Dear list, I am new to this list and I hope it is ok to post here even though I already posted this question on Cross Validated.
I am trying to predict the daily amount of waste per person produced in the fishery sector. We surveyed fishing boats at the end of their fishing trip and the variables I have are duration of trip (days), number of fishers, waste category and waste weight (g), boat ID. For each fishing trip I calculated grams of waste per person per day, i.e. daily waste per capita. To predict daily waste per capita, I am using a gaussian mixed effect model with log(waste per capita) as response variable (I transformed it cause it was not normally distributed - and I'm not sure it's correct to do so). Explanatory variable is waste category and boat ID is a random effect. I use the predict function to estimate daily waste per capita for each category and then back transformed it with exp(...). My question is: is it correct to transform daily weight per capita to fit a gaussian model? Thanks so much for your advice! Alessandra [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.