Hello community,

I am trying to constrain interactions within a model to always include a
particular variable of interest and to limited interaction complexity to
three-way. The later is straight forward, for example:

lme(response ~ (a + b + c + d + e + f)^3)

However, my goal is to constrain all 3-way interactions to always include
variable "a". Is there efficient code for this problem?

****************************************
Chris




On Tue, Feb 14, 2012 at 3:51 AM, Federico Tettamanti <
federico.tettamanti@gmail.com> wrote:

> Dear all,
>
> I have a data set about behaviour of groups of ungulate. I would like
> see if the behaviour of groups is influenced by some variable (presence of
> old males, sex ratio and group size). My problem is that I haven't any
> marked individuals so I have high probability of pseudoreplication. If I
> put the day of observation like random factor and include a spatial
> correlation using the coordinate it's possible that I solve my problem?
>
> Moreover another problem that I have is study the behaviour of each single
> male present in each group. How I can study if the variable of the group
> influence the behaviour of the male present in this group avoiding
> pseudoreplication?
>
> Thanks in advance
>
> Best regards,
>
> Federico Tettamanti
>
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>
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