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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_chi_squared_tests.wasp
Title produced by softwareChi-Squared and McNemar Tests
Date of computationTue, 16 Nov 2010 14:33:59 +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/2010/Nov/16/t12899180147z4s8af2fqyoh7x.htm/, Retrieved Mon, 15 Apr 2024 14:51:30 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=95849, Retrieved Mon, 15 Apr 2024 14:51:30 +0000
QR Codes:

Original text written by user:
IsPrivate?This computation is/was private until 2010-11-17
User-defined keywords
Estimated Impact840
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Chi-Squared and McNemar Tests] [] [2010-11-16 14:33:59] [d76b387543b13b5e3afd8ff9e5fdc89f] [Current]
-         [Chi-Squared and McNemar Tests] [happiness vs depr...] [2010-11-20 18:26:39] [8214fe6d084e5ad7598b249a26cc9f06]
-   P     [Chi-Squared and McNemar Tests] [] [2010-11-23 14:17:03] [0ed8ad64bdfc801eaa95d5097964fc04]
-   P       [Chi-Squared and McNemar Tests] [Happiness vs depr...] [2010-11-26 10:42:24] [7c2d060fd17a41a80970d273bf259e67]
F   PD    [Chi-Squared and McNemar Tests] [] [2010-11-23 16:11:00] [adca540665f1dd1a5a4406fd7f55bdf4]
- RMPD    [] [] [-0001-11-30 00:00:00] [adca540665f1dd1a5a4406fd7f55bdf4]
F   PD    [Chi-Squared and McNemar Tests] [] [2010-11-23 17:14:12] [adca540665f1dd1a5a4406fd7f55bdf4]
-   PD    [Chi-Squared and McNemar Tests] [] [2010-11-23 17:14:12] [adca540665f1dd1a5a4406fd7f55bdf4]
F   PD    [Chi-Squared and McNemar Tests] [] [2010-11-23 17:40:36] [adca540665f1dd1a5a4406fd7f55bdf4]
F   PD    [Chi-Squared and McNemar Tests] [] [2010-11-23 17:44:12] [adca540665f1dd1a5a4406fd7f55bdf4]
F   PD    [Chi-Squared and McNemar Tests] [] [2010-11-23 17:45:27] [adca540665f1dd1a5a4406fd7f55bdf4]
F   PD    [Chi-Squared and McNemar Tests] [] [2010-11-23 17:46:13] [adca540665f1dd1a5a4406fd7f55bdf4]
F   PD    [Chi-Squared and McNemar Tests] [] [2010-11-23 17:47:03] [adca540665f1dd1a5a4406fd7f55bdf4]
F   PD    [Chi-Squared and McNemar Tests] [] [2010-11-23 17:49:08] [adca540665f1dd1a5a4406fd7f55bdf4]
F   PD    [Chi-Squared and McNemar Tests] [] [2010-11-23 17:50:08] [adca540665f1dd1a5a4406fd7f55bdf4]
F   PD    [Chi-Squared and McNemar Tests] [] [2010-11-23 17:51:17] [adca540665f1dd1a5a4406fd7f55bdf4]
F   PD    [Chi-Squared and McNemar Tests] [] [2010-11-23 17:52:25] [adca540665f1dd1a5a4406fd7f55bdf4]
F   PD    [Chi-Squared and McNemar Tests] [] [2010-11-23 17:53:16] [adca540665f1dd1a5a4406fd7f55bdf4]
-         [Chi-Squared and McNemar Tests] [Happiness & Depre...] [2010-11-24 08:59:56] [4f1a20f787b3465111b61213cdeef1a9]
-           [Chi-Squared and McNemar Tests] [] [2010-11-26 05:46:33] [9f0fea5f96e3630b8f903250153d0968]
-         [Chi-Squared and McNemar Tests] [Workshop 3] [2010-11-24 10:48:51] [29e492448d11757ae0fad5ef6e7f8e86]
-         [Chi-Squared and McNemar Tests] [Workshop 6 Hap vs...] [2010-11-24 11:27:10] [a48e3f697f1471e9c9650f8bf805cc06]
-   P       [Chi-Squared and McNemar Tests] [Workshop 6 Hap vs...] [2010-11-24 12:36:20] [a48e3f697f1471e9c9650f8bf805cc06]
-   P         [Chi-Squared and McNemar Tests] [Workshop 6 Hap vs...] [2010-11-24 12:38:23] [a48e3f697f1471e9c9650f8bf805cc06]
-   P           [Chi-Squared and McNemar Tests] [Workshop 6 Dep vs...] [2010-11-24 12:42:09] [a48e3f697f1471e9c9650f8bf805cc06]
-   P             [Chi-Squared and McNemar Tests] [Workshop 6 Dep vs...] [2010-11-24 12:44:35] [a48e3f697f1471e9c9650f8bf805cc06]
-   P               [Chi-Squared and McNemar Tests] [Workshop 6 Con vs...] [2010-11-24 12:47:15] [a48e3f697f1471e9c9650f8bf805cc06]
-   P     [Chi-Squared and McNemar Tests] [] [2010-11-24 22:02:55] [42f9a5501cee5cbc9edf1c0ec1f66440]
F R       [Chi-Squared and McNemar Tests] [] [2010-11-25 14:19:08] [69c775ce4d55db2aa75a88e773e8d700]
-   P     [Chi-Squared and McNemar Tests] [] [2010-11-25 20:12:29] [42f9a5501cee5cbc9edf1c0ec1f66440]
-   P     [Chi-Squared and McNemar Tests] [] [2010-11-25 20:37:32] [42f9a5501cee5cbc9edf1c0ec1f66440]
-   P     [Chi-Squared and McNemar Tests] [] [2010-11-25 20:57:14] [42f9a5501cee5cbc9edf1c0ec1f66440]
-   P     [Chi-Squared and McNemar Tests] [] [2010-11-25 21:11:54] [42f9a5501cee5cbc9edf1c0ec1f66440]
-   P     [Chi-Squared and McNemar Tests] [] [2010-11-25 21:24:18] [42f9a5501cee5cbc9edf1c0ec1f66440]
-         [Chi-Squared and McNemar Tests] [ws3a1] [2010-11-26 07:21:47] [c4f608d390ad7371b1365a9b84541edb]
-   PD    [Chi-Squared and McNemar Tests] [verband tussen "o...] [2010-11-27 12:48:56] [f730b099f190102bcd41f590a8dae16d]
-   PD      [Chi-Squared and McNemar Tests] [popularity and us...] [2010-11-29 19:47:33] [f730b099f190102bcd41f590a8dae16d]
-   PD      [Chi-Squared and McNemar Tests] [popularity and cr...] [2010-11-29 20:04:52] [f730b099f190102bcd41f590a8dae16d]
-   PD    [Chi-Squared and McNemar Tests] [verband "populari...] [2010-11-27 13:05:00] [f730b099f190102bcd41f590a8dae16d]
-   PD    [Chi-Squared and McNemar Tests] [Chi-squared] [2010-11-30 10:12:34] [c1605865773cc027e55b238d879a644c]
-    D      [Chi-Squared and McNemar Tests] [chi-squared high ...] [2010-11-30 10:47:26] [c1605865773cc027e55b238d879a644c]
-             [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [Chi-squared test ...] [2010-12-18 13:53:35] [d7a673bc47e3999e70f4e1e2276e5189]
-           [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [Chi-squared test ...] [2010-12-18 13:43:23] [d7a673bc47e3999e70f4e1e2276e5189]
-   PD    [Chi-Squared and McNemar Tests] [Chi-Squared: uitvoer] [2010-11-30 10:15:01] [62f7c80c4d96454bbd2b2b026ea9aad9]
-           [Chi-Squared and McNemar Tests] [Chi-squared: uitv...] [2010-12-07 20:46:56] [62f7c80c4d96454bbd2b2b026ea9aad9]
-           [Chi-Squared and McNemar Tests] [Chi-squared: uitv...] [2010-12-07 20:46:56] [62f7c80c4d96454bbd2b2b026ea9aad9]
-    D      [Chi-Squared and McNemar Tests] [Chi-squared: High...] [2010-12-07 21:16:11] [62f7c80c4d96454bbd2b2b026ea9aad9]
-   PD    [Chi-Squared and McNemar Tests] [Paper: Chi-kwadra...] [2010-12-12 19:14:41] [1fd136673b2a4fecb5c545b9b4a05d64]
- RMPD    [Paired and Unpaired Two Samples Tests about the Mean] [Paper Tweezijdige...] [2010-12-17 14:49:08] [814f53995537cd15c528d8efbf1cf544]

[Truncated]
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Dataseries X:
'A'	'A'	'D'	'A'	'B'	'B'
'A'	'C'	'A'	'B'	'A'	'C'
'D'	'B'	'A'	'A'	'D'	'A'
'D'	'C'	'C'	'D'	'D'	'B'
'B'	'A'	'C'	'A'	'A'	'A'
'B'	'D'	'D'	'C'	'A'	'B'
'A'	'D'	'A'	'A'	'B'	'A'
'B'	'B'	'C'	'A'	'B'	'C'
'B'	'B'	'C'	'A'	'B'	'D'
'A'	'A'	'C'	'D'	'B'	'B'
'A'	'D'	'A'	'C'	'A'	'D'
'B'	'B'	'A'	'A'	'A'	'D'
'A'	'B'	'A'	'A'	'D'	'A'
'A'	'A'	'A'	'B'	'A'	'A'
'C'	'A'	'A'	'A'	'A'	'D'
'C'	'C'	'C'	'A'	'B'	'A'
'B'	'C'	'C'	'C'	'B'	'A'
'A'	'A'	'A'	'A'	'A'	'C'
'A'	'A'	'A'	'B'	'B'	'D'
'C'	'C'	'A'	'A'	'A'	'B'
'C'	'C'	'A'	'B'	'A'	'D'
'D'	'D'	'A'	'A'	'D'	'A'
'A'	'A'	'A'	'A'	'B'	'B'
'A'	'A'	'A'	'B'	'D'	'A'
'A'	'C'	'A'	'D'	'A'	'C'
'A'	'C'	'A'	'A'	'D'	'D'
'B'	'B'	'A'	'C'	'A'	'C'
'C'	'A'	'C'	'A'	'B'	'A'
'C'	'C'	'A'	'A'	'B'	'A'
'B'	'C'	'C'	'C'	'D'	'B'
'D'	'D'	'C'	'A'	'A'	'D'
'D'	'C'	'D'	'D'	'C'	'A'
'A'	'D'	'C'	'C'	'A'	'D'
'B'	'A'	'A'	'A'	'B'	'C'
'B'	'D'	'C'	'A'	'B'	'B'
'C'	'C'	'D'	'D'	'A'	'D'
'D'	'D'	'D'	'D'	'D'	'A'
'B'	'C'	'C'	'A'	'B'	'B'
'D'	'D'	'A'	'C'	'A'	'D'
'B'	'C'	'A'	'C'	'C'	'D'
'A'	'C'	'A'	'C'	'B'	'D'
'B'	'C'	'C'	'A'	'A'	'A'
'A'	'C'	'A'	'A'	'A'	'D'
'B'	'C'	'C'	'C'	'D'	'A'
'A'	'D'	'C'	'C'	'D'	'C'
'A'	'B'	'D'	'A'	'D'	'B'
'A'	'A'	'C'	'A'	'B'	'D'
'C'	'B'	'C'	'B'	'B'	'C'
'B'	'A'	'A'	'B'	'A'	'A'
'A'	'C'	'C'	'A'	'C'	'C'
'C'	'A'	'A'	'A'	'A'	'D'
'C'	'D'	'C'	'C'	'B'	'A'
'C'	'C'	'D'	'A'	'D'	'A'
'B'	'A'	'A'	'A'	'D'	'A'
'C'	'C'	'D'	'D'	'D'	'C'
'A'	'C'	'C'	'D'	'B'	'B'
'A'	'B'	'A'	'A'	'A'	'B'
'D'	'B'	'A'	'A'	'B'	'D'
'A'	'B'	'C'	'B'	'D'	'D'
'B'	'B'	'A'	'C'	'D'	'A'
'D'	'D'	'D'	'D'	'D'	'A'
'A'	'B'	'A'	'A'	'C'	'B'
'B'	'B'	'A'	'A'	'D'	'B'
'D'	'B'	'C'	'B'	'B'	'A'
'B'	'D'	'A'	'A'	'B'	'B'
'B'	'A'	'A'	'A'	'D'	'C'
'B'	'B'	'A'	'A'	'D'	'A'
'D'	'D'	'A'	'B'	'D'	'B'
'A'	'A'	'D'	'A'	'B'	'B'
'B'	'A'	'A'	'A'	'B'	'A'
'A'	'B'	'D'	'D'	'B'	'B'
'D'	'A'	'C'	'B'	'A'	'A'
'B'	'A'	'A'	'A'	'B'	'B'
'A'	'A'	'A'	'A'	'B'	'D'
'B'	'D'	'A'	'A'	'C'	'C'
'A'	'D'	'A'	'D'	'D'	'A'
'A'	'A'	'A'	'A'	'A'	'B'
'B'	'D'	'A'	'B'	'C'	'A'
'D'	'D'	'D'	'A'	'B'	'B'
'A'	'D'	'A'	'A'	'C'	'D'
'C'	'B'	'A'	'A'	'B'	'C'
'A'	'A'	'A'	'A'	'A'	'D'
'B'	'A'	'A'	'A'	'B'	'D'
'A'	'C'	'C'	'A'	'A'	'B'
'C'	'B'	'C'	'B'	'B'	'B'
'C'	'D'	'A'	'C'	'B'	'B'
'A'	'A'	'C'	'D'	'B'	'B'
'C'	'B'	'A'	'A'	'B'	'B'
'D'	'C'	'A'	'A'	'C'	'A'
'C'	'C'	'C'	'A'	'D'	'A'
'D'	'B'	'D'	'D'	'A'	'B'
'B'	'C'	'A'	'A'	'C'	'A'
'B'	'A'	'A'	'A'	'B'	'B'
'C'	'D'	'C'	'A'	'B'	'A'
'D'	'D'	'D'	'A'	'C'	'D'
'A'	'B'	'A'	'C'	'A'	'C'
'A'	'B'	'A'	'A'	'D'	'A'
'B'	'D'	'A'	'D'	'B'	'C'
'A'	'B'	'A'	'A'	'A'	'C'
'C'	'B'	'C'	'C'	'B'	'D'
'A'	'B'	'A'	'A'	'A'	'D'
'A'	'B'	'A'	'B'	'D'	'A'
'B'	'A'	'A'	'A'	'A'	'B'
'C'	'D'	'C'	'B'	'D'	'C'
'C'	'A'	'A'	'B'	'B'	'A'
'A'	'C'	'D'	'A'	'D'	'A'
'A'	'B'	'A'	'A'	'A'	'C'
'A'	'A'	'A'	'A'	'B'	'A'
'B'	'B'	'A'	'B'	'D'	'A'
'A'	'A'	'D'	'D'	'D'	'A'
'D'	'B'	'A'	'A'	'B'	'A'
'D'	'C'	'A'	'A'	'D'	'A'
'C'	'A'	'A'	'B'	'C'	'C'
'C'	'C'	'D'	'B'	'B'	'A'
'A'	'B'	'D'	'C'	'A'	'B'
'A'	'C'	'A'	'A'	'A'	'D'
'C'	'A'	'C'	'A'	'B'	'A'
'B'	'A'	'C'	'D'	'B'	'B'
'C'	'B'	'D'	'B'	'B'	'D'
'A'	'B'	'A'	'A'	'B'	'A'
'C'	'A'	'D'	'B'	'D'	'A'
'D'	'D'	'A'	'A'	'B'	'A'
'A'	'A'	'D'	'A'	'B'	'C'
'A'	'A'	'A'	'A'	'B'	'D'
'C'	'D'	'C'	'A'	'B'	'C'
'D'	'C'	'A'	'A'	'C'	'C'
'A'	'C'	'C'	'C'	'A'	'D'
'A'	'A'	'A'	'B'	'A'	'D'
'C'	'B'	'C'	'D'	'A'	'C'
'B'	'C'	'D'	'B'	'B'	'B'
'C'	'C'	'A'	'C'	'C'	'C'
'D'	'C'	'D'	'B'	'D'	'A'
'A'	'A'	'A'	'D'	'B'	'D'
'D'	'D'	'D'	'B'	'B'	'A'
'A'	'A'	'C'	'A'	'B'	'B'
'C'	'D'	'C'	'A'	'A'	'A'
'D'	'D'	'D'	'D'	'D'	'A'
'B'	'B'	'C'	'B'	'B'	'A'
'D'	'B'	'D'	'C'	'D'	'A'
'B'	'B'	'D'	'D'	'B'	'C'
'D'	'B'	'D'	'D'	'C'	'B'
'C'	'B'	'A'	'D'	'B'	'D'
'D'	'B'	'C'	'D'	'A'	'A'
'D'	'B'	'A'	'A'	'B'	'B'
'D'	'D'	'A'	'B'	'B'	'B'
'A'	'D'	'D'	'D'	'A'	'C'
'C'	'D'	'A'	'A'	'A'	'B'
'B'	'B'	'D'	'A'	'D'	'B'
'C'	'D'	'A'	'A'	'D'	'C'
'B'	'C'	'D'	'D'	'D'	'A'
'A'	'A'	'D'	'D'	'A'	'B'
'A'	'A'	'C'	'A'	'C'	'A'
'B'	'A'	'A'	'D'	'A'	'D'
'B'	'A'	'A'	'D'	'D'	'B'
'B'	'B'	'C'	'D'	'D'	'A'
'C'	'D'	'D'	'D'	'C'	'A'
'B'	'C'	'A'	'A'	'C'	'A'
'C'	'A'	'D'	'D'	'B'	'A'
'C'	'B'	'C'	'D'	'A'	'C'
'B'	'C'	'A'	'B'	'C'	'D'
'C'	'B'	'D'	'D'	'D'	'A'
'B'	'B'	'D'	'D'	'C'	'A'




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=95849&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=95849&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=95849&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'George Udny Yule' @ 72.249.76.132







Tabulation of Results
Happiness x Depression
ABCD
A7101016
B1921812
C8254
D26752

\begin{tabular}{lllllllll}
\hline
Tabulation of Results \tabularnewline
Happiness  x  Depression \tabularnewline
  & A & B & C & D \tabularnewline
A & 7 & 10 & 10 & 16 \tabularnewline
B & 19 & 21 & 8 & 12 \tabularnewline
C & 8 & 2 & 5 & 4 \tabularnewline
D & 26 & 7 & 5 & 2 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=95849&T=1

[TABLE]
[ROW][C]Tabulation of Results[/C][/ROW]
[ROW][C]Happiness  x  Depression[/C][/ROW]
[ROW][C] [/C][C]A[/C][C]B[/C][C]C[/C][C]D[/C][/ROW]
[C]A[/C][C]7[/C][C]10[/C][C]10[/C][C]16[/C][/ROW]
[C]B[/C][C]19[/C][C]21[/C][C]8[/C][C]12[/C][/ROW]
[C]C[/C][C]8[/C][C]2[/C][C]5[/C][C]4[/C][/ROW]
[C]D[/C][C]26[/C][C]7[/C][C]5[/C][C]2[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=95849&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=95849&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
Happiness x Depression
ABCD
A7101016
B1921812
C8254
D26752







Tabulation of Expected Results
Happiness x Depression
ABCD
A15.9310.627.439.02
B22.2214.8110.3712.59
C7.044.693.283.99
D14.819.886.918.4

\begin{tabular}{lllllllll}
\hline
Tabulation of Expected Results \tabularnewline
Happiness  x  Depression \tabularnewline
  & A & B & C & D \tabularnewline
A & 15.93 & 10.62 & 7.43 & 9.02 \tabularnewline
B & 22.22 & 14.81 & 10.37 & 12.59 \tabularnewline
C & 7.04 & 4.69 & 3.28 & 3.99 \tabularnewline
D & 14.81 & 9.88 & 6.91 & 8.4 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=95849&T=2

[TABLE]
[ROW][C]Tabulation of Expected Results[/C][/ROW]
[ROW][C]Happiness  x  Depression[/C][/ROW]
[ROW][C] [/C][C]A[/C][C]B[/C][C]C[/C][C]D[/C][/ROW]
[C]A[/C][C]15.93[/C][C]10.62[/C][C]7.43[/C][C]9.02[/C][/ROW]
[C]B[/C][C]22.22[/C][C]14.81[/C][C]10.37[/C][C]12.59[/C][/ROW]
[C]C[/C][C]7.04[/C][C]4.69[/C][C]3.28[/C][C]3.99[/C][/ROW]
[C]D[/C][C]14.81[/C][C]9.88[/C][C]6.91[/C][C]8.4[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=95849&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=95849&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
Happiness x Depression
ABCD
A15.9310.627.439.02
B22.2214.8110.3712.59
C7.044.693.283.99
D14.819.886.918.4







Statistical Results
Pearson's Chi-squared test with simulated p-value (based on 2000 replicates)
Chi Square Statistic32.19
P value0

\begin{tabular}{lllllllll}
\hline
Statistical Results \tabularnewline
Pearson's Chi-squared test with simulated p-value
	 (based on 2000 replicates) \tabularnewline
Chi Square Statistic & 32.19 \tabularnewline
P value & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=95849&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]Chi Square Statistic[/C][C]32.19[/C][/ROW]
[ROW][C]P value[/C][C]0[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=95849&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=95849&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)
Chi Square Statistic32.19
P value0



Parameters (Session):
par1 = 5 ; par2 = 6 ; par3 = Exact Pearson Chi-Squared by Simulation ;
Parameters (R input):
par1 = 5 ; par2 = 6 ; 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 != 'McNemar Chi-Squared') {
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)
a<-table.element(a, 'Chi Square Statistic', 1, TRUE)
a<-table.element(a, round(cst$statistic, digits=2), 1,FALSE)
a<-table.row.end(a)
if(!simulate.p.value){
a<-table.row.start(a)
a<-table.element(a, 'Degrees of Freedom', 1, TRUE)
a<-table.element(a, cst$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')