On Nov 22, 2010, at 10:02 AM, Ni, Melody Zhifang wrote:
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"
How? ... did you "try" that is. Need code, not vague reports of failure.
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
--
David Winsemius, MD
West Hartford, CT
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