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randomForest speed improvements

Liaw, Andy 
Note that that isn't exactly what I recommended.  If you look at the
example in the help page for combine(), you'll see that it is combining
RF objects trained on the same data; i.e., instead of having one RF with
500 trees, you can combine five RFs trained on the same data with 100
trees each into one 500-tree RF.

The way you are using combine() is basically using sample size to limit
tree size, which you can do by playing with the nodesize argument in
randomForest() as I suggested previously.  Either way is fine as long as
you don't see prediction performance degrading.

Andy
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apresley randomForest speed improvements Jan 3 Jonathan P Daily randomForest speed improvements Jan 3 apresley randomForest speed improvements Jan 3 Liaw, Andy randomForest speed improvements Jan 4 apresley randomForest speed improvements Jan 4 Liaw, Andy randomForest speed improvements Jan 5 Liaw, Andy randomForest speed improvements Jan 5