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