[R] logistic regression: default computed probability

2011-09-21 Thread n
Hello all,

Suppose in a logistic regression model, the binary outcome is coded as
0 or 1.
In SAS, the default probability computed is for Y = 0 (smaller of the
two values) . However, in SPSS the probability computed is for Y = 1
(greater of the two values).

Which one does R compute, the probability for the smaller or the
greater value?

I went through the documentation in a hurry but couldn't find a clue.

Thanks

Nikhil

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Re: [R] logistic regression: default computed probability

2011-09-21 Thread Marc Schwartz
On Sep 21, 2011, at 10:25 AM, n wrote:

 Hello all,
 
 Suppose in a logistic regression model, the binary outcome is coded as
 0 or 1.
 In SAS, the default probability computed is for Y = 0 (smaller of the
 two values) . However, in SPSS the probability computed is for Y = 1
 (greater of the two values).
 
 Which one does R compute, the probability for the smaller or the
 greater value?
 
 I went through the documentation in a hurry but couldn't find a clue.
 
 Thanks
 
 Nikhil


From ?glm in the Details section:

For binomial and quasibinomial families the response can also be specified as a 
factor (when the first level denotes failure and all others success) or as a 
two-column matrix with the columns giving the numbers of successes and failures.

So P(Y = 1) if using 0/1.

HTH,

Marc Schwartz

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