> dredge(x, subset = !(X1 & (X2 | X3)) & !(X2 & X3) & !(X1 & X3))
see > help("Logic", "base")
Dnia 2011-08-26 12:00, r-help-requ...@r-project.org pisze:
------------------------------
Message: 157
Date: Fri, 26 Aug 2011 14:53:00 +0900
From: Andrew MacIntosh<andyj...@gmail.com>
To:R-help@r-project.org
Subject: [R] excluding models during dredge and model averaging in
MuMIn
Message-ID:
<capsaz9rirdzxyn22jysmbunv7dvdwzbh44stab7wjcdtte_...@mail.gmail.com>
Content-Type: text/plain; charset=ISO-8859-1
Dear R Users,
I am using the package "MuMIn" to sort through models, with the goal
of estimating parameters through model averaging of the candidate set.
I have been using the dredge function to build all possible models
based on my starting point (hypothetical global model). I see that
there is a simple way to control which models are excluded from this
set...
# exclude models containing both X1 and X2
>dredge(x, subset = !(X1& X2))
However, I would like to add to this and exclude 4 different
combinations of predictors (i.e. X1&X2, X1&X3, X2&X3, X1&X2&X3).
I would very much appreciate it if somebody had any ideas about how to
tackle this. Also,
Cheers,
Andrew
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