[R] regularized discriminant function analysis using klaR: problems with predictions

[Daniel Stahl]

Sorry, I forgot to mention that I used the package "klaR". 


 
> 
> Dear all, I am trying to do a n-fold cross-validation for a 
> regularized discrimant function analysis using rda from the package 
> klaR. However, I have problems to predict the groups from the 
> test/validation sample. The exmaples of the R documantation and 
> some online webpage also do not work. Does anybody know what I have 
> done wrong?
> 
> Here my code
> # I want to use the first 6 observations for validationg the model, 
> case 7 to 36 are
> # used for the trianing:
>   n_fold<-sample(1:36,36)
>   testset<- n_fold[1:6]
>   trainset<- n_fold[-(1:6)]
> # regularized DFA with default setting (works fine)
>   z <- rda(group ~ ., data=test[trainset,])
> #Now the prediction:
>   a<-predict(z,data=test[testset,])$class
> 
> Error in predict.rda(z, data = test[testset, ]) :
>    A new data to predict must be supplied.
> 
> 
> Whatever I do I always get the same error message (including 
> examples form help)
> 
> Thanks a lot in advance!
> Best wishes, Daneil
> 
> 
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