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 12:28:06 +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/t1418560119422juwcznk7aa1q.htm/, Retrieved Thu, 16 May 2024 05:46:41 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=267505, Retrieved Thu, 16 May 2024 05:46:41 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact105
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 12:28:06] [6baf0af87d9d8aa2cb91b54f39a0a5b0] [Current]
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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 time4 seconds
R Server'Sir Maurice George Kendall' @ kendall.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 & 4 seconds \tabularnewline
R Server & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=267505&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]4 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=267505&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=267505&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 time4 seconds
R Server'Sir Maurice George Kendall' @ kendall.wessa.net







Tabulation of Results
AMS.I x STRESSTOT
6710111213141516
26000001100
29000010000
30000000001
32000010000
34000010100
35000001000
37000111000
38000010000
39000010000
40000001000
41000100100
42000010100
43000012021
44000000100
45000010000
46000000001
47000010001
48000100200
49000110200
50000020010
51000010130
52010100120
53000020021
54001011100
55000001010
56000103220
57000011210
58000101401
59100000001
60000001001
61000021101
62000100100
63000110110
64000001100
65000000010
66000001210
67000010301
68000000101
69000001000
70000000010
74000010000
84000000001

\begin{tabular}{lllllllll}
\hline
Tabulation of Results \tabularnewline
AMS.I  x  STRESSTOT \tabularnewline
  & 6 & 7 & 10 & 11 & 12 & 13 & 14 & 15 & 16 \tabularnewline
26 & 0 & 0 & 0 & 0 & 0 & 1 & 1 & 0 & 0 \tabularnewline
29 & 0 & 0 & 0 & 0 & 1 & 0 & 0 & 0 & 0 \tabularnewline
30 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 \tabularnewline
32 & 0 & 0 & 0 & 0 & 1 & 0 & 0 & 0 & 0 \tabularnewline
34 & 0 & 0 & 0 & 0 & 1 & 0 & 1 & 0 & 0 \tabularnewline
35 & 0 & 0 & 0 & 0 & 0 & 1 & 0 & 0 & 0 \tabularnewline
37 & 0 & 0 & 0 & 1 & 1 & 1 & 0 & 0 & 0 \tabularnewline
38 & 0 & 0 & 0 & 0 & 1 & 0 & 0 & 0 & 0 \tabularnewline
39 & 0 & 0 & 0 & 0 & 1 & 0 & 0 & 0 & 0 \tabularnewline
40 & 0 & 0 & 0 & 0 & 0 & 1 & 0 & 0 & 0 \tabularnewline
41 & 0 & 0 & 0 & 1 & 0 & 0 & 1 & 0 & 0 \tabularnewline
42 & 0 & 0 & 0 & 0 & 1 & 0 & 1 & 0 & 0 \tabularnewline
43 & 0 & 0 & 0 & 0 & 1 & 2 & 0 & 2 & 1 \tabularnewline
44 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 0 & 0 \tabularnewline
45 & 0 & 0 & 0 & 0 & 1 & 0 & 0 & 0 & 0 \tabularnewline
46 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 \tabularnewline
47 & 0 & 0 & 0 & 0 & 1 & 0 & 0 & 0 & 1 \tabularnewline
48 & 0 & 0 & 0 & 1 & 0 & 0 & 2 & 0 & 0 \tabularnewline
49 & 0 & 0 & 0 & 1 & 1 & 0 & 2 & 0 & 0 \tabularnewline
50 & 0 & 0 & 0 & 0 & 2 & 0 & 0 & 1 & 0 \tabularnewline
51 & 0 & 0 & 0 & 0 & 1 & 0 & 1 & 3 & 0 \tabularnewline
52 & 0 & 1 & 0 & 1 & 0 & 0 & 1 & 2 & 0 \tabularnewline
53 & 0 & 0 & 0 & 0 & 2 & 0 & 0 & 2 & 1 \tabularnewline
54 & 0 & 0 & 1 & 0 & 1 & 1 & 1 & 0 & 0 \tabularnewline
55 & 0 & 0 & 0 & 0 & 0 & 1 & 0 & 1 & 0 \tabularnewline
56 & 0 & 0 & 0 & 1 & 0 & 3 & 2 & 2 & 0 \tabularnewline
57 & 0 & 0 & 0 & 0 & 1 & 1 & 2 & 1 & 0 \tabularnewline
58 & 0 & 0 & 0 & 1 & 0 & 1 & 4 & 0 & 1 \tabularnewline
59 & 1 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 \tabularnewline
60 & 0 & 0 & 0 & 0 & 0 & 1 & 0 & 0 & 1 \tabularnewline
61 & 0 & 0 & 0 & 0 & 2 & 1 & 1 & 0 & 1 \tabularnewline
62 & 0 & 0 & 0 & 1 & 0 & 0 & 1 & 0 & 0 \tabularnewline
63 & 0 & 0 & 0 & 1 & 1 & 0 & 1 & 1 & 0 \tabularnewline
64 & 0 & 0 & 0 & 0 & 0 & 1 & 1 & 0 & 0 \tabularnewline
65 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 0 \tabularnewline
66 & 0 & 0 & 0 & 0 & 0 & 1 & 2 & 1 & 0 \tabularnewline
67 & 0 & 0 & 0 & 0 & 1 & 0 & 3 & 0 & 1 \tabularnewline
68 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 0 & 1 \tabularnewline
69 & 0 & 0 & 0 & 0 & 0 & 1 & 0 & 0 & 0 \tabularnewline
70 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 0 \tabularnewline
74 & 0 & 0 & 0 & 0 & 1 & 0 & 0 & 0 & 0 \tabularnewline
84 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=267505&T=1

[TABLE]
[ROW][C]Tabulation of Results[/C][/ROW]
[ROW][C]AMS.I  x  STRESSTOT[/C][/ROW]
[ROW][C] [/C][C]6[/C][C]7[/C][C]10[/C][C]11[/C][C]12[/C][C]13[/C][C]14[/C][C]15[/C][C]16[/C][/ROW]
[C]26[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[C]29[/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][/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][/ROW]
[C]32[/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][/ROW]
[C]34[/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][/ROW]
[C]35[/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][/ROW]
[C]37[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][C]1[/C][C]1[/C][C]0[/C][C]0[/C][C]0[/C][/ROW]
[C]38[/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][/ROW]
[C]39[/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][/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][/ROW]
[C]41[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/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]1[/C][C]0[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[C]43[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][C]2[/C][C]0[/C][C]2[/C][C]1[/C][/ROW]
[C]44[/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]45[/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][/ROW]
[C]46[/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]
[C]47[/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][/ROW]
[C]48[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][C]0[/C][C]0[/C][C]2[/C][C]0[/C][C]0[/C][/ROW]
[C]49[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][C]1[/C][C]0[/C][C]2[/C][C]0[/C][C]0[/C][/ROW]
[C]50[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]2[/C][C]0[/C][C]0[/C][C]1[/C][C]0[/C][/ROW]
[C]51[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][C]0[/C][C]1[/C][C]3[/C][C]0[/C][/ROW]
[C]52[/C][C]0[/C][C]1[/C][C]0[/C][C]1[/C][C]0[/C][C]0[/C][C]1[/C][C]2[/C][C]0[/C][/ROW]
[C]53[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]2[/C][C]0[/C][C]0[/C][C]2[/C][C]1[/C][/ROW]
[C]54[/C][C]0[/C][C]0[/C][C]1[/C][C]0[/C][C]1[/C][C]1[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[C]55[/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][/ROW]
[C]56[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][C]0[/C][C]3[/C][C]2[/C][C]2[/C][C]0[/C][/ROW]
[C]57[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][C]1[/C][C]2[/C][C]1[/C][C]0[/C][/ROW]
[C]58[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][C]0[/C][C]1[/C][C]4[/C][C]0[/C][C]1[/C][/ROW]
[C]59[/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]1[/C][/ROW]
[C]60[/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][/ROW]
[C]61[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]2[/C][C]1[/C][C]1[/C][C]0[/C][C]1[/C][/ROW]
[C]62[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][C]0[/C][C]0[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[C]63[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][C]1[/C][C]0[/C][C]1[/C][C]1[/C][C]0[/C][/ROW]
[C]64[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[C]65[/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][/ROW]
[C]66[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][C]2[/C][C]1[/C][C]0[/C][/ROW]
[C]67[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][C]0[/C][C]3[/C][C]0[/C][C]1[/C][/ROW]
[C]68[/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]1[/C][/ROW]
[C]69[/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][/ROW]
[C]70[/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][/ROW]
[C]74[/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][/ROW]
[C]84[/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=267505&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=267505&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 STRESSTOT
6710111213141516
26000001100
29000010000
30000000001
32000010000
34000010100
35000001000
37000111000
38000010000
39000010000
40000001000
41000100100
42000010100
43000012021
44000000100
45000010000
46000000001
47000010001
48000100200
49000110200
50000020010
51000010130
52010100120
53000020021
54001011100
55000001010
56000103220
57000011210
58000101401
59100000001
60000001001
61000021101
62000100100
63000110110
64000001100
65000000010
66000001210
67000010301
68000000101
69000001000
70000000010
74000010000
84000000001







Tabulation of Expected Results
AMS.I x STRESSTOT
6710111213141516
260.020.020.020.160.410.320.530.320.21
290.010.010.010.080.20.160.270.160.11
300.010.010.010.080.20.160.270.160.11
320.010.010.010.080.20.160.270.160.11
340.020.020.020.160.410.320.530.320.21
350.010.010.010.080.20.160.270.160.11
370.030.030.030.240.610.480.80.480.32
380.010.010.010.080.20.160.270.160.11
390.010.010.010.080.20.160.270.160.11
400.010.010.010.080.20.160.270.160.11
410.020.020.020.160.410.320.530.320.21
420.020.020.020.160.410.320.530.320.21
430.050.050.050.481.220.961.590.960.64
440.010.010.010.080.20.160.270.160.11
450.010.010.010.080.20.160.270.160.11
460.010.010.010.080.20.160.270.160.11
470.020.020.020.160.410.320.530.320.21
480.030.030.030.240.610.480.80.480.32
490.040.040.040.320.810.641.060.640.42
500.030.030.030.240.610.480.80.480.32
510.040.040.040.41.020.81.330.80.53
520.040.040.040.41.020.81.330.80.53
530.040.040.040.41.020.81.330.80.53
540.040.040.040.320.810.641.060.640.42
550.020.020.020.160.410.320.530.320.21
560.070.070.070.641.631.272.121.270.85
570.040.040.040.41.020.81.330.80.53
580.060.060.060.561.421.121.861.120.74
590.020.020.020.160.410.320.530.320.21
600.020.020.020.160.410.320.530.320.21
610.040.040.040.41.020.81.330.80.53
620.020.020.020.160.410.320.530.320.21
630.040.040.040.320.810.641.060.640.42
640.020.020.020.160.410.320.530.320.21
650.010.010.010.080.20.160.270.160.11
660.040.040.040.320.810.641.060.640.42
670.040.040.040.41.020.81.330.80.53
680.020.020.020.160.410.320.530.320.21
690.010.010.010.080.20.160.270.160.11
700.010.010.010.080.20.160.270.160.11
740.010.010.010.080.20.160.270.160.11
840.010.010.010.080.20.160.270.160.11

\begin{tabular}{lllllllll}
\hline
Tabulation of Expected Results \tabularnewline
AMS.I  x  STRESSTOT \tabularnewline
  & 6 & 7 & 10 & 11 & 12 & 13 & 14 & 15 & 16 \tabularnewline
26 & 0.02 & 0.02 & 0.02 & 0.16 & 0.41 & 0.32 & 0.53 & 0.32 & 0.21 \tabularnewline
29 & 0.01 & 0.01 & 0.01 & 0.08 & 0.2 & 0.16 & 0.27 & 0.16 & 0.11 \tabularnewline
30 & 0.01 & 0.01 & 0.01 & 0.08 & 0.2 & 0.16 & 0.27 & 0.16 & 0.11 \tabularnewline
32 & 0.01 & 0.01 & 0.01 & 0.08 & 0.2 & 0.16 & 0.27 & 0.16 & 0.11 \tabularnewline
34 & 0.02 & 0.02 & 0.02 & 0.16 & 0.41 & 0.32 & 0.53 & 0.32 & 0.21 \tabularnewline
35 & 0.01 & 0.01 & 0.01 & 0.08 & 0.2 & 0.16 & 0.27 & 0.16 & 0.11 \tabularnewline
37 & 0.03 & 0.03 & 0.03 & 0.24 & 0.61 & 0.48 & 0.8 & 0.48 & 0.32 \tabularnewline
38 & 0.01 & 0.01 & 0.01 & 0.08 & 0.2 & 0.16 & 0.27 & 0.16 & 0.11 \tabularnewline
39 & 0.01 & 0.01 & 0.01 & 0.08 & 0.2 & 0.16 & 0.27 & 0.16 & 0.11 \tabularnewline
40 & 0.01 & 0.01 & 0.01 & 0.08 & 0.2 & 0.16 & 0.27 & 0.16 & 0.11 \tabularnewline
41 & 0.02 & 0.02 & 0.02 & 0.16 & 0.41 & 0.32 & 0.53 & 0.32 & 0.21 \tabularnewline
42 & 0.02 & 0.02 & 0.02 & 0.16 & 0.41 & 0.32 & 0.53 & 0.32 & 0.21 \tabularnewline
43 & 0.05 & 0.05 & 0.05 & 0.48 & 1.22 & 0.96 & 1.59 & 0.96 & 0.64 \tabularnewline
44 & 0.01 & 0.01 & 0.01 & 0.08 & 0.2 & 0.16 & 0.27 & 0.16 & 0.11 \tabularnewline
45 & 0.01 & 0.01 & 0.01 & 0.08 & 0.2 & 0.16 & 0.27 & 0.16 & 0.11 \tabularnewline
46 & 0.01 & 0.01 & 0.01 & 0.08 & 0.2 & 0.16 & 0.27 & 0.16 & 0.11 \tabularnewline
47 & 0.02 & 0.02 & 0.02 & 0.16 & 0.41 & 0.32 & 0.53 & 0.32 & 0.21 \tabularnewline
48 & 0.03 & 0.03 & 0.03 & 0.24 & 0.61 & 0.48 & 0.8 & 0.48 & 0.32 \tabularnewline
49 & 0.04 & 0.04 & 0.04 & 0.32 & 0.81 & 0.64 & 1.06 & 0.64 & 0.42 \tabularnewline
50 & 0.03 & 0.03 & 0.03 & 0.24 & 0.61 & 0.48 & 0.8 & 0.48 & 0.32 \tabularnewline
51 & 0.04 & 0.04 & 0.04 & 0.4 & 1.02 & 0.8 & 1.33 & 0.8 & 0.53 \tabularnewline
52 & 0.04 & 0.04 & 0.04 & 0.4 & 1.02 & 0.8 & 1.33 & 0.8 & 0.53 \tabularnewline
53 & 0.04 & 0.04 & 0.04 & 0.4 & 1.02 & 0.8 & 1.33 & 0.8 & 0.53 \tabularnewline
54 & 0.04 & 0.04 & 0.04 & 0.32 & 0.81 & 0.64 & 1.06 & 0.64 & 0.42 \tabularnewline
55 & 0.02 & 0.02 & 0.02 & 0.16 & 0.41 & 0.32 & 0.53 & 0.32 & 0.21 \tabularnewline
56 & 0.07 & 0.07 & 0.07 & 0.64 & 1.63 & 1.27 & 2.12 & 1.27 & 0.85 \tabularnewline
57 & 0.04 & 0.04 & 0.04 & 0.4 & 1.02 & 0.8 & 1.33 & 0.8 & 0.53 \tabularnewline
58 & 0.06 & 0.06 & 0.06 & 0.56 & 1.42 & 1.12 & 1.86 & 1.12 & 0.74 \tabularnewline
59 & 0.02 & 0.02 & 0.02 & 0.16 & 0.41 & 0.32 & 0.53 & 0.32 & 0.21 \tabularnewline
60 & 0.02 & 0.02 & 0.02 & 0.16 & 0.41 & 0.32 & 0.53 & 0.32 & 0.21 \tabularnewline
61 & 0.04 & 0.04 & 0.04 & 0.4 & 1.02 & 0.8 & 1.33 & 0.8 & 0.53 \tabularnewline
62 & 0.02 & 0.02 & 0.02 & 0.16 & 0.41 & 0.32 & 0.53 & 0.32 & 0.21 \tabularnewline
63 & 0.04 & 0.04 & 0.04 & 0.32 & 0.81 & 0.64 & 1.06 & 0.64 & 0.42 \tabularnewline
64 & 0.02 & 0.02 & 0.02 & 0.16 & 0.41 & 0.32 & 0.53 & 0.32 & 0.21 \tabularnewline
65 & 0.01 & 0.01 & 0.01 & 0.08 & 0.2 & 0.16 & 0.27 & 0.16 & 0.11 \tabularnewline
66 & 0.04 & 0.04 & 0.04 & 0.32 & 0.81 & 0.64 & 1.06 & 0.64 & 0.42 \tabularnewline
67 & 0.04 & 0.04 & 0.04 & 0.4 & 1.02 & 0.8 & 1.33 & 0.8 & 0.53 \tabularnewline
68 & 0.02 & 0.02 & 0.02 & 0.16 & 0.41 & 0.32 & 0.53 & 0.32 & 0.21 \tabularnewline
69 & 0.01 & 0.01 & 0.01 & 0.08 & 0.2 & 0.16 & 0.27 & 0.16 & 0.11 \tabularnewline
70 & 0.01 & 0.01 & 0.01 & 0.08 & 0.2 & 0.16 & 0.27 & 0.16 & 0.11 \tabularnewline
74 & 0.01 & 0.01 & 0.01 & 0.08 & 0.2 & 0.16 & 0.27 & 0.16 & 0.11 \tabularnewline
84 & 0.01 & 0.01 & 0.01 & 0.08 & 0.2 & 0.16 & 0.27 & 0.16 & 0.11 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=267505&T=2

[TABLE]
[ROW][C]Tabulation of Expected Results[/C][/ROW]
[ROW][C]AMS.I  x  STRESSTOT[/C][/ROW]
[ROW][C] [/C][C]6[/C][C]7[/C][C]10[/C][C]11[/C][C]12[/C][C]13[/C][C]14[/C][C]15[/C][C]16[/C][/ROW]
[C]26[/C][C]0.02[/C][C]0.02[/C][C]0.02[/C][C]0.16[/C][C]0.41[/C][C]0.32[/C][C]0.53[/C][C]0.32[/C][C]0.21[/C][/ROW]
[C]29[/C][C]0.01[/C][C]0.01[/C][C]0.01[/C][C]0.08[/C][C]0.2[/C][C]0.16[/C][C]0.27[/C][C]0.16[/C][C]0.11[/C][/ROW]
[C]30[/C][C]0.01[/C][C]0.01[/C][C]0.01[/C][C]0.08[/C][C]0.2[/C][C]0.16[/C][C]0.27[/C][C]0.16[/C][C]0.11[/C][/ROW]
[C]32[/C][C]0.01[/C][C]0.01[/C][C]0.01[/C][C]0.08[/C][C]0.2[/C][C]0.16[/C][C]0.27[/C][C]0.16[/C][C]0.11[/C][/ROW]
[C]34[/C][C]0.02[/C][C]0.02[/C][C]0.02[/C][C]0.16[/C][C]0.41[/C][C]0.32[/C][C]0.53[/C][C]0.32[/C][C]0.21[/C][/ROW]
[C]35[/C][C]0.01[/C][C]0.01[/C][C]0.01[/C][C]0.08[/C][C]0.2[/C][C]0.16[/C][C]0.27[/C][C]0.16[/C][C]0.11[/C][/ROW]
[C]37[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.24[/C][C]0.61[/C][C]0.48[/C][C]0.8[/C][C]0.48[/C][C]0.32[/C][/ROW]
[C]38[/C][C]0.01[/C][C]0.01[/C][C]0.01[/C][C]0.08[/C][C]0.2[/C][C]0.16[/C][C]0.27[/C][C]0.16[/C][C]0.11[/C][/ROW]
[C]39[/C][C]0.01[/C][C]0.01[/C][C]0.01[/C][C]0.08[/C][C]0.2[/C][C]0.16[/C][C]0.27[/C][C]0.16[/C][C]0.11[/C][/ROW]
[C]40[/C][C]0.01[/C][C]0.01[/C][C]0.01[/C][C]0.08[/C][C]0.2[/C][C]0.16[/C][C]0.27[/C][C]0.16[/C][C]0.11[/C][/ROW]
[C]41[/C][C]0.02[/C][C]0.02[/C][C]0.02[/C][C]0.16[/C][C]0.41[/C][C]0.32[/C][C]0.53[/C][C]0.32[/C][C]0.21[/C][/ROW]
[C]42[/C][C]0.02[/C][C]0.02[/C][C]0.02[/C][C]0.16[/C][C]0.41[/C][C]0.32[/C][C]0.53[/C][C]0.32[/C][C]0.21[/C][/ROW]
[C]43[/C][C]0.05[/C][C]0.05[/C][C]0.05[/C][C]0.48[/C][C]1.22[/C][C]0.96[/C][C]1.59[/C][C]0.96[/C][C]0.64[/C][/ROW]
[C]44[/C][C]0.01[/C][C]0.01[/C][C]0.01[/C][C]0.08[/C][C]0.2[/C][C]0.16[/C][C]0.27[/C][C]0.16[/C][C]0.11[/C][/ROW]
[C]45[/C][C]0.01[/C][C]0.01[/C][C]0.01[/C][C]0.08[/C][C]0.2[/C][C]0.16[/C][C]0.27[/C][C]0.16[/C][C]0.11[/C][/ROW]
[C]46[/C][C]0.01[/C][C]0.01[/C][C]0.01[/C][C]0.08[/C][C]0.2[/C][C]0.16[/C][C]0.27[/C][C]0.16[/C][C]0.11[/C][/ROW]
[C]47[/C][C]0.02[/C][C]0.02[/C][C]0.02[/C][C]0.16[/C][C]0.41[/C][C]0.32[/C][C]0.53[/C][C]0.32[/C][C]0.21[/C][/ROW]
[C]48[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.24[/C][C]0.61[/C][C]0.48[/C][C]0.8[/C][C]0.48[/C][C]0.32[/C][/ROW]
[C]49[/C][C]0.04[/C][C]0.04[/C][C]0.04[/C][C]0.32[/C][C]0.81[/C][C]0.64[/C][C]1.06[/C][C]0.64[/C][C]0.42[/C][/ROW]
[C]50[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.24[/C][C]0.61[/C][C]0.48[/C][C]0.8[/C][C]0.48[/C][C]0.32[/C][/ROW]
[C]51[/C][C]0.04[/C][C]0.04[/C][C]0.04[/C][C]0.4[/C][C]1.02[/C][C]0.8[/C][C]1.33[/C][C]0.8[/C][C]0.53[/C][/ROW]
[C]52[/C][C]0.04[/C][C]0.04[/C][C]0.04[/C][C]0.4[/C][C]1.02[/C][C]0.8[/C][C]1.33[/C][C]0.8[/C][C]0.53[/C][/ROW]
[C]53[/C][C]0.04[/C][C]0.04[/C][C]0.04[/C][C]0.4[/C][C]1.02[/C][C]0.8[/C][C]1.33[/C][C]0.8[/C][C]0.53[/C][/ROW]
[C]54[/C][C]0.04[/C][C]0.04[/C][C]0.04[/C][C]0.32[/C][C]0.81[/C][C]0.64[/C][C]1.06[/C][C]0.64[/C][C]0.42[/C][/ROW]
[C]55[/C][C]0.02[/C][C]0.02[/C][C]0.02[/C][C]0.16[/C][C]0.41[/C][C]0.32[/C][C]0.53[/C][C]0.32[/C][C]0.21[/C][/ROW]
[C]56[/C][C]0.07[/C][C]0.07[/C][C]0.07[/C][C]0.64[/C][C]1.63[/C][C]1.27[/C][C]2.12[/C][C]1.27[/C][C]0.85[/C][/ROW]
[C]57[/C][C]0.04[/C][C]0.04[/C][C]0.04[/C][C]0.4[/C][C]1.02[/C][C]0.8[/C][C]1.33[/C][C]0.8[/C][C]0.53[/C][/ROW]
[C]58[/C][C]0.06[/C][C]0.06[/C][C]0.06[/C][C]0.56[/C][C]1.42[/C][C]1.12[/C][C]1.86[/C][C]1.12[/C][C]0.74[/C][/ROW]
[C]59[/C][C]0.02[/C][C]0.02[/C][C]0.02[/C][C]0.16[/C][C]0.41[/C][C]0.32[/C][C]0.53[/C][C]0.32[/C][C]0.21[/C][/ROW]
[C]60[/C][C]0.02[/C][C]0.02[/C][C]0.02[/C][C]0.16[/C][C]0.41[/C][C]0.32[/C][C]0.53[/C][C]0.32[/C][C]0.21[/C][/ROW]
[C]61[/C][C]0.04[/C][C]0.04[/C][C]0.04[/C][C]0.4[/C][C]1.02[/C][C]0.8[/C][C]1.33[/C][C]0.8[/C][C]0.53[/C][/ROW]
[C]62[/C][C]0.02[/C][C]0.02[/C][C]0.02[/C][C]0.16[/C][C]0.41[/C][C]0.32[/C][C]0.53[/C][C]0.32[/C][C]0.21[/C][/ROW]
[C]63[/C][C]0.04[/C][C]0.04[/C][C]0.04[/C][C]0.32[/C][C]0.81[/C][C]0.64[/C][C]1.06[/C][C]0.64[/C][C]0.42[/C][/ROW]
[C]64[/C][C]0.02[/C][C]0.02[/C][C]0.02[/C][C]0.16[/C][C]0.41[/C][C]0.32[/C][C]0.53[/C][C]0.32[/C][C]0.21[/C][/ROW]
[C]65[/C][C]0.01[/C][C]0.01[/C][C]0.01[/C][C]0.08[/C][C]0.2[/C][C]0.16[/C][C]0.27[/C][C]0.16[/C][C]0.11[/C][/ROW]
[C]66[/C][C]0.04[/C][C]0.04[/C][C]0.04[/C][C]0.32[/C][C]0.81[/C][C]0.64[/C][C]1.06[/C][C]0.64[/C][C]0.42[/C][/ROW]
[C]67[/C][C]0.04[/C][C]0.04[/C][C]0.04[/C][C]0.4[/C][C]1.02[/C][C]0.8[/C][C]1.33[/C][C]0.8[/C][C]0.53[/C][/ROW]
[C]68[/C][C]0.02[/C][C]0.02[/C][C]0.02[/C][C]0.16[/C][C]0.41[/C][C]0.32[/C][C]0.53[/C][C]0.32[/C][C]0.21[/C][/ROW]
[C]69[/C][C]0.01[/C][C]0.01[/C][C]0.01[/C][C]0.08[/C][C]0.2[/C][C]0.16[/C][C]0.27[/C][C]0.16[/C][C]0.11[/C][/ROW]
[C]70[/C][C]0.01[/C][C]0.01[/C][C]0.01[/C][C]0.08[/C][C]0.2[/C][C]0.16[/C][C]0.27[/C][C]0.16[/C][C]0.11[/C][/ROW]
[C]74[/C][C]0.01[/C][C]0.01[/C][C]0.01[/C][C]0.08[/C][C]0.2[/C][C]0.16[/C][C]0.27[/C][C]0.16[/C][C]0.11[/C][/ROW]
[C]84[/C][C]0.01[/C][C]0.01[/C][C]0.01[/C][C]0.08[/C][C]0.2[/C][C]0.16[/C][C]0.27[/C][C]0.16[/C][C]0.11[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=267505&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=267505&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 STRESSTOT
6710111213141516
260.020.020.020.160.410.320.530.320.21
290.010.010.010.080.20.160.270.160.11
300.010.010.010.080.20.160.270.160.11
320.010.010.010.080.20.160.270.160.11
340.020.020.020.160.410.320.530.320.21
350.010.010.010.080.20.160.270.160.11
370.030.030.030.240.610.480.80.480.32
380.010.010.010.080.20.160.270.160.11
390.010.010.010.080.20.160.270.160.11
400.010.010.010.080.20.160.270.160.11
410.020.020.020.160.410.320.530.320.21
420.020.020.020.160.410.320.530.320.21
430.050.050.050.481.220.961.590.960.64
440.010.010.010.080.20.160.270.160.11
450.010.010.010.080.20.160.270.160.11
460.010.010.010.080.20.160.270.160.11
470.020.020.020.160.410.320.530.320.21
480.030.030.030.240.610.480.80.480.32
490.040.040.040.320.810.641.060.640.42
500.030.030.030.240.610.480.80.480.32
510.040.040.040.41.020.81.330.80.53
520.040.040.040.41.020.81.330.80.53
530.040.040.040.41.020.81.330.80.53
540.040.040.040.320.810.641.060.640.42
550.020.020.020.160.410.320.530.320.21
560.070.070.070.641.631.272.121.270.85
570.040.040.040.41.020.81.330.80.53
580.060.060.060.561.421.121.861.120.74
590.020.020.020.160.410.320.530.320.21
600.020.020.020.160.410.320.530.320.21
610.040.040.040.41.020.81.330.80.53
620.020.020.020.160.410.320.530.320.21
630.040.040.040.320.810.641.060.640.42
640.020.020.020.160.410.320.530.320.21
650.010.010.010.080.20.160.270.160.11
660.040.040.040.320.810.641.060.640.42
670.040.040.040.41.020.81.330.80.53
680.020.020.020.160.410.320.530.320.21
690.010.010.010.080.20.160.270.160.11
700.010.010.010.080.20.160.270.160.11
740.010.010.010.080.20.160.270.160.11
840.010.010.010.080.20.160.270.160.11







Statistical Results
Pearson's Chi-squared test with simulated p-value (based on 2000 replicates)
Exact Pearson Chi Square Statistic299.49
P value0.67

\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 & 299.49 \tabularnewline
P value & 0.67 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=267505&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]299.49[/C][/ROW]
[ROW][C]P value[/C][C]0.67[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=267505&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=267505&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 Statistic299.49
P value0.67



Parameters (Session):
Parameters (R input):
par1 = 1 ; par2 = 7 ; 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')