[R] setting value arg of pdSymm() in nlme
Douglas Bates
bates at stat.wisc.edu
Tue May 17 14:53:06 CEST 2005
William Valdar wrote:
> Dear All,
>
> I wish to model random effects that have known between-group covariance
> structure using the lme() function from library nlme. However, I have
> yet to get even a simple example to work. No doubt this is because I am
> confusing my syntax, but I would appreciate any guidance as to how. I
> have studied Pinheiro & Bates carefully (though it's always possible
> I've missed something), the few posts mentioning pdSymm (some of which
> suggest lme is suboptimal here anyway) and ?pdSymm (which has only a
> trivial example, see later) but have not yet found a successful example
> of syntax for this particular problem.
>
> I am using the pdSymm class to specify a positive definite matrix
> corresponding to the covariance structure of a random batch effect, and
> passing this to lme() through the random= argument. To do this, I must
> set the value= argument of pdSymm.
>
> Consider the following simple and self-contained example:
>
> library(nlme)
>
> # make response and batch data
> batch.names <- c("A", "B", "C")
> data.df <- data.frame(
> response = rnorm(100),
> batch = factor(sample(batch.names, 100, replace=T))
> )
>
> # make covariance matrix for batch
> batch.mat <- matrix(c(1,.5,.2, .5, 1, .3, .2, .3, 1), ncol=3)
> colnames(batch.mat) <- batch.names
> rownames(batch.mat) <- batch.names
>
> # fit batch as a simple random intercept
> lme(response ~ 1, data=data.df, random=~1|batch)
>
> # ...works fine
>
> # do the same using pdSymm notation
> lme(response ~ 1, data=data.df,
> random=list( batch=pdSymm(form=~1) )
> )
> # ...works fine also
>
> # specify cov structure using value arg
> lme(response ~ 1, data=data.df,
> random=list( batch=pdSymm(
> value=batch.mat,
> form=~1,
> nam=batch.names)
> )
> )
>
> # throws error below
>
> ---snip---
> Error in "Names<-.pdMat"(`*tmp*`, value = "(Intercept)") :
> Length of names should be 3
>
>> traceback()
>
> 7: stop(paste("Length of names should be", length(dn)))
> 6: "Names<-.pdMat"(`*tmp*`, value = "(Intercept)")
> 5: "Names<-"(`*tmp*`, value = "(Intercept)")
> 4: "Names<-.reStruct"(`*tmp*`, value = list(batch = "(Intercept)"))
> 3: "Names<-"(`*tmp*`, value = list(batch = "(Intercept)"))
> 2: lme.formula(response ~ 1, data = data.df, random = list(batch =
> pdSymm(value = batch.mat,
> form = ~1, nam = batch.names)))
> 1: lme(response ~ 1, data = data.df, random = list(batch = pdSymm(value
> = batch.mat,
> form = ~1, nam = batch.names)))
> ---snip---
>
> The length of batch.names is 3, so I find this error enigmatic. Note
> that I had to specify all three of value, form and nam otherwise I got
> missing args errors. Also note that doing
>
> pdSymm(value=batch.mat, form=~1, nam=batch.names)
>
> on the command line, like the similar invocation described on ?pdSymm,
> works fine also. It's just lme() that doesn't like it.
>
> Can anybody show me what I should be doing instead? Some successful code
> will greatly clarify the issue. (My version details are below).
I'm afraid that I don't understand what you are trying to do. With a
formula of ~ 1 the pdSymm generator creates a 1x1 variance-covariance
matrix, which you are initializing to a 3x3 matrix. What is batch.mat
supposed to represent?
> Also, I
> notice the pdMat scheme is absent from lme() in lme4. Is this
> functionality deprecated in lme4 and excluded from lmer?
Yes, although I think you mean lmer in lme4. Because the lmer function
allows multiple nested or non-nested grouping factors, the need for the
pdMat classes is eliminated (or greatly reduced) and the code can be
simplified considerably. There is an article in the 2005/1 issue of R
News describing the use of lmer.
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