persistence of model in R to a file
Thanks. I will replicate the error and post an example. Dhruv -----Original Message----- From: Greg Snow [mailto:Greg.Snow at imail.org] Sent: Monday, September 29, 2008 4:02 PM To: Sharma, Dhruv; r-help at r-project.org Subject: RE: persistence of model in R to a file See ?save for one way to save models for later re-reading. I don't fully understand your next question, many of the modeling functions have options for saving the data (see ?lm), but can you give an example for your A, B, and C example? Then we will have a better chance of telling you what is happening and what options can change what is happening. -- Gregory (Greg) L. Snow Ph.D. Statistical Data Center Intermountain Healthcare greg.snow at imail.org 801.408.8111
-----Original Message-----
From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-
project.org] On Behalf Of Sharma, Dhruv
Sent: Monday, September 29, 2008 1:52 PM
To: r-help at r-project.org
Subject: [R] persistence of model in R to a file
Hi,
Is there a way to save R models (glm, lm , rpart etc) in a file
that be read in later?
I noticed models take up space. by space them off and removing
them from memory it seems that would be useful.
Also why do the models keep a copy of all columns in the original
data set even those columns are not in the model.
E.g. if I build a model on columns A, B even thought column C
exists in the dataframe when I run the model against test data with
only columns A and B then I get an error saying column C is missing
from the data.
Anyway it seems like the models would be more compact without
having to include within them data from the original data set used to
build them but that is an aside.
If models can be persisted and loaded selectively later that would
neat.
thanks
Dhruv
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