[R] How can I cluster a set of formulae?

[Bert Gunter]

SO (stats.stackexchange.com) is the better list for methodological
issues like this.

Cheers,
Bert

Bert Gunter
Genentech Nonclinical Biostatistics
(650) 467-7374

"Data is not information. Information is not knowledge. And knowledge
is certainly not wisdom."
H. Gilbert Welch




On Sun, Jan 26, 2014 at 1:33 PM, Professor George F.Hart <ghart at lsu.edu> wrote:
> I am working on a problem in which I have derived a set of D  formulae
> relating a different dependent variable to a grouping of independent variables.
>
>
> D1 = intercept + ax1 + bx2 + bx3 + bx4
> D2 = intercept + ex2 + fx7 + gx8
> D3= intercept + hx1 + ix3 + jx7
>
> etc to ... D8.
>
> I have 3 categorical variables P, Q and A  [which are actually hierarchical
> with A within Q with P, each containing a different number of classes]  – I
> want to look at each of the categorical variables as a separate issue
> clustering each of the D formulae into classes, so I can say something about
> how the D's vary / interact across classes.
>
> Intuitively this seems to be a discriminant function problem because the
> classes are already known.  However, a PCA or FA might be necessary – and
> then do a DFA on the clusters.  Either way I am not sure how to set it up or
> even if I can interpret it to make sense.
>
> Alternatively, I might be climbing up/down the wrong tree [pun intended].
> Other methods might be better.
>
> Help!
>
> George F. Hart
>
> I'm sending this to a number of statistics groups so apologize if you get
> this note more than once.
>
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