[R] discrete discriminant analysis

[Uwe Ligges]

On 16.11.2012 16:05, Catarina Maia wrote:
> Hello,
>
> I am using the mda package and in particular the fda routine to classify in
> term of gear a set of 20 trips.
> I preformed a flexible discriminant analysis (FDA) using a set of 151
> trips.
>
>
>
> FDAT1 <- fda(as.factor(gear) ~ . ,  data =matrizR)
>
>
>
> A total of 22 predictors were considered. 20 of the predictors are
> "numeric" and 2 are "factors/discrete".
>
>
>
> The resulting FDA rule was applied to the 20 trips and for the same
> predictors in order to predict the type of gear used. however a consistent
> error is occuring:
>
>
>
> Error in polybasis(newdata, degree, monomial) %*% object$coef :
>    non-conformable arguments
>
>
>
>
>
> it is possible the problem being related with the 2 predictors that are
> discrete variables?
>
>
>
> there is already available some rotine to perform a discrete discriminant
> analysis considering continuous and discrete variables?
>
>
>
> if someone can help, would be very grateful.

Probably not even the author of that function could easily help without 
a reproducible example - the posting guide for this list asks you to 
provide one.

Uwe Ligges


>
> cheers,
>
> Catarina
>
> 	[[alternative HTML version deleted]]
>
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