[R] Normal distribution

Richardson, Patrick Patrick.Richardson at vai.org
Thu Oct 1 19:20:02 CEST 2009

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,


-----Original Message-----
From: Steve Lianoglou [mailto:mailinglist.honeypot at gmail.com] 
Sent: Thursday, October 01, 2009 1:18 PM
To: Richardson, Patrick
Cc: Noela Sánchez; r-help at r-project.org
Subject: Re: [R] Normal distribution


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?


On Thu, Oct 1, 2009 at 12:56 PM, Richardson, Patrick
<Patrick.Richardson at vai.org> wrote:
> ?shapiro.test
> -----Original Message-----
> From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-project.org] On Behalf Of Noela Sánchez
> Sent: Thursday, October 01, 2009 12:47 PM
> To: r-help at 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}}

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