Dear Hadley, Actually, the effects package does exactly what you suggest for continuous predictors.
Regards, John ------------------------------ John Fox, Professor Department of Sociology McMaster University Hamilton, Ontario, Canada web: socserv.mcmaster.ca/jfox > -----Original Message----- > From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] On > Behalf Of hadley wickham > Sent: June-08-08 3:48 PM > To: Frank E Harrell Jr > Cc: John Fox; Douglas Bates; [EMAIL PROTECTED]; Dieter Menne > Subject: Re: [R] lsmeans > > > Well put Doug. I would add another condition, which I don't know how to > > state precisely. The settings for the other terms, which are usually > > marginal medians, modes, or means, must make sense when considered jointly. > > Frequently when all adjustment covariates are set to overall marginal > means > > the resulting "subject" is very atypical. > > > > To me much of the problem is solved one one develops a liking for predicted > > values and differences in them. > > Maybe I'm still misunderstanding, but isn't that exactly what effects > displays are? They're just some way to allow you to say, I'm > interested in variables x, y and z, and I don't really care about the > other variables in the model - what are some typical predictions? > > The effects package implements this idea for categorical x, y, and z, > but the basic idea remains the same for continuous variables - except > instead of using all the levels of the factor, you'd use a grid within > the range of the data. > > Hadley > > > -- > http://had.co.nz/ > > ______________________________________________ > 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.
