[R] Caret Internal Data Representation

[Max Kuhn]

Providing a reproducible example and the results of `sessionInfo` will help
get your question answered.  For example, did you use the formula or
non-formula interface to `train` and so on

On Thu, Nov 5, 2015 at 1:10 PM, Bert Gunter <bgunter.4567 at gmail.com> wrote:

> I am not familiar with caret/Cubist, but assuming they follow the
> usual R procedures that encode categorical factors for conditional
> fitting, you need to do some homework on your own by reading up on the
> use of contrasts in regression.
>
> See ?factor and ?contrasts (and other linked Help as necessary) to see
> what are R's usual procedures, but you will undoubtedly need to
> consult outside statistical references -- the help files will point
> you to some -- to fully understand what's going on. It is not trivial.
>
> Cheers,
> Bert
> Bert Gunter
>
> "Data is not information. Information is not knowledge. And knowledge
> is certainly not wisdom."
>    -- Clifford Stoll
>
>
> On Thu, Nov 5, 2015 at 9:38 AM, Lorenzo Isella <lorenzo.isella at gmail.com>
> wrote:
> > Dear All,
> > I have a data set which contains both categorical and numerical
> > variables which I analyze using Cubist+the caret framework.
> > Now, from the generated rules, it is clear that cubist does something
> > to the categorical variables and probably uses some dummy coding for
> > them.
> > However, I cannot right now access the data the way it is transformed
> > by cubist.
> > If caret (or the package) need to do some dummy coding of the factors,
> > how can I access the newly encoded data set?
> > I suppose this applies to plenty of other packages.
> > Any suggestion is welcome.
> > Cheers
> >
> > Lorenzo
> >
> > ______________________________________________
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> > PLEASE do read the posting guide
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> > and provide commented, minimal, self-contained, reproducible code.
>
> ______________________________________________
> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>

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