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

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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.ni@imperial.ac.uk<mailto:z.ni@imperial.ac.uk>

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