Christofer Bogaso <bogaso.christofer <at> gmail.com> writes: > Dear all, I am fitting a LOGIT model on this Data........... ---- << snip >>--- > glm(Data[,1] ~ Data[,-1], binomial(link = logit)) > > Call: glm(formula = Data[, 1] ~ Data[, -1], family = binomial(link = logit)) > > Coefficients: > (Intercept) Data[, -1]X 1 Data[, -1]X 2 Data[, -1]X 3 Data[, > -1]X 4 Data[, -1]X 5 > 10.99326 0.01943 10.61013 -0.66763 > 70.98785 17.33126 > > Degrees of Freedom: 43 Total (i.e. Null); 38 Residual > Null Deviance: 44.58 > Residual Deviance: 17.46 AIC: 29.46 > Warning message: > glm.fit: fitted probabilities numerically 0 or 1 occurred > > However I am getting a warning mesage as "fitted probabilities > numerically 0 or 1 occurred". Here my question is, have I made any > mistakes with my above implementation? I s it just because, I have too > less number of '0' in my response Variable? > Look at the output of summary, especially the standard errors. You seem to be getting complete separation on X5 and X4 doesn,'t look so hot either.
Ken ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
