Hi -- I have found that by default the function print.glm() uses 3 significant figures when printing out null and model deviances and the aic. Of course, this is not wrong. But if a person fitted two nested models and compared the resulting deviances obtained from print.glm(), the resulting hypothesis test could indeed be wrong because of this rounding. The function summary() applied to a glm object gives a more precise printout and I think that print.glm() ought to as well by default. Thanks much. -- pr
========================================================================== Paul Rathouz, Assoc. Professor ph 773-834-1970 Dept. of Health Studies, Rm. W-264 fax 773-702-1979 University of Chicago [EMAIL PROTECTED] 5841 S. Maryland Ave. MC 2007 Chicago, IL 60637 ______________________________________________ R-devel@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-devel
