If you have fitted a tree model, the diagram (which did not survive the mailing list, of course) would have been a decision tree, not a dendrogram.
In a decision tree, the internal nodes refer to decisions to be made as to whether to proceed to the left or to the right at that stage. This is based on the value of a selected predictor variable. If tm is the tree model, you would normally display it using plot(tm) text(tm) Each internal node is then labelled with a message line "age < 25.5", which shows that at that point the decision is made on the variable, 'age'. If the age of the case is less than 25.5 choose the left branch, otherwise the right branch. When you arrive at a terminal node, bingo! You get a prize. Bill Venables -----Original Message----- From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] On Behalf Of Sharma, Manju Sent: Thursday, 20 March 2008 8:54 PM To: r-help@r-project.org Subject: [R] interperting a regression tree hello i am trying to decipher a dendrogram i have from performing a 'tree'. (attached file) my response variable is factored - low, medium and high threat and the 8 explanatory variables are numeric values. i could do with some help to understand what the values <0.25, <0.5 and <0.75 are on the tree branches? how does one interpret this??? cheers, mann Manju Sharma Ashoka Trust for Research in Ecology and the Environment, Banaglore, India ______________________________________________ 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.
