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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 computationThu, 18 Dec 2014 14:43:18 +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/18/t1418913838n0ew35onmdhj218.htm/, Retrieved Sun, 19 May 2024 20:22:36 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=271012, Retrieved Sun, 19 May 2024 20:22:36 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact77

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] [] [2014-12-18 14:43:18] [4511a3627978005d3fb0dfa0eb9854e9] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
20	13
20	16
17	11
21	10
23	9
21	8
17	26
20	10
24	10
21	8
21	13
23	11
23	8
20	12
21	24
17	21
18	5
21	14
20	11
18	9
23	8
23	17
21	18
21	16
18	23
18	9
18	14
23	13
21	10
24	8
18	10
18	19
21	11
24	16
23	12
18	11
21	11
20	10
21	13
24	14
18	8
21	11
23	11
20	13
24	15
24	15
18	16
18	12
24	12
18	17
23	14
18	15
20	12
18	13
21	7
21	8
17	16
15	20
18	14
17	10
24	16
21	11
21	26
23	9
23	15
21	12
20	21
17	20
24	20
18	10
23	15
21	10
23	16
21	9
20	17
9	10
18	19
18	13
21	8
21	11
23	9
17	12
20	10
21	9
24	14
20	14
21	10
24	8
17	13
20	9
20	14
23	8
18	16
20	14
18	14
21	8
21	11
24	11
23	13
21	12
20	13
21	9
23	10
21	12
18	11
11	13
18	17
23	15
18	15
20	14
17	10
21	15
20	14

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 seconds \tabularnewline
R Server & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=271012&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]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=271012&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=271012&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 time2 seconds
R Server'Sir Maurice George Kendall' @ kendall.wessa.net






Tabulation of Results
STRESS x DEPR
5789101112131415161718192021232426
90000100000000000000
110000000100000000000
150000000000000010000
170000211100100011001
181012221232220200100
200001312350110001000
210153463211101000011
230033121213110000000
240020111022200010000

\begin{tabular}{lllllllll}
\hline
Tabulation of Results \tabularnewline
STRESS  x  DEPR \tabularnewline
  & 5 & 7 & 8 & 9 & 10 & 11 & 12 & 13 & 14 & 15 & 16 & 17 & 18 & 19 & 20 & 21 & 23 & 24 & 26 \tabularnewline
9 & 0 & 0 & 0 & 0 & 1 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline
11 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline
15 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 0 & 0 & 0 & 0 \tabularnewline
17 & 0 & 0 & 0 & 0 & 2 & 1 & 1 & 1 & 0 & 0 & 1 & 0 & 0 & 0 & 1 & 1 & 0 & 0 & 1 \tabularnewline
18 & 1 & 0 & 1 & 2 & 2 & 2 & 1 & 2 & 3 & 2 & 2 & 2 & 0 & 2 & 0 & 0 & 1 & 0 & 0 \tabularnewline
20 & 0 & 0 & 0 & 1 & 3 & 1 & 2 & 3 & 5 & 0 & 1 & 1 & 0 & 0 & 0 & 1 & 0 & 0 & 0 \tabularnewline
21 & 0 & 1 & 5 & 3 & 4 & 6 & 3 & 2 & 1 & 1 & 1 & 0 & 1 & 0 & 0 & 0 & 0 & 1 & 1 \tabularnewline
23 & 0 & 0 & 3 & 3 & 1 & 2 & 1 & 2 & 1 & 3 & 1 & 1 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline
24 & 0 & 0 & 2 & 0 & 1 & 1 & 1 & 0 & 2 & 2 & 2 & 0 & 0 & 0 & 1 & 0 & 0 & 0 & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=271012&T=1

[TABLE]
[ROW]Tabulation of Results[/C][/ROW]
[ROW]STRESS  x  DEPR[/C][/ROW]
[ROW][C] [/C][C]5[/C][C]7[/C][C]8[/C][C]9[/C][C]10[/C][C]11[/C][C]12[/C][C]13[/C][C]14[/C][C]15[/C][C]16[/C][C]17[/C][C]18[/C][C]19[/C][C]20[/C][C]21[/C][C]23[/C][C]24[/C][C]26[/C][/ROW]
[C]9[/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][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][/ROW]
[C]11[/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][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]15[/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]0[/C][C]1[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][/ROW]
[C]17[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]2[/C][C]1[/C][C]1[/C][C]1[/C][C]0[/C][C]0[/C][C]1[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][C]1[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[C]18[/C][C]1[/C][C]0[/C][C]1[/C][C]2[/C][C]2[/C][C]2[/C][C]1[/C][C]2[/C][C]3[/C][C]2[/C][C]2[/C][C]2[/C][C]0[/C][C]2[/C][C]0[/C][C]0[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[C]20[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][C]3[/C][C]1[/C][C]2[/C][C]3[/C][C]5[/C][C]0[/C][C]1[/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]21[/C][C]0[/C][C]1[/C][C]5[/C][C]3[/C][C]4[/C][C]6[/C][C]3[/C][C]2[/C][C]1[/C][C]1[/C][C]1[/C][C]0[/C][C]1[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][C]1[/C][/ROW]
[C]23[/C][C]0[/C][C]0[/C][C]3[/C][C]3[/C][C]1[/C][C]2[/C][C]1[/C][C]2[/C][C]1[/C][C]3[/C][C]1[/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]24[/C][C]0[/C][C]0[/C][C]2[/C][C]0[/C][C]1[/C][C]1[/C][C]1[/C][C]0[/C][C]2[/C][C]2[/C][C]2[/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]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=271012&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=271012&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
STRESS x DEPR
5789101112131415161718192021232426
90000100000000000000
110000000100000000000
150000000000000010000
170000211100100011001
181012221232220200100
200001312350110001000
210153463211101000011
230033121213110000000
240020111022200010000






Tabulation of Expected Results
STRESS x DEPR
5789101112131415161718192021232426
90.010.010.10.080.120.120.080.10.110.070.070.040.010.020.030.020.010.010.02
110.010.010.10.080.120.120.080.10.110.070.070.040.010.020.030.020.010.010.02
150.010.010.10.080.120.120.080.10.110.070.070.040.010.020.030.020.010.010.02
170.080.080.880.721.121.040.720.880.960.640.640.320.080.160.240.160.080.080.16
180.20.22.241.832.852.651.832.242.441.631.630.810.20.410.610.410.20.20.41
200.160.161.751.432.232.071.431.751.911.271.270.640.160.320.480.320.160.160.32
210.270.272.922.393.723.452.392.923.192.122.121.060.270.530.80.530.270.270.53
230.160.161.751.432.232.071.431.751.911.271.270.640.160.320.480.320.160.160.32
240.110.111.170.961.491.380.961.171.270.850.850.420.110.210.320.210.110.110.21

\begin{tabular}{lllllllll}
\hline
Tabulation of Expected Results \tabularnewline
STRESS  x  DEPR \tabularnewline
  & 5 & 7 & 8 & 9 & 10 & 11 & 12 & 13 & 14 & 15 & 16 & 17 & 18 & 19 & 20 & 21 & 23 & 24 & 26 \tabularnewline
9 & 0.01 & 0.01 & 0.1 & 0.08 & 0.12 & 0.12 & 0.08 & 0.1 & 0.11 & 0.07 & 0.07 & 0.04 & 0.01 & 0.02 & 0.03 & 0.02 & 0.01 & 0.01 & 0.02 \tabularnewline
11 & 0.01 & 0.01 & 0.1 & 0.08 & 0.12 & 0.12 & 0.08 & 0.1 & 0.11 & 0.07 & 0.07 & 0.04 & 0.01 & 0.02 & 0.03 & 0.02 & 0.01 & 0.01 & 0.02 \tabularnewline
15 & 0.01 & 0.01 & 0.1 & 0.08 & 0.12 & 0.12 & 0.08 & 0.1 & 0.11 & 0.07 & 0.07 & 0.04 & 0.01 & 0.02 & 0.03 & 0.02 & 0.01 & 0.01 & 0.02 \tabularnewline
17 & 0.08 & 0.08 & 0.88 & 0.72 & 1.12 & 1.04 & 0.72 & 0.88 & 0.96 & 0.64 & 0.64 & 0.32 & 0.08 & 0.16 & 0.24 & 0.16 & 0.08 & 0.08 & 0.16 \tabularnewline
18 & 0.2 & 0.2 & 2.24 & 1.83 & 2.85 & 2.65 & 1.83 & 2.24 & 2.44 & 1.63 & 1.63 & 0.81 & 0.2 & 0.41 & 0.61 & 0.41 & 0.2 & 0.2 & 0.41 \tabularnewline
20 & 0.16 & 0.16 & 1.75 & 1.43 & 2.23 & 2.07 & 1.43 & 1.75 & 1.91 & 1.27 & 1.27 & 0.64 & 0.16 & 0.32 & 0.48 & 0.32 & 0.16 & 0.16 & 0.32 \tabularnewline
21 & 0.27 & 0.27 & 2.92 & 2.39 & 3.72 & 3.45 & 2.39 & 2.92 & 3.19 & 2.12 & 2.12 & 1.06 & 0.27 & 0.53 & 0.8 & 0.53 & 0.27 & 0.27 & 0.53 \tabularnewline
23 & 0.16 & 0.16 & 1.75 & 1.43 & 2.23 & 2.07 & 1.43 & 1.75 & 1.91 & 1.27 & 1.27 & 0.64 & 0.16 & 0.32 & 0.48 & 0.32 & 0.16 & 0.16 & 0.32 \tabularnewline
24 & 0.11 & 0.11 & 1.17 & 0.96 & 1.49 & 1.38 & 0.96 & 1.17 & 1.27 & 0.85 & 0.85 & 0.42 & 0.11 & 0.21 & 0.32 & 0.21 & 0.11 & 0.11 & 0.21 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=271012&T=2

[TABLE]
[ROW]Tabulation of Expected Results[/C][/ROW]
[ROW]STRESS  x  DEPR[/C][/ROW]
[ROW][C] [/C][C]5[/C][C]7[/C][C]8[/C][C]9[/C][C]10[/C][C]11[/C][C]12[/C][C]13[/C][C]14[/C][C]15[/C][C]16[/C][C]17[/C][C]18[/C][C]19[/C][C]20[/C][C]21[/C][C]23[/C][C]24[/C][C]26[/C][/ROW]
[C]9[/C][C]0.01[/C][C]0.01[/C][C]0.1[/C][C]0.08[/C][C]0.12[/C][C]0.12[/C][C]0.08[/C][C]0.1[/C][C]0.11[/C][C]0.07[/C][C]0.07[/C][C]0.04[/C][C]0.01[/C][C]0.02[/C][C]0.03[/C][C]0.02[/C][C]0.01[/C][C]0.01[/C][C]0.02[/C][/ROW]
[C]11[/C][C]0.01[/C][C]0.01[/C][C]0.1[/C][C]0.08[/C][C]0.12[/C][C]0.12[/C][C]0.08[/C][C]0.1[/C][C]0.11[/C][C]0.07[/C][C]0.07[/C][C]0.04[/C][C]0.01[/C][C]0.02[/C][C]0.03[/C][C]0.02[/C][C]0.01[/C][C]0.01[/C][C]0.02[/C][/ROW]
[C]15[/C][C]0.01[/C][C]0.01[/C][C]0.1[/C][C]0.08[/C][C]0.12[/C][C]0.12[/C][C]0.08[/C][C]0.1[/C][C]0.11[/C][C]0.07[/C][C]0.07[/C][C]0.04[/C][C]0.01[/C][C]0.02[/C][C]0.03[/C][C]0.02[/C][C]0.01[/C][C]0.01[/C][C]0.02[/C][/ROW]
[C]17[/C][C]0.08[/C][C]0.08[/C][C]0.88[/C][C]0.72[/C][C]1.12[/C][C]1.04[/C][C]0.72[/C][C]0.88[/C][C]0.96[/C][C]0.64[/C][C]0.64[/C][C]0.32[/C][C]0.08[/C][C]0.16[/C][C]0.24[/C][C]0.16[/C][C]0.08[/C][C]0.08[/C][C]0.16[/C][/ROW]
[C]18[/C][C]0.2[/C][C]0.2[/C][C]2.24[/C][C]1.83[/C][C]2.85[/C][C]2.65[/C][C]1.83[/C][C]2.24[/C][C]2.44[/C][C]1.63[/C][C]1.63[/C][C]0.81[/C][C]0.2[/C][C]0.41[/C][C]0.61[/C][C]0.41[/C][C]0.2[/C][C]0.2[/C][C]0.41[/C][/ROW]
[C]20[/C][C]0.16[/C][C]0.16[/C][C]1.75[/C][C]1.43[/C][C]2.23[/C][C]2.07[/C][C]1.43[/C][C]1.75[/C][C]1.91[/C][C]1.27[/C][C]1.27[/C][C]0.64[/C][C]0.16[/C][C]0.32[/C][C]0.48[/C][C]0.32[/C][C]0.16[/C][C]0.16[/C][C]0.32[/C][/ROW]
[C]21[/C][C]0.27[/C][C]0.27[/C][C]2.92[/C][C]2.39[/C][C]3.72[/C][C]3.45[/C][C]2.39[/C][C]2.92[/C][C]3.19[/C][C]2.12[/C][C]2.12[/C][C]1.06[/C][C]0.27[/C][C]0.53[/C][C]0.8[/C][C]0.53[/C][C]0.27[/C][C]0.27[/C][C]0.53[/C][/ROW]
[C]23[/C][C]0.16[/C][C]0.16[/C][C]1.75[/C][C]1.43[/C][C]2.23[/C][C]2.07[/C][C]1.43[/C][C]1.75[/C][C]1.91[/C][C]1.27[/C][C]1.27[/C][C]0.64[/C][C]0.16[/C][C]0.32[/C][C]0.48[/C][C]0.32[/C][C]0.16[/C][C]0.16[/C][C]0.32[/C][/ROW]
[C]24[/C][C]0.11[/C][C]0.11[/C][C]1.17[/C][C]0.96[/C][C]1.49[/C][C]1.38[/C][C]0.96[/C][C]1.17[/C][C]1.27[/C][C]0.85[/C][C]0.85[/C][C]0.42[/C][C]0.11[/C][C]0.21[/C][C]0.32[/C][C]0.21[/C][C]0.11[/C][C]0.11[/C][C]0.21[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=271012&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=271012&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
STRESS x DEPR
5789101112131415161718192021232426
90.010.010.10.080.120.120.080.10.110.070.070.040.010.020.030.020.010.010.02
110.010.010.10.080.120.120.080.10.110.070.070.040.010.020.030.020.010.010.02
150.010.010.10.080.120.120.080.10.110.070.070.040.010.020.030.020.010.010.02
170.080.080.880.721.121.040.720.880.960.640.640.320.080.160.240.160.080.080.16
180.20.22.241.832.852.651.832.242.441.631.630.810.20.410.610.410.20.20.41
200.160.161.751.432.232.071.431.751.911.271.270.640.160.320.480.320.160.160.32
210.270.272.922.393.723.452.392.923.192.122.121.060.270.530.80.530.270.270.53
230.160.161.751.432.232.071.431.751.911.271.270.640.160.320.480.320.160.160.32
240.110.111.170.961.491.380.961.171.270.850.850.420.110.210.320.210.110.110.21






Statistical Results
Pearson's Chi-squared test
Pearson Chi Square Statistic136.08
Degrees of Freedom144
P value0.67

\begin{tabular}{lllllllll}
\hline
Statistical Results \tabularnewline
Pearson's Chi-squared test \tabularnewline
Pearson Chi Square Statistic & 136.08 \tabularnewline
Degrees of Freedom & 144 \tabularnewline
P value & 0.67 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=271012&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]136.08[/C][/ROW]
[ROW][C]Degrees of Freedom[/C][C]144[/C][/ROW]
[ROW][C]P value[/C][C]0.67[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=271012&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=271012&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
Pearson Chi Square Statistic136.08
Degrees of Freedom144
P value0.67


Figures (Output of Computation)

Input Parameters & R Code

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')