[R-sig-ME] Mixed model with multiple response variables?
David.Duffy at qimr.edu.au
Tue Aug 5 23:31:41 CEST 2008
On Tue, 5 Aug 2008, Gang Chen wrote:
> I have a data set collected from 10 measurements (response variables)
> on two groups (healthy and patient) of subjects performing 4 different
> tasks. In other words there are two fixed factors (group and task),
> and 10 response variables. I could analyze the data with aov() or
> lme() in package nlme for each response variable separately, but since
> most likely there are correlations among the 10 response variables,
> would it be more meaningful to run a MANOVA? However manova() in R
> seems not to allow an error term in the formula. What else can I try
> for this kind of multivariate mixed model?
You might look at the Oct 2007 R-News article on the subject. But a
flexible approach is to use the sem package.
| David Duffy (MBBS PhD) ,-_|\
| email: davidD at qimr.edu.au ph: INT+61+7+3362-0217 fax: -0101 / *
| Epidemiology Unit, Queensland Institute of Medical Research \_,-._/
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