Hi r-help-boun...@r-project.org napsal dne 22.11.2010 16:02:20: > Hi everyone > > I have a question about how to save a regression model in R and how to > retrieve it for making predictions in a new session. > > To be more specific, I fitted a multilevel logistic regression model using the > lmer from the "lme4" package. I then successfully make predictions using > fitted(mymodel). > > Since data are complex (three levels, nested, numerous categorical and > continuous data describing types of laparoscopic surgery), the computer takes > quite a while to fit the MLM model. I wonder whether it's possible to save > the fitted model so that I don't have to fit it again for making predictions > every time I start a new R session.
When you quit R session with option save =Yes you get a file .Rdata. Whenever you start R with this file you get saved environment back, together with your "mymodel". I recommend for each bigger task to create separate directory in which you can save your .Rhelp and .Rdata file without interfering other tasks. Regards Petr > > I searched the mailing-list archive. Suggestions include using save () to save > the model as "mymodel.rda" and then use load(mymodel.rda) into the workspace. > I tried without success (in Windows), returning the error message: "Error in > object$fitted : $ operator is invalid for atomic vectors" > > Did I do anything wrong? Any help on this topic is much appreciated 1.11 Data permanency and removing objects from R-intro Regards Petr > > BW, Melody > > -- > Dr Melody Ni > Imperial College > Department of Surgery and Cancer > 10th floor, QEQM Building > St. Mary's Hospital > London W2 1NY > Tel/Fax: +44 (0) 20 331 27657/26309 > z...@imperial.ac.uk<mailto:z...@imperial.ac.uk> > > [[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.