[R] Dependent Variable in Logistic Regression

Patrick (Malone Quantitative) m@|one @end|ng |rom m@|onequ@nt|t@t|ve@com
Sat Aug 1 20:15:29 CEST 2020


No, R does not. glm() does in order to do logistic regression.

On Sat, Aug 1, 2020 at 2:11 PM Paul Bernal <paulbernal07 using gmail.com> wrote:

> Hi Bert,
>
> Thank you for the kind reply.
>
> But what if I don't turn the variable into a factor. Let's say that in
> excel I just coded the variable as 1s and 0s and just imported the dataset
> into R and fitted the logistic regression without turning any categorical
> variable or dummy variable into a factor?
>
> Does R requires every dummy variable to be treated as a factor?
>
> Best regards,
>
> Paul
>
> El sáb., 1 de agosto de 2020 12:59 p. m., Bert Gunter <
> bgunter.4567 using gmail.com> escribió:
>
> > x <- factor(0:1)
> > x <- factor("yes","no")
> >
> > will produce identical results up to labeling.
> >
> >
> > Bert Gunter
> >
> > "The trouble with having an open mind is that people keep coming along
> and
> > sticking things into it."
> > -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )
> >
> >
> > On Sat, Aug 1, 2020 at 10:40 AM Paul Bernal <paulbernal07 using gmail.com>
> > wrote:
> >
> >> Dear friends,
> >>
> >> Hope you are doing great. I want to fit a logistic regression in R,
> where
> >> the dependent variable is the covid status (I used 1 for covid
> positives,
> >> and 0 for covid negatives), but when I ran the glm, R complains that I
> >> should make the dependent variable a factor.
> >>
> >> What would be more advisable, to keep the dependent variable with 1s and
> >> 0s, or code it as yes/no and then make it a factor?
> >>
> >> Any guidance will be greatly appreciated,
> >>
> >> Best regards,
> >>
> >> Paul
> >>
> >>         [[alternative HTML version deleted]]
> >>
> >> ______________________________________________
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> >> http://www.R-project.org/posting-guide.html
> >> and provide commented, minimal, self-contained, reproducible code.
> >>
> >
>
>         [[alternative HTML version deleted]]
>
> ______________________________________________
> R-help using r-project.org mailing list -- To UNSUBSCRIBE and more, see
> 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.
>


-- 
Patrick S. Malone, Ph.D., Malone Quantitative
NEW Service Models: http://malonequantitative.com

He/Him/His

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