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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 Jan 2015 15:30:44 +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/18/t1421595050keueeggtzodssou.htm/, Retrieved Thu, 31 Oct 2024 23:06:54 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=274225, Retrieved Thu, 31 Oct 2024 23:06:54 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact81
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] [] [2015-01-18 15:30:44] [d6e8bf517fe66b8503604aeb9a6628d3] [Current]
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Dataseries X:
21 1 0
22 1 1
22 1 0
18 1 1
23 1 1
12 1 1
20 1 0
22 1 1
21 1 1
19 1 1
22 1 1
15 1 1
20 1 1
19 1 0
18 1 0
15 0 0
20 1 1
21 1 0
21 0 1
15 1 0
16 1 1
23 1 1
21 1 0
18 1 1
25 1 1
9 1 1
30 0 1
20 0 0
23 1 1
16 1 0
16 1 0
19 1 0
25 1 1
18 1 1
23 1 1
21 1 1
10 1 0
14 0 1
22 1 1
26 1 0
23 1 1
23 1 1
24 1 1
24 1 1
18 0 1
23 1 0
15 1 1
19 0 1
16 1 0
25 0 1
23 0 1
17 0 1
19 1 1
21 0 1
18 1 1
27 1 1
21 0 0
13 1 1
8 0 0
29 0 1
28 1 1
23 1 0
21 1 0
19 1 1
19 1 0
20 0 1
18 1 0
19 1 1
17 1 1
19 0 0
25 1 0
19 1 0
22 0 0
23 0 1
14 1 0
16 1 0
24 0 1
20 1 0
12 0 0
24 1 1
22 0 0
12 0 0
22 0 0
20 0 1
10 0 0
23 0 1
17 0 1
22 0 0
24 0 0
18 0 0
21 0 1
20 0 1
20 0 1
22 0 0
19 0 1
20 0 0
26 0 1
23 0 1
24 0 1
21 0 1
21 0 1
19 0 0
8 0 1
17 0 1
20 0 1
11 0 0
8 0 0
15 0 0
18 0 0
18 0 0
19 0 0
19 0 1
23 1 1
22 1 1
21 1 1
25 1 1
30 0 0
17 0 1
27 1 1
23 1 0
23 1 1
18 1 0
18 1 0
23 1 1
19 1 1
15 1 1
20 1 1
16 1 1
24 0 1
25 1 1
25 1 1
19 1 0
19 1 1
16 1 1
19 1 1
19 1 1
23 1 1
21 1 1
22 1 0
19 1 1
20 0 1
20 1 1
3 1 1
23 1 1
23 1 0
20 1 0
15 1 1
16 1 0
7 1 0
24 1 1
17 1 0
24 1 1
24 1 1
19 1 0
25 0 1
20 0 1
28 1 1
23 1 0
27 0 0
18 0 0
28 0 0
21 0 1
19 1 0
23 1 1
27 0 0
22 0 1
28 0 0
25 0 1
21 0 0
22 0 0
28 0 1
20 0 0
29 0 1
25 1 1
25 1 1
20 0 1
20 1 1
16 1 0
20 0 1
20 1 0
23 0 0
18 0 0
25 1 1
18 0 0
19 0 1
25 0 0
25 0 0
25 0 0
24 0 0
19 0 1
26 0 1
10 0 1
17 0 1
13 0 0
17 0 0
30 0 1
25 1 0
4 0 0
16 0 0
21 0 0
23 1 1
22 0 1
17 1 0
20 0 0
20 1 1
22 0 0
16 1 1
23 0 1
0 0 0
18 0 1
25 0 1
23 1 1
12 1 0
18 0 0
24 1 0
11 1 1
18 0 1
23 1 1
24 0 1
29 0 0
18 1 0
15 0 0
29 1 1
16 1 1
19 1 0
22 0 0
16 1 0
23 0 1
23 1 1
19 1 0
4 1 0
20 1 0
24 0 1
20 1 1
4 1 1
24 1 1
22 0 0
16 1 1
3 1 1
15 0 1
24 1 0
17 0 0
20 0 1
27 0 0
26 0 1
23 0 1
17 1 0
20 1 1
22 1 0
19 1 1
24 1 1
19 1 0
23 0 1
15 0 0
27 1 1
26 0 0
22 0 1
22 1 0
18 0 0
15 0 1
22 0 1
27 0 0
10 0 1
20 0 1
17 0 0
23 0 1
19 0 0
13 0 0
27 0 1
23 0 1
16 0 0
25 0 1
2 0 0
26 0 0
20 0 1
23 1 0
22 0 0
24 0 1




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.wessa.net
R Engine error message
Error in loglin(x, expected, fit = TRUE, print = FALSE) : 
  incorrect specification of 'table' or 'start'
Calls: assoc -> assoc.default -> strucplot -> loglin
Execution halted

\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 & 1 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
R Engine error message & 
Error in loglin(x, expected, fit = TRUE, print = FALSE) : 
  incorrect specification of 'table' or 'start'
Calls: assoc -> assoc.default -> strucplot -> loglin
Execution halted
\tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=274225&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]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[ROW][C]R Engine error message[/C][C]
Error in loglin(x, expected, fit = TRUE, print = FALSE) : 
  incorrect specification of 'table' or 'start'
Calls: assoc -> assoc.default -> strucplot -> loglin
Execution halted
[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=274225&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=274225&T=0

As an alternative you can also use a 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 time1 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.wessa.net
R Engine error message
Error in loglin(x, expected, fit = TRUE, print = FALSE) : 
  incorrect specification of 'table' or 'start'
Calls: assoc -> assoc.default -> strucplot -> loglin
Execution halted



Parameters (Session):
par3 = Pearson Chi-Squared ;
Parameters (R input):
par1 = ; par2 = ; 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')