[R] Normal distribution

[Peter Ehlers]

Another interesting visual technique is given by the
qreference() function in pkg:DAAG. I've used this type
of display effectively with non-stats people as well
as in teaching intro courses in stats.
(I would randomize the location of the actual-data panel
and not use a different colour. The question then is,
can you discern the actual data from the simulated data?)

  -Peter Ehlers

Steve Lianoglou wrote:
> 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.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]]
>>
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>>
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> 
> 
>