Free Statistics

of Irreproducible Research!

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 computationThu, 18 Dec 2014 21:04:46 +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/2014/Dec/18/t1418936703yvyjnypoaiunax9.htm/, Retrieved Fri, 17 May 2024 01:32:35 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=271291, Retrieved Fri, 17 May 2024 01:32:35 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact68
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] [Paper 14 LFM] [2014-12-18 21:04:46] [7919944b2c0818d4401807e8f8057775] [Current]
Feedback Forum

Post a new message
Dataseries X:
'B'	'C'
'B'	'E'
'B'	'C'
'B'	'C'
'A'	'E'
'C'	'E'
'A'	'C'
'A'	'B'
'D'	'B'
'A'	'C'
'A'	'E'
'A'	'C'
'A'	'E'
'C'	'D'
'A'	'C'
'E'	'E'
'E'	'C'
'A'	'C'
'C'	'D'
'B'	'D'
'C'	'D'
'B'	'E'
'B'	'B'
'A'	'D'
'A'	'B'
'B'	'C'
'A'	'D'
'B'	'A'
'E'	'B'
'B'	'D'
'B'	'C'
'E'	'E'
'A'	'C'
'B'	'E'
'C'	'D'
'A'	'D'
'D'	'D'
'D'	'D'
'B'	'D'
'C'	'C'
'A'	'D'
'A'	'C'
'D'	'E'
'B'	'C'
'A'	'B'
'A'	'D'
'E'	'C'
'A'	'C'
'D'	'C'
'E'	'E'
'D'	'C'
'E'	'C'
'C'	'C'
'E'	'E'
'B'	'D'
'A'	'C'
'C'	'B'
'C'	'D'
'C'	'E'
'B'	'B'
'E'	'E'
'D'	'B'
'A'	'D'
'A'	'C'
'D'	'E'
'A'	'A'
'A'	'D'
'E'	'D'
'A'	'C'
'A'	'B'
'A'	'B'
'D'	'C'
'A'	'C'
'C'	'C'
'E'	'E'
'D'	'B'
'A'	'E'
'B'	'C'
'E'	'A'
'A'	'B'
'D'	'C'
'A'	'B'
'E'	'D'
'D'	'E'
'D'	'D'
'C'	'B'
'E'	'D'
'D'	'E'
'C'	'D'
'D'	'C'
'E'	'C'
'E'	'C'
'E'	'E'
'C'	'B'
'E'	'C'
'D'	'E'
'B'	'D'
'D'	'E'
'D'	'E'
'C'	'D'
'C'	'E'
'D'	'C'
'D'	'B'
'D'	'E'
'E'	'D'
'D'	'D'
'E'	'E'
'C'	'D'
'D'	'B'
'D'	'E'
'D'	'B'
'E'	'E'
'E'	'E'
'D'	'D'
'C'	'C'
'D'	'C'
'E'	'E'
'E'	'C'
'B'	'A'
'B'	'A'
'D'	'A'
'E'	'C'
'A'	'A'
'A'	'A'
'A'	'A'
'E'	'B'
'B'	'A'
'E'	'B'
'D'	'D'
'D'	'C'
'B'	'A'
'D'	'B'
'C'	'A'
'D'	'B'
'D'	'B'
'A'	'A'
'D'	'B'
'D'	'B'
'E'	'C'
'E'	'C'
'C'	'A'
'E'	'E'
'B'	'A'
'C'	'A'
'E'	'C'
'A'	'A'
'B'	'A'
'C'	'A'
'B'	'A'
'B'	'A'
'B'	'A'
'C'	'B'
'B'	'C'
'D'	'B'
'C'	'B'
'A'	'A'
'A'	'D'
'D'	'A'
'A'	'A'
'A'	'A'
'E'	'B'
'E'	'B'
'A'	'A'
'D'	'A'
'C'	'B'
'E'	'C'
'C'	'A'
'E'	'A'
'A'	'A'
'E'	'A'
'A'	'A'
'E'	'D'
'C'	'A'
'D'	'A'
'D'	'A'
'E'	'C'
'D'	'A'
'C'	'A'
'B'	'B'
'A'	'A'
'A'	'A'
'D'	'A'
'C'	'B'
'A'	'A'
'B'	'A'
'E'	'E'
'E'	'B'
'C'	'B'
'A'	'A'
'D'	'A'
'B'	'C'
'D'	'A'
'D'	'A'
'D'	'B'
'C'	'C'
'E'	'C'
'E'	'D'
'D'	'A'
'E'	'D'
'D'	'A'
'E'	'B'
'E'	'B'
'B'	'B'
'E'	'B'
'E'	'B'
'D'	'A'
'A'	'A'
'E'	'B'
'B'	'B'
'C'	'A'
'C'	'C'
'E'	'B'
'E'	'D'
'E'	'C'
'E'	'C'
'C'	'A'
'D'	'A'
'E'	'C'
'B'	'A'
'D'	'C'
'E'	'B'
'B'	'A'
'D'	'C'
'D'	'A'
'B'	'B'
'A'	'A'
'E'	'C'
'D'	'A'
'B'	'A'
'E'	'E'
'D'	'C'
'C'	'A'
'A'	'A'
'E'	'A'
'B'	'A'
'E'	'A'
'C'	'A'
'B'	'A'
'A'	'A'
'B'	'A'
'E'	'B'
'A'	'C'
'E'	'D'
'E'	'E'
'E'	'C'
'B'	'B'
'E'	'C'
'E'	'C'
'D'	'B'
'E'	'C'
'D'	'B'
'A'	'A'
'C'	'A'
'E'	'C'
'D'	'B'
'A'	'A'
'C'	'B'
'C'	'A'
'C'	'B'
'B'	'C'
'E'	'C'
'E'	'B'
'E'	'A'
'A'	'B'
'D'	'A'
'E'	'E'
'E'	'E'
'D'	'C'
'D'	'E'
'E'	'D'
'E'	'C'
'D'	'D'
'D'	'B'
'D'	'A'
'E'	'B'
'E'	'B'
'D'	'A'
'C'	'A'
'E'	'D'
'C'	'A'
'E'	'C'
'E'	'A'
'D'	'A'
'D'	'A'
'C'	'B'
'C'	'A'
'E'	'E'




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

\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
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=271291&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]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=271291&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=271291&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







Tabulation of Results
LFM x Score
ABCDE
A2281384
B1771053
C1611683
D211712710
E717261118

\begin{tabular}{lllllllll}
\hline
Tabulation of Results \tabularnewline
LFM  x  Score \tabularnewline
  & A & B & C & D & E \tabularnewline
A & 22 & 8 & 13 & 8 & 4 \tabularnewline
B & 17 & 7 & 10 & 5 & 3 \tabularnewline
C & 16 & 11 & 6 & 8 & 3 \tabularnewline
D & 21 & 17 & 12 & 7 & 10 \tabularnewline
E & 7 & 17 & 26 & 11 & 18 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=271291&T=1

[TABLE]
[ROW][C]Tabulation of Results[/C][/ROW]
[ROW][C]LFM  x  Score[/C][/ROW]
[ROW][C] [/C][C]A[/C][C]B[/C][C]C[/C][C]D[/C][C]E[/C][/ROW]
[C]A[/C][C]22[/C][C]8[/C][C]13[/C][C]8[/C][C]4[/C][/ROW]
[C]B[/C][C]17[/C][C]7[/C][C]10[/C][C]5[/C][C]3[/C][/ROW]
[C]C[/C][C]16[/C][C]11[/C][C]6[/C][C]8[/C][C]3[/C][/ROW]
[C]D[/C][C]21[/C][C]17[/C][C]12[/C][C]7[/C][C]10[/C][/ROW]
[C]E[/C][C]7[/C][C]17[/C][C]26[/C][C]11[/C][C]18[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=271291&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=271291&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
LFM x Score
ABCDE
A2281384
B1771053
C1611683
D211712710
E717261118







Tabulation of Expected Results
LFM x Score
ABCDE
A15.9111.512.847.477.28
B12.158.789.85.715.56
C12.729.210.275.985.83
D19.3814.0115.649.18.87
E22.8516.5218.4410.7410.46

\begin{tabular}{lllllllll}
\hline
Tabulation of Expected Results \tabularnewline
LFM  x  Score \tabularnewline
  & A & B & C & D & E \tabularnewline
A & 15.91 & 11.5 & 12.84 & 7.47 & 7.28 \tabularnewline
B & 12.15 & 8.78 & 9.8 & 5.71 & 5.56 \tabularnewline
C & 12.72 & 9.2 & 10.27 & 5.98 & 5.83 \tabularnewline
D & 19.38 & 14.01 & 15.64 & 9.1 & 8.87 \tabularnewline
E & 22.85 & 16.52 & 18.44 & 10.74 & 10.46 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=271291&T=2

[TABLE]
[ROW][C]Tabulation of Expected Results[/C][/ROW]
[ROW][C]LFM  x  Score[/C][/ROW]
[ROW][C] [/C][C]A[/C][C]B[/C][C]C[/C][C]D[/C][C]E[/C][/ROW]
[C]A[/C][C]15.91[/C][C]11.5[/C][C]12.84[/C][C]7.47[/C][C]7.28[/C][/ROW]
[C]B[/C][C]12.15[/C][C]8.78[/C][C]9.8[/C][C]5.71[/C][C]5.56[/C][/ROW]
[C]C[/C][C]12.72[/C][C]9.2[/C][C]10.27[/C][C]5.98[/C][C]5.83[/C][/ROW]
[C]D[/C][C]19.38[/C][C]14.01[/C][C]15.64[/C][C]9.1[/C][C]8.87[/C][/ROW]
[C]E[/C][C]22.85[/C][C]16.52[/C][C]18.44[/C][C]10.74[/C][C]10.46[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=271291&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=271291&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
LFM x Score
ABCDE
A15.9111.512.847.477.28
B12.158.789.85.715.56
C12.729.210.275.985.83
D19.3814.0115.649.18.87
E22.8516.5218.4410.7410.46







Statistical Results
Pearson's Chi-squared test
Pearson Chi Square Statistic35.31
Degrees of Freedom16
P value0

\begin{tabular}{lllllllll}
\hline
Statistical Results \tabularnewline
Pearson's Chi-squared test \tabularnewline
Pearson Chi Square Statistic & 35.31 \tabularnewline
Degrees of Freedom & 16 \tabularnewline
P value & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=271291&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]35.31[/C][/ROW]
[ROW][C]Degrees of Freedom[/C][C]16[/C][/ROW]
[ROW][C]P value[/C][C]0[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=271291&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=271291&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 Statistic35.31
Degrees of Freedom16
P value0



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):
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')