[R] Help with lme4 model specification

[ONKELINX, Thierry]

Please note that the case of characters is important in R. Hence "True"
differs from "TRUE". You need to use REML = TRUE instead of REML = True!
The only valid logical values are TRUE, FALSE, T and F. But I recommend
to use only TRUE and FALSE. Because you can overwrite T and F. You could
do something like T <- FALSE, which is ofcourse not a good idea. TRUE
and FALSE can not be overwritten.

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 at 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 at r-project.org [mailto:r-help-bounces at r-project.org]
Namens boeinguy2
Verzonden: donderdag 7 mei 2009 0:21
Aan: r-help at r-project.org
Onderwerp: [R] Help with lme4 model specification


I am new to R and am trying to specify a model for mixed model analysis.

When I run the following model I get an error:

AAT<- lmer(Y ~ S + A + (1|S:A/H), data=AT, REML=True)

The error looks like this:

Error in Spar_loc:`:` : NA/NaN argument
In addition: Warning messages:
1: In model.matrix.default(mt, mf, contrasts) :
  variable 'Spar_loc' converted to a factor
2: In Spar_loc:`:` :
  numerical expression has 720 elements: only the first used

I am having trouble specifying th random component.  It should reflect
the
random term as H nested within the interaction of S & A.  What am I
doing
wrong?
:confused:
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