Hi, I have tried what you suggest here, and it seems not to work, can you help me?
I want to do a lm regression, some of the variables are going to be affected with log, I would like not no take into account those rows which imply doing log(0) for just one variable I have done the following but it doesn't work: lmod1.lm <- lm(log(dat$inaltu)~log(dat$indiam),subset=(!(dat$indiam %in% c(0,1))) and obtain: Error en lm.fit(x, y, offset = offset, singular.ok = singular.ok, ...) : 0 (non-NA) cases lmod1.lm <- lm(log(dat$inaltu)~log(dat$indiam),subset=(!(dat$indiam = 0)), na.action=na.exclude) and obtain Error en lm.fit(x, y, offset = offset, singular.ok = singular.ok, ...) : NA/NaN/Inf en llamada a una función externa (arg 1)u...@host.com -- View this message in context: http://r.789695.n4.nabble.com/How-to-ignore-data-tp3085593p3309666.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
