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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 computationSat, 12 Nov 2011 05:35:39 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Nov/12/t1321094181b0l3s41dopz5shc.htm/, Retrieved Tue, 31 Jan 2023 01:09:36 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=141420, Retrieved Tue, 31 Jan 2023 01:09:36 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact137
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Chi-Squared and McNemar Tests] [] [2010-11-16 14:33:59] [b98453cac15ba1066b407e146608df68]
- R PD  [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [Workshop 6 - Happ...] [2011-11-12 10:25:43] [6a3e51c0c7ab195427042dfaef1df5a0]
-    D      [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [Workshop 6: Happi...] [2011-11-12 10:35:39] [9afaf62527660fe62ab98f95fea710a5] [Current]
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Dataseries X:
'B'	'A'
'A'	'A'
'D'	'D'
'D'	'D'
'A'	'B'
'A'	'B'
'B'	'A'
'B'	'B'
'B'	'B'
'B'	'A'
'A'	'A'
'A'	'B'
'D'	'A'
'A'	'A'
'A'	'C'
'B'	'C'
'B'	'B'
'A'	'A'
'B'	'A'
'A'	'C'
'A'	'C'
'D'	'D'
'B'	'A'
'D'	'A'
'A'	'A'
'D'	'A'
'A'	'B'
'B'	'C'
'B'	'C'
'D'	'B'
'A'	'D'
'C'	'D'
'A'	'A'
'B'	'B'
'B'	'B'
'A'	'C'
'D'	'D'
'B'	'B'
'A'	'D'
'C'	'B'
'B'	'A'
'A'	'B'
'A'	'A'
'D'	'B'
'D'	'A'
'D'	'A'
'B'	'A'
'B'	'C'
'A'	'B'
'C'	'A'
'A'	'C'
'B'	'C'
'D'	'C'
'D'	'B'
'D'	'C'
'B'	'A'
'A'	'A'
'B'	'D'
'D'	'A'
'D'	'B'
'D'	'D'
'C'	'A'
'D'	'B'
'B'	'D'
'B'	'B'
'D'	'B'
'D'	'B'
'D'	'D'
'B'	'A'
'B'	'B'
'B'	'A'
'A'	'D'
'B'	'B'
'B'	'A'
'C'	'B'
'D'	'A'
'A'	'A'
'C'	'B'
'B'	'D'
'C'	'A'
'B'	'C'
'A'	'A'
'B'	'B'
'A'	'A'
'B'	'C'
'B'	'C'
'B'	'A'
'B'	'C'
'C'	'D'
'D'	'C'
'A'	'D'
'C'	'B'
'B'	'B'
'B'	'C'
'C'	'D'
'A'	'A'
'D'	'A'
'B'	'B'
'A'	'A'
'B'	'C'
'A'	'A'
'D'	'A'
'A'	'B'
'D'	'C'
'B'	'C'
'D'	'A'
'A'	'A'
'B'	'A'
'D'	'B'
'D'	'A'
'B'	'D'
'D'	'D'
'C'	'C'
'B'	'C'
'A'	'A'
'A'	'A'
'B'	'C'
'B'	'B'
'B'	'C'
'B'	'A'
'D'	'C'
'B'	'D'
'B'	'A'
'B'	'A'
'B'	'C'
'C'	'D'
'A'	'A'
'A'	'A'
'A'	'C'
'B'	'B'
'C'	'C'
'D'	'D'
'B'	'A'
'B'	'D'
'B'	'A'
'A'	'C'
'D'	'D'
'B'	'B'
'D'	'D'
'B'	'B'
'C'	'D'
'B'	'C'
'A'	'D'
'B'	'D'
'B'	'D'
'A'	'A'
'A'	'C'
'D'	'B'
'D'	'C'
'D'	'B'
'A'	'A'
'C'	'A'
'A'	'B'
'D'	'B'
'D'	'B'
'C'	'C'
'C'	'B'
'B'	'C'
'A'	'C'
'C'	'B'
'D'	'C'
'C'	'B'




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=141420&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=141420&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=141420&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'Gwilym Jenkins' @ jenkins.wessa.net







Tabulation of Results
Happiness x Connected
ABCD
A21895
B1816188
C4735
D1112710

\begin{tabular}{lllllllll}
\hline
Tabulation of Results \tabularnewline
Happiness  x  Connected \tabularnewline
  & A & B & C & D \tabularnewline
A & 21 & 8 & 9 & 5 \tabularnewline
B & 18 & 16 & 18 & 8 \tabularnewline
C & 4 & 7 & 3 & 5 \tabularnewline
D & 11 & 12 & 7 & 10 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=141420&T=1

[TABLE]
[ROW][C]Tabulation of Results[/C][/ROW]
[ROW][C]Happiness  x  Connected[/C][/ROW]
[ROW][C] [/C][C]A[/C][C]B[/C][C]C[/C][C]D[/C][/ROW]
[C]A[/C][C]21[/C][C]8[/C][C]9[/C][C]5[/C][/ROW]
[C]B[/C][C]18[/C][C]16[/C][C]18[/C][C]8[/C][/ROW]
[C]C[/C][C]4[/C][C]7[/C][C]3[/C][C]5[/C][/ROW]
[C]D[/C][C]11[/C][C]12[/C][C]7[/C][C]10[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=141420&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=141420&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Tabulation of Results
Happiness x Connected
ABCD
A21895
B1816188
C4735
D1112710







Tabulation of Expected Results
Happiness x Connected
ABCD
A14.3311.419.827.43
B2015.9313.710.37
C6.335.044.343.28
D13.3310.629.146.91

\begin{tabular}{lllllllll}
\hline
Tabulation of Expected Results \tabularnewline
Happiness  x  Connected \tabularnewline
  & A & B & C & D \tabularnewline
A & 14.33 & 11.41 & 9.82 & 7.43 \tabularnewline
B & 20 & 15.93 & 13.7 & 10.37 \tabularnewline
C & 6.33 & 5.04 & 4.34 & 3.28 \tabularnewline
D & 13.33 & 10.62 & 9.14 & 6.91 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=141420&T=2

[TABLE]
[ROW][C]Tabulation of Expected Results[/C][/ROW]
[ROW][C]Happiness  x  Connected[/C][/ROW]
[ROW][C] [/C][C]A[/C][C]B[/C][C]C[/C][C]D[/C][/ROW]
[C]A[/C][C]14.33[/C][C]11.41[/C][C]9.82[/C][C]7.43[/C][/ROW]
[C]B[/C][C]20[/C][C]15.93[/C][C]13.7[/C][C]10.37[/C][/ROW]
[C]C[/C][C]6.33[/C][C]5.04[/C][C]4.34[/C][C]3.28[/C][/ROW]
[C]D[/C][C]13.33[/C][C]10.62[/C][C]9.14[/C][C]6.91[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=141420&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=141420&T=2

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Tabulation of Expected Results
Happiness x Connected
ABCD
A14.3311.419.827.43
B2015.9313.710.37
C6.335.044.343.28
D13.3310.629.146.91







Statistical Results
Pearson's Chi-squared test
Pearson Chi Square Statistic12.47
Degrees of Freedom9
P value0.19

\begin{tabular}{lllllllll}
\hline
Statistical Results \tabularnewline
Pearson's Chi-squared test \tabularnewline
Pearson Chi Square Statistic & 12.47 \tabularnewline
Degrees of Freedom & 9 \tabularnewline
P value & 0.19 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=141420&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]12.47[/C][/ROW]
[ROW][C]Degrees of Freedom[/C][C]9[/C][/ROW]
[ROW][C]P value[/C][C]0.19[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=141420&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=141420&T=3

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Statistical Results
Pearson's Chi-squared test
Pearson Chi Square Statistic12.47
Degrees of Freedom9
P value0.19



Parameters (Session):
par1 = 1 ; par2 = 2 ; par3 = Pearson Chi-Squared ;
Parameters (R input):
par1 = 1 ; par2 = 2 ; 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')