[R] How can I cluster a set of formulae?
Professor George F.Hart
ghart at lsu.edu
Sun Jan 26 22:33:22 CET 2014
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.
More information about the R-help
mailing list