On Wed, Apr 17, 2013 at 5:19 AM, Noah Silverman <noahsilver...@ucla.edu>wrote:
> Hi, > > I have some data, that when plotted looks very close to a log-normal > distribution. My goal is to build a regression model to test how this > variable responds to several independent variables. > [snip] When I try to build a simple model, I also get an error: > > l <- glm(y~ x, family=gaussian(link="log")) > > Error in eval(expr, envir, enclos) : cannot find valid starting values: > please specify some > > Duncan has described the problems with the lognormal. I will just point out that this 'simple model' is not lognormal. It is a model with normal errors and log link, ie. y ~ N(mu, sigma^2) log(mu) = x \beta -thomas -- Thomas Lumley Professor of Biostatistics University of Auckland [[alternative HTML version deleted]] ______________________________________________ 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.