Hi, I have some data that is log-normally distributed and I am using a glm, type Gaussian to fit the logs.
I would like to know the expected values within the context of the lognormal model. I am unsure whether I have to use: Expected_values= exp(fitted(model)+sqrt(summary(model)$dispersion)/2) OR Expected_values= exp(fitted(model)+summary(model)$dispersion)/2) Your help is much appreciated. -- View this message in context: http://r.789695.n4.nabble.com/Gaussian-model-GLM-summary-model-dispersion-tp4637905.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.
