Thank you very much.
 
Is the following model would be corresponding to the data?
 
Y_ijklt = m + a_l + b_k + c_j + d_t + (cd)_jt + u_ijklt
 
Cheers,
Samor

--- On Wed, 2/4/09, ONKELINX, Thierry <Thierry.ONKELINX@inbo.be> wrote:

From: ONKELINX, Thierry <Thierry.ONKELINX@inbo.be>
Subject: RE: [R] ANOVA in R
To: samorgandhi@yahoo.com, r-help@r-project.org
Cc: r-sig-mixed-models@r-project.org
Date: Wednesday, February 4, 2009, 3:21 PM

Dear Samor,

Note that the R-Sig-mixed-models is more suitable for that kind of questions.
 
You need to add "+", ":" or "*" between the
variables in the formula

The correlation is lme() is not the same as the correlation in SAS. The
correlation in lme() is the correlation among residuals, not among random
effects. You need one of the pdClasses if you want to define the correlation
among the random effects. Have a look at ?nlme::pdClasses

Hence your code should probably look like this

Model <- lme(response ~ seq + period + treat*time, random = pdCompSymm(form
= ~1|SUB))
anova(Model)

HTH,

Thierry
----------------------------------------------------------------------------
ir. Thierry Onkelinx
Instituut voor natuur- en bosonderzoek / Research Institute for Nature and
Forest
Cel biometrie, methodologie en kwaliteitszorg / Section biometrics, methodology
and quality assurance
Gaverstraat 4
9500 Geraardsbergen
Belgium 
tel. + 32 54/436 185
Thierry.Onkelinx@inbo.be 
www.inbo.be 

To call in the statistician after the experiment is done may be no more than
asking him to perform a post-mortem examination: he may be able to say what the
experiment died of.
~ Sir Ronald Aylmer Fisher

The plural of anecdote is not data.
~ Roger Brinner

The combination of some data and an aching desire for an answer does not ensure
that a reasonable answer can be extracted from a given body of data.
~ John Tukey

-----Oorspronkelijk bericht-----
Van: r-help-bounces@r-project.org [mailto:r-help-bounces@r-project.org] Namens
Samor Gandhi
Verzonden: woensdag 4 februari 2009 7:43
Aan: r-help@r-project.org
Onderwerp: [R] ANOVA in R

Hi,I'm using a repeated measures ANOVA in R using lme(). The SAS code would
be:  
PROC MIXED DATA=[data set below];
     CLASS pid treat period time seq;
     MODEL Y = seq period treat time treat*time;
     REPEATED time / SUBJECT=pid TYPE=cs;
RUN,  I donot have SAS, instead I have R and I would like to try the
following:
anova(lme(response ~ seq period treat time treat*time,random= ~1|SUB,
   correlation=corCompSymm()))

Is this correct? Can I also write the model as

Y_ijklt = m + a_l + b_k + c_j + d_t + (cd)_jt + u_ijkltY_ijklt is the response
variable due to pid i, treat j, period k, seq l, and time t. Thank you very much
in advance for your help :)
Samor 






      
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