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. 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 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.
