> d<-data.frame(y=sample(letters[1:2],100,T),x=rnorm(100)) > head(d,10) y x 1 b 0.55915620 2 b 0.87575380 3 b -0.13093156 4 b 0.75925729 5 b 0.40233427 6 b 1.34685918 7 a 1.10487752 8 a -2.27456596 9 a 1.65919787 10 b 0.05095611
> glm(y~x,data=d,family=binomial) Call: glm(formula = y ~ x, family = binomial, data = d) Coefficients: (Intercept) x 0.2771 0.5348 Degrees of Freedom: 99 Total (i.e. Null); 98 Residual Null Deviance: 136.1 Residual Deviance: 129.5 AIC: 133.5 ======= 2005-07-28 00:22:55 您在来信中写道:======= >I have two questions: > >1. If I want to do a binomial logit, how to handle the >categorical response variable? Data for the response >variables are not numerical, but text. > >2. What if I want to do a multinomial logit, still >with categorical response variable? The variable has 5 >non-numerical response levels, I have to do it with a >multinomial logit. > >Any input is highly appreciated! Thanks! > >Ed > >______________________________________________ >R-help@stat.math.ethz.ch mailing list >https://stat.ethz.ch/mailman/listinfo/r-help >PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html = = = = = = = = = = = = = = = = = = = = 2005-07-28 ------ Deparment of Sociology Fudan University Blog:http://sociology.yculblog.com
______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html