search for: l_logit

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2011 Dec 01
1
logistic regression - glm.fit: fitted probabilities numerically 0 or 1 occurred
...df attachments): > unique(l_yx[,1]) [1] 0 1 > mean(l_yx[,2]) [1] 0.01123699 > max(l_yx[,2]) [1] 14.66518 > min(l_yx[,2]) [1] 0 > attributes(l_yx) $dim [1] 690303 2 $dimnames $dimnames[[1]] NULL $dimnames[[2]] [1] "y" "x" With the above data I do: > l_logit = glm(y~x, data=as.data.frame(l_yx), family=binomial(link="logit")) Warning message: glm.fit: fitted probabilities numerically 0 or 1 occurred Why am I getting this warning when I have data points of varying values for y=1 and y=0? In other words, I don't think I have the linear sep...