I’m running some logistic regressions and I’ve been trying to include weights in the equation. However, when I run the model, I get this warning message:
Here’s what it says: Warning message: In eval(expr, envir, enclos) : non-integer #successes in a binomial glm! I think it is because the weights are non-integer values. What is a good way to run logistic regressions in R when using non-integer weights? I’ve attached the output from the R console of the two different methods I've tried. The first regression is unweighted. The second regression includes the weights in glm. The third regression includes the weights in svyglm. However, despite using the same weights, I get contradicting results. Perhaps I am misunderstanding how to use one or both of these functions. I'd appreciate any help you can provide. Thanks Brad http://www.nabble.com/file/p25969499/Regressions%2Bwith%2BWeights.txt Regressions+with+Weights.txt -- View this message in context: http://www.nabble.com/Weighted-Logistic-Regressions-using-svyglm-tp25969499p25969499.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ 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.
