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.weyla...@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_fried...@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_fried...@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. > [[alternative HTML version deleted]] ______________________________________________ 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.
