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2007 Dec 11
2
the observed "log odds" in logistic regression
...the log odds for each
level of IV according to which the log odds are calculated?
In R , fitted(fit) gives the fitted probability for DV to be 1. Dose the
observed probability exist ? If it does exist , how can I extract it ? If
the IV is cartegorical , the DV can readily changed to be a tow-culumned
matrix, thus log(the observed probabily/(1-the observed probability) might
be the "log odds". I wonder what if the IV is continuous ?
And about the residuals. It seems that the residual is not the actual
DV minus the fitted probability. For in my model extreme residuals lie well
b...
2006 Sep 12
2
(no subject)
Hi,
I have a problem with aggregate.
x <- aggregate(t1,list(t2,t3,t4), mean)
z<-x[,3]
I want z to be a vector but it is a factor.
I've tried to use as.vector(z,mode="numeric") but then the numbers get
scrambeled.
Any help is appriciated
/anders