I see the logic now. I think that more sentences in the document would be very helpful, however. What is written is very subtle. I suggest the following small expansion for model.matrix.Rd:
\item{data}{a data frame. If the object has a \code{terms} attribute then it is assumed to be the result of a call to \code{model.frame}, otherwise \code{model.frame} will be called first.} I often forget that model.frames are not a class, but an "implied" class based on the presence of a terms component. Many users, I suspect, do not even have this starting knowledge. Off to make changes to model.frame.coxph and model.matrix.coxph... Thanks for the feeback. Terry On Wed, 2011-03-30 at 16:36 +0100, Prof Brian Ripley wrote: > On Wed, 30 Mar 2011, Terry Therneau wrote: > > > I'm working on predict.survreg and am confused about xlevels. > > The model.frame method has the argument, but none of the standard > > methods (model.frame.lm, model.frame.glm) appear to make use of it. > > But I see this in predict.lm: > > m <- model.frame(Terms, newdata, na.action = na.action, > xlev = object$xlevels) > > It is used to remap levels in newdata to those used in the fit. > > > > > The documentation for model.matrix states: > > xlev: to be used as argument of model.frame if data has no "terms" > > attribute. > > Well, the code says > > if (is.null(attr(data, "terms"))) > data <- model.frame(object, data, xlev=xlev) > > > But the terms attribute has no xlevels information in it, so I find this > > statement completely confusing. Any insight is appreciated. > > It means exactly what it says: a 'data' argument with a terms > attribute is considered to be a model frame. > > > > > Terry Therneau > > > > ______________________________________________ > > R-help@r-project.org mailing list > > https://stat.ethz.ch/mailman/listinfo/r-help > > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > > and provide commented, minimal, self-contained, reproducible code. > > > ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.