Thanks Jorge, but I still don't understand where they come from. when I use: fitdistr(mydata, "t", df = 9) and get values for m and s, and the variance of my data should be the df/s?
I jsut want to be able to confirm how m and s are calculated mydt <- function(x, m, s, df) dt((x-m)/s, df)/s fitdistr(x2, mydt, list(m = 0, s = 1), df = 9, lower = c(-Inf, 0)) Thanks anyway for the help! Jorge Ivan Velez wrote: > > Dear lagreene, > See the second example in > > require(MASS) > ?fitdistr > > HTH, > > Jorge > > > On Thu, May 14, 2009 at 7:15 PM, lagreene <lagreene...@gmail.com> wrote: > >> >> Hi, >> I was wondering if anyone could tell me how m and s are calculated for a >> t >> distribution? >> >> I thought m was the sample mean and s the standard deviation- but >> obviously >> I'm wrong as this doesn'y give the same answer. >> >> Thank you >> -- >> View this message in context: >> http://www.nabble.com/fitdistr-for-t-distribution-tp23550779p23550779.html >> Sent from the R help mailing list archive at Nabble.com. >> >> ______________________________________________ >> 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. > > -- View this message in context: http://www.nabble.com/fitdistr-for-t-distribution-tp23550779p23557778.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ 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.