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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 computationWed, 21 Jan 2015 08:10:53 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2015/Jan/21/t1421827909z2nf6lzn06xcr9b.htm/, Retrieved Mon, 13 May 2024 20:36:08 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=275623, Retrieved Mon, 13 May 2024 20:36:08 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact82

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] [vraag 3] [2015-01-21 08:10:53] [7de4f24d5c21ad7c83693f758b02221d] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
0.7 1.9
-1.6 0.8
-0.2 1.1
-1.2 0.1
-0.1 -0.1
3.4 4.4
3.7 5.5
0.8 1.6
0 4.6
2 3.4

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=275623&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=275623&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=275623&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 Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net






Tabulation of Results
Placebo x Slaappil
-0.10.10.81.11.61.93.44.44.65.5
-1.60010000000
-1.20100000000
-0.20001000000
-0.11000000000
00000000010
0.70000010000
0.80000100000
20000001000
3.40000000100
3.70000000001

\begin{tabular}{lllllllll}
\hline
Tabulation of Results \tabularnewline
Placebo  x  Slaappil \tabularnewline
  & -0.1 & 0.1 & 0.8 & 1.1 & 1.6 & 1.9 & 3.4 & 4.4 & 4.6 & 5.5 \tabularnewline
-1.6 & 0 & 0 & 1 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline
-1.2 & 0 & 1 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline
-0.2 & 0 & 0 & 0 & 1 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline
-0.1 & 1 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline
0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 0 \tabularnewline
0.7 & 0 & 0 & 0 & 0 & 0 & 1 & 0 & 0 & 0 & 0 \tabularnewline
0.8 & 0 & 0 & 0 & 0 & 1 & 0 & 0 & 0 & 0 & 0 \tabularnewline
2 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 0 & 0 & 0 \tabularnewline
3.4 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 0 & 0 \tabularnewline
3.7 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=275623&T=1

[TABLE]
[ROW][C]Tabulation of Results[/C][/ROW]
[ROW][C]Placebo  x  Slaappil[/C][/ROW]
[ROW][C] [/C][C]-0.1[/C][C]0.1[/C][C]0.8[/C][C]1.1[/C][C]1.6[/C][C]1.9[/C][C]3.4[/C][C]4.4[/C][C]4.6[/C][C]5.5[/C][/ROW]
[C]-1.6[/C][C]0[/C][C]0[/C][C]1[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][/ROW]
[C]-1.2[/C][C]0[/C][C]1[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][/ROW]
[C]-0.2[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][/ROW]
[C]-0.1[/C][C]1[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][/ROW]
[C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][C]0[/C][/ROW]
[C]0.7[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][/ROW]
[C]0.8[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][/ROW]
[C]2[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][C]0[/C][C]0[/C][C]0[/C][/ROW]
[C]3.4[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[C]3.7[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=275623&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=275623&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
Placebo x Slaappil
-0.10.10.81.11.61.93.44.44.65.5
-1.60010000000
-1.20100000000
-0.20001000000
-0.11000000000
00000000010
0.70000010000
0.80000100000
20000001000
3.40000000100
3.70000000001






Tabulation of Expected Results
Placebo x Slaappil
-0.10.10.81.11.61.93.44.44.65.5
-1.60.10.10.10.10.10.10.10.10.10.1
-1.20.10.10.10.10.10.10.10.10.10.1
-0.20.10.10.10.10.10.10.10.10.10.1
-0.10.10.10.10.10.10.10.10.10.10.1
00.10.10.10.10.10.10.10.10.10.1
0.70.10.10.10.10.10.10.10.10.10.1
0.80.10.10.10.10.10.10.10.10.10.1
20.10.10.10.10.10.10.10.10.10.1
3.40.10.10.10.10.10.10.10.10.10.1
3.70.10.10.10.10.10.10.10.10.10.1

\begin{tabular}{lllllllll}
\hline
Tabulation of Expected Results \tabularnewline
Placebo  x  Slaappil \tabularnewline
  & -0.1 & 0.1 & 0.8 & 1.1 & 1.6 & 1.9 & 3.4 & 4.4 & 4.6 & 5.5 \tabularnewline
-1.6 & 0.1 & 0.1 & 0.1 & 0.1 & 0.1 & 0.1 & 0.1 & 0.1 & 0.1 & 0.1 \tabularnewline
-1.2 & 0.1 & 0.1 & 0.1 & 0.1 & 0.1 & 0.1 & 0.1 & 0.1 & 0.1 & 0.1 \tabularnewline
-0.2 & 0.1 & 0.1 & 0.1 & 0.1 & 0.1 & 0.1 & 0.1 & 0.1 & 0.1 & 0.1 \tabularnewline
-0.1 & 0.1 & 0.1 & 0.1 & 0.1 & 0.1 & 0.1 & 0.1 & 0.1 & 0.1 & 0.1 \tabularnewline
0 & 0.1 & 0.1 & 0.1 & 0.1 & 0.1 & 0.1 & 0.1 & 0.1 & 0.1 & 0.1 \tabularnewline
0.7 & 0.1 & 0.1 & 0.1 & 0.1 & 0.1 & 0.1 & 0.1 & 0.1 & 0.1 & 0.1 \tabularnewline
0.8 & 0.1 & 0.1 & 0.1 & 0.1 & 0.1 & 0.1 & 0.1 & 0.1 & 0.1 & 0.1 \tabularnewline
2 & 0.1 & 0.1 & 0.1 & 0.1 & 0.1 & 0.1 & 0.1 & 0.1 & 0.1 & 0.1 \tabularnewline
3.4 & 0.1 & 0.1 & 0.1 & 0.1 & 0.1 & 0.1 & 0.1 & 0.1 & 0.1 & 0.1 \tabularnewline
3.7 & 0.1 & 0.1 & 0.1 & 0.1 & 0.1 & 0.1 & 0.1 & 0.1 & 0.1 & 0.1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=275623&T=2

[TABLE]
[ROW][C]Tabulation of Expected Results[/C][/ROW]
[ROW][C]Placebo  x  Slaappil[/C][/ROW]
[ROW][C] [/C][C]-0.1[/C][C]0.1[/C][C]0.8[/C][C]1.1[/C][C]1.6[/C][C]1.9[/C][C]3.4[/C][C]4.4[/C][C]4.6[/C][C]5.5[/C][/ROW]
[C]-1.6[/C][C]0.1[/C][C]0.1[/C][C]0.1[/C][C]0.1[/C][C]0.1[/C][C]0.1[/C][C]0.1[/C][C]0.1[/C][C]0.1[/C][C]0.1[/C][/ROW]
[C]-1.2[/C][C]0.1[/C][C]0.1[/C][C]0.1[/C][C]0.1[/C][C]0.1[/C][C]0.1[/C][C]0.1[/C][C]0.1[/C][C]0.1[/C][C]0.1[/C][/ROW]
[C]-0.2[/C][C]0.1[/C][C]0.1[/C][C]0.1[/C][C]0.1[/C][C]0.1[/C][C]0.1[/C][C]0.1[/C][C]0.1[/C][C]0.1[/C][C]0.1[/C][/ROW]
[C]-0.1[/C][C]0.1[/C][C]0.1[/C][C]0.1[/C][C]0.1[/C][C]0.1[/C][C]0.1[/C][C]0.1[/C][C]0.1[/C][C]0.1[/C][C]0.1[/C][/ROW]
[C]0[/C][C]0.1[/C][C]0.1[/C][C]0.1[/C][C]0.1[/C][C]0.1[/C][C]0.1[/C][C]0.1[/C][C]0.1[/C][C]0.1[/C][C]0.1[/C][/ROW]
[C]0.7[/C][C]0.1[/C][C]0.1[/C][C]0.1[/C][C]0.1[/C][C]0.1[/C][C]0.1[/C][C]0.1[/C][C]0.1[/C][C]0.1[/C][C]0.1[/C][/ROW]
[C]0.8[/C][C]0.1[/C][C]0.1[/C][C]0.1[/C][C]0.1[/C][C]0.1[/C][C]0.1[/C][C]0.1[/C][C]0.1[/C][C]0.1[/C][C]0.1[/C][/ROW]
[C]2[/C][C]0.1[/C][C]0.1[/C][C]0.1[/C][C]0.1[/C][C]0.1[/C][C]0.1[/C][C]0.1[/C][C]0.1[/C][C]0.1[/C][C]0.1[/C][/ROW]
[C]3.4[/C][C]0.1[/C][C]0.1[/C][C]0.1[/C][C]0.1[/C][C]0.1[/C][C]0.1[/C][C]0.1[/C][C]0.1[/C][C]0.1[/C][C]0.1[/C][/ROW]
[C]3.7[/C][C]0.1[/C][C]0.1[/C][C]0.1[/C][C]0.1[/C][C]0.1[/C][C]0.1[/C][C]0.1[/C][C]0.1[/C][C]0.1[/C][C]0.1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=275623&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=275623&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
Placebo x Slaappil
-0.10.10.81.11.61.93.44.44.65.5
-1.60.10.10.10.10.10.10.10.10.10.1
-1.20.10.10.10.10.10.10.10.10.10.1
-0.20.10.10.10.10.10.10.10.10.10.1
-0.10.10.10.10.10.10.10.10.10.10.1
00.10.10.10.10.10.10.10.10.10.1
0.70.10.10.10.10.10.10.10.10.10.1
0.80.10.10.10.10.10.10.10.10.10.1
20.10.10.10.10.10.10.10.10.10.1
3.40.10.10.10.10.10.10.10.10.10.1
3.70.10.10.10.10.10.10.10.10.10.1






Statistical Results
Pearson's Chi-squared test with simulated p-value (based on 2000 replicates)
Exact Pearson Chi Square Statistic90
P value1

\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 & 90 \tabularnewline
P value & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=275623&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]90[/C][/ROW]
[ROW][C]P value[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=275623&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=275623&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 Statistic90
P value1


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 <- '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')