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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 22:05:45 +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/t1289945104x8bc7yvbmdjyrfu.htm/, Retrieved Sun, 05 May 2024 06:25:57 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=96450, Retrieved Sun, 05 May 2024 06:25:57 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact97
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [ECEL 2008] [ECEL2008 hypothes...] [2008-06-14 21:17:24] [74be16979710d4c4e7c6647856088456]
F RMPD  [Chi-Squared and McNemar Tests] [vraag 1: Happines...] [2010-11-11 07:53:21] [9f32078fdcdc094ca748857d5ebdb3de]
F           [Chi-Squared and McNemar Tests] [WS6 Chi-Squared t...] [2010-11-16 22:05:45] [766d4bb4f790a2464f86fcafbf87a680] [Current]
F   P         [Chi-Squared and McNemar Tests] [WS6 Chi-Squared T...] [2010-11-16 22:24:44] [b9f5bf8f9089a40337275cf2fd2f13a1]
F   P         [Chi-Squared and McNemar Tests] [WS6 Chi-Squared T...] [2010-11-16 22:36:15] [b9f5bf8f9089a40337275cf2fd2f13a1]
F   P           [Chi-Squared and McNemar Tests] [WS6 Chi-Squared T...] [2010-11-16 22:45:37] [b9f5bf8f9089a40337275cf2fd2f13a1]
F   P           [Chi-Squared and McNemar Tests] [WS6 Chi-Squared T...] [2010-11-16 22:47:59] [b9f5bf8f9089a40337275cf2fd2f13a1]
Feedback Forum
2010-11-20 10:36:05 [Stefanie Van Esbroeck] [reply
Je maakte een correcte berekening en je paste de factoren 1 en 2 correct aan. Verder gebruikte je de correcte test: de Chi-kwadraat test. Je opteert voor deze test omdat je werkt met de Hi/Lo variabelen.

Je vormt ook een correcte conclusi. Er bestaat inderdaad een verband tussen beide variabelen. Echter, om je conclusie te vormen, kijk je enkel naar de p-waarde en naar het feit of deze groter of kleiner is dan de door jouw opgestelde type 2 fout. Aan je conclusie had je het volgende nog kunnen toevoegen: Als je naar de grafiek kijkt, merk je op dat de blokken allemaal een grijze kleur hebben. Dit wijst erop dat de cellen onderling, geen significante verschillen vertonen. Daarna bekijk je de hoofddiagonaal (van linksboven naar rechtsonder). Daar zien we dat de blokken allemaal naar beneden wijzen. Dit zegt dat de reële frequentie lager is dan de verwachte frequentie (stippellijn). Dan kijken we naar de andere diagonaal (van linksonder naar rechtsboven). Hier zie je dat de blokken allemaal boven de stippellijn liggen wat er dus op wijst dat de reële frequentie hoger ligt dan de verwachte frequentie. Deze twee diagonalen spreken elkaar tegen en dus kunnen we stellen dat er een verband bestaat. Omdat de hoofddiagonaal negatief is (alle blokken wijzen naar beneden). Spreken we van een negatief verband.

Je had ook een verfijnde oplossing kunnen maken. Je doet dit door de data in te geven met A en B’s uit de Excel. In plaats van een gewone Chi-squared-test te gebruiken, gebruik je de “Exact Pearson Chi-squared by simulation”. Je interpreteert die op de zelfde wijze als de grove oplossing. Hieronder kan je een correcte berekening terugvinden van een verfijnde oplossing: http://www.freestatistics.org/blog/index.php?v=date/2010/Nov/18/t1290083384wud1i77335tog0r.htm/.

Post a new message
Dataseries X:
'HI'	'HI'	'LO'	'HI'	'HI'	'HI'	'LO'
'HI'	'LO'	'HI'	'HI'	'HI'	'LO'	'HI'
'LO'	'HI'	'HI'	'HI'	'LO'	'HI'	'LO'
'LO'	'LO'	'LO'	'LO'	'LO'	'HI'	'LO'
'HI'	'HI'	'LO'	'HI'	'HI'	'HI'	'HI'
'HI'	'LO'	'LO'	'LO'	'HI'	'HI'	'HI'
'HI'	'LO'	'HI'	'HI'	'HI'	'HI'	'LO'
'HI'	'HI'	'LO'	'HI'	'HI'	'LO'	'HI'
'HI'	'HI'	'LO'	'HI'	'HI'	'LO'	'HI'
'HI'	'HI'	'LO'	'LO'	'HI'	'HI'	'HI'
'HI'	'LO'	'HI'	'LO'	'HI'	'LO'	'HI'
'HI'	'HI'	'HI'	'HI'	'HI'	'LO'	'LO'
'HI'	'HI'	'HI'	'HI'	'LO'	'HI'	'LO'
'HI'	'HI'	'HI'	'HI'	'HI'	'HI'	'LO'
'LO'	'HI'	'HI'	'HI'	'HI'	'LO'	'HI'
'LO'	'LO'	'LO'	'HI'	'HI'	'HI'	'LO'
'HI'	'LO'	'LO'	'LO'	'HI'	'HI'	'HI'
'HI'	'HI'	'HI'	'HI'	'HI'	'LO'	'HI'
'HI'	'HI'	'HI'	'HI'	'HI'	'LO'	'LO'
'LO'	'LO'	'HI'	'HI'	'HI'	'HI'	'LO'
'LO'	'LO'	'HI'	'HI'	'HI'	'LO'	'LO'
'LO'	'LO'	'HI'	'HI'	'LO'	'HI'	'LO'
'HI'	'HI'	'HI'	'HI'	'HI'	'HI'	'LO'
'HI'	'HI'	'HI'	'HI'	'LO'	'HI'	'LO'
'HI'	'LO'	'HI'	'LO'	'HI'	'LO'	'HI'
'HI'	'LO'	'HI'	'HI'	'LO'	'LO'	'HI'
'HI'	'HI'	'HI'	'LO'	'HI'	'LO'	'HI'
'LO'	'HI'	'LO'	'HI'	'HI'	'HI'	'LO'
'LO'	'LO'	'HI'	'HI'	'HI'	'HI'	'HI'
'HI'	'LO'	'LO'	'LO'	'LO'	'HI'	'LO'
'LO'	'LO'	'LO'	'HI'	'HI'	'LO'	'HI'
'LO'	'LO'	'LO'	'LO'	'LO'	'HI'	'LO'
'HI'	'LO'	'LO'	'LO'	'HI'	'LO'	'LO'
'HI'	'HI'	'HI'	'HI'	'HI'	'LO'	'HI'
'HI'	'LO'	'LO'	'HI'	'HI'	'HI'	'HI'
'LO'	'LO'	'LO'	'LO'	'HI'	'LO'	'LO'
'LO'	'LO'	'LO'	'LO'	'LO'	'HI'	'LO'
'HI'	'LO'	'LO'	'HI'	'HI'	'HI'	'LO'
'LO'	'LO'	'HI'	'LO'	'HI'	'LO'	'HI'
'HI'	'LO'	'HI'	'LO'	'LO'	'LO'	'LO'
'HI'	'LO'	'HI'	'LO'	'HI'	'LO'	'HI'
'HI'	'LO'	'LO'	'HI'	'HI'	'HI'	'HI'
'HI'	'LO'	'HI'	'HI'	'HI'	'LO'	'LO'
'HI'	'LO'	'LO'	'LO'	'LO'	'HI'	'LO'
'HI'	'LO'	'LO'	'LO'	'LO'	'LO'	'LO'
'HI'	'HI'	'LO'	'HI'	'LO'	'HI'	'LO'
'HI'	'HI'	'LO'	'HI'	'HI'	'LO'	'LO'
'LO'	'HI'	'LO'	'HI'	'HI'	'LO'	'HI'
'HI'	'HI'	'HI'	'HI'	'HI'	'HI'	'HI'
'HI'	'LO'	'LO'	'HI'	'LO'	'LO'	'HI'
'LO'	'HI'	'HI'	'HI'	'HI'	'LO'	'LO'
'LO'	'LO'	'LO'	'LO'	'HI'	'HI'	'LO'
'LO'	'LO'	'LO'	'HI'	'LO'	'HI'	'LO'
'HI'	'HI'	'HI'	'HI'	'LO'	'HI'	'LO'
'LO'	'LO'	'LO'	'LO'	'LO'	'LO'	'LO'
'HI'	'LO'	'LO'	'LO'	'HI'	'HI'	'HI'
'HI'	'HI'	'HI'	'HI'	'HI'	'HI'	'HI'
'LO'	'HI'	'HI'	'HI'	'HI'	'LO'	'LO'
'HI'	'HI'	'LO'	'HI'	'LO'	'LO'	'HI'
'HI'	'HI'	'HI'	'LO'	'LO'	'HI'	'LO'
'LO'	'LO'	'LO'	'LO'	'LO'	'HI'	'LO'
'HI'	'HI'	'HI'	'HI'	'LO'	'HI'	'HI'
'HI'	'HI'	'HI'	'HI'	'LO'	'HI'	'HI'
'LO'	'HI'	'LO'	'HI'	'HI'	'HI'	'LO'
'HI'	'LO'	'HI'	'HI'	'HI'	'HI'	'LO'
'HI'	'HI'	'HI'	'HI'	'LO'	'LO'	'HI'
'HI'	'HI'	'HI'	'HI'	'LO'	'HI'	'LO'
'LO'	'LO'	'HI'	'HI'	'LO'	'HI'	'HI'
'HI'	'HI'	'LO'	'HI'	'HI'	'HI'	'LO'
'HI'	'HI'	'HI'	'HI'	'HI'	'HI'	'LO'
'HI'	'HI'	'LO'	'LO'	'HI'	'HI'	'LO'
'LO'	'HI'	'LO'	'HI'	'HI'	'HI'	'LO'
'HI'	'HI'	'HI'	'HI'	'HI'	'HI'	'HI'
'HI'	'HI'	'HI'	'HI'	'HI'	'LO'	'LO'
'HI'	'LO'	'HI'	'HI'	'LO'	'LO'	'HI'
'HI'	'LO'	'HI'	'LO'	'LO'	'HI'	'HI'
'HI'	'HI'	'HI'	'HI'	'HI'	'HI'	'LO'
'HI'	'LO'	'HI'	'HI'	'LO'	'HI'	'LO'
'LO'	'LO'	'LO'	'HI'	'HI'	'HI'	'HI'
'HI'	'LO'	'HI'	'HI'	'LO'	'LO'	'LO'
'LO'	'HI'	'HI'	'HI'	'HI'	'LO'	'HI'
'HI'	'HI'	'HI'	'HI'	'HI'	'LO'	'LO'
'HI'	'HI'	'HI'	'HI'	'HI'	'LO'	'LO'
'HI'	'LO'	'LO'	'HI'	'HI'	'HI'	'HI'
'LO'	'HI'	'LO'	'HI'	'HI'	'HI'	'LO'
'LO'	'LO'	'HI'	'LO'	'HI'	'HI'	'HI'
'HI'	'HI'	'LO'	'LO'	'HI'	'HI'	'HI'
'LO'	'HI'	'HI'	'HI'	'HI'	'HI'	'LO'
'LO'	'LO'	'HI'	'HI'	'LO'	'HI'	'LO'
'LO'	'LO'	'LO'	'HI'	'LO'	'HI'	'LO'
'LO'	'HI'	'LO'	'LO'	'HI'	'HI'	'HI'
'HI'	'LO'	'HI'	'HI'	'LO'	'HI'	'LO'
'HI'	'HI'	'HI'	'HI'	'HI'	'HI'	'HI'
'LO'	'LO'	'LO'	'HI'	'HI'	'HI'	'HI'
'LO'	'LO'	'LO'	'HI'	'LO'	'LO'	'HI'
'HI'	'HI'	'HI'	'LO'	'HI'	'LO'	'HI'
'HI'	'HI'	'HI'	'HI'	'LO'	'HI'	'LO'
'HI'	'LO'	'HI'	'LO'	'HI'	'LO'	'HI'
'HI'	'HI'	'HI'	'HI'	'HI'	'LO'	'HI'
'LO'	'HI'	'LO'	'LO'	'HI'	'LO'	'HI'
'HI'	'HI'	'HI'	'HI'	'HI'	'LO'	'HI'
'HI'	'HI'	'HI'	'HI'	'LO'	'HI'	'HI'
'HI'	'HI'	'HI'	'HI'	'HI'	'HI'	'HI'
'LO'	'LO'	'LO'	'HI'	'LO'	'LO'	'LO'
'LO'	'HI'	'HI'	'HI'	'HI'	'HI'	'HI'
'HI'	'LO'	'LO'	'HI'	'LO'	'HI'	'LO'
'HI'	'HI'	'HI'	'HI'	'HI'	'LO'	'HI'
'HI'	'HI'	'HI'	'HI'	'HI'	'HI'	'LO'
'HI'	'HI'	'HI'	'HI'	'LO'	'HI'	'LO'
'HI'	'HI'	'LO'	'LO'	'LO'	'HI'	'LO'
'LO'	'HI'	'HI'	'HI'	'HI'	'HI'	'HI'
'LO'	'LO'	'HI'	'HI'	'LO'	'HI'	'HI'
'LO'	'HI'	'HI'	'HI'	'LO'	'LO'	'HI'
'LO'	'LO'	'LO'	'HI'	'HI'	'HI'	'LO'
'HI'	'HI'	'LO'	'LO'	'HI'	'HI'	'HI'
'HI'	'LO'	'HI'	'HI'	'HI'	'LO'	'HI'
'LO'	'HI'	'LO'	'HI'	'HI'	'HI'	'LO'
'HI'	'HI'	'LO'	'LO'	'HI'	'HI'	'LO'
'LO'	'HI'	'LO'	'HI'	'HI'	'LO'	'LO'
'HI'	'HI'	'HI'	'HI'	'HI'	'HI'	'HI'
'LO'	'HI'	'LO'	'HI'	'LO'	'HI'	'LO'
'LO'	'LO'	'HI'	'HI'	'HI'	'HI'	'HI'
'HI'	'HI'	'LO'	'HI'	'HI'	'LO'	'HI'
'HI'	'HI'	'HI'	'HI'	'HI'	'LO'	'HI'
'LO'	'LO'	'LO'	'HI'	'HI'	'LO'	'HI'
'LO'	'LO'	'HI'	'HI'	'LO'	'LO'	'HI'
'HI'	'LO'	'LO'	'LO'	'HI'	'LO'	'HI'
'HI'	'HI'	'HI'	'HI'	'HI'	'LO'	'HI'
'LO'	'HI'	'LO'	'LO'	'HI'	'LO'	'HI'
'HI'	'LO'	'LO'	'HI'	'HI'	'HI'	'LO'
'LO'	'LO'	'HI'	'LO'	'LO'	'LO'	'LO'
'LO'	'LO'	'LO'	'HI'	'LO'	'HI'	'LO'
'HI'	'HI'	'HI'	'LO'	'HI'	'LO'	'HI'
'LO'	'LO'	'LO'	'HI'	'HI'	'HI'	'LO'
'HI'	'HI'	'LO'	'HI'	'HI'	'HI'	'HI'
'LO'	'LO'	'LO'	'HI'	'HI'	'HI'	'HI'
'LO'	'LO'	'LO'	'LO'	'LO'	'HI'	'LO'
'HI'	'HI'	'LO'	'HI'	'HI'	'HI'	'LO'
'LO'	'HI'	'LO'	'LO'	'LO'	'HI'	'LO'
'HI'	'HI'	'LO'	'LO'	'HI'	'LO'	'LO'
'LO'	'HI'	'LO'	'LO'	'LO'	'HI'	'LO'
'LO'	'HI'	'HI'	'LO'	'HI'	'LO'	'LO'
'LO'	'HI'	'LO'	'LO'	'HI'	'HI'	'HI'
'LO'	'HI'	'HI'	'HI'	'HI'	'HI'	'HI'
'LO'	'LO'	'HI'	'HI'	'HI'	'HI'	'HI'
'HI'	'LO'	'LO'	'LO'	'HI'	'LO'	'HI'
'LO'	'LO'	'HI'	'HI'	'HI'	'HI'	'HI'
'HI'	'HI'	'LO'	'HI'	'LO'	'HI'	'LO'
'LO'	'LO'	'HI'	'HI'	'LO'	'LO'	'HI'
'HI'	'LO'	'LO'	'LO'	'LO'	'HI'	'HI'
'HI'	'HI'	'LO'	'LO'	'HI'	'HI'	'HI'
'HI'	'HI'	'LO'	'HI'	'LO'	'HI'	'HI'
'HI'	'HI'	'HI'	'LO'	'HI'	'LO'	'LO'
'HI'	'HI'	'HI'	'LO'	'LO'	'HI'	'LO'
'HI'	'HI'	'LO'	'LO'	'LO'	'HI'	'LO'
'LO'	'LO'	'LO'	'LO'	'LO'	'HI'	'HI'
'HI'	'LO'	'HI'	'HI'	'LO'	'HI'	'LO'
'LO'	'HI'	'LO'	'LO'	'HI'	'HI'	'LO'
'LO'	'HI'	'LO'	'LO'	'HI'	'LO'	'HI'
'HI'	'LO'	'HI'	'HI'	'LO'	'LO'	'HI'
'LO'	'HI'	'LO'	'LO'	'LO'	'HI'	'HI'
'HI'	'HI'	'LO'	'LO'	'LO'	'HI'	'LO'




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 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 & 3 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=96450&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]3 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=96450&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=96450&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 time3 seconds
R Server'George Udny Yule' @ 72.249.76.132







Tabulation of Results
Happiness x Depression
HILO
HI5746
LO4316

\begin{tabular}{lllllllll}
\hline
Tabulation of Results \tabularnewline
Happiness  x  Depression \tabularnewline
  & HI & LO \tabularnewline
HI & 57 & 46 \tabularnewline
LO & 43 & 16 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=96450&T=1

[TABLE]
[ROW][C]Tabulation of Results[/C][/ROW]
[ROW][C]Happiness  x  Depression[/C][/ROW]
[ROW][C] [/C][C]HI[/C][C]LO[/C][/ROW]
[C]HI[/C][C]57[/C][C]46[/C][/ROW]
[C]LO[/C][C]43[/C][C]16[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=96450&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=96450&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
HILO
HI5746
LO4316







Tabulation of Expected Results
Happiness x Depression
HILO
HI63.5839.42
LO36.4222.58

\begin{tabular}{lllllllll}
\hline
Tabulation of Expected Results \tabularnewline
Happiness  x  Depression \tabularnewline
  & HI & LO \tabularnewline
HI & 63.58 & 39.42 \tabularnewline
LO & 36.42 & 22.58 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=96450&T=2

[TABLE]
[ROW][C]Tabulation of Expected Results[/C][/ROW]
[ROW][C]Happiness  x  Depression[/C][/ROW]
[ROW][C] [/C][C]HI[/C][C]LO[/C][/ROW]
[C]HI[/C][C]63.58[/C][C]39.42[/C][/ROW]
[C]LO[/C][C]36.42[/C][C]22.58[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=96450&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=96450&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
HILO
HI63.5839.42
LO36.4222.58







Statistical Results
Pearson's Chi-squared test with Yates' continuity correction
Chi Square Statistic4.17
Degrees of Freedom1
P value0.04

\begin{tabular}{lllllllll}
\hline
Statistical Results \tabularnewline
Pearson's Chi-squared test with Yates' continuity correction \tabularnewline
Chi Square Statistic & 4.17 \tabularnewline
Degrees of Freedom & 1 \tabularnewline
P value & 0.04 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=96450&T=3

[TABLE]
[ROW][C]Statistical Results[/C][/ROW]
[ROW][C]Pearson's Chi-squared test with Yates' continuity correction[/C][/ROW]
[ROW][C]Chi Square Statistic[/C][C]4.17[/C][/ROW]
[ROW][C]Degrees of Freedom[/C][C]1[/C][/ROW]
[ROW][C]P value[/C][C]0.04[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=96450&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=96450&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 Yates' continuity correction
Chi Square Statistic4.17
Degrees of Freedom1
P value0.04



Parameters (Session):
par1 = 5 ; par2 = 6 ; par3 = Pearson Chi-Squared ;
Parameters (R input):
par1 = 5 ; par2 = 6 ; 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 != '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')