On 17.01.2012 14:54, Riccardo Romoli wrote:
Hi, I use the lda function from the MASS package to classify some
samples according to some chemical properties. If I run lda without
cross validation all is ok but, if I run lda with cross validation, the
R consol say:
resLDA <- ldaRedOx <- lda(Activity ~ TRedOx[,1:6], CV=TRUE,
data=dfDataRedOx, subset=train)
predLDA <- predict(resLDA, newdata=dfDataRedOx[-train,])$class
> predLDA <- predict(resLDA, newdata=dfDataRedOx[-train,])$class
Error in UseMethod("predict") :
no applicable method for 'predict' applied to an object of class "list"
>
How should I use predict function with lda with the cross validation?
See ?lda : it has a very different output if CV=TRUE is used. Hence you
have to prepare it with CV=FALSE in order to make predictions again.
It does not make sense to ask LDA for a cross validation an run another
test later on, does it?
Uwe Ligges
Best
Riccardo
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