Stephen Tucker <brown_emu <at> yahoo.com> writes: > > I don't know that there is a single function, but you can perhaps apply a sequence of available functions - > > For instance, you can use fitdistr() in library(MASS) to estimate optimal parameters for a candidate set > of distributions; then look at each fit and also compare the deviance among the fits (possibly penalizing > distributions which require more parameters - for instance, using the Akaike Information > Criterion(?)). > > ----- Original Message ---- > From: Gundala Viswanath <gundalav <at> gmail.com> > To: r-help <at> stat.math.ethz.ch > Sent: Sunday, July 6, 2008 4:50:20 PM > Subject: [R] Method for checking automatically which distribtions fits a data > > Hi, > > Suppose I have a vector of data. > Is there a method in R to help us automatically > suggest which distributions fits to that data > (e.g. normal, gamma, multinomial etc) ? > > - Gundala Viswanath > Jakarta - Indonesia >
See https://stat.ethz.ch/pipermail/r-help/2008-June/166259.html for example, normal vs gamma might be a sensible question (for which you can use fitdistr() as suggested above), but "multinomial" implies a very specific kind of response -- discrete data with a specified number of possible outcomes. Ben Bolker ______________________________________________ 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.
