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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Module--
Title produced by softwareChi-Squared Test, McNemar Test, and Fisher Exact Test
Date of computationSat, 22 Aug 2015 22:05:20 +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/t1440277529dr9ktlpkqb0sbpl.htm/, Retrieved Thu, 16 May 2024 20:06:28 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=280303, Retrieved Thu, 16 May 2024 20:06:28 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact183

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] [hi i2] [2015-08-19 11:04:54] [5b73c907efdd91cd8d467e65f28ae5f1]
-    D  [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [] [2015-08-19 12:11:02] [5b73c907efdd91cd8d467e65f28ae5f1]
- RM        [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [] [2015-08-22 21:05:20] [8145b3fe416df466b077d26de89041cd] [Current]
- RMP         [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [] [2015-08-25 15:46:55] [c3af58d916586065e82a9492c7f087b1]
- RMPD        [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [] [2015-08-25 15:53:51] [c3af58d916586065e82a9492c7f087b1]
- RMPD        [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [] [2015-08-25 15:56:49] [c3af58d916586065e82a9492c7f087b1]
- RMPD        [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [] [2015-08-25 15:58:23] [c3af58d916586065e82a9492c7f087b1]
- RMPD        [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [] [2015-08-25 16:00:03] [c3af58d916586065e82a9492c7f087b1]
- RMPD        [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [] [2015-08-25 16:00:58] [c3af58d916586065e82a9492c7f087b1]
- R             [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [] [2015-08-25 16:01:26] [c3af58d916586065e82a9492c7f087b1]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
0	11
0	15
0	19
0	16
0	24
0	15
0	17
0	19
0	19
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0	16
0	24
0	25
1	22
0	15
0	21
1	22
0	27
0	26
0	26
0	22
0	21
0	22
0	20
1	21
1	20
0	22
0	21
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0	22
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0	20
0	23
1	20
0	22
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0	15
0	20
0	22
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1	14
0	24
0	17
1	23
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1	16
1	18
1	20
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1	23
0	24
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1	20
1	19
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1	16
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1	20
1	23
0	15
0	18
0	16
1	17
0	24
1	13
0	19
1	20
1	22
1	19
1	21
1	15
1	21
1	24
1	22
1	20
1	21
1	19
1	14
1	25
1	11
1	17
1	22
1	20
1	22
1	15
1	23
1	20
1	22
1	16
1	25
1	18
1	19
1	25
1	21
1	22
1	21
1	22
1	23
0	20
0	6
0	15
0	18
1	24
1	22
0	21
0	23
0	20
0	20
0	18
0	25
0	16
0	20
0	14
0	22
1	26
0	20
0	17
0	22
0	22
0	20
0	17
0	22
0	17
0	22
0	21
0	25
1	11
0	19
0	24
0	17
0	22
0	22
0	17
0	26
0	19
0	20
0	19
0	21
0	24
0	21
0	19
0	13
1	24
1	28
0	27
0	22
1	23
1	19
1	18
1	23
0	21
0	22
1	17
1	15
1	21
1	20
1	26
1	19
1	28
1	21
1	19
0	22
0	21
1	20
0	19
0	11
1	17
0	19
1	20
1	17
0	21
1	21
1	12
1	23
1	22
1	22
1	21
1	20
1	18
1	21
1	24
1	22
1	20
1	17
0	19
1	16
1	19
1	23
0	8
1	22
0	23
1	15
0	17
1	21
0	25
1	18
1	23
1	20
1	21
1	21
0	24
0	22
1	22
0	23
0	17
1	15
0	24
0	22
1	19
1	18
0	21
1	20
0	19
0	19
0	16
1	18
0	23
1	22
0	23
0	20
0	24
0	25
1	25
0	20
0	23
0	21
1	23
0	23
0	11
1	21
0	27
1	19
1	21
1	16
0	22
1	21
1	22
0	16
0	18
0	23
0	24
0	20
0	20
1	18
1	4
0	14
1	22
1	17
0	23
1	20
1	18
1	19
1	20
1	15
1	24
1	21
1	19
1	19
1	27
1	23
1	23
1	20
1	17
1	21
1	23
1	22
0	16
1	20
1	16

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gertrude Mary Cox' @ cox.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 & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=280303&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=280303&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=280303&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 time1 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net






Tabulation of Results
I1 x B-S
01
401
610
820
1132
1201
1312
1422
1586
1676
17128
1869
191513
201721
211519
222219
231114
24125
2564
2652
2731
2812

\begin{tabular}{lllllllll}
\hline
Tabulation of Results \tabularnewline
I1  x  B-S \tabularnewline
  & 0 & 1 \tabularnewline
4 & 0 & 1 \tabularnewline
6 & 1 & 0 \tabularnewline
8 & 2 & 0 \tabularnewline
11 & 3 & 2 \tabularnewline
12 & 0 & 1 \tabularnewline
13 & 1 & 2 \tabularnewline
14 & 2 & 2 \tabularnewline
15 & 8 & 6 \tabularnewline
16 & 7 & 6 \tabularnewline
17 & 12 & 8 \tabularnewline
18 & 6 & 9 \tabularnewline
19 & 15 & 13 \tabularnewline
20 & 17 & 21 \tabularnewline
21 & 15 & 19 \tabularnewline
22 & 22 & 19 \tabularnewline
23 & 11 & 14 \tabularnewline
24 & 12 & 5 \tabularnewline
25 & 6 & 4 \tabularnewline
26 & 5 & 2 \tabularnewline
27 & 3 & 1 \tabularnewline
28 & 1 & 2 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=280303&T=1

[TABLE]
[ROW][C]Tabulation of Results[/C][/ROW]
[ROW][C]I1  x  B-S[/C][/ROW]
[ROW][C] [/C][C]0[/C][C]1[/C][/ROW]
[C]4[/C][C]0[/C][C]1[/C][/ROW]
[C]6[/C][C]1[/C][C]0[/C][/ROW]
[C]8[/C][C]2[/C][C]0[/C][/ROW]
[C]11[/C][C]3[/C][C]2[/C][/ROW]
[C]12[/C][C]0[/C][C]1[/C][/ROW]
[C]13[/C][C]1[/C][C]2[/C][/ROW]
[C]14[/C][C]2[/C][C]2[/C][/ROW]
[C]15[/C][C]8[/C][C]6[/C][/ROW]
[C]16[/C][C]7[/C][C]6[/C][/ROW]
[C]17[/C][C]12[/C][C]8[/C][/ROW]
[C]18[/C][C]6[/C][C]9[/C][/ROW]
[C]19[/C][C]15[/C][C]13[/C][/ROW]
[C]20[/C][C]17[/C][C]21[/C][/ROW]
[C]21[/C][C]15[/C][C]19[/C][/ROW]
[C]22[/C][C]22[/C][C]19[/C][/ROW]
[C]23[/C][C]11[/C][C]14[/C][/ROW]
[C]24[/C][C]12[/C][C]5[/C][/ROW]
[C]25[/C][C]6[/C][C]4[/C][/ROW]
[C]26[/C][C]5[/C][C]2[/C][/ROW]
[C]27[/C][C]3[/C][C]1[/C][/ROW]
[C]28[/C][C]1[/C][C]2[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=280303&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=280303&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
I1 x B-S
01
401
610
820
1132
1201
1312
1422
1586
1676
17128
1869
191513
201721
211519
222219
231114
24125
2564
2652
2731
2812






Tabulation of Expected Results
I1 x B-S
01
40.520.48
60.520.48
81.040.96
112.62.4
120.520.48
131.561.44
142.081.92
157.296.71
166.776.23
1710.429.58
187.817.19
1914.5913.41
2019.818.2
2117.7116.29
2221.3619.64
2313.0211.98
248.868.14
255.214.79
263.653.35
272.081.92
281.561.44

\begin{tabular}{lllllllll}
\hline
Tabulation of Expected Results \tabularnewline
I1  x  B-S \tabularnewline
  & 0 & 1 \tabularnewline
4 & 0.52 & 0.48 \tabularnewline
6 & 0.52 & 0.48 \tabularnewline
8 & 1.04 & 0.96 \tabularnewline
11 & 2.6 & 2.4 \tabularnewline
12 & 0.52 & 0.48 \tabularnewline
13 & 1.56 & 1.44 \tabularnewline
14 & 2.08 & 1.92 \tabularnewline
15 & 7.29 & 6.71 \tabularnewline
16 & 6.77 & 6.23 \tabularnewline
17 & 10.42 & 9.58 \tabularnewline
18 & 7.81 & 7.19 \tabularnewline
19 & 14.59 & 13.41 \tabularnewline
20 & 19.8 & 18.2 \tabularnewline
21 & 17.71 & 16.29 \tabularnewline
22 & 21.36 & 19.64 \tabularnewline
23 & 13.02 & 11.98 \tabularnewline
24 & 8.86 & 8.14 \tabularnewline
25 & 5.21 & 4.79 \tabularnewline
26 & 3.65 & 3.35 \tabularnewline
27 & 2.08 & 1.92 \tabularnewline
28 & 1.56 & 1.44 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=280303&T=2

[TABLE]
[ROW][C]Tabulation of Expected Results[/C][/ROW]
[ROW][C]I1  x  B-S[/C][/ROW]
[ROW][C] [/C][C]0[/C][C]1[/C][/ROW]
[C]4[/C][C]0.52[/C][C]0.48[/C][/ROW]
[C]6[/C][C]0.52[/C][C]0.48[/C][/ROW]
[C]8[/C][C]1.04[/C][C]0.96[/C][/ROW]
[C]11[/C][C]2.6[/C][C]2.4[/C][/ROW]
[C]12[/C][C]0.52[/C][C]0.48[/C][/ROW]
[C]13[/C][C]1.56[/C][C]1.44[/C][/ROW]
[C]14[/C][C]2.08[/C][C]1.92[/C][/ROW]
[C]15[/C][C]7.29[/C][C]6.71[/C][/ROW]
[C]16[/C][C]6.77[/C][C]6.23[/C][/ROW]
[C]17[/C][C]10.42[/C][C]9.58[/C][/ROW]
[C]18[/C][C]7.81[/C][C]7.19[/C][/ROW]
[C]19[/C][C]14.59[/C][C]13.41[/C][/ROW]
[C]20[/C][C]19.8[/C][C]18.2[/C][/ROW]
[C]21[/C][C]17.71[/C][C]16.29[/C][/ROW]
[C]22[/C][C]21.36[/C][C]19.64[/C][/ROW]
[C]23[/C][C]13.02[/C][C]11.98[/C][/ROW]
[C]24[/C][C]8.86[/C][C]8.14[/C][/ROW]
[C]25[/C][C]5.21[/C][C]4.79[/C][/ROW]
[C]26[/C][C]3.65[/C][C]3.35[/C][/ROW]
[C]27[/C][C]2.08[/C][C]1.92[/C][/ROW]
[C]28[/C][C]1.56[/C][C]1.44[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=280303&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=280303&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
I1 x B-S
01
40.520.48
60.520.48
81.040.96
112.62.4
120.520.48
131.561.44
142.081.92
157.296.71
166.776.23
1710.429.58
187.817.19
1914.5913.41
2019.818.2
2117.7116.29
2221.3619.64
2313.0211.98
248.868.14
255.214.79
263.653.35
272.081.92
281.561.44






Statistical Results
Pearson's Chi-squared test
14.33
Degrees of Freedom20
P value0.81

\begin{tabular}{lllllllll}
\hline
Statistical Results \tabularnewline
Pearson's Chi-squared test \tabularnewline
14.33 \tabularnewline
Degrees of Freedom & 20 \tabularnewline
P value & 0.81 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=280303&T=3

[TABLE]
[ROW][C]Statistical Results[/C][/ROW]
[ROW][C]Pearson's Chi-squared test[/C][/ROW]
[ROW][C]14.33[/C][/ROW]
[ROW][C]Degrees of Freedom[/C][C]20[/C][/ROW]
[ROW][C]P value[/C][C]0.81[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=280303&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=280303&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
14.33
Degrees of Freedom20
P value0.81


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 2 ; par2 = 1 ; par3 = TRUE ;
Parameters (R input):
par1 = 2 ; par2 = 1 ; par3 = TRUE ; par4 = ; par5 = ; par6 = ; par7 = ; par8 = ; par9 = ; par10 = ; par11 = ; par12 = ; par13 = ; par14 = ; par15 = ; par16 = ; par17 = ; par18 = ; par19 = ; par20 = ;
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')