No, R does not. glm() does in order to do logistic regression. On Sat, Aug 1, 2020 at 2:11 PM Paul Bernal <paulberna...@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.4...@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 <paulberna...@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]] > >> > >> ______________________________________________ > >> R-help@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. > >> > > > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help@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 [[alternative HTML version deleted]] ______________________________________________ R-help@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.