you could use: lm( y ~ x + z + log(w), subset = w > 0)
I hope it helps. Best, Dimitris ---- Dimitris Rizopoulos Ph.D. Student Biostatistical Centre School of Public Health Catholic University of Leuven Address: Kapucijnenvoer 35, Leuven, Belgium Tel: +32/(0)16/336899 Fax: +32/(0)16/337015 Web: http://www.med.kuleuven.be/biostat/ http://www.student.kuleuven.be/~m0390867/dimitris.htm ----- Original Message ----- From: "Dimitri Szerman" <[EMAIL PROTECTED]> To: "R-Help" <[email protected]> Sent: Tuesday, October 25, 2005 4:47 PM Subject: [R] Inf in regressions > Hi, > > Suppose I I wish to run > > lm( y ~ x + z + log(w) ) > > where w assumes non-negative values. A problem arises when w=0, as > log(0) > = -Inf, and R doesn't accept that (as it "accepts" NA). Is there a > way to > tell R to do with -Inf the same it does with NA, i.e, to ignore it? > ( > Otherwise I have to do something like > > w[w==0] <- NA > > which doesn't hurt, but might be a bit incovenient sometimes.) > > Thanks in advance. > > Dimitri > > ______________________________________________ > [email protected] mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide! > http://www.R-project.org/posting-guide.html > Disclaimer: http://www.kuleuven.be/cwis/email_disclaimer.htm ______________________________________________ [email protected] mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
