Hi, thanks but not exactly. If you plot x vs. y you will see that the function that fits the data is a log-normal distribution multiplied with a constant. So what I want to do is more like a regression..
Estimating parameters to a model.. Gunther -----Ursprüngliche Nachricht----- Von: Peng Jiang [mailto:[EMAIL PROTECTED] Gesendet: Montag, 30. Juni 2008 14:00 An: Höning, Gunther Cc: r-help@r-project.org Betreff: Re: [R] Estimating parameters of log-normal distribution Hi, Gunther, maybe fitdistr() in MASS library can do the job , the code should be >library(MASS) > fitdistr( x, densfun = "log-normal") by using your data we can obtain the parameters , meanlog sdlog 2.5808007 1.2999517 (0.3752637) (0.2653515) is that what you want? On 2008-6-30, at ??5:26, Gunther Höning wrote: > Dear list, > > I have to vectors: > > x <- rep(c(2,4,8,24,48,72),2) > y > <- > c > (82543,169105,207615,96633,31988,7005,82687,172931,205541,101842,31898 > ,69 > 50) > > that follows a log-normal function as > > f(x)= SO/(sqrt(2*pi)*sigma *x) * exp(-(ln x - mu)^2/(2*sigma^2)) > > that is a log-normal distribution multiplied with SO. > > How can I estimate SO, mu and sigma in R ? > > > Wishes > Gunther > > ______________________________________________ > 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. ----------------------------------------------- Peng Jiang ?? ,Ph.D. Candidate Antai College of Economics & Management ???????? Department of Mathematics ??? Shanghai Jiaotong University (Minhang Campus) 800 Dongchuan Road 200240 Shanghai P. R. China ______________________________________________ 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.
