[R-sig-ME] advice with lmer syntax
Giacomo Santini
giacomo.santini at unifi.it
Fri Jan 22 10:55:43 CET 2010
Dear all,
here is my problem, a very simple one indeed. I am new to mixed models
and before go on with the analysis I wish to be sure I am rigth in
model formulation.
My data set consists of observations on the behaviour (say time active,
Activity) of marine animals. I have 120 individually marked animals in
three different randomly chosen sites (40 animals per site). I was
interested in assessing if the behaviour changed during A) different
seasons and B) different tidal conditions.
For each animal in each site the behaviour was observed during three
different randomly chosen days within each combination of Season (A) and
Tide (B). Obviously each individual is specific to one of the three
sites. In summary:
Season, fixed factor, 2 levels (Summer, Winter)
Tide, fixed, 2 levels (Neap and Spring)
Site, random factor, 3 levels
Animal, random factor, 120 levels, nested within Site
I wish to analyse this data set using lme4. I guess the starting model
to answer to questions A, B and C is
Mod1<- lmer(Activity~Season*Tide + (1|Site)+ (1|Site/Animal) ,
data=obsTot, REML=TRUE)
Now if I wish to check if the effect of Season and Tide differs in the
different sites (altough I am not interested in these tree sites in
particular) would it be correct to add to Mod1 terms like
(1|Season:Site) and or, (1|Tide:Site)? Something like:
Mod2<- lmer(Activity~Season*Tide + (1|Site)+ (1|Site/Animal) +
(1|Season:Site)+ (1|Tide:Site), data=obsTot, REML=TRUE)
Any suggetion is welcome
Cheers
Giacomo
--
-------------------------------------------------------
Giacomo Santini PhD
Dipartimento di Biologia Evoluzionistica "Leo Pardi"
Universita' degli Studi di Firenze
Via Romana 17
I-50125 Firenze
Italy
Tel: +39 055 2288288 (DBE) - +39 0574 447727 (CESPRO)
Fax: +39 055 2288289
www.dbe.unifi.it/santini
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