Hello,
I want to determine the regression relationship between a proportion (y)
and a continuous variable (x).
Reading a number of sources (e.g. The R Book, Quick R,help), I believe I
should be able to designate the model as:
model<-glm(formula=proportion~x, family=binomial(link="logit"))
this runs but gives me error messages:
Warning message:
In eval(expr, envir, enclos) : non-integer #successes in a binomial glm!
If I transform the proportion variable with log, it doesn't like that
either (values not: 0<y<1)
I understand that the binomial function concerns successes vs. failures and
can use those raw data, but the R Book and other sources seem to suggest
that proportion data are usable as well. Not so?
Thank you,
Georgiana May
[[alternative HTML version deleted]]
______________________________________________
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.
