[Rd] How to use formulas for multivariate clustered data?

[Gabor Grothendieck]

Have a look at the source code for the Formula package.

On Tue, Jul 28, 2009 at 12:58 PM, Klaus
Nordhausen<Klaus.Nordhausen at uta.fi> wrote:
> Dear R experts,
>
> I wrote already a couple of weeks ago but did not get any reply. Therefore
> I'll rephrase my question and hope some of you can give me some answers or
> some advice where better to look for an answer.
>
> In general I'm looking for information on how to program functions using
> formulas in order to write a nonparametric multivariate regression function
> with possible clustering of the data.
>
> I would assume that the formulas for my function would have the form
> y1 + y2 + y3 ~ x | z
> or
> Y ~ x | z,
>
> where y1, y2 and y3 are continuous response variables, or Y the matrix of
> responses and x an explaining variable and z a factor indicating the cluster
> membership.
>
> I'm looking for general information about writing functions using formulas.
> But more concrete I would need to know what would be the best way to make
> sure that the response should be multivariate and numeric? What is the best
> way to define the hierarchical structure, is it the "|" or is there another,
> better way? How can I restrict the number of hierarchical levels?
> And how to use in this context, the data, subset, weights and na.action
> arguments?
>
> Thanks in advance,
>
> Klaus
>
> --
> Klaus Nordhausen
> Researcher
> Tampere School of Public Health
> FIN-33014 University of Tampere
>
> phone:  +358 3 3551 4153
> fax:    +358 3 3551 4150
> e-mail: Klaus.Nordhausen at uta.fi
>
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