On Thu, 19 Apr 2007, Florian Koller-Meinfelder wrote:
Dear R-helpers,
I am looking for a segmentation package that gives some "tree identifier"
as output for every observation in the data set (my response variable is
binary). I have skimmed through "rpart", "ada" and "adabag": The output
"trees" gives you the formula, but I have to run several thousand
segmentations on different data sets and it is tricky to use this
information within a macro (the only thing I could think of is to use some
string manipulation on the tree formula and apply it to the data, but I
hope there is an easier way - e.g. if the algorithm created 12 different
trees a vector that links every observation to one of these 12 segments
would be ideal).
is this
library("party")
airq <- subset(airquality, !is.na(Ozone))
airct <- ctree(Ozone ~ ., data = airq,
+ controls = ctree_control(maxsurrogate = 3))
where(airct)
[1] 5 5 5 5 5 5 5 5 3 5 5 5 5 5 5 5 5 5 5 5 5 5 5 6 3 5 6 9 9 6 5 5 5 5 5 8 9
[38] 6 8 9 8 8 8 8 5 6 6 3 6 8 8 9 3 8 8 6 9 8 8 8 6 3 6 6 8 8 8 8 9 8 9 6 6 5
[75] 3 5 6 6 5 5 6 3 8 9 8 8 8 8 8 8 8 8 9 6 6 5 5 6 5 3 5 5 3 5 5 5 6 5 5 6 5
[112] 5 3 5 5 5
what you want? `where' gives you the number of the terminal node each
observation in the learning sample is element of.
Best wishes,
Torsten
Cheers,
Florian
Florian Koller-Meinfelder
Research Consulting & Development
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