Dear Martin,

The anova() function computes sequential (sometimes called "type-I") tests;
I'm not sure what Jmp does by default, but either "type-II" or "type-III"
tests would produce these results for a model of this structure. See the
Anova() function in the car package for "type-II" and "III" tests.

I hope this helps,
 John

--------------------------------
John Fox
Department of Sociology
McMaster University
Hamilton, Ontario
Canada L8S 4M4
905-525-9140x23604
http://socserv.mcmaster.ca/jfox 
-------------------------------- 

> -----Original Message-----
> From: [EMAIL PROTECTED] 
> [mailto:[EMAIL PROTECTED] On Behalf Of Martin Julien
> Sent: Tuesday, January 17, 2006 3:34 PM
> To: r-help@stat.math.ethz.ch
> Subject: [R] Anova problem with order of terms in model
> 
> Hi
> I have a linear model and I want to tests whether the model 
> terms are significant I used anova but F and P value depend 
> on the order of the terms in the model.
> I have repeated the same analysis in another stat software 
> and F and P value did not differ with order of terms in the model.
> Can anyone can explain what happen or what am I doing wrong ?
> 
> In R
> > anova (lm(Y~X.1+X.2))
> Analysis of Variance Table
> Response: Y
>               Df      Sum Sq          Mean Sq F value         Pr(>F)
> X.1           1       4.0351          4.0351          6.5187
> 0.01852
> X.2           1       0.5903          0.5903          0.9537
> 0.33991
> Residuals     21      12.9991         0.619
> 
> > anova (lm(Y~X.2+X.1))
> Analysis of Variance Table
> Response: Y
>               Df      Sum Sq          Mean Sq F value         Pr(>F)
> X.2           1       1.9651          1.9651          3.1747
> 0.08926
> X.1           1       2.6603          2.6603          4.2977
> 0.05066
> Residuals     21      12.9991         0.619           
> 
> With another stat software (JMP)
> Y~X.1+X.2
>               Df      Sum Sq          Mean Sq F value         Pr(>F)
> X.1           1       2.6603          2.6603          4.2977
> 0.05066
> X.2           1       0.5903          0.5903          0.9537
> 0.33991
> Residuals     21      12.9991         0.619           
> 
> Y~X.2+X.1
>               Df      Sum Sq          Mean Sq F value         Pr(>F)
> X.2           1       0.5903          0.5903          0.9537
> 0.33991
> X.1           1       2.6603          2.6603          4.2977
> 0.05066
> Residuals     21      12.9991         0.619           
> 
> 
> --------------------------------------------------------------
> -------------
> Julien Martin
> 
> Canadian Research Chair in behavioural ecology Université du 
> Québec à Montréal
> 
> Email: [EMAIL PROTECTED]
> 
> ______________________________________________
> R-help@stat.math.ethz.ch mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide! 
> http://www.R-project.org/posting-guide.html

______________________________________________
R-help@stat.math.ethz.ch mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html

Reply via email to