Re: [R] rpart for survival fits

2008-05-06 Thread Terry Therneau
 When I plot a survival fit using rpart for the classification tree, for each
 node, there is a decimal based number above the event/total. I tried to see if
 it's the exponential ratio or logrithmics, neither seem to be the case. I'm
 wondering if anyone knows what they are.

-
 
  It is an estimate of the event rate, using a Baysian shrinkage argument
(#events +a) / (n +b)  *c
 
To understand how the constants a and b are chosen, you need to read the 
detailed documentation (as pointed out already by Brian R).  The constant c is 
chosen to make the printed rate of the top node equal to 1.  This last is 
done 
just to make it easier to scan the tree -- one can easily see that the rate is, 
say, 20% lower in some particular node than for the data set as a whole.


Terry Therneau

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[R] rpart for survival fits

2008-05-05 Thread Chang Liu

Hello Gurus:
 
When I plot a survival fit using rpart for the classification tree, for each 
node, there is a decimal based number above the event/total. I tried to see if 
it's the exponential ratio or logrithmics, neither seem to be the case. I'm 
wondering if anyone knows what they are.
 
Thanks,
Karen
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Re: [R] rpart for survival fits

2008-05-05 Thread Prof Brian Ripley

On Mon, 5 May 2008, Chang Liu wrote:



Hello Gurus:

When I plot a survival fit using rpart for the classification tree,


I don't think that is a 'classification tree': no classification is going 
on.  I will assume you called rpart() with a survival response.


for each node, there is a decimal based number above the event/total. I 
tried to see if it's the exponential ratio or logrithmics, neither seem 
to be the case. I'm wondering if anyone knows what they are.


Yes, I am sure the author knows.  But to be precise, plotting the fit does 
not output those numbers, the text() method does.  What it adds is the 
frame$yval component of the fit, the 'fitted value' according to 
?rpart.object (which is printed when you print the fit).


You really do need to read the documentation to understand what the fitted 
values are in this case.  E.g. http://www.mayo.edu/hsr/techrpt/61.pdf



Thanks,
Karen
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Brian D. Ripley,  [EMAIL PROTECTED]
Professor of Applied Statistics,  http://www.stats.ox.ac.uk/~ripley/
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