Hi Michael,

Thanks for pointing me fGarch.  I actually started there, but it is not yet
available for 2.13.2 so I went directly to the (sn-package).

I've briefly explored your suggestion and think it will work.

Thanks
Steve
On Nov 3, 2011 10:41 PM, "R. Michael Weylandt" <michael.weylandt@gmail.com>
wrote:

> It seems like you'll need to apply some sort of MLE to estimate the
> parameters directly from the data before using dsn() to get the
> density. This might help with some of it:
> http://help.rmetrics.org/fGarch/html/snorm.html
>
> Michael
>
> On Thu, Nov 3, 2011 at 2:54 PM,  <Steve_Friedman@nps.gov> wrote:
> >
> > Hi,
> >
> > I need to create a plot (type = "h")  and then overlay a skewed-normal
> > curve on this distribution, but I'm not finding a procedure to accomplish
> > this. I want to use the plot function here in order to control the bin
> > distributions.
> >
> > I have explored the sn library and found the dsn function.  dsn uses
> known
> > location, scaling and shape parameters associated with a given input
> vector
> > of probabilities.  However, how can I calculate the skewed-normal curve
> if
> > I don't know these parameters in advance?
> >
> > Is there another function to calculate the skew-normal, perhaps in a
> > different package?
> >
> >
> > I'm working with R 2.13.2 on a windows based machine.
> >
> > Steve Friedman Ph. D.
> > Ecologist  / Spatial Statistical Analyst
> > Everglades and Dry Tortugas National Park
> > 950 N Krome Ave (3rd Floor)
> > Homestead, Florida 33034
> >
> > Steve_Friedman@nps.gov
> > Office (305) 224 - 4282
> > Fax     (305) 224 - 4147
> >
> > ______________________________________________
> > 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.
> >
>
> ______________________________________________
> 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.
>

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