[R] rootogram for normal distributions

Achim Zeileis Achim.Zeileis at uibk.ac.at
Sun Jan 16 15:59:58 CET 2011

On Sun, 16 Jan 2011, Hadley Wickham wrote:

>> 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.

OK, let me rephrase: Rootograms as implemented in rootogram() are intended 
for discrete distributions. At least that's my reading. But maybe I've 
missed a trick that you can point us to.

> Hadley
> -- 
> Assistant Professor / Dobelman Family Junior Chair
> Department of Statistics / Rice University
> http://had.co.nz/
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