4
3	5
4	4
4	5
4	4
4	4
4	5
NA	5
4	4
4	4
3	4
3	5
3	4
3	5
4	4
3	4
3	4
4	5
3	4
3	5
4	5
3	4
3	5
3	5
3	5
NA	3
4	4
3	4
4	4
4	5
3	4
3	4
4	4
3	4
4	5
4	4
NA	4
5	2
NA	4
4	4
4	5
3	4
3	NA
3	5
4	4
4	5
3	4
3	4
3	4
3	4
3	5
4	4
4	5
3	5
2	5
2	5
3	4
3	5
4	5
3	5
4	5
2	4
4	5
3	2
3	4
3	5
3	5
3	4
3	4
4	5

Tables (Output of Computation)





Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R ServerBig Analytics Cloud Computing Center

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input view raw input (R code)  \tabularnewline
Raw Outputview raw output of R engine  \tabularnewline
Computing time1 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=300960&T=0

[TABLE]
[ROW]
Summary of computational transaction[/C][/ROW] [ROW]Raw Input[/C] view raw input (R code) [/C][/ROW] [ROW]Raw Output[/C]view raw output of R engine [/C][/ROW] [ROW]Computing time[/C]1 seconds[/C][/ROW] [ROW]R Server[/C]Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=300960&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=300960&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 Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R ServerBig Analytics Cloud Computing Center






Tabulation of Results
GW4 x IK3
2345
10010
20055
3224036
4013330
51122

\begin{tabular}{lllllllll}
\hline
Tabulation of Results \tabularnewline
GW4  x  IK3 \tabularnewline
  & 2 & 3 & 4 & 5 \tabularnewline
1 & 0 & 0 & 1 & 0 \tabularnewline
2 & 0 & 0 & 5 & 5 \tabularnewline
3 & 2 & 2 & 40 & 36 \tabularnewline
4 & 0 & 1 & 33 & 30 \tabularnewline
5 & 1 & 1 & 2 & 2 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=300960&T=1

[TABLE]
[ROW][C]Tabulation of Results[/C][/ROW]
[ROW][C]GW4  x  IK3[/C][/ROW]
[ROW][C] [/C][C]2[/C][C]3[/C][C]4[/C][C]5[/C][/ROW]
[C]1[/C][C]0[/C][C]0[/C][C]1[/C][C]0[/C][/ROW]
[C]2[/C][C]0[/C][C]0[/C][C]5[/C][C]5[/C][/ROW]
[C]3[/C][C]2[/C][C]2[/C][C]40[/C][C]36[/C][/ROW]
[C]4[/C][C]0[/C][C]1[/C][C]33[/C][C]30[/C][/ROW]
[C]5[/C][C]1[/C][C]1[/C][C]2[/C][C]2[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=300960&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=300960&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
GW4 x IK3
2345
10010
20055
3224036
4013330
51122






Tabulation of Expected Results
GW4 x IK3
2345
10.020.020.50.45
20.190.255.034.53
31.491.9940.2536.27
41.191.5932.229.02
50.110.153.022.72

\begin{tabular}{lllllllll}
\hline
Tabulation of Expected Results \tabularnewline
GW4  x  IK3 \tabularnewline
  & 2 & 3 & 4 & 5 \tabularnewline
1 & 0.02 & 0.02 & 0.5 & 0.45 \tabularnewline
2 & 0.19 & 0.25 & 5.03 & 4.53 \tabularnewline
3 & 1.49 & 1.99 & 40.25 & 36.27 \tabularnewline
4 & 1.19 & 1.59 & 32.2 & 29.02 \tabularnewline
5 & 0.11 & 0.15 & 3.02 & 2.72 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=300960&T=2

[TABLE]
[ROW][C]Tabulation of Expected Results[/C][/ROW]
[ROW][C]GW4  x  IK3[/C][/ROW]
[ROW][C] [/C][C]2[/C][C]3[/C][C]4[/C][C]5[/C][/ROW]
[C]1[/C][C]0.02[/C][C]0.02[/C][C]0.5[/C][C]0.45[/C][/ROW]
[C]2[/C][C]0.19[/C][C]0.25[/C][C]5.03[/C][C]4.53[/C][/ROW]
[C]3[/C][C]1.49[/C][C]1.99[/C][C]40.25[/C][C]36.27[/C][/ROW]
[C]4[/C][C]1.19[/C][C]1.59[/C][C]32.2[/C][C]29.02[/C][/ROW]
[C]5[/C][C]0.11[/C][C]0.15[/C][C]3.02[/C][C]2.72[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=300960&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=300960&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
GW4 x IK3
2345
10.020.020.50.45
20.190.255.034.53
31.491.9940.2536.27
41.191.5932.229.02
50.110.153.022.72






Statistical Results
Pearson's Chi-squared test with simulated p-value (based on 2000 replicates)
Exact Pearson Chi Square Statistic15.56
P value0.15

\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 & 15.56 \tabularnewline
P value & 0.15 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=300960&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]15.56[/C][/ROW]
[ROW][C]P value[/C][C]0.15[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=300960&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=300960&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 Statistic15.56
P value0.15


Figures (Output of Computation)

Input Parameters & R Code

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')