Dear friends,
 I'm doing a simulation on logistic regression model, but the programs can't
work well,please help me to correct it and give some suggestions.
My programs:
data<-matrix(rnorm(400),ncol=8)  #sample size is 50
data<-data.frame(data)
names(data)<-c(paste("x",1:8,sep=""))  #8 independent variables,x1-x8;
#logistic regression model is logit(y)=x1+x2+x3+x4+x5+x6+x7+x8
data$y<-exp(data$x1+data$x2+data$x3+data$x4+data$x5+data$x6+data$x7+data$x8)/(1+(data$x1+data$x2+data$x3+data$x4+data$x5+data$x6+data$x7+data$x8))

logist<-glm(y~.,family=binomial(),data=simdata)
*Warning messages:*
1: algorithm can't converge in: glm.fit(x = X, y = Y, weights = weights,
start = start, etastart = etastart,
2: the probability is 0 or 1 in: glm.fit (x = X, y = Y, weights = weights,
start = start, etastart = etastart,
-- 
With Kind Regards,
Zhi Jie,Zhang ,PHD
Department of Epidemiology
School of Public Health
Fudan University

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