[R] logistic regression: categorical value, and multinomial
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
Re: [R] logistic regression: categorical value, and multinomial
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: 129.5AIC: 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
Re: [R] logistic regression: categorical value, and multinomial
Dear Ed, See ?glm for fitting binomial logit models, and ?multinom (in the nnet package) for multinomial logit models. Neither function will handle a character (text) variable as the response, but you could easily convert the variable to a factor. John John Fox Department of Sociology McMaster University Hamilton, Ontario Canada L8S 4M4 905-525-9140x23604 http://socserv.mcmaster.ca/jfox -Original Message- From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] On Behalf Of Haibo Huang Sent: Wednesday, July 27, 2005 11:23 AM To: r-help@stat.math.ethz.ch Subject: [R] logistic regression: categorical value, and multinomial 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
