Date: Mon, 28 Jan 2008 06:21:50 -0500
Reply-To: Peter Flom <firstname.lastname@example.org>
Sender: "SAS(r) Discussion" <SAS-L@LISTSERV.UGA.EDU>
From: Peter Flom <peterflomconsulting@MINDSPRING.COM>
Subject: Re: Analyzing Bimodal ata
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Ron Do <rondo@HOTMAIL.COM> wrote
>Thanks for this. Unfortunately I am not familiar with R at all, although I
>am thinking of picking it up since there are some programs that are useful
>for me that are only in R.
It takes some getting used to, but it can be very useful
>But I do have some experience using the proc mixed procedure in SAS. If I
>categorize values around the minor mode as "0" and then the values around
>the major mode as "1" (new variable: modes1) and then fit a mixed model with
>mode1 as a random effect, would this work?
Nope. Mixture models have nothing in common with mixed models. A mixed model (as you know) combines fixed and random effects to allow for nonindependence. A mixture model is a model that assumes the sample (and the population) comes from two (or more) different distributions.