Thanks so much. - Edward On Thu, May 22, 2008 at 11:17 AM, Charilaos Skiadas <[EMAIL PROTECTED]> wrote: > Try: > > mlogl_out <- nlm(mlogl, mean(vsamples), vsamples) > > or > > mlogl_out <- nlm(mlogl, mean(vsamples), x=vsamples) > > The argument vsamples=vsamples is passed to mlogl, since nlm does not > recognize it. But mlogl doesn't have a vsamples argument, only alpha and x > arguments. So you have to either leave mean(vsamples) and vsamples unnamed, > or else name them alpha and x respectively, as you told mlogl. Or change the > argument names in mlogl. > > Haris Skiadas > Department of Mathematics and Computer Science > Hanover College > > On May 21, 2008, at 10:05 PM, Edward Wijaya wrote: > >> Hi, >> >> I tried to compute maximum likelihood under gamma distribution, >> using nlm function. The code is this: >> >> __BEGIN__ >> >> vsamples<- c(103.9, 88.5, 242.9, 206.6, 175.7, 164.4) >> >> mlogl <- function(alpha, x) { >> if (length(alpha) > 1) stop("alpha must be scalar") >> if (alpha <= 0) stop("alpha must be positive") >> return(- sum(dgamma(x, shape = alpha, log = TRUE))) >> } >> >> mlogl_out <- nlm(mlogl, mean(vsamples),vsamples=vsamples) >> print(mlogl_out) >> >> __END__ >> >> However, it gives the following error: >> >> Error in f(x, ...) : >> unused argument(s) (vsamples = c(103.9, 88.5, 242.9, 206.6, 175.7, >> 164.4)) >> Calls: nlm -> <Anonymous> -> f >> Execution halted >> >> >> What's wrong in my way of calling 'nlm" function? >> Please advice. >> >> - Edward >> > > > > > >
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