On Thu, 30 Jan 2003, Dieter Menne wrote:
> Using formulas constructed from strings only
> partially works for me in lme:
>
> library(nlme)
> data(Orthodont)
>
>
fm2<-lme(as.formula("distance~age"),data=Orthodont,random=~1|Subject)
> summary(fm2) # works
> augPred(fm2) # fails
> #Error in inherits(object, "formula") :
> #Argument "object" is missing, with no default
>
> I assume that my use of as.formula is wrong, but what's the right way?
> Or at least a workaround?
The error is in predict.lme, I think. That has
eval(as.call(mCall[["fixed"]][-2]))
and I think
eval(mCall[["fixed"]])[-2]
may be the intention.
Workaround: use lme(distance ~ age, data=Orthodont,random=~1|Subject)
or if you need to construct a formula, use
form <- as.formula("distance ~ age")
fm2 <- eval(substitute(lme(form, data=Orthodont, random=~1|Subject),
list(form=form)))
or alter predict.lme as indicated).
--
Brian D. Ripley, ripley at stats.ox.ac.uk
Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/
University of Oxford, Tel: +44 1865 272861 (self)
1 South Parks Road, +44 1865 272866 (PA)
Oxford OX1 3TG, UK Fax: +44 1865 272595