I have the following code (which I did not write) that generates data based on a logistic model. I'm only getting a single record with y=1. It seems implausible that in 50k cases that have a single y=1. Does that ring alarm bells for anyone else? beta<-c(-1.585600,-0.246900) betasize<-length(beta) meanpred<-c(0,35.900000) varpred<-c(0,1.000000) #loop code x<-matrix(1,length,betasize) #length set to 50k #loop code x[,2]<-rnorm(length,meanpred[2],sqrt(varpred[2])) #length set to 50k fixpart<-x%*%beta binomprob<-exp(fixpart)/(1+exp(fixpart)) data$y<-rbinom(n1,1,binomprob) #more loop code
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