Dear all, Thank you for your insights, suggestions and for sharing your knowledge. I have found the package fitdistrplus to meet our needs.
Warm regards, Bogdan On Wed, Feb 8, 2023 at 11:10 PM PIKAL Petr <petr.pi...@precheza.cz> wrote: > Hi > > Others gave you more fundamental answers. To check the possible > distribution > you could use package > > https://cran.r-project.org/web/packages/fitdistrplus/index.html > > Cheers > Petr > > > -----Original Message----- > > From: R-help <r-help-boun...@r-project.org> On Behalf Of Bogdan Tanasa > > Sent: Wednesday, February 8, 2023 5:35 PM > > To: r-help <r-help@r-project.org> > > Subject: [R] identify the distribution of the data > > > > Dear all, > > > > I do have dataframes with numerical values such as 1,9, 20, 51, 100 etc > > > > Which way do you recommend to use in order to identify the type of the > > distribution of the data (normal, poisson, bernoulli, exponential, > log-normal etc > > ..) > > > > Thanks so much, > > > > Bogdan > > > > [[alternative HTML version deleted]] > > > > ______________________________________________ > > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > > 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 -- To UNSUBSCRIBE and more, see 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.
