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Ian: If it is appropriate for your data, you might try multiple imputation using a package such as mice. There good reasons not to follow an imputation route, but if there are not too many missing attributes these various imputation packages can provide a meaningful alternative. Just make sure the imputation method is consistent with your theory. -VP
Isaac T. Van Patten, Ph.D.
Professor of Criminal Justice
307 Adams Street, Office 4C
Box 6934, Radford University
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It doesn't matter how beautiful your theory is;
It doesn't matter how smart you are;
If it doesn't agree with the [data], its wrong.
-Richard Feynman
-----Original Message-----
From: Social Networks Discussion Forum [mailto:[log in to unmask]] On Behalf Of Ian McCulloh
Sent: Wednesday, November 30, 2011 8:34 AM
To: [log in to unmask]
Subject: Missing value in R
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I'm doing an ergm using the statnet package in R. I am fitting a model with nodecov and nodefactor terms, but I have some missing attribute values on some nodes. Any recommendations on how to handle this, mainly for the nodecov mimetic term? Obviously, I don't want similarity in missing info to contribute to the likelihood of a link. I'm not that R literate, so I am hoping there is some convenient code that handles this in an accepted manner someone can share with me.
Thanks
Ian McCulloh, Ph.D
Curtin University
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