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.
To do this, I want to use the fitdistr tool from the MASS package to see how well my data fits the actual distribution, and also build a generalized linear model using the glm command. The summary of my data is: Min. 1st Qu. Median Mean 3rd Qu. Max. 0.0000 0.0000 0.0000 0.8617 0.8332 55.5600 So, no missing values, no negative values. When I try to use the fitdistr command, I get an error that I don't understand: m <- fitdistr(y, densfun="lognormal") Error in fitdistr(y, densfun = "lognormal") : need positive values to fit a log-Normal 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 Can anyone offer some suggestions? Thanks! -- Noah Silverman, M.S. UCLA Department of Statistics 8117 Math Sciences Building Los Angeles, CA 90095 ______________________________________________ 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.
