The best way to store R objects is to use R's own 'save()' and 'load
()' functions. In order to use these, it is necessary for the
objects to be assigned to R names, so you would have something like...
from rpy import r
# code here to create objects 'a' and 'b'
r.assign('a', a)
r.assign('b', b)
r("save(a,b, file='ab.Rdata')")
and then
from rpy import r
r("load(file='ab.Rdata')")
a = r.a
b = r.b
-Greg
On May 15, 2008, at 5:01AM , John Reid wrote:
Hi,
I know more about python than R and I'm wondering is there any
pickling
support in rpy? If there isn't, is there any scope for providing some?
I've used r.dput a few times to persist some R objects but it would be
very useful if there was a more transparent way to do this.
Anyone got any thoughts or an implementation (hopefully)?
John.
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