This is a function of your data and the tuning parameters you chose to use. See ?tree.control.
On Tue, 20 Feb 2007, stephenc wrote: > Hi > > I am trying to use tree() to classify movements in a futures contract. My > data is like this: > > diff dip dim adx > 1 0 100.00000 8650.0000 100.00000 > 2 0 93.18540 2044.5455 93.18540 > 3 0 90.30995 1549.1169 90.30995 > 4 1 85.22030 927.0419 85.22030 > 5 1 85.36084 785.6480 85.36084 > 6 0 85.72627 663.3814 85.72627 > 7 0 78.06721 500.1113 78.06721 > 8 1 69.59398 376.7558 69.59398 > 9 1 71.15429 307.4533 71.15429 > 10 1 71.81023 280.6238 71.81023 > > plus another 6000 lines > > The cpus example works fine and I am trying this: > > tree.model <- tree(as.factor(indi$diff) ~ indi$dim + indi$dip + indi$adx, > indi[1:4000,]) Oh, please! use the data= argument properly. -- Brian D. Ripley, [EMAIL PROTECTED] Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/ University of Oxford, Tel: +44 1865 272861 (self) 1 South Parks Road, +44 1865 272866 (PA) Oxford OX1 3TG, UK Fax: +44 1865 272595 ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.