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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, 22 Aug 2015 22:06:23 +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/2015/Aug/22/t14402775930idivlpwum482s7.htm/, Retrieved Thu, 16 May 2024 14:55:47 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=280304, Retrieved Thu, 16 May 2024 14:55:47 +0000
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Original text written by user:
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User-defined keywords
Estimated Impact173
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] [hi i2] [2015-08-19 11:04:54] [5b73c907efdd91cd8d467e65f28ae5f1]
-    D  [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [] [2015-08-19 12:12:32] [5b73c907efdd91cd8d467e65f28ae5f1]
- R         [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [] [2015-08-22 21:06:23] [8145b3fe416df466b077d26de89041cd] [Current]
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Dataseries X:
0	8
0	18
0	18
0	12
0	24
0	16
0	19
0	16
0	15
0	28
0	21
0	18
0	22
0	19
0	22
0	25
1	20
0	16
0	19
1	18
0	26
0	24
0	20
0	19
0	19
0	23
0	18
1	16
1	18
0	21
0	20
0	15
0	19
0	27
0	19
0	7
0	20
0	20
0	19
1	19
0	20
0	18
0	14
0	17
0	17
0	8
1	9
0	22
0	20
1	20
0	22
1	22
1	22
1	16
0	14
1	24
0	21
0	20
1	20
0	18
1	14
1	19
0	24
0	19
0	16
0	16
0	16
1	14
0	22
0	21
0	15
1	14
0	15
0	14
1	20
1	21
0	17
0	14
0	16
1	13
0	26
1	13
0	18
1	15
1	18
1	21
1	17
1	18
1	20
1	18
1	25
1	20
1	19
1	18
1	12
1	22
1	16
1	18
1	23
1	20
1	20
1	16
1	22
1	19
1	23
1	6
1	19
1	24
1	19
1	15
1	18
1	18
1	22
1	23
1	18
0	17
0	6
0	22
0	20
1	16
1	16
0	17
0	20
0	23
0	18
0	13
0	22
0	20
0	20
0	13
0	16
1	25
0	16
0	15
0	19
0	19
0	24
0	9
0	22
0	15
0	22
0	22
0	24
1	12
0	21
0	25
0	26
0	19
0	21
0	14
0	28
0	16
0	21
0	16
0	16
0	25
0	21
0	22
0	9
1	20
1	19
0	24
0	22
1	22
1	12
1	17
1	18
0	10
0	22
1	24
1	18
1	18
1	23
1	21
1	21
1	28
1	17
1	21
0	21
0	20
1	18
0	17
0	7
1	17
0	14
1	18
1	14
0	23
1	20
1	14
1	17
1	21
1	23
1	24
1	21
1	14
1	24
1	16
1	21
1	8
1	17
0	18
1	17
1	16
1	22
0	17
1	21
0	20
1	20
0	19
1	8
0	19
1	11
1	15
1	13
1	18
1	19
0	23
0	20
1	22
0	19
0	16
1	11
0	11
0	21
1	14
1	21
0	20
1	21
0	20
0	19
0	19
1	18
0	20
1	21
0	22
0	19
0	23
0	16
1	23
0	18
0	23
0	20
1	20
0	23
0	13
1	21
0	26
1	18
1	19
1	18
0	19
1	18
1	19
0	13
0	10
0	21
0	24
0	21
0	23
1	18
1	11
0	16
1	20
1	20
0	26
1	21
1	12
1	15
1	18
1	14
1	18
1	16
1	19
1	7
1	21
1	24
1	21
1	20
1	22
1	17
1	19
1	20
0	16
1	20
1	16




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Herman Ole Andreas Wold' @ wold.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 & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=280304&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=280304&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=280304&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 time2 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net







Tabulation of Results
I2 x B-S
01
611
721
822
921
1020
1113
1214
1343
1468
1564
161610
1778
181023
191912
201817
211216
22149
2386
2476
2532
2650
2710
2821

\begin{tabular}{lllllllll}
\hline
Tabulation of Results \tabularnewline
I2  x  B-S \tabularnewline
  & 0 & 1 \tabularnewline
6 & 1 & 1 \tabularnewline
7 & 2 & 1 \tabularnewline
8 & 2 & 2 \tabularnewline
9 & 2 & 1 \tabularnewline
10 & 2 & 0 \tabularnewline
11 & 1 & 3 \tabularnewline
12 & 1 & 4 \tabularnewline
13 & 4 & 3 \tabularnewline
14 & 6 & 8 \tabularnewline
15 & 6 & 4 \tabularnewline
16 & 16 & 10 \tabularnewline
17 & 7 & 8 \tabularnewline
18 & 10 & 23 \tabularnewline
19 & 19 & 12 \tabularnewline
20 & 18 & 17 \tabularnewline
21 & 12 & 16 \tabularnewline
22 & 14 & 9 \tabularnewline
23 & 8 & 6 \tabularnewline
24 & 7 & 6 \tabularnewline
25 & 3 & 2 \tabularnewline
26 & 5 & 0 \tabularnewline
27 & 1 & 0 \tabularnewline
28 & 2 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=280304&T=1

[TABLE]
[ROW][C]Tabulation of Results[/C][/ROW]
[ROW][C]I2  x  B-S[/C][/ROW]
[ROW][C] [/C][C]0[/C][C]1[/C][/ROW]
[C]6[/C][C]1[/C][C]1[/C][/ROW]
[C]7[/C][C]2[/C][C]1[/C][/ROW]
[C]8[/C][C]2[/C][C]2[/C][/ROW]
[C]9[/C][C]2[/C][C]1[/C][/ROW]
[C]10[/C][C]2[/C][C]0[/C][/ROW]
[C]11[/C][C]1[/C][C]3[/C][/ROW]
[C]12[/C][C]1[/C][C]4[/C][/ROW]
[C]13[/C][C]4[/C][C]3[/C][/ROW]
[C]14[/C][C]6[/C][C]8[/C][/ROW]
[C]15[/C][C]6[/C][C]4[/C][/ROW]
[C]16[/C][C]16[/C][C]10[/C][/ROW]
[C]17[/C][C]7[/C][C]8[/C][/ROW]
[C]18[/C][C]10[/C][C]23[/C][/ROW]
[C]19[/C][C]19[/C][C]12[/C][/ROW]
[C]20[/C][C]18[/C][C]17[/C][/ROW]
[C]21[/C][C]12[/C][C]16[/C][/ROW]
[C]22[/C][C]14[/C][C]9[/C][/ROW]
[C]23[/C][C]8[/C][C]6[/C][/ROW]
[C]24[/C][C]7[/C][C]6[/C][/ROW]
[C]25[/C][C]3[/C][C]2[/C][/ROW]
[C]26[/C][C]5[/C][C]0[/C][/ROW]
[C]27[/C][C]1[/C][C]0[/C][/ROW]
[C]28[/C][C]2[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=280304&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=280304&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
I2 x B-S
01
611
721
822
921
1020
1113
1214
1343
1468
1564
161610
1778
181023
191912
201817
211216
22149
2386
2476
2532
2650
2710
2821







Tabulation of Expected Results
I2 x B-S
01
61.040.96
71.561.44
82.081.92
91.561.44
101.040.96
112.081.92
122.62.4
133.653.35
147.296.71
155.214.79
1613.5512.45
177.817.19
1817.1915.81
1916.1514.85
2018.2316.77
2114.5913.41
2211.9811.02
237.296.71
246.776.23
252.62.4
262.62.4
270.520.48
281.561.44

\begin{tabular}{lllllllll}
\hline
Tabulation of Expected Results \tabularnewline
I2  x  B-S \tabularnewline
  & 0 & 1 \tabularnewline
6 & 1.04 & 0.96 \tabularnewline
7 & 1.56 & 1.44 \tabularnewline
8 & 2.08 & 1.92 \tabularnewline
9 & 1.56 & 1.44 \tabularnewline
10 & 1.04 & 0.96 \tabularnewline
11 & 2.08 & 1.92 \tabularnewline
12 & 2.6 & 2.4 \tabularnewline
13 & 3.65 & 3.35 \tabularnewline
14 & 7.29 & 6.71 \tabularnewline
15 & 5.21 & 4.79 \tabularnewline
16 & 13.55 & 12.45 \tabularnewline
17 & 7.81 & 7.19 \tabularnewline
18 & 17.19 & 15.81 \tabularnewline
19 & 16.15 & 14.85 \tabularnewline
20 & 18.23 & 16.77 \tabularnewline
21 & 14.59 & 13.41 \tabularnewline
22 & 11.98 & 11.02 \tabularnewline
23 & 7.29 & 6.71 \tabularnewline
24 & 6.77 & 6.23 \tabularnewline
25 & 2.6 & 2.4 \tabularnewline
26 & 2.6 & 2.4 \tabularnewline
27 & 0.52 & 0.48 \tabularnewline
28 & 1.56 & 1.44 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=280304&T=2

[TABLE]
[ROW][C]Tabulation of Expected Results[/C][/ROW]
[ROW][C]I2  x  B-S[/C][/ROW]
[ROW][C] [/C][C]0[/C][C]1[/C][/ROW]
[C]6[/C][C]1.04[/C][C]0.96[/C][/ROW]
[C]7[/C][C]1.56[/C][C]1.44[/C][/ROW]
[C]8[/C][C]2.08[/C][C]1.92[/C][/ROW]
[C]9[/C][C]1.56[/C][C]1.44[/C][/ROW]
[C]10[/C][C]1.04[/C][C]0.96[/C][/ROW]
[C]11[/C][C]2.08[/C][C]1.92[/C][/ROW]
[C]12[/C][C]2.6[/C][C]2.4[/C][/ROW]
[C]13[/C][C]3.65[/C][C]3.35[/C][/ROW]
[C]14[/C][C]7.29[/C][C]6.71[/C][/ROW]
[C]15[/C][C]5.21[/C][C]4.79[/C][/ROW]
[C]16[/C][C]13.55[/C][C]12.45[/C][/ROW]
[C]17[/C][C]7.81[/C][C]7.19[/C][/ROW]
[C]18[/C][C]17.19[/C][C]15.81[/C][/ROW]
[C]19[/C][C]16.15[/C][C]14.85[/C][/ROW]
[C]20[/C][C]18.23[/C][C]16.77[/C][/ROW]
[C]21[/C][C]14.59[/C][C]13.41[/C][/ROW]
[C]22[/C][C]11.98[/C][C]11.02[/C][/ROW]
[C]23[/C][C]7.29[/C][C]6.71[/C][/ROW]
[C]24[/C][C]6.77[/C][C]6.23[/C][/ROW]
[C]25[/C][C]2.6[/C][C]2.4[/C][/ROW]
[C]26[/C][C]2.6[/C][C]2.4[/C][/ROW]
[C]27[/C][C]0.52[/C][C]0.48[/C][/ROW]
[C]28[/C][C]1.56[/C][C]1.44[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=280304&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=280304&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
I2 x B-S
01
61.040.96
71.561.44
82.081.92
91.561.44
101.040.96
112.081.92
122.62.4
133.653.35
147.296.71
155.214.79
1613.5512.45
177.817.19
1817.1915.81
1916.1514.85
2018.2316.77
2114.5913.41
2211.9811.02
237.296.71
246.776.23
252.62.4
262.62.4
270.520.48
281.561.44







Statistical Results
Pearson's Chi-squared test
22.57
Degrees of Freedom22
P value0.43

\begin{tabular}{lllllllll}
\hline
Statistical Results \tabularnewline
Pearson's Chi-squared test \tabularnewline
22.57 \tabularnewline
Degrees of Freedom & 22 \tabularnewline
P value & 0.43 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=280304&T=3

[TABLE]
[ROW][C]Statistical Results[/C][/ROW]
[ROW][C]Pearson's Chi-squared test[/C][/ROW]
[ROW][C]22.57[/C][/ROW]
[ROW][C]Degrees of Freedom[/C][C]22[/C][/ROW]
[ROW][C]P value[/C][C]0.43[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=280304&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=280304&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
22.57
Degrees of Freedom22
P value0.43



Parameters (Session):
par1 = 2 ; par2 = 1 ; par3 = TRUE ;
Parameters (R input):
par1 = 2 ; par2 = 1 ; par3 = TRUE ;
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')