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Author's title

Author

*The author of this computation has been verified*

R Software Module

rwasp_chi_squared_tests.wasp

Title produced by software

Chi-Squared Test, McNemar Test, and Fisher Exact Test

Date of computation

Sun, 14 Dec 2014 11:56:55 +0000

Cite this page as follows

Statistical 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, 16 May 2024 08:13:57 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=267473, Retrieved Thu, 16 May 2024 08:13:57 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

102

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]

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Dataseries X:

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Histogram

Boxplots

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 Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 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 Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 seconds
R Server	'Herman Ole Andreas Wold' @ wold.wessa.net

Tabulation of Results
AMS.I x gender
	0	1
26	1	1
29	1	0
30	0	1
32	1	0
34	1	1
35	0	1
37	3	0
38	0	1
39	0	1
40	1	0
41	2	0
42	1	1
43	0	6
44	0	1
45	1	0
46	0	1
47	1	1
48	0	3
49	2	2
50	1	2
51	4	1
52	1	4
53	2	3
54	3	1
55	2	0
56	5	3
57	0	5
58	2	5
59	0	2
60	1	1
61	0	5
62	1	1
63	2	2
64	0	2
65	0	1
66	3	1
67	2	3
68	2	0
69	0	1
70	0	1
74	1	0
84	0	1

\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
	0	1
26	1	1
29	1	0
30	0	1
32	1	0
34	1	1
35	0	1
37	3	0
38	0	1
39	0	1
40	1	0
41	2	0
42	1	1
43	0	6
44	0	1
45	1	0
46	0	1
47	1	1
48	0	3
49	2	2
50	1	2
51	4	1
52	1	4
53	2	3
54	3	1
55	2	0
56	5	3
57	0	5
58	2	5
59	0	2
60	1	1
61	0	5
62	1	1
63	2	2
64	0	2
65	0	1
66	3	1
67	2	3
68	2	0
69	0	1
70	0	1
74	1	0
84	0	1

Tabulation of Expected Results
AMS.I x gender
	0	1
26	0.83	1.17
29	0.42	0.58
30	0.42	0.58
32	0.42	0.58
34	0.83	1.17
35	0.42	0.58
37	1.25	1.75
38	0.42	0.58
39	0.42	0.58
40	0.42	0.58
41	0.83	1.17
42	0.83	1.17
43	2.5	3.5
44	0.42	0.58
45	0.42	0.58
46	0.42	0.58
47	0.83	1.17
48	1.25	1.75
49	1.66	2.34
50	1.25	1.75
51	2.08	2.92
52	2.08	2.92
53	2.08	2.92
54	1.66	2.34
55	0.83	1.17
56	3.33	4.67
57	2.08	2.92
58	2.91	4.09
59	0.83	1.17
60	0.83	1.17
61	2.08	2.92
62	0.83	1.17
63	1.66	2.34
64	0.83	1.17
65	0.42	0.58
66	1.66	2.34
67	2.08	2.92
68	0.83	1.17
69	0.42	0.58
70	0.42	0.58
74	0.42	0.58
84	0.42	0.58

\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
	0	1
26	0.83	1.17
29	0.42	0.58
30	0.42	0.58
32	0.42	0.58
34	0.83	1.17
35	0.42	0.58
37	1.25	1.75
38	0.42	0.58
39	0.42	0.58
40	0.42	0.58
41	0.83	1.17
42	0.83	1.17
43	2.5	3.5
44	0.42	0.58
45	0.42	0.58
46	0.42	0.58
47	0.83	1.17
48	1.25	1.75
49	1.66	2.34
50	1.25	1.75
51	2.08	2.92
52	2.08	2.92
53	2.08	2.92
54	1.66	2.34
55	0.83	1.17
56	3.33	4.67
57	2.08	2.92
58	2.91	4.09
59	0.83	1.17
60	0.83	1.17
61	2.08	2.92
62	0.83	1.17
63	1.66	2.34
64	0.83	1.17
65	0.42	0.58
66	1.66	2.34
67	2.08	2.92
68	0.83	1.17
69	0.42	0.58
70	0.42	0.58
74	0.42	0.58
84	0.42	0.58

Statistical Results
Pearson's Chi-squared test with simulated p-value (based on 2000 replicates)
Exact Pearson Chi Square Statistic	53.44
P value	0.02

\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 Statistic	53.44
P value	0.02

Figure 1

PNG link

Postscript link

PDF link

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')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code