Skotara wrote:
> Dear R-list,
>
> the following code had been running well over the last months:
>
> exam <- matrix(rnorm(100,0,1), 10, 10)
> gg <- factor(c(rep("A", 5), rep("B", 5)))
> mlmfit <- lm(exam ~ 1); mlmfitG <- lm(exam ~ gg)
> result <- anova(mlmfitG, mlmfit, X=~0, M=~1)
>
> Until, all of a sudden the following error occured:
>
> Fehler in apply(abs(sapply(deltassd, function(X) diag((T %*% X %*%
> t(T))))), :
> dim(X) must have a positive length
>
> I have not kept track of the changes in my R-version, so it might have
> to do with that.
> Now it is: R version 2.9.0 (2009-04-17).
>
> Does anybody know more about this error? I would help me a lot!
Hmm, It didn't work in 2.8.1 either.
Anyways, the direct cause of the problem is that the construction
sapply(deltassd, function(X) diag((T %*% X %*% t(T))))
will return a vector, not matrix, if T is 1 x p. This happens inside
apply(abs(sapply(deltassd, function(X) diag((T %*% X %*% t(T))))), 1, max)
and obviously, apply() is confused. We need an as.matrix(), which we do
have at other points in the function.
For a quick workaround, use test="Spherical". It is really a univariate
problem so all the tests are equivalent (in fact,
anova(lm(rowMeans(exam) ~ gg)) also works).
>
> Thank you very much!
>
> Nils
>
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--
O__ ---- Peter Dalgaard Øster Farimagsgade 5, Entr.B
c/ /'_ --- Dept. of Biostatistics PO Box 2099, 1014 Cph. K
(*) \(*) -- University of Copenhagen Denmark Ph: (+45) 35327918
~~~~~~~~~~ - (p.dalga...@biostat.ku.dk) FAX: (+45) 35327907
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