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 computationSun, 14 Dec 2014 11:56:55 +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/14/t141855829368pq6kbnt853gf1.htm/, Retrieved Thu, 31 Oct 2024 23:11:48 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=267473, Retrieved Thu, 31 Oct 2024 23:11:48 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact131
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] [] [2014-12-14 11:56:55] [6baf0af87d9d8aa2cb91b54f39a0a5b0] [Current]
Feedback Forum

Post a new message
Dataseries X:
26 50 0 21 13 12 13 13 21
57 62 1 22 8 8 13 16 22
37 54 0 21 14 11 11 11 22
67 71 1 21 16 13 14 10 18
43 54 1 21 14 11 15 9 23
52 65 1 21 13 10 14 8 12
52 73 0 21 15 7 11 26 20
43 52 1 23 13 10 13 10 22
84 84 1 22 20 15 16 10 21
67 42 1 25 17 12 14 8 19
49 66 1 21 15 12 14 13 22
70 65 1 23 16 10 15 11 15
52 78 1 22 12 10 15 8 20
58 73 0 21 17 14 13 12 19
68 75 0 21 11 6 14 24 18
62 72 0 25 16 12 11 21 15
43 66 1 21 16 14 12 5 20
56 70 0 21 15 11 14 14 21
56 61 1 20 13 8 13 11 21
74 81 0 24 14 12 12 9 15
65 71 1 23 19 15 15 8 16
63 69 1 21 16 13 15 17 23
58 71 0 24 17 11 14 18 21
57 72 1 23 10 12 14 16 18
63 68 1 21 15 7 12 23 25
53 70 1 22 14 11 12 9 9
57 68 1 20 14 7 12 14 30
51 61 0 18 16 12 15 13 20
64 67 1 21 15 12 14 10 23
53 76 0 22 17 13 16 8 16
29 70 0 22 14 9 12 10 16
54 60 0 21 16 11 12 19 19
58 72 1 21 15 12 14 11 25
43 69 1 25 16 15 16 16 18
51 71 1 22 16 12 15 12 23
53 62 1 22 10 6 12 11 21
54 70 0 20 8 5 14 11 10
56 64 1 21 17 13 13 10 14
61 58 1 21 14 11 14 13 22
47 76 0 21 10 6 16 14 26
39 52 1 22 14 12 12 8 23
48 59 1 21 12 10 14 11 23
50 68 1 24 16 6 15 11 24
35 76 1 22 16 12 13 13 24
30 65 1 22 16 11 16 15 18
68 67 0 21 8 6 16 15 23
49 59 1 22 16 12 12 16 15
61 69 1 19 15 12 12 12 19
67 76 0 22 8 8 16 12 16
47 63 1 23 13 10 12 17 25
56 75 1 20 14 11 15 14 23
50 63 1 20 13 7 12 15 17
43 60 1 23 16 12 13 12 19
67 73 1 20 19 13 12 13 21
62 63 1 23 19 14 14 7 18
57 70 1 21 14 12 14 8 27
41 75 0 22 15 6 11 16 21
54 66 1 21 13 14 10 20 13
45 63 0 21 10 10 12 14 8
48 63 1 19 16 12 11 10 29
61 64 1 22 15 11 16 16 28
56 70 0 21 11 10 14 11 23
41 75 0 21 9 7 14 26 21
43 61 1 21 16 12 15 9 19
53 60 0 21 12 7 15 15 19
44 62 1 21 12 12 14 12 20
66 73 0 21 14 12 13 21 18
58 61 1 22 14 10 11 20 19
46 66 1 22 13 10 16 20 17
37 64 0 18 15 12 12 10 19
51 59 0 21 17 12 15 15 25
51 64 0 23 14 12 14 10 19
56 60 0 19 11 8 15 16 22
66 56 1 19 9 10 14 9 23
37 78 0 21 7 5 13 17 14
59 53 1 21 13 10 6 10 28
42 67 0 21 15 10 12 19 16
38 59 1 21 12 12 12 13 24
66 66 0 20 15 11 14 8 20
34 68 0 19 14 9 14 11 12
53 71 1 21 16 12 15 9 24
49 66 0 19 14 11 11 12 22
55 73 0 19 13 10 13 10 12
49 72 0 19 16 12 14 9 22
59 71 1 20 13 10 16 14 20
40 59 0 19 16 9 13 14 10
58 64 1 19 16 11 14 10 23
60 66 1 19 16 12 16 8 17
63 78 0 20 10 7 11 13 22
56 68 0 19 12 11 13 9 24
54 73 0 18 12 12 13 14 18
52 62 1 19 12 6 15 8 21
34 65 1 21 12 9 12 16 20
69 68 1 18 19 15 13 14 20
32 65 0 18 14 10 12 14 22
48 60 1 19 13 11 14 8 19
67 71 0 21 16 12 14 11 20
58 65 1 20 15 12 16 11 26
57 68 1 24 12 12 15 13 23
42 64 1 22 8 11 14 12 24
64 74 1 21 10 9 13 13 21
58 69 1 21 16 11 14 9 21
66 76 0 19 16 12 15 10 19
26 68 1 19 10 12 14 12 8
61 72 1 20 18 14 12 11 17
52 67 1 18 12 8 7 13 20
51 63 0 19 16 10 12 17 11
55 59 0 19 10 9 15 15 8
50 73 0 20 14 10 12 15 15
60 66 0 21 12 9 13 14 18
56 62 0 18 11 10 11 10 18
63 69 0 19 15 12 14 15 19
61 66 1 19 7 11 13 14 19




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=267473&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=267473&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=267473&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
AMS.I x gender
01
2611
2910
3001
3210
3411
3501
3730
3801
3901
4010
4120
4211
4306
4401
4510
4601
4711
4803
4922
5012
5141
5214
5323
5431
5520
5653
5705
5825
5902
6011
6105
6211
6322
6402
6501
6631
6723
6820
6901
7001
7410
8401

\begin{tabular}{lllllllll}
\hline
Tabulation of Results \tabularnewline
AMS.I  x  gender \tabularnewline
  & 0 & 1 \tabularnewline
26 & 1 & 1 \tabularnewline
29 & 1 & 0 \tabularnewline
30 & 0 & 1 \tabularnewline
32 & 1 & 0 \tabularnewline
34 & 1 & 1 \tabularnewline
35 & 0 & 1 \tabularnewline
37 & 3 & 0 \tabularnewline
38 & 0 & 1 \tabularnewline
39 & 0 & 1 \tabularnewline
40 & 1 & 0 \tabularnewline
41 & 2 & 0 \tabularnewline
42 & 1 & 1 \tabularnewline
43 & 0 & 6 \tabularnewline
44 & 0 & 1 \tabularnewline
45 & 1 & 0 \tabularnewline
46 & 0 & 1 \tabularnewline
47 & 1 & 1 \tabularnewline
48 & 0 & 3 \tabularnewline
49 & 2 & 2 \tabularnewline
50 & 1 & 2 \tabularnewline
51 & 4 & 1 \tabularnewline
52 & 1 & 4 \tabularnewline
53 & 2 & 3 \tabularnewline
54 & 3 & 1 \tabularnewline
55 & 2 & 0 \tabularnewline
56 & 5 & 3 \tabularnewline
57 & 0 & 5 \tabularnewline
58 & 2 & 5 \tabularnewline
59 & 0 & 2 \tabularnewline
60 & 1 & 1 \tabularnewline
61 & 0 & 5 \tabularnewline
62 & 1 & 1 \tabularnewline
63 & 2 & 2 \tabularnewline
64 & 0 & 2 \tabularnewline
65 & 0 & 1 \tabularnewline
66 & 3 & 1 \tabularnewline
67 & 2 & 3 \tabularnewline
68 & 2 & 0 \tabularnewline
69 & 0 & 1 \tabularnewline
70 & 0 & 1 \tabularnewline
74 & 1 & 0 \tabularnewline
84 & 0 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=267473&T=1

[TABLE]
[ROW][C]Tabulation of Results[/C][/ROW]
[ROW][C]AMS.I  x  gender[/C][/ROW]
[ROW][C] [/C][C]0[/C][C]1[/C][/ROW]
[C]26[/C][C]1[/C][C]1[/C][/ROW]
[C]29[/C][C]1[/C][C]0[/C][/ROW]
[C]30[/C][C]0[/C][C]1[/C][/ROW]
[C]32[/C][C]1[/C][C]0[/C][/ROW]
[C]34[/C][C]1[/C][C]1[/C][/ROW]
[C]35[/C][C]0[/C][C]1[/C][/ROW]
[C]37[/C][C]3[/C][C]0[/C][/ROW]
[C]38[/C][C]0[/C][C]1[/C][/ROW]
[C]39[/C][C]0[/C][C]1[/C][/ROW]
[C]40[/C][C]1[/C][C]0[/C][/ROW]
[C]41[/C][C]2[/C][C]0[/C][/ROW]
[C]42[/C][C]1[/C][C]1[/C][/ROW]
[C]43[/C][C]0[/C][C]6[/C][/ROW]
[C]44[/C][C]0[/C][C]1[/C][/ROW]
[C]45[/C][C]1[/C][C]0[/C][/ROW]
[C]46[/C][C]0[/C][C]1[/C][/ROW]
[C]47[/C][C]1[/C][C]1[/C][/ROW]
[C]48[/C][C]0[/C][C]3[/C][/ROW]
[C]49[/C][C]2[/C][C]2[/C][/ROW]
[C]50[/C][C]1[/C][C]2[/C][/ROW]
[C]51[/C][C]4[/C][C]1[/C][/ROW]
[C]52[/C][C]1[/C][C]4[/C][/ROW]
[C]53[/C][C]2[/C][C]3[/C][/ROW]
[C]54[/C][C]3[/C][C]1[/C][/ROW]
[C]55[/C][C]2[/C][C]0[/C][/ROW]
[C]56[/C][C]5[/C][C]3[/C][/ROW]
[C]57[/C][C]0[/C][C]5[/C][/ROW]
[C]58[/C][C]2[/C][C]5[/C][/ROW]
[C]59[/C][C]0[/C][C]2[/C][/ROW]
[C]60[/C][C]1[/C][C]1[/C][/ROW]
[C]61[/C][C]0[/C][C]5[/C][/ROW]
[C]62[/C][C]1[/C][C]1[/C][/ROW]
[C]63[/C][C]2[/C][C]2[/C][/ROW]
[C]64[/C][C]0[/C][C]2[/C][/ROW]
[C]65[/C][C]0[/C][C]1[/C][/ROW]
[C]66[/C][C]3[/C][C]1[/C][/ROW]
[C]67[/C][C]2[/C][C]3[/C][/ROW]
[C]68[/C][C]2[/C][C]0[/C][/ROW]
[C]69[/C][C]0[/C][C]1[/C][/ROW]
[C]70[/C][C]0[/C][C]1[/C][/ROW]
[C]74[/C][C]1[/C][C]0[/C][/ROW]
[C]84[/C][C]0[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=267473&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=267473&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
AMS.I x gender
01
2611
2910
3001
3210
3411
3501
3730
3801
3901
4010
4120
4211
4306
4401
4510
4601
4711
4803
4922
5012
5141
5214
5323
5431
5520
5653
5705
5825
5902
6011
6105
6211
6322
6402
6501
6631
6723
6820
6901
7001
7410
8401







Tabulation of Expected Results
AMS.I x gender
01
260.831.17
290.420.58
300.420.58
320.420.58
340.831.17
350.420.58
371.251.75
380.420.58
390.420.58
400.420.58
410.831.17
420.831.17
432.53.5
440.420.58
450.420.58
460.420.58
470.831.17
481.251.75
491.662.34
501.251.75
512.082.92
522.082.92
532.082.92
541.662.34
550.831.17
563.334.67
572.082.92
582.914.09
590.831.17
600.831.17
612.082.92
620.831.17
631.662.34
640.831.17
650.420.58
661.662.34
672.082.92
680.831.17
690.420.58
700.420.58
740.420.58
840.420.58

\begin{tabular}{lllllllll}
\hline
Tabulation of Expected Results \tabularnewline
AMS.I  x  gender \tabularnewline
  & 0 & 1 \tabularnewline
26 & 0.83 & 1.17 \tabularnewline
29 & 0.42 & 0.58 \tabularnewline
30 & 0.42 & 0.58 \tabularnewline
32 & 0.42 & 0.58 \tabularnewline
34 & 0.83 & 1.17 \tabularnewline
35 & 0.42 & 0.58 \tabularnewline
37 & 1.25 & 1.75 \tabularnewline
38 & 0.42 & 0.58 \tabularnewline
39 & 0.42 & 0.58 \tabularnewline
40 & 0.42 & 0.58 \tabularnewline
41 & 0.83 & 1.17 \tabularnewline
42 & 0.83 & 1.17 \tabularnewline
43 & 2.5 & 3.5 \tabularnewline
44 & 0.42 & 0.58 \tabularnewline
45 & 0.42 & 0.58 \tabularnewline
46 & 0.42 & 0.58 \tabularnewline
47 & 0.83 & 1.17 \tabularnewline
48 & 1.25 & 1.75 \tabularnewline
49 & 1.66 & 2.34 \tabularnewline
50 & 1.25 & 1.75 \tabularnewline
51 & 2.08 & 2.92 \tabularnewline
52 & 2.08 & 2.92 \tabularnewline
53 & 2.08 & 2.92 \tabularnewline
54 & 1.66 & 2.34 \tabularnewline
55 & 0.83 & 1.17 \tabularnewline
56 & 3.33 & 4.67 \tabularnewline
57 & 2.08 & 2.92 \tabularnewline
58 & 2.91 & 4.09 \tabularnewline
59 & 0.83 & 1.17 \tabularnewline
60 & 0.83 & 1.17 \tabularnewline
61 & 2.08 & 2.92 \tabularnewline
62 & 0.83 & 1.17 \tabularnewline
63 & 1.66 & 2.34 \tabularnewline
64 & 0.83 & 1.17 \tabularnewline
65 & 0.42 & 0.58 \tabularnewline
66 & 1.66 & 2.34 \tabularnewline
67 & 2.08 & 2.92 \tabularnewline
68 & 0.83 & 1.17 \tabularnewline
69 & 0.42 & 0.58 \tabularnewline
70 & 0.42 & 0.58 \tabularnewline
74 & 0.42 & 0.58 \tabularnewline
84 & 0.42 & 0.58 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=267473&T=2

[TABLE]
[ROW][C]Tabulation of Expected Results[/C][/ROW]
[ROW][C]AMS.I  x  gender[/C][/ROW]
[ROW][C] [/C][C]0[/C][C]1[/C][/ROW]
[C]26[/C][C]0.83[/C][C]1.17[/C][/ROW]
[C]29[/C][C]0.42[/C][C]0.58[/C][/ROW]
[C]30[/C][C]0.42[/C][C]0.58[/C][/ROW]
[C]32[/C][C]0.42[/C][C]0.58[/C][/ROW]
[C]34[/C][C]0.83[/C][C]1.17[/C][/ROW]
[C]35[/C][C]0.42[/C][C]0.58[/C][/ROW]
[C]37[/C][C]1.25[/C][C]1.75[/C][/ROW]
[C]38[/C][C]0.42[/C][C]0.58[/C][/ROW]
[C]39[/C][C]0.42[/C][C]0.58[/C][/ROW]
[C]40[/C][C]0.42[/C][C]0.58[/C][/ROW]
[C]41[/C][C]0.83[/C][C]1.17[/C][/ROW]
[C]42[/C][C]0.83[/C][C]1.17[/C][/ROW]
[C]43[/C][C]2.5[/C][C]3.5[/C][/ROW]
[C]44[/C][C]0.42[/C][C]0.58[/C][/ROW]
[C]45[/C][C]0.42[/C][C]0.58[/C][/ROW]
[C]46[/C][C]0.42[/C][C]0.58[/C][/ROW]
[C]47[/C][C]0.83[/C][C]1.17[/C][/ROW]
[C]48[/C][C]1.25[/C][C]1.75[/C][/ROW]
[C]49[/C][C]1.66[/C][C]2.34[/C][/ROW]
[C]50[/C][C]1.25[/C][C]1.75[/C][/ROW]
[C]51[/C][C]2.08[/C][C]2.92[/C][/ROW]
[C]52[/C][C]2.08[/C][C]2.92[/C][/ROW]
[C]53[/C][C]2.08[/C][C]2.92[/C][/ROW]
[C]54[/C][C]1.66[/C][C]2.34[/C][/ROW]
[C]55[/C][C]0.83[/C][C]1.17[/C][/ROW]
[C]56[/C][C]3.33[/C][C]4.67[/C][/ROW]
[C]57[/C][C]2.08[/C][C]2.92[/C][/ROW]
[C]58[/C][C]2.91[/C][C]4.09[/C][/ROW]
[C]59[/C][C]0.83[/C][C]1.17[/C][/ROW]
[C]60[/C][C]0.83[/C][C]1.17[/C][/ROW]
[C]61[/C][C]2.08[/C][C]2.92[/C][/ROW]
[C]62[/C][C]0.83[/C][C]1.17[/C][/ROW]
[C]63[/C][C]1.66[/C][C]2.34[/C][/ROW]
[C]64[/C][C]0.83[/C][C]1.17[/C][/ROW]
[C]65[/C][C]0.42[/C][C]0.58[/C][/ROW]
[C]66[/C][C]1.66[/C][C]2.34[/C][/ROW]
[C]67[/C][C]2.08[/C][C]2.92[/C][/ROW]
[C]68[/C][C]0.83[/C][C]1.17[/C][/ROW]
[C]69[/C][C]0.42[/C][C]0.58[/C][/ROW]
[C]70[/C][C]0.42[/C][C]0.58[/C][/ROW]
[C]74[/C][C]0.42[/C][C]0.58[/C][/ROW]
[C]84[/C][C]0.42[/C][C]0.58[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=267473&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=267473&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
AMS.I x gender
01
260.831.17
290.420.58
300.420.58
320.420.58
340.831.17
350.420.58
371.251.75
380.420.58
390.420.58
400.420.58
410.831.17
420.831.17
432.53.5
440.420.58
450.420.58
460.420.58
470.831.17
481.251.75
491.662.34
501.251.75
512.082.92
522.082.92
532.082.92
541.662.34
550.831.17
563.334.67
572.082.92
582.914.09
590.831.17
600.831.17
612.082.92
620.831.17
631.662.34
640.831.17
650.420.58
661.662.34
672.082.92
680.831.17
690.420.58
700.420.58
740.420.58
840.420.58







Statistical Results
Pearson's Chi-squared test with simulated p-value (based on 2000 replicates)
Exact Pearson Chi Square Statistic53.44
P value0.02

\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 & 53.44 \tabularnewline
P value & 0.02 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=267473&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]53.44[/C][/ROW]
[ROW][C]P value[/C][C]0.02[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=267473&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=267473&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 with simulated p-value (based on 2000 replicates)
Exact Pearson Chi Square Statistic53.44
P value0.02



Parameters (Session):
Parameters (R input):
par1 = 1 ; par2 = 3 ; par3 = Exact Pearson Chi-Squared by Simulation ;
R code (references can be found in the software module):
par3 <- 'Pearson Chi-Squared'
par2 <- '3'
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')