Would the "predict" routine (using 'newdata') do what you need? Cliff Long Hollister Incorporated
On Wed, Aug 12, 2009 at 4:33 AM, Jacob Nabe-Nielsen<jacobn...@me.com> wrote: > Dear List, > > Does anyone know how to simulate data from a GLM object correponding > to values of the independent (x) variable that do not occur in the > original dataset? > > I have tried using simulate(), but it generates a new value of the > dependent variable corresponding to each of the original x-values, > which is not what I need. Ideally I whould like to simulate new values > for GLM objects both with family="gaussian" and with family="binomial". > > Thanks in advance, > Jacob > > Jacob Nabe-Nielsen, PhD, MSc > Scientist > -------------------------------------------------- > Section for Climate Effects and System Modelling > Department of Arctic Environment > National Enviornmental Research Institute > Aarhus University > Frederiksborgvej 399, Postbox 358 > 4000 Roskilde, Denmark > > email: n...@dmu.dk > fax: +45 4630 1914 > phone: +45 4630 1944 > > > [[alternative HTML version deleted]] > > ______________________________________________ > 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.
