You might want to check again: I'm running fGarch on 2.13.2, Mac OSX 10.5.8.
Michael On Fri, Nov 4, 2011 at 9:36 AM, Steve Friedman <skfgla...@gmail.com> wrote: > 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. > ______________________________________________ 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.