#Conditional inference forest ("Party" package) error message states
that levels in factors of new data do not match original data, but they
do...
#create conditional inference forest
oc_listed.fit1 <- cforest(Listed~
HabMode,controls=cforest_unbiased(ntree=500), data=oc.complete)
#use predict function for subset of data
#this works correctly
predict(oc_listed.fit1,newdata=oc.complete[1:10,])
#use predict on new set of data
predict(oc_listed.fit1,newdata=DD_NOT)
#produces this error message
#Error in checkData(oldData, RET) :
#Levels in factors of new data do not match original data
#We can show that all of the levels match
table(DD_NOT$ORD %in% oc.complete$ORD)
#same check
sum(!levels(DD_NOT$ORD) %in% levels(oc.complete$ORD))
#equals 0, all levels are the same.
#Then why does it fail?
Thanks,
Ana
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