On Wed, 18 Jan 2012, seanstcl...@verizon.net wrote:
Hello. I have used the "party" package to generate a regression tree as
follows:
>origdata<-read.csv("origdata.csv")
>ctrl<-ctree_control(mincriterion=0.99,maxdepth=10,minbucket=10)
>test.ct<-ctree(Y~X1+X2+X3,data=origdata,control=ctrl)
The above works fine. Orig data was my training data. I now have a test
data file (testdata), and would like to run the testdata through the above
tree to see predictions. I tried using the following function
>predict(test.ct,newdata=testdata)
but I get the following error:
Error in checkData(oldData, RET) :
Levels in factors of new data do not match original data
I've looked at the testdata file closely and it does not appear to contain
any levels of factors that were not in the original.
Did you check carefully enough? compare
levels(origdata$X1)
levels(testdata$X1)
and so on for X2 and X3. Maybe the _observed_ levels in the testdata are
ok but not all levels.
Z
What might I be doing
incorrectly, and how can i use the tree that was generated above to
generate predictions for this new file testdata?
THanks.
sean
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