> The normal distribution is a continuous distribution, i.e., the frequency > for each observed value will essentially be 1/n and not converge to the > density function. Hence, you would need to look at histogram or smoothed > densities. Rootograms, on the other hand, are intended for discrete > distributions.
I don't think that's true - rootograms are useful for both continuous and discrete distributions. See (e.g.) p 314 at http://www.edwardtufte.com/tufte/tukey, where Tukey himself uses a rootogram with a normal distribution. Hadley -- Assistant Professor / Dobelman Family Junior Chair Department of Statistics / Rice University http://had.co.nz/ ______________________________________________ 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.
