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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, 13 Dec 2016 22:02:20 +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/13/t1481662977d37x0j8copkdqjp.htm/, Retrieved Fri, 01 Nov 2024 03:46:01 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=299231, Retrieved Fri, 01 Nov 2024 03:46:01 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact86

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-squared IVHB1...] [2016-12-13 21:02:20] [74a1aee5dc3270c40ddc0c460955e440] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
2	4
4	5
4	4
4	NA
3	NA
4	5
1	5
4	NA
3	NA
4	5
2	5
4	4
4	4
5	4
4	4
1	5
2	NA
4	NA
4	3
5	NA
5	5
4	NA
1	5
4	NA
2	NA
4	NA
5	4
3	4
5	4
3	4
5	3
2	4
1	5
NA	NA
4	4
4	5
3	NA
5	3
4	2
NA	5
4	NA
2	5
3	4
1	4
3	4
3	3
3	NA
4	4
4	3
4	NA
4	5
4	NA
2	NA
5	2
3	3
3	2
4	NA
4	5
4	4
3	NA
4	5
4	5
4	4
4	5
4	4
2	4
4	5
4	3
4	2
4	5
4	NA
5	NA
3	NA
2	NA
4	NA
5	4
4	5
5	3
5	2
2	5
4	NA
4	1
4	NA
3	5
4	NA
2	5
5	4
3	5
4	NA
2	5
4	5
3	NA
3	4
4	NA
4	4
4	NA
3	4
4	4
3	5
3	5
1	NA
4	NA
3	4
3	2
5	NA
5	NA
4	NA
5	NA
4	NA
4	4
4	NA
4	NA
3	NA
4	3
3	5
4	4
2	5
1	NA
5	5
4	3
3	4
4	3
4	NA
4	4
4	NA
2	4
4	5
4	NA
4	NA
4	NA
3	2
4	4
5	4
2	NA
5	2
4	NA
3	4
NA	NA
2	4
2	5
2	4
4	NA
4	3
5	4
3	3
3	4
4	2
4	5
4	4
4	NA
4	NA
4	4
4	5
2	4
5	2
4	NA
4	5
4	NA
4	NA
4	5
2	4
3	5
3	3
4	NA
4	4
4	NA
4	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=299231&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=299231&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=299231&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
IVHB1 x TVDC1
12345
100014
200087
3035106
41371918
504372

\begin{tabular}{lllllllll}
\hline
Tabulation of Results \tabularnewline
IVHB1  x  TVDC1 \tabularnewline
  & 1 & 2 & 3 & 4 & 5 \tabularnewline
1 & 0 & 0 & 0 & 1 & 4 \tabularnewline
2 & 0 & 0 & 0 & 8 & 7 \tabularnewline
3 & 0 & 3 & 5 & 10 & 6 \tabularnewline
4 & 1 & 3 & 7 & 19 & 18 \tabularnewline
5 & 0 & 4 & 3 & 7 & 2 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=299231&T=1

[TABLE]
[ROW][C]Tabulation of Results[/C][/ROW]
[ROW][C]IVHB1  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]1[/C][C]4[/C][/ROW]
[C]2[/C][C]0[/C][C]0[/C][C]0[/C][C]8[/C][C]7[/C][/ROW]
[C]3[/C][C]0[/C][C]3[/C][C]5[/C][C]10[/C][C]6[/C][/ROW]
[C]4[/C][C]1[/C][C]3[/C][C]7[/C][C]19[/C][C]18[/C][/ROW]
[C]5[/C][C]0[/C][C]4[/C][C]3[/C][C]7[/C][C]2[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=299231&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=299231&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
IVHB1 x TVDC1
12345
100014
200087
3035106
41371918
504372






Tabulation of Expected Results
IVHB1 x TVDC1
12345
10.050.460.692.081.71
20.141.392.086.255.14
30.222.223.33108.22
40.444.446.672016.44
50.151.482.226.675.48

\begin{tabular}{lllllllll}
\hline
Tabulation of Expected Results \tabularnewline
IVHB1  x  TVDC1 \tabularnewline
  & 1 & 2 & 3 & 4 & 5 \tabularnewline
1 & 0.05 & 0.46 & 0.69 & 2.08 & 1.71 \tabularnewline
2 & 0.14 & 1.39 & 2.08 & 6.25 & 5.14 \tabularnewline
3 & 0.22 & 2.22 & 3.33 & 10 & 8.22 \tabularnewline
4 & 0.44 & 4.44 & 6.67 & 20 & 16.44 \tabularnewline
5 & 0.15 & 1.48 & 2.22 & 6.67 & 5.48 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=299231&T=2

[TABLE]
[ROW][C]Tabulation of Expected Results[/C][/ROW]
[ROW][C]IVHB1  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]0.05[/C][C]0.46[/C][C]0.69[/C][C]2.08[/C][C]1.71[/C][/ROW]
[C]2[/C][C]0.14[/C][C]1.39[/C][C]2.08[/C][C]6.25[/C][C]5.14[/C][/ROW]
[C]3[/C][C]0.22[/C][C]2.22[/C][C]3.33[/C][C]10[/C][C]8.22[/C][/ROW]
[C]4[/C][C]0.44[/C][C]4.44[/C][C]6.67[/C][C]20[/C][C]16.44[/C][/ROW]
[C]5[/C][C]0.15[/C][C]1.48[/C][C]2.22[/C][C]6.67[/C][C]5.48[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=299231&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=299231&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
IVHB1 x TVDC1
12345
10.050.460.692.081.71
20.141.392.086.255.14
30.222.223.33108.22
40.444.446.672016.44
50.151.482.226.675.48






Statistical Results
Pearson's Chi-squared test
Pearson Chi Square Statistic19.83
Degrees of Freedom16
P value0.23

\begin{tabular}{lllllllll}
\hline
Statistical Results \tabularnewline
Pearson's Chi-squared test \tabularnewline
Pearson Chi Square Statistic & 19.83 \tabularnewline
Degrees of Freedom & 16 \tabularnewline
P value & 0.23 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=299231&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]19.83[/C][/ROW]
[ROW][C]Degrees of Freedom[/C][C]16[/C][/ROW]
[ROW][C]P value[/C][C]0.23[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=299231&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=299231&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 Statistic19.83
Degrees of Freedom16
P value0.23


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
Parameters (R input):
par1 = 1 ; par2 = 2 ; par3 = Pearson Chi-Squared ;
R code (references can be found in the software module):
par3 <- 'Pearson Chi-Squared'
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')