[R] extracting ctree() output information

[Achim Zeileis]

On Wed, 7 Apr 2010, Steven J. Clark wrote:

> Hi,
>
> I am new to R and am using the ctree() function to do customer
> segmentation.  I am using the following code to generate the tree:
>
> treedata$Response<-factor(treedata$Conversion)
> fit<-ctree(Response ~
> .,controls=ctree_control(mincriterion=0.99,maxdepth=4),data=treedata)
> plot(fit)
> print(fit)
>
> The variable "Response" above equals 1 if the customer responded to an
> offering and 0 otherwise.  Everything works great, however I am
> struggling to extract the information I need from the output.  When I
> look at the output from print(fit) I see things similar to:
>
> 4) age <=42; criterion 1, statistic = 73.055
>  5)* weights = 5843
>
> What this is telling me is that 5,843 customers ended up being
> classified into the group labeled 5.  What I would really like to know,
> however, is what proportion of this 5,843 had Response=1 and what
> proportion had Response=0 so that I could make some inference about the
> P(Response) for customers that match the demographic characteristics of
> each terminal node.

See
   help("BinaryTree-class")
especially the examples section. With where(fit) you can query the node 
number and with treeresponse(fit) you get a list with the frequency 
distribution. There are also some worked examples how you can compute 
other quantities of interest.

hth,
Z

> Any help on how to extract this information would be greatly appreciated
> -- thanks!
>
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>
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