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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 computationTue, 13 Jan 2015 14:11:53 +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/13/t1421158408xe2dw46uuqhjqd4.htm/, Retrieved Wed, 15 May 2024 11:38:17 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=272154, Retrieved Wed, 15 May 2024 11:38:17 +0000
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User-defined keywords
Estimated Impact77
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-       [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [] [2015-01-13 14:11:53] [e79587a2f7d916aa28f5acf88bd2ac9e] [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 time2 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net
R Framework error message
Warning: there are blank lines in the 'Data X' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.

\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
R Framework error message & 
Warning: there are blank lines in the 'Data X' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.
\tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=272154&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]
[ROW][C]R Framework error message[/C][C]
Warning: there are blank lines in the 'Data X' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.
[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=272154&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=272154&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
R Framework error message
Warning: there are blank lines in the 'Data X' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.







Tabulation of Results
NUMERACYTOT x group
01
010
210
302
412
701
830
901
1031
1111
1222
1321
1411
1565
16213
1784
18119
19920
201613
2198
22149
231122
24810
25810
2651
2753
2832
2931
3030

\begin{tabular}{lllllllll}
\hline
Tabulation of Results \tabularnewline
NUMERACYTOT  x  group \tabularnewline
  & 0 & 1 \tabularnewline
0 & 1 & 0 \tabularnewline
2 & 1 & 0 \tabularnewline
3 & 0 & 2 \tabularnewline
4 & 1 & 2 \tabularnewline
7 & 0 & 1 \tabularnewline
8 & 3 & 0 \tabularnewline
9 & 0 & 1 \tabularnewline
10 & 3 & 1 \tabularnewline
11 & 1 & 1 \tabularnewline
12 & 2 & 2 \tabularnewline
13 & 2 & 1 \tabularnewline
14 & 1 & 1 \tabularnewline
15 & 6 & 5 \tabularnewline
16 & 2 & 13 \tabularnewline
17 & 8 & 4 \tabularnewline
18 & 11 & 9 \tabularnewline
19 & 9 & 20 \tabularnewline
20 & 16 & 13 \tabularnewline
21 & 9 & 8 \tabularnewline
22 & 14 & 9 \tabularnewline
23 & 11 & 22 \tabularnewline
24 & 8 & 10 \tabularnewline
25 & 8 & 10 \tabularnewline
26 & 5 & 1 \tabularnewline
27 & 5 & 3 \tabularnewline
28 & 3 & 2 \tabularnewline
29 & 3 & 1 \tabularnewline
30 & 3 & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=272154&T=1

[TABLE]
[ROW][C]Tabulation of Results[/C][/ROW]
[ROW][C]NUMERACYTOT  x  group[/C][/ROW]
[ROW][C] [/C][C]0[/C][C]1[/C][/ROW]
[C]0[/C][C]1[/C][C]0[/C][/ROW]
[C]2[/C][C]1[/C][C]0[/C][/ROW]
[C]3[/C][C]0[/C][C]2[/C][/ROW]
[C]4[/C][C]1[/C][C]2[/C][/ROW]
[C]7[/C][C]0[/C][C]1[/C][/ROW]
[C]8[/C][C]3[/C][C]0[/C][/ROW]
[C]9[/C][C]0[/C][C]1[/C][/ROW]
[C]10[/C][C]3[/C][C]1[/C][/ROW]
[C]11[/C][C]1[/C][C]1[/C][/ROW]
[C]12[/C][C]2[/C][C]2[/C][/ROW]
[C]13[/C][C]2[/C][C]1[/C][/ROW]
[C]14[/C][C]1[/C][C]1[/C][/ROW]
[C]15[/C][C]6[/C][C]5[/C][/ROW]
[C]16[/C][C]2[/C][C]13[/C][/ROW]
[C]17[/C][C]8[/C][C]4[/C][/ROW]
[C]18[/C][C]11[/C][C]9[/C][/ROW]
[C]19[/C][C]9[/C][C]20[/C][/ROW]
[C]20[/C][C]16[/C][C]13[/C][/ROW]
[C]21[/C][C]9[/C][C]8[/C][/ROW]
[C]22[/C][C]14[/C][C]9[/C][/ROW]
[C]23[/C][C]11[/C][C]22[/C][/ROW]
[C]24[/C][C]8[/C][C]10[/C][/ROW]
[C]25[/C][C]8[/C][C]10[/C][/ROW]
[C]26[/C][C]5[/C][C]1[/C][/ROW]
[C]27[/C][C]5[/C][C]3[/C][/ROW]
[C]28[/C][C]3[/C][C]2[/C][/ROW]
[C]29[/C][C]3[/C][C]1[/C][/ROW]
[C]30[/C][C]3[/C][C]0[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=272154&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=272154&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
NUMERACYTOT x group
01
010
210
302
412
701
830
901
1031
1111
1222
1321
1411
1565
16213
1784
18119
19920
201613
2198
22149
231122
24810
25810
2651
2753
2832
2931
3030







Tabulation of Expected Results
NUMERACYTOT x group
01
00.490.51
20.490.51
30.981.02
41.471.53
70.490.51
81.471.53
90.490.51
101.962.04
110.981.02
121.962.04
131.471.53
140.981.02
155.385.62
167.347.66
175.876.13
189.7810.22
1914.1914.81
2014.1914.81
218.328.68
2211.2511.75
2316.1416.86
248.819.19
258.819.19
262.943.06
273.914.09
282.452.55
291.962.04
301.471.53

\begin{tabular}{lllllllll}
\hline
Tabulation of Expected Results \tabularnewline
NUMERACYTOT  x  group \tabularnewline
  & 0 & 1 \tabularnewline
0 & 0.49 & 0.51 \tabularnewline
2 & 0.49 & 0.51 \tabularnewline
3 & 0.98 & 1.02 \tabularnewline
4 & 1.47 & 1.53 \tabularnewline
7 & 0.49 & 0.51 \tabularnewline
8 & 1.47 & 1.53 \tabularnewline
9 & 0.49 & 0.51 \tabularnewline
10 & 1.96 & 2.04 \tabularnewline
11 & 0.98 & 1.02 \tabularnewline
12 & 1.96 & 2.04 \tabularnewline
13 & 1.47 & 1.53 \tabularnewline
14 & 0.98 & 1.02 \tabularnewline
15 & 5.38 & 5.62 \tabularnewline
16 & 7.34 & 7.66 \tabularnewline
17 & 5.87 & 6.13 \tabularnewline
18 & 9.78 & 10.22 \tabularnewline
19 & 14.19 & 14.81 \tabularnewline
20 & 14.19 & 14.81 \tabularnewline
21 & 8.32 & 8.68 \tabularnewline
22 & 11.25 & 11.75 \tabularnewline
23 & 16.14 & 16.86 \tabularnewline
24 & 8.81 & 9.19 \tabularnewline
25 & 8.81 & 9.19 \tabularnewline
26 & 2.94 & 3.06 \tabularnewline
27 & 3.91 & 4.09 \tabularnewline
28 & 2.45 & 2.55 \tabularnewline
29 & 1.96 & 2.04 \tabularnewline
30 & 1.47 & 1.53 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=272154&T=2

[TABLE]
[ROW][C]Tabulation of Expected Results[/C][/ROW]
[ROW][C]NUMERACYTOT  x  group[/C][/ROW]
[ROW][C] [/C][C]0[/C][C]1[/C][/ROW]
[C]0[/C][C]0.49[/C][C]0.51[/C][/ROW]
[C]2[/C][C]0.49[/C][C]0.51[/C][/ROW]
[C]3[/C][C]0.98[/C][C]1.02[/C][/ROW]
[C]4[/C][C]1.47[/C][C]1.53[/C][/ROW]
[C]7[/C][C]0.49[/C][C]0.51[/C][/ROW]
[C]8[/C][C]1.47[/C][C]1.53[/C][/ROW]
[C]9[/C][C]0.49[/C][C]0.51[/C][/ROW]
[C]10[/C][C]1.96[/C][C]2.04[/C][/ROW]
[C]11[/C][C]0.98[/C][C]1.02[/C][/ROW]
[C]12[/C][C]1.96[/C][C]2.04[/C][/ROW]
[C]13[/C][C]1.47[/C][C]1.53[/C][/ROW]
[C]14[/C][C]0.98[/C][C]1.02[/C][/ROW]
[C]15[/C][C]5.38[/C][C]5.62[/C][/ROW]
[C]16[/C][C]7.34[/C][C]7.66[/C][/ROW]
[C]17[/C][C]5.87[/C][C]6.13[/C][/ROW]
[C]18[/C][C]9.78[/C][C]10.22[/C][/ROW]
[C]19[/C][C]14.19[/C][C]14.81[/C][/ROW]
[C]20[/C][C]14.19[/C][C]14.81[/C][/ROW]
[C]21[/C][C]8.32[/C][C]8.68[/C][/ROW]
[C]22[/C][C]11.25[/C][C]11.75[/C][/ROW]
[C]23[/C][C]16.14[/C][C]16.86[/C][/ROW]
[C]24[/C][C]8.81[/C][C]9.19[/C][/ROW]
[C]25[/C][C]8.81[/C][C]9.19[/C][/ROW]
[C]26[/C][C]2.94[/C][C]3.06[/C][/ROW]
[C]27[/C][C]3.91[/C][C]4.09[/C][/ROW]
[C]28[/C][C]2.45[/C][C]2.55[/C][/ROW]
[C]29[/C][C]1.96[/C][C]2.04[/C][/ROW]
[C]30[/C][C]1.47[/C][C]1.53[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=272154&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=272154&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
NUMERACYTOT x group
01
00.490.51
20.490.51
30.981.02
41.471.53
70.490.51
81.471.53
90.490.51
101.962.04
110.981.02
121.962.04
131.471.53
140.981.02
155.385.62
167.347.66
175.876.13
189.7810.22
1914.1914.81
2014.1914.81
218.328.68
2211.2511.75
2316.1416.86
248.819.19
258.819.19
262.943.06
273.914.09
282.452.55
291.962.04
301.471.53







Statistical Results
Pearson's Chi-squared test
Pearson Chi Square Statistic37.35
Degrees of Freedom27
P value0.09

\begin{tabular}{lllllllll}
\hline
Statistical Results \tabularnewline
Pearson's Chi-squared test \tabularnewline
Pearson Chi Square Statistic & 37.35 \tabularnewline
Degrees of Freedom & 27 \tabularnewline
P value & 0.09 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=272154&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]37.35[/C][/ROW]
[ROW][C]Degrees of Freedom[/C][C]27[/C][/ROW]
[ROW][C]P value[/C][C]0.09[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=272154&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=272154&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 Statistic37.35
Degrees of Freedom27
P value0.09



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')