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| From | Nick Cox <njcoxstata@gmail.com> |
| To | statalist@hsphsun2.harvard.edu |
| Subject | Re: st: Output from SKTEST |
| Date | Mon, 2 Apr 2012 19:00:57 +0100 |
-skewplot- from SSC is one thing that grew out of David's work. Some
discussion in
SJ-4-1 gr0003 . . . . . . . . . . . . Speaking Stata: Graphing distributions
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . N. J. Cox
Q1/04 SJ 4(1):66--88 (no commands)
a review of official and user-written commands for
graphing univariate distributions; includes tricks
beyond what is obviously and readily available
Nick
On Mon, Apr 2, 2012 at 5:10 PM, David Hoaglin <dchoaglin@gmail.com> wrote:
> Maarten,
>
> It's wonderful to have hanging rootograms available. For the present
> purpose, though, a suspended rootogram (also available in the
> -hangroot- package) should be even better. But even a suspended
> rootogram may not show enough of the behavior in the tails, so a
> normal probability plot would be worthwhile.
>
> And if the data are highly skewed, either rootogram will mainly show
> that a normal distribution fits poorly.
>
> I strongly agree with your points that other aspects of the variable
> are usually more important in a regression.
>
> If the distribution shape of a variable is of interest, I suggest an
> approach rooted in Exploratory Data Analysis. One discussion appears
> in the chapter "Using Quantiles to Study Shape" in the book Exploring
> Data Tables, Trends, and Shapes (DC Hoagiln, F Mosteller, and JW
> Tukey, eds), Wiley, 1985.
>
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