On Tue, 7 Mar 2006, hadley wickham wrote: >> I tend to have to use trial and error myself. Here is another >> possibility. > > That's got the subsetting solved, so here's the next challenge > >> lm(x ~ y, z) > Error in as.data.frame.default(data) : cannot coerce class "myobj" > into a data.frame >> as.data.frame.myobj <- function(x) x[[1]] >> lm(x ~ y, z) > Error in eval(expr, envir, enclos) : numeric 'envir' arg not of length one > > I'm guessing this is pretty much impossible to get around, because > there is no way to tell eval how to deal with myobj type objects, and > lm only dispatches based on the type of the first argument.
Did you write an as.data.frame method? From ?model.frame data: 'data.frame', list, 'environment' or object coercible to 'data.frame' containing the variables in 'formula'. Neither a matrix nor an array will be accepted. so I believe that an as.data.frame method is all that is required. -- Brian D. Ripley, [EMAIL PROTECTED] 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 ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html