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.
