Hello,
I'm following previous threads on the use of varimp in the R "party" package.
I'm running up against similar problems to that described here (and the thread
referenced therein):
https://stat.ethz.ch/pipermail/r-help/2011-October/292897.html
Specifically, I'm running cforest and then varimp on a dataset with one binary
(yes/no) variable to classified and 32 predictors (This is in the context of
using environmental data to predict site occupancy and all my predictors are
numeric or integer). As described in previous posts, "varimp" command is giving
me the following error:
"Error in model.matrix.default(as.formula(f), data = blocks) : term 1 would
require 1e+25 columns"
(I've tried changing the threshold parameter with no luck).
It seems like one of the package author's responses (and possible solutions) to
a previous inquiry may have been made outside of the listserv and I'm wondering
if it could be posted for reference? Is there something wrong with applying
this method given the nature of my data (e.g. many, strongly correlated
predictors)?
Thanks in advance!
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