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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 computationSun, 18 Dec 2016 11:11:53 +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/18/t1482055936u9tswdc7mgzpton.htm/, Retrieved Fri, 01 Nov 2024 03:37:31 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=300992, Retrieved Fri, 01 Nov 2024 03:37:31 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact138

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 square] [2016-12-18 10:11:53] [5f1120677e74ff8306822a772764e796] [Current]
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Dataset

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

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=300992&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=300992&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=300992&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
A x B
12345
110000
201122
3004101
40043915
50022855

\begin{tabular}{lllllllll}
\hline
Tabulation of Results \tabularnewline
A  x  B \tabularnewline
  & 1 & 2 & 3 & 4 & 5 \tabularnewline
1 & 1 & 0 & 0 & 0 & 0 \tabularnewline
2 & 0 & 1 & 1 & 2 & 2 \tabularnewline
3 & 0 & 0 & 4 & 10 & 1 \tabularnewline
4 & 0 & 0 & 4 & 39 & 15 \tabularnewline
5 & 0 & 0 & 2 & 28 & 55 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=300992&T=1

[TABLE]
[ROW][C]Tabulation of Results[/C][/ROW]
[ROW][C]A  x  B[/C][/ROW]
[ROW][C] [/C][C]1[/C][C]2[/C][C]3[/C][C]4[/C][C]5[/C][/ROW]
[C]1[/C][C]1[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][/ROW]
[C]2[/C][C]0[/C][C]1[/C][C]1[/C][C]2[/C][C]2[/C][/ROW]
[C]3[/C][C]0[/C][C]0[/C][C]4[/C][C]10[/C][C]1[/C][/ROW]
[C]4[/C][C]0[/C][C]0[/C][C]4[/C][C]39[/C][C]15[/C][/ROW]
[C]5[/C][C]0[/C][C]0[/C][C]2[/C][C]28[/C][C]55[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=300992&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=300992&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
A x B
12345
110000
201122
3004101
40043915
50022855






Tabulation of Expected Results
A x B
12345
10.010.010.070.480.44
20.040.040.42.872.65
30.090.0917.186.64
40.350.353.8727.7725.66
50.520.525.6740.737.61

\begin{tabular}{lllllllll}
\hline
Tabulation of Expected Results \tabularnewline
A  x  B \tabularnewline
  & 1 & 2 & 3 & 4 & 5 \tabularnewline
1 & 0.01 & 0.01 & 0.07 & 0.48 & 0.44 \tabularnewline
2 & 0.04 & 0.04 & 0.4 & 2.87 & 2.65 \tabularnewline
3 & 0.09 & 0.09 & 1 & 7.18 & 6.64 \tabularnewline
4 & 0.35 & 0.35 & 3.87 & 27.77 & 25.66 \tabularnewline
5 & 0.52 & 0.52 & 5.67 & 40.7 & 37.61 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=300992&T=2

[TABLE]
[ROW][C]Tabulation of Expected Results[/C][/ROW]
[ROW][C]A  x  B[/C][/ROW]
[ROW][C] [/C][C]1[/C][C]2[/C][C]3[/C][C]4[/C][C]5[/C][/ROW]
[C]1[/C][C]0.01[/C][C]0.01[/C][C]0.07[/C][C]0.48[/C][C]0.44[/C][/ROW]
[C]2[/C][C]0.04[/C][C]0.04[/C][C]0.4[/C][C]2.87[/C][C]2.65[/C][/ROW]
[C]3[/C][C]0.09[/C][C]0.09[/C][C]1[/C][C]7.18[/C][C]6.64[/C][/ROW]
[C]4[/C][C]0.35[/C][C]0.35[/C][C]3.87[/C][C]27.77[/C][C]25.66[/C][/ROW]
[C]5[/C][C]0.52[/C][C]0.52[/C][C]5.67[/C][C]40.7[/C][C]37.61[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=300992&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=300992&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
A x B
12345
10.010.010.070.480.44
20.040.040.42.872.65
30.090.0917.186.64
40.350.353.8727.7725.66
50.520.525.6740.737.61






Statistical Results
Pearson's Chi-squared test
Pearson Chi Square Statistic231.06
Degrees of Freedom16
P value0

\begin{tabular}{lllllllll}
\hline
Statistical Results \tabularnewline
Pearson's Chi-squared test \tabularnewline
Pearson Chi Square Statistic & 231.06 \tabularnewline
Degrees of Freedom & 16 \tabularnewline
P value & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=300992&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]231.06[/C][/ROW]
[ROW][C]Degrees of Freedom[/C][C]16[/C][/ROW]
[ROW][C]P value[/C][C]0[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=300992&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=300992&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
Pearson Chi Square Statistic231.06
Degrees of Freedom16
P value0


Figures (Output of Computation)

Input Parameters & R Code

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')