Hello, I have seen that some papers do this: 1.) Group data by year (e.g. 35 years)
2.) Estimate the mean of the key variable through the distribution that fits better (some years is a normal distribution , others is a more skewed, gamma distribution, etc.) 3.) With these estimated means of each year do a GLM. I'd like to know if it is possible (to use these means in a GLM) or is a wrong idea. Thanks in advance David -- View this message in context: http://www.nabble.com/distributions-and-glm-tp20075826p20075826.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.
