I don't disagree. And to that end one could probably look at the skewness and kurtosis values as well. A combination of several techniques would probably be a good idea.
Best regards, Patrick -----Original Message----- From: Steve Lianoglou [mailto:mailinglist.honey...@gmail.com] Sent: Thursday, October 01, 2009 1:18 PM To: Richardson, Patrick Cc: Noela Sánchez; r-help@r-project.org Subject: Re: [R] Normal distribution Hi, I think you can also use a qq-plot to do the same, no? You won't get a statistic score + p.value, but perhaps you're more of a visual person? :-) -steve On Thu, Oct 1, 2009 at 12:56 PM, Richardson, Patrick <patrick.richard...@vai.org> wrote: > ?shapiro.test > > > -----Original Message----- > From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On > Behalf Of Noela Sánchez > Sent: Thursday, October 01, 2009 12:47 PM > To: r-help@r-project.org > Subject: [R] Normal distribution > > Hi, > > I am dealing with how to check in R if some data that I have belongs to a > normal distribution or not. I am not interested in obtaining the theoreticall > frequencies. I am only interested in determing if (by means of a test as > Kolmogorov, or whatever), if my data are normal or not. > > But I have tried with ks.test() and I have not got it. > > > -- > Noela > Grupo de Recursos Marinos y Pesquerías > Universidad de A Coruña > > [[alternative HTML version deleted]] > > This email message, including any attachments, is for ...{{dropped:25}} ______________________________________________ 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.