R help - Jan 2002 - computing misclassification table for tree objects

I have a classification tree that I computed via the tree function
(in the tree package).  I'd like to compute a misclassification table
(if that's the right term) on the data used to compute the tree.  That
is, I want to compute a table with the different classes (i.e.,levels of the
response factor) on the rows and the columns, and where entry [i,j] is
the number of times the tree classified an observation of class i as
one of class j.

My guess is that there's a simple way to do this, but I can't figure out
how.  Does anybody know?  Thanks.

   David Marimont

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At 04:36 PM 1/4/02, David Marimont wrote:
 >I have a classification tree that I computed via the tree function
 >(in the tree package).  I'd like to compute a misclassification table
 >(if that's the right term) on the data used to compute the tree.  That
 >is, I want to compute a table with the different classes (i.e.,levels of
the
 >response factor) on the rows and the columns, and where entry [i,j] is
 >the number of times the tree classified an observation of class i as
 >one of class j.
 >

predict.tree(mytreeobject, type="class") will get you the predicted
classes
from the computed tree object (mytreeobject).  Suppose rawdata$realclass is 
the vector containing the original classifications used to generate 
mytreeobject.

Then, something like:

 >table(rawdata$realclass, predict(mytreeobject))  # or reversed if you like

should give you the contingency table (or confusion matrix) you're looking
for.

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