hello gavin & achim, thanks for responding.
by logistic regression tree i meant a regression tree for a binary response variable. but as you say i could also use a classification tree - in my case with only two outcomes. i'm not aware if there are substantial differences to expect for the two approaches (logistic regression tree vs. classification tree with two outcomes). as i'm new to trees / boosting / etc. i also might be advised to use the more comprehensible method / a function which argumentation is understood without having to climb a steep learning ledder, respectively. at the moment i don't know which this would be. regarding the meaning of absences at stands: as these species are frequent in the area and hence there is no limitation by propagules i guess absence is really due to unfavourable conditions. thanks a lot, kay ----- ------------------------ Kay Cichini Postgraduate student Institute of Botany Univ. of Innsbruck ------------------------ -- View this message in context: http://r.789695.n4.nabble.com/logistic-regression-tree-tp2331847p2332447.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org 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.
