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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 19:25:19 +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/13/t1481653604gmh3cxa506tgvyl.htm/, Retrieved Fri, 01 Nov 2024 04:40:19 +0100
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Fri, 01 Nov 2024 04:40:19 +0100
QR Codes:

Original text written by user:
IsPrivate?This computation is private
User-defined keywordsKG
Estimated Impact0

Tree of Dependent Computations

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1	1
4	2
2	2
9	2
1	1
5	2
2	2
1	2
2	1
5	1
1	1
1	1
1	1
1	1
0	1
5	2
3	1
0	2
4	2
2	2
2	2
2	1
6	2
2	2
1	1
1	1
2	1
1	1
4	1
3	1
0	1
3	2
0	1
0	1
2	2
3	1
1	1
3	2
7	1
0	1
0	2
3	2
4	2
1	2
3	2
2	2
1	2
9	2
2	2
0	1
2	2
4	1
1	2
4	2
3	1
2	2
0	1
2	1
2	2
1	1
3	2
1	2
1	2
1	2
1	1
0	2
1	1
0	2
0	1
1	2
0	2
1	2
0	1
1	2
0	1
9	2
2	1
2	2
0	1
3	2
4	2
0	1
1	1
2	1
4	2
0	2
7	2
4	2
1	2
5	1
3	2
2	1
3	1
1	1
3	1
1	2
2	2
2	2
2	1
2	2
0	2
2	1
0	1
3	2
0	2
3	2
0	2
1	1
1	1
5	1
1	2
0	2
0	2
0	1
0	1
2	2
5	1
0	1
1	2
1	1
3	1
1	1
6	2
8	2
2	2
2	2
2	2
1	1
0	1
1	2
6	2
1	2
0	1
1	2
3	1
1	1
1	1
0	1
1	2
1	1
6	1
0	1
1	1
0	2
2	1
5	2
8	2
4	2
2	2
7	1
2	1
3	1
0	1
5	2
1	2
9	2
0	2
0	1
0	2
2	1
2	2
1	1
1	1
1	1
6	1
1	1
3	2
1	2
1	1

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=&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=&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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
Kledij x Geslacht
12
02214
12920
21221
3910
428
544
623
721
802
904

\begin{tabular}{lllllllll}
\hline
Tabulation of Results \tabularnewline
Kledij  x  Geslacht \tabularnewline
  & 1 & 2 \tabularnewline
0 & 22 & 14 \tabularnewline
1 & 29 & 20 \tabularnewline
2 & 12 & 21 \tabularnewline
3 & 9 & 10 \tabularnewline
4 & 2 & 8 \tabularnewline
5 & 4 & 4 \tabularnewline
6 & 2 & 3 \tabularnewline
7 & 2 & 1 \tabularnewline
8 & 0 & 2 \tabularnewline
9 & 0 & 4 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&T=1

[TABLE]
[ROW][C]Tabulation of Results[/C][/ROW]
[ROW][C]Kledij  x  Geslacht[/C][/ROW]
[ROW][C] [/C][C]1[/C][C]2[/C][/ROW]
[C]0[/C][C]22[/C][C]14[/C][/ROW]
[C]1[/C][C]29[/C][C]20[/C][/ROW]
[C]2[/C][C]12[/C][C]21[/C][/ROW]
[C]3[/C][C]9[/C][C]10[/C][/ROW]
[C]4[/C][C]2[/C][C]8[/C][/ROW]
[C]5[/C][C]4[/C][C]4[/C][/ROW]
[C]6[/C][C]2[/C][C]3[/C][/ROW]
[C]7[/C][C]2[/C][C]1[/C][/ROW]
[C]8[/C][C]0[/C][C]2[/C][/ROW]
[C]9[/C][C]0[/C][C]4[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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
Kledij x Geslacht
12
02214
12920
21221
3910
428
544
623
721
802
904






Tabulation of Expected Results
Kledij x Geslacht
12
017.4718.53
123.7825.22
216.0116.99
39.229.78
44.855.15
53.884.12
62.432.57
71.461.54
80.971.03
91.942.06

\begin{tabular}{lllllllll}
\hline
Tabulation of Expected Results \tabularnewline
Kledij  x  Geslacht \tabularnewline
  & 1 & 2 \tabularnewline
0 & 17.47 & 18.53 \tabularnewline
1 & 23.78 & 25.22 \tabularnewline
2 & 16.01 & 16.99 \tabularnewline
3 & 9.22 & 9.78 \tabularnewline
4 & 4.85 & 5.15 \tabularnewline
5 & 3.88 & 4.12 \tabularnewline
6 & 2.43 & 2.57 \tabularnewline
7 & 1.46 & 1.54 \tabularnewline
8 & 0.97 & 1.03 \tabularnewline
9 & 1.94 & 2.06 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&T=2

[TABLE]
[ROW][C]Tabulation of Expected Results[/C][/ROW]
[ROW][C]Kledij  x  Geslacht[/C][/ROW]
[ROW][C] [/C][C]1[/C][C]2[/C][/ROW]
[C]0[/C][C]17.47[/C][C]18.53[/C][/ROW]
[C]1[/C][C]23.78[/C][C]25.22[/C][/ROW]
[C]2[/C][C]16.01[/C][C]16.99[/C][/ROW]
[C]3[/C][C]9.22[/C][C]9.78[/C][/ROW]
[C]4[/C][C]4.85[/C][C]5.15[/C][/ROW]
[C]5[/C][C]3.88[/C][C]4.12[/C][/ROW]
[C]6[/C][C]2.43[/C][C]2.57[/C][/ROW]
[C]7[/C][C]1.46[/C][C]1.54[/C][/ROW]
[C]8[/C][C]0.97[/C][C]1.03[/C][/ROW]
[C]9[/C][C]1.94[/C][C]2.06[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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
Kledij x Geslacht
12
017.4718.53
123.7825.22
216.0116.99
39.229.78
44.855.15
53.884.12
62.432.57
71.461.54
80.971.03
91.942.06






Statistical Results
Pearson's Chi-squared test
Pearson Chi Square Statistic15.94
Degrees of Freedom9
P value0.07

\begin{tabular}{lllllllll}
\hline
Statistical Results \tabularnewline
Pearson's Chi-squared test \tabularnewline
Pearson Chi Square Statistic & 15.94 \tabularnewline
Degrees of Freedom & 9 \tabularnewline
P value & 0.07 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]15.94[/C][/ROW]
[ROW][C]Degrees of Freedom[/C][C]9[/C][/ROW]
[ROW][C]P value[/C][C]0.07[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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 Statistic15.94
Degrees of Freedom9
P value0.07


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 111111 ; par2 = 222222 ; par3 = Pearson Chi-SquaredPearson Chi-SquaredPearson Chi-SquaredPearson Chi-SquaredPearson Chi-SquaredPearson Chi-Squared ;
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')