You need to use "==" instead of "=" for testing equality.
While you're at it, you should check for positive values, not just screening
out 0s. This works for me:
R> mydata = data.frame(x=0:10, y=runif(11))
R> fm = lm(y ~ log(x), mydata, subset=x>0)
Andy
> -----Original Message-----
> From: r-help-bounces at r-project.org
> [mailto:r-help-bounces at r-project.org] On Behalf Of agent dunham
> Sent: Friday, February 25, 2011 6:24 AM
> To: r-help at r-project.org
> Subject: [R] lm - log(variable) - skip log(0)
>
>
>
> 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 the values
> 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 funci?n externa (arg 1)
>
> Thanks, user at host.com
> --
> View this message in context:
> http://r.789695.n4.nabble.com/lm-log-variable-skip-log-0-tp332
4263p3324263.html> Sent from the R help mailing list archive at Nabble.com.
>
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