[R] using weights in lrm

From: Stephan Lindner <lindners_at_umich.edu>
Date: Tue 04 Jul 2006 - 18:52:38 EST


Dear all,

just a quick question regarding weights in logistic regression. I do

results <- lrm(y.js ~

                h.hhsize             

+ h.death1
+ h.ill1
+ h.ljob1
+ h.fin1
+ h.div1
+ h.fail1
+ h.sex
+ h.ch.1
+ h.ch.5
+ h.ch.12
+ h.ch.13
+ h.popgroup
+ y.school.now
,x=T,y=T, data=d.caps1y, weights=weightsd, normwt=TRUE )

The regression works (in the sense that the results are not way off the one w/o wighting the sample), but I get the following warning messages:

Warning messages:
1: number of items to replace is not a multiple of replacement length 2: currently weights are ignored in model validation and bootstrapping lrm fits in: lrm(y.js ~ h.hhsize + h.death1 + h.ill1 + h.ljob1 + h.fin1 +

Perhaps someone can help me clearifying the warning messages -- thanks a lot in advance !

Cheers,

Stephan         

-- 
-----------------------
Stephan Lindner, Dipl.Vw.
Doctoral Student in Economics
1512 Gilbert Ct., V-17
Ann Arbor, Michigan 48105
U.S.A.
Tel.: 001-734-272-2437
E-Mail: lindners@umich.edu

"If I have seen further it is by standing on the shoulders of giants."
-- Isaac Newton

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Received on Tue Jul 04 18:57:45 2006

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