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Description of Statistical Computation

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 computationSun, 21 Oct 2012 14:01:15 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Oct/21/t1350842489zjgicjwviwhwf1m.htm/, Retrieved Sun, 28 Apr 2024 19:49:30 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=181126, Retrieved Sun, 28 Apr 2024 19:49:30 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact59

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] [] [2012-10-21 18:01:15] [fec1d01507e8c19b843fb6b1ea3b7bfc] [Current]
- R  D    [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [] [2012-10-21 18:15:40] [8fb02a06fa197bf14378f27a41ead604]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
38	39
37	38
33	31
31	33
39	32
44	39
33	36
35	33
32	33
28	32
40	37
27	30
37	38
32	29
28	22
34	35
30	35
35	34
31	35
32	34
30	34
30	35
31	23
40	31
32	27
36	36
32	31
35	32
38	39
42	37
34	38
35	39
35	34
33	31
36	32
32	37
33	36
34	32
32	35
34	36

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 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 & 3 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=181126&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]3 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=181126&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=181126&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 time3 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net






Tabulation of Results
Connected x Seperated
2223272930313233343536373839
2700001000000000
2810000010000000
3000000000120000
3101000001010000
3200110101110100
3300000200002000
3400000010011010
3500000011200001
3600000010001000
3700000000000020
3800000000000002
3900000010000000
4000000100000100
4200000000000100
4400000000000001

\begin{tabular}{lllllllll}
\hline
Tabulation of Results \tabularnewline Connected x Seperated \tabularnewline & 22 & 23 & 27 & 29 & 30 & 31 & 32 & 33 & 34 & 35 & 36 & 37 & 38 & 39 \tabularnewline 27 & 0 & 0 & 0 & 0 & 1 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline 28 & 1 & 0 & 0 & 0 & 0 & 0 & 1 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline 30 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 2 & 0 & 0 & 0 & 0 \tabularnewline 31 & 0 & 1 & 0 & 0 & 0 & 0 & 0 & 1 & 0 & 1 & 0 & 0 & 0 & 0 \tabularnewline 32 & 0 & 0 & 1 & 1 & 0 & 1 & 0 & 1 & 1 & 1 & 0 & 1 & 0 & 0 \tabularnewline 33 & 0 & 0 & 0 & 0 & 0 & 2 & 0 & 0 & 0 & 0 & 2 & 0 & 0 & 0 \tabularnewline 34 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 0 & 0 & 1 & 1 & 0 & 1 & 0 \tabularnewline 35 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 1 & 2 & 0 & 0 & 0 & 0 & 1 \tabularnewline 36 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 0 & 0 & 0 & 1 & 0 & 0 & 0 \tabularnewline 37 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 2 & 0 \tabularnewline 38 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 2 \tabularnewline 39 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline 40 & 0 & 0 & 0 & 0 & 0 & 1 & 0 & 0 & 0 & 0 & 0 & 1 & 0 & 0 \tabularnewline 42 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 0 & 0 \tabularnewline 44 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 \tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=181126&T=1

[TABLE]
[ROW]
Tabulation of Results[/C][/ROW] [ROW]Connected x Seperated[/C][/ROW] [ROW][C] [/C][C]22[/C][C]23[/C][C]27[/C][C]29[/C][C]30[/C][C]31[/C][C]32[/C][C]33[/C][C]34[/C][C]35[/C][C]36[/C][C]37[/C][C]38[/C][C]39[/C][/ROW] [C]27[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][/ROW] [C]28[/C][C]1[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][/ROW] [C]30[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][C]2[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][/ROW] [C]31[/C][C]0[/C][C]1[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][C]0[/C][C]1[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][/ROW] [C]32[/C][C]0[/C][C]0[/C][C]1[/C][C]1[/C][C]0[/C][C]1[/C][C]0[/C][C]1[/C][C]1[/C][C]1[/C][C]0[/C][C]1[/C][C]0[/C][C]0[/C][/ROW] [C]33[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]2[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]2[/C][C]0[/C][C]0[/C][C]0[/C][/ROW] [C]34[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][C]0[/C][C]0[/C][C]1[/C][C]1[/C][C]0[/C][C]1[/C][C]0[/C][/ROW] [C]35[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][C]1[/C][C]2[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][/ROW] [C]36[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][C]0[/C][C]0[/C][C]0[/C][/ROW] [C]37[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]2[/C][C]0[/C][/ROW] [C]38[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]2[/C][/ROW] [C]39[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][/ROW] [C]40[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][C]0[/C][C]0[/C][/ROW] [C]42[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][C]0[/C][C]0[/C][/ROW] [C]44[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=181126&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=181126&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
Connected x Seperated
2223272930313233343536373839
2700001000000000
2810000010000000
3000000000120000
3101000001010000
3200110101110100
3300000200002000
3400000010011010
3500000011200001
3600000010001000
3700000000000020
3800000000000002
3900000010000000
4000000100000100
4200000000000100
4400000000000001






Tabulation of Expected Results
Connected x Seperated
2223272930313233343536373839
270.020.020.020.020.020.10.120.080.10.120.10.080.080.1
280.050.050.050.050.050.20.250.150.20.250.20.150.150.2
300.080.080.080.080.080.30.380.220.30.380.30.220.220.3
310.080.080.080.080.080.30.380.220.30.380.30.220.220.3
320.180.180.180.180.180.70.880.520.70.880.70.520.520.7
330.10.10.10.10.10.40.50.30.40.50.40.30.30.4
340.10.10.10.10.10.40.50.30.40.50.40.30.30.4
350.120.120.120.120.120.50.620.380.50.620.50.380.380.5
360.050.050.050.050.050.20.250.150.20.250.20.150.150.2
370.050.050.050.050.050.20.250.150.20.250.20.150.150.2
380.050.050.050.050.050.20.250.150.20.250.20.150.150.2
390.020.020.020.020.020.10.120.080.10.120.10.080.080.1
400.050.050.050.050.050.20.250.150.20.250.20.150.150.2
420.020.020.020.020.020.10.120.080.10.120.10.080.080.1
440.020.020.020.020.020.10.120.080.10.120.10.080.080.1

\begin{tabular}{lllllllll}
\hline
Tabulation of Expected Results \tabularnewline Connected x Seperated \tabularnewline & 22 & 23 & 27 & 29 & 30 & 31 & 32 & 33 & 34 & 35 & 36 & 37 & 38 & 39 \tabularnewline 27 & 0.02 & 0.02 & 0.02 & 0.02 & 0.02 & 0.1 & 0.12 & 0.08 & 0.1 & 0.12 & 0.1 & 0.08 & 0.08 & 0.1 \tabularnewline 28 & 0.05 & 0.05 & 0.05 & 0.05 & 0.05 & 0.2 & 0.25 & 0.15 & 0.2 & 0.25 & 0.2 & 0.15 & 0.15 & 0.2 \tabularnewline 30 & 0.08 & 0.08 & 0.08 & 0.08 & 0.08 & 0.3 & 0.38 & 0.22 & 0.3 & 0.38 & 0.3 & 0.22 & 0.22 & 0.3 \tabularnewline 31 & 0.08 & 0.08 & 0.08 & 0.08 & 0.08 & 0.3 & 0.38 & 0.22 & 0.3 & 0.38 & 0.3 & 0.22 & 0.22 & 0.3 \tabularnewline 32 & 0.18 & 0.18 & 0.18 & 0.18 & 0.18 & 0.7 & 0.88 & 0.52 & 0.7 & 0.88 & 0.7 & 0.52 & 0.52 & 0.7 \tabularnewline 33 & 0.1 & 0.1 & 0.1 & 0.1 & 0.1 & 0.4 & 0.5 & 0.3 & 0.4 & 0.5 & 0.4 & 0.3 & 0.3 & 0.4 \tabularnewline 34 & 0.1 & 0.1 & 0.1 & 0.1 & 0.1 & 0.4 & 0.5 & 0.3 & 0.4 & 0.5 & 0.4 & 0.3 & 0.3 & 0.4 \tabularnewline 35 & 0.12 & 0.12 & 0.12 & 0.12 & 0.12 & 0.5 & 0.62 & 0.38 & 0.5 & 0.62 & 0.5 & 0.38 & 0.38 & 0.5 \tabularnewline 36 & 0.05 & 0.05 & 0.05 & 0.05 & 0.05 & 0.2 & 0.25 & 0.15 & 0.2 & 0.25 & 0.2 & 0.15 & 0.15 & 0.2 \tabularnewline 37 & 0.05 & 0.05 & 0.05 & 0.05 & 0.05 & 0.2 & 0.25 & 0.15 & 0.2 & 0.25 & 0.2 & 0.15 & 0.15 & 0.2 \tabularnewline 38 & 0.05 & 0.05 & 0.05 & 0.05 & 0.05 & 0.2 & 0.25 & 0.15 & 0.2 & 0.25 & 0.2 & 0.15 & 0.15 & 0.2 \tabularnewline 39 & 0.02 & 0.02 & 0.02 & 0.02 & 0.02 & 0.1 & 0.12 & 0.08 & 0.1 & 0.12 & 0.1 & 0.08 & 0.08 & 0.1 \tabularnewline 40 & 0.05 & 0.05 & 0.05 & 0.05 & 0.05 & 0.2 & 0.25 & 0.15 & 0.2 & 0.25 & 0.2 & 0.15 & 0.15 & 0.2 \tabularnewline 42 & 0.02 & 0.02 & 0.02 & 0.02 & 0.02 & 0.1 & 0.12 & 0.08 & 0.1 & 0.12 & 0.1 & 0.08 & 0.08 & 0.1 \tabularnewline 44 & 0.02 & 0.02 & 0.02 & 0.02 & 0.02 & 0.1 & 0.12 & 0.08 & 0.1 & 0.12 & 0.1 & 0.08 & 0.08 & 0.1 \tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=181126&T=2

[TABLE]
[ROW]
Tabulation of Expected Results[/C][/ROW] [ROW]Connected x Seperated[/C][/ROW] [ROW][C] [/C][C]22[/C][C]23[/C][C]27[/C][C]29[/C][C]30[/C][C]31[/C][C]32[/C][C]33[/C][C]34[/C][C]35[/C][C]36[/C][C]37[/C][C]38[/C][C]39[/C][/ROW] [C]27[/C][C]0.02[/C][C]0.02[/C][C]0.02[/C][C]0.02[/C][C]0.02[/C][C]0.1[/C][C]0.12[/C][C]0.08[/C][C]0.1[/C][C]0.12[/C][C]0.1[/C][C]0.08[/C][C]0.08[/C][C]0.1[/C][/ROW] [C]28[/C][C]0.05[/C][C]0.05[/C][C]0.05[/C][C]0.05[/C][C]0.05[/C][C]0.2[/C][C]0.25[/C][C]0.15[/C][C]0.2[/C][C]0.25[/C][C]0.2[/C][C]0.15[/C][C]0.15[/C][C]0.2[/C][/ROW] [C]30[/C][C]0.08[/C][C]0.08[/C][C]0.08[/C][C]0.08[/C][C]0.08[/C][C]0.3[/C][C]0.38[/C][C]0.22[/C][C]0.3[/C][C]0.38[/C][C]0.3[/C][C]0.22[/C][C]0.22[/C][C]0.3[/C][/ROW] [C]31[/C][C]0.08[/C][C]0.08[/C][C]0.08[/C][C]0.08[/C][C]0.08[/C][C]0.3[/C][C]0.38[/C][C]0.22[/C][C]0.3[/C][C]0.38[/C][C]0.3[/C][C]0.22[/C][C]0.22[/C][C]0.3[/C][/ROW] [C]32[/C][C]0.18[/C][C]0.18[/C][C]0.18[/C][C]0.18[/C][C]0.18[/C][C]0.7[/C][C]0.88[/C][C]0.52[/C][C]0.7[/C][C]0.88[/C][C]0.7[/C][C]0.52[/C][C]0.52[/C][C]0.7[/C][/ROW] [C]33[/C][C]0.1[/C][C]0.1[/C][C]0.1[/C][C]0.1[/C][C]0.1[/C][C]0.4[/C][C]0.5[/C][C]0.3[/C][C]0.4[/C][C]0.5[/C][C]0.4[/C][C]0.3[/C][C]0.3[/C][C]0.4[/C][/ROW] [C]34[/C][C]0.1[/C][C]0.1[/C][C]0.1[/C][C]0.1[/C][C]0.1[/C][C]0.4[/C][C]0.5[/C][C]0.3[/C][C]0.4[/C][C]0.5[/C][C]0.4[/C][C]0.3[/C][C]0.3[/C][C]0.4[/C][/ROW] [C]35[/C][C]0.12[/C][C]0.12[/C][C]0.12[/C][C]0.12[/C][C]0.12[/C][C]0.5[/C][C]0.62[/C][C]0.38[/C][C]0.5[/C][C]0.62[/C][C]0.5[/C][C]0.38[/C][C]0.38[/C][C]0.5[/C][/ROW] [C]36[/C][C]0.05[/C][C]0.05[/C][C]0.05[/C][C]0.05[/C][C]0.05[/C][C]0.2[/C][C]0.25[/C][C]0.15[/C][C]0.2[/C][C]0.25[/C][C]0.2[/C][C]0.15[/C][C]0.15[/C][C]0.2[/C][/ROW] [C]37[/C][C]0.05[/C][C]0.05[/C][C]0.05[/C][C]0.05[/C][C]0.05[/C][C]0.2[/C][C]0.25[/C][C]0.15[/C][C]0.2[/C][C]0.25[/C][C]0.2[/C][C]0.15[/C][C]0.15[/C][C]0.2[/C][/ROW] [C]38[/C][C]0.05[/C][C]0.05[/C][C]0.05[/C][C]0.05[/C][C]0.05[/C][C]0.2[/C][C]0.25[/C][C]0.15[/C][C]0.2[/C][C]0.25[/C][C]0.2[/C][C]0.15[/C][C]0.15[/C][C]0.2[/C][/ROW] [C]39[/C][C]0.02[/C][C]0.02[/C][C]0.02[/C][C]0.02[/C][C]0.02[/C][C]0.1[/C][C]0.12[/C][C]0.08[/C][C]0.1[/C][C]0.12[/C][C]0.1[/C][C]0.08[/C][C]0.08[/C][C]0.1[/C][/ROW] [C]40[/C][C]0.05[/C][C]0.05[/C][C]0.05[/C][C]0.05[/C][C]0.05[/C][C]0.2[/C][C]0.25[/C][C]0.15[/C][C]0.2[/C][C]0.25[/C][C]0.2[/C][C]0.15[/C][C]0.15[/C][C]0.2[/C][/ROW] [C]42[/C][C]0.02[/C][C]0.02[/C][C]0.02[/C][C]0.02[/C][C]0.02[/C][C]0.1[/C][C]0.12[/C][C]0.08[/C][C]0.1[/C][C]0.12[/C][C]0.1[/C][C]0.08[/C][C]0.08[/C][C]0.1[/C][/ROW] [C]44[/C][C]0.02[/C][C]0.02[/C][C]0.02[/C][C]0.02[/C][C]0.02[/C][C]0.1[/C][C]0.12[/C][C]0.08[/C][C]0.1[/C][C]0.12[/C][C]0.1[/C][C]0.08[/C][C]0.08[/C][C]0.1[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=181126&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=181126&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
Connected x Seperated
2223272930313233343536373839
270.020.020.020.020.020.10.120.080.10.120.10.080.080.1
280.050.050.050.050.050.20.250.150.20.250.20.150.150.2
300.080.080.080.080.080.30.380.220.30.380.30.220.220.3
310.080.080.080.080.080.30.380.220.30.380.30.220.220.3
320.180.180.180.180.180.70.880.520.70.880.70.520.520.7
330.10.10.10.10.10.40.50.30.40.50.40.30.30.4
340.10.10.10.10.10.40.50.30.40.50.40.30.30.4
350.120.120.120.120.120.50.620.380.50.620.50.380.380.5
360.050.050.050.050.050.20.250.150.20.250.20.150.150.2
370.050.050.050.050.050.20.250.150.20.250.20.150.150.2
380.050.050.050.050.050.20.250.150.20.250.20.150.150.2
390.020.020.020.020.020.10.120.080.10.120.10.080.080.1
400.050.050.050.050.050.20.250.150.20.250.20.150.150.2
420.020.020.020.020.020.10.120.080.10.120.10.080.080.1
440.020.020.020.020.020.10.120.080.10.120.10.080.080.1






Statistical Results
Pearson's Chi-squared test with simulated p-value (based on 2000 replicates)
Exact Pearson Chi Square Statistic220.45
P value0.04

\begin{tabular}{lllllllll}
\hline
Statistical Results \tabularnewline
Pearson's Chi-squared test with simulated p-value
	 (based on 2000 replicates) \tabularnewline
Exact Pearson Chi Square Statistic & 220.45 \tabularnewline
P value & 0.04 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=181126&T=3

[TABLE]
[ROW][C]Statistical Results[/C][/ROW]
[ROW][C]Pearson's Chi-squared test with simulated p-value
	 (based on 2000 replicates)[/C][/ROW]
[ROW][C]Exact Pearson Chi Square Statistic[/C][C]220.45[/C][/ROW]
[ROW][C]P value[/C][C]0.04[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=181126&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=181126&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 with simulated p-value (based on 2000 replicates)
Exact Pearson Chi Square Statistic220.45
P value0.04


Figures (Output of Computation)

Input Parameters & R Code

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