On Apr 8, 2014, at 7:20 AM, lghansse <lise.hanss...@ugent.be> wrote:
> I'm trying to conduct a single level logistic analysis (as a beginning step > for a more advanced Multi-level analysis). However, when I try to run it, I > get following error: > > Warning messages: > 1: In model.response(mf, "numeric") : > using type = "numeric" with a factor response will be ignored > 2: In Ops.factor(y, z$residuals) : - not meaningful for factors > > I haven't got a clue why I'm getting this because I used the exact same > syntax (same data preparation etc...) for a similar analysis (same > datastructure, different country). > > Syntax: > Single_model1 <- lm(openhrs1 ~ genhealt1 + age + sexpat1 + hhincome1 + > edupat1 > + etniciteit1, data=Slovakije) > > My Missing data are coded as such, I already tried to run the analysis in a > data frame without the missing cases, but that didn't work either. You are using the lm() function above, which is a regular least squares linear regression for a continuous response variable. If you want to run a logistic regression, you need to use glm() with 'family = binomial': Single_model1 <- glm(openhrs1 ~ genhealt1 + age + sexpat1 + hhincome1 + edupat1 + etniciteit1, family = binomial, data = Slovakije) Regards, Marc Schwartz ______________________________________________ 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.