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
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and provide commented, minimal, self-contained, reproducible code.
