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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 computationTue, 20 Dec 2016 20:20:19 +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/20/t14822616393ju3erq2rysj6fl.htm/, Retrieved Sun, 28 Apr 2024 05:35:36 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=301784, Retrieved Sun, 28 Apr 2024 05:35:36 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact52

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] [] [2016-12-20 19:20:19] [cf891dd8f76140334edd84f5996aae27] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
4	4
4	5
3	4
3	NA
4	NA
4	5
2	5
2	NA
2	NA
2	5
3	5
3	4
5	4
4	4
3	4
4	5
4	NA
NA	NA
NA	3
4	NA
NA	5
3	NA
3	5
2	NA
2	NA
3	NA
3	4
3	4
4	4
4	4
3	3
4	4
3	5
4	NA
3	4
3	5
3	NA
3	3
2	2
5	5
3	NA
1	5
2	4
2	4
3	4
2	3
3	NA
5	4
4	3
5	NA
2	5
4	NA
3	NA
3	2
2	3
3	2
2	NA
4	5
NA	4
3	NA
1	5
1	5
3	4
NA	5
2	4
3	4
4	5
3	3
4	2
4	5
3	NA
4	NA
4	NA
3	NA
3	NA
5	4
2	5
4	3
3	2
3	5
3	NA
4	1
4	NA
NA	5
5	NA
3	5
4	4
3	5
5	NA
4	5
4	5
4	NA
4	4
2	NA
3	4
4	NA
3	4
3	4
5	5
3	5
1	NA
3	NA
4	4
2	2
3	NA
4	NA
4	NA
4	NA
4	NA
NA	4
4	NA
3	NA
3	NA
3	3
NA	5
4	4
2	5
5	NA
2	5
2	3
2	4
3	3
3	NA
4	4
NA	NA
4	4
3	5
4	NA
4	NA
3	NA
3	2
5	4
4	4
3	NA
3	2
3	NA
3	4
NA	NA
3	4
2	5
4	4
4	NA
4	3
5	4
2	3
2	4
3	2
3	5
2	4
4	NA
2	NA
3	4
NA	5
3	4
3	2
4	NA
2	5
5	NA
4	NA
3	5
5	4
2	5
4	3
4	NA
4	4
3	NA
5	4
3	NA
3	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=301784&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=301784&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=301784&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
KVDD3 x TVDC1
12345
100003
202469
30761611
4114148
500072

\begin{tabular}{lllllllll}
\hline
Tabulation of Results \tabularnewline
KVDD3  x  TVDC1 \tabularnewline
  & 1 & 2 & 3 & 4 & 5 \tabularnewline
1 & 0 & 0 & 0 & 0 & 3 \tabularnewline
2 & 0 & 2 & 4 & 6 & 9 \tabularnewline
3 & 0 & 7 & 6 & 16 & 11 \tabularnewline
4 & 1 & 1 & 4 & 14 & 8 \tabularnewline
5 & 0 & 0 & 0 & 7 & 2 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=301784&T=1

[TABLE]
[ROW][C]Tabulation of Results[/C][/ROW]
[ROW][C]KVDD3  x  TVDC1[/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[/C][C]0[/C][C]0[/C][C]0[/C][C]3[/C][/ROW]
[C]2[/C][C]0[/C][C]2[/C][C]4[/C][C]6[/C][C]9[/C][/ROW]
[C]3[/C][C]0[/C][C]7[/C][C]6[/C][C]16[/C][C]11[/C][/ROW]
[C]4[/C][C]1[/C][C]1[/C][C]4[/C][C]14[/C][C]8[/C][/ROW]
[C]5[/C][C]0[/C][C]0[/C][C]0[/C][C]7[/C][C]2[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=301784&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=301784&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
KVDD3 x TVDC1
12345
100003
202469
30761611
4114148
500072






Tabulation of Expected Results
KVDD3 x TVDC1
12345
10.030.30.421.280.98
20.212.082.918.946.86
30.43.965.5417.0313.07
40.282.773.8811.929.15
50.090.891.253.832.94

\begin{tabular}{lllllllll}
\hline
Tabulation of Expected Results \tabularnewline
KVDD3  x  TVDC1 \tabularnewline
  & 1 & 2 & 3 & 4 & 5 \tabularnewline
1 & 0.03 & 0.3 & 0.42 & 1.28 & 0.98 \tabularnewline
2 & 0.21 & 2.08 & 2.91 & 8.94 & 6.86 \tabularnewline
3 & 0.4 & 3.96 & 5.54 & 17.03 & 13.07 \tabularnewline
4 & 0.28 & 2.77 & 3.88 & 11.92 & 9.15 \tabularnewline
5 & 0.09 & 0.89 & 1.25 & 3.83 & 2.94 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=301784&T=2

[TABLE]
[ROW][C]Tabulation of Expected Results[/C][/ROW]
[ROW][C]KVDD3  x  TVDC1[/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]0.03[/C][C]0.3[/C][C]0.42[/C][C]1.28[/C][C]0.98[/C][/ROW]
[C]2[/C][C]0.21[/C][C]2.08[/C][C]2.91[/C][C]8.94[/C][C]6.86[/C][/ROW]
[C]3[/C][C]0.4[/C][C]3.96[/C][C]5.54[/C][C]17.03[/C][C]13.07[/C][/ROW]
[C]4[/C][C]0.28[/C][C]2.77[/C][C]3.88[/C][C]11.92[/C][C]9.15[/C][/ROW]
[C]5[/C][C]0.09[/C][C]0.89[/C][C]1.25[/C][C]3.83[/C][C]2.94[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=301784&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=301784&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
KVDD3 x TVDC1
12345
10.030.30.421.280.98
20.212.082.918.946.86
30.43.965.5417.0313.07
40.282.773.8811.929.15
50.090.891.253.832.94






Statistical Results
Pearson's Chi-squared test with simulated p-value (based on 2000 replicates)
Exact Pearson Chi Square Statistic20.27
P value0.18

\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 & 20.27 \tabularnewline
P value & 0.18 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=301784&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]20.27[/C][/ROW]
[ROW][C]P value[/C][C]0.18[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=301784&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=301784&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 Statistic20.27
P value0.18


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):
par3 <- 'Exact Pearson Chi-Squared by Simulation'
par2 <- '2'
par1 <- '1'
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')