Re: [R] glm - predict logistic regression - entering the betas manually.

It may be overkill, but you can specify the model pieces using the offset function in the model, then the predictions work out (at least for my simple trial case). Something like: fit <- glm( y ~ 0+offset(-1 + 2*x), family=binomial, data=data.frame(y=0, x=0) ) predict( fit, newdata=data.frame(x=s

[R] glm - predict logistic regression - entering the betas manually.

Dear All, I know this may be a trivial question. In the past I have used glm to make logistic regressions on data. The output creates an object with the results of the logistic regression. This object can then be used to make predictions. Great. I have a different problem. I need to make pre