Thank you for your answer. But I still have the problem; for example, if i have data for 10 months, estimate the parameters of my logit model using 10 months of data, and then use
predictions<-predict(model,data=1monthonly,family = binomial(link = logit),type="response") I still get the rpedictions vector with as many rows as the 10month dataset :( What can I do to solve this issue? Thank you in advance. -- View this message in context: http://r.789695.n4.nabble.com/Use-glm-coefficients-for-other-datasets-tp3276626p3276881.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.
