Not real data. It was gererated randomly. The original codes are the following: par(mfrow=c(2,1)) n <- 500
######################### #DATA GENERATING PROCESS# ######################### x1 <- rnorm(n,0,1) x2 <- rchisq(n,df=3,ncp=0)-3 sigma <- 1 u1 <- rnorm(n,0,sigma) ylatent1 <-x1+x2+u1 y1 <- (ylatent1 >=0) # create the binary indicator ####################### #THE Probit Estimation# ####################### probit<-glm(y1~x1+x2-1, family=binomial(link=probit)) bp<-probit$coef[2]/probit$coef[1] bp; I also tried family=quasibinomial. There seems no error message. But the result is different from what I got from Gauss. For u1 belongs to another distribution (not normal), the difference is even larger. I used the same data for the comparison. Thanks a lot! Steve Sullivan <[EMAIL PROTECTED]> wrote: Is this simulated or actual data? STS Steven Sullivan, Ph.D. Senior Associate The QED Group, LLC 1250 Eye St. NW, Suite 802 Washington, DC 20005 [EMAIL PROTECTED] 202.898.1910.x15 (v) 202.898.0887 (f) 202.421.8161 (m) -----Original Message----- From: L Z [mailto:[EMAIL PROTECTED] Sent: Wednesday, November 05, 2003 12:10 PM To: [EMAIL PROTECTED] Subject: [R] for help about R just want to ask the following > > question: > > > probit<-glm(y1~x1+x2-1, > > family=binomial(link=probit)) > > Warning message: > > fitted probabilities numerically 0 or 1 occurred in: > > glm.fit(x = X, y = Y, > > weights = weights, start = start, etastart = > > etastart, > > why does that happen? --------------------------------- [[alternative HTML version deleted]] ______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help
